Daniel Billsus
David M. Hilbert
ABSTRACT
Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such systems are becoming increasingly popular, but designing user interfaces that effectively communicate recommended information is a challenge: the interface must be unobtrusive, yet communicate enough information at the right time to provide value to the user. In this paper we describe our experience with the FXPAL Bar, a proactive information system designed to provide contextual access to corporate and personal resources. In particular, we present three features designed to communicate proactive recommendations more effectively: translucent recommendation windows increase the user's awareness of particularly highly-ranked recommendations, query term highlighting communicates the relationship between a recommended document and the user's current context, and a novel recommendation digest function allows users to return to the most relevant previously recommended resources. We present empirical evidence supporting our design decisions and relate lessons learned for other designers of contextual recommendation systems.
- Allan J. (ed) et al. Challenges in Information Retrieval and Language Modeling. SIGIR Forum, vol. 37:1, ACM, 2003. Google Scholar
Digital Library
- Budzik, J., Hammond K., and Birnbaum, L. Information Access in Context. Knowledge-Based Systems 14 (1-2), pp 37--53, Elsevier Science, 2001.Google ScholarDigital Library
- Rhodes, B. Just-In-Time Information Retrieval. Ph.D. Dissertation, MIT Media Lab, 2000. Google ScholarDigital Library
- Trevor, J. et al. Contextual Contact Retrieval. International Conference on Intelligent User Interfaces (IUI 2004), Funchal, Madeira, Portugal, 2004. Google ScholarDigital Library
- Van Rijsbergen, C. J. Information Retrieval. London: Butterworths, 1979. Google ScholarDigital Library
- Webb, G., Pazzani, M. and Billsus, D. Machine Learning for User Modeling. User Modeling and User-Adapted Interaction, 11: 19--20, 2001. Google ScholarDigital Library
- Wolber, D., Kepe, M., and Ranitovic, I. Exposing Document Context in the Personal Web. Proceedings of the International Conference on Intelligent User Interfaces (IUI 2002), San Francisco, CA, 2002. Google ScholarDigital Library
Index Terms
- Improving proactive information systems
Recommendations
Exploiting contextual information in recommender systems
RecSys '08: Proceedings of the 2008 ACM conference on Recommender systemsRecommender Systems help an on-line user to tame information overload and are being used now in complex domains where it could be beneficial to exploit context-awareness, e.g., in travel recommendation. Technically, in Recommender Systems we can ...
Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach
ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia RetrievalOver the last years, music consumption has changed fundamentally: people switch from private, mostly limited music collections to huge public music collections provided by music streaming platforms. Thus, the amount of available music has increased ...
Reducing the sparsity of contextual information for recommender systems
RecSys '12: Proceedings of the sixth ACM conference on Recommender systemsOur work focuses on the improvement of the accuracy of context-aware recommender systems. Contextual information showed to be promising factor in recommender systems. However, pure context-based recommender systems can not outperform other approaches ...
Comments