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| 基于独特型人工免疫网络的并行推荐算法的研究 | |
| 引用本文： | 苏一丹,王育才,顾新一.基于独特型人工免疫网络的并行推荐算法的研究[J].计算机应用,2008,28(5):1098-1100. |
| 作者姓名： | 苏一丹 王育才 顾新一 |
| 作者单位： | 1. 上海理工大学,管理学院,上海,200093;广西大学,计算机与电子信息学院,南宁,530004 2. 广西大学,计算机与电子信息学院,南宁,530004 3. 上海理工大学,管理学院,上海,200093 |
| 摘 要： | 讨论了协同过滤最近邻居用户集缺乏多样性而导致推荐质量降低的问题，提出了并行免疫推荐算法（PINR），该算法能在保持邻居用户最大多样性的基础上进一步提高算法实时响应速度，实验结果证明了算法的可行性、正确性和并行计算的优势。 |
| 关 键 词： | 免疫网络 协同过滤 推荐算法 并行计算 |
| 文章编号： | 1001-9081(2008)05-1098-03 |
| 收稿时间： | 2007-11-30 |
| 修稿时间： | 2007年11月30 |
Research of parallel recommendation algorithm based on idiotypic artificial immune network |
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| SU Yi-dan,WANG Yu-cai,GU Xin-yi.Research of parallel recommendation algorithm based on idiotypic artificial immune network[J].journal of Computer Applications,2008,28(5):1098-1100. | |
| Authors: | SU Yi-dan WANG Yu-cai GU Xin-yi |
| Affiliation: | SU Yi-dan1,2,WANG Yu-cai2,GU Xin-yi1(1.School of Management,University of Shanghai for Science , Technology,Shanghai 200093,China,2.College of Computer , Electronics Information,Guangxi University,Nanning Guangxi 530004,China) |
| Abstract: | 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. |
| Keywords: | immune network collaborative filtering recommender algorithm parallel computation |
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