Accelerated Online Learning for Collaborative Filtering and Recommender Systems.
Yuanxiang LiZhijie LiFeng WangLi KuangPublished in: ICDM Workshops (2014)
Keyphrases
- online learning
- recommender systems
- collaborative filtering
- matrix factorization
- e learning
- cold start problem
- data sparsity
- recommendation systems
- recommendation quality
- distance education
- user preferences
- online course
- computer mediated
- user modeling
- information overload
- item based collaborative filtering
- higher education
- probabilistic matrix factorization
- collaborative filtering recommender systems
- information filtering
- user profiles
- user interests
- movie recommendation
- netflix prize
- trust aware
- rating prediction
- personalized recommendation
- user profiling
- blended learning
- collaborative filtering algorithms
- product recommendation
- data sets
- hybrid recommendation
- active learning
- content based filtering
- latent factor models
- item recommendation
- implicit feedback
- pearson correlation coefficient
- recommendation algorithms
- association rules
- deal with information overload