An efficient web recommendation system based on modified IncSpan algorithm

U. Niranjan, V. V. Krishna, Kanduri Srividya, V. Khanaa
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引用次数: 1

Abstract

Web recommendation systems are used to assist the user to access the most appropriate web pages that can satisfy their needs. This paper provides the web recommendation system which is based on incremental database. The incremental database contains the new navigational sequences from the user and this incremental database can be added with the existing sequence database. We have proposed a novel algorithm, called modified IncSpan, for the effectual mining of the sequential patterns from the incremental database. Finally, the performance of the proposed recommendation system is evaluated with precision, applicability and hit ratio.
基于改进IncSpan算法的高效web推荐系统
网络推荐系统是用来帮助用户访问最合适的网页,可以满足他们的需求。本文提出了一种基于增量数据库的web推荐系统。增量数据库包含来自用户的新的导航序列,该增量数据库可以与现有的序列数据库一起添加。为了从增量数据库中有效地挖掘序列模式,我们提出了一种新的算法——改进的IncSpan。最后,对推荐系统的精度、适用性和命中率进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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