电商在线评论排序模型研究
|
摘要
在线评论是网络口碑的重要形式,对消费者做出潜在购物决定具有重要影响作用。从评论形式特征和内容特征两方面进行分析,将评论内容特征分为核心信息和辅助信息两类,利用TF-IDF算法对评论文本进行处理,并结合模糊层次分析法建立排序模型。实验表明,该模型能有效对在线评论进行排序,对消费者做出购买判断有很好的辅助作用。
Online commentary is an important form of online word-of-mouth, which has an important impact on consumers' potential shopping deci-sions. From the two aspects of comment form feature and content feature, divides the feature content of the review into core information andauxiliary information, uses the TF-IDF algorithm to process the comment text, and uses the fuzzy hierarchical analysis method to establishthe sorting model. Experiments show that the sorting model can effectively sort online comments and has a good auxiliary effect on consum-ers' purchasing judgments.
Online commentary is an important form of online word-of-mouth, which has an important impact on consumers' potential shopping deci-sions. From the two aspects of comment form feature and content feature, divides the feature content of the review into core information andauxiliary information, uses the TF-IDF algorithm to process the comment text, and uses the fuzzy hierarchical analysis method to establishthe sorting model. Experiments show that the sorting model can effectively sort online comments and has a good auxiliary effect on consum-ers' purchasing judgments.
引文
[1]中国互联网信息中心(CNNIC). 2016年中国网络购物市场研究报告[R],2016
[2]Godes D,Mayzlin D. Using Online Conversations to Study Word-of-Mouth Communication[M]. INFORMS, 2004.
[3]Mudambi S M,Schuff D. What Makes a Helpful Online Review? a Study of Customer Reviews on amazon.com[M]. Society for InformationManagement and The Management Information Systems Research Center,2010.
[4]Eric K. Clemons,Guodong Gordon Gao,Lorin M. Hitt. When Online Reviews Meet Hyperdifferentiation:A Study of the Craft Beer Indus-try[J]. Journal of Management Information Systems,2006,23(2):149-171.
[5]李志宇.在线商品评论效用排序模型研究[J].现代图书情报技术,2013(4):62-68.
[6]郭顺利,张向先,李中梅.面向用户信息需求的移动O2O在线评论有用性排序模型研究——以美团为例[J].图书情报工作,2015(23):85-93.
[7]张吉军.模糊一致判断矩阵3种排序方法的比较研究[J].系统工程与电子技术,2003,25(11):1370-1372.
[2]Godes D,Mayzlin D. Using Online Conversations to Study Word-of-Mouth Communication[M]. INFORMS, 2004.
[3]Mudambi S M,Schuff D. What Makes a Helpful Online Review? a Study of Customer Reviews on amazon.com[M]. Society for InformationManagement and The Management Information Systems Research Center,2010.
[4]Eric K. Clemons,Guodong Gordon Gao,Lorin M. Hitt. When Online Reviews Meet Hyperdifferentiation:A Study of the Craft Beer Indus-try[J]. Journal of Management Information Systems,2006,23(2):149-171.
[5]李志宇.在线商品评论效用排序模型研究[J].现代图书情报技术,2013(4):62-68.
[6]郭顺利,张向先,李中梅.面向用户信息需求的移动O2O在线评论有用性排序模型研究——以美团为例[J].图书情报工作,2015(23):85-93.
[7]张吉军.模糊一致判断矩阵3种排序方法的比较研究[J].系统工程与电子技术,2003,25(11):1370-1372.