Challenges of Serendipity in Recommender Systems.
Denis KotkovJari VeijalainenShuaiqiang WangPublished in: WEBIST (2) (2016)
Keyphrases
- recommender systems
- collaborative filtering
- real world
- lessons learned
- recommendation systems
- open issues
- information systems
- matrix factorization
- user feedback
- recommendation quality
- databases
- prediction accuracy
- neural network
- key issues
- information filtering
- information overload
- technical challenges
- knowledge base
- cold start problem