Leveraging prior ratings for recommender systems in e-commerce.
Guibing GuoJie ZhangDaniel ThalmannNeil Yorke-SmithPublished in: Electron. Commer. Res. Appl. (2014)
Keyphrases
- recommender systems
- collaborative filtering
- product recommendation
- cold start problem
- user preferences
- netflix prize
- user ratings
- cold start
- collaborative filtering algorithms
- personalized recommendation
- matrix factorization
- rating prediction
- recommendation algorithms
- implicit feedback
- active user
- electronic commerce
- latent factor models
- information filtering
- prior knowledge
- recommendation systems
- trust aware
- collaborative filtering recommender systems
- reputation models
- data mining
- data sparsity
- prior information
- user behavior
- user profiles
- user modeling
- transfer learning
- item based collaborative filtering
- rating matrix
- user profiling
- collaborative recommendation
- product information
- user similarity
- information overload
- search engine