User Perception of Recommendation Explanation: Are Your Explanations What Users Need?
Hongyu LuWeizhi MaYifan WangMin ZhangXiang WangYiqun LiuTat-Seng ChuaShaoping MaPublished in: ACM Trans. Inf. Syst. (2023)
Keyphrases
- recommender systems
- collaborative filtering
- recommendation systems
- user feedback
- online dating
- information overload
- user profiles
- active user
- user preferences
- user interaction
- helping users
- recommendation algorithms
- user ratings
- user oriented
- recommendation quality
- user interface
- end users
- content based filtering
- user requirements
- personalized services
- individual user
- user model
- social networking services
- web page recommendation
- generating explanations
- long tail
- item recommendation
- user interests
- novice users
- product recommendation
- cold start problem
- browsing behavior
- user satisfaction
- implicit feedback
- user similarity
- user specific
- user modeling
- cold start
- user experience
- multiple users
- user studies
- user groups
- user centric
- query formulation
- user profiling
- personal interests
- data sparsity
- internet users
- human users
- user context
- personal preferences
- social networks
- collaborative tagging
- location based social networks
- collaborative recommendation
- user behavior
- user activity
- tag recommendation
- web browsing
- personalized recommendation
- user centered
- amazon mechanical turk
- personalized information
- location information
- navigational behavior
- domain theory
- community question answering
- collaborative filtering algorithms
- single user
- user requests