Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations-Reference-Cited by-同舟云学术

Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations

Published:2020-01-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th International Conference on Web Search and Data Mining
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Author:

Zhao Xing¹,Zhu Ziwei¹,Zhang Yin¹,Caverlee James¹

Affiliation:

1. Texas A&M University, College Station, TX, USA

Funder

Defense Advanced Research Projects Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3336191.3371810

Reference39 articles.

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3. ITEM2VEC: Neural item embedding for collaborative filtering

4. Beyond Globally Optimal

5. Design of a recommender system for mobile tourism multimedia selection

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