节点文献
电商在线评论排序模型研究
Research on E-Commerce Online Comment Sorting Model
【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。
【Abstract】 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.
- 【文献出处】 现代计算机(专业版) ,Modern Computer , 编辑部邮箱 ,2019年02期
- 【分类号】F724.6;F274
- 【被引频次】1
- 【下载频次】179