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» Clustering user queries of a search engine
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SIGIR
2006
ACM
14 years 1 months ago
Improving web search ranking by incorporating user behavior information
We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. We examine alternatives for incorporating feedback into...
Eugene Agichtein, Eric Brill, Susan T. Dumais
WEBI
2005
Springer
14 years 1 months ago
Improving Web Clustering by Cluster Selection
Web page clustering is a technology that puts semantically related web pages into groups and is useful for categorizing, organizing, and refining search results. When clustering ...
Daniel Crabtree, Xiaoying Gao, Peter Andreae
SEMCO
2008
IEEE
14 years 2 months ago
Exploiting Semantic Query Context to Improve Search Ranking
One challenge for relevance ranking in Web search is underspecified queries. For such queries, top-ranked documents may contain information irrelevant to the search goal of the us...
Ziming Zhuang, Silviu Cucerzan
CIKM
2009
Springer
14 years 2 months ago
Easiest-first search: towards comprehension-based web search
Although Web search engines have become information gateways to the Internet, for queries containing technical terms, search results often contain pages that are difficult to be ...
Makoto Nakatani, Adam Jatowt, Katsumi Tanaka
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 2 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel