Local Ensemble across Multiple Sources for Collaborative Filtering.
Jing ZhengFuzhen ZhuangChuan ShiPublished in: CIKM (2017)
Keyphrases
- multiple sources
- collaborative filtering
- recommender systems
- user interests
- matrix factorization
- ensemble learning
- data sources
- multi source
- neural network
- user preferences
- ensemble methods
- training data
- random forests
- random forest
- learning algorithm
- classifier ensemble
- geospatial data
- deal with information overload
- data sparsity
- personalized recommendation
- recommendation systems
- training set
- user ratings
- heterogeneous sources
- cold start problem
- data from multiple sources
- multiple information sources
- viewpoint
- database
- information retrieval
- web page recommendation