Article ID Journal Published Year Pages File Type
865708 Tsinghua Science & Technology 2008 7 Pages PDF
Abstract
The widespread use of Internet accelerates the rapid development of business to customer electronic commerce. To reduce information overload and help their customers to make better purchase decisions, e-commerce websites are beginning to use online recommendations. This paper compares the effectiveness of three types of online recommendations, the personalized recommendation, best sellers, and consumers' reviews, which are widely used in e-commerce. This research used a laboratory experiment combined with a questionnaire. This paper also establishes an integrated model of the facts that influence recommendation effectiveness.
Related Topics
Physical Sciences and Engineering Engineering Engineering (General)
Authors
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