Session-Based Social Recommendation via Dynamic Graph Attention Networks
Author:
Affiliation:
1. Peking University, Beijing, China
2. University of California, Berkeley, Los Angeles, CA, USA
3. Mila & HEC Montreal, Montreal, Canada
Funder
Beijing Municipal Commission of Science and Technology
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3289600.3290989
Reference41 articles.
1. Latent Cross
2. A Probabilistic Model for Using Social Networks in Personalized Item Recommendation
3. Dynamic Poisson Factorization
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