Abstract
Summary
In this article we give an overview on selected aspects of user interaction with context-aware recommender systems on smartphones. We discuss these according to the three steps of user interaction with recommender systems using subjective and objective evaluation criteria: 1. Preference elicitation: how input methods on mobile devices can influence the users’ rating behavior, 2. Result delivery and presentation: how results can be adapted to the mobile context, 3. Feedback, critiquing and refinement: how interactive explanation can improve the user experience. The selection of examples is based on several studies we did in different mobile scenarios.
Subject
Computer Networks and Communications,Human-Computer Interaction,Communication,Business, Management and Accounting (miscellaneous),Information Systems,Social Psychology
Reference17 articles.
1. Baltrunas, L.; Ludwig, B.; Ricci, F.: Context Relevance Assessment for Recommender Systems. Proc. 16th International Conference on Intelligent User Interfaces (IUI), Palo Alto, USA, 2011.
2. Chen, L.; Pu, P.: Critiquing-Based Recommenders: Survey and Emerging Trends. User Modeling and User-Adapted Interaction, 22(1–2): 125–150, 2012.
3. Gallego-Vico, D.; Wörndl, W.; Bader, R.: A Study on Proactive Delivery of Restaurant Recommendations for Android Smartphones. Proc. Workshop Personalization in Mobile Applications, ACM Recommender Systems Conference, Chicago, USA, 2011.
4. Jawaheer, G.; Weller, P.; Kostkova, P.: Modeling User Preferences in Recommender Systems: A Classification Framework for Explicit and Implicit User Feedback. ACM Transactions on Interactive Intelligent Systems, 4(2), 2014.
5. Konstan, J. A.; Riedl, J.: Recommender Systems: From Algorithms to User Experience. User Modeling and User-Adapted Interaction, 22(1–2): 101–123, 2012.
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