DocuBrowse: faceted searching, browsing, and recommendations in an enterprise context

Authors:
Andreas Girgensohn;Frank Shipman;Francine Chen;Lynn Wilcox
Affiliations:
FX Palo Alto Laboratory, Palo Alto, CA, USA;Texas A&M University, College Station, TX, USA;FX Palo Alto Laboratory, Palo Alto, CA, USA;FX Palo Alto Laboratory, Palo Alto, CA, USA
Venue:
Proceedings of the 15th international conference on Intelligent user interfaces
Year:
2010

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Abstract

Browsing and searching for documents in large, online enterprise document repositories are common activities. While internet search produces satisfying results for most user queries, enterprise search has not been as successful because of differences in document types and user requirements. To support users in finding the information they need in their online enterprise repository, we created DocuBrowse, a faceted document browsing and search system. Search results are presented within the user-created document hierarchy, showing only directories and documents matching selected facets and containing text query terms. In addition to file properties such as date and file size, automatically detected document types, or genres, serve as one of the search facets. Highlighting draws the user's attention to the most promising directories and documents while thumbnail images and automatically identified keyphrases help select appropriate documents. DocuBrowse utilizes document similarities, browsing histories, and recommender system techniques to suggest additional promising documents for the current facet and content filters.