Hundreds of millions of users each day submit queries to the Web search engine. The user queries are typically very short which makes query understanding a challenging problem. In...
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
We report on a study that was undertaken to better identify users' goals behind web search queries by using click through data. Based on user logs which contain over 80 millio...
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
User clicks on a URL in response to a query are extremely useful predictors of the URL's relevance to that query. Exact match click features tend to suffer from severe data s...
Huihsin Tseng, Longbin Chen, Fan Li, Ziming Zhuang...