Supervised-Topic-Model-Based Hybrid Filtering for Recommender Systems.
Mimu KawaiTakayuki ShiohamaHiroyuki SatoPublished in: ACIT/CSII/BCD (2017)
Keyphrases
- recommender systems
- information filtering
- collaborative filtering
- user interests
- matrix factorization
- learning algorithm
- adaptive filtering
- supervised learning
- content based filtering
- information overload
- hybrid recommendation
- fully unsupervised
- recommendation systems
- feature selection
- unsupervised learning
- user profiles
- topic models
- user preferences
- user modeling
- product recommendation
- user profiling
- image filtering
- semi supervised
- filtering algorithm
- news articles
- data sets
- hybrid learning
- recommendation algorithms
- topic modeling
- user model
- user interaction
- user feedback