Dynamic Clustering Process to Calculate Affinity Degree of Users as Basis of a Social Network Recommender.
Andrea ZandaErnestina Menasalvas RuizSantiago EibePublished in: WISE Workshops (2012)
Keyphrases
- social networks
- recommender systems
- social media
- user profiles
- collaborative filtering
- dynamic environments
- social communities
- social network analysis
- online communities
- micro blogging
- recommendation systems
- social networking sites
- social influence
- user interests
- user ratings
- online social
- user activities
- user preferences
- user interaction
- social network sites
- social media data
- social web
- information diffusion
- mobile phone users
- user feedback
- user interface
- social networking
- end users
- user model
- pairwise
- making recommendations
- social network services
- social interaction
- social activities
- dynamically generated
- web content
- information overload
- social graph
- social relations
- information seeking
- recommendation algorithms
- social relationships
- virtual communities