Optimizing Personalized Ranking in Recommender Systems with Metadata Awareness.
Marcelo G. ManzatoMarcos Aurélio DominguesSolange Oliveira RezendePublished in: WI-IAT (2) (2014)
Keyphrases
- personalized ranking
- recommender systems
- implicit feedback
- metadata
- matrix factorization
- item recommendation
- collaborative filtering
- digital libraries
- eye tracking
- user behavior
- user feedback
- information overload
- personalized recommendation
- web search
- bayesian analysis
- user preferences
- cold start
- negative matrix factorization
- multimedia
- recommendation systems
- relevance feedback
- contextual information
- data sparsity
- user profiles
- user generated content
- recommendation algorithms