Accuracy and Diversity in Cross-domain Recommendations for Cold-start Users with Positive-only Feedback.
Ignacio Fernández-TobíasPaolo TomeoIván CantadorTommaso Di NoiaEugenio Di SciascioPublished in: RecSys (2016)
Keyphrases
- cold start
- cross domain
- recommender systems
- cold start problem
- implicit feedback
- recommendation algorithms
- collaborative filtering
- data sparsity
- collaborative filtering algorithms
- transfer learning
- recommendation quality
- user feedback
- user ratings
- tag recommendation
- recommendation systems
- user preferences
- prediction accuracy
- matrix factorization
- sentiment classification
- personalized recommendation
- user behavior
- eye tracking
- knowledge transfer
- relevance feedback
- information overload
- data mining
- user model
- text categorization
- filtering algorithm
- search result
- user profiles
- decision trees
- web search
- information extraction