Current Result Document :
| 한글제목(Korean Title) |
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| 영문제목(English Title) |
Content-based Movie Recommendation system based on demographic information and average ratings of genres. |
| 저자(Author) |
일홈존
박두순
김대영
Sadriddinov Ilkhomjon Rovshan Ugli
Doo-Soon Park
Dae-Young Kim
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| 원문수록처(Citation) |
VOL 29 NO. 02 PP. 0034 ~ 0036 (2022. 11) |
한글내용
(Korean 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. |
영문내용
(English Abstract) |
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| 키워드(Keyword) |
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