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
Link To Document :
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