Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis-Reference-Cited by-同舟云学术

Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis

Published:2019-07-25 Issue: Volume: Page:
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Container-title:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Cheng Weiyu¹,Shen Yanyan¹,Huang Linpeng¹,Zhu Yanmin¹

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

STSCM

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292500.3330857

Reference40 articles.

1. Explainable Matrix Factorization for Collaborative Filtering

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3. Mining association rules between sets of items in large databases

4. Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation

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