Design of Uimprove Knowledge Payment Platform Using Artificial Intelligence and Big Data Analysis

J. Ling
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引用次数: 1

Abstract

In recent years, the in-depth development of the Internet has given birth to the learning mode of knowledge payment. Since 2016 to date, knowledge payment has gone through the process of fumbling to maturity from its infancy to emergence, and its market scale has expanded, and is expected to reach $50 billion after 2020, with college students expected to account for up to $10 billion in the interim. In this explosion of the knowledge payment industry, countless platforms have emerged and grown. However, among the existing platforms, most of them target at the whole society, and the products are many and miscellaneous, with insufficient quality control ability and low product repurchase rate. Today, with the rapid development of distributed ledger and big data mining technologies, this situation can be precisely solved.
基于人工智能和大数据分析的优步知识付费平台设计
近年来,互联网的深入发展催生了知识付费的学习模式。从2016年至今,知识付费经历了从萌芽到兴起的摸索到成熟的过程,市场规模不断扩大,预计2020年后将达到500亿美元,其间大学生预计占比高达100亿美元。在这场知识支付行业的大爆发中,无数平台应运而生并成长起来。但现有的平台大多面向全社会,产品多而杂,质量控制能力不足,产品复购率低。今天,随着分布式账本和大数据挖掘技术的快速发展,这种情况可以得到精确的解决。
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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