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Received:August 15, 2011 Revised:September 14, 2011
Received:August 15, 2011 Revised:September 14, 2011
中文摘要: 短信营销业务是近年来发展较快的短信业务之一,而随着该项业务的广泛应用,对短信的过滤匹配功能也提出了更高的要求。结合短信营销业务的特性,提出了一种高效的短信过滤匹配算法。算法依据短信分片特征值进行短信过滤,采用位向量法、编辑距离算法进行短信匹配,实现了高效的海量短信过滤匹配功能。文中给出了特征值算法的详细步骤,并对算法的有效性和正确性进行了分析对比。
Abstract:SMS marketing is growing at a fast rate in the past few years. As this business is widely used, the requirement for the filtering and matching function of the short message is becoming increasingly higher. Having considering some characteristics of SMS advertising, we present an algorithm for effective text filtering and matching in this article. More specifically, the algorithm is briefly described as followed: firstly, text is filtered based on its eigenvalue and secondly using bit-vector method and Levenshtein Distance algorithm to match two candidate short messages thereby realizing the efficiency of mass short message filtering and matching function. This paper describes the details on calculation of text eigenvalue and presents the analysis on the effectiveness and correctness of this algorithm.
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基金项目:国家自然科学基金(61072057,60902051);国家973 计划(2012CB315802);中央高校基本科研业务费专项资金(BUPT2009RC0505);国家科技重大专项(2011ZX03002-001-01,2011ZX03002-002-01)
引用文本：
钱苏林,李炜,王晶.一种基于特征值的短信过滤匹配算法.计算机系统应用,2012,21(5):55-62
QIAN Su-Lin,LI Wei,WANG Jing.Short Message Filtering and Matching Algorithm Based on Eigenvalues.COMPUTER SYSTEMS APPLICATIONS,2012,21(5):55-62
钱苏林,李炜,王晶.一种基于特征值的短信过滤匹配算法.计算机系统应用,2012,21(5):55-62
QIAN Su-Lin,LI Wei,WANG Jing.Short Message Filtering and Matching Algorithm Based on Eigenvalues.COMPUTER SYSTEMS APPLICATIONS,2012,21(5):55-62
