An integrated framework for recommendation systems in e-commerce

doi:10.1108/02635570210445853

機構典藏 > College of Engineering > Graduate Institute & Department of Computer Science and Information Engineering > Journal Article > Item 987654321/45496

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/45496

Title:	An integrated framework for recommendation systems in e-commerce
Authors:	施國琛;Shih, Timothy K.;Chiu, Chuan-feng;Hsu, Hui-huang;Lin, Fuhua
Contributors:	淡江大學資訊工程學系
Keywords:	Electronic commerce;Recommendations;Internet;Agents;Computer user groups
Date:	2002-01-01
Issue Date:	2010-03-26 19:25:09 (UTC+8)
Publisher:	Emerald
Abstract:	The Internet has become a popular medium for information exchange and knowledge delivery. Several traditional social activities have moved to the Internet, such as distance learning, tele‐medical system and. traditional buying and selling activities. Online merchants must know what users want, so providing recommendation services is an important strategy. Analyzes users’ on‐line behavior and interests, and recommends to them new or potential products. The analysis mechanism is based on the correlation among customers, product items, and product features. An algorithm is developed to classify users into groups and the recommendation is based on the classification. The system can help merchants to make suitable business decisions and provide personalized information to the customers. A generic mobile agent framework for e‐commerce applications is proposed. The aforementioned collaborative computing architecture for the recommendation system is based on the framework.
Relation:	Industrial management & data systems 102(8), pp.417-431
DOI:	10.1108/02635570210445853
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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