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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
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
Distributed by:
China: All Local Post Offices
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05 July-September 2023, Volume 38 Issue 4
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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.
Keyword
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