When Users with Preferences Different from Others Get Inaccurate Recommendations.
Benjamin GrasArmelle BrunAnne BoyerPublished in: WEBIST (Revised Selected Papers) (2015)
Keyphrases
- making recommendations
- recommender systems
- user preferences
- personal preferences
- user feedback
- recommendation systems
- individual preferences
- online dating
- explicit feedback
- demographic information
- user profiles
- collaborative recommendation
- novice users
- end users
- collaborative filtering
- daily life
- decision making
- user requirements
- social media
- relevance feedback
- user experience
- multi attribute
- user model
- personalized recommender systems
- information sources
- user interaction
- preference model
- recommendation quality
- web content
- active user
- information overload
- content based filtering
- cold start problem
- cold start
- individual user
- personalized services
- user specific
- user groups
- decision process