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.
| Author: | Jeremias Dötterl, Ralf BrunsGND, Jürgen DunkelGND |
|---|---|
| URN: | urn:nbn:de:bsz:960-opus4-17424 |
| DOI: | https://doi.org/10.25968/opus-1742 |
| 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 |
| Link to catalogue: | 1756572909 |
| Institutes: | Fakultät IV - Wirtschaft und Informatik |
| DDC classes: | 004 Informatik |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
