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Barry Smyth
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- affiliation: University College Dublin, Insight Centre for Data Analytics, Ireland
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2020 – today
- 2024
- [c318]Neil Hurley, Erika Duriakova, James Geraci, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Aonghus Lawlor:
ALS Algorithm for Robust and Communication-Efficient Federated Learning. EuroMLSys@EuroSys 2024: 56-64 - [c317]Diarmuid O'Reilly-Morgan, Elias Z. Tragos, James Geraci, Qinqin Wang, Neil Hurley, Barry Smyth, Aonghus Lawlor:
A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy. EuroMLSys@EuroSys 2024: 161-168 - [c316]Rian Dolphin, Barry Smyth, Ruihai Dong:
Contrastive Learning of Asset Embeddings from Financial Time Series. ICAIF 2024: 379-387 - [c315]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
A Case-Based Reasoning Approach to Post-injury Training Recommendations for Marathon Runners. ICCBR 2024: 338-353 - [c314]Heleen Muijlwijk, Martijn C. Willemsen, Barry Smyth, Wijnand A. IJsselsteijn:
Benefits of Human-AI Interaction for Expert Users Interacting with Prediction Models: a Study on Marathon Running. IUI 2024: 245-258 - [c313]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Recommending Personalised Targeted Training Adjustments for Marathon Runners. RecSys 2024: 1051-1056 - [c312]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Using Pseudo Cases and Stratified Case-Based Reasoning to Generate and Evaluate Training Adjustments for Marathon Runners. SGAI Conf. (2) 2024: 88-101 - [i22]Rian Dolphin, Barry Smyth, Ruihai Dong:
Contrastive Learning of Asset Embeddings from Financial Time Series. CoRR abs/2407.18645 (2024) - [i21]Padraig Cunningham, Barry Smyth:
An Analysis of the Impact of Gold Open Access Publications in Computer Science. CoRR abs/2408.10262 (2024) - 2023
- [j69]Nina Hagemann, Michael P. O'Mahony, Barry Smyth:
Visual Module Exploration: A Live-User Evaluation. Künstliche Intell. 37(2): 213-225 (2023) - [c311]Edoardo D'Amico, Khalil Muhammad, Elias Z. Tragos, Barry Smyth, Neil Hurley, Aonghus Lawlor:
Item Graph Convolution Collaborative Filtering for Inductive Recommendations. ECIR (1) 2023: 249-263 - [c310]Rian Dolphin, Barry Smyth, Ruihai Dong:
A Case-Based Reasoning Approach to Company Sector Classification Using a Novel Time-Series Case Representation. ICCBR 2023: 375-390 - [c309]Elias Z. Tragos, Diarmuid O'Reilly-Morgan, James Geraci, Bichen Shi, Barry Smyth, Cailbhe Doherty, Aonghus Lawlor, Neil Hurley:
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework. IJCAI 2023: 6237-6245 - [c308]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations. UMAP 2023: 183-193 - [i20]Edoardo D'Amico, Khalil Muhammad, Elias Z. Tragos, Barry Smyth, Neil Hurley, Aonghus Lawlor:
Item Graph Convolution Collaborative Filtering for Inductive Recommendations. CoRR abs/2303.15946 (2023) - [i19]Rian Dolphin, Barry Smyth, Ruihai Dong:
Industry Classification Using a Novel Financial Time-Series Case Representation. CoRR abs/2305.00245 (2023) - [i18]Eoghan Cunningham, Derek Greene, Barry Smyth:
The Role of Document Embedding in Research Paper Recommender Systems: To Breakdown or to Bolster Disciplinary Borders? CoRR abs/2309.14984 (2023) - 2022
- [j68]Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong:
Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems. IEEE Access 10: 71961-71972 (2022) - [j67]Eoghan Cunningham, Barry Smyth, Derek Greene:
Author multidisciplinarity and disciplinary roles in field of study networks. Appl. Netw. Sci. 7(1): 78 (2022) - [j66]Barry Smyth, Aonghus Lawlor, Jakim Berndsen, Ciara Feely:
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners. User Model. User Adapt. Interact. 32(5): 787-838 (2022) - [c307]Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. AAAI 2022: 11604-11612 - [c306]Rian Dolphin, Barry Smyth, Ruihai Dong:
A Machine Learning Approach to Industry Classification in Financial Markets. AICS 2022: 81-94 - [c305]Barry Smyth, Mark T. Keane:
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. ICCBR 2022: 18-32 - [c304]William Blanzeisky, Barry Smyth, Pádraig Cunningham:
Algorithmic Bias and Fairness in Case-Based Reasoning. ICCBR 2022: 48-62 - [c303]Greta Warren, Barry Smyth, Mark T. Keane:
"Better" Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI). ICCBR 2022: 63-78 - [c302]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
An Extended Case-Based Approach to Race-Time Prediction for Recreational Marathon Runners. ICCBR 2022: 335-349 - [c301]Qinqin Wang, Khalil Muhammad, Diarmuid O'Reilly-Morgan, Barry Smyth, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley, Ruihai Dong:
MARF: User-Item Mutual Aware Representation with Feedback. ICWE 2022: 3-15 - [c300]Qinqin Wang, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong:
Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation. UMAP 2022: 79-88 - [i17]Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. CoRR abs/2201.01770 (2022) - [i16]Rian Dolphin, Barry Smyth, Ruihai Dong:
Stock Embeddings: Learning Distributed Representations for Financial Assets. CoRR abs/2202.08968 (2022) - [i15]Eoghan Cunningham, Barry Smyth, Derek Greene:
Author Multidisciplinarity and Disciplinary Roles in Field of Study Networks. CoRR abs/2203.12504 (2022) - 2021
- [j65]Bichen Shi, Elias Z. Tragos, Makbule Gulcin Ozsoy, Ruihai Dong, Neil Hurley, Barry Smyth, Aonghus Lawlor:
DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning. IEEE Access 9: 83340-83354 (2021) - [j64]Barry Smyth:
Estimating the Fatality Burden of SARS-CoV2. Digit. Gov. Res. Pract. 2(2): 21:1-21:8 (2021) - [j63]Barry Smyth:
Estimating Exposure Risk to Guide Behaviour During the SARS-COV2 Pandemic. Frontiers Digit. Health 3: 655745 (2021) - [j62]Mansura A. Khan, Barry Smyth, David Coyle:
Addressing the complexity of personalized, context-aware and health-aware food recommendations: an ensemble topic modelling based approach. J. Intell. Inf. Syst. 57(2): 229-269 (2021) - [c299]Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong:
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. ACL/IJCNLP (1) 2021: 306-316 - [c298]Erika Duriakova, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, Neil Hurley:
Boosting the Training Time of Weakly Coordinated Distributed Machine Learning. IEEE BigData 2021: 1023-1029 - [c297]Eoghan Cunningham, Barry Smyth, Derek Greene:
Navigating Multidisciplinary Research Using Field of Study Networks. COMPLEX NETWORKS 2021: 104-115 - [c296]Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong:
Measuring Financial Time Series Similarity with a View to Identifying Profitable Stock Market Opportunities. ICCBR 2021: 64-78 - [c295]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries. ICCBR 2021: 79-93 - [c294]Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane:
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. ICCBR 2021: 216-231 - [c293]Gechuan Zhang, Dairui Liu, Barry Smyth, Ruihai Dong:
Deciphering Ancient Chinese Oracle Bone Inscriptions Using Case-Based Reasoning. ICCBR 2021: 309-324 - [c292]Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth:
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. IJCAI 2021: 4466-4474 - [c291]Nina Hagemann, Michael P. O'Mahony, Barry Smyth:
A Live-User Evaluation of a Visual Module Recommender and Advisory System for Undergraduate Students. SGAI Conf. 2021: 299-312 - [i14]Barry Smyth, Mark T. Keane:
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations. CoRR abs/2101.09056 (2021) - [i13]Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth:
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. CoRR abs/2103.01035 (2021) - [i12]Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane:
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future. CoRR abs/2104.04008 (2021) - [i11]Mark T. Keane, Eoin M. Kenny, Mohammed Temraz, Derek Greene, Barry Smyth:
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation. CoRR abs/2104.14461 (2021) - [i10]Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong:
Fact Check: Analyzing Financial Events from Multilingual News Sources. CoRR abs/2106.15221 (2021) - [i9]Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong:
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. CoRR abs/2106.15231 (2021) - [i8]Rian Dolphin, Barry Smyth, Yang Xu, Ruihai Dong:
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities. CoRR abs/2107.03926 (2021) - [i7]Eoghan Cunningham, Barry Smyth, Derek Greene:
Collaboration in the Time of COVID: A Scientometric Analysis of Multidisciplinary SARS-CoV-2 Research. CoRR abs/2108.13370 (2021) - [i6]Mansura A. Khan, Khalil Muhammad, Barry Smyth, David Coyle:
Investigating Health-Aware Smart-Nudging with Machine Learning to Help People Pursue Healthier Eating-Habits. CoRR abs/2110.07045 (2021) - 2020
- [j61]Makbule Gulcin Ozsoy, Diarmuid O'Reilly-Morgan, Panagiotis Symeonidis, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor:
MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks. IEEE Access 8: 181835-181847 (2020) - [j60]Barry Smyth:
Lockdowns & Rebounds: A Data Analysis of What Happens Next. Digit. Gov. Res. Pract. 1(4): 27:1-27:7 (2020) - [c290]Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong:
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. CIKM 2020: 3063-3070 - [c289]Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong:
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. COLING 2020: 6150-6160 - [c288]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Using Case-Based Reasoning to Predict Marathon Performance and Recommend Tailored Training Plans. ICCBR 2020: 67-81 - [c287]Barry Smyth, Martijn C. Willemsen:
Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning. ICCBR 2020: 112-126 - [c286]Mark T. Keane, Barry Smyth:
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). ICCBR 2020: 163-178 - [c285]Jakim Berndsen, Barry Smyth, Aonghus Lawlor:
A Collaborative Filtering Approach to Successfully Completing The Marathon. ICMLA 2020: 653-658 - [c284]Khalil Muhammad, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Neil Hurley, James Geraci, Aonghus Lawlor:
FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. KDD 2020: 1234-1242 - [c283]Jakim Berndsen, Barry Smyth, Aonghus Lawlor:
Mining Marathon Training Data to Generate Useful User Profiles. MLSA@PKDD/ECML 2020: 113-125 - [c282]Erika Duriakova, Weipéng Huáng, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, James Geraci, Neil Hurley:
An Algorithmic Framework for Decentralised Matrix Factorisation. ECML/PKDD (2) 2020: 307-323 - [c281]Francisco J. Peña, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor:
Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. RecSys 2020: 438-443 - [c280]Jakim Berndsen, Barry Smyth, Aonghus Lawlor:
Fit to Run: Personalised Recommendations for Marathon Training. RecSys 2020: 480-485 - [c279]Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners. RecSys 2020: 539-544 - [c278]Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong:
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. WWW 2020: 441-451 - [i5]Mark T. Keane, Barry Smyth:
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI). CoRR abs/2005.13997 (2020) - [i4]Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong:
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. CoRR abs/2010.12512 (2020)
2010 – 2019
- 2019
- [c277]Barry Smyth:
Recommender Systems: A Healthy Obsession. AAAI 2019: 9790-9794 - [c276]Joeran Beel, Barry Smyth, Andrew Collins:
RARD II: The 94 Million Related-Article Recommendation Dataset. AMIR@ECIR 2019: 39-55 - [c275]Barry Smyth:
A Tale of Two Communities: An Analysis of Three Decades of Case-Based Reasoning Research. ICCBR 2019: 343-357 - [c274]Cathal McConnell, Barry Smyth:
Going Further with Cases: Using Case-Based Reasoning to Recommend Pacing Strategies for Ultra-Marathon Runners. ICCBR 2019: 358-372 - [c273]Nina Hagemann, Michael P. O'Mahony, Barry Smyth:
Visualising module dependencies in academic recommendations. IUI Companion 2019: 77-78 - [c272]Mansura A. Khan, Ellen Rushe, Barry Smyth, David Coyle:
Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach. HealthRecSys@RecSys 2019: 4-10 - [c271]Jakim Berndsen, Barry Smyth, Aonghus Lawlor:
Pace my race: recommendations for marathon running. RecSys 2019: 246-250 - [c270]Erika Duriakova, Elias Z. Tragos, Barry Smyth, Neil Hurley, Francisco J. Peña, Panagiotis Symeonidis, James Geraci, Aonghus Lawlor:
PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy. RecSys 2019: 457-461 - [c269]Bichen Shi, Makbule Gulcin Ozsoy, Neil Hurley, Barry Smyth, Elias Z. Tragos, James Geraci, Aonghus Lawlor:
PyRecGym: a reinforcement learning gym for recommender systems. RecSys 2019: 491-495 - [i3]Mansura A. Khan, Ellen Rushe, Barry Smyth, David Coyle:
Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach. CoRR abs/1908.00148 (2019) - 2018
- [c268]Khalil Muhammad, Aonghus Lawlor, Barry Smyth:
A Multi-Domain Analysis of Explanation-Based Recommendation using User-Generated Reviews. FLAIRS 2018: 474-477 - [c267]Barry Smyth, Pádraig Cunningham:
An Analysis of Case Representations for Marathon Race Prediction and Planning. ICCBR 2018: 369-384 - [c266]Barry Smyth, Padraig Cunningham:
Marathon Race Planning: A Case-Based Reasoning Approach. IJCAI 2018: 5364-5368 - [c265]Nina Hagemann, Michael P. O'Mahony, Barry Smyth:
Module Advisor: Guiding Students with Recommendations. ITS 2018: 319-325 - [c264]Yichao Lu, Ruihai Dong, Barry Smyth:
Convolutional Matrix Factorization for Recommendation Explanation. IUI Companion 2018: 34:1-34:2 - [c263]Yichao Lu, Ruihai Dong, Barry Smyth:
Why I like it: multi-task learning for recommendation and explanation. RecSys 2018: 4-12 - [c262]Nina Hagemann, Michael P. O'Mahony, Barry Smyth:
Module advisor: a hybrid recommender system for elective module exploration. RecSys 2018: 498-499 - [c261]Nava Tintarev, Shahin Rostami, Barry Smyth:
Knowing the unknown: visualising consumption blind-spots in recommender systems. SAC 2018: 1396-1399 - [c260]Barry Smyth:
Running Recommendations: Personalisation Opportunities for Health and Fitness. UMAP 2018: 1 - [c259]Yichao Lu, Ruihai Dong, Barry Smyth:
Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews. WWW 2018: 773-782 - [p9]Peter Brusilovsky, Barry Smyth, Bracha Shapira:
Social Search. Social Information Access 2018: 213-276 - [p8]Michael P. O'Mahony, Barry Smyth:
From Opinions to Recommendations. Social Information Access 2018: 480-509 - [i2]Jöran Beel, Barry Smyth, Andrew Collins:
RARD II: The 2nd Related-Article Recommendation Dataset. CoRR abs/1807.06918 (2018) - 2017
- [c258]Khalil Muhammad, Aonghus Lawlor, Barry Smyth:
On the Pros and Cons of Explanation-Based Ranking. ICCBR 2017: 227-241 - [c257]Barry Smyth, Pádraig Cunningham:
Running with Cases: A CBR Approach to Running Your Best Marathon. ICCBR 2017: 360-374 - [c256]Ruihai Dong, Barry Smyth:
User-Based Opinion-based Recommendation. IJCAI 2017: 4821-4825 - [c255]Severin Gsponer, Barry Smyth, Georgiana Ifrim:
Efficient Sequence Regression by Learning Linear Models in All-Subsequence Space. ECML/PKDD (2) 2017: 37-52 - [c254]Jakim Berndsen, Aonghus Lawlor, Barry Smyth:
Running with Recommendation. HealthRecSys@RecSys 2017: 18-21 - [c253]Barry Smyth, Pádraig Cunningham:
A Novel Recommender System for Helping Marathoners to Achieve a New Personal-Best. RecSys 2017: 116-120 - 2016
- [j59]David B. Leake, Barry Smyth, Rosina Weber:
Guest editors' introduction: special issue on case-based reasoning. J. Intell. Inf. Syst. 46(2): 235-236 (2016) - [j58]Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth:
Combining similarity and sentiment in opinion mining for product recommendation. J. Intell. Inf. Syst. 46(2): 285-312 (2016) - [c252]Khalil Muhammad, Aonghus Lawlor, Barry Smyth:
Explanation-based Ranking in Opinionated Recommender Systems. AICS 2016: 128-139 - [c251]Khalil Muhammad, Aonghus Lawlor, Barry Smyth:
On the Use of Opinionated Explanations to Rank and Justify Recommendations. FLAIRS 2016: 554-559 - [c250]Ruihai Dong, Barry Smyth:
Personalized Opinion-Based Recommendation. ICCBR 2016: 93-107 - [c249]Khalil Ibrahim Muhammad, Aonghus Lawlor, Barry Smyth:
A Live-User Study of Opinionated Explanations for Recommender Systems. IUI 2016: 256-260 - [c248]Yichao Lu, Ruihai Dong, Barry Smyth:
Context-Aware Sentiment Detection from Ratings. SGAI Conf. 2016: 87-101 - [c247]Barry Smyth, Rachael Rafter, Sam Banks:
Harnessing Crowdsourced Recommendation Preference Data from Casual Gameplay. UMAP 2016: 95-104 - [c246]Ruihai Dong, Barry Smyth:
From More-Like-This to Better-Than-This: Hotel Recommendations from User Generated Reviews. UMAP 2016: 309-310 - 2015
- [c245]Barry Smyth, Rachael Rafter, Sam Banks:
A Game with a Purpose for Recommender Systems. HCOMP 2015: 38-39 - [c244]Barry Smyth:
From Small Sensors to Big Data. HT 2015: 101 - [c243]Khalil Muhammad, Aonghus Lawlor, Rachael Rafter, Barry Smyth:
Great Explanations: Opinionated Explanations for Recommendations. ICCBR 2015: 244-258 - [c242]Sam Banks, Rachael Rafter, Barry Smyth:
The Recommendation Game: Using a Game-with-a-Purpose to Generate Recommendation Data. RecSys 2015: 305-308 - [c241]Aonghus Lawlor, Khalil Muhammad, Rachael Rafter, Barry Smyth:
Opinionated Explanations for Recommendation Systems. SGAI Conf. 2015: 331-344 - [c240]Doychin Doychev, Rachael Rafter, Aonghus Lawlor, Barry Smyth:
News Recommenders: Real-Time, Real-Life Experiences. UMAP 2015: 337-342 - [c239]Khalil Muhammad, Aonghus Lawlor, Rachael Rafter, Barry Smyth:
Generating Personalised and Opinionated Review Summaries. UMAP Workshops 2015 - [p7]Ruihai Dong, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
Case-Studies in Mining User-Generated Reviews for Recommendation. Advances in Social Media Analysis 2015: 105-127 - [r1]Barry Smyth, Maurice Coyle, Peter Briggs, Kevin McNally, Michael P. O'Mahony:
Collaboration, Reputation and Recommender Systems in Social Web Search. Recommender Systems Handbook 2015: 569-608 - 2014
- [j57]Kevin McNally, Michael P. O'Mahony, Barry Smyth:
A comparative study of collaboration-based reputation models for social recommender systems. User Model. User Adapt. Interact. 24(3): 219-260 (2014) - [c238]Ruihai Dong, Michael P. O'Mahony, Barry Smyth:
Further Experiments in Opinionated Product Recommendation. ICCBR 2014: 110-124 - 2013
- [j56]Daniel Kelly, Barry Smyth, Brian Caulfield:
Uncovering Measurements of Social and Demographic Behavior From Smartphone Location Data. IEEE Trans. Hum. Mach. Syst. 43(2): 188-198 (2013) - [c237]Owen Phelan, Kevin McCarthy, Barry Smyth:
Towards a Novel and Timely Search and Discovery System Using the Real-Time Social Web. APWeb 2013: 746-757 - [c236]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
Opinionated Product Recommendation. ICCBR 2013: 44-58 - [c235]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
Mining Features and Sentiment from Review Experiences. ICCBR 2013: 59-73 - [c234]Kevin McNally, Michael P. O'Mahony, Barry Smyth:
A Model of Collaboration-based Reputation for the Social Web. ICWSM 2013 - [c233]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Barry Smyth:
Topic Extraction from Online Reviews for Classification and Recommendation. IJCAI 2013: 1310-1316 - [c232]Sandra Garcia Esparza, Michael P. O'Mahony, Barry Smyth:
CatStream: categorising tweets for user profiling and stream filtering. IUI 2013: 25-36 - [c231]Steven Bourke, Michael P. O'Mahony, Rachael Rafter, Barry Smyth:
Ranking in information streams. IUI Companion 2013: 99-100 - [c230]Zurina Saaya, Rachael Rafter, Markus Schaal, Barry Smyth:
The curated web: a recommendation challenge. RecSys 2013: 101-104 - [c229]Ruihai Dong, Michael P. O'Mahony, Markus Schaal, Kevin McCarthy, Barry Smyth:
Sentimental product recommendation. RecSys 2013: 411-414 - [c228]Barry Smyth:
Opinionated Product Recommendation: Mining User-Generated Reviews for Recommendation Knowledge. RSWeb@RecSys 2013 - [c227]Zurina Saaya, Markus Schaal, Rachael Rafter, Barry Smyth:
Recommending Topics for Web Curation. UMAP 2013: 242-253 - 2012
- [j55]Sandra Garcia Esparza, Michael P. O'Mahony, Barry Smyth:
Mining the real-time web: A novel approach to product recommendation. Knowl. Based Syst. 29: 3-11 (2012) - [j54]Maria Salamó, Kevin McCarthy, Barry Smyth:
Generating recommendations for consensus negotiation in group personalization services. Pers. Ubiquitous Comput. 16(5): 597-610 (2012) - [c226]Eoin Hurrell, Alan F. Smeaton, Barry Smyth:
Interactivity and Multimedia in Case-Based Recommendation. FLAIRS 2012 - [c225]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
Harnessing the Experience Web to Support User-Generated Product Reviews. ICCBR 2012: 62-76 - [c224]Zurina Saaya, Markus Schaal, Maurice Coyle, Peter Briggs, Barry Smyth:
Exploiting Extended Search Sessions for Recommending Search Experiences in the Social Web. ICCBR 2012: 369-383 - [c223]Ruihai Dong, Kevin McCarthy, Michael P. O'Mahony, Markus Schaal, Barry Smyth:
Towards an intelligent reviewer's assistant: recommending topics to help users to write better product reviews. IUI 2012: 159-168 - [c222]Ruihai Dong, Kevin McCarthy, Michael P. O'Mahony, Markus Schaal, Barry Smyth:
First demonstration of the intelligent reviewer's assistant. IUI 2012: 337-338 - [c221]Markus Schaal, Barry Smyth, Roland M. Müller, Rutger MacLean:
Information quality dimensions for the social web. MEDES 2012: 53-58 - [c220]Derek Greene, Gavin Sheridan, Barry Smyth, Pádraig Cunningham:
Aggregating content and network information to curate twitter user lists. RSWeb@RecSys 2012: 29-36 - [c219]Barry Smyth, Maurice Coyle, Peter Briggs:
HeyStaks: a real-world deployment of social search. RecSys 2012: 289-292 - [c218]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
The demonstration of the reviewer's assistant. RecSys 2012: 297-298 - [c217]Owen Phelan, Kevin McCarthy, Barry Smyth:
Yokie: explorations in curated real-time search & discovery using twitter. RecSys 2012: 307-308 - [c216]Zurina Saaya, Markus Schaal, Maurice Coyle, Peter Briggs, Barry Smyth:
A Comparison of Machine Learning Techniques for Recommending Search Experiences in Social Search. SGAI Conf. 2012: 195-200 - [c215]Sandra Garcia Esparza, Michael P. O'Mahony, Barry Smyth:
Towards the Profiling of Twitter Users for Topic-Based Filtering. SGAI Conf. 2012: 273-286 - [c214]John Hannon, Kevin McCarthy, Barry Smyth:
Content vs. Tags for Friend Recommendation. SGAI Conf. 2012: 289-302 - [c213]Steven Bourke, Michael P. O'Mahony, Rachael Rafter, Kevin McCarthy, Barry Smyth:
Collaborative Filtering For Recommendation In Online Social Networks. SGAI Conf. 2012: 303-316 - [c212]Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Kevin McCarthy, Barry Smyth:
Unsupervised Topic Extraction for the Reviewer's Assistant. SGAI Conf. 2012: 317-330 - [c211]Markus Schaal, John O'Donovan, Barry Smyth:
An Analysis of Topical Proximity in the Twitter Social Graph. SocInfo 2012: 232-245 - [c210]John Hannon, Kevin McCarthy, Michael P. O'Mahony, Barry Smyth:
A Multi-faceted User Model for Twitter. UMAP 2012: 303-309 - [i1]Derek Greene, Gavin Sheridan, Barry Smyth, Pádraig Cunningham:
Aggregating Content and Network Information to Curate Twitter User Lists. CoRR abs/1206.1728 (2012) - 2011
- [j53]Barry Smyth, Jill Freyne, Maurice Coyle, Peter Briggs:
Recommendation as Collaboration in Web Search. AI Mag. 32(3): 35-45 (2011) - [j52]Kevin McNally, Michael P. O'Mahony, Maurice Coyle, Peter Briggs, Barry Smyth:
A Case Study of Collaboration and Reputation in Social Web Search. ACM Trans. Intell. Syst. Technol. 3(1): 4:1-4:29 (2011) - [j51]John Riedl, Barry Smyth:
Introduction to special issue on recommender systems. ACM Trans. Web 5(1): 1:1-1:2 (2011) - [c209]Barry Smyth:
Web Search: Social & Collaborative. CORIA 2011: 3 - [c208]Owen Phelan, Kevin McCarthy, Mike Bennett, Barry Smyth:
Terms of a Feather: Content-Based News Recommendation and Discovery Using Twitter. ECIR 2011: 448-459 - [c207]John Hannon, Kevin McCarthy, Barry Smyth:
Finding Useful Users on Twitter: Twittomender the Followee Recommender. ECIR 2011: 784-787 - [c206]Barry Smyth:
Social Information Discovery. EDM 2011: 3 - [c205]John Hannon, Evgeny Knutov, Paul De Bra, Mykola Pechenizkiy, Kevin McCarthy, Barry Smyth:
Bridging Recommendation and Adaptation: Generic Adaptation Framework - Twittomender compliance case-study. DAH@HT 2011: 1-9 - [c204]Zurina Saaya, Barry Smyth, Maurice Coyle, Peter Briggs:
Recommending Case Bases: Applications in Social Web Search. ICCBR 2011: 274-288 - [c203]Mike Bennett, Kevin McCarthy, Sile O'Modhrain, Barry Smyth:
SimpleFlow: Enhancing Gestural Interaction with Gesture Prediction, Abbreviation and Autocompletion. INTERACT (1) 2011: 591-608 - [c202]Steven Bourke, Kevin McCarthy, Barry Smyth:
The social camera: a case-study in contextual image recommendation. IUI 2011: 13-22 - [c201]John Hannon, Kevin McCarthy, James Lynch, Barry Smyth:
Personalized and automatic social summarization of events in video. IUI 2011: 335-338 - [c200]Kevin McNally, Michael P. O'Mahony, Barry Smyth, Maurice Coyle, Peter Briggs:
Social and collaborative web search: an evaluation study. IUI 2011: 387-390 - [c199]Steven Bourke, Kevin McCarthy, Barry Smyth:
Power to the people: exploring neighbourhood formations in social recommender system. RecSys 2011: 337-340 - [c198]Kevin McNally, Michael P. O'Mahony, Barry Smyth:
Models of Web Page Reputation in Social Search. SocialCom/PASSAT 2011: 435-442 - [c197]Zurina Saaya, Barry Smyth, Maurice Coyle, Peter Briggs:
Recognising and Recommending Context in Social Web Search. UMAP 2011: 293-304 - [c196]Barry Smyth:
Search with a Little Help from Your Friends - Making Web Search More Collaborative. WEBIST 2011 - [c195]Barry Smyth:
Making Mainstream Web Search Engines More Collaborative. WEBIST (Selected Papers) 2011: 17-31 - [c194]Brian Caulfield, Jason Blood, Barry Smyth, Daniel Kelly:
Rehabilitation exercise feedback on Android platform. Wireless Health 2011: 18 - [c193]Owen Phelan, Kevin McCarthy, Mike Bennett, Barry Smyth:
On using the real-time web for news recommendation & discovery. WWW (Companion Volume) 2011: 103-104 - [p6]Barry Smyth, Maurice Coyle, Peter Briggs:
Communities, Collaboration, and Recommender Systems in Personalized Web Search. Recommender Systems Handbook 2011: 579-614 - 2010
- [j50]Derek Greene, Jill Freyne, Barry Smyth, Pádraig Cunningham:
An Analysis of Current Trends in CBR Research Using Multi-View Clustering. AI Mag. 31(2): 45-62 (2010) - [j49]Jill Freyne, Lorcan Coyle, Barry Smyth, Padraig Cunningham:
Relative status of journal and conference publications in computer science. Commun. ACM 53(11): 124-132 (2010) - [j48]Oisín Boydell, Barry Smyth:
Social summarization in collaborative web search. Inf. Process. Manag. 46(6): 782-798 (2010) - [j47]Pierre-Antoine Champin, Peter Briggs, Maurice Coyle, Barry Smyth:
Coping with noisy search experiences. Knowl. Based Syst. 23(4): 287-294 (2010) - [j46]Michael P. O'Mahony, Barry Smyth:
A classification-based review recommender. Knowl. Based Syst. 23(4): 323-329 (2010) - [c192]Barry Smyth:
Web Search Futures: Personal, Collaborative, Social. ECIR 2010: 10 - [c191]Michael P. O'Mahony, Barry Smyth:
The Readability of Helpful Product Reviews. FLAIRS 2010 - [c190]Jill Freyne, Barry Smyth:
Visualization for the Masses: Learning from the Experts. ICCBR 2010: 111-125 - [c189]Kevin McCarthy, Yasser Salem, Barry Smyth:
Experience-Based Critiquing: Reusing Critiquing Experiences to Improve Conversational Recommendation. ICCBR 2010: 480-494 - [c188]Kevin McNally, Michael P. O'Mahony, Barry Smyth, Maurice Coyle, Peter Briggs:
Towards a reputation-based model of social web search. IUI 2010: 179-188 - [c187]Guangyu Wu, Derek Greene, Barry Smyth, Pádraig Cunningham:
Distortion as a validation criterion in the identification of suspicious reviews. SOMA@KDD 2010: 10-13 - [c186]Karen Church, Josep M. Pujol, Barry Smyth, Noshir S. Contractor:
MobileHCI'10 workshop summary: social mobile web. Mobile HCI 2010: 509-512 - [c185]John Hannon, Mike Bennett, Barry Smyth:
Recommending twitter users to follow using content and collaborative filtering approaches. RecSys 2010: 199-206 - [c184]Sandra Garcia Esparza, Michael P. O'Mahony, Barry Smyth:
On the real-time web as a source of recommendation knowledge. RecSys 2010: 305-308 - [c183]Michael P. O'Mahony, Barry Smyth:
Using readability tests to predict helpful product reviews. RIAO 2010: 164-167 - [c182]Sandra Garcia Esparza, Michael P. O'Mahony, Barry Smyth:
Effective Product Recommendation using the Real-Time Web. SGAI Conf. 2010: 5-18
2000 – 2009
- 2009
- [c181]Jill Freyne, Barry Smyth:
Creating Visualizations: A Case-Based Reasoning Perspective. AICS 2009: 82-91 - [c180]Michael P. O'Mahony, Padraig Cunningham, Barry Smyth:
An Assessment of Machine Learning Techniques for Review Recommendation. AICS 2009: 241-250 - [c179]Owen Phelan, Kevin McCarthy, Barry Smyth:
Buzzer - Online Real-Time Topical News Article and Source Recommender. AICS 2009: 251-261 - [c178]Brendan O'Huiginn, Barry Smyth, Garrett Coughlan, Diarmaid Fitzgerald, Brian Caulfield:
Therapeutic Exergaming. BSN 2009: 273-277 - [c177]John O'Donovan, Brynjar Gretarsson, Svetlin Bostandjiev, Tobias Höllerer, Barry Smyth:
A Visual Interface for Social Information Filtering. CSE (4) 2009: 74-81 - [c176]Barry Smyth, Maurice Coyle, Peter Briggs:
The Altruistic Searcher. CSE (4) 2009: 360-367 - [c175]Jill Freyne, Adam J. Brennan, Barry Smyth, Daragh Byrne, Alan F. Smeaton, Gareth J. F. Jones:
Automated Murmurs: The Social Mobile Tourist Application. CSE (4) 2009: 1021-1026 - [c174]Barry Smyth, Peter Briggs, Maurice Coyle, Michael P. O'Mahony:
A Case-Based Perspective on Social Web Search. ICCBR 2009: 494-508 - [c173]Karen Church, Barry Smyth:
Understanding the intent behind mobile information needs. IUI 2009: 247-256 - [c172]Michael P. O'Mahony, Barry Smyth:
Learning to recommend helpful hotel reviews. RecSys 2009: 305-308 - [c171]Owen Phelan, Kevin McCarthy, Barry Smyth:
Using twitter to recommend real-time topical news. RecSys 2009: 385-388 - [c170]Pierre-Antoine Champin, Peter Briggs, Maurice Coyle, Barry Smyth:
Coping with Noisy Search Experiences. SGAI Conf. 2009: 5-18 - [c169]Michael P. O'Mahony, Barry Smyth:
A Classification-based Review Recommender. SGAI Conf. 2009: 49-62 - [c168]Barry Smyth, Peter Briggs, Maurice Coyle, Michael P. O'Mahony:
Google Shared. A Case-Study in Social Search. UMAP 2009: 283-294 - [c167]Rachael Rafter, Michael P. O'Mahony, Neil J. Hurley, Barry Smyth:
What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective. UMAP 2009: 355-360 - 2008
- [j45]Barry Smyth, Paul Cotter, Stephen Oman:
Intelligent Content Discovery on the Mobile Internet: Experiences and Lessons Learned. AI Mag. 29(1): 29-40 (2008) - [j44]Mark T. Keane, Maeve O'Brien, Barry Smyth:
Are people biased in their use of search engines? Commun. ACM 51(2): 49-52 (2008) - [j43]Lucy E. Dunne, Pauline Walsh, Sonja Hermann, Barry Smyth, Brian Caulfield:
Wearable Monitoring of Seated Spinal Posture. IEEE Trans. Biomed. Circuits Syst. 2(2): 97-105 (2008) - [c166]Maurice Coyle, Jill Freyne, Peter Brusilovsky, Barry Smyth:
Social Information Access for the Rest of Us: An Exploration of Social YouTube. AH 2008: 93-102 - [c165]Maurice Coyle, Barry Smyth:
(Web Search)shared: Social Aspects of a Collaborative, Community-Based Search Network. AH 2008: 103-112 - [c164]John O'Donovan, Barry Smyth, Brynjar Gretarsson, Svetlin Bostandjiev, Tobias Höllerer:
PeerChooser: visual interactive recommendation. CHI 2008: 1085-1088 - [c163]Derek Greene, Jill Freyne, Barry Smyth, Padraig Cunningham:
An Analysis of Research Themes in the CBR Conference Literature. ECCBR 2008: 18-43 - [c162]Peter Briggs, Barry Smyth:
Provenance, Trust, and Sharing in Peer-to-Peer Case-Based Web Search. ECCBR 2008: 89-103 - [c161]Karen Church, Barry Smyth:
Who, what, where & when: a new approach to mobile search. IUI 2008: 309-312 - [c160]Karen Church, Barry Smyth, Keith Bradley, Paul Cotter:
A large scale study of European mobile search behaviour. Mobile HCI 2008: 13-22 - [c159]Karen Church, Barry Smyth:
Understanding mobile information needs. Mobile HCI 2008: 493-494 - [p5]Barry Smyth:
Personalization-Privacy Tradeoffs in Adaptive Information Access. Personalization Techniques and Recommender Systems 2008: 3-32 - 2007
- [j42]Michael P. O'Mahony, Barry Smyth:
Collaborative web search: a robustness analysis. Artif. Intell. Rev. 28(1): 69-86 (2007) - [j41]Karen Church, Barry Smyth:
Improving mobile search using content enrichment. Artif. Intell. Rev. 28(1): 87-102 (2007) - [j40]Barry Smyth:
A Community-Based Approach to Personalizing Web Search. Computer 40(8): 42-50 (2007) - [j39]Barry Smyth:
Adaptive Information Access: Personalization and Privacy. Int. J. Pattern Recognit. Artif. Intell. 21(2): 183-205 (2007) - [j38]Maurice Coyle, Barry Smyth:
Supporting intelligent Web search. ACM Trans. Internet Techn. 7(4): 20 (2007) - [j37]Karen Church, Barry Smyth, Paul Cotter, Keith Bradley:
Mobile information access: A study of emerging search behavior on the mobile Internet. ACM Trans. Web 1(1): 4 (2007) - [c158]Barry Smyth, Paul Cotter, Stephen Oman:
Enabling Intelligent Content Discovery on the Mobile Internet. AAAI 2007: 1744-1751 - [c157]Barry Smyth:
Case-Based Recommendation. The Adaptive Web 2007: 342-376 - [c156]Anthony Jameson, Barry Smyth:
Recommendation to Groups. The Adaptive Web 2007: 596-627 - [c155]Lucy E. Dunne, Pauline Walsh, Barry Smyth, Brian Caulfield:
A System for Wearable Monitoring of Seated Posture in Computer Users. BSN 2007: 203-207 - [c154]Lucy E. Dunne, Barry Smyth:
Psychophysical elements of wearability. CHI 2007: 299-302 - [c153]Maurice Coyle, Barry Smyth:
Information Recovery and Discovery in Collaborative Web Search. ECIR 2007: 356-367 - [c152]Peter Briggs, Barry Smyth:
Harnessing Trust in Social Search. ECIR 2007: 525-532 - [c151]Rosta Farzan, Maurice Coyle, Jill Freyne, Peter Brusilovsky, Barry Smyth:
ASSIST: adaptive social support for information space traversal. Hypertext 2007: 199-208 - [c150]Edwin Costello, Lorraine McGinty, Matt Burland, Barry Smyth:
The Role of Recommendation for Flavor Innovation and Discovery. IC-AI 2007: 463-469 - [c149]Kevin McCarthy, Lorraine McGinty, Barry Smyth:
Case-Based Group Recommendation: Compromising for Success. ICCBR 2007: 299-313 - [c148]Oisín Boydell, Barry Smyth:
Enhancing Case-Based, Collaborative Web Search. ICCBR 2007: 329-343 - [c147]John O'Donovan, Barry Smyth, Vesile Evrim, Dennis McLeod:
Extracting and Visualizing Trust Relationships from Online Auction Feedback Comments. IJCAI 2007: 2826-2831 - [c146]Lucy E. Dunne, Barry Smyth, Brian Caulfield:
A Comparative Evaluation of Bend Sensors for Wearable Applications. ISWC 2007: 121-122 - [c145]Lucy E. Dunne, Barry Smyth, Brian Caulfield:
Evaluating the Impact of Garment Structure on Wearable Sensor Performance. ISWC 2007: 123-124 - [c144]Oisín Boydell, Barry Smyth:
From social bookmarking to social summarization: an experiment in community-based summary generation. IUI 2007: 42-51 - [c143]Jill Freyne, Rosta Farzan, Peter Brusilovsky, Barry Smyth, Maurice Coyle:
Collecting community wisdom: integrating social search & social navigation. IUI 2007: 52-61 - [c142]Karen Church, Barry Smyth:
Mobile content enrichment. IUI 2007: 112-121 - [c141]Maurice Coyle, Barry Smyth:
On the community-based explanation of search results. IUI 2007: 282-285 - [c140]James Reilly, Jiyong Zhang, Lorraine McGinty, Pearl Pu, Barry Smyth:
A comparison of two compound critiquing systems. IUI 2007: 317-320 - [c139]Peter Briggs, Barry Smyth:
Trusted search communities. IUI 2007: 337-340 - [c138]Jill Freyne, Emil Varga, Daragh Byrne, Alan F. Smeaton, Barry Smyth, Gareth J. F. Jones:
Realising Context-Sensitive Mobile Messaging. OTM Workshops (1) 2007: 407-416 - [c137]Barry Smyth:
Adventures in Personalized Information Access. ECML/PKDD 2007: 5 - [c136]Michael P. O'Mahony, Barry Smyth:
A recommender system for on-line course enrolment: an initial study. RecSys 2007: 133-136 - [c135]Barry Smyth:
Adventures in Personalized Web Search. SGAI Conf. 2007: 3 - [c134]James Reilly, Jiyong Zhang, Lorraine McGinty, Pearl Pu, Barry Smyth:
Evaluating compound critiquing recommenders: a real-user study. EC 2007: 114-123 - [e3]Joseph A. Konstan, John Riedl, Barry Smyth:
Proceedings of the 2007 ACM Conference on Recommender Systems, RecSys 2007, Minneapolis, MN, USA, October 19-20, 2007. ACM 2007, ISBN 978-1-59593-730-8 [contents] - 2006
- [j36]Peter Briggs, Barry Smyth:
On the role of trust in collaborative Web search. Artif. Intell. Rev. 25(1-2): 97-117 (2006) - [j35]Martin Halvey, Mark T. Keane, Barry Smyth:
Mobile web surfing is the same as web surfing. Commun. ACM 49(3): 76-81 (2006) - [j34]John O'Donovan, Barry Smyth:
Mining Trust Values from Recommendation Errors. Int. J. Artif. Intell. Tools 15(6): 945-962 (2006) - [j33]Lorraine McGinty, Barry Smyth:
Adaptive Selection: An Analysis of Critiquing and Preference-Based Feedback in Conversational Recommender Systems. Int. J. Electron. Commer. 11(2): 35-57 (2006) - [j32]Barry Smyth, Evelyn Balfe:
Anonymous personalization in collaborative web search. Inf. Retr. 9(2): 165-190 (2006) - [j31]Hyowon Lee, Alan F. Smeaton, Noel E. O'Connor, Barry Smyth:
User evaluation of Físchlár-News: An automatic broadcast news delivery system. ACM Trans. Inf. Syst. 24(2): 145-189 (2006) - [c133]Jill Freyne, Barry Smyth:
Cooperating Search Communities. AH 2006: 101-110 - [c132]Martin Halvey, Mark T. Keane, Barry Smyth:
Temporal Rules for Predicting User Navigation in the Mobile Web. AH 2006: 111-120 - [c131]Lucy E. Dunne, Sarah Brady, Richard Tynan, Kim Lau, Barry Smyth, Dermot Diamond, Gregory M. P. O'Hare:
Garment-based body sensing using foam sensors. AUIC 2006: 165-171 - [c130]Martin Halvey, Mark T. Keane, Barry Smyth:
Time based patterns in mobile-internet surfing. CHI 2006: 31-34 - [c129]Oisín Boydell, Barry Smyth:
Capturing community search expertise for personalized web search using snippet-indexes. CIKM 2006: 277-286 - [c128]Sarah Jane Delany, Padraig Cunningham, Barry Smyth:
ECUE: A Spam Filter that Uses Machine Leaming to Track Concept Drift. ECAI 2006: 627- - [c127]Oisín Boydell, Barry Smyth:
Title and Snippet Based Result Re-ranking in Collaborative Web Search. ECIR 2006: 484-487 - [c126]Pauline Walsh, Lucy E. Dunne, Brian Caulfield, Barry Smyth:
Marker-Based Monitoring of Seated Spinal Posture Using a Calibrated Single-Variable Threshold Model. EMBC 2006: 5370-5373 - [c125]Lorcan Coyle, Evelyn Balfe, Graeme Stevenson, Steve Neely, Simon Dobson, Paddy Nixon, Barry Smyth:
Supplementing Case-based Recommenders with Context Data. CACOA 2006 - [c124]Kevin McCarthy, Lorraine McGinty, Barry Smyth, Maria Salamó:
The Needs of the Many: A Case-Based Group Recommender System. ECCBR 2006: 196-210 - [c123]Jill Freyne, Barry Smyth:
Further Experiments in Case-Based Collaborative Web Search. ECCBR 2006: 256-270 - [c122]Maurice Coyle, Barry Smyth:
On the Use of Selective Ensembles for Relevance Classification in Case-Based Web Search. ECCBR 2006: 370-384 - [c121]Barry Smyth:
Personalizing Web Search: Communities and Collaboration. FLAIRS 2006: 20-24 - [c120]Kevin McCarthy, Maria Salamó, Lorcan Coyle, Lorraine McGinty, Barry Smyth, Paddy Nixon:
CATS: A Synchronous Approach to Collaborative Group Recommendation. FLAIRS 2006: 86-91 - [c119]John Doody, Edwin Costello, Lorraine McGinty, Barry Smyth:
Combining Visualization and Feedback for Eyewear Recommendation. FLAIRS 2006: 135-140 - [c118]Barry Smyth:
Social and personal: communities and collaboration in adaptive web search. IIiX 2006: 3-5 - [c117]Lucy E. Dunne, Pauline Walsh, Barry Smyth, Brian Caulfield:
Design and Evaluation of a Wearable Optical Sensor for Monitoring Seated Spinal Posture. ISWC 2006: 65-68 - [c116]John O'Donovan, Barry Smyth:
Is trust robust?: an analysis of trust-based recommendation. IUI 2006: 101-108 - [c115]Kevin McCarthy, Maria Salamó, Lorcan Coyle, Lorraine McGinty, Barry Smyth, Paddy Nixon:
Group recommender systems: a critiquing based approach. IUI 2006: 267-269 - [c114]Edwin Costello, John Doody, Lorraine McGinty, Barry Smyth:
iCARE: intelligent customer assistance for recommending eyewear. IUI 2006: 282-284 - [c113]Oisín Boydell, Barry Smyth:
Community-based snippet-indexes for pseudo-anonymous personalization in web search. SIGIR 2006: 617-618 - [c112]John O'Donovan, Vesile Evrim, Barry Smyth, Dennis McLeod, Paddy Nixon:
Personalizing Trust in Online Auctions. STAIRS 2006: 72-83 - [c111]Karen Church, Barry Smyth, Mark T. Keane:
Evaluating interfaces for intelligent mobile search. W4A 2006: 69-78 - [c110]Martin Halvey, Mark T. Keane, Barry Smyth:
Temporal rules for mobile web personalization. WWW 2006: 839-840 - [c109]Maeve O'Brien, Mark T. Keane, Barry Smyth:
Predictive modeling of first-click behavior in web-search. WWW 2006: 1031-1032 - [e2]Vincent P. Wade, Helen Ashman, Barry Smyth:
Adaptive Hypermedia and Adaptive Web-Based Systems, 4th International Conference, AH 2006, Dublin, Ireland, June 21-23, 2006, Proceedings. Lecture Notes in Computer Science 4018, Springer 2006, ISBN 3-540-34696-1 [contents] - 2005
- [j30]James Reilly, Kevin McCarthy, Lorraine McGinty, Barry Smyth:
Explaining Compound Critiques. Artif. Intell. Rev. 24(2): 199-220 (2005) - [j29]Rachael Rafter, Barry Smyth:
Conversational Collaborative Recommendation - An Experimental Analysis. Artif. Intell. Rev. 24(3-4): 301-318 (2005) - [j28]Kevin McCarthy, James Reilly, Barry Smyth, Lorraine McGinty:
Generating Diverse Compound Critiques. Artif. Intell. Rev. 24(3-4): 339-357 (2005) - [j27]Derry O'Sullivan, Barry Smyth, David C. Wilson:
Understanding Case Based Recommendation: A Similarity Knowledge Perspective. Int. J. Artif. Intell. Tools 14(1-2): 215-232 (2005) - [j26]James Reilly, Kevin McCarthy, Lorraine McGinty, Barry Smyth:
Incremental critiquing. Knowl. Based Syst. 18(4-5): 143-151 (2005) - [j25]Ramón López de Mántaras, David McSherry, Derek G. Bridge, David B. Leake, Barry Smyth, Susan Craw, Boi Faltings, Mary Lou Maher, Michael T. Cox, Kenneth D. Forbus, Mark T. Keane, Agnar Aamodt, Ian D. Watson:
Retrieval, reuse, revision and retention in case-based reasoning. Knowl. Eng. Rev. 20(3): 215-240 (2005) - [j24]Derek G. Bridge, Mehmet H. Göker, Lorraine McGinty, Barry Smyth:
Case-based recommender systems. Knowl. Eng. Rev. 20(3): 315-320 (2005) - [c108]Kevin McCarthy, Lorraine McGinty, Barry Smyth, James Reilly:
On the Evaluation of Dynamic Critiquing: A Large-Scale User Study. AAAI 2005: 535-540 - [c107]Roy Sterritt, Barry Smyth, Martin M. Bradle:
PACT: Personal Autonomic Computing Tools. ECBS 2005: 519-527 - [c106]Evelyn Balfe, Barry Smyth:
An Analysis of Query Similarity in Collaborative Web Search. ECIR 2005: 330-344 - [c105]Oisín Boydell, Cathal Gurrin, Alan F. Smeaton, Barry Smyth:
Manipulating the Relevance Models of Existing Search Engines. ECIR 2005: 540-542 - [c104]Maurice Coyle, Barry Smyth:
Enhancing Web Search Result Lists Using Interaction Histories. ECIR 2005: 543-545 - [c103]Karen Church, Mark T. Keane, Barry Smyth:
An Evaluation of Gisting in Mobile Search. ECIR 2005: 546-548 - [c102]Kevin McCarthy, James Reilly, Lorraine McGinty, Barry Smyth:
An Analysis of Critique Diversity in Case-Based Recommendation. FLAIRS 2005: 123-128 - [c101]John O'Donovan, Barry Smyth:
Eliciting Trust Values from Recommendation Errors. FLAIRS 2005: 289-294 - [c100]Peter Briggs, Barry Smyth:
Implicit Feedback in Collaborative Web Search. IC-AI 2005: 742-746 - [c99]Lorraine McGinty, Denise Shanley, Barry Smyth:
Using Recommendation Summaries for Retrieval in Conversational Recommenders. IC-AI 2005: 802-808 - [c98]Barry Smyth, Kevin McCarthy, James Reilly, Derry O'Sullivan, Lorraine McGinty, David C. Wilson:
Case Studies in Association Rule Mining for Recommender Systems. IC-AI 2005: 809-815 - [c97]Evelyn Balfe, Barry Smyth:
A Comparative Analysis of Query Similarity Metrics for Community-Based Web Search. ICCBR 2005: 63-77 - [c96]Kevin McCarthy, Lorraine McGinty, Barry Smyth, James Reilly:
A Live-User Evaluation of Incremental Dynamic Critiquing. ICCBR 2005: 339-352 - [c95]James Reilly, Barry Smyth, Lorraine McGinty, Kevin McCarthy:
Critiquing with Confidence. ICCBR 2005: 436-450 - [c94]Barry Smyth, Evelyn Balfe, Oisín Boydell, Keith Bradley, Peter Briggs, Maurice Coyle, Jill Freyne:
A Live-User Evaluation of Collaborative Web Search. IJCAI 2005: 1419-1424 - [c93]Maurice Coyle, Barry Smyth:
Explaining Search Results. IJCAI 2005: 1553-1555 - [c92]Oisín Boydell, Barry Smyth, Cathal Gurrin, Alan F. Smeaton:
A Study of Selection Noise in Collaborative Web Search. IJCAI 2005: 1595-1597 - [c91]John O'Donovan, Barry Smyth:
Trust No One: Evaluating Trust-based Filtering for Recommenders. IJCAI 2005: 1663-1665 - [c90]Karen Church, Mark T. Keane, Barry Smyth:
Towards More Intelligent Mobile Search. IJCAI 2005: 1675-1676 - [c89]Sarah Brady, Lucy E. Dunne, Richard Tynan, Dermot Diamond, Barry Smyth, Gregory M. P. O'Hare:
Garment-Based Monitoring of Respiration Rate Using a Foam Pressure Sensor. ISWC 2005: 214-215 - [c88]Barry Smyth:
Adaptive information access and the quest for the personalization-privacy sweetspot. IUI 2005: 2 - [c87]John O'Donovan, Barry Smyth:
Trust in recommender systems. IUI 2005: 167-174 - [c86]Kevin McCarthy, James Reilly, Lorraine McGinty, Barry Smyth:
Experiments in dynamic critiquing. IUI 2005: 175-182 - [c85]Martin Halvey, Mark T. Keane, Barry Smyth:
Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files. MLDM 2005: 174-183 - [c84]Maria Salamó, James Reilly, Lorraine McGinty, Barry Smyth:
Knowledge Discovery from User Preferences in Conversational Recommendation. PKDD 2005: 228-239 - [c83]Oisín Boydell, Barry Smyth, Cathal Gurrin, Alan F. Smeaton:
Evaluating the impact of selection noise in community-based web search. SIGIR 2005: 591-592 - [c82]Martin Halvey, Mark T. Keane, Barry Smyth:
Time Based Segmentation of Log Data for User Navigation Prediction in Personalization. Web Intelligence 2005: 636-640 - [c81]Martin Halvey, Mark T. Keane, Barry Smyth:
Predicting navigation patterns on the mobile-internet using time of the week. WWW (Special interest tracks and posters) 2005: 958-959 - 2004
- [j23]Jill Freyne, Barry Smyth, Maurice Coyle, Evelyn Balfe, Peter Briggs:
Further Experiments on Collaborative Ranking in Community-Based Web Search. Artif. Intell. Rev. 21(3-4): 229-252 (2004) - [j22]Derry O'Sullivan, Barry Smyth, David C. Wilson:
Preserving recommender accuracy and diversity in sparse datasets. Int. J. Artif. Intell. Tools 13(1): 219-235 (2004) - [j21]Derry O'Sullivan, Barry Smyth, David C. Wilson, Kieran McDonald, Alan F. Smeaton:
Improving the Quality of the Personalized Electronic Program Guide. User Model. User Adapt. Interact. 14(1): 5-36 (2004) - [j20]Barry Smyth, Evelyn Balfe, Jill Freyne, Peter Briggs, Maurice Coyle, Oisín Boydell:
Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine. User Model. User Adapt. Interact. 14(5): 383-423 (2004) - [c80]Jill Freyne, Barry Smyth:
An Experiment in Social Search. AH 2004: 95-103 - [c79]Kevin McCarthy, James Reilly, Lorraine McGinty, Barry Smyth:
On the Dynamic Generation of Compound Critiques in Conversational Recommender Systems. AH 2004: 176-184 - [c78]Maurice Coyle, Barry Smyth:
SearchGuide: Beyond the Results Page. AH 2004: 296-299 - [c77]Peter Briggs, Barry Smyth:
On the Use of Collaborative Filtering Techniques for the Prediction of Web Search Result Rank. AH 2004: 380-383 - [c76]Evelyn Balfe, Barry Smyth:
Improving Web Search through Collaborative Query Recommendation. ECAI 2004: 268-272 - [c75]Maurice Coyle, Barry Smyth:
Different Strokes for Different Folks: An Analysis of Similarity and Diversity in Web Search. ECAI 2004: 981-982 - [c74]Evelyn Balfe, Barry Smyth:
Case-Based Collaborative Web Search. ECCBR 2004: 489-503 - [c73]Keith Bradley, Barry Smyth:
An Architecture for Case-Based Personalised Search. ECCBR 2004: 518-532 - [c72]Derry O'Sullivan, Barry Smyth, David C. Wilson:
Analysing Similarity Essence for Case Based Recommendation. ECCBR 2004: 717-731 - [c71]James Reilly, Kevin McCarthy, Lorraine McGinty, Barry Smyth:
Dynamic Critiquing. ECCBR 2004: 763-777 - [c70]Derry O'Sullivan, Barry Smyth, David C. Wilson:
In-Depth Analysis of Similarity Knowledge and Metric Contributions to Recommender Performance. FLAIRS 2004: 184-189 - [c69]Jill Freyne, Barry Smyth:
Query-Based Indexing in Collaorative Search. ICWI 2004: 461-468 - [c68]Maurice Coyle, Barry Smyth:
On the Importance of Being Diverse: Analysing Similarity and Diversity in Web Search. Intelligent Information Processing 2004: 341-350 - [c67]Alan F. Smeaton, Cathal Gurrin, Hyowon Lee, Kieran McDonald, Noel Murphy, Noel E. O'Connor, David Wilson, Derry O'Sullivan, Barry Smyth:
The Físchlár-News-Stories System: Personalised Access to an Archive of TV News. RIAO 2004: 3-17 - [c66]James Reilly, Kevin McCarthy, Lorraine McGinty, Barry Smyth:
Incremental Critiquing. SGAI Conf. 2004: 101-114 - [c65]Jill Freyne, Barry Smyth:
Collaborative Search: Deployment Experiences. SGAI Conf. (Applications) 2004: 121-134 - [c64]Stephen Blott, Fabrice Camous, Paul Ferguson, Georgina Gaughan, Cathal Gurrin, Gareth J. F. Jones, Noel Murphy, Noel E. O'Connor, Alan F. Smeaton, Peter Wilkins, Oisín Boydell, Barry Smyth:
Experiments in Terabyte Searching, Genomic Retrieval and Novelty Detection for TREC 2004. TREC 2004 - [c63]Barry Smyth, Lorraine McGinty, James Reilly, Kevin McCarthy:
Compound Critiques for Conversational Recommender Systems. Web Intelligence 2004: 145-151 - [c62]Evelyn Balfe, Barry Smyth:
Query Mining for Community Based Web Search. Web Intelligence 2004: 594-598 - [p4]Barry Smyth, Paul Cotter:
Case-Studies on the Evolution of the Personalized Electronic Program Guide. Personalized Digital Television 2004: 53-71 - [p3]Derry O'Sullivan, Barry Smyth, David Wilson, Kieran McDonald, Alan F. Smeaton:
Interactive Television Personalization. Personalized Digital Television 2004: 73-91 - [p2]Barry Smyth, Paul Cotter:
MP3 - Mobile Portals, Profiles and Personalization. Web Dynamics 2004: 411-434 - 2003
- [j19]David C. Wilson, Barry Smyth, Derry O'Sullivan:
Sparsity Reduction in Collaborative Recommendation: A Case-Based Approach. Int. J. Pattern Recognit. Artif. Intell. 17(5): 863-884 (2003) - [j18]Keith Bradley, Barry Smyth:
Personalized information ordering: a case study in online recruitment. Knowl. Based Syst. 16(5-6): 269-275 (2003) - [c61]Derry O'Sullivan, David C. Wilson, Barry Smyth:
Preserving Recommender Accuracy and Diversity in Sparse Datasets. FLAIRS 2003: 139-143 - [c60]Lorraine McGinty, Barry Smyth:
On the Role of Diversity in Conversational Recommender Systems. ICCBR 2003: 276-290 - [c59]Lorraine McGinty, Barry Smyth:
Improving the Performance of Recommender Systems That Use Critiquing. ITWP 2003: 114-132 - [c58]Barry Smyth, Lorraine McGinty:
The Power of Suggestion. IJCAI 2003: 127-132 - [c57]Barry Smyth, Kevin McCarthy, James Reilly:
Mobile Portal Personalization: Tools and Techniques. ITWP 2003: 255-271 - [c56]Derry O'Sullivan, Barry Smyth, David C. Wilson:
Explicit vs Implicit Profiling - A Case-Study in Electronic Programme Guides. IJCAI 2003: 1351- - [c55]Barry Smyth, Evelyn Balfe, Peter Briggs, Maurice Coyle, Jill Freyne:
Collaborative Web Search. IJCAI 2003: 1417-1419 - [c54]Rachael Rafter, Barry Smyth:
Item Selection Strategies for Collaborative Filtering. IJCAI 2003: 1437-1439 - [c53]Barry Smyth:
Intelligent Navigation on the Mobile Internet. KES 2003: 17-18 - [c52]Barry Smyth, Jill Freyne, Maurice Coyle, Peter Briggs, Evelyn Balfe:
I-SPY - Anonymous, Community-Based Personalization by Collaborative Meta-Search. SGAI Conf. 2003: 367-380 - 2002
- [j17]Barry Smyth, Keith Bradley, Rachael Rafter:
Personalization techniques for online recruitment services. Commun. ACM 45(5): 39-40 (2002) - [c51]Barry Smyth, Paul Cotter:
The Plight of the Navigator: Solving the Navigation Problem for Wireless Portals. AH 2002: 328-337 - [c50]J. P. McGowan, Nicholas Kushmerick, Barry Smyth:
Who Do You Want to Be Today? Web Personae for Personalised Information Access. AH 2002: 514-517 - [c49]Barry Smyth, David C. Wilson, Derry O'Sullivan:
Data Mining Support for Case-Based Collaborative Recommendation. AICS 2002: 111-118 - [c48]Lorraine McGinty, Barry Smyth:
Evaluating Preference-Based Feedback in Recommender Systems. AICS 2002: 209-214 - [c47]Barry Smyth, Paul Cotter:
Personalized Adaptive Navigation for Mobile Portals. ECAI 2002: 608-612 - [c46]Aidan Finn, Nicholas Kushmerick, Barry Smyth:
Genre Classification and Domain Transfer for Information Filtering. ECIR 2002: 353-362 - [c45]Keith Bradley, Barry Smyth:
Information Ordering vs Information Filtering. ECCBR Workshops 2002: 13-14 - [c44]Lorraine McGinty, Barry Smyth:
Preference-Based Feedback for Recommendation. ECCBR Workshops 2002: 24-25 - [c43]Barry Smyth:
Personalizing Navigation Structures in a Mobile Portal. ECCBR Workshops 2002: 29-30 - [c42]Derry O'Sullivan, David C. Wilson, Barry Smyth:
Improving Case-Based Recommendation: A Collaborative Filtering Approach. ECCBR 2002: 278-291 - [c41]Lorraine McGinty, Barry Smyth:
Comparison-Based Recommendation. ECCBR 2002: 575-589 - [c40]Lorraine McGinty, Barry Smyth:
Shared Experiences in Personalized Route Planning. FLAIRS 2002: 111-115 - [c39]Derry O'Sullivan, David C. Wilson, Barry Smyth:
Using Collaborative Filtering Data in Case-Based Recommendation. FLAIRS 2002: 121-125 - 2001
- [j16]Barry Smyth, Elizabeth McKenna, Maria Angela Ferrario:
ECAI 2000. AI Commun. 14(2): 111-114 (2001) - [j15]Barry Smyth, Paul Cotter:
Personalized Electronic Program Guides for Digital TV. AI Mag. 22(2): 89-98 (2001) - [j14]Elizabeth McKenna, Barry Smyth:
An Interactive Visualisation Tool for Case-Based Reasoners. Appl. Intell. 14(1): 95-114 (2001) - [j13]David B. Leake, Barry Smyth, David C. Wilson, Qiang Yang:
Introduction to the Special Issue on Maintaining Case-Based Reasoning Systems. Comput. Intell. 17(2): 193-195 (2001) - [j12]Barry Smyth, Elizabeth McKenna:
Competence Models and the Maintenance Problem. Comput. Intell. 17(2): 235-249 (2001) - [j11]Maria Angela Ferrario, Barry Smyth:
Distributing Case-Base Maintenance: The Collaborative Maintenance Approach. Comput. Intell. 17(2): 315-330 (2001) - [j10]Barry Smyth, Elizabeth McKenna:
Competence guided incremental footprint-based retrieval. Knowl. Based Syst. 14(3-4): 155-161 (2001) - [j9]Mehmet H. Göker, Barry Smyth:
Delivering Personalized Information: What You Get Is What You Want. Künstliche Intell. 15(1): 17-21 (2001) - [j8]Padraig Cunningham, Ralph Bergmann, Sascha Schmitt, Ralph Traphöner, Sean Breen, Barry Smyth:
WEBSELL: Intelligent Sales Assistants for the World Wide Web. Künstliche Intell. 15(1): 28-32 (2001) - [j7]Paul Cotter, Barry Smyth:
Personalised Electronic Programmes Guides - Enabling Technologies for Digital TV. Künstliche Intell. 15(1): 37-40 (2001) - [j6]Barry Smyth, Mark T. Keane, Padraig Cunningham:
Hierarchical Case-Based Reasoning Integrating Case-Based and Decompositional Problem-Solving Techniques for Plant-Control Software Design. IEEE Trans. Knowl. Data Eng. 13(5): 793-812 (2001) - [c38]Aidan Finn, Nicholas Kushmerick, Barry Smyth:
Fact or Fiction: Content Classification for Digital Libraries. DELOS 2001 - [c37]Clodagh Moriarty, Nicholas Kushmerick, Barry Smyth:
Personalised Intelligent Tutoring for Digital Libraries. DELOS 2001 - [c36]Barry Smyth:
Adventures in Personalization (Keynote Speech). DELOS 2001 - [c35]Conor Hayes, Padraig Cunningham, Barry Smyth:
A Case-Based Reasoning View of Automated Collaborative Filtering. ICCBR 2001: 234-248 - [c34]Barry Smyth, Paul McClave:
Similarity vs. Diversity. ICCBR 2001: 347-361 - [c33]Lorraine McGinty, Barry Smyth:
Collaborative Case-Based Reasoning: Applications in Personalised Route Planning. ICCBR 2001: 362-376 - [p1]Mark T. Keane, Barry Smyth, Joseph O'Sullivan:
Dynamic similarity: a processing perspective on similarity. Similarity and Categorization 2001 - 2000
- [j5]Barry Smyth, Paul Cotter:
Enabling technologies: a personalized television listings service. Commun. ACM 43(8): 107-111 (2000) - [j4]Barry Smyth, Paul Cotter:
A personalised TV listings service for the digital TV age. Knowl. Based Syst. 13(2-3): 53-59 (2000) - [c32]Paul Cotter, Barry Smyth:
PTV: Intelligent Personalised TV Guides. AAAI/IAAI 2000: 957-964 - [c31]Keith Bradley, Rachael Rafter, Barry Smyth:
Case-Based User Profiling for Content Personalisation. AH 2000: 62-72 - [c30]Paul Cotter, Barry Smyth:
WAP ing the Web: Content Personalisation for WAP-Enabled Devices. AH 2000: 98-108 - [c29]Maria Angela Ferrario, Keith Waters, Barry Smyth:
Collaborative Maintenance in ULYSSES. AH 2000: 301-304 - [c28]Rachael Rafter, Keith Bradley, Barry Smyth:
Automated Collaborative Filtering Applications for Online Recruitment Services. AH 2000: 363-368 - [c27]Elizabeth McKenna, Barry Smyth:
Competence-guided Editing Methods for Lazy Learning. ECAI 2000: 60-64 - [c26]Barry Smyth, Mark Mullins, Elizabeth McKenna:
Picture Perfect: Visualisation Techniques for Case-based Reasoning. ECAI 2000: 65-72 - [c25]Paul Cotter, Barry Smyth:
Personalisation Technologies for the Digital TV World. ECAI 2000: 701-705 - [c24]Barry Smyth, Elizabeth McKenna:
An Efficient and Effective Procedure for Updating a Competence Model for Case-Based Reasoners. ECML 2000: 357-368 - [c23]Barry Smyth:
Competence Model and Their Applications. EWCBR 2000: 1-2 - [c22]Elizabeth McKenna, Barry Smyth:
Competence-Guided Case-Base Editing Techniques. EWCBR 2000: 186-197 - [c21]Maria Angela Ferrario, Barry Smyth:
Collaborative Maintenance - A Distributed, Interactive Case-Base Maintenance Strategy. EWCBR 2000: 393-405 - [c20]Lorraine McGinty, Barry Smyth:
Personalized Route Planning: A Case-Based Approach. EWCBR 2000: 431-442 - [c19]Cara O'Boyle, Barry Smyth, Franz Geiselbrechtinger:
An Automatic Configuration System for Handwriting Recognition Problems. IEA/AIE 2000: 512-521 - [c18]Lorraine McGinty, Barry Smyth:
TURAS: A Personalised Route Planning System. PRICAI 2000: 791
1990 – 1999
- 1999
- [c17]Barry Smyth, Elizabeth McKenna:
Building Compact Competent Case-Bases. ICCBR 1999: 329-342 - [c16]Barry Smyth, Elizabeth McKenna:
Footprint-Based Retrieval. ICCBR 1999: 343-357 - [c15]Barry Smyth, Paul Cotter:
Surfing the Digital Wave. ICCBR 1999: 561-571 - 1998
- [j3]Barry Smyth, Mark T. Keane:
Adaptation-Guided Retrieval: Questioning the Similarity Assumption in Reasoning. Artif. Intell. 102(2): 249-293 (1998) - [j2]Padraig Cunningham, Barry Smyth, Andrea Bonzano:
An incremental retrieval mechanism for case-based electronic fault diagnosis. Knowl. Based Syst. 11(3-4): 239-248 (1998) - [c14]Barry Smyth, Elizabeth McKenna:
Modelling the Competence of Case-Bases. EWCBR 1998: 208-220 - [c13]Wolfgang Wilke, Barry Smyth, Padraig Cunningham:
Using Configuration Techniques for Adaptation. Case-Based Reasoning Technology 1998: 139-168 - [c12]Barry Smyth:
Case-Base Maintenance. IEA/AIE (Vol. 2) 1998: 507-516 - [e1]Barry Smyth, Padraig Cunningham:
Advances in Case-Based Reasoning, 4th European Workshop, EWCBR-98, Dublin, Ireland, September 1998, Proceedings. Lecture Notes in Computer Science 1488, Springer 1998, ISBN 3-540-64990-5 [contents] - 1997
- [c11]Andrea Bonzano, Padraig Cunningham, Barry Smyth:
Learning Feature Weights for CBR: Global versus Local. AI*IA 1997: 417-426 - [c10]Andrea Bonzano, Padraig Cunningham, Barry Smyth:
Using Introspective Learning to Improve Retrieval in CBR: A Case Study in Air Traffic Control. ICCBR 1997: 291-302 - 1996
- [j1]Barry Smyth, Mark T. Keane:
Using adaptation knowledge to retrieve and adapt design cases. Knowl. Based Syst. 9(2): 127-135 (1996) - [c9]Barry Smyth, Padraig Cunningham:
The Utility Problem Analysed: A Case-Based Reasoning Perspective. EWCBR 1996: 392-399 - 1995
- [c8]Barry Smyth, Mark T. Keane:
Experiments On Adaptation-Guided Retrieval In Case-Based Design. ICCBR 1995: 313-324 - [c7]Padraig Cunningham, Barry Smyth, Neil J. Hurley:
On the use of CBR in optimisation problems such as the TSP. ICCBR 1995: 401-410 - [c6]Kathleen Hanney, Mark T. Keane, Barry Smyth, Padraig Cunningham:
Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies. ICCBR 1995: 461-470 - [c5]Barry Smyth, Mark T. Keane:
Remembering To Forget: A Competence-Preserving Case Deletion Policy for Case-Based Reasoning Systems. IJCAI 1995: 377-383 - 1994
- [c4]Padraig Cunningham, Barry Smyth, Tony Veale:
On the Limitations of Memory Based Reasoning. EWCBR 1994: 75-86 - [c3]Barry Smyth, Padraig Cunningham:
A Comparison of Incremental Case-Based Reasoning and Inductive Learning. EWCBR 1994: 151-164 - 1993
- [c2]Barry Smyth, Mark T. Keane:
Retrieving Adaptable Cases: The Role of Adaptation Knowledge in Case Retrieval. EWCBR 1993: 209-220 - 1992
- [c1]Barry Smyth, Padraig Cunningham:
Déjà Vu: A Hierarchical Case-Based Reasoning System for Software Design. ECAI 1992: 587-589
Coauthor Index
aka: Pádraig Cunningham
aka: Neil Hurley
aka: Khalil Ibrahim Muhammad
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