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Incorporating Situation Awareness into Recommender Systems

  • Nowadays, smartphones and sensor devices can provide a variety of information about a user’s current situation. So far, many recommender systems neglect this kind of information and thus cannot provide situationspecific recommendations. Situation-aware recommender systems adapt to changes in the user’s environment and therefore are able to offer recommendations that are more appropriate for the current situation. In this paper, we present a software architecture that enables situation awareness for arbitrary recommendation techniques. The proposed system considers both (semi-)static user profiles and volatile situational knowledge to obtain meaningful recommendations. Furthermore, the implementation of the architecture in a museum of natural history is presented, which uses Complex Event Processing to achieve situation awareness.

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Metadaten
Author:Jeremias Dötterl, Ralf BrunsGND, Jürgen DunkelGND
URN:urn:nbn:de:bsz:960-opus4-17424
DOI original:https://doi.org/10.5220/0006385106760683
ISBN:978-989-758-248-6
Parent Title (English):Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS
Document Type:Conference Proceeding
Language:English
Year of Completion:2017
Release Date:2020/11/18
Tag:Complex Event Processing; Context Awareness; Decision Support; Recommender System; Semantic Web Technologies
GND Keyword:Situation Awareness; Kontextbezogenes System; Empfehlungssystem; Semantic Web
First Page:676
Last Page:683
Institutes:Fakultät IV - Wirtschaft und Informatik
DDC classes:004 Informatik
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International