| 电子商务推荐系统的数据过滤 |
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| 引用本文： | 杨静. 电子商务推荐系统的数据过滤[J]. 科技和产业, 2012, 12(6): 137-139 |
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| 作者姓名： | 杨静 |
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| 作者单位： | 天津现代职业技术学院管理工程学院,天津,300350 |
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| 摘 要： | 着眼于用户和商品数据的急剧增加,所造成的电子商务推荐系统推荐质量下降的问题。在分析了系统工作流程的基础上,选择抽样算法结合前瞻算法进行数据过滤,进而据此构建系统结构框架。实验结果显示,系统推荐结果的质量和系统的性能确有较大提高。
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| 关 键 词： | 数据过滤 抽样算法 电子商务 推荐系统 |
Data Filtrating for Recommendation System in Electronic Commerce |
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| YANG Jing. Data Filtrating for Recommendation System in Electronic Commerce[J]. SCIENCE TECHNOLOGY AND INDUSTRIAL, 2012, 12(6): 137-139 |
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| Authors: | YANG Jing |
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| Affiliation: | YANG Jing (School of Management and Engineering,Tianjin Modern Vocational Technology College,Tianjin 300350,China) |
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| Abstract: | This paper takes attention to descent of recommending quantity that is resulted in the extreme increase of user and product.Bases on the analysis of the system workflow,it combines sample algorithm and lookahead algorithm for data filtrating,and then builds system’s framework.Then the algorithm is put into experiment,with much higher recommendation quality and much better performance. |
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| Keywords: | data filtrating sample algorithm E-Commerce collaborative filtering recommendation system |
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