计算机应用研究2016，Vol.33Issue(12)：3559-3561,3590,4.DOI:10.3969/j.issn.1001-3695.2016.12.009
在线商品评论有用性影响因素研究
Research on impact factors of online reviews’helpfulness based on product reviews data
摘要
Abstract
A large number of invalid and even malicious reviews have been occurring with the development of online business. It takes the negative impact in reading and referencing for consumers.Motivated by this problem,this paper proposed a me-thod based on the multiple linear regression algorithm to predict the helpfulness of online reviews.The method first considered three influencing factors including reviews’text properties,reviewers’properties and stores’properties,then it created an RRS-L model to predict the helpfulness of online reviews.Experimental results conducted on real data sets show that the model can achieve higher precision and recall rates,and effectively filter useless reviews.关键词
在线评论/有用性/影响因素/预测模型Key words
online review/helpfulness/influencing factor/predictive model分类
信息技术与安全科学引用本文复制引用
胡学钢,陈方鑫,张玉红..在线商品评论有用性影响因素研究[J].计算机应用研究,2016,33(12):3559-3561,3590,4.基金项目
国家自然科学基金资助项目（61305063，61273292）；国家教育部博士点博导基金资助项目 （）
