基于用户偏好模型和评级指标的产品未来预测

2021 2nd International Conference on Computer Science and Management Technology (ICCSMT) Pub Date : 2021-11-01 DOI:10.1109/ICCSMT54525.2021.00009

Juncheng Chen

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引用次数: 0

摘要

随着互联网技术的快速发展，消费者逐渐成为网上购物者。用户偏好的推送技术越来越重要。本文根据网上购物平台的用户数据，利用用户偏好模型对文本数据进行处理，得到产品口碑与用户购买成功的相关性分析，得到产品评分指标。

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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Predicting the Future of the Products Based on User Preference Models and Rating Indicators

With the rapid development of Internet technology, consumers have gradually become online shoppers. Push technology of user preferences are increasingly important. According to the user data of online shopping platform, this paper uses the user preference model to process the text data, obtains the correlation analysis between product reputation and user purchase success, and obtains the product rating index.

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2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)

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