Improving user recommendation by extracting social topics and interest topics of users in uni-directional social networks.
Ke XuXushen ZhengYi CaiHuaqing MinZhen GaoBenjin ZhuHaoran XieTak-Lam WongPublished in: Knowl. Based Syst. (2018)
Keyphrases
- social communities
- social networks
- user interests
- online dating
- social connections
- social networking
- social media
- personal interests
- recommender systems
- collaborative filtering
- social graph
- social networking services
- social influences
- social relationships
- online communities
- social influence
- user preferences
- social web
- social networking sites
- twitter users
- recommendation systems
- micro blogging
- user profiles
- recommendation algorithms
- social activities
- tagging systems
- recommendation quality
- end users
- social network analysis
- online social networks
- user interaction
- user feedback
- user similarity
- social relations
- social media platforms
- location based social networks
- social media sites
- heterogeneous social networks
- news items
- user interface
- cold start problem
- information overload
- user behavior
- social interaction
- user experience
- micro blog
- online social
- user model
- user ratings
- influence propagation
- user satisfaction
- information diffusion
- personal preferences
- personalized recommendation
- social context
- social tagging systems
- viral marketing
- individual user
- social networking websites
- news topics
- web page recommendation
- product recommendation
- relevance feedback
- social awareness
- user generated content
- user generated
- social network sites
- social tagging
- helping users
- user activity