Journal of the American Society for Information Science and Technology
Text Retrieval Systems for the Web
Programming and Computing Software
A zero-input interface for leveraging group experience in web browsing
Proceedings of the 8th international conference on Intelligent user interfaces
Browsing a document collection represented in two-and three-dimensional virtual information space
International Journal of Human-Computer Studies
Does topic metadata help with Web search?
Journal of the American Society for Information Science and Technology
Multimedia presentation organization and playout management using intelligent agents
Multimedia Tools and Applications
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
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In the face of small, one or two word queries, high volumes of diverse documents on the Web are overwhelming search and ranking technologies that are based on document similarity measures. The increase of multimedia data within documents sharply exacerbates the shortcomings of these approaches. Recently, research prototypes and commercial experiments have added techniques that augment similarity-based search and ranking. These techniques rely on judgments about the 'value' of documents. Judgments are obtained directly from users, are derived by conjecture based on observations of user behavior, or are surmised from analyses of documents and collections. All these systems have been pursued independently, and no common understanding of the underlying processes has been presented. We survey existing value-based approaches, develop a reference architecture that helps compare the approaches, and categorize the constituent algorithms. We explain the options for collecting value metadata, and for using that metadata to improve search, ranking of results, and the enhancement of information browsing. Based on our survey and analysis, we then point to several open problems.