FTM: Recommending the Right Items for User Temporal Interests with Matrix Factorization through Topic Model.
Yanmin ShangKe-Fu XuYi HanChuang ZhangPublished in: DSC (2016)
Keyphrases
- matrix factorization
- collaborative filtering
- topic models
- recommender systems
- topic modeling
- latent factors
- user interests
- item recommendation
- personalized recommendation
- user profiles
- latent dirichlet allocation
- user preferences
- user ratings
- factorization methods
- negative matrix factorization
- latent factor models
- nonnegative matrix factorization
- user feedback
- factor analysis
- implicit feedback
- missing data
- latent variables
- latent topics
- variational inference
- text mining
- recommendation systems
- text documents
- transfer learning
- co occurrence
- probabilistic model
- relevance feedback
- social networks
- image classification
- support vector