Web search engines present search results in a rank ordered list. This works when what a user wants is near the top, but sometimes the information that the user really wants is lo...
We consider the problem of ranking refinement, i.e., to improve the accuracy of an existing ranking function with a small set of labeled instances. We are, particularly, intereste...
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Web users use search engine to find useful information on the Internet. However current web search engines return answer to a query independent of specific user information need. S...
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...