Referral Web

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Referral Web: combining social networks and collaborative filtering

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Communications of the ACM archive
Volume 40 , Issue 3 (March 1997) table of contents

Pages: 63 - 65

Year of Publication: 1997

ISSN:0001-0782

Authors

Henry Kautz	AT&T Labs, Florham Park, NJ
Bart Selman	AT&T Labs, Florham Park, NJ
Mehul Shah	Massachusetts Institute of Technology, Cambridge

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 89, Downloads (12 Months): 690, Citation Count: 102

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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INDEX TERMS

Primary Classification:
I. Computing Methodologies
I.2 ARTIFICIAL INTELLIGENCE
I.2.1 Applications and Expert Systems

Additional Classification:
H. Information Systems
H.2 DATABASE MANAGEMENT
H.2.1 Logical Design
H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects: Theory and methods

General Terms:
Documentation

REVIEW

"Maria Teresa Molfino : Reviewer"

Referral Web is a prototype of an interactive system that enables users to automatically find chains of experts on a given topic on the Web. To discover direct relationships between individuals, the prototype searches for names in proximity in more...

Collaborative Colleagues:

Henry Kautz: colleagues

Bart Selman: colleagues

Mehul Shah: colleagues

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