Considering Rating as Probability Distribution of Attitude in Recommender System.
Xiangyu ZhaoZhendong NiuWentao WangKe NiuWu YuanPublished in: WAIM Workshops (2014)
Keyphrases
- recommender systems
- probability distribution
- collaborative filtering
- random variables
- user preferences
- bayesian networks
- recommendation quality
- personalized recommendation
- collaborative filtering recommender systems
- rating prediction
- information filtering
- user interests
- matrix factorization
- trust aware
- recommendation systems
- information overload
- netflix prize
- data sparsity
- probability models
- user feedback
- attitudes toward
- cold start
- collaborative filtering algorithms
- probability measure
- conditional independence
- product recommendation
- collaborative recommendation
- user model
- user behavior
- user profiles
- user generated content
- information systems