Automatic Personalization Based on Web Usage Mining

Bamshad Mobasher, Robert Cooley, Jaideep Srivastava

Research output: Contribution to journalArticle

772 Citations (Scopus)

Abstract

Web usage mining can help improve the scalability, accuracy, and flexibility of recommender systems.

Original languageEnglish
Pages (from-to)142-151
Number of pages10
JournalCommunications of the ACM
Volume43
Issue number8
Publication statusPublished - Aug 2000
Externally publishedYes

Fingerprint

Web Usage Mining
Recommender Systems
Personalization
Recommender systems
Scalability
Flexibility

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Hardware and Architecture
  • Software
  • Theoretical Computer Science

Cite this

Automatic Personalization Based on Web Usage Mining. / Mobasher, Bamshad; Cooley, Robert; Srivastava, Jaideep.

In: Communications of the ACM, Vol. 43, No. 8, 08.2000, p. 142-151.

Research output: Contribution to journalArticle

Mobasher, B, Cooley, R & Srivastava, J 2000, 'Automatic Personalization Based on Web Usage Mining', Communications of the ACM, vol. 43, no. 8, pp. 142-151.
Mobasher, Bamshad ; Cooley, Robert ; Srivastava, Jaideep. / Automatic Personalization Based on Web Usage Mining. In: Communications of the ACM. 2000 ; Vol. 43, No. 8. pp. 142-151.
@article{62a927202f254983a0bf994f7d34c4ba,
title = "Automatic Personalization Based on Web Usage Mining",
abstract = "Web usage mining can help improve the scalability, accuracy, and flexibility of recommender systems.",
author = "Bamshad Mobasher and Robert Cooley and Jaideep Srivastava",
year = "2000",
month = "8",
language = "English",
volume = "43",
pages = "142--151",
journal = "Communications of the ACM",
issn = "0001-0782",
publisher = "Association for Computing Machinery (ACM)",
number = "8",

}

TY - JOUR

T1 - Automatic Personalization Based on Web Usage Mining

AU - Mobasher, Bamshad

AU - Cooley, Robert

AU - Srivastava, Jaideep

PY - 2000/8

Y1 - 2000/8

N2 - Web usage mining can help improve the scalability, accuracy, and flexibility of recommender systems.

AB - Web usage mining can help improve the scalability, accuracy, and flexibility of recommender systems.

UR - http://www.scopus.com/inward/record.url?scp=0006544679&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0006544679&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0006544679

VL - 43

SP - 142

EP - 151

JO - Communications of the ACM

JF - Communications of the ACM

SN - 0001-0782

IS - 8

ER -