@article{ART003351484},
author={JiSu Yang and Baek Jae Eun},
title={A Study on the SBERT-based Knowledge Expansion Book Recommendation Model Applicable to Public Library},
journal={Journal of the Korean Biblia Society for Library and Information Science},
issn={1229-2435},
year={2026},
volume={37},
number={2},
pages={261-282},
doi={10.14699//kbiblia.2026.37.2.261}
TY - JOUR
AU - JiSu Yang
AU - Baek Jae Eun
TI - A Study on the SBERT-based Knowledge Expansion Book Recommendation Model Applicable to Public Library
JO - Journal of the Korean Biblia Society for Library and Information Science
PY - 2026
VL - 37
IS - 2
PB - Journal Of The Korean Biblia Society For Library And Information Science
SP - 261
EP - 282
SN - 1229-2435
AB - In order to overcome the ‘semantic gap’ which is the limitation of the traditional keyword-matching- methods and to expand users’ intellectual horizons, this study proposed a contextual book recommendation model based on SBERT while actively introducing customized book recommendation services that acquire information quickly and easily. Utilizing 6,376 refined book records from the ‘Library Information Naru’ national integrated loan big data, a model implemented an effective semantic search architecture by embedding book summaries into high-dimensional vectors and utilizing a vector database(ChromaDB). Experimental results demonstrated that the proposed model achieved a Knowledge Expansion Ratio of 45.6% according to the KDC. In particular, comparative experiments with the TF-IDF model and semantic verification verified that the proposed system effectively suppresses ‘Pseudo-Expansion’-contextless recommendations arising from simple word overlaps-while facilitating intellectual leaps into diverse academic fields with semantic consistency. By securing a practical balance between recommendation precision and serendipity, this study practically mitigates the ‘filter bubble’ effect. Ultimately, this study will establish a technical foundation for supporting the core mission of public libraries fostering intellectual growth and broadening users’ exploratory boundaries.
KW - Library;Book Recommendation Model;Book Recommendation System;Semantic Gap;Knowledge Expansion Ratio;Filter Bubble;Keyword-Matching;Korean Decimal Classification
DO - 10.14699//kbiblia.2026.37.2.261
ER -
JiSu Yang and Baek Jae Eun. (2026). A Study on the SBERT-based Knowledge Expansion Book Recommendation Model Applicable to Public Library. Journal of the Korean Biblia Society for Library and Information Science, 37(2), 261-282.
JiSu Yang and Baek Jae Eun. 2026, "A Study on the SBERT-based Knowledge Expansion Book Recommendation Model Applicable to Public Library", Journal of the Korean Biblia Society for Library and Information Science, vol.37, no.2 pp.261-282. Available from: doi:10.14699//kbiblia.2026.37.2.261
JiSu Yang, Baek Jae Eun "A Study on the SBERT-based Knowledge Expansion Book Recommendation Model Applicable to Public Library" Journal of the Korean Biblia Society for Library and Information Science 37.2 pp.261-282 (2026) : 261.
JiSu Yang, Baek Jae Eun. A Study on the SBERT-based Knowledge Expansion Book Recommendation Model Applicable to Public Library. 2026; 37(2), 261-282. Available from: doi:10.14699//kbiblia.2026.37.2.261
JiSu Yang and Baek Jae Eun. "A Study on the SBERT-based Knowledge Expansion Book Recommendation Model Applicable to Public Library" Journal of the Korean Biblia Society for Library and Information Science 37, no.2 (2026) : 261-282.doi: 10.14699//kbiblia.2026.37.2.261
JiSu Yang; Baek Jae Eun. A Study on the SBERT-based Knowledge Expansion Book Recommendation Model Applicable to Public Library. Journal of the Korean Biblia Society for Library and Information Science, 37(2), 261-282. doi: 10.14699//kbiblia.2026.37.2.261
JiSu Yang; Baek Jae Eun. A Study on the SBERT-based Knowledge Expansion Book Recommendation Model Applicable to Public Library. Journal of the Korean Biblia Society for Library and Information Science. 2026; 37(2) 261-282. doi: 10.14699//kbiblia.2026.37.2.261
JiSu Yang, Baek Jae Eun. A Study on the SBERT-based Knowledge Expansion Book Recommendation Model Applicable to Public Library. 2026; 37(2), 261-282. Available from: doi:10.14699//kbiblia.2026.37.2.261
JiSu Yang and Baek Jae Eun. "A Study on the SBERT-based Knowledge Expansion Book Recommendation Model Applicable to Public Library" Journal of the Korean Biblia Society for Library and Information Science 37, no.2 (2026) : 261-282.doi: 10.14699//kbiblia.2026.37.2.261
