Diversity, Serendipity, Novelty, and Coverage: A Survey and Empirical Analysis of Beyond-Accuracy Objectives in Recommender Systems.
Marius KaminskasDerek BridgePublished in: ACM Trans. Interact. Intell. Syst. (2017)
Keyphrases
- empirical analysis
- recommender systems
- theoretical analysis
- empirical studies
- computational cost
- high accuracy
- listed companies
- collaborative filtering
- information retrieval
- recommendation systems
- user preferences
- classification accuracy
- information overload
- long term
- user modeling
- novelty detection
- data sets
- recommendation quality
- trust aware