1. DocuBrowse Faceted Searching, Browsing, and Recommendations in an Enterprise Context Paper by: Girgensohn, Shipman, Chen, Wilcox Published in Proceeding of the 14th international conference on Intelligent user interfaces, 2010 Presented by Adam Dziki Internet Web Systems 2, Spring 2010

2. Overview Problem Statement Proposed Solution Genre Identification Conclusions

3. Problem Statement Searching for information in an enterprise setting is challenging – Unstructured data – Different file formats than web searching – Searching for a different result (phone number vs document) – Privacy

4. Proposed Solution DocuBrowse – Faceted Searching, Filtering – Enterprise Documents – Recommendations – Versioning – File Hierarchy – Thumbnail Visualization

5. Proposed Solution Figure 1 – Display of DocuBrowse Document Hierarchy

6. Genre Identification – Metadata to enhance searching – Genre Identification and Estimation system(GenIE) Trained system to automatically generate genres for documents – Provides consistent metadata across documents

7. Conclusions Anecdotal experiments so far, seems to provide usefulness Automatic genre identification eases user workload Expected to “simplify user access” to documents

8. References DocuBrowse: Faceted Searching, Browsing, and Recommendations in an Enterprise Context – Girgensohn, Shipman, Chen, Wilcox – http://doi.acm.org/10.1145/1719970.1719997