Improving the Persuasiveness of RAG-based Recommendation Reasons using Bipartite Graph Exploration –Interactive cosmetics Recommendation System–

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Joho Chishiki Gakkaishi
Published
2025-11-13
DOI
https://doi.org/10.2964/jsik_2025_037
Primary Topic
Recommender Systems and Techniques
Type
article
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article

Improving the Persuasiveness of RAG-based Recommendation Reasons using Bipartite Graph Exploration –Interactive cosmetics Recommendation System–

Takayasu Fushimi, Ryoma ARAKAKI
Joho Chishiki Gakkaishi
Recommender Systems and Techniques
article

Improving the Persuasiveness of RAG-based Recommendation Reasons using Bipartite Graph Exploration –Interactive cosmetics Recommendation System–

Takayasu Fushimi, Ryoma ARAKAKI
article en

Abstract

No abstract available for this paper.
Joho Chishiki Gakkaishi
Tokyo University of Technology (JP)
Openalex Percentile: Top 52%
Recommender Systems and Techniques
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Improving the Persuasiveness of RAG-based Recommendation Reasons using Bipartite Graph Exploration –Interactive cosmetics Recommendation System– — Takayasu Fushimi, Ryoma ARAKAKI · Joho Chishiki Gakkaishi (2025) | TGRS Research Map | TGRS