%0 Journal Article
%T Research on collaborative filtering algorithm based on item''''s attribute implicit rating<br>基于商品属性隐性评分的协同过滤算法研究
%A CHEN Dong-lin
%A NIE Gui-hua
%A <br>陈冬林
%A 聂规划
%J 计算机应用
%D 2006
%I 
%X After analyzing the previous work of recommendation system and algorithm, a recommendation algorithm based on Web daily record was presented which was accurate and efficient. Based on the behavior of customers, a CGA(Customer-Good-Attribute) model was designed which considered synthetically such factors as times, trails,commodities attributes and those distribution in Web pages.The function to the customers' implicit rating of the attributes of commodities was discussed,and a case was given. Then a filter algorithm was put forward based on attributes of goods. An experience result indicated that the algorithm is effective.
%K item's attribute
%K implicit rating
%K collaborative filtering
%K E-commerce<br>商品属性
%K 隐性评分
%K 协同过滤
%K 电子商务
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=577059BF241888EC&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=E158A972A605785F&sid=7EEA6F8DDD9FAD6E&eid=20154CF366EC08B1&journal_id=1001-9081&journal_name=计算机应用&referenced_num=3&reference_num=11