Richthammer, Christian and Pernul, Guenther (2020) Situation awareness for recommender systems. ELECTRONIC COMMERCE RESEARCH, 20 (4). pp. 783-806. ISSN 1389-5753, 1572-9362
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One major shortcoming of traditional recommender systems is their inability to adjust to users' short-term preferences resulting from varying situation-specific factors. To address this, we propose the notion of situation-aware recommender systems, which are supposed to autonomously determine the users' current situation based on a multitude of contextual side information and generate truly personalized recommendations. In particular, we develop a situation awareness model for recommender systems, include it in a situation-aware recommendation process, and derive generic design steps for the design of situation-aware recommender systems. The feasibility of these concepts is demonstrated by directly employing them for the development and implementation of a music recommender system for everyday situations. Moreover, their meaningfulness is shown by means of an empirical user study. The outcomes of the evaluation indicate a significant increase in user satisfaction compared to traditional (i.e. non-situation-aware) recommendations.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | OF-THE-ART; DESIGN SCIENCE; CONTEXT; Recommender systems; Situation awareness; Context awareness; Contextual side information; Situation-aware recommender systems |
| Subjects: | 300 Social sciences > 330 Economics |
| Divisions: | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 08 Mar 2021 07:32 |
| Last Modified: | 08 Mar 2021 07:32 |
| URI: | https://pred.uni-regensburg.de/id/eprint/43312 |
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