World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
9434
World Ranking
6465
National Ranking
390

Overview

Joemon M. Jose is affiliated with the University of Glasgow in the United Kingdom and has a research focus concentrated in the field of Computer Science. Their scholarly work spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Signal Processing.

Their research topics encompass Recommender Systems and Techniques, Advanced Bandit Algorithms Research, Topic Modeling, Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques, Emotion and Mood Recognition, and Face and Expression Recognition.

Joemon M. Jose has contributed to a number of recent publications, including:

  • Learning Robust Recommenders through Cross-Model Agreement (2022), Proceedings of the ACM Web Conference 2022
  • Supervised Advantage Actor-Critic for Recommender Systems (2022), Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • Cross-modal Semantic Enhanced Interaction for Image-Sentence Retrieval (2023), 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 3SHNet: Boosting image-sentence retrieval via visual semantic-spatial self-highlighting (2024), Information Processing & Management
  • Self-Supervised Reinforcement Learning for Recommender Systems (2020), arXiv (Cornell University)

The scholar frequently publishes in venues such as arXiv (Cornell University), ACM Transactions on Intelligent Systems and Technology, Proceedings of the ACM Web Conference, Proceedings of the ACM International Conference on Web Search and Data Mining, and the IEEE/CVF Winter Conference on Applications of Computer Vision.

They collaborate regularly with several coauthors, including Xuri Ge, Ioannis Arapakis, Xin Xin, Alexandros Karatzoglou, and Songpei Xu.

Joemon M. Jose has a book chapter contribution titled "Advances in Information Retrieval" published in 2020 by Springer Science+Business Media.

Best Publications

  • On social networks and collaborative recommendation

    Ioannis Konstas;Vassilios Stathopoulos;Joemon M. Jose

  • A Simple Convolutional Generative Network for Next Item Recommendation

    Fajie Yuan;Alexandros Karatzoglou;Ioannis Arapakis;Joemon M. Jose

  • How users assess web pages for information seeking

    Anastasios Tombros;Ian Ruthven;Joemon M. Jose

  • Building a large-scale corpus for evaluating event detection on twitter

    Andrew J. McMinn;Yashar Moshfeghi;Joemon M. Jose

  • Self-Supervised Reinforcement Learning for Recommender Systems

    Xin Xin;Alexandros Karatzoglou;Ioannis Arapakis;Joemon M. Jose

  • Personalizing web search with folksonomy-based user and document profiles

    David Vallet;Iván Cantador;Joemon M. Jose

  • A task-oriented study on the influencing effects of query-biased summarisation in web searching

    Ryen W. White;Joemon M. Jose;Ian Ruthven

  • Categorising social tags to improve folksonomy-based recommendations

    Iván Cantador;Ioannis Konstas;Joemon M. Jose

  • Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation

    Xin Xin;Xiangnan He;Yongfeng Zhang;Yongdong Zhang

  • Evaluating implicit feedback models using searcher simulations

    Ryen W. White;Ian Ruthven;Joemon M. Jose;C. J. Van Rijsbergen

  • Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes

    Ryen W. White;Ian Ruthven;Joemon M. Jose

  • The Use of Implicit Evidence for Relevance Feedback in Web Retrieval

    Ryen White;Ian Ruthven;Joemon M. Jose

  • A study of factors affecting the utility of implicit relevance feedback

    Ryen W. White;Ian Ruthven;Joemon M. Jose

  • Affective feedback: an investigation into the role of emotions in the information seeking process

    Ioannis Arapakis;Joemon M. Jose;Philip D. Gray

  • User engagement in online News: Under the scope of sentiment, interest, affect, and gaze

    Ioannis Arapakis;Mounia Lalmas;Berkant Barla Cambazoglu;Mari-Carmen Marcos

  • Looking at the viewer: analysing facial activity to detect personal highlights of multimedia contents

    Hideo Joho;Jacopo Staiano;Nicu Sebe;Joemon M. Jose

  • Handling data sparsity in collaborative filtering using emotion and semantic based features

    Yashar Moshfeghi;Benjamin Piwowarski;Joemon M. Jose

  • Text segmentation via topic modeling: an analytical study

    Hemant Misra;François Yvon;Joemon M. Jose;Olivier Cappe

  • Spatial querying for image retrieval: a user-oriented evaluation

    Joemon M. Jose;Jonathan Furner;David J. Harper

  • "Nobody comes here anymore, it's too crowded"; Predicting Image Popularity on Flickr

    Philip J. McParlane;Yashar Moshfeghi;Joemon M. Jose

  • LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates

    Fajie Yuan;Guibing Guo;Joemon M. Jose;Long Chen

Frequent Co-Authors

Ian Ruthven
Ian Ruthven University of Strathclyde
Ryen W. White
Ryen W. White Microsoft (United States)
C. J. van Rijsbergen
C. J. van Rijsbergen University of Glasgow
Xiangnan He
Xiangnan He University of Science and Technology of China
Iván Cantador
Iván Cantador Autonomous University of Madrid
Adam Jatowt
Adam Jatowt University of Innsbruck
Weinan Zhang
Weinan Zhang Shanghai Jiao Tong University
Iadh Ounis
Iadh Ounis University of Glasgow
Alexandros Karatzoglou
Alexandros Karatzoglou Google (United States)

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