Semantically-based recommendation by using semantic clusters of users' viewing history.
Han-Gyu KoEunae KimIn-Young KoDeokmoon ChangPublished in: BigComp (2014)
Keyphrases
- semantically relevant
- recommender systems
- collaborative filtering
- recommendation systems
- semantic information
- natural language
- cold start problem
- user feedback
- semantic data
- online dating
- data sparsity
- semantically related
- personalized recommendation
- information overload
- user interface
- user interests
- personalized services
- clustering algorithm
- historical information
- user interaction
- individual user
- web browsing
- cold start
- user profiles
- matrix factorization
- user model
- semantic annotation
- user experience
- navigation paths
- amazon mechanical turk
- social networking services
- personal preferences
- personal interests
- query recommendation
- browsing behavior
- product recommendation
- long tail
- implicit feedback
- recommendation algorithms
- hierarchical clustering
- user preferences
- semantic web