Publication Type

Conference Proceeding Article

Publication Date

4-2015

Abstract

Ranking businesses by competitiveness is useful in many applications including business (e.g., restaurant) recommendation, and estimation of intrinsic value of businesses for mergers and acquisitions. Our literature reveals that previous methods of business ranking have ignored the competing relationship among businesses within their geographical areas. To account for competition, we propose the use of PageRank model and its variant to derive the Competitive Rankof businesses. We use the check-ins of users from Foursquare, a location-based social network, to model the winners of competitions among stores. The results of our experiments show that Competitive Rank works well when evaluated against ground truth business ranking.

Discipline

Computer Sciences | Databases and Information Systems

Research Areas

Data Management and Analytics

Publication

Social Computing, Behavioral-Cultural Modeling, and Prediction: 8th International Conference, SBP 2015, Washington, DC, USA, March 31-April 3, 2015: Proceedings

Volume

9021

First Page

283

Last Page

289

ISBN

9783319162676

Identifier

10.1007/978-3-319-16268-3_31

Publisher

Springer Verlag

City or Country

Cham

Additional URL

http://dx.doi.org/10.1007/978-3-319-16268-3_31

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