Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations.
Xing ZhaoZiwei ZhuYin ZhangJames CaverleePublished in: WSDM (2020)
Keyphrases
- recommender systems
- collaborative filtering
- user ratings
- user preferences
- cold start problem
- cold start
- netflix prize
- matrix factorization
- personalized recommendation
- product recommendation
- implicit feedback
- information filtering
- active user
- collaborative filtering algorithms
- recommendation algorithms
- estimation accuracy
- user model
- latent variables
- peer to peer
- accurate estimation
- recommendation systems
- estimation algorithm
- rating prediction
- web search