Online text retrieval via browsing
Information Processing and Management: an International Journal
Information seeking in electronic environments
Information seeking in electronic environments
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Value of search results as a whole as the best single measure of information retrieval performance
Information Processing and Management: an International Journal
Finding information on the World Wide Web: the retrieval effectiveness of search engines
Information Processing and Management: an International Journal
Social science information gateway for psychology: a utility test of SOSIG
Social Science Computer Review
Information Processing and Management: an International Journal
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
Faceted metadata for image search and browsing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The concept of relevance in IR
Journal of the American Society for Information Science and Technology
Information Processing and Management: an International Journal
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Learning User Similarity and Rating Style for Collaborative Recommendation
Information Retrieval
Efficient and Anonymous Web-Usage Mining for Web Personalization
INFORMS Journal on Computing
The conceptualization and empirical validation of web site user satisfaction
Information and Management
Market-based recommendation: Agents that compete for consumer attention
ACM Transactions on Internet Technology (TOIT)
Findex: search result categories help users when document ranking fails
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personalization technologies: a process-oriented perspective
Communications of the ACM - The digital society
Clustering versus faceted categories for information exploration
Communications of the ACM - Supporting exploratory search
Relationships between categories of relevance criteria and stage in task completion
Information Processing and Management: an International Journal
Navigation in hypermedia learning systems: experts vs. novices
Computers in Human Behavior
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Browsing efficiency depends to a large extent on the organization of the information being browsed. An emerging method of organizing Web content, called multi-faceted categorization, adopts a flat structure and treats different facets of the browsed content as equal and independent. The advantage of this structure is that it allows users to slice and dice the information space from any of the facets they wish to browse, and in any arbitrary order, thereby facilitating so-called multi-dimensional browsing. However, because of limited human information processing capacities, too many choices and too much browsing freedom tend to disorient users and increase the difficulty of information gathering. A more effective means of organizing information is therefore needed. In the literature, it is well documented that context plays a crucial role in making relevance judgments about categorical attributes. Since browsing always occurs in relation to certain contexts, we propose taking context into account for multi-faceted categorization to help organize different facets of information on the browsing interface. Our experiment results demonstrate that the context-sensitive arrangement of categories helps users find information more efficiently. Moreover, users perceive the context-sensitive interface as easier to use than non-contextual interfaces.