Abstract is missing.
- A Common Approach for Consumer and Provider Fairness in RecommendationsDimitris Sacharidis, Kyriakos Mouratidis, Dimitrios Kleftogiannis. 1-5 [doi]
- BERT, ELMo, USE and InferSent Sentence Encoders: The Panacea for Research-Paper Recommendation?Hebatallah A. Mohamed Hassan, Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, Jöran Beel. 6-10 [doi]
- Combining Context Features in Sequence-Aware Recommender SystemsSarai Mizrachi, Pavel Levin. 11-15 [doi]
- Context-Regularized Neural Collaborative Filtering for Game App RecommendationShonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima. 16-20 [doi]
- Data Masking for Recommender Systems: Prediction Performance and Rating HidingManel Slokom, Martha Larson, Alan Hanjalic. 21-25 [doi]
- Data Pruning in Recommender Systems Research: Best-Practice or Malpractice?Jöran Beel, Victor Brunel. 26-30 [doi]
- How Long to Stay Where? On the Amount of Item Consumption in Travel RecommendationLinus W. Dietz, Wolfgang Wörndl. 31-35 [doi]
- Latent Modeling of Unexpectedness for RecommendationsPan Li, Alexander Tuzhilin. 36-40 [doi]
- Negative-Aware Collaborative FilteringSheng-Chieh Lin, Yu-Neng Chuang, Sheng-Fang Yang, Ming-Feng Tsai, Chuan-Ju Wang. 41-45 [doi]
- PQ-VAE: Efficient Recommendation Using Quantized EmbeddingsJan Van Balen, Mark Levy. 46-50 [doi]
- Towards a Taxonomy of User Feedback Intents for Conversational RecommendationsWanling Cai, Li Chen. 51-55 [doi]
- Tripartite Heterogeneous Graph Propagation for Large-scale Social RecommendationKyung Min Kim, Dong-Hyun Kwak, Hanock Kwak, Young-Jin Park, Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, Jung-Woo Ha. 56-60 [doi]
- With a Little Help from my Friends: Use of Recommendations at SchoolMaria Soledad Pera, Emiliana Murgia, Monica Landoni, Theo Huibers. 61-65 [doi]