User Feedback-Based Refinement for Web Services Retrieval using Multiple Instance Learning.
Yanzhen ZouLiang-Jie ZhangLu ZhangBing XieHong MeiPublished in: ICWS (2006)
Keyphrases
- language model
- user feedback
- multiple instance learning
- retrieval model
- relevance feedback
- document retrieval
- test collection
- object based image retrieval
- relevant documents
- query expansion
- multiple instance
- information retrieval
- retrieval process
- interactive retrieval
- user interaction
- multi class
- probabilistic model
- learning to rank
- supervised learning
- user preferences
- user profiles
- information retrieval systems
- semi supervised learning
- recommender systems
- image database
- image retrieval
- image annotation
- semi supervised
- active learning
- search queries
- image features
- data sets