Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
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...
Searchers can have problems devising queries that accurately express their, often dynamic, information needs. In this paper we describe an adaptive approach that uses unobtrusive ...
Abstract—Extensive work has been devoted to private information retrieval and privacy preserving data mining. To protect user privacy from search engines, however, most current a...
Shaozhi Ye, Shyhtsun Felix Wu, Raju Pandey, Hao Ch...
We propose a method to evaluate queries using a last-resort semantic cache in a distributed Web search engine. The cache stores a group of frequent queries and for each of these qu...