Despite the success of modern Web search engines, challenges remain when it comes to providing people with access to the right information at the right time. In this paper, we desc...
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...
We examine the effect of incorporating gaze-based attention feedback from the user on personalizing the search process. Employing eye tracking data, we keep track of document part...
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...
Most of the previous works that disambiguate personal names in Web search results often employ agglomerative clustering approaches. In contrast, we have adopted a semi-supervised c...