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Service Oriented Computing and Applications

14-08-2017 | Special Issue Paper

Exploiting Internet of Things information to enhance venues’ recommendation accuracy

Published in: Service Oriented Computing and Applications | Issue 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.

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Metadata
Title
Exploiting Internet of Things information to enhance venues’ recommendation accuracy
Publication date
14-08-2017
Published in
Service Oriented Computing and Applications / Issue 4/2017
Print ISSN: 1863-2386
Electronic ISSN: 1863-2394
DOI
https://doi.org/10.1007/s11761-017-0216-y

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