Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)

  • 2022.11a
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  • Pages.34-36
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  • 2022
  • /
  • 2005-0011(pISSN)
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  • 2671-7298(eISSN)
Korea Information Processing Society (한국정보처리학회)
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Content-based Movie Recommendation system based on demographic information and average ratings of genres.

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  • 일홈존 (순천향대학교 컴퓨터소프트웨어공학과) ;
  • 박두순 (순천향대학교 컴퓨터소프트웨어공학과) ;
  • 김대영 (순천향대학교 컴퓨터소프트웨어공학과)
  • Published : 2022.11.21
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Abstract

Over the last decades, information has increased exponentially due to SNS(Social Network Service), IoT devices, World Wide Web, and many others. Therefore, it was monumentally hard to offer a good service or set of recommendations to consumers. To surmount this obstacle numerous research has been conducted in the Data Mining field. Different and new recommendation models have emerged. In this paper, we proposed a Content-based movie recommendation system using demographic information of users and the average rating for genres. We used MovieLens Dataset to proceed with our experiment.

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Acknowledgement

This research was supported by the National Research Foundation of Korea (No. NRF-2022R1A2C1005921) and BK21 FOUR (Fostering Outstanding Universities for Research) (No.5199990914048) and the MSIT(Ministry of Science, ICT), Korea, under the National Program for Excellence in SW, supervised by the IITP(Institute of Information & communications Technology Planning & Evaluation) in 2021"(2021-0-01399)