Using Online Media Sharing Behavior as Implicit Feedback for Collaborative Filtering.
Geonhyeok GoJoonhyuk YangHyunwoo ParkSteve SangKi HanPublished in: SocialCom/PASSAT (2010)
Keyphrases
- implicit feedback
- collaborative filtering
- recommender systems
- matrix factorization
- user behavior
- personalized recommendation
- eye tracking
- personalized ranking
- user feedback
- explicit feedback
- context aware recommendation
- cold start
- data sparsity
- user preferences
- latent factors
- item recommendation
- multimedia
- web search
- recommendation systems
- search result
- learning to rank
- relevance feedback
- relevance judgments
- topical relevance
- implicit relevance feedback
- user profiles
- supervised learning