Exploiting user feedback to improve quality of search results clustering.
Inbeom HwangMinsuk KahngSang-goo LeePublished in: ICUIMC (2011)
Keyphrases
- user feedback
- improve quality
- search results clustering
- user interaction
- relevance feedback
- user profiles
- user preferences
- recommender systems
- amazon mechanical turk
- electronic health records
- clustering algorithm
- active learning
- natural language processing
- learning to rank
- educational technology
- databases
- image retrieval
- patient care
- similarity measure