Personalized Recommendation Based on Reviews and Ratings Alleviating the Sparsity Problem of Collaborative Filtering.
Jingnan XuXiaolin ZhengWeifeng DingPublished in: ICEBE (2012)
Keyphrases
- collaborative filtering
- data sparsity
- personalized recommendation
- rating matrix
- context aware recommendation
- user profiles
- recommender systems
- cross domain collaborative filtering
- information filtering
- matrix factorization
- user item rating
- tensor factorization
- user specific
- product recommendation
- cold start problem
- collaborative filtering algorithms
- user preferences
- user modeling
- cold start
- user ratings
- online reviews
- netflix prize
- pearson correlation coefficient
- recommendation systems
- sparse representation
- collaborative recommendation
- implicit feedback
- recommendation algorithms
- e learning
- user model
- latent factor models
- high dimensional
- user interests
- collaborative filtering recommender systems
- collaborative filtering recommendation algorithm
- product features
- rating prediction
- product reviews
- context aware