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- short-paperMarch 2024
SIRUP: Search-based Book Recommendation Playground
WSDM '24: Proceedings of the 17th ACM International Conference on Web Search and Data MiningPages 1062–1065https://doi.org/10.1145/3616855.3635692This work presents a playground platform to demonstrate and interactively explore a suite of methods for utilizing user review texts to generate book recommendations. The focus is on search-based settings where the user provides situative context by ...
- research-articleJanuary 2024
Analysis of Library Retrieval Design Based on Knowledge Graph and User Profile
AAIA '23: Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and ApplicationsPages 128–131https://doi.org/10.1145/3603273.3632220With the continuous development of information technology, people's requirements for book retrieval are becoming higher and higher. How to fully utilize a large amount of information, effectively mine out potentially valuable information, and improve the ...
- ArticleAugust 2023
How Does the System Perceive Me? — A Transparent and Tunable Recommender System
AbstractWe present a transparent and tunable recommender system using neural networks in which the user’s preference for each tag calculated from his or her rating history is extracted as a user feature, and latent knowledge about the relationship between ...
- research-articleJanuary 2023
Privacy-preserving global user profile construction through federated learning
International Journal of Computational Science and Engineering (IJCSE), Volume 26, Issue 2Pages 199–209https://doi.org/10.1504/ijcse.2023.129739User profiles are derived from big data left on the internet through machine learning algorithms. However, threats of data privacy leakages restrict access to the data in centralised machine learning. Federated learning (FL) can avoid privacy leakage ...
- research-articleDecember 2022
Learn2Sum: A New Approach to Unsupervised Text Summarization Based on Topic Modeling
MEDES '22: Proceedings of the 14th International Conference on Management of Digital EcoSystemsPages 136–143https://doi.org/10.1145/3508397.3564853Due to the enormous volume of data on the web, it is hard for the user to retrieve effective and useful information within the right time. Thus, it has become a need to generate a brief summary from a large amount of textual data according to the user ...
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- ArticleMarch 2022
Adaptation to TV Delays Based on the User Behaviour towards a Cheating-Free Second Screen Entertainment
AbstractRecent advances in technology created new opportunities to enhance TV personalization, providing viewers with individualized ways to watch TV and to interact with its content. Second screen applications are promising vehicles to enhance the ...
- research-articleNovember 2021
Social Context-aware Person Search in Videos via Multi-modal Cues
ACM Transactions on Information Systems (TOIS), Volume 40, Issue 3Article No.: 52, Pages 1–25https://doi.org/10.1145/3480967Person search has long been treated as a crucial and challenging task to support deeper insight in personalized summarization and personality discovery. Traditional methods, e.g., person re-identification and face recognition techniques, which profile ...
- research-articleOctober 2021
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding
CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge ManagementPages 1008–1017https://doi.org/10.1145/3459637.3482310Nowadays, it is common for a person to possess different identities on multiple social platforms. Social network alignment aims to match the identities that from different networks. Recently, unsupervised network alignment methods have received ...
- research-articleOctober 2021
DP-UserPro: differentially private user profile construction and publication
Frontiers of Computer Science: Selected Publications from Chinese Universities (FCS), Volume 15, Issue 5https://doi.org/10.1007/s11704-020-9462-9AbstractUser profiles are widely used in the age of big data. However, generating and releasing user profiles may cause serious privacy leakage, since a large number of personal data are collected and analyzed. In this paper, we propose a differentially ...
- research-articleJanuary 2021
A method of query expansion based on topic models and user profile for search in folksonomy
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 41, Issue 1Pages 1701–1711https://doi.org/10.3233/JIFS-210508With the development of the web 2.0 communities, information retrieval has been widely applied based on the collaborative tagging system. However, a user issues a query that is often a brief query with only one or two keywords, which leads to a series of ...
- research-articleSeptember 2020
Research on User Behavior Prediction and Profiling Method Based on Trajectory Information
Automatic Control and Computer Sciences (ACCS), Volume 54, Issue 5Pages 456–465https://doi.org/10.3103/S0146411620050065Abstract—Aiming at the need to discover user behavior characteristics and knowledge from moving trajectory data, a user behavior profiling method based on moving trajectory information was proposed. Firstly, the trajectory coordinates were preprocessed to ...
- research-articleJanuary 2020
Web service selection based on QoS and user profile
International Journal of Computational Intelligence Studies (IJCIS), Volume 9, Issue 1-2Pages 68–84https://doi.org/10.1504/ijcistudies.2020.106490The web services are from different sources, heterogeneous, and of large volume. The user is in a crucial situation to select the best web services. The web service selection process aims to discovery the desired web services; as it allows to select the ...
- research-articleOctober 2019
Social networks fake profiles detection based on account setting and activity
SCA '19: Proceedings of the 4th International Conference on Smart City ApplicationsArticle No.: 37, Pages 1–5https://doi.org/10.1145/3368756.3369015Social networks have become popular due to the ability to connect people around the world and share media (videos, photos, and communications). The present paper focuses on identifying fake profiles in social media. The approaches to identifying fake ...
- research-articleAugust 2019
Two-Step User Profiling Framework Based on Terminal-cloud Collaboration
ICBDT '19: Proceedings of the 2nd International Conference on Big Data TechnologiesPages 262–267https://doi.org/10.1145/3358528.3358554With the increasing popularity of mobile phones, constructing user profile from the usage of mobile phone becomes a critical research interest. Previously, the key of these researches was the improvement of the accuracy of user profiling algorithms. ...
- tutorialJuly 2019
Social User Interest Mining: Methods and Applications
KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data MiningPages 3235–3236https://doi.org/10.1145/3292500.3332279he abundance of user generated content on social networks pro-vides the opportunity to build models that are able to accurately and effectively extract, mine and predict users' interests with the hopes of enabling more effective user engagement, better ...
- tutorialJuly 2019
Extracting, Mining and Predicting Users' Interests from Social Networks
SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information RetrievalPages 1407–1408https://doi.org/10.1145/3331184.3331383The abundance of user generated content on social networks provides the opportunity to build models that are able to accurately and effectively extract, mine and predict users' interests with the hopes of enabling more effective user engagement, better ...
- research-articleJune 2019
Reading News with a Purpose: Explaining User Profiles for Self-Actualization
- Emily Sullivan,
- Dimitrios Bountouridis,
- Jaron Harambam,
- Shabnam Najafian,
- Felicia Loecherbach,
- Mykola Makhortykh,
- Domokos Kelen,
- Daricia Wilkinson,
- David Graus,
- Nava Tintarev
UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and PersonalizationPages 241–245https://doi.org/10.1145/3314183.3323456Personalized content provided by recommender systems is an integral part of the current online news reading experience. However, news recommender systems are criticized for their 'black-box' approach to data collection and processing, and for their lack ...
- research-articleMarch 2019
A personalized e-Gov framework to bridge silos between Moroccan administrations
ArabWIC 2019: Proceedings of the ArabWIC 6th Annual International Conference Research TrackArticle No.: 18, Pages 1–7https://doi.org/10.1145/3333165.3333183E-Government plays a crucial role in modernizing public sectors and developing social and economic life of citizens. To raise these challenges, our country has adopted since 2009 the e-Moroccan strategy that aims to facilitate the access and the use of ...
- research-articleDecember 2018
State of the art on mechanisms for personalization of information
ICSENT 2018: Proceedings of the 7th International Conference on Software Engineering and New TechnologiesArticle No.: 10, Pages 1–4https://doi.org/10.1145/3330089.3330106With the exponential growth in the volume of data and the heterogeneity of information, users are facing increasing difficulties in identifying relevant information, irrelevant information, or even noise. To overcome these issues, mechanisms for ...
- posterAugust 2018
A clustering approach to infer Wikipedia contributors' profile
OpenSym '18: Proceedings of the 14th International Symposium on Open CollaborationArticle No.: 24, Pages 1–5https://doi.org/10.1145/3233391.3233968Recent studies have improved our knowledge about the different types or profiles of online contributors, from casual to very involved ones, through focused people. But they use very complex methodologies, making their replication by the practitioners ...