Improving Recommendation Accuracy by Considering Electronic Word-of-Mouth and the Effects of Its Propagation Using Collective Matrix Factorization.
Ren-Shiou LiuTian-Chih YangPublished in: DASC/PiCom/DataCom/CyberSciTech (2016)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- recommendation algorithms
- latent factor models
- low rank
- negative matrix factorization
- missing data
- user preferences
- factorization methods
- factor analysis
- recommendation systems
- nonnegative matrix factorization
- implicit feedback
- user ratings
- tensor factorization
- user profiles