@article{ART003338883},
author={Yong-Min Cho and Sung-Jin Kim},
title={A Study on a Retrieval-Augmented Generation-Based for University Information},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2026},
volume={31},
number={5},
pages={67-74}
TY - JOUR
AU - Yong-Min Cho
AU - Sung-Jin Kim
TI - A Study on a Retrieval-Augmented Generation-Based for University Information
JO - Journal of The Korea Society of Computer and Information
PY - 2026
VL - 31
IS - 5
PB - The Korean Society Of Computer And Information
SP - 67
EP - 74
SN - 1598-849X
AB - The decentralized information structure of existing university websites often hinders the information retrieval efficiency of Generation Z, who are accustomed to conversational search. To address this limitation, this study proposes a Retrieval-Augmented Generation (RAG)-based academic chatbot system designed to efficiently provide decentralized academic information on university websites, reflecting the preferences of Generation Z for natural language-based conversational search. The research methodology involved collecting scattered academic data and converting it into structured text, then applying the Reciprocal Rank Fusion (RRF) algorithm to a hybrid search method that combines keyword and semantic searches to enhance retrieval accuracy.
Additionally, context-aware querying and multilingual support functions were integrated into the system design.
Through experimentation, optimal search conditions were derived to verify stable response generation capabilities, and a control layer using system prompts was established to effectively mitigate hallucinations in the generative model. In conclusion, this system is expected to improve information accessibility for students and alleviate the burden of repetitive administrative tasks for faculty and staff , thereby contributing to the overall quality improvement and operational efficiency of university administrative services.
KW - Bachelor's chatbot;Z-Generation;Hybrid Retrieval;Reciprocal Rank Fusion;Retrieval-Augmented Generation
DO -
UR -
ER -
Yong-Min Cho and Sung-Jin Kim. (2026). A Study on a Retrieval-Augmented Generation-Based for University Information. Journal of The Korea Society of Computer and Information, 31(5), 67-74.
Yong-Min Cho and Sung-Jin Kim. 2026, "A Study on a Retrieval-Augmented Generation-Based for University Information", Journal of The Korea Society of Computer and Information, vol.31, no.5 pp.67-74.
Yong-Min Cho, Sung-Jin Kim "A Study on a Retrieval-Augmented Generation-Based for University Information" Journal of The Korea Society of Computer and Information 31.5 pp.67-74 (2026) : 67.
Yong-Min Cho, Sung-Jin Kim. A Study on a Retrieval-Augmented Generation-Based for University Information. 2026; 31(5), 67-74.
Yong-Min Cho and Sung-Jin Kim. "A Study on a Retrieval-Augmented Generation-Based for University Information" Journal of The Korea Society of Computer and Information 31, no.5 (2026) : 67-74.
Yong-Min Cho; Sung-Jin Kim. A Study on a Retrieval-Augmented Generation-Based for University Information. Journal of The Korea Society of Computer and Information, 31(5), 67-74.
Yong-Min Cho; Sung-Jin Kim. A Study on a Retrieval-Augmented Generation-Based for University Information. Journal of The Korea Society of Computer and Information. 2026; 31(5) 67-74.
Yong-Min Cho, Sung-Jin Kim. A Study on a Retrieval-Augmented Generation-Based for University Information. 2026; 31(5), 67-74.
Yong-Min Cho and Sung-Jin Kim. "A Study on a Retrieval-Augmented Generation-Based for University Information" Journal of The Korea Society of Computer and Information 31, no.5 (2026) : 67-74.
