Jaccard Index Reflecting Time-Context for User-based Collaborative Filtering (사용자 기반 협력 필터링을 위한 시간 맥락을 반영한 자카드 계수)

Soojung Lee (이수정)

doi:10.9708/jksci.2023.28.10.163

Jaccard Index Reflecting Time-Context for User-based Collaborative Filtering

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2023, 28(10), pp.163-170
DOI : 10.9708/jksci.2023.28.10.163
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : September 25, 2023
Accepted : October 17, 2023
Published : October 31, 2023

Soojung Lee ¹

¹경인교육대학교

Accredited

ABSTRACT

The user-based collaborative filtering technique, one of the implementation methods of the recommendation system, recommends the preferred items of neighboring users based on the calculations of neighboring users with similar rating histories. However, it fundamentally has a data scarcity problem in which the quality of recommendations is significantly reduced when there is little common rating history. To solve this problem, many existing studies have proposed various methods of combining Jaccard index with a similarity measure. In this study, we introduce a time-aware concept to Jaccard index and propose a method of weighting common items with different weights depending on the rating time. As a result of conducting experiments using various performance metrics and time intervals, it is confirmed that the proposed method showed the best performance compared to the original Jaccard index at most metrics, and that the optimal time interval differs depending on the type of performance metric.

KEYWORDS

Jaccard Index, Data Sparsity Problem, Similarity Measure, Collaborative Filtering, Time-aware Recommender System

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Jaccard Index Reflecting Time-Context for User-based Collaborative Filtering

ABSTRACT

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Jaccard Index Reflecting Time-Context for User-based Collaborative Filtering

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.