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Session 3C: Recommendation and Collaborative Filtering

First presentation

Chair: Jeffrey Chan

Start: 2021-11-03 10:40

End: 2021-11-03 11:50

Second presentation

Chair: Vito Walter Anelli

Start: 2021-11-03 22:40

End: 2021-11-03 23:50

Papers in this session

rgfp1245 A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network
afp1326 CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation
rgfp0348 How Powerful is Graph Convolution for Recommendation?
rgfp2025 LT-OCF: Learnable-Time ODE-based Collaborative Filtering
rgfp1646 Social Recommendation with Self-Supervised Metagraph Informax Network
rgfp0028 UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation
rgfp0966 Incremental Graph Convolutional Network for Collaborative Filtering
rgfp0900 Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation
rgfp0027 SimpleX: A Simple and Strong Baseline for Collaborative Filtering
rgfp1827 Disentangling Preference Representations for Recommendation Critiquing with ß-VAE
  • Papers highlighted in green indicate the paper is selected for a live spotlight presentation.
  • Papers highlighted in gold indicate the paper has been shortlisted for a best paper award (and will also be presented live).
This programme is indicative. Once registered, please refer to the session programme on Underline.