Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
Understanding the impact of individual and task differences on search result page examination strategies is important in developing improved search engines. Characterizing these e...
Georg Buscher, Ryen W. White, Susan T. Dumais, Jef...
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
This paper presents a geo-temporal gazetteer Web service that provides access to names of places and historical periods, together with the associated geotemporal information. With...
In today’s global village, it is critical that the key information tools, such as web search engines, e-Commerce portals and e-Governance, work across multiple natural languages,...