Diversity, Fairness, and Data-Driven Personalization in (News) Recommender System (Dagstuhl Perspectives Workshop 19482).
Abraham BernsteinClaes H. de VreeseNatali HelbergerWolfgang SchulzKatharina Anna ZweigPublished in: Dagstuhl Reports (2019)
Keyphrases
- recommender systems
- data driven
- news recommendation
- collaborative filtering
- user generated content
- user profiles
- information filtering
- matrix factorization
- user model
- news articles
- user modeling
- information overload
- user preferences
- personalized recommendation
- news items
- social media
- selected papers
- information retrieval
- news stories
- product recommendation
- search result diversification
- cold start problem
- user feedback
- keywords
- movie recommendation
- online dating
- recommendation quality
- user interests
- academic researchers
- hot topics
- online news
- resource allocation
- game theory