کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10321576 | 659537 | 2005 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Evolutionary intelligent agents for e-commerce: Generic preference detection with feature analysis
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Product recommendation and preference tracking systems have been adopted extensively in e-commerce businesses. However, the heterogeneity of product attributes results in undesired impediment for an efficient yet personalized e-commerce product brokering. Amid the assortment of product attributes, there are some intrinsic generic attributes having significant relation to a customer's generic preference. This paper proposes a novel approach in the detection of generic product attributes through feature analysis. The objective is to provide an insight to the understanding of customers' generic preference. Furthermore, a genetic algorithm is used to find the suitable feature weight set, hence reducing the rate of misclassification. A prototype has been implemented and the experimental results are promising.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electronic Commerce Research and Applications - Volume 4, Issue 4, Winter 2005, Pages 377-394
Journal: Electronic Commerce Research and Applications - Volume 4, Issue 4, Winter 2005, Pages 377-394
نویسندگان
Sheng-Uei Guan, Tai Kheng Chan, Fangming Zhu,