Xu L, Liu Y, Xu T, Chen E and Tang Y.
(2024). Graph Augmentation Empowered Contrastive Learning for Recommendation. ACM Transactions on Information Systems. 43:2. (1-27). Online publication date: 31-Mar-2025.
Möller L and Padó S.
(2024). Explaining Neural News Recommendation with Attributions onto Reading Histories. ACM Transactions on Intelligent Systems and Technology. 16:1. (1-25). Online publication date: 28-Feb-2025.
He P, Shi J, Ma W and Zheng X.
(2024). Broad collaborative filtering with adjusted cosine similarity by fusing matrix completion. Applied Soft Computing. 165:C. Online publication date: 1-Nov-2024.
Bauer C, Bagchi C, Hundogan O and van Es K.
(2024). Where Are the Values? A Systematic Literature Review on News Recommender Systems. ACM Transactions on Recommender Systems. 2:3. (1-40). Online publication date: 30-Sep-2024.
Wang S, Wang W, Zhang X, Wang Y, Liu H and Chen F. A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (3200-3211).
Pathak R and Spezzano F. An Empirical Analysis of Intervention Strategies’ Effectiveness for Countering Misinformation Amplification by Recommendation Algorithms. Advances in Information Retrieval. (285-301).
Wang Z and Fu X. Enhanced Semantic Matching with Topic-aware and Fine-grained User Modeling for News Recommendation. Proceedings of the 2023 2nd International Conference on Algorithms, Data Mining, and Information Technology. (189-195).
Yang J, Lin J, Gui F, Meng H, Chen H and An N. StoryLens: Personalizing News Recommendations for Older Adults with Their Life Stories. HCI International 2023 – Late Breaking Papers. (246-263).
Dokoupil P. Long-term fairness for Group Recommender Systems with Large Groups. Proceedings of the 16th ACM Conference on Recommender Systems. (724-726).
Treuillier C, Castagnos S, Dufraisse E and Brun A. Being Diverse is Not Enough: Rethinking Diversity Evaluation to Meet Challenges of News Recommender Systems. Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. (222-233).
Usman M, Ahmad F, Habib U, Cheema A, Aftab M, Ahmad M and Asghar M.
(2022). Combining Latent Factor Model for Dynamic Recommendations in Community Question Answering Forums. Computational Intelligence and Neuroscience. 2022. Online publication date: 1-Jan-2022.