کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
380083 | 659535 | 2008 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Evaluating the trustworthiness of advice about seller agents in e-marketplaces: A personalized approach
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
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چکیده انگلیسی
In this paper, we present a model for evaluating the trustworthiness of advice about seller agents in electronic marketplaces. In particular, we propose a novel personalized approach for effectively handling unfair ratings of sellers provided to buyer agents from other buyers (called advisors). Our approach offers flexibility for buyers to weight their value for private and public knowledge about advisors. A personalized approach is proposed as well for buyers to model the trustworthiness of sellers, based on the advice provided. Experimental results demonstrate that our approach can effectively model trustworthiness for both advisors and sellers, even when there are large numbers of unfair ratings.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electronic Commerce Research and Applications - Volume 7, Issue 3, Autumn 2008, Pages 330–340
Journal: Electronic Commerce Research and Applications - Volume 7, Issue 3, Autumn 2008, Pages 330–340
نویسندگان
Jie Zhang, Robin Cohen,