Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users.

Roger Zhe Li Julián Urbano Alan Hanjalic

Published 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