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Author

Fumiya Yamaguchi

Observed institution: Kyoto Sangyo University
ORCID: 0009-0001-1062-2087
Observed ORCID: 0009-0001-1062-2087
OpenAlex ID: A5008603672
An Impression-Based Video Analysis Method for Video Recommender Systems
2024 · Akito Sasahara, Fumiya Yamaguchi, et al. · 2012 International Conference on Computing, Networking and Communications (ICNC) · 3
Feature Relevance Analysis of Product Reviews to Support Online Shopping
2022 · Fumiya Yamaguchi, Felix Dollack, et al. · Lecture notes in computer science · 3
A Product Feature Mentioned Timestamp Extraction Method in Review Videos for Online Shopping
2024 · Fumiya Yamaguchi, Da Li, et al. · 2012 International Conference on Computing, Networking and Communications (ICNC) · 2
Leveraging Comment Data for Enhanced Content Discovery Through Time Series Analysis of Impressive Scenes in Videos
2026 · Akito Sasahara, Asaka Cheng Lan, et al. · Lecture notes in computer science · 1
Cosmetic Item Recommendation Method Based on Similar User Extraction Considering Skin Type and Concerns
2024 · Da Li, Amane Matsuoka, et al. · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · 1
An Improved Method for Analyzing Impression Scenes in Videos Using Comment Data
2026 · Fumiya Yamaguchi, Akito Sasahara, et al. · Lecture notes in computer science
Evaluating a Multi-criteria Approach to Resolving Reviewer Dissatisfaction in Hotel Recommendation Systems Considering Room and Meal Aspects
2026 · Yujiro Hayashi, Fumiya Yamaguchi, et al. · Lecture notes in computer science
Developing a Novel Tag Cloud System for Optimized Visualization and Behavioural Analytics in Cosmetic Review Platforms
2026 · Shizuku Kitamura, Asaka Cheng Lan, et al. · Lecture notes in computer science
A Data-Driven Method to Mining and Integrating Subjective Third-Party Fragrance Impressions from User Reviews Into Intelligent Database Systems
2025 · Fumiya Yamaguchi, Mayuko Yokoyama, et al. · IEEE International Conference on Big Data (BigData)
A System for Analyzing the Frequency of Product Feature Mentions in Review Videos
2024 · Fumiya Yamaguchi, Aiko Kobayashi, et al. · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
Works count: 10
Citation count: 10
H-index: 2
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