The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
46th European Conference on Information Retrieval Springer Glasgow, Scotland
Differential Privacy in Collaborative Filtering Recommender Systems: A Review
Frontiers in Big Data - Recommender Systems Frontiers
ReuseKNN: Neighborhood Reuse for Differentially-Private KNN-Based Recommendations
ACM Transactions on Intelligent Systems and Technology Association for Computing Machinery NY
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music
International Conference on Advances in Social Network Analysis and Mining/MSNDS Workshop (ASONAM'2021
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Ranker
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieva SIGIR ACM Online
Psychology-informed Recommender System
Foundations and Trends in Information Retrieval FnT Now publisher
Support the Underground: Characteristics of Beyond-Mainstream Music Listeners. EPJ Data Scienc
EPJ Data Science Springer
Listener Modeling and Context-Aware Music Recommendation Based on Country Archetype
Frontiers in AI Frontiers
Modeling Popularity and Temporal Drift of Music Genre Preferences
Transactions of the International Society for Music Information Retrieval (TISMIR TISMIR Ubiquity Press London