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

International Conference on Intelligent User Interfaces, Proceedings IUI

Volumn , Issue , 2010, Pages 189-198

  Girgensohn, Andreas ^a   Shipman, Frank ^b   Chen, Francine ^a   Wilcox, Lynn ^a  

^a FX PALO ALTO LABORATORY   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Document management; Document recommendation; Document retrieval; Document visualization; Faceted search

Indexed keywords

DOCUMENT MANAGEMENT; DOCUMENT RECOMMENDATION; DOCUMENT RETRIEVAL; DOCUMENT VISUALIZATION; FACETED SEARCH;

INFORMATION SERVICES; SEARCH ENGINES; USER INTERFACES; VISUALIZATION;

INFORMATION RETRIEVAL;

EID: 77951144858     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1719970.1719997     Document Type: Conference Paper

References (20)

1. A. Abecker, A. Bernardi, K. Hinkelmann, M. Sintek. Enterprise Information Infrastructures for Active, Context- Sensitive Knowledge Delivery, in Knowledge Management Systems: Theory and Practice, S. Barnes (ed.), Thomson Learning, pp. 146-160, 2002.
2. E.S. Boese and A.E. Howe. Effects of web document evolution on genre classification. In Proc. of ACM CIKM 2005, pp. 632-639, 2005.
3. F. Chen, S. Putz, D. Brotsky. Automatic method of selecting multi-word key phrases from a document. US Patent 5745602.
4. M.D. Gupta and P. Sarkar. A shared parts model for document image recognition. In Proc. of the Ninth International Conference on Document Analysis and Recognition, pp. 1163-1172, 2007.
5. M. Hearst. Design Recommendations for Hierarchical Faceted Search Interfaces. In Proc. of the ACM SIGIR Workshop on Faceted Search, pp. 26-30, 2006.
6. D. Hawking. Challenges in Enterprise Search. In Proc. of Australasian Database Conference, pp. 15-24, 2004.
7. W. Janssen and K. Popat. UpLib: a universal personal digital library system. Proc. of ACM Symposium on Document Engineering, pp. 234-242, 2003.
8. T. Joachims, Making large-Scale SVM Learning Practical. Advances in Kernel Methods - Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press, pp. 169-184, 1999.
9. A. Karlson, G. Robertson, D. Robbins, M. Czerwinski, and G. Smith. FaThumb: a facet-based interface for mobile search. In Proc. of CHI'06, pp. 711-720, 2006.
10. Y. Kim and S. Ross. Examining variations of prominent features in genre classification. In Proc. of Hawaii International Conference on System Sciences, p. 132. 2008.
11. B. Lee, G. Smith, G. Robertson, M. Czerwinski, D. Tan. FacetLens: exposing trends and relationships to support sensemaking within faceted datasets. In Proc. of CHI '09, pp. 1293-1302, 2009.
12. R. Mukherjee and J. Mao. Enterprise search: Tough stuff. Queue, pp. 36-46, 2004.
13. M. Plu, L. Agosto, L. Vignollet, J.-C. Marty, A Contact Recommender System for a Mediated Social Media, Enterprise information systems VI, Vol.58, I. Seruca, J. Cordeiro, S. Hammoudi (ed.), Springer, 293-300, 2006.
14. C. Shin and D. S. Doermann. Classification of document page images based on visual similarity of layout structures. In Proc. SPIE 2000, pp. 182-190, 2000.
15. H. Simon. Sciences of the Artificial, 3rd Edition. MIT Press, Cambridge, Massachusetts, 1996.
16. G. Smith, M. Czerwinski, B. Meyers, D. Robbins, G. Robertson, D. Tan. FacetMap: A scalable search and browse visualization. IEEE Trans. Visualization and Computer Graphics, 12, 5, pp. 797-804, 2006.
17. P. Turney. Extraction of Keyphrases from Text: Evaluation of Four Algorithms. National Research Council of Canada Technical Report ERB-1051, 1997.
18. M.L. Wilson and m.c. schraefel. A longitudinal study of exploratory and keyword search. In Proc. of JCDL, pp. 52-56, 2008.
19. I. Witten, G. Paynter, E. Frank, C. Gutwin, C. Nevill- Manning. KEA: practical automatic keyphrase extraction, In Proc. of ACM DL, pp.254-255, 1999.
20. L. Zhen, G. Huang, Z. Jiang, An Inner-Enterprise Knowledge Recommender System, Expert Systems with Applications, Elsevier, pp. 1703-1712, 2009