Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users.
Roger Zhe LiJulián UrbanoAlan HanjalicPublished in: WSDM (2021)
Keyphrases
- recommender systems
- collaborative filtering
- user profiles
- information overload
- active user
- user model
- user preferences
- recommendation quality
- cold start problem
- user feedback
- user modeling
- cold start
- recommendation systems
- recommendation algorithms
- implicit feedback
- matrix factorization
- content based filtering
- online dating
- user ratings
- end users
- user interests
- user interface
- user profiling
- trust aware
- user interaction
- user similarity
- collaborative filtering recommender systems
- user context
- personal preferences
- user satisfaction
- user modelling
- user centered
- product recommendation
- user centric
- user requirements
- internet users
- data sparsity
- computer users
- rating prediction
- personalized recommendation
- personalized services
- novice users
- user experience
- usage data
- user oriented
- item based collaborative filtering
- compound critiques
- user generated content