An investigation on the serendipity problem in recommender systems.
Marco de GemmisPasquale LopsGiovanni SemeraroCataldo MustoPublished in: Inf. Process. Manag. (2015)
Keyphrases
- recommender systems
- recommendation systems
- collaborative filtering
- user preferences
- information filtering
- user profiles
- information overload
- matrix factorization
- recommendation quality
- movie recommendation
- implicit feedback
- personalized recommendation
- trust aware
- user interests
- user model
- cold start problem
- netflix prize
- compound critiques
- user modeling
- personal preferences
- product recommendation
- recommendation algorithms
- data mining
- artificial intelligence