DocumentCode
931745
Title
Recommendation technology: will it boost e-commerce?
Author
Leavitt, Neal
Volume
39
Issue
5
fYear
2006
fDate
5/1/2006 12:00:00 AM
Firstpage
13
Lastpage
16
Abstract
Recommendation engines are becoming a critical part of many e-commerce sites. The approach uses complex algorithms to analyze large volumes of data and determine what products that potential consumers might want to buy based on their stated preferences, online shopping choices, and the purchases of people with similar tastes or demographics. Recommendation technology must also be able to reach out to small and medium-size businesses and be robust and cost-effective.
Keywords
electronic commerce; retail data processing; small-to-medium enterprises; complex algorithm; demographics; e-commerce sites; medium-size business; online shopping choices; recommendation engine technology; small-size business; Collaborative work; DVD; Engines; Filtering; History; Market research; Marketing and sales; Online Communities/Technical Collaboration; Shape; World Wide Web; E-commerce; Recommendation technology;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2006.176
Filename
1631932
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