Deep Learning Based Customer Product Rating Prediction Model

被引：0

作者：

Park, Yongcheon ^{[1
]}

Park, Jeongmin ^{[2
]}

Lee, Eunkyong ^{[1
]}

Lee, Kyoungchul ^{[2
]}

Hong, Jiman ^{[1
]}

机构：

[1] Soongsil Univ, Seoul, South Korea

[2] DIBA Lab, Seoul, South Korea

来源：

PROCEEDINGS OF THE 2018 CONFERENCE ON RESEARCH IN ADAPTIVE AND CONVERGENT SYSTEMS (RACS 2018) | 2018年

基金：

新加坡国家研究基金会;

关键词：

Prediction model; Data mining; Neural Network;

D O I：

10.1145/3264746.3264814

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：203 / 204

页数：2