Investigating accuracy-novelty performance for graph-based collaborative filtering

M Zhao, L Wu, Y Liang, L Chen, J Zhang… - Proceedings of the 45th …, 2022 - dl.acm.org
Recent years have witnessed the great accuracy performance of graph-based Collaborative
Filtering (CF) models for recommender systems. By taking the user-item interaction behavior …
被引用次数：37 相关文章

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

M Zhao, L Wu, Y Liang, L Chen, J Zhang… - arXiv preprint arXiv …, 2022 - arxiv.org
Recent years have witnessed the great accuracy performance of graph-based Collaborative
Filtering (CF) models for recommender systems. By taking the user-item interaction behavior …

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

M Zhao, L Wu, Y Liang, L Chen, J Zhang… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Recent years have witnessed the great accuracy performance of graph-based Collaborative
Filtering (CF) models for recommender systems. By taking the user-item interaction behavior …
[PDF] netease.com

[PDF][PDF] Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

M Zhao, L Wu, Y Liang, L Chen, J Zhang, Q Deng… - 2022 - crazynote.v.netease.com
Recent years have witnessed the great accuracy performance of graph-based Collaborative
Filtering (CF) models for recommender systems. By taking the user-item interaction behavior …
[PDF] le-wu.com

[PDF][PDF] Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

M Zhao, L Wu, Y Liang, L Chen, J Zhang, Q Deng… - 2022 - le-wu.com
Collaborative Filtering (CF) based recommendation assumes a user is more likely to be
interested in items that are enjoyed by other users, and has been widely studied in both …