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Spatio-semantic user profiles in location-based social networks

Mohamed, Soha and Abdelmoty, Alia ORCID: 2017. Spatio-semantic user profiles in location-based social networks. International Journal of Data Science and Analytics 4 (2) , pp. 127-142. 10.1007/s41060-017-0059-9

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Knowledge of users’ visits to places is one of the keys to understanding their interest in places. User-contributed annotations of place, the types of places they visit, and the activities they carry out, 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 co-occurrence methods and similarity measures to be applied to build different views of personalised user profiles. Basic profiles capture direct user interactions, while enriched profiles offer an extended view of users’ association with places and tags that take into account relationships in the folksonomy. The main contributions of this work are the proposal of a uniform approach to the creation of user profiles on the Social Web that integrates both the spatial and semantic components of user-provided information, and the demonstration of the effectiveness of this approach with realistic datasets.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Uncontrolled Keywords: Geo-folksonomy User profiles Location-based social networks
Publisher: Springer
ISSN: 2364-415X
Date of First Compliant Deposit: 21 May 2017
Date of Acceptance: 8 May 2017
Last Modified: 05 May 2023 20:31

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