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GLOMA: Embedding global information in local matrix approximation models for collaborative filtering

C Chen, D Li, Q Lv, J Yan, L Shang… - Proceedings of the AAAI …, 2017 - ojs.aaai.org
Recommender systems have achieved great success in recent years, and matrix
approximation (MA) is one of the most popular techniques for collaborative filtering (CF) …
被引用次数：24 相关文章

GLOMA: Embedding global information in local matrix approximation models for collaborative filtering

C Chen, D Li, Q Lv, J Yan, L Shang… - AAAI Conference on …, 2017 - research.ibm.com
Recommender systems have achieved great success in recent years, and matrix
approximation (MA) is one of the most popular techniques for collaborative filtering (CF) …

GLOMA: embedding global information in local matrix approximation models for collaborative filtering

C Chen, D Li, Q Lv, J Yan, L Shang… - Proceedings of the Thirty …, 2017 - dl.acm.org
Recommender systems have achieved great success in recent years, and matrix
approximation (MA) is one of the most popular techniques for collaborative filtering (CF) …
[PDF] aaai.org

[PDF][PDF] GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering

C Chen, D Li, Q Lv, J Yan, L Shang, SM Chu - 2017 - cdn.aaai.org
Recommender systems have achieved great success in recent years, and matrix
approximation (MA) is one of the most popular techniques for collaborative filtering (CF) …
[PDF] recmind.cn

[PDF][PDF] GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering

C Chen, D Li, Q Lv, J Yan31, L Shang, SM Chu - 2017 - recmind.cn
Recommender systems have achieved great success in recent years, and matrix
approximation (MA) is one of the most popular techniques for collaborative filtering (CF) …