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Xinzhe Li

Orcid: 0000-0001-8709-6751

Affiliations:
  • Kyung Hee University, Department of Big Data Analytics, Seoul, Korea


According to our database1, Xinzhe Li authored at least 11 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Reducing contextual noise in review-based recommendation via aspect term extraction and attention modeling.
[BibTeX]
[DOI]
Heena Lim
,
Xinzhe Li
,
Seonu Park
,
Qinglong Li
,
Jaekyeong Kim
Inf. Sci., 2026

Instruction-Tuned Large Language Models for Review Helpfulness Prediction: An Efficient Fine-Tuning Framework for E-Commerce Review Understanding.
[BibTeX]
[DOI]
Xinzhe Li
,
Qinglong Li
,
Jaekyeong Kim
Expert Syst. J. Knowl. Eng., 2026

What makes a review helpful? A multimodal prediction model in e-commerce.
[BibTeX]
[DOI]
Heena Lim
,
Seonu Park
,
Qinglong Li
,
Xinzhe Li
,
Jaekyeong Kim
Electron. Commer. Res. Appl., 2026

Enhancing Multimodal Recommender System Performance Using Large Language Models.
[BibTeX]
[DOI]
Soohyun Woo
,
Seonu Park
,
Xinzhe Li
,
Seongkook Lee
,
Jaekyeong Kim
IEEE Access, 2026

Beyond Sentiment: A Dual-Channel Approach to Emotion and Review Summarization for Recommendation.
[BibTeX]
[DOI]
Sungjoo Pyo
,
Suji Kim
,
Xinzhe Li
,
Jaekyeong Kim
IEEE Access, 2026

2025
A BERT-based review helpfulness prediction model utilizing consistency of ratings and texts.
[BibTeX]
[DOI]
Xinzhe Li
,
Qinglong Li
,
Dongyeop Ryu
,
Jaekyeong Kim
Appl. Intell., April, 2025

A Deep Learning-Based Review Helpfulness Prediction System for Online Beauty Products.
[BibTeX]
[DOI]
Sooil Kim
,
Seonu Park
,
Xinzhe Li
,
Jaekyeong Kim
IEEE Access, 2025

Utilizing Advanced Transformers for Summarized Review-Aware Recommender System.
[BibTeX]
[DOI]
Suji Kim
,
Li Jin
,
Qinglong Li
,
Xinzhe Li
,
Chulkyoon Yoon
,
Jaekyeong Kim
IEEE Access, 2025

2024
Review-Based Recommender System Using Outer Product on CNN.
[BibTeX]
[DOI]
Sein Hong
,
Xinzhe Li
,
Sigeon Yang
,
Jaekyeong Kim
IEEE Access, 2024

2023
A Review Helpfulness Modeling Mechanism for Online E-commerce: Multi-Channel CNN End‑to‑End Approach.
[BibTeX]
[DOI]
Xinzhe Li
,
Qinglong Li
,
Jaekyeong Kim
Appl. Artif. Intell., December, 2023

Impact on recommendation performance of online review helpfulness and consistency.
[BibTeX]
[DOI]
Jaeseung Park
,
Xinzhe Li
,
Qinglong Li
,
Jaekyeong Kim
Data Technol. Appl., 2023


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