# Generation and annotation of item usage scenarios in e-commerce using large language models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/generation-and-annotation-of-item-usage-scenarios-in-e-commerce-using-large/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Madoka Hagiri,Kazushi Okamoto,Koki Karube,Kei Harada,Atsushi Shibata |
| Citations | 0 |
| DOI | 10.48550/arxiv.2510.07885 |
| Fields | Computer Science,Decision Sciences |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2510.07885 |
| OpenAlex ID | https://openalex.org/W4416399863 |
| Type | preprint |
| Year | 2025 |

## Paper authors

- [Koki Karube](https://scholariq.org/researchers/koki-karube/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Recommender Systems and Techniques](https://scholariq.org/topics/recommender-systems-and-techniques/)

## Paper topics

- [Recommender Systems and Techniques](https://scholariq.org/topics/recommender-systems-and-techniques/)
- [AI in Service Interactions](https://scholariq.org/topics/ai-in-service-interactions/)
- [Technology Adoption and User Behaviour](https://scholariq.org/topics/technology-adoption-and-user-behaviour/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.