Recommendation Agents on the Internet

Journal of Interactive Marketing, Vol. 14, No. 3, Summer 2000

10 Pages Posted: 21 Nov 2015 Last revised: 20 Feb 2016

See all articles by Dawn Iacobucci

Dawn Iacobucci

Vanderbilt University - Marketing

Phipps Arabie

Rutgers, The State University of New Jersey

Anand V. Bodapati

University of California, Los Angeles (UCLA) - Anderson School of Management

Date Written: 2000

Abstract

This article examines one of the functions of "intelligent agents" used by service providers on the Internet (e.g., retailers and information search engines) that compare a user's profile to data on other users to determine which users in the database are similar to the focal user, and which recommendations (of products or information strings) might thereby be useful to the focal user. We characterize these questions as Internet modelers "rediscovering the wheel" of cluster analysis. We draw from the literature on cluster analysis to begin to address the questions being posed in this new application arena.

Suggested Citation

Iacobucci, Dawn and Arabie, Phipps and Bodapati, Anand V., Recommendation Agents on the Internet (2000). Journal of Interactive Marketing, Vol. 14, No. 3, Summer 2000 , Available at SSRN: https://ssrn.com/abstract=2693246

Dawn Iacobucci (Contact Author)

Vanderbilt University - Marketing ( email )

Nashville, TN 37203
United States

Phipps Arabie

Rutgers, The State University of New Jersey ( email )

311 North 5th Street
New Brunswick, NJ 08854
United States

Anand V. Bodapati

University of California, Los Angeles (UCLA) - Anderson School of Management ( email )

110 Westwood Plaza
Los Angeles, CA 90095-1481
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
7
Abstract Views
254
PlumX Metrics