Computing Methods for Categorization of Buyer and seller agent in B2C
نویسنده
چکیده
Categorization orclassification is one of the important tasks in negotiation between buyer and seller(BS), in B2C Ecommerce. It is preassumed that negotiation between same category of buyer and seller isan appropriate approach. We have deployed a some computing models asBayesian, Naive Bayes, Logistics, SMA and Ada boost method for classification of BS.We have taken some cognitive and business parameters for categorization of BS agent as Outstanding, excellent,very good,good and average.Highest accuracy 98% and lowest accuracy 77% have been obtained from Bayes network and SMO respectively. Other methods havethe accuracy in between them.
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