An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering-Reference-Cited by-同舟云学术

An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering

Published:2018-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Krishnan Adit¹,Sharma Ashish²,Sankar Aravind¹,Sundaram Hari¹

Affiliation:

1. University of Illinois at Urbana-Champaign, Urbana, IL, USA

2. Microsoft Research, Bangalore, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3269206.3269264

Reference16 articles.

1. Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680. Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680.

2. Neural Collaborative Filtering

3. Collaborative Filtering for Implicit Feedback Datasets

4. Matrix Factorization Techniques for Recommender Systems

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CrossGCL: Cross-pairwise graph contrastive learning for unbiased recommendation;Knowledge-Based Systems;2024-07

2. Fusion of single-domain contrastive embedding and cross-domain graph collaborative filtering network for recommendation systems;International Journal of Data Science and Analytics;2024-05-24

3. PopGR: Popularity reweighting for debiasing in group recommendation;World Wide Web;2024-05-17

4. InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization;Proceedings of the ACM Web Conference 2024;2024-05-13

5. Efficient and Flexible Long-Tail Recommendation Using Cosine Patterns;INFORMS Journal on Computing;2024-05-10