Applying multi-view based metadata in personalized ranking for recommender systems.
Marcos Aurélio DominguesCamila Vaccari SundermannFlávio M. M. BarrosMarcelo G. ManzatoMaria G. C. PimentelSolange Oliveira RezendePublished in: SAC (2015)
Keyphrases
- personalized ranking
- recommender systems
- implicit feedback
- metadata
- matrix factorization
- item recommendation
- collaborative filtering
- user feedback
- user behavior
- eye tracking
- bayesian analysis
- user preferences
- cold start
- digital libraries
- multimedia
- relevance feedback
- information overload
- data sparsity
- user interests
- search logs
- computationally feasible