Title:	A STUDY FOR THE DESIGN AND PERFORMANCE OF THE ADAPTIVE RECOMMENDER SYSTEM - BASED ON THE CONSUMER’S PURCHASE-DECISION STAGE
Author(s):	Chaoming Wu , Yulien Hung
ISBN:	978-972-8924-55-3
Editors:	Piet Kommers and Pedro Isaías
Year:	2008
Edition:	Single
Keywords:	customer decision process, recommender system, adaptation, internet marketing
Type:	Full Paper
First Page:	427
Last Page:	433
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	As the rapid growth of many websites, “information overloading” is a critical problem for web users to search information. Many recommender systems do not take account of customer’s different purchase-decision stage. They provide the information which is not fit for customer’s need. This study takes “customer’s purchase-decision stage” into account to design and implement an “adaptive recommender system based on the consumer’s purchase-decision stage”. In order to evaluate the performance of this adaptive recommender system, a field experiment was executed. The main findings are following: (1) the recommender system with the judgment of the customer’s purchase-decision stage has better performance; (2) the recommender systems by the different kinds of algorithms for recommendation have different performance; (3) the interaction effect of “the judgment method to the customer’s purchase-decision stage” and “the algorithm for recommendation” influence the performance of the recommender system.
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