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Service Oriented Computing and Applications
Erschienen in: Service Oriented Computing and Applications 4/2017

14.08.2017 | Special Issue Paper

Exploiting Internet of Things information to enhance venues’ recommendation accuracy

verfasst von: Dionisis Margaris, Costas Vassilakis

Erschienen in: Service Oriented Computing and Applications | Ausgabe 4/2017

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Abstract

In this paper, we introduce a novel recommendation algorithm, which exploits data sourced from web services provided by the Internet of Things in order to produce more accurate venue recommendations. The proposed algorithm provides added value for the web services offered by the Internet of Things and enhances the state-of-the-art in this algorithm category by taking into account (a) web of things data regarding the contexts of the user and the context of the venues to be recommended (restaurants, movie theaters, etc.), such as the user’s geographical position, road traffic and weather conditions, (b) qualitative aspects of the venues, such as price, atmosphere or service, (c) the semantic similarity of venues and (d) the influencing factors between social network users, derived from user participation in social networks. The combination of these features leads to more accurate and better user-targeted recommendations. We also present a framework which incorporates the above characteristics, and we evaluate the presented algorithm, both in terms of performance and recommendation quality.
Vorheriger Artikel A planning approach to the automated synthesis of template-based process models
Nächster Artikel Cost-optimized redundant data storage in the cloud

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Metadaten
Titel
Exploiting Internet of Things information to enhance venues’ recommendation accuracy
verfasst von
Dionisis Margaris
Costas Vassilakis
Publikationsdatum
14.08.2017
Verlag
Springer London
Erschienen in
Service Oriented Computing and Applications / Ausgabe 4/2017
Print ISSN: 1863-2386
Elektronische ISSN: 1863-2394
DOI
https://doi.org/10.1007/s11761-017-0216-y

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