Impact of Product Review Summarization and Personalization on Online Consumers' Decisions: An Experimental Study

SIGMIS-CPR Pub Date : 2017-06-21 DOI:10.1145/3084381.3084433
U. MaheshBalan
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引用次数: 2

Abstract

E-commerce platforms have a plethora of information available online in the form of online product reviews and product ratings. Although these product reviews are very helpful to consumers for making their buying decisions, it becomes very difficult to extract relevant information pertaining to product features. In this study, we extend personalization to online product reviews by integrating literature from information systems, computer science and social psychology to understand how task complexity varies in different information environments. In a controlled laboratory experiment users took buying decisions in three different information environments: unstructured voluminous reviews, structured with aspect level summarization of reviews and personalized information by providing personalization based on the stated preferences of the user.
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产品评论汇总和个性化对在线消费者决策影响的实验研究
电子商务平台上有大量的在线产品评论和产品评级信息。尽管这些产品评论对消费者做出购买决定非常有帮助,但是提取与产品特性相关的信息变得非常困难。在本研究中,我们整合资讯系统、电脑科学和社会心理学的文献,将个人化扩展到线上产品评论,以了解任务复杂度在不同资讯环境下的变化。在一个受控的实验室实验中,用户在三种不同的信息环境中做出购买决策:非结构化的大量评论,结构化的方面级评论摘要,以及根据用户陈述的偏好提供个性化的个性化信息。
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