Home // GEOProcessing 2016, The Eighth International Conference on Advanced Geographic Information Systems, Applications, and Services // View article

Uncovering User Profiles in Location-Based Social Networks

Authors:
Soha A. Mohamed
Alia I. Abdelmoty

Keywords: GeoFolksonomy;User Profiles;Location-based Social Networks

Abstract:
With the current trend of embedding location services within social networks, an ever growing amount of users’ spatiotemporal tracks are being collected that can be used to generate user profiles to reflect users’ interests in places. User-contributed annotations of place, as well as other place properties, add a layer of important semantics that if considered, can result in more refined representations of user profiles. In this paper, semantic information is summarised as tags for places and a folksonomy data model is used to represent spatial and semantic relationships between users, places and tags. The model allows simple cooccurrence methods and similarity measures to be applied to build different views of personalized user profiles. Basic profiles capture direct user interactions while enriched profiles offer an extended view of user’s association with places and tags that takes into account relationships in the folksonomy. The main contribution of this work is the demonstration of how the different data dimensions captured on location-based social networks can be combined to represent useful views of user profiles.

Pages: 14 to 21

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-469-5

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016