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...
As the amount of Web information grows rapidly, search engines must be able to retrieve information according to the user's preference. In this paper, we propose a new web sea...
Kenneth Wai-Ting Leung, Dik Lun Lee, Wang-Chien Le...
Finding information about people on the Web using a search engine is difficult because there is a many-to-many mapping between person names and specific persons (i.e. referents). ...
Generic web search is designed to serve all users, independent of the individual needs and without any adaptation to personal requirements. We propose a novel technique1 that perf...
John D. Garofalakis, Theofanis Matsoukas, Yannis P...
Abstract. We introduce a novel situation-aware approach to personalize search results for mobile users. By providing a mobile user with appropriate information that dynamically sat...