期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 38, 期 3, 页码 2441-2454出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2010.08.033
关键词
e-Commerce; C2C; B2C; Product selection; Recommender system; Supervised learning; Fuzzy logic; Rule-based knowledge learning
类别
资金
- Regional Government of Castilla-La Mancha [PII2I09-0052-3440, PII1C09-0137-6488]
Past years have witnessed a growing interest in e-commerce as a strategy for improving business. Several paradigms have arisen from the e-commerce field in recent years which try to support different business activities, such as B2C and C2C. This paper introduces a prototype of e-commerce portal, called e-Zoco. of which main features are: (i) a catalogue service intended to arrange product categories hierarchically and describe them through sets of attributes, (ii) a product selection service able to deal with imprecise and vague search preferences which returns a set of results clustered in accordance with their potential relevance to the user, and (iii) a rule-based knowledge learning service to provide the users with knowledge about the existing relationships among the attributes that describe a given product category. The portal prototype is supported by a multi-agent infrastructure composed of a set of agents responsible for providing these and other services. (C) 2010 Elsevier Ltd. All rights reserved.
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