Incorporating Situation Awareness into Recommender Systems

Autor: Jürgen Dunkel, Ralf Bruns, Jeremias Dötterl
Jazyk: angličtina
Rok vydání: 2020
Předmět:
DOI: 10.25968/opus-1742
Popis: 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.
Databáze: OpenAIRE