A Feedback-corrected Collaborative Filtering for Personalized Real-world Service Recommendation.
Shuai ZhaoYang ZhangBo ChengJunliang ChenPublished in: Int. J. Comput. Commun. Control (2014)
Keyphrases
- collaborative filtering
- personalized recommendation
- real world
- recommender systems
- product recommendation
- personalized services
- user feedback
- user profiles
- recommendation systems
- context aware recommendation
- implicit feedback
- information filtering
- user preferences
- collaborative filtering recommendation
- matrix factorization
- data sparsity
- user specific
- user modeling
- web page recommendation
- item based collaborative filtering
- individual user
- collaborative recommendation
- compound critiques
- web services
- user profiling
- personalized search
- cold start problem
- latent factor models
- recommendation algorithms
- user interests
- service oriented
- web personalization
- data sets
- service discovery
- e learning
- cold start
- relevance feedback
- item recommendation
- online dating
- user interaction
- case study
- search engine
- news recommendation
- recommendation quality
- data mining
- personal preferences
- rating prediction
- social tagging systems
- content based filtering
- end users
- synthetic data
- transfer learning
- user model
- information services
- deal with information overload