Exploiting interactions of review text, hidden user communities and item groups, and time for collaborative filtering.
Yinqing XuQian YuWai LamTianyi LinPublished in: Knowl. Inf. Syst. (2017)
Keyphrases
- collaborative filtering
- user communities
- user preferences
- rating prediction
- collaborative filtering recommendation algorithm
- recommender systems
- making recommendations
- user ratings
- personalized recommendation
- item recommendation
- user profiles
- matrix factorization
- pearson correlation coefficient
- cold start problem
- information retrieval
- latent factor models
- digital libraries
- cold start
- hybrid recommendation
- database
- data sparsity
- text mining
- end users
- latent factors
- collaborative filtering algorithms
- user similarity
- data mining
- website
- active user
- recommendation algorithms
- web pages
- social networks
- recommendation systems
- learning objects