Navigating the intranet with high precision

16th International World Wide Web Conference, WWW2007

Volumn , Issue , 2007, Pages 491-500

  Zhu, Huaiyu ^a   Raghavan, Sriram ^a   Vaithyanathan, Shivakumar ^a   Löser, Alexander ^b  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b SAP RESEARCH   (Germany)

Author keywords

Enterprise search; High precision information retrieval; Intranet search

Indexed keywords

ENTERPRISE SEARCH; HIGH PRECISION INFORMATION RETRIEVAL; INTRANET SEARCH;

INTRANETS; PROBLEM SOLVING; QUERY PROCESSING; SEARCH ENGINES; WEB SERVICES; WEBSITES;

ONLINE SEARCHING;

EID: 35348866211     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1242572.1242639     Document Type: Conference Paper

References (19)

1. A. Broder. A taxonomy of web search. SIGIR Forum, 36(2):3-10, 2002.
2. A. Z. Broder and A. C. Ciccolo. Towards the next generation of enterprise search technology. IBM SYSTEMS JOURNAL, 43(3):451-454, 2004.
3. N. Craswell, D. Hawking, and S. Robertson. Effective site finding using link anchor information. In SIGIR, pages 250-257, 2001.
4. A. Dillon and B. A. Gushrowski. Genres and the WEB: Is the personal, home page the first uniquely digital, genre? Journal of the American Society of Information Science, 51(2):202-205, 2000.
5. N. Eiron and K. S. McCurley. Analysis of anchor text for web search. In SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, pages 459-460, New York, NY, USA, 2003. ACM Press.
6. R. Fagin, R. Kumar, K. S. McCurley, J. Novak, D. Sivakumar, J. A. Tomlin, and D. P. Williamson. Searching the workplace web. In WWW'03: Proceedings of the 12th international conference on World Wide Web, pages 366-375, New York, NY, USA, 2003. ACM Press.
7. M. Fontoura, E. J. Shekita, J. Y. Zien, S. Rajagopalan, and A. Neumann. High performance index build algorithms for intranet search engines. In VLDB, pages 1158-1169, 2004.
8. D. Hawking. Challenges in enterprise search. In 15th. Australasian Database Conference, 2004.
9. Java regular expressions. http://java.sun.com/docs/boo.ks/tuto.rial/ essential/regex/.
10. I.-H. Kang. Transactional query identification in Web search. In Asian Information Retrieval Symposium, 2005.
11. I.-H. Kang and G. Kim. Query type classification for web document retrieval. In SIGIR, pages 64-71, 2003.
12. I.-H. Kang and G. C. Kim. Integration of multiple evidences based on a query type for web search. Information Processing Management, 40(3):459-478, 2004.
13. B. Kessler, G. Numberg, and H. Schutze. Automatic detection of text genre. In Proceedings of the 35th annual meeting on Association for Computational Linguistics, pages 32-38, 1997.
14. W. Kraaij, T. Westerveld, and D. Hiemstra. The importance of prior probabilities for entry page search. In SIGIR '02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, pages 27-34, New York, NY, USA, 2002. ACM Press.
15. U. Lee, Z. Liu, and J. Cho. Automatic identification of user goals in web search. In WWW05, pages 391-400, 2005.
16. Y. Li, R. Krishnamurthy, S. Vaithyanathan, and H.V.Jagadish. Getting work done on the web: Supporting transactional queries. In SIGIR, 2006.
17. D. E. Rose and D. Levinson. Understanding user goals in web search. In WWW '04: Proceedings of the 13th international conference on World Wide Web, pages 13-19, New York, NY, USA, 2004. ACM Press.
18. A. Schwartz and M. Hearst. A simple algorithm, for identifying abbreviation definitions in biomedical texts. In Pacific Symposium on BioComputing, 2003.
19. T. Upstill, N. Craswell, and D. Hawking. Query-independent evidence in home page finding. ACM Trans. Inf. Syst., 21(3):286-313, 2003.