Understanding the Effects of Explanation Types and User Motivations on Recommender System Use.
Qing LiSharon Lynn ChuNanjie RaoMahsan NouraniPublished in: HCOMP (2020)
Keyphrases
- recommender systems
- collaborative filtering
- user preferences
- user profiles
- user model
- user requirements
- user interaction
- user defined
- information overload
- recommendation quality
- user experience
- user participation
- user modeling
- user feedback
- cognitive effort
- user interests
- matrix factorization
- recommendation systems
- context aware
- generating explanations
- neural network
- product recommendation
- cold start
- information filtering
- end users
- user interface