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@article{ART002862988},
author={Soojung Lee},
title={Time-aware Item-based Collaborative Filtering with Similarity Integration},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={7},
pages={93-100},
doi={10.9708/jksci.2022.27.07.093}

TY - JOUR
AU - Soojung Lee
TI - Time-aware Item-based Collaborative Filtering with Similarity Integration
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 7
PB - The Korean Society Of Computer And Information
SP - 93
EP - 100
SN - 1598-849X
AB - In the era of information overload on the Internet, the recommendation system, which is an indispensable function, is a service that recommends products that a user may prefer, and has been successfully provided in various commercial sites. Recently, studies to reflect the rating time of items to improve the performance of collaborative filtering, a representative recommendation technique, are active. The core idea of these studies is to generate the recommendation list by giving an exponentially lower weight to the items rated in the past. However, this has a disadvantage in that a time function is uniformly applied to all items without considering changes in users' preferences according to the characteristics of the items. In this study, we propose a time-aware collaborative filtering technique from a completely different point of view by developing a new similarity measure that integrates the change in similarity values between items over time into a weighted sum. As a result of the experiment, the prediction performance and recommendation performance of the proposed method were significantly superior to the existing representative time aware methods and traditional methods.
KW - Collaborative Filtering;Item-based Collaborative Filtering;Time-aware Recommender System;Similarity Measure
DO - 10.9708/jksci.2022.27.07.093
ER -

Soojung Lee. (2022). Time-aware Item-based Collaborative Filtering with Similarity Integration. Journal of The Korea Society of Computer and Information, 27(7), 93-100.

Soojung Lee. 2022, "Time-aware Item-based Collaborative Filtering with Similarity Integration", Journal of The Korea Society of Computer and Information, vol.27, no.7 pp.93-100. Available from: doi:10.9708/jksci.2022.27.07.093

Soojung Lee "Time-aware Item-based Collaborative Filtering with Similarity Integration" Journal of The Korea Society of Computer and Information 27.7 pp.93-100 (2022) : 93.

Soojung Lee. Time-aware Item-based Collaborative Filtering with Similarity Integration. 2022; 27(7), 93-100. Available from: doi:10.9708/jksci.2022.27.07.093

Soojung Lee. "Time-aware Item-based Collaborative Filtering with Similarity Integration" Journal of The Korea Society of Computer and Information 27, no.7 (2022) : 93-100.doi: 10.9708/jksci.2022.27.07.093

Soojung Lee. Time-aware Item-based Collaborative Filtering with Similarity Integration. Journal of The Korea Society of Computer and Information, 27(7), 93-100. doi: 10.9708/jksci.2022.27.07.093

Soojung Lee. Time-aware Item-based Collaborative Filtering with Similarity Integration. Journal of The Korea Society of Computer and Information. 2022; 27(7) 93-100. doi: 10.9708/jksci.2022.27.07.093

Soojung Lee. Time-aware Item-based Collaborative Filtering with Similarity Integration. 2022; 27(7), 93-100. Available from: doi:10.9708/jksci.2022.27.07.093

Soojung Lee. "Time-aware Item-based Collaborative Filtering with Similarity Integration" Journal of The Korea Society of Computer and Information 27, no.7 (2022) : 93-100.doi: 10.9708/jksci.2022.27.07.093