Tailoring Music Recommendations to Users by Considering Diversity, Mainstreaminess, and Novelty.
Markus SchedlDavid HaugerPublished in: SIGIR (2015)
Keyphrases
- recommender systems
- user feedback
- recommendation systems
- collaborative filtering
- making recommendations
- user interaction
- online dating
- end users
- user interface
- collaborative recommender systems
- novice users
- recommendation algorithms
- information seeking
- information sources
- novelty detection
- information overload
- cold start problem
- demographic information
- user satisfaction
- search result diversification
- opinion leaders
- mobile devices