Recommendation System on Cloud Environment: A Descriptive Study on This Marketing Strategy

Abstract

Abstract: Anything that is popular and, on the trend, would be automatically recommended to the customers and non-customers in order to make them buy the product or service and make a purchase. Today's recommendation systems follow the concept that users with comparable browsing and purchase histories would make similar purchases in the future. Either a huge number of historical transactions or comprehensive information on the users' online activity are required for such a system to function. This article provides a descriptive study on how recommendation system on various Cloud Applications is carried out as a marketing strategy. Sample cloud applications of different genres are taken for the primary research. The genres include the Ott platforms, Online Music and E-commerce. A sample size of 150 is taken for the survey as primary research. These platforms differ based on diverse criteria and how the usage of the users vary based on those criteria is taken into consideration. The evaluation method or analysis is done using regression method of various applications based on the criteria provided. Through this we analyse that which application provide better recommendations, which criteria users prefer, which application perform well in recommending a product or service and which application needs to improve their recommendation system.