[1]徐林龙[],付剑生[],蒋春恒[],等. 一种基于威尔逊区间的商品好评率排名算法[J].计算机技术与发展,2015,25(05):168-171.
　XU Lin-long[],FU Jian-sheng[],JIANG Chun-heng[],et al. A Product Ranking Algorithm Based on Wilson Interval of Users’Positive Ratings[J].,2015,25(05):168-171.
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 一种基于威尔逊区间的商品好评率排名算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年05期
页码:
168-171
栏目:
应用开发研究
出版日期:
2015-05-10

文章信息/Info

Title:
 A Product Ranking Algorithm Based on Wilson Interval of Users’Positive Ratings
文章编号:
1673-629X（2015)05-0168-04
作者:
 徐林龙[1];  付剑生[2];  蒋春恒[1] ; 林文斌[2]
 1.西南交通大学 数学学院；2.西南交通大学 物理科学与技术学院
Author(s):
 XU Lin-long[1];  FU Jian-sheng[2] ; JIANG Chun-heng[1];  LIN Wen-bin[2]
关键词:
 ; 电子商务; 商品排名; 好评率; 威尔逊区间估计
Keywords:
 ; e-commerce; product ranking; positive rating; Wilson interval estimation
分类号:
TP301.6
文献标志码:
A
摘要:
 传统基于商品好评率的排名算法在处理小样本的评价数据时，存在着明显的缺陷问题，例如小样本的排名准确性问题等。为了解决这个问题，文中通过引入威尔逊置信区间估计的概念，提出了一种利用置信区间下限值来代替好评率的改进算法。该算法综合考虑了商品好评率与评论数，能有效解决好评率排名存在的小样本准确性问题。通过真实数据上的实验表明，无论是小样本数据还是大样本数据，改进算法都能避免以上问题并提供更为可信的排名结果。
Abstract:
 When dealing with products with few rating information from users,the product ranking results using traditional ranking algo-rithm based on positive ratings are not reasonable. To solve the problem,introduce the concept of Wilson confidence interval estimation and propose an improved ranking method of using the confidence interval lower value instead of positive ratings. This algorithm compre-hensively considers both the positive ratings and the total number of ratings from users,which can effectively solve the small sampling ac-curacy problem existed in positive raking. Experiments on real data set indicate that this improved method produces better ranking results not only for the small sampling data but also for big sampling data.

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更新日期/Last Update: 2015-07-27