Personalized search-Reference-Cited by-同舟云学术

Personalized search

Published:2002-09 Issue:9 Volume:45 Page:50-55
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Pitkow James¹,Schütze Hinrich²,Cass Todd³,Cooley Rob⁴,Turnbull Don⁵,Edmonds Andy⁶,Adar Eytan⁷,Breuel Thomas¹

Affiliation:

1. PARC, Inc., Palo Alto, CA.

2. Novation Biosciences, CA.

3. Intelligent Markets, Inc., San Francisco, CA.

4. KXEN, Inc. San Francisco, CA.

5. University of Texas, Austin.

6. Vivendi, Encino, CA.

7. Hewlett-Packard Laboratories, Palo Alto, CA.

Abstract

A contextual computing approach may prove a breakthrough in personalized search efficiency.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/567498.567526

Reference4 articles.

1. eTesting Labs. Google Web Search Engine Evaluation; www.etestinglabs.com/main/reports/google.asp eTesting Labs. Google Web Search Engine Evaluation; www.etestinglabs.com/main/reports/google.asp

2. Information foraging.

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