The Impacts of Item Features and User Characteristics on Users' Perceived Serendipity of Recommendations.
Ningxia WangLi ChenYonghua YangPublished in: UMAP (2020)
Keyphrases
- active user
- user satisfaction
- recommender systems
- recommendation systems
- user preferences
- user ratings
- collaborative filtering
- personalized recommender systems
- cold start problem
- recommendation algorithms
- item recommendation
- making recommendations
- personal preferences
- user similarity
- cold start
- user feedback
- user interface
- user interaction
- user profiles
- end users
- recommendation quality
- computer users
- user centric
- online dating
- personalized recommendation
- long tail
- user oriented
- user specific
- novice users
- user requirements
- information overload
- user experience
- multiple users
- user interests
- collaborative recommendation
- internet users
- browsing experience
- content based filtering
- user model
- helping users
- user requests
- matrix factorization
- product recommendation
- individual user
- feature set
- personal interests
- website
- data sparsity
- perceived usefulness
- implicit feedback
- log files
- user centered
- cognitive effort
- user studies