Recommender systems: Are users taking the recommendations seriously?

D. R., Aishwarya Korishettar
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Abstract

In recent years, we have observed substantial choices provided to consumers due to the rise of e-commerce. The products and the product-related suggestions provided by the various recommender systems have been found to be noteworthy given the enormous data available and information overload. The customers are not worried about the complexity of these algorithms but want the automated process to recommend product-related items of their choices. The study is an attempt to understand whether customers make purchase decisions online using the suggestions recommended across various product lines. For the study, responses of the customers were collected using a structured questionnaire and results were analysed to examine if respondents of different demographic characteristics make purchase related decisions based on the suggestions by recommendation systems.
推荐系统:用户会认真对待推荐吗?
近年来,我们注意到,由于电子商务的兴起,消费者有了大量的选择。各种推荐系统提供的产品和与产品相关的建议值得注意,因为有大量的可用数据和信息过载。客户并不担心这些算法的复杂性,而是希望自动化过程能够推荐他们选择的与产品相关的商品。这项研究试图了解消费者是否会根据各种产品线的建议做出在线购买决定。在本研究中,使用结构化问卷收集客户的反馈,并分析结果,以检查不同人口统计特征的受访者是否根据推荐系统的建议做出购买相关决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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