On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected.
Panagiotis AdamopoulosAlexander TuzhilinPublished in: ACM Trans. Intell. Syst. Technol. (2014)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- events occur
- user preferences
- user profiling
- user profiles
- user feedback
- artificial intelligence
- cold start
- personalized recommendation
- user modeling
- information overload
- information filtering
- machine learning
- user model
- data sparsity
- product recommendation
- recommendation quality
- movie recommendation
- collaborative filtering recommender systems
- user interests
- interestingness measures
- recommendation algorithms
- implicit feedback
- missing data
- data streams
- item based collaborative filtering