DocuBrowse: faceted searching, browsing, and recommendations in an enterprise context Authors: Andreas Girgensohn, Frank Shipman, Francine Chen, Lynn Wilcox Keywords: document management, document recommendation, document retrieval, document visualization, faceted search
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.
Watch the movie of this interface in action at the ACM page.
Then imagine it with collaboration and subject identity.