An Adaptive Filter for Preference Fine-Tuning in Recommender Systems.
José Miguel BlancoMouzhi GeTomás PitnerPublished in: WEBIST (Revised Selected Papers) (2021)
Keyphrases
- fine tuning
- recommender systems
- user preferences
- collaborative filtering
- viable alternative
- personal preferences
- fine tune
- matrix factorization
- preference learning
- fine tuned
- information filtering
- user modeling
- recommendation systems
- user behavior
- image restoration
- noise reduction
- user profiles
- cold start problem
- multiple criteria
- multi attribute
- implicit feedback
- user profiling
- recommendation algorithms
- product recommendation
- preference relations
- noise removal
- filtering algorithm