Search engines are useful because they allow the user to nd information of interest from the World-Wide Web. These engines use a crawler to gather information from Web sites. Howev...
We build a probabilistic model to identify implicit local intent queries, and leverage user’s physical location to improve Web search results for these queries. Evaluation on co...
Traditional content-based image retrieval (CBIR) systems often fail to meet a user's need due to the `semantic gap' between the extracted features of the systems and the...
General information retrieval systems are designed to serve all users without considering individual needs. In this paper, we propose a novel approach to personalized search. It c...
Yuanhua Lv, Le Sun, Junlin Zhang, Jian-Yun Nie, Wa...
Query expansion has been extensively studied as a technique for increasing information retrieval performance. However, due to the volume of documents available on the web, many of ...