Deep learning based customer product rating prediction model

Yongcheon Park, Jeongmin Park, Eunkyong Lee, Kyoungchul Lee, Jiman Hong
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引用次数: 1

Abstract

Customers' review data on the items purchased at online shopping malls is actively produced and shared by potential customers in the future. The collected review data is accumulated in text format in the Database, and collective intelligence is used. In this paper, we present a deep learning model that predicts the ratings of customers' products by learning cumulative review data.
基于深度学习的客户产品评级预测模型
顾客在网上购物中心购买商品的评论数据会被主动生成,并在未来被潜在顾客分享。收集到的评审数据以文本格式积累在数据库中,并使用集体智能。在本文中,我们提出了一个深度学习模型,该模型通过学习累积评论数据来预测客户产品的评级。
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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