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