@article{ART002881046},
author={Soojung Lee},
title={Time-aware Collaborative Filtering with User- and Item-based Similarity Integration},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={9},
pages={149-155},
doi={10.9708/jksci.2022.27.09.149}
TY - JOUR
AU - Soojung Lee
TI - Time-aware Collaborative Filtering with User- and Item-based Similarity Integration
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 9
PB - The Korean Society Of Computer And Information
SP - 149
EP - 155
SN - 1598-849X
AB - The popularity of e-commerce systems on the Internet is increasing day by day, and the recommendation system, as a core function of these systems, greatly reduces the effort to search for desired products by recommending products that customers may prefer. The collaborative filtering technique is a recommendation algorithm that has been successfully implemented in many commercial systems, but despite its popularity and usefulness in academia, the memory-based implementation has inaccuracies in its reference neighbor. To solve this problem, this study proposes a new time-aware collaborative filtering technique that integrates and utilizes the neighbors of each item and each user, weighting the recent similarity more than the past similarity with them, and reflecting it in the recommendation list decision. Through the experimental evaluation, it was confirmed that the proposed method showed superior performance in terms of prediction accuracy than other existing methods.
KW - Collaborative Filtering;Memory-based Collaborative Filtering;Time-aware Recommender System;Similarity Measure
DO - 10.9708/jksci.2022.27.09.149
ER -
Soojung Lee. (2022). Time-aware Collaborative Filtering with User- and Item-based Similarity Integration. Journal of The Korea Society of Computer and Information, 27(9), 149-155.
Soojung Lee. 2022, "Time-aware Collaborative Filtering with User- and Item-based Similarity Integration", Journal of The Korea Society of Computer and Information, vol.27, no.9 pp.149-155. Available from: doi:10.9708/jksci.2022.27.09.149
Soojung Lee "Time-aware Collaborative Filtering with User- and Item-based Similarity Integration" Journal of The Korea Society of Computer and Information 27.9 pp.149-155 (2022) : 149.
Soojung Lee. Time-aware Collaborative Filtering with User- and Item-based Similarity Integration. 2022; 27(9), 149-155. Available from: doi:10.9708/jksci.2022.27.09.149
Soojung Lee. "Time-aware Collaborative Filtering with User- and Item-based Similarity Integration" Journal of The Korea Society of Computer and Information 27, no.9 (2022) : 149-155.doi: 10.9708/jksci.2022.27.09.149
Soojung Lee. Time-aware Collaborative Filtering with User- and Item-based Similarity Integration. Journal of The Korea Society of Computer and Information, 27(9), 149-155. doi: 10.9708/jksci.2022.27.09.149
Soojung Lee. Time-aware Collaborative Filtering with User- and Item-based Similarity Integration. Journal of The Korea Society of Computer and Information. 2022; 27(9) 149-155. doi: 10.9708/jksci.2022.27.09.149
Soojung Lee. Time-aware Collaborative Filtering with User- and Item-based Similarity Integration. 2022; 27(9), 149-155. Available from: doi:10.9708/jksci.2022.27.09.149
Soojung Lee. "Time-aware Collaborative Filtering with User- and Item-based Similarity Integration" Journal of The Korea Society of Computer and Information 27, no.9 (2022) : 149-155.doi: 10.9708/jksci.2022.27.09.149