Distributed collaborative filtering with singular ratings for large scale recommendation.
Ruzhi XuShuaiqiang WangXuwei ZhengYinong ChenPublished in: J. Syst. Softw. (2014)
Keyphrases
- collaborative filtering
- recommender systems
- matrix factorization
- personalized recommendation
- user preferences
- recommendation systems
- data sparsity
- recommendation algorithms
- collaborative filtering algorithms
- latent factor models
- cold start problem
- user ratings
- data intensive
- cooperative
- real world
- product recommendation
- user interests
- making recommendations
- netflix prize
- computer networks
- cold start
- probabilistic matrix factorization
- recommendation quality
- pearson correlation coefficient
- multi agent
- distributed environment
- high scalability
- small scale
- computing environments
- online dating
- transfer learning
- user behavior
- collaborative filtering recommendation
- distributed systems
- deal with information overload
- content based filtering
- collaborative filtering recommendation algorithm
- distributed stream processing
- user based collaborative filtering
- item based collaborative filtering
- rating prediction
- implicit feedback