%0 Journal Article
%T An Algorithm for Goods Implicit Rating based on Web Pages Semantic Similarity<br>基于网页语义相似性的商品隐性评分算法
%A CHEN Dong-lin
%A NIE Gui-hua
%A LIU Ping-feng
%A <br>陈冬林
%A 聂规划
%A 刘平峰
%J 系统工程理论与实践
%D 2006
%I 
%X On the basis of analyzing the recommendation system of e-commerce and algorithm existing problem at present,recommend algorithms,and put forward a kind of accurate implicit Rating approach based on Web Pages Semantic Similarity.By exploiting goods knowledge distributed in different Web pages,a CA(Goods Concpet-Attribute Matrix) model was structured which combines goods attributes,related goods and those distribution.Using thesaurus(e.g.,WordNet) to calculate the Semantic Similarity of Web pages of the user's current access path,a semantics-based implicit rating model was presented in this paper.An example of calculating process was showed.Experimental evaluation demonstrated this approach was more accurate than traditional Implicit Rating algorithms.
%K implicit rating
%K semantic similarity
%K goods attributes
%K collaborative filtering
%K E-commerce<br>隐性评分
%K 语义相似度
%K 商品属性
%K 协同过滤
%K 电子商务
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=36B49307411A454F&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=708DD6B15D2464E8&sid=10F298ED9F164662&eid=331211A5F5616413&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=0&reference_num=14