A regression framework for learning ranking functions using relative relevance judgments.
Zhaohui ZhengKeke ChenGordon SunHongyuan ZhaPublished in: SIGIR (2007)
Keyphrases
- ranking functions
- relevance judgments
- learning to rank
- preference learning
- web search engines
- supervised learning
- test collection
- learning algorithm
- learning process
- data sets
- document retrieval
- search engine
- active learning
- web search
- active sampling
- average precision
- retrieval effectiveness
- relevance feedback
- machine learning