Application of intelligent agent in comparison shopping
Jin Lian-fu · Jisuanji gongcheng yu sheji · 2005
To implement comparison shopping by intelligent Agent,there are three problems to be treated: to search in mass information,personal filter according to user bias,user bias learning.Quick search is implemented by downloading and storing the content of main e-Commerce webs in local database beforehand.Information filter is implemented using key vector model in information filter.And customer bias is acquired by samples learning and feedback learning.It is implemented by these means to search fit goods for users by Agent,consequently the range of comparison shopping can be greatly extended and the efficiency can be greatly improved,and personal shopping guide is implemented.