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- affiliation: University of Glasgow, UK
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2020 – today
- 2024
[j62]Siwei Liu
, Xi Wang, Craig Macdonald, Iadh Ounis:
A Social-aware Gaussian Pre-trained model for effective cold-start recommendation. Inf. Process. Manag. 61(2): 103601 (2024)- [j61]Graham McDonald, Craig Macdonald, Iadh Ounis:
Report on the 46th European Conference on Information Retrieval (ECIR 2024). SIGIR Forum 58(1): 1-18 (2024) - [j60]Zixuan Yi, Iadh Ounis, Craig MacDonald:
Contrastive Graph Prompt-tuning for Cross-domain Recommendation. ACM Trans. Inf. Syst. 42(2): 60:1-60:28 (2024) - [j59]Yaxiong Wu, Craig Macdonald, Iadh Ounis:
Personalised Multi-modal Interactive Recommendation with Hierarchical State Representations. Trans. Recomm. Syst. 2(3): 21:1-21:25 (2024) - [c295]Zeyuan Meng, Iadh Ounis, Craig Macdonald, Zixuan Yi:
Knowledge Graph Cross-View Contrastive Learning for Recommendation. ECIR (3) 2024: 3-18 - [c294]Erlend Frayling, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Effective Adhoc Retrieval Through Traversal of a Query-Document Graph. ECIR (3) 2024: 89-104 - [c293]Thomas Jänich, Graham McDonald, Iadh Ounis:
Improving Exposure Allocation in Rankings by Query Generation. ECIR (5) 2024: 121-129 - [c292]Thomas Jänich, Graham McDonald, Iadh Ounis:
Query Exposure Prediction for Groups of Documents in Rankings. ECIR (2) 2024: 143-158 - [c291]Hitarth Narvala, Graham McDonald, Iadh Ounis:
Displaying Evolving Events Via Hierarchical Information Threads for Sensitivity Review. ECIR (5) 2024: 261-266 - [c290]Zixuan Yi, Iadh Ounis:
A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation. RecSys 2024: 518-527 - [c289]Zeyuan Meng, Zixuan Yi, Iadh Ounis:
Knowledge-Enhanced Multi-Behaviour Contrastive Learning for Effective Recommendation. RecSys 2024: 1016-1021 - [c288]Thomas Jänich, Graham McDonald, Iadh Ounis:
Fairness-Aware Exposure Allocation via Adaptive Reranking. SIGIR 2024: 1504-1513 - [e10]Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14608, Springer 2024, ISBN 978-3-031-56026-2 [contents] - [e9]Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14609, Springer 2024, ISBN 978-3-031-56059-0 [contents] - [e8]Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14610, Springer 2024, ISBN 978-3-031-56062-0 [contents] - [e7]Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14611, Springer 2024, ISBN 978-3-031-56065-1 [contents] - [e6]Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14612, Springer 2024, ISBN 978-3-031-56068-2 [contents] - [e5]Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14613, Springer 2024, ISBN 978-3-031-56071-2 [contents] - [i32]Thomas Jänich, Graham McDonald, Iadh Ounis:
Query Exposure Prediction for Groups of Documents in Rankings. CoRR abs/2401.13434 (2024) - [i31]Manish Chandra, Debasis Ganguly, Yiwen Li, Iadh Ounis:
'One size doesn't fit all': Learning how many Examples to use for In-Context Learning for Improved Text Classification. CoRR abs/2403.06402 (2024) - [i30]Zixuan Yi, Xi Wang, Iadh Ounis:
A Directional Diffusion Graph Transformer for Recommendation. CoRR abs/2404.03326 (2024) - [i29]Andrew Parry, Thomas Jänich, Sean MacAvaney, Iadh Ounis:
Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023. CoRR abs/2405.01122 (2024) - [i28]Zhaohan Meng, Zaiqiao Meng, Iadh Ounis:
FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. CoRR abs/2406.01651 (2024) - [i27]Zixuan Yi, Iadh Ounis:
A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation. CoRR abs/2407.19886 (2024) - 2023
- [j58]Hitarth Narvala, Graham McDonald, Iadh Ounis:
Identifying chronological and coherent information threads using 5W1H questions and temporal relationships. Inf. Process. Manag. 60(3): 103274 (2023) - [j57]Jingmin Huang, Bowei Chen, Zhi Yan, Iadh Ounis, Jun Wang:
GEO: A Computational Design Framework for Automotive Exterior Facelift. ACM Trans. Knowl. Discov. Data 17(6): 82:1-82:20 (2023) - [j56]Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis:
Graph Neural Pre-training for Recommendation with Side Information. ACM Trans. Inf. Syst. 41(3): 74:1-74:28 (2023) - [j55]Xiao Wang, Craig MacDonald, Nicola Tonellotto, Iadh Ounis:
ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. ACM Trans. Web 17(1): 3:1-3:39 (2023) - [c287]Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Effective Contrastive Weighting for Dense Query Expansion. ACL (1) 2023: 12688-12704 - [c286]Manish Chandra, Debasis Ganguly, Tulika Saha, Iadh Ounis:
'Choose your Data Wisely': Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes. CIKM 2023: 3768-3772 - [c285]Zixuan Yi, Iadh Ounis, Craig Macdonald:
Graph Contrastive Learning with Positional Representation for Recommendation. ECIR (2) 2023: 288-303 - [c284]Thomas Jänich, Graham McDonald, Iadh Ounis:
ColBERT-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval. ECIR (2) 2023: 457-465 - [c283]Hitarth Narvala, Graham McDonald, Iadh Ounis:
Effective Hierarchical Information Threading Using Network Community Detection. ECIR (1) 2023: 701-716 - [c282]Sarawoot Kongyoung, Craig MacDonald, Iadh Ounis:
Multi-Task Learning of Query Generation and Classification for Generative Conversational Question Rewriting. EMNLP (Findings) 2023: 13667-13678 - [c281]Yaxiong Wu, Craig Macdonald, Iadh Ounis:
Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback. RecSys 2023: 362-373 - [c280]Andreas Chari, Sean MacAvaney, Iadh Ounis:
On the Effects of Regional Spelling Conventions in Retrieval Models. SIGIR 2023: 2220-2224 - [c279]Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. SIGIR 2023: 2552-2561 - [i26]Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Generative Query Reformulation for Effective Adhoc Search. CoRR abs/2308.00415 (2023) - [i25]Andreas Chari, Sean MacAvaney, Iadh Ounis:
On the Effects of Regional Spelling Conventions in Retrieval Models. CoRR abs/2308.00480 (2023) - [i24]Zixuan Yi, Iadh Ounis, Craig Macdonald:
Contrastive Graph Prompt-tuning for Cross-domain Recommendation. CoRR abs/2308.10685 (2023) - [i23]Zixuan Yi, Zijun Long, Iadh Ounis, Craig Macdonald, Richard McCreadie:
Large Multi-modal Encoders for Recommendation. CoRR abs/2310.20343 (2023) - [i22]Siwei Liu, Xi Wang, Craig Macdonald, Iadh Ounis:
A Social-aware Gaussian Pre-trained Model for Effective Cold-start Recommendation. CoRR abs/2311.15790 (2023) - 2022
- [j54]Xiao Wang, Craig Macdonald, Iadh Ounis:
Improving zero-shot retrieval using dense external expansion. Inf. Process. Manag. 59(5): 103026 (2022) - [j53]Graham McDonald, Craig Macdonald, Iadh Ounis:
Search results diversification for effective fair ranking in academic search. Inf. Retr. J. 25(1): 1-26 (2022) - [j52]Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis:
The Simpson's Paradox in the Offline Evaluation of Recommendation Systems. ACM Trans. Inf. Syst. 40(1): 4:1-4:22 (2022) - [j51]Xi Wang, Iadh Ounis, Craig Macdonald:
BanditProp: Bandit Selection of Review Properties for Effective Recommendation. ACM Trans. Web 16(4): 20:1-20:19 (2022) - [c278]Jingmin Huang, Bowei Chen, Lan Luo, Shigang Yue, Iadh Ounis:
DVM-CAR: A Large-Scale Automotive Dataset for Visual Marketing Research and Applications. IEEE Big Data 2022: 4140-4147 - [c277]Hitarth Narvala, Graham McDonald, Iadh Ounis:
The Role of Latent Semantic Categories and Clustering in Enhancing the Efficiency of Human Sensitivity Review. CHIIR 2022: 56-66 - [c276]Hitarth Narvala, Graham McDonald, Iadh Ounis:
Sensitivity Review of Large Collections by Identifying and Prioritising Coherent Documents Groups. CIKM 2022: 4931-4935 - [c275]Erlend Frayling, Craig Macdonald, Graham McDonald, Iadh Ounis:
Using Entities in Knowledge Graph Hierarchies to Classify Sensitive Information. CLEF 2022: 125-132 - [c274]Yaxiong Wu, Craig Macdonald, Iadh Ounis:
Multimodal Conversational Fashion Recommendation with Positive and Negative Natural-Language Feedback. CUI 2022: 6:1-6:10 - [c273]Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Streamlining Evaluation with ir-measures. ECIR (2) 2022: 305-310 - [c272]Xi Wang, Iadh Ounis, Craig Macdonald:
Effective Rating Prediction Using an Attention-Based User Review Sentiment Model. ECIR (1) 2022: 487-501 - [c271]Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Reproducing Personalised Session Search Over the AOL Query Log. ECIR (1) 2022: 627-640 - [c270]Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis:
monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering. EMNLP 2022: 7207-7218 - [c269]Shameem Puthiya Parambath, Siwei Liu, Christos Anagnostopoulos, Roderick Murray-Smith, Iadh Ounis:
Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis. ICTIR 2022: 108-114 - [c268]Yaxiong Wu, Craig Macdonald, Iadh Ounis:
Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation. RecSys 2022: 124-133 - [c267]Zixuan Yi, Xi Wang, Iadh Ounis, Craig MacDonald:
Multi-modal Graph Contrastive Learning for Micro-video Recommendation. SIGIR 2022: 1807-1811 - [c266]Siwei Liu, Iadh Ounis, Craig Macdonald:
An MLP-based Algorithm for Efficient Contrastive Graph Recommendations. SIGIR 2022: 2431-2436 - [c265]Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
An Inspection of the Reproducibility and Replicability of TCT-ColBERT. SIGIR 2022: 2790-2800 - [c264]Thomas Jänich, Graham McDonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2022 Fair Ranking Track. TREC 2022 - [c263]Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2022 Conversational Assistance Track. TREC 2022 - [c262]Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Experiments with Adaptive ReRanking and ColBERT-PRF: University of Glasgow Terrier Team at TREC DL 2022. TREC 2022 - [p1]Richard McCreadie, John Soldatos, Jonathan Fürst, Mauricio Fadel Argerich, George Kousiouris, Jean-Didier Totow, Antonio Castillo Nieto, Bernat Quesada Navidad, Dimosthenis Kyriazis, Craig Macdonald, Iadh Ounis:
Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations. Technologies and Applications for Big Data Value 2022: 135-158 - [i21]Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Reproducing Personalised Session Search over the AOL Query Log. CoRR abs/2201.08622 (2022) - [i20]Ting Su, Craig Macdonald, Iadh Ounis:
Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter. CoRR abs/2211.10672 (2022) - [i19]Ting Su, Craig Macdonald, Iadh Ounis:
Entity-Assisted Language Models for Identifying Check-worthy Sentences. CoRR abs/2211.10678 (2022) - 2021
- [j50]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Variational Bayesian representation learning for grocery recommendation. Inf. Retr. J. 24(4-5): 347-369 (2021) - [j49]Sevgi Yigit-Sert, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis, Özgür Ulusoy:
Explicit diversification of search results across multiple dimensions for educational search. J. Assoc. Inf. Sci. Technol. 72(3): 315-330 (2021) - [c261]Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis:
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. CIKM 2021: 4526-4533 - [c260]Hitarth Narvala, Graham McDonald, Iadh Ounis:
RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification. EMNLP (Findings) 2021: 3671-3681 - [c259]Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. ICTIR 2021: 297-306 - [c258]Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
On Single and Multiple Representations in Dense Passage Retrieval. IIR 2021 - [c257]Yaxiong Wu, Craig Macdonald, Iadh Ounis:
Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation. RecSys 2021: 241-251 - [c256]Alberto Ueda, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Structured Fine-Tuning of Contextual Embeddings for Effective Biomedical Retrieval. SIGIR 2021: 2031-2035 - [c255]Xi Wang, Iadh Ounis, Craig Macdonald:
Leveraging Review Properties for Effective Recommendation. WWW 2021: 2209-2219 - [i18]Xi Wang, Iadh Ounis, Craig Macdonald:
Leveraging Review Properties for Effective Recommendation. CoRR abs/2102.03089 (2021) - [i17]Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis:
The Simpson's Paradox in the Offline Evaluation of Recommendation Systems. CoRR abs/2104.08912 (2021) - [i16]Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. CoRR abs/2106.11251 (2021) - [i15]Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis:
Graph Neural Pre-training for Enhancing Recommendations using Side Information. CoRR abs/2107.03936 (2021) - [i14]Sean MacAvaney, Craig Macdonald, Roderick Murray-Smith, Iadh Ounis:
IntenT5: Search Result Diversification using Causal Language Models. CoRR abs/2108.04026 (2021) - [i13]Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
On Single and Multiple Representations in Dense Passage Retrieval. CoRR abs/2108.06279 (2021) - [i12]Jingmin Huang, Bowei Chen, Lan Luo, Shigang Yue, Iadh Ounis:
DVM-CAR: A large-scale automotive dataset for visual marketing research and applications. CoRR abs/2109.00881 (2021) - [i11]Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Streamlining Evaluation with ir-measures. CoRR abs/2111.13466 (2021) - 2020
- [j48]Javier Sanz-Cruzado, Pablo Castells, Craig Macdonald, Iadh Ounis:
Effective contact recommendation in social networks by adaptation of information retrieval models. Inf. Process. Manag. 57(5): 102285 (2020) - [j47]Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
A Contextual Recurrent Collaborative Filtering framework for modelling sequences of venue checkins. Inf. Process. Manag. 57(6): 102092 (2020) - [j46]Sevgi Yigit-Sert, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis, Özgür Ulusoy:
Supervised approaches for explicit search result diversification. Inf. Process. Manag. 57(6): 102356 (2020) - [j45]Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang, Richard McCreadie, Iadh Ounis:
Jointly Learning Representations of Nodes and Attributes for Attributed Networks. ACM Trans. Inf. Syst. 38(2): 16:1-16:32 (2020) - [j44]Graham McDonald, Craig Macdonald, Iadh Ounis:
How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review. ACM Trans. Inf. Syst. 39(1): 4:1-4:34 (2020) - [c254]Xi Wang, Iadh Ounis, Craig MacDonald:
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. CIKM 2020: 1565-1574 - [c253]Javier Sanz-Cruzado, Craig Macdonald, Iadh Ounis, Pablo Castells:
Axiomatic Analysis of Contact Recommendation Methods in Social Networks: An IR Perspective. ECIR (1) 2020: 175-190 - [c252]Yaxiong Wu, Craig Macdonald, Iadh Ounis:
A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation. ICTIR 2020: 89-96 - [c251]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang:
BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. RecSys 2020: 588-590 - [c250]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. RecSys 2020: 681-686 - [c249]Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis:
Using Exploration to Alleviate Closed Loop Effects in Recommender Systems. SIGIR 2020: 2025-2028 - [c248]Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng:
A Heterogeneous Graph Neural Model for Cold-start Recommendation. SIGIR 2020: 2029-2032 - [c247]Graham McDonald, Craig Macdonald, Iadh Ounis:
Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review. SIGIR 2020: 2053-2056 - [c246]Hitarth Narvala, Graham McDonald, Iadh Ounis:
Receptor: A Platform for Exploring Latent Relations in Sensitive Documents. SIGIR 2020: 2161-2164 - [c245]Graham McDonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2020 Fair Ranking Track. TREC 2020 - [c244]Alberto Ueda, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
University of Glasgow Terrier Team and UFMG at the TREC 2020 Precision Medicine Track. TREC 2020 - [c243]Xiao Wang, Yaxiong Wu, Xi Wang, Craig Macdonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track. TREC 2020 - [i10]Xiao Wang, Craig Macdonald, Iadh Ounis:
Deep Reinforced Query Reformulation for Information Retrieval. CoRR abs/2007.07987 (2020) - [i9]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. CoRR abs/2007.13237 (2020) - [i8]Xi Wang, Iadh Ounis, Craig Macdonald:
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. CoRR abs/2008.06487 (2020)
2010 – 2019
- 2019
- [j43]Vinicius Monteiro de Lira, Craig Macdonald, Iadh Ounis, Raffaele Perego, Chiara Renso, Valéria Cesário Times:
Event attendance classification in social media. Inf. Process. Manag. 56(3): 687-703 (2019) - [j42]Richard McCreadie, Shahzad Rajput, Ian Soboroff, Craig Macdonald, Iadh Ounis:
On enhancing the robustness of timeline summarization test collections. Inf. Process. Manag. 56(5): 1815-1836 (2019) - [j41]Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima:
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum 53(2): 20-43 (2019) - [c242]Graham McDonald, Craig Macdonald, Iadh Ounis:
How Sensitivity Classification Effectiveness Impacts Reviewers in Technology-Assisted Sensitivity Review. CHIIR 2019: 337-341 - [c241]Ting Su, Craig Macdonald, Iadh Ounis:
Entity Detection for Check-worthiness Prediction: Glasgow Terrier at CLEF CheckThat! 2019. CLEF (Working Notes) 2019 - [c240]Xi Wang, Iadh Ounis, Craig Macdonald:
Comparison of Sentiment Analysis and User Ratings in Venue Recommendation. ECIR (1) 2019: 215-228 - [c239]Jarana Manotumruksa, Dimitrios Rafailidis, Craig Macdonald, Iadh Ounis:
On Cross-Domain Transfer in Venue Recommendation. ECIR (1) 2019: 443-456 - [c238]Xi Wang, Anjie Fang, Iadh Ounis, Craig Macdonald:
Evaluating Similarity Metrics for Latent Twitter Topics. ECIR (1) 2019: 787-794 - [c237]Siwei Liu, Iadh Ounis, Craig Macdonald:
Social Regularisation in a BPR-based Venue Recommendation System. FDIA@ESSIR 2019: 16-22 - [c236]Amir Hossein Jadidinejad, Craig MacDonald, Iadh Ounis:
Unifying Explicit and Implicit Feedback for Rating Prediction and Ranking Recommendation Tasks. ICTIR 2019: 149-156 - [c235]Ting Su, Craig Macdonald, Iadh Ounis:
Ensembles of Recurrent Networks for Classifying the Relationship of Fake News Titles. SIGIR 2019: 893-896 - [c234]Charles Thomas, Richard McCreadie, Iadh Ounis:
Event Tracker: A Text Analytics Platform for Use During Disasters. SIGIR 2019: 1341-1344 - [c233]Graham McDonald, Iadh Ounis, Craig Macdonald, Thibaut Thonet, Jean-Michel Renders:
University of Glasgow Terrier Team and Naver Labs Europe at TREC 2019 Fair Ranking Track. TREC 2019 - [c232]Ting Su, Xi Wang, Craig Macdonald, Iadh Ounis:
University of Glasgow Terrier Team at the TREC 2019 Deep Learning Track. TREC 2019 - [i7]Graham McDonald, Craig Macdonald, Iadh Ounis:
The FACTS of Technology-Assisted Sensitivity Review. CoRR abs/1907.02956 (2019) - [i6]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Variational Bayesian Context-aware Representation for Grocery Recommendation. CoRR abs/1909.07705 (2019) - 2018
- [j40]Nicola Tonellotto, Craig Macdonald, Iadh Ounis:
Efficient Query Processing for Scalable Web Search. Found. Trends Inf. Retr. 12(4-5): 319-500 (2018) - [j39]Xiao Yang, Craig Macdonald, Iadh Ounis:
Using word embeddings in Twitter election classification. Inf. Retr. J. 21(2-3): 183-207 (2018) - [j38]Karin Sim Smith, Richard McCreadie, Craig MacDonald, Iadh Ounis:
Regional Sentiment Bias in Social Media Reporting During Crises. Inf. Syst. Frontiers 20(5): 1013-1025 (2018) - [j37]Richard McCreadie, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Explicit Diversification of Event Aspects for Temporal Summarization. ACM Trans. Inf. Syst. 36(3): 25:1-25:31 (2018) - [c231]Anjie Fang, Iadh Ounis, Craig MacDonald, Philip Habel, Xiaoyu Xiong, Haitao Yu:
An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter. CIKM 2018: 1547-1550 - [c230]Jorge David Gonzalez Paule, Yashar Moshfeghi, Craig Macdonald, Iadh Ounis:
Learning to Geolocalise Tweets at a Fine-Grained Level. CIKM 2018: 1675-1678 - [c229]Craig Macdonald, Richard McCreadie, Iadh Ounis:
Agile Information Retrieval Experimentation with Terrier Notebooks. DESIRES 2018: 54-61 - [c228]Xiao Yang, Iadh Ounis, Richard McCreadie, Craig Macdonald, Anjie Fang:
On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings. ECIR 2018: 263-275 - [c227]Graham McDonald, Craig Macdonald, Iadh Ounis:
Active Learning Strategies for Technology Assisted Sensitivity Review. ECIR 2018: 439-453 - [c226]Graham McDonald, Craig Macdonald, Iadh Ounis:
Towards Maximising Openness in Digital Sensitivity Review Using Reviewing Time Predictions. ECIR 2018: 699-706 - [c225]Ting Su, Anjie Fang, Richard McCreadie, Craig Macdonald, Iadh Ounis:
On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification. ECIR 2018: 765-772 - [c224]Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
A Contextual Attention Recurrent Architecture for Context-Aware Venue Recommendation. SIGIR 2018: 555-564 - [c223]Richard McCreadie, Craig Macdonald, Iadh Ounis:
Automatic Ground Truth Expansion for Timeline Evaluation. SIGIR 2018: 685-694 - [r4]Craig MacDonald, Iadh Ounis:
WEB Information Retrieval Models. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Iadh Ounis:
Inverse Document Frequency. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j36]Leif Azzopardi, Craig Macdonald, Iadh Ounis, Martin Halvey:
Report on the Information Retrieval Festival (IRFest2017). SIGIR Forum 51(1): 12-28 (2017) - [c222]Karin Sim Smith, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Analyzing Disproportionate Reaction via Comparative Multilingual Targeted Sentiment in Twitter. ASONAM 2017: 317-320 - [c221]Xiao Yang, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Transfer Learning for Multi-language Twitter Election Classification. ASONAM 2017: 341-348 - [c220]Vinicius Monteiro de Lira, Craig Macdonald, Iadh Ounis, Raffaele Perego, Chiara Renso, Valéria Cesário Times:
Exploring Social Media for Event Attendance. ASONAM 2017: 447-450 - [c219]Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
A Deep Recurrent Collaborative Filtering Framework for Venue Recommendation. CIKM 2017: 1429-1438 - [c218]Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation. CIKM 2017: 1469-1478 - [c217]Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel, Xiao Yang:
Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data. ECIR 2017: 252-265 - [c216]Graham McDonald, Craig Macdonald, Iadh Ounis:
Enhancing Sensitivity Classification with Semantic Features Using Word Embeddings. ECIR 2017: 450-463 - [c215]Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
Matrix Factorisation with Word Embeddings for Rating Prediction on Location-Based Social Networks. ECIR 2017: 647-654 - [c214]Mehmet Akcay, Ismail Sengor Altingovde, Craig Macdonald, Iadh Ounis:
On the Additivity and Weak Baselines for Search Result Diversification Research. ICTIR 2017: 109-116 - [c213]Craig MacDonald, Nicola Tonellotto, Iadh Ounis:
Efficient & Effective Selective Query Rewriting with Efficiency Predictions. SIGIR 2017: 495-504 - [c212]Graham McDonald, Nicolás García-Pedrajas, Craig Macdonald, Iadh Ounis:
A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences. SIGIR 2017: 1097-1100 - [i5]Nut Limsopatham, Craig MacDonald, Iadh Ounis:
Inferring Conceptual Relationships When Ranking Patients. CoRR abs/1702.00171 (2017) - 2016
- [c211]Jarana Manotumruksa, Craig MacDonald, Iadh Ounis:
Regularising Factorised Models for Venue Recommendation using Friends and their Comments. CIKM 2016: 1981-1984 - [c210]Jarana Manotumruksa, Craig MacDonald, Iadh Ounis:
Predicting Contextually Appropriate Venues in Location-Based Social Networks. CLEF 2016: 96-109 - [c209]Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Experiments in Newswire Summarisation. ECIR 2016: 421-435 - [c208]Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel:
Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data. ECIR 2016: 492-504 - [c207]Saul Vargas, Richard McCreadie, Craig MacDonald, Iadh Ounis:
Comparing Overall and Targeted Sentiments in Social Media during Crises. ICWSM 2016: 695-698 - [c206]Richard Zanibbi, Akiko Aizawa, Michael Kohlhase, Iadh Ounis, Goran Topic, Kenny Davila:
NTCIR-12 MathIR Task Overview. NTCIR 2016 - [c205]Bekir Taner Dinçer, Craig Macdonald, Iadh Ounis:
Risk-Sensitive Evaluation and Learning to Rank using Multiple Baselines. SIGIR 2016: 483-492 - [c204]Sean Moran, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Enhancing First Story Detection using Word Embeddings. SIGIR 2016: 821-824 - [c203]Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel:
Examining the Coherence of the Top Ranked Tweet Topics. SIGIR 2016: 825-828 - [c202]Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel:
Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data. SIGIR 2016: 1057-1060 - [c201]Richard McCreadie, Craig Macdonald, Iadh Ounis:
EAIMS: Emergency Analysis Identification and Management System. SIGIR 2016: 1101-1104 - [c200]Jarana Manotumruksa, Craig MacDonald, Iadh Ounis:
University of Glasgow Terrier Team at TREC 2016: Experiments in Contextual Suggestions. TREC 2016 - [i4]Xiao Yang, Craig MacDonald, Iadh Ounis:
Using Word Embeddings in Twitter Election Classification. CoRR abs/1606.07006 (2016) - [i3]Jarana Manotumruksa, Craig MacDonald, Iadh Ounis:
Modelling User Preferences using Word Embeddings for Context-Aware Venue Recommendation. CoRR abs/1606.07828 (2016) - [i2]Richard McCreadie, Craig MacDonald, Iadh Ounis:
Emergency Identification and Analysis with EAIMS. CoRR abs/1610.04002 (2016) - 2015
- [j35]Rodrygo L. T. Santos, Craig MacDonald, Iadh Ounis:
Search Result Diversification. Found. Trends Inf. Retr. 9(1): 1-90 (2015) - [j34]Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda:
Queuing Theory-based Latency/Power Tradeoff Models for Replicated Search Engines. J. Univers. Comput. Sci. 21(13): 1790-1809 (2015) - [c199]Romain Deveaud, M-Dyaa Albakour, Craig Macdonald, Iadh Ounis:
Experiments with a Venue-Centric Model for Personalisedand Time-Aware Venue Suggestion. CIKM 2015: 53-62 - [c198]Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis:
Generalized Team Draft Interleaving. CIKM 2015: 773-782 - [c197]Giacomo Berardi, Andrea Esuli, Craig Macdonald, Iadh Ounis, Fabrizio Sebastiani:
Semi-Automated Text Classification for Sensitivity Identification. CIKM 2015: 1711-1714 - [c196]Nut Limsopatham, Craig Macdonald, Iadh Ounis:
Modelling the Usefulness of Document Collections for Query Expansion in Patient Search. CIKM 2015: 1739-1742 - [c195]Yashar Moshfeghi, Iadh Ounis, Craig Macdonald, Joemon M. Jose, Peter Triantafillou, Mark Livingston, Piyushimita Thakuriah:
UCUI'15: The 1st International Workshop on Understanding the City with Urban Informatics. CIKM 2015: 1955-1956 - [c194]Thibaut Thonet, Romain Deveaud, Iadh Ounis, Craig Macdonald:
Suggestion contextuelle composite. CORIA 2015: 89-104 - [c193]Anjie Fang, Iadh Ounis, Philip Habel, Craig MacDonald, Nut Limsopatham:
Topic-centric Classification of Twitter User's Political Orientation. FDIA 2015 - [c192]Craig Macdonald, Bekir Taner Dinçer, Iadh Ounis:
Transferring Learning To Rank Models for Web Search. ICTIR 2015: 41-50 - [c191]Graham McDonald, Craig Macdonald, Iadh Ounis:
Using Part-of-Speech N-grams for Sensitive-Text Classification. ICTIR 2015: 381-384 - [c190]Graham McDonald, Romain Deveaud, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management. ICWSM 2015: 654-657 - [c189]Saúl Vargas, Craig Macdonald, Iadh Ounis:
Analysing Compression Techniques for In-Memory Collaborative Filtering. RecSys Posters 2015 - [c188]Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis:
Optimised Scheduling of Online Experiments. SIGIR 2015: 453-462 - [c187]Eugene Kharitonov, Aleksandr Vorobev, Craig Macdonald, Pavel Serdyukov, Iadh Ounis:
Sequential Testing for Early Stopping of Online Experiments. SIGIR 2015: 473-482 - [c186]M-Dyaa Albakour, Craig Macdonald, Iadh Ounis:
Using Sensor Metadata Streams to Identify Topics of Local Events in the City. SIGIR 2015: 711-714 - [c185]Giovanni Di Santo, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Comparing Approaches for Query Autocompletion. SIGIR 2015: 775-778 - [c184]Anjie Fang, Iadh Ounis, Philip Habel, Craig Macdonald, Nut Limsopatham:
Topic-centric Classification of Twitter User's Political Orientation. SIGIR 2015: 791-794 - [c183]Richard McCreadie, Saul Vargas, Craig MacDonald, Iadh Ounis, Stuart Mackie, Jarana Manotumruksa, Graham McDonald:
University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks. TREC 2015 - [c182]Richard McCreadie, Craig Macdonald, Iadh Ounis:
Crowdsourced Rumour Identification During Emergencies. WWW (Companion Volume) 2015: 965-970 - [c181]Richard McCreadie, Karolin Kappler, Andreas Kaltenbrunner, Magdalini Kardara, Craig Macdonald, John Soldatos, Iadh Ounis:
SUPER: Towards the use of Social Sensors for Security Assessments and Proactive Management of Emergencies. WWW (Companion Volume) 2015: 1217-1220 - [e4]Yashar Moshfeghi, Iadh Ounis, Craig Macdonald, Joemon M. Jose, Peter Triantafillou, Mark Livingston, Piyushimita Thakuriah:
Proceedings of the ACM First International Workshop on Understanding the City with Urban Informatics, UCUI 2015, Melbourne, Australia, October 19, 2015. ACM 2015, ISBN 978-1-4503-3786-1 [contents] - 2014
- [j33]M-Dyaa Albakour, Craig Macdonald, Iadh Ounis, Charles L. A. Clarke, Veli Bicer:
Report on the 1st International Workshop on Information Access in Smart Cities (i-ASC 2014). SIGIR Forum 48(2): 96-104 (2014) - [c180]Miles Osborne, Sean Moran, Richard McCreadie, Alexander von Lünen, Martin D. Sykora, Amparo Elizabeth Cano, Neil Ireson, Craig Macdonald, Iadh Ounis, Yulan He, Tom Jackson, Fabio Ciravegna, Ann O'Brien:
Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media. ACL (System Demonstrations) 2014: 37-42 - [c179]Richard McCreadie, Craig Macdonald, Iadh Ounis:
Incremental Update Summarization: Adaptive Sentence Selection based on Prevalence and Novelty. CIKM 2014: 301-310 - [c178]Nut Limsopatham, Craig Macdonald, Iadh Ounis:
Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients. CIKM 2014: 1639-1648 - [c177]Romain Deveaud, M-Dyaa Albakour, Craig Macdonald, Iadh Ounis:
On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions. CIKM 2014: 1827-1830 - [c176]Romain Deveaud, M-Dyaa Albakour, Jarana Manotumruksa, Craig Macdonald, Iadh Ounis:
SmartVenues: Recommending Popular and Personalised Venues in a City. CIKM 2014: 2078-2080 - [c175]Richard McCreadie, Craig Macdonald, Iadh Ounis, Jon Brassey:
A Study of Personalised Medical Literature Search. CLEF 2014: 74-85 - [c174]Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis:
Comparing Algorithms for Microblog Summarisation. CLEF 2014: 153-159 - [c173]Graham McDonald, Romain Deveaud, Richard McCreadie, Timothy Gollins, Craig Macdonald, Iadh Ounis:
University of Glasgow Terrier Team / Project Abacá at RepLab 2014: Reputation Dimensions Task. CLEF (Working Notes) 2014: 1500-1504 - [c172]Iadh Ounis:
Drowning in Data: On Big Data Streams in IR for Detecting, Tracking and Summarising Events on Twitter. CORIA-CIFED 2014 - [c171]Bekir Taner Dinçer, Iadh Ounis, Craig Macdonald:
Tackling Biased Baselines in the Risk-Sensitive Evaluation of Retrieval Systems. ECIR 2014: 26-38 - [c170]Edwin Thuma, Simon Rogers, Iadh Ounis:
Detecting Missing Content Queries in an SMS-Based HIV/AIDS FAQ Retrieval System. ECIR 2014: 247-259 - [c169]Matteo Catena, Craig Macdonald, Iadh Ounis:
On Inverted Index Compression for Search Engine Efficiency. ECIR 2014: 359-371 - [c168]Graham McDonald, Craig Macdonald, Iadh Ounis, Timothy Gollins:
Towards a Classifier for Digital Sensitivity Review. ECIR 2014: 500-506 - [c167]M-Dyaa Albakour, Craig Macdonald, Iadh Ounis, Charles L. A. Clarke, Veli Bicer:
Information Access in Smart Cities (i-ASC). ECIR 2014: 810-814 - [c166]Stuart Mackie, Richard McCreadie, Craig Macdonald, Iadh Ounis:
On choosing an effective automatic evaluation metric for microblog summarisation. IIiX 2014: 115-124 - [c165]M-Dyaa Albakour, Romain Deveaud, Craig Macdonald, Iadh Ounis:
Diversifying contextual suggestions from location-based social networks. IIiX 2014: 125-134 - [c164]Akiko Aizawa, Michael Kohlhase, Iadh Ounis, Moritz Schubotz:
NTCIR-11 Math-2 Task Overview. NTCIR 2014 - [c163]Bekir Taner Dinçer, Craig Macdonald, Iadh Ounis:
Hypothesis testing for the risk-sensitive evaluation of retrieval systems. SIGIR 2014: 23-32 - [c162]Timothy Gollins, Graham McDonald, Craig Macdonald, Iadh Ounis:
On Using Information Retrieval for the Selection and Sensitivity Review of Digital Public Records. PIR@SIGIR 2014: 39-40 - [c161]Richard McCreadie, Romain Deveaud, M-Dyaa Albakour, Stuart Mackie, Nut Limsopatham, Craig Macdonald, Iadh Ounis, Thibaut Thonet, Bekir Taner Dinçer:
University of Glasgow at TREC 2014: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks. TREC 2014 - [c160]Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda:
A self-adapting latency/power tradeoff model for replicated search engines. WSDM 2014: 13-22 - 2013
- [j32]Richard McCreadie, Craig Macdonald, Iadh Ounis:
Identifying top news using crowdsourcing. Inf. Retr. 16(2): 179-209 (2013) - [j31]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Learning to rank query suggestions for adhoc and diversity search. Inf. Retr. 16(4): 429-451 (2013) - [j30]Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis:
The whens and hows of learning to rank for web search. Inf. Retr. 16(5): 584-628 (2013) - [j29]Veronica Gil-Costa, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Modelling efficient novelty-based search result diversification in metric spaces. J. Discrete Algorithms 18: 75-88 (2013) - [j28]Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis, Ben He:
About learning models with multiple query-dependent features. ACM Trans. Inf. Syst. 31(3): 11 (2013) - [c159]Richard McCreadie, Craig Macdonald, Iadh Ounis, Miles Osborne, Sasa Petrovic:
Scalable distributed event detection for Twitter. IEEE BigData 2013: 543-549 - [c158]Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto:
Load-sensitive selective pruning for distributed search. CIKM 2013: 379-388 - [c157]M-Dyaa Albakour, Craig Macdonald, Iadh Ounis:
On sparsity and drift for effective real-time filtering in microblogs. CIKM 2013: 419-428 - [c156]Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis:
Using historical click data to increase interleaving sensitivity. CIKM 2013: 679-688 - [c155]Nut Limsopatham, Craig Macdonald, Iadh Ounis:
Learning to handle negated language in medical records search. CIKM 2013: 1431-1440 - [c154]Nut Limsopatham, Craig Macdonald, Iadh Ounis:
Learning to selectively rank patients' medical history. CIKM 2013: 1833-1836 - [c153]Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis:
Intent models for contextualising and diversifying query suggestions. CIKM 2013: 2303-2308 - [c152]Nut Limsopatham, Craig Macdonald, Iadh Ounis:
University of Glasgow at CLEF 2013: Experiments in eHealth Task 3 with Terrier. CLEF (Working Notes) 2013 - [c151]Nut Limsopatham, Craig Macdonald, Iadh Ounis:
Aggregating Evidence from Hospital Departments to Improve Medical Records Search. ECIR 2013: 279-291 - [c150]Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda:
Hybrid Query Scheduling for a Replicated Search Engine. ECIR 2013: 435-446 - [c149]Nut Limsopatham, Craig Macdonald, Iadh Ounis:
A Task-Specific Query and Document Representation for Medical Records Search. ECIR 2013: 747-751 - [c148]Sasa Petrovic, Miles Osborne, Richard McCreadie, Craig Macdonald, Iadh Ounis, Luke Shrimpton:
Can Twitter Replace Newswire for Breaking News? ICWSM 2013 - [c147]Edwin Thuma, Simon Rogers, Iadh Ounis:
Exploiting Query Logs and Field-Based Models to Address Term Mismatch in an HIV/AIDS FAQ Retrieval System. NLDB 2013: 77-89 - [c146]Akiko Aizawa, Michael Kohlhase, Iadh Ounis:
NTCIR-10 Math Pilot Task Overview. NTCIR 2013 - [c145]Nut Limsopatham, Craig Macdonald, Iadh Ounis:
Inferring conceptual relationships to improve medical records search. OAIR 2013: 1-8 - [c144]Saul Vargas, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Selecting effective expansion terms for diversity. OAIR 2013: 69-76 - [c143]Edwin Thuma, Simon Rogers, Iadh Ounis:
Evaluating bad query abandonment in an iterative SMS-based FAQ retrieval system. OAIR 2013: 117-120 - [c142]M-Dyaa Albakour, Craig Macdonald, Iadh Ounis:
Identifying local events by using microblogs as social sensors. OAIR 2013: 173-180 - [c141]Richard McCreadie, Craig Macdonald, Iadh Ounis:
News vertical search: when and what to display to users. SIGIR 2013: 253-262 - [c140]Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis:
User model-based metrics for offline query suggestion evaluation. SIGIR 2013: 633-642 - [c139]Nut Limsopatham, Craig Macdonald, Iadh Ounis:
Learning to combine representations for medical records search. SIGIR 2013: 833-836 - [c138]Daniele Broccolo, Craig Macdonald, Salvatore Orlando, Iadh Ounis, Raffaele Perego, Fabrizio Silvestri, Nicola Tonellotto:
Query Processing in Highly-Loaded Search Engines. SPIRE 2013: 49-55 - [c137]Richard McCreadie, M-Dyaa Albakour, Stuart Mackie, Nut Limsopatham, Craig Macdonald, Iadh Ounis, Bekir Taner Dinçer:
University of Glasgow at TREC 2013: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks. TREC 2013 - [c136]Nicola Tonellotto, Craig Macdonald, Iadh Ounis:
Efficient and effective retrieval using selective pruning. WSDM 2013: 63-72 - [i1]Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov, Iadh Ounis:
Intent Models for Contextualising and Diversifying Query Suggestions. CoRR abs/1312.1611 (2013) - 2012
- [j27]Rodrygo L. T. Santos, Craig Macdonald, Richard McCreadie, Iadh Ounis, Ian Soboroff:
Information Retrieval on the Blogosphere. Found. Trends Inf. Retr. 6(1): 1-125 (2012) - [j26]Richard McCreadie, Craig Macdonald, Iadh Ounis:
MapReduce indexing strategies: Studying scalability and efficiency. Inf. Process. Manag. 48(5): 873-888 (2012) - [j25]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
On the role of novelty for search result diversification. Inf. Retr. 15(5): 478-502 (2012) - [j24]Andrew Trotman, Charles L. A. Clarke, Iadh Ounis, J. Shane Culpepper, Marc-Allen Cartright, Shlomo Geva:
Open source information petrieval: a report on the SIGIR 2012 workshop. SIGIR Forum 46(2): 95-101 (2012) - [c135]Richard McCreadie, Craig Macdonald, Iadh Ounis, Jim Giles, Ferris Jabr:
An examination of content farms in web search using crowdsourcing. CIKM 2012: 2551-2554 - [c134]Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis:
On the usefulness of query features for learning to rank. CIKM 2012: 2559-2562 - [c133]Dean McCullough, Jimmy Lin, Craig Macdonald, Iadh Ounis, Richard McCreadie:
Evaluating Real-Time Search over Tweets. ICWSM 2012 - [c132]M-Dyaa Albakour, Craig Macdonald, Iadh Ounis, Aristodemos Pnevmatikakis, John Soldatos:
SMART: An Open Source Framework for Searching the Physical World. OSIR@SIGIR 2012: 48-51 - [c131]Craig Macdonald, Richard McCreadie, Rodrygo L. T. Santos, Iadh Ounis:
From Puppy to Maturity: Experiences in Developing Terrier. OSIR@SIGIR 2012: 60-63 - [c130]Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Learning to predict response times for online query scheduling. SIGIR 2012: 621-630 - [c129]Richard McCreadie, Craig Macdonald, Iadh Ounis:
CrowdTerrier: automatic crowdsourced relevance assessments with terrier. SIGIR 2012: 1005 - [c128]Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
Effect of dynamic pruning safety on learning to rank effectiveness. SIGIR 2012: 1051-1052 - [c127]Nut Limsopatham, Craig Macdonald, Richard McCreadie, Iadh Ounis:
Exploiting term dependence while handling negation in medical search. SIGIR 2012: 1065-1066 - [c126]Richard McCreadie, Ian Soboroff, Jimmy Lin, Craig Macdonald, Iadh Ounis, Dean McCullough:
On building a reusable Twitter corpus. SIGIR 2012: 1113-1114 - [c125]Ana Freire, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, Fidel Cacheda:
Scheduling queries across replicas. SIGIR 2012: 1139-1140 - [c124]Nut Limsopatham, Richard McCreadie, M-Dyaa Albakour, Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis:
University of Glasgow at TREC 2012: Experiments with Terrier in Medical Records, Microblog, and Web Tracks. TREC 2012 - [c123]Ian Soboroff, Iadh Ounis, Craig Macdonald, Jimmy Lin:
Overview of the TREC-2012 Microblog Track. TREC 2012 - [c122]John Soldatos, Moez Draief, Craig Macdonald, Iadh Ounis:
Multimedia search over integrated social and sensor networks. WWW (Companion Volume) 2012: 283-286 - [e3]Andrew Trotman, Charles L. A. Clarke, Iadh Ounis, J. Shane Culpepper, Marc-Allen Cartright, Shlomo Geva:
Proceedings of the SIGIR 2012 Workshop on Open Source Information Retrieval, OSIR@SIGIR 2012, Portland, Oregon, USA, 16th August 2012. University of Otago, Dunedin, New Zealand 2012, ISBN 978-0-473-22025-9 [contents] - 2011
- [j23]Craig Macdonald, Iadh Ounis:
The influence of the document ranking in expert search. Inf. Process. Manag. 47(3): 376-390 (2011) - [j22]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Mimicking Web search engines for expert search. Inf. Process. Manag. 47(4): 467-481 (2011) - [j21]Craig Macdonald, Iadh Ounis, Nicola Tonellotto:
Upper-bound approximations for dynamic pruning. ACM Trans. Inf. Syst. 29(4): 17:1-17:28 (2011) - [c121]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Effectiveness beyond the first crawl tier. CIKM 2011: 1937-1940 - [c120]Craig Macdonald, Iadh Ounis:
Learning Models for Ranking Aggregates. ECIR 2011: 517-529 - [c119]Matt-Mouley Bouamrane, Craig Macdonald, Iadh Ounis, Frances S. Mair:
Protocol-Driven Searches for Medical and Health-Sciences Systematic Reviews. ICTIR 2011: 188-200 - [c118]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Aggregated Search Result Diversification. ICTIR 2011: 250-261 - [c117]Craig Macdonald, Nicola Tonellotto, Iadh Ounis:
On Upper Bounds for Dynamic Pruning. ICTIR 2011: 313-317 - [c116]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
University of Glasgow at the NTCIR-9 Intent task: Experiments with Terrier on Subtopic Mining and Document Ranking. NTCIR 2011 - [c115]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Intent-aware search result diversification. SIGIR 2011: 595-604 - [c114]Nicola Tonellotto, Craig Macdonald, Iadh Ounis:
Effect of different docid orderings on dynamic pruning retrieval strategies. SIGIR 2011: 1179-1180 - [c113]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
On the suitability of diversity metrics for learning-to-rank for diversity. SIGIR 2011: 1185-1186 - [c112]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
How diverse are web search results? SIGIR 2011: 1187-1188 - [c111]Nut Limsopatham, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Disambiguating biomedical acronyms using EMIM. SIGIR 2011: 1213-1214 - [c110]Richard McCreadie, Craig Macdonald, Iadh Ounis:
A Learned Approach for Ranking News in Real-Time Using the Blogosphere. SPIRE 2011: 104-116 - [c109]Veronica Gil-Costa, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Sparse Spatial Selection for Novelty-Based Search Result Diversification. SPIRE 2011: 344-355 - [c108]Nut Limsopatham, Craig Macdonald, Iadh Ounis, Graham McDonald, Matt-Mouley Bouamrane:
University of Glasgow at Medical Records Track: Experiments with Terrier. TREC 2011 - [c107]Richard McCreadie, Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis:
University of Glasgow at TREC 2011: Experiments with Terrier in Crowdsourcing, Microblog, and Web Tracks. TREC 2011 - [c106]Iadh Ounis, Craig Macdonald, Jimmy Lin, Ian Soboroff:
Overview of the TREC 2011 Microblog Track. TREC 2011 - [e2]Craig Macdonald, Iadh Ounis, Ian Ruthven:
Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011. ACM 2011, ISBN 978-1-4503-0717-8 [contents] - 2010
- [j20]Alasdair J. G. Gray, Norman Gray, Christopher W. Hall, Iadh Ounis:
Finding the right term: Retrieving and exploring semantic concepts in astronomical vocabularies. Inf. Process. Manag. 46(4): 470-478 (2010) - [j19]Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis, Ian Soboroff:
Blog track research at TREC. SIGIR Forum 44(1): 58-75 (2010) - [c105]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Selectively diversifying web search results. CIKM 2010: 1179-1188 - [c104]Rodrygo L. T. Santos, Jie Peng, Craig Macdonald, Iadh Ounis:
Explicit Search Result Diversification through Sub-queries. ECIR 2010: 87-99 - [c103]Jie Peng, Craig Macdonald, Iadh Ounis:
Learning to Select a Ranking Function. ECIR 2010: 114-126 - [c102]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Voting for related entities. RIAO 2010: 1-8 - [c101]Richard McCreadie, Craig Macdonald, Iadh Ounis:
News article ranking: leveraging the wisdom of bloggers. RIAO 2010: 40-48 - [c100]Stuart Chalmers, Norman Gray, Iadh Ounis, Alasdair J. G. Gray:
Collaborative Editing and Linking of Astronomy Vocabularies Using Semantic Mediawiki. SemWiki@ESWC 2010 - [c99]Nicola Tonellotto, Craig Macdonald, Iadh Ounis:
Efficient Dynamic Pruning with Proximity Support. LSDS-IR@SIGIR 2010: 31-35 - [c98]Iadh Ounis, Ian Soboroff:
Overview of the TREC 2010 Blog Track. TREC 2010 - [c97]Rodrygo L. T. Santos, Richard McCreadie, Craig Macdonald, Iadh Ounis:
University of Glasgow at TREC 2010: Experiments with Terrier in Blog and Web Tracks. TREC 2010 - [c96]Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis:
Exploiting query reformulations for web search result diversification. WWW 2010: 881-890
2000 – 2009
- 2009
- [j18]Craig Macdonald, Iadh Ounis:
Searching for Expertise: Experiments with the Voting Model. Comput. J. 52(7): 729-748 (2009) - [c95]Craig Macdonald, Iadh Ounis:
The influence of the document ranking in expert search. CIKM 2009: 1983-1986 - [c94]Jie Peng, Craig Macdonald, Ben He, Iadh Ounis:
A study of selective collection enrichment for enterprise search. CIKM 2009: 1999-2002 - [c93]Ben He, Iadh Ounis:
Finding good feedback documents. CIKM 2009: 2011-2014 - [c92]Rodrygo L. T. Santos, Ben He, Craig Macdonald, Iadh Ounis:
Integrating Proximity to Subjective Sentences for Blog Opinion Retrieval. ECIR 2009: 325-336 - [c91]Jie Peng, Iadh Ounis:
Selective Application of Query-Independent Features in Web Information Retrieval. ECIR 2009: 375-387 - [c90]Ben He, Iadh Ounis:
Studying Query Expansion Effectiveness. ECIR 2009: 611-619 - [c89]Alasdair J. G. Gray, Norman Gray, Iadh Ounis:
Can RDB2RDF Tools Feasibily Expose Large Science Archives for Data Integration?. ESWC 2009: 491-505 - [c88]Azreen Azman, Iadh Ounis:
Browsing Recommendation Based on the Intertemporal Choice Model. FQAS 2009: 215-226 - [c87]Jie Peng, Ben He, Iadh Ounis:
Predicting the Usefulness of Collection Enrichment for Enterprise Search. ICTIR 2009: 366-370 - [c86]Ben He, Jie Peng, Iadh Ounis:
Fitting score distribution for blog opinion retrieval. SIGIR 2009: 688-689 - [c85]Craig Macdonald, Iadh Ounis, Ian Soboroff:
Is spam an issue for opinionated blog post search? SIGIR 2009: 710-711 - [c84]Craig Macdonald, Iadh Ounis:
On perfect document rankings for expert search. SIGIR 2009: 740-741 - [c83]Richard McCreadie, Craig Macdonald, Iadh Ounis:
On single-pass indexing with MapReduce. SIGIR 2009: 742-743 - [c82]Richard McCreadie, Craig Macdonald, Iadh Ounis:
Comparing Distributed Indexing: To MapReduce or Not? LSDS-IR@SIGIR 2009 - [c81]Craig Macdonald, Iadh Ounis, Ian Soboroff:
Overview of the TREC 2009 Blog Track. TREC 2009 - [c80]Richard McCreadie, Craig Macdonald, Iadh Ounis, Jie Peng, Rodrygo L. T. Santos:
University of Glasgow at TREC 2009: Experiments with Terrier. TREC 2009 - [c79]Craig Macdonald, Iadh Ounis:
Usefulness of quality click-through data for training. WSCD@WSDM 2009: 75-79 - [r2]Iadh Ounis:
Inverse Document Frequency. Encyclopedia of Database Systems 2009: 1570-1571 - [r1]Craig Macdonald, Iadh Ounis:
WEB Information Retrieval Models. Encyclopedia of Database Systems 2009: 3479-3482 - 2008
- [j17]Christina Lioma, Iadh Ounis:
A syntactically-based query reformulation technique for information retrieval. Inf. Process. Manag. 44(1): 143-162 (2008) - [j16]Craig Macdonald, Iadh Ounis:
Voting techniques for expert search. Knowl. Inf. Syst. 16(3): 259-280 (2008) - [j15]Iadh Ounis, Ian Ruthven, Vassilis Plachouras:
30th European Conference in Information Retrieval (ECIR 2008). SIGIR Forum 42(1): 44-46 (2008) - [c78]Alasdair J. G. Gray, Norman Gray, Iadh Ounis:
Finding Data Resources in a Virtual Observatory Using SKOS Vocabularies. BNCOD 2008: 189-192 - [c77]Craig Macdonald, Iadh Ounis:
Key blog distillation: ranking aggregates. CIKM 2008: 1043-1052 - [c76]Ben He, Craig Macdonald, Jiyin He, Iadh Ounis:
An effective statistical approach to blog post opinion retrieval. CIKM 2008: 1063-1072 - [c75]Craig Macdonald, David Hannah, Iadh Ounis:
High Quality Expertise Evidence for Expert Search. ECIR 2008: 283-295 - [c74]Craig Macdonald, Iadh Ounis:
Expert Search Evaluation by Supporting Documents. ECIR 2008: 555-563 - [c73]David Hannah, Craig Macdonald, Iadh Ounis:
Analysis of Link Graph Compression Techniques. ECIR 2008: 596-601 - [c72]Iadh Ounis, Craig Macdonald, Ian Soboroff:
On the TREC Blog Track. ICWSM 2008 - [c71]Ben He, Craig Macdonald, Iadh Ounis:
Retrieval sensitivity under training using different measures. SIGIR 2008: 67-74 - [c70]Ben He, Craig Macdonald, Iadh Ounis:
Ranking opinionated blog posts using OpinionFinder. SIGIR 2008: 727-728 - [c69]Craig Macdonald, Ben He, Iadh Ounis, Ian Soboroff:
Limits of opinion-finding baseline systems. SIGIR 2008: 747-748 - [c68]Jie Peng, Craig Macdonald, Iadh Ounis:
Automatic document prior feature selection for web retrieval. SIGIR 2008: 761-762 - [c67]Ben He, Craig Macdonald, Iadh Ounis, Jie Peng, Rodrygo L. T. Santos:
University of Glasgow at TREC 2008: Experiments in Blog, Enterprise, and Relevance Feedback Tracks with Terrier. TREC 2008 - [c66]Iadh Ounis, Craig MacDonald, Ian Soboroff:
Overview of the TREC 2008 Blog Track. TREC 2008 - [e1]Craig Macdonald, Iadh Ounis, Vassilis Plachouras, Ian Ruthven, Ryen W. White:
Advances in Information Retrieval , 30th European Conference on IR Research, ECIR 2008, Glasgow, UK, March 30-April 3, 2008. Proceedings. Lecture Notes in Computer Science 4956, Springer 2008, ISBN 978-3-540-78645-0 [contents] - 2007
- [j14]Fidel Cacheda, Victor Carneiro, Vassilis Plachouras, Iadh Ounis:
Performance analysis of distributed information retrieval architectures using an improved network simulation model. Inf. Process. Manag. 43(1): 204-224 (2007) - [j13]Ben He, Iadh Ounis:
Combining fields for query expansion and adaptive query expansion. Inf. Process. Manag. 43(5): 1294-1307 (2007) - [j12]Iadh Ounis, Keith van Rijsbergen, Pit Pichappan:
Web Information Retrieval. J. Digit. Inf. Manag. 5(5): 247-248 (2007) - [j11]Ben He, Iadh Ounis:
On setting the hyper-parameters of term frequency normalization for information retrieval. ACM Trans. Inf. Syst. 25(3): 13 (2007) - [c65]Ben He, Iadh Ounis:
Parameter sensitivity in the probabilistic model for ad-hoc retrieval. CIKM 2007: 263-272 - [c64]Craig Macdonald, Iadh Ounis:
Expertise drift and query expansion in expert search. CIKM 2007: 341-350 - [c63]Vassilis Plachouras, Iadh Ounis:
Multinomial Randomness Models for Retrieval with Document Fields. ECIR 2007: 28-39 - [c62]Christina Lioma, Iadh Ounis:
Light Syntactically-Based Index Pruning for Information Retrieval. ECIR 2007: 88-100 - [c61]Fidel Cacheda, Victor Carneiro, Vassilis Plachouras, Iadh Ounis:
Performance Comparison of Clustered and Replicated Information Retrieval Systems. ECIR 2007: 124-135 - [c60]Craig Macdonald, Iadh Ounis:
Using Relevance Feedback in Expert Search. ECIR 2007: 431-443 - [c59]Ben He, Iadh Ounis:
Setting Per-field Normalisation Hyper-parameters for the Named-Page Finding Search Task. ECIR 2007: 468-480 - [c58]Jie Peng, Iadh Ounis:
Combination of Document Priors in Web Information Retrieval. ECIR 2007: 732-736 - [c57]Jie Peng, Craig Macdonald, Ben He, Iadh Ounis:
Combination of Document Priors in Web Information Retrieval. RIAO 2007: 596-611 - [c56]Jie Peng, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis:
Incorporating term dependency in the dfr framework. SIGIR 2007: 843-844 - [c55]Christina Lioma, Iadh Ounis:
Extending Weighting Models with a Term Quality Measure. SPIRE 2007: 205-216 - [c54]David Hannah, Craig Macdonald, Jie Peng, Ben He, Iadh Ounis:
University of Glasgow at TREC 2007: Experiments in Blog and Enterprise Tracks with Terrier. TREC 2007 - [c53]Craig Macdonald, Iadh Ounis, Ian Soboroff:
Overview of the TREC 2007 Blog Track. TREC 2007 - 2006
- [j10]Youjin Chang, Iadh Ounis, Minkoo Kim:
Query reformulation using automatically generated query concepts from a document space. Inf. Process. Manag. 42(2): 453-468 (2006) - [j9]Vassilis Plachouras, Fidel Cacheda, Iadh Ounis:
A decision mechanism for the selective combination of evidence in topic distillation. Inf. Retr. 9(2): 139-163 (2006) - [j8]Ben He, Iadh Ounis:
Query performance prediction. Inf. Syst. 31(7): 585-594 (2006) - [c52]Christina Lioma, Iadh Ounis:
Examining the Content Load of Part of Speech Blocks for Information Retrieval. ACL 2006 - [c51]Craig Macdonald, Iadh Ounis:
Voting for candidates: adapting data fusion techniques for an expert search task. CIKM 2006: 387-396 - [c50]Craig Macdonald, Iadh Ounis:
Combining fields in known-item email search. SIGIR 2006: 675-676 - [c49]Craig Macdonald, Iadh Ounis:
Searching for expertise using the terrier platform. SIGIR 2006: 732 - [c48]Christina Lioma, Craig Macdonald, Vassilis Plachouras, Jie Peng, Ben He, Iadh Ounis:
University of Glasgow at TREC 2006: Experiments in Terabyte and Enterprise Tracks with Terrier. TREC 2006 - [c47]Iadh Ounis, Craig Macdonald, Maarten de Rijke, Gilad Mishne, Ian Soboroff:
Overview of the TREC 2006 Blog Track. TREC 2006 - 2005
- [j7]Fidel Cacheda, Vassilis Plachouras, Iadh Ounis:
A case study of distributed information retrieval architectures to index one terabyte of text. Inf. Process. Manag. 41(5): 1141-1161 (2005) - [j6]Vassilis Plachouras, Iadh Ounis:
Dempster-Shafer Theory for a Query-Biased Combination of Evidence on the Web. Inf. Retr. 8(2): 197-218 (2005) - [j5]Rachel Tsz-Wai Lo, Ben He, Iadh Ounis:
Automatically Building a Stopword List for an Information Retrieval System. J. Digit. Inf. Manag. 3(1): 3-8 (2005) - [j4]Vassilis Plachouras, Iadh Ounis, Gianni Amati:
The Static Absorbing Model for the Web. J. Web Eng. 4(2): 165-186 (2005) - [j3]Sándor Dominich, Iadh Ounis, Jian-Yun Nie:
ACM SIGIR workshop on mathematical/formal methods in information retrieval MF/IR 2005. SIGIR Forum 39(2): 29-30 (2005) - [c46]Christina Lioma, Iadh Ounis:
Deploying Part-of-Speech Patterns to Enhance Statistical Phrase-Based Machine Translation Resources. ParallelText@ACL 2005: 163-166 - [c45]Christina Lioma, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis:
Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval. CLEF 2005: 170-178 - [c44]Christina Lioma, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis:
Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval. CLEF (Working Notes) 2005 - [c43]Craig Macdonald, Vassilis Plachouras, Ben He, Christina Lioma, Iadh Ounis:
University of Glasgow at WebCLEF 2005: Experiments in Per-Field Normalisation and Language Specific Stemming. CLEF 2005: 898-907 - [c42]Craig Macdonald, Vassilis Plachouras, Ben He, Christina Lioma, Iadh Ounis:
University of Glasgow at WebCLEF 2005: Experiments in per-field Normalisation and Language Specific Stemming. CLEF (Working Notes) 2005 - [c41]Ben He, Iadh Ounis:
Term Frequency Normalisation Tuning for BM25 and DFR Models. ECIR 2005: 200-214 - [c40]Iadh Ounis, Gianni Amati, Vassilis Plachouras, Ben He, Craig Macdonald, Douglas Johnson:
Terrier Information Retrieval Platform. ECIR 2005: 517-519 - [c39]Fidel Cacheda, Victor Carneiro, Vassilis Plachouras, Iadh Ounis:
Network Analysis for Distributed Information Retrieval Architectures. ECIR 2005: 527-529 - [c38]Ben He, Iadh Ounis:
A study of the dirichlet priors for term frequency normalisation. SIGIR 2005: 465-471 - [c37]Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis:
University of Glasgow at TREC 2005: Experiments in Terabyte and Enterprise Tracks with Terrier. TREC 2005 - 2004
- [c36]Helen C. Purchase, Christopher Mitchell, Iadh Ounis:
Gauging Students' Understanding Through Interactive Lectures. BNCOD 2004: 234-243 - [c35]Christina Lioma, Ben He, Vassilis Plachouras, Iadh Ounis:
The University of Glasgow at CLEF 2004: French Monolingual Information Retrieval with Terrier. CLEF (Working Notes) 2004 - [c34]Christina Lioma, Ben He, Vassilis Plachouras, Iadh Ounis:
The University of Glasgow at CLEF 2004: French Monolingual Information Retrieval with Terrier. CLEF 2004: 253-259 - [c33]Fidel Cacheda, Vassilis Plachouras, Iadh Ounis:
Performance Analysis of Distributed Architectures to Index One Terabyte of Text. ECIR 2004: 394-408 - [c32]Youjin Chang, Minkoo Kim, Iadh Ounis:
Construction of Query Concepts in a Document Space Based on Data Mining Techniques. FQAS 2004: 137-149 - [c31]Vassilis Plachouras, Iadh Ounis, Fidel Cacheda:
Selective Combination of Evidence for Topic Distillation using Document and Aggregate-level Information. RIAO 2004: 610-622 - [c30]Ben He, Iadh Ounis:
A Query-based Pre-retrieval Model Selection Approach to Information Retrieval. RIAO 2004: 706-719 - [c29]Vassilis Plachouras, Iadh Ounis:
Usefulness of hyperlink structure for query-biased topic distillation. SIGIR 2004: 448-455 - [c28]Azreen Azman, Iadh Ounis:
Discovery of aggregate usage profiles based on clustering information needs. SIGIR 2004: 470-471 - [c27]Ben He, Iadh Ounis:
Inferring Query Performance Using Pre-retrieval Predictors.. SPIRE 2004: 43-54 - [c26]Vassilis Plachouras, Ben He, Iadh Ounis:
University of Glasgow at TREC 2004: Experiments in Web, Robust, and Terabyte Tracks with Terrier. TREC 2004 - [c25]Vassilis Plachouras, Iadh Ounis:
Distribution of relevant documents in domain-level aggregates for topic distillation. WWW (Alternate Track Papers & Posters) 2004: 372-373 - 2003
- [j2]Ying Ding, Cornelis Joost van Rijsbergen, Iadh Ounis, Joemon M. Jose:
Report on ACM SIGIR workshop on "semantic web" SWIR 2003. SIGIR Forum 37(2): 45-49 (2003) - [c24]Ben He, Iadh Ounis:
A study of parameter tuning for term frequency normalization. CIKM 2003: 10-16 - [c23]Jean Martinet, Iadh Ounis, Yves Chiaramella, Philippe Mulhem:
A Weighting Scheme for Star-Graphs. ECIR 2003: 546-554 - [c22]Vassilis Plachouras, Iadh Ounis:
Information Theoretic Query Context Detection for Web Information Retrieval. ICWI 2003: 977-980 - [c21]Vassilis Plachouras, Iadh Ounis, Gianni Amati:
A Utility-Oriented Hyperlink Analysis Model for the Web. LA-WEB 2003: 123-131 - [c20]Ben He, Iadh Ounis:
University of Glasgow at the Robust Track- A Query-based Model Selection Approach for the Poorly-Performing Queries. TREC 2003: 636-645 - [c19]Vassilis Plachouras, Iadh Ounis, Cornelis Joost van Rijsbergen, Fidel Cacheda:
University of Glasgow at the Web Track: Dynamic Application of Hyperlink Analysis using the Query Scope. TREC 2003: 646-652 - 2002
- [c18]Craig J. A. McEwan, Iadh Ounis, Ian Ruthven:
Building Bilingual Dictionaries from Parallel Web Documents. ECIR 2002: 303-323 - [c17]Richard Osdin, Iadh Ounis, Ryen W. White:
Using Hierarchical Clustering and Summarisation Approaches for Web Retrieval: Glasgow at the TREC 2002 Interactive Track. TREC 2002 - [c16]Vassilis Plachouras, Iadh Ounis, Gianni Amati, C. J. van Rijsbergen:
University of Glasgow at the Web Track of TREC 2002. TREC 2002 - 2001
- [c15]Paul McLellan, Anastasios Tombros, Joemon M. Jose, Iadh Ounis, Miles Whitehead:
Evaluating Summarisation Technologies: A Task Oriented Approach. NDDL 2001: 99-112 - 2000
- [j1]Gianni Amati, Iadh Ounis:
Conceptual Graphs and First Order Logic. Comput. J. 43(1): 1-12 (2000) - [c14]Iadh Ounis:
Toward a User-Centered Image Retrieval System. DEXA 2000: 51-64 - [c13]Iadh Ounis:
Ranking digital images using combination if evidences. SIGIR 2000: 348-350
1990 – 1999
- 1999
- [c12]Iadh Ounis:
A Flexible Weighting Scheme for Multimedia Documents. DEXA 1999: 392-405 - 1998
- [b1]Iadh Ounis:
Un modèle d'indexation relationnel pour les graphes conceptuels fondé sur une interprétation logique. (A logical relational indexing model for conceptual graphs). Joseph Fourier University, Grenoble, France, 1998 - [c11]Iadh Ounis, Marius Pasca:
Modeling, Indexing and Retrieving Images Using Conceptual Graphs. DEXA 1998: 226-239 - [c10]Iadh Ounis, Marius Pasca:
Effective and Efficient Relational Query Processing Using Conceptual Graphs. BCS-IRSG Annual Colloquium on IR Research 1998 - [c9]Iadh Ounis:
Organizing conceptual graphs for fast knowledge retrieval. ICTAI 1998: 120-129 - [c8]Iadh Ounis, Marius Pasca:
A Promising Retrieval Algorithm for Systems Based on the Conceptual Graphs Formalism. IDEAS 1998: 121-130 - [c7]Iadh Ounis, Marius Pasca:
RELIEF: Combining Expressiveness and Rapidity into a Single System. SIGIR 1998: 266-274 - [c6]Yves Chiaramella, Philippe Mulhem, Mourad Mechkour, Iadh Ounis, Marius Pasca:
Towards a Fast Precision-Oriented Image Retrieval System. SIGIR 1998: 383-384 - 1997
- [c5]Iadh Ounis, Theo W. C. Huibers:
A Logical Relational Approach for Information Retrieval Indexing. BCS-IRSG Annual Colloquium on IR Research 1997 - [c4]Iadh Ounis, Marius Pasca:
An Extended Inverted File Approach for Information Retrieval. IDEAS 1997: 397-402 - 1996
- [c3]Iadh Ounis, Jean-Pierre Chevallet:
Using Conceptual Graphs in a Multifaceted Logical Model for Information Retrieval. DEXA 1996: 812-823 - [c2]Theo W. C. Huibers, Iadh Ounis, Jean-Pierre Chevallet:
Conceptual Graph Aboutness. ICCS 1996: 130-144 - 1995
- [c1]Iadh Ounis:
Une dénotation pour les graphes conceptuels: comparaison avec les logiques terminologiques en recherche d'informations. INFORSID 1995
Coauthor Index
Craig Macdonald
aka: Craig MacDonald
aka: Craig MacDonald
[j62] [j61] [j60] [j59] [c295] [c294] [e10] [e9] [e8] [e7] [e6] [e5] [j56] [j55] [c287] [c285] [c282] [c281] [c279] [i26] [i24] [i23] [i22] [j54] [j53] [j52] [j51] [c275] [c274] [c273] [c272] [c271] [c270] [c268] [c267] [c266] [c265] [c263] [c262] [p1] [i21] [i20] [i19] [j50] [j49] [c261] [c259] [c258] [c257] [c256] [c255] [i18] [i17] [i16] [i15] [i14] [i13] [i11] [j48] [j47] [j46] [j44] [c254] [c253] [c252] [c251] [c250] [c249] [c248] [c247] [c244] [c243] [i10] [i9] [i8] [j43] [j42] [c242] [c241] [c240] [c239] [c238] [c237] [c236] [c235] [c233] [c232] [i7] [i6] [j40] [j39] [j38] [j37] [c231] [c230] [c229] [c228] [c227] [c226] [c225] [c224] [c223] [r4] [j36] [c222] [c221] [c220] [c219] [c218] [c217] [c216] [c215] [c214] [c213] [c212] [i5] [c211] [c210] [c209] [c208] [c207] [c205] [c204] [c203] [c202] [c201] [c200] [i4] [i3] [i2] [j35] [j34] [c199] [c198] [c197] [c196] [c195] [c194] [c193] [c192] [c191] [c190] [c189] [c188] [c187] [c186] [c185] [c184] [c183] [c182] [c181] [e4] [j33] [c180] [c179] [c178] [c177] [c176] [c175] [c174] [c173] [c171] [c169] [c168] [c167] [c166] [c165] [c163] [c162] [c161] [c160] [j32] [j31] [j30] [j29] [j28] [c159] [c158] [c157] [c156] [c155] [c154] [c153] [c152] [c151] [c150] [c149] [c148] [c145] [c144] [c142] [c141] [c140] [c139] [c138] [c137] [c136] [i1] [j27] [j26] [j25] [c135] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [j23] [j22] [j21] [c121] [c120] [c119] [c118] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [e2] [j19] [c105] [c104] [c103] [c102] [c101] [c99] [c97] [c96] [j18] [c95] [c94] [c92] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [r1] [j16] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [e1] [c64] [c60] [c57] [c56] [c54] [c53] [c51] [c50] [c49] [c48] [c47] [c45] [c44] [c43] [c42] [c40] [c37]
[i23] [p1] [j50] [j45] [c251] [c250] [i9] [j42] [c234] [i6] [j38] [j37] [c229] [c228] [c225] [c223] [c222] [c221] [c209] [c207] [c204] [c201] [i2] [c190] [c185] [c183] [c182] [c181] [c180] [c179] [c175] [c174] [c173] [c166] [c161] [j32] [c159] [c148] [c141] [c137] [j27] [j26] [c135] [c133] [c131] [c129] [c127] [c126] [c124] [c110] [c107] [c101] [c97] [c83] [c82] [c80]
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