Knowledge embedding towards the recommendation with sparse user-item interactions
Author:
Affiliation:
1. Fudan University, Shanghai, China
2. Fudan University, China
Funder
National Key R&D Program of China
National NSF of China
Shanghai Municipal Science and Technology Major Project
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3341161.3342876
Reference32 articles.
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2. Latent semantic models for collaborative filtering
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4. S. Aciar D. Zhang S. Simoff and J. Debenham "Recommender system based on consumer product reviews " in Proc. of WI 2006. S. Aciar D. Zhang S. Simoff and J. Debenham "Recommender system based on consumer product reviews " in Proc. of WI 2006.
5. A. Elkahky Y. Song and X. He "A multi-view deep learning approach for cross domain user modeling in recommendation systems " in Proc. of WWW 2015. A. Elkahky Y. Song and X. He "A multi-view deep learning approach for cross domain user modeling in recommendation systems " in Proc. of WWW 2015.
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