基于MI算法的电子商务智能语音系统建模

V. Kiruthiga, Sunanda Kondapalli, Varun Gupta, R. Aarthy, J. Sasidevi, C. S. Kumar
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引用次数: 0

摘要

下一代将需要这样的电子商务网站,随着传统技术的复兴,更现代的技术和先进技术的使用,其中很大一部分电子商务目前是在这种革命和创造性突破的基础上创造的,比如机器人化。这些网站的大多数企业或所有者都在发送更独特的网站,而不是传统的列表和静态网站,因此机器学习,加上人工智能和深度学习,这些都是需求和非常必要的,应该整合到目前的电子商务网站中,为这些网站的所有者提供最好的和有利可图的服务。随着技术进步的加速,人工智能在商业和生活各个领域的重要性也在增加。在语音识别中使用人工智能可以帮助组织和个人了解如何为利益相关者提供更好的服务并有效地完成任务。因此,这项工作的重点是利用回归分析来分析在语音识别中使用人工智能的关键因素,以实现成功的多用途机器学习平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling of an Intelligent Voice System using MI Algorithm for E-Business
The next generation will require of such commerce site with the renaissance of conventional technology to more current technology and use of advanced technology, where a large portion of e-commerce are presently created on back of such revolution and inventive breakthroughs like robotization. Most of businesses or owner(s) of these sites are sending off more unique sites rather than conventional list and static sites, so machine learning, augmented with man-made brainpower, and deep learning, which are in demand and profoundly necessary, should be integrated into the present e-commerce sites to be best and profitable for the owners of these sites. The importance of artificial intelligence in various spheres of business and life has increased as a result of the accelerated technological advancement. The use of AI in voice recognition helps organisations and individuals understand how to provide stakeholders with better services and effectively completes the task. Therefore, this work focuses on utilising regression analysis to analyse the critical factors of employing AI in speech recognition for a successful multipurpose Machine Learning platform.
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