Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2019.10a
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- Pages.716-719
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- 2019
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Collaborative Filtering in Recommendation Systems: Idea and Evaluation
추천 시스템의 협업 필터링: 아이디어와 평가
- Kim, Joosung (James) (Cornerstone Collegiate Academy of Seoul)
- 김주성 (코너스톤 서울아카데미)
- Published : 2019.10.30
Abstract
Collaborative filtering has been used frequently as a recommendation system. To reduce the errors on predicting the ratings that may be given by the user, we propose a new aggregation method to do so. We used a real-world dataset MovieLens to compare our proposed method from previously existing methods, and accordingly to the results, ours was more accurate.
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