Glaucus: Exploiting the wisdom of crowds for location-based queries in mobile environments

Abstract

This paper, we build a social search engine named Glaucusation-based queries. They compose a significant portionle searches, thus becoming more popular with valence of mobile devices. However, most of existingsearch engines are not designed for location-based and thus often produce poor-quality results for such. Glaucus is inherently designed to support location based. It collects the check-in information, which pinpointsces where each user visited, from location-basednetworking services such as Foursquare. Then, it calculatesertise of each user for a query by using ourbabilistic model called the location aspect model.Weed two types of evaluation to prove the effectivenessengine. The results showed that Glaucus selected theupported by stronger evidence for the required expertiseisting social search engines. In addition, the answerse experts selected by Glaucus were highly ratedhuman judges in terms of answer satisfaction.