Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework
Author:
Affiliation:
1. Tsinghua University, Beijing, China
2. Kuaishou Inc., Hangzhou, Zhejiang, China
3. Kuaishou Inc., Beijing, China
4. Unaffiliated, Beijing, China
Funder
Kuaishou Inc
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589334.3645577
Reference62 articles.
1. Boxe: A box embedding model for knowledge base completion;Abboud Ralph;Advances in Neural Information Processing Systems,2020
2. Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
3. Is Yelp Actually Cleaning Up the Restaurant Industry? A Re-Analysis on the Relative Usefulness of Consumer Reviews
4. Optimal Greedy Diversity for Recommendation;Ashkan Azin;IJCAI,2015
5. The use of MMR, diversity-based reranking for reordering documents and producing summaries
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