recsys 2019 论文列表
Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019.
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With a Little Help from my Friends: Use of Recommendations at School.
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation.
Towards a Taxonomy of User Feedback Intents for Conversational Recommendations.
PQ-VAE: Efficient Recommendation Using Quantized Embeddings.
Negative-Aware Collaborative Filtering.
Latent Modeling of Unexpectedness for Recommendations.
How Long to Stay Where? On the Amount of Item Consumption in Travel Recommendation.
Data Pruning in Recommender Systems Research: Best-Practice or Malpractice?
Data Masking for Recommender Systems: Prediction Performance and Rating Hiding.
Context-Regularized Neural Collaborative Filtering for Game App Recommendation.
Combining Context Features in Sequence-Aware Recommender Systems.
BERT, ELMo, USE and InferSent Sentence Encoders: The Panacea for Research-Paper Recommendation?
A Common Approach for Consumer and Provider Fairness in Recommendations.
