题    目：基于线上评论数据的产品可靠性声誉评价（Evaluating reliability reputations based on online review data）

演 讲 人：曾志国博士，巴黎萨克雷大学

主 持 人：翟庆庆博士，十大正规网投官网平台(中国)有限公司

时    间：2019年7月11日（周四），上午10:00

地    点：校本部东区十大正规网投官网平台实477室

主办单位：十大正规网投官网平台(中国)有限公司、十大正规网投官网平台(中国)有限公司青年教师联谊会

演讲人简介：

    曾志国博士，巴黎萨克雷大学助理教授。2011年、2016年分别于北京航空航天大学获得工学学士、博士学位。2017年至今在巴黎萨克雷大学担任助理教授。

    研究方向包括不确定性量化与分析方法、确信可靠性理论、动态风险分析、工业工程连续性建模与分析方法等。在各类期刊与国际会议上发表了30余篇论文（其中，SCI检索19篇）。

演讲内容简介：

The traditional concept of functional reliability refers to the ability of an item to perform a required function without failure, under stated conditions for a stated period of time. Numerical indexes of functional reliability are estimated from laboratory test data or field failure data. These indexes are not always available to the customers. On the other hand, reliability reputation, which concerns the opinions of the general public regarding the functional performance of a given product, is dominant in affecting the purchase willingness of the customers. In this paper, we develop a new method for evaluating the reliability reputation of a given product. Numerical metrics are first defined to measure reliability reputation. Online customer’s reviews are collected and used as data for reliability reputation assessment. Text mining algorithms are used to extract information regarding the reliability of the product and the maintenance service of the company. Finally, an integrated approach is proposed to evaluate the reliability reputation. A case study is conducted to demonstrate the validity of the developed methods.

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