A Study on AI -Powered Recommender Systems on Expanding E-WOM and Impact of E-WOM For Social Causes Related Marketing

Abstract

Recommender systems are often used to customize suggestions to individual users. As the amount of data available online continues to swell, recommender systems have shown to be an effective method of dealing with the resulting information overload. The promise of recommender systems to alleviate many problems caused by too many options is too great to ignore. Different recommendation systems use unique approaches and principles. Many industries, from business and medicine to transportation and agriculture to the media, have begun using recommendation systems. In this article, we provide the state of the art in the study of recommender systems and point the way forward for the topic in a variety of contexts. This article presents the results of a research into the effects of e-WOM and AI-powered recommendation systems on the growth of e-WOM and the promotion of social causes.