Krishna Bharat
George A. Mihaila
- Kleinberg 97.J. Kleinberg. Authoritative sources in a hyperlinked environment. To appear in the Journal of the ACM, 1999. Also appears as IBM Research Report RJ 10076, May 1997. http://www.cs.cornell.edu/home/kleinber/auth.ps Google Scholar
Digital Library
- Chakrabarti et al 98.S. Chakrabarti, B. Dom, D. Gibson, J. Kleinberg, P. Raghavan, and S. Rajagopalan. Automatic Resource Compilation by Analyzing Hyperlink Structure and Associated Text. Proceedings of the 7th World-Wide Web conference, 1998. http://decweb.ethz.ch/WWW7/1898/com1898.htm Google ScholarDigital Library
- Chakrabarti et al 99.S. Chakrabarti, M. van den Berg and B. Dom. Focused crawling: A new approach to topic-specific Web resource discovery. In the 8th World Wide Web Conference, Toronto, May 1999. http://www.cs.berkeley.edu/~soumen/doc/www99focus/html/ Google ScholarDigital Library
- Bharat et al 98.K. Bharat and M. Henzinger. Improved algorithms for topic distillation in a hyperlinked environment. In SIGIR Conference on Research and Development in Information Retrieval, volume 21. ACM, 1998. ftp://ftp.digital.com/pub/DEC/SRC/publications/monika/sigir98.pdf Google ScholarDigital Library
- Page et al 98.S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. In WWW Conference, volume 7, 1998. http://www7.scu.edu.au/programme/fullpapers/1921/com1921.htm Google ScholarDigital Library
- Lempel et al 00.R. Lempel and S. Moran The Stochastic Approach for Link-Structure Analysis (SALSA) and the TKC Effect. 9th World Wide Web Conference, Amsterdam, May 2000. http://www9.org/w9cdrom/175/175.html. Google ScholarDigital Library
- McBryan 94.Oliver A. McBryan. GENVL and WWWW: Tools for Taming the Web. First International Conference on the World Wide Web. CERN, Geneva (Switzerland), May 25-26-27 1994. http://www.cs.colorado.edu/home/mcbryan/mypapers/www94.psGoogle Scholar
Index Terms
- When experts agree: using non-affiliated experts to rank popular topics
Recommendations
When experts agree: using non-affiliated experts to rank popular topics
In response to a query, a search engine returns a ranked list of documents. If the query is about a popular topic (i.e., it matches many documents), then the returned list is usually too long to view fully. Studies show that users usually look at only ...
Knowledge acquisition from multiple experts
Special issue on knowledge acquisitionThe traditional method of knowledge acquisition when constructing a knowledge-based (expert) system is to depend primarily upon a single source, usually an expert in the domain under consideration. This approach has several advantages: no need to ...
An experiment in agent teaching by subject matter experts
This paper presents a successful knowledge-acquisition experiment in which subject matter experts who did not have any prior knowledge-engineering experience succeeded in teaching the Disciple- COA agent how to critique courses of action, a challenge ...
Comments