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

7Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Choy, M., Lee, J. G., Gweon, G., & Kim, D. (2014). Glaucus: Exploiting the wisdom of crowds for location-based queries in mobile environments. In Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014 (pp. 61–70). The AAAI Press. https://doi.org/10.1609/icwsm.v8i1.14534

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free