Combining Social Balance Theory and Collaborative Filtering for Service Recommendation in Sparse Environment.
Lianyong QiWan-Chun DouXuyun ZhangPublished in: APSCC (2016)
Keyphrases
- collaborative filtering
- recommender systems
- social recommendation
- matrix factorization
- data sparsity
- user preferences
- recommendation algorithms
- rating prediction
- online dating
- recommendation systems
- web page recommendation
- personalized recommendation
- theoretical framework
- item recommendation
- cold start problem
- social context
- social interaction
- computing environments
- tensor factorization
- cold start
- web services
- collaborative filtering algorithms
- context aware services
- social media
- item based collaborative filtering
- learning community
- end users
- sparse representation
- making recommendations
- mobile robot
- hybrid recommendation
- social psychology
- product recommendation
- service providers
- user generated content
- information filtering
- transfer learning
- virtual world