共 50 条
- [1] Integrating Item Based Stereotypes in Recommender Systems PROCEEDINGS OF THE 26TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'18), 2018, : 265 - 268
- [4] Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations ADVANCES IN INFORMATION RETRIEVAL, ECIR 2024, PT II, 2024, 14609 : 205 - 220
- [6] TRec: Sequential Recommender Based On Latent Item Trend Information 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
- [7] Bloofi Representation for Item/User in Recommender Systems 2019 5TH INTERNATIONAL CONFERENCE ON WEB RESEARCH (ICWR), 2019, : 67 - 73
- [8] Efficient and Fair Item Coverage in Recommender Systems 2018 16TH IEEE INT CONF ON DEPENDABLE, AUTONOM AND SECURE COMP, 16TH IEEE INT CONF ON PERVAS INTELLIGENCE AND COMP, 4TH IEEE INT CONF ON BIG DATA INTELLIGENCE AND COMP, 3RD IEEE CYBER SCI AND TECHNOL CONGRESS (DASC/PICOM/DATACOM/CYBERSCITECH), 2018, : 912 - 918
- [10] Effect of Item Representation and Item Comparison Models on Metrics for Surprise in Recommender Systems PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS (ICEIS), VOL 1, 2019, : 513 - 524