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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      05 July-September 2023, Volume 38 Issue 4
    Article

    ENTREPRENEURIAL RECOMMENDATION SYSTEM FOR ANIMES TO INCREASE CUSTOMER SATISFACTION AND REVENUE GENERATION USING ARTIFICIAL INTELLIGENCE AND SOCIAL MEDIA MARKETING
    Prof. (Dr.) Broto Rauth Bhardwaj, Medhavi Bhardwaj, Sheena Gaur, Shweta Sinha
    Journal of Data Acquisition and Processing, 2023, 38 (4): 2094-2107 . 

    Abstract

    Purpose: The purpose of the research paper is to design entrepreneurial recommender system for recommending anime to customers on the basis of customers’ purchase data history and customers’ rating and customers’ preferences. Methodology: Trying out a particular combination of parameters to build a recommendation system that will recommend new animes to the customers by analysing their purchase data history and customers’ preferences. Thus, the revenue of the streaming platforms will increase due to increased customers’ engagement, higher customer ratings, and customers’ satisfaction. Findings: To increase customer satisfaction and thus generate more customer engagements and subscriptions and increase the revenue generation of companies.

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ISSN 1004-9037

         

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