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Design and Implementation of a Personalized Recipe Recommendation System Based on Jaccard Similarity

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2026, 31(2), pp.161~171
  • DOI : 10.9708/jksci.2026.31.02.161
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : November 18, 2025
  • Accepted : January 23, 2026
  • Published : February 27, 2026

Yeong-Woong Jo 1 Han-Jun Jung 1 Yong-Won Jo 1 Wu-Jin Jang 1 Kyeong-Sook Han 1

1한국공학대학교

Accredited

ABSTRACT

In recent years, the number of single‑person households has steadily increased, and these households tend to use online shopping and convenience stores more frequently than multi‑person households. Against this backdrop, this study proposes a personalized recipe recommendation system designed to save time and reduce costs for busy single‑person households. The proposed system leverages Jaccard similarity on users’ recipe search histories and recommends recipes tailored to each individual based on profile information—available ingredients, available cooking tools, and allergy data. Through the UI, users can choose which aspects of their profile to include in the recommendation, and they can view the similarity between up to five of their most recently searched recipes and each recommended recipe.

Citation status

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