摘要
本研究以信息采纳模型为理论支撑,将文本型评论与数值型评论的一致性进行量化,与其他可信度影响因素相结合,提出了一种在线商品评论信息可信度的排序方法,对淘宝中买家给出的评论按照可信度大小进行排序。结果能够反映淘宝中信誉评价的真实情况,帮助买家购买决策。
Applying information adoption model, this research quantifies the consistency of digital type comments and textual comments on the basis of previous research, puts them into the credibility factor of influencing factors, and suggests a new information credibility ranking method of online reviews. Comments in Taobao. com were sorted using this method, the results can reflect the actual circum-stances of the credit evaluation, thus help buyers make the decision.
出处
《情报杂志》
CSSCI
北大核心
2015年第3期181-185,共5页
Journal of Intelligence
关键词
信息采纳模型
评论一致性
评论可信度
文本型评论
数值型评论
information adoption model
consistency of comments
credibility of comments
textual comments
digital type comments
