Towards a Model of Context-Aware Recommender System
Proceedings of the CAiSE 2015 Forum at the 27th International Conference on Advanced Information Systems Engineering co-located with 27th International Conference on Advanced Information Systems Engineering (CAiSE 2015) 2015
Lauma Jokste

Users often have difficulties to use large-scale information systems efficiently because of their complexity. Additionally, these systems might be context dependent. If these context dependencies are taken into account during the system’s run-time phase, the most appropriate functionality might be provided to users in the form of recommendations for each context situation. The paper proposes to account for the context dependencies by using context aware recommendations and outlines an approach for modeling such recommendations. This approach is based on methodological foundations of Capability Driven Development. The paper discusses a motivational case for developing context aware recommendations and presents the initial method for recommendation modelling.


Keywords
Recommender Systems, Recommendation Modeling, ContextAware recommendations, Capability Metamodel
Hyperlink
http://ceur-ws.org/Vol-1367/paper-19.pdf

Jokste, L. Towards a Model of Context-Aware Recommender System. In: Proceedings of the CAiSE 2015 Forum at the 27th International Conference on Advanced Information Systems Engineering co-located with 27th International Conference on Advanced Information Systems Engineering (CAiSE 2015), Sweden, Stockholm, 8-12 June, 2015. Stockholm: CEUR Workshop Proceedings, 2015, pp.145-152. ISSN 1613-0073.

Publication language
English (en)
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