Correlation Analysis between Rating Time and Values for Time-aware Collaborative Filtering Systems (시간 인지 협력 필터링 시스템을 위한 평가 시간과 평가치의 상관 분석)

Soojung Lee (이수정)

doi:10.9708/jksci.2023.28.05.075

Correlation Analysis between Rating Time and Values for Time-aware Collaborative Filtering Systems

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2023, 28(5), pp.75-82
DOI : 10.9708/jksci.2023.28.05.075
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : April 10, 2023
Accepted : May 8, 2023
Published : May 31, 2023

Soojung Lee ¹

¹경인교육대학교

Accredited

ABSTRACT

In collaborative filtering systems, the item rating prediction values calculated by the systems are very important for customer satisfaction with the recommendation list. In the time-aware system, predictions are calculated by reflecting the rating time of users, and in general, exponentially lower weights are assigned to past rating values. In this study, to find out whether the influence of rating time on the rating value varies according to various factors, the correlation between user rating value and rating time is investigated by the degree of user rating activity, the popularity of items, and item genres. As a result, using two types of public datasets, especially in the sparse dataset, significantly different correlation index values were obtained for each factor. Therefore, it is confirmed that the influence weight of the rating time on the rating prediction value should be set differently in consideration of the above-mentioned various factors as well as the density of the dataset.

KEYWORDS

Time-aware Recommender System, Collaborative Filtering, Memory-based Collaborative Filtering, Pearson Correlation, Correlation Analysis

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

Correlation Analysis between Rating Time and Values for Time-aware Collaborative Filtering Systems

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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

Correlation Analysis between Rating Time and Values for Time-aware Collaborative Filtering Systems

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KEYWORDS

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