TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Dötterl, Jeremias
A1  - Bruns, Ralf
A1  - Dunkel, Jürgen
T1  - Incorporating Situation Awareness into Recommender Systems
T2  - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS
N2  - 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.
KW  - Situation Awareness
KW  - Kontextbezogenes System
KW  - Empfehlungssystem
KW  - Semantic Web
KW  - Context Awareness
KW  - Decision Support
KW  - Recommender System
KW  - Semantic Web Technologies
KW  - Complex Event Processing
Y1  - 2017
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:960-opus4-17424
SN  - 978-989-758-248-6
SB  - 978-989-758-248-6
U6  - https://doi.org/10.25968/opus-1742
DO  - https://doi.org/10.25968/opus-1742
SP  - 676
EP  - 683
ER  -