%0 Journal Article
%T Research of parallel recommendation algorithm based on idiotypic artificial immune network<br>基于独特型人工免疫网络的并行推荐算法的研究
%A SU Yi-dan
%A WANG Yu-cai
%A GU Xin-yi
%A <br>苏一丹
%A 王育才
%A 顾新一
%J 计算机应用
%D 2008
%I 
%X This paper analyzed the problem of recommendation quality degradation resulting from the lack of the nearest neighborhood users set's diversity in Collaborated Filtering Algorithm, and then proposed the Parallel Immune Network Recommendation algorithm (PINR). The algorithm achieves improvement in the real-time response speed while maintaining the maximum diversity of neighborhood users set. The preliminary experiment shows the feasibility, correctness and the advantage in parallel computing of this algorithm.
%K immune network
%K collaborative filtering
%K recommender algorithm
%K parallel computation<br>免疫网络
%K 协同过滤
%K 推荐算法
%K 并行计算
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=2C33665CC7B1A44A35DE2AB15C2ECD35&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=94C357A881DFC066&sid=4759DE41370E2E7A&eid=D7B9DD9E919B6180&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10