Spatio-semantic user profiles in location-based social networks
| Autor: | Alia I. Abdelmoty, Soha Mohamed |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Information retrieval
Computer science Applied Mathematics Association (object-oriented programming) 02 engineering and technology Social web Semantics Computer Science Applications Management information systems Computational Theory and Mathematics Data model 020204 information systems Modeling and Simulation Similarity (psychology) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Layer (object-oriented design) Folksonomy Information Systems |
| ISSN: | 2364-415X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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