We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
Abstract. In this paper, we present a new approach to web search personalization based on user collaboration and sharing of information about web documents. The proposed personaliz...
Existing web search engines provide users with the ability to query an off-line database of indices in order to decide on an entry point for further manual navigation. Results are...
This work addresses two common problems in search, frequently occurring with underspecified user queries: the top-ranked results for such queries may not contain documents relevan...
Abstract: Query languages for XML such as XPath or XQuery support Boolean retrieval where a query result is a (possibly restructured) subset of XML elements or entire documents tha...