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How to improve the diversity on collaborative filtering using tags
Jin-Hyeon Joo(주진현),Geun-Duk Park(박근덕) 한국컴퓨터정보학회 2018 韓國컴퓨터情報學會論文誌 Vol.23 No.7
In this paper, we propose how to improve the lack of diversity in collaborative filtering, using tag scores contained in items rather than ratings of items. Collaborative filtering has excellent performance among recommendation system, but it is evaluated as lacking diversity. In order to solve this problem, this paper proposes a method for supplementing diversity lacking in collaborative filtering by using tags. By using tags that can be used universally without using the characteristics of specific articles in a recommendation system, The proposed method can be used.