A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks
Author:
Affiliation:
1. Huawei Noah's Ark Lab/Montreal Reseach Center, Montreal, Canada
2. Huawei Noah's Ark Lab, Shenzhen, China
3. Huawei Distributed and Parallel Software Lab, Hangzhou, China
4. McGill University, Montreal, Canada
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394486.3403254
Reference39 articles.
1. Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
2. Representation Learning for Attributed Multiplex Heterogeneous Network
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