How to deal with negative preferences in recommender systems: a theoretical framework.
Federica CenaLuca ConsoleFabiana VerneroPublished in: J. Intell. Inf. Syst. (2023)
Keyphrases
- theoretical framework
- recommender systems
- user preferences
- collaborative filtering
- preference learning
- theoretical foundation
- personal preferences
- positive and negative
- matrix factorization
- user profiles
- user behavior
- collaborative knowledge building
- conceptual framework
- user context
- conceptual change
- user profiling
- cold start problem
- statistical learning theory
- web services
- recommendation quality