Learning to Rank Using User Clicks and Visual Features for Image Retrieval.
Jun YuDacheng TaoMeng WangYong RuiPublished in: IEEE Trans. Cybern. (2015)
Keyphrases
- visual features
- learning to rank
- user clicks
- image retrieval
- relevance judgments
- user feedback
- web search
- ranking functions
- information retrieval
- user behavior
- visual information
- search engine
- evaluation measures
- image database
- document retrieval
- loss function
- image classification
- relevance feedback
- low level features
- image annotation
- content based retrieval
- keywords
- semantic features
- test collection
- collaborative filtering
- evaluation metrics
- user activity
- supervised learning
- search result
- low level
- high level
- feature space
- retrieval effectiveness
- semi supervised
- key frames
- retrieval systems
- web search engines
- query expansion