A behavioral approach to information retrieval system design
Journal of Documentation
Overview of the first TREC conference
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive filtering for browsing in hypertext
IUI '98 Proceedings of the 3rd international conference on Intelligent user interfaces
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Using information scent to model user information needs and actions and the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information Retrieval
Non-linear reading for a structured web indexation
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
Data Mining and Knowledge Discovery
ScentTrails: Integrating browsing and searching on the Web
ACM Transactions on Computer-Human Interaction (TOCHI)
Evaluating implicit feedback models using searcher simulations
ACM Transactions on Information Systems (TOIS)
Evaluating relevance feedback algorithms for searching on small displays
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Terrier information retrieval platform
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
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Browsing is an important but often inefficient information seeking strategy in information retrieval (IR). In this paper, we argue that an effective recommendation model can improve the user's browsing experience. We propose to adapt the intertemporal choice model to model the browsing behaviour of the user. The model can be used to recommend a browsing path to the users. The proposed model is based on the assumption that the browsing recommendation problem is an intertemporal choice problem. Using a simulated interactive retrieval system on several standard TREC test collections, the experimental results show that the proposed model is promising in recommending good browsing paths to the user.