Harrison Kim

Professor

University of Illinois at Urbana-Champaign

United States

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About

Professor Harrison Kim is a faculty member at the University of Illinois, USA. His research expertise lies in product design, machine learning, and data-driven analysis, with a focus on utilizing online reviews and neural networks to inform product development strategies. Recent publications include works on customer segmentation, sustainable engineering design, and the impact of COVID-19 on customer sentiment regarding product features.

Articles (11)

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2026

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (1)

Junegak Joung

Hanyang University

SOUTH KOREA

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Harrison Kim

Research Interests

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About

Articles (11)

Data-driven analysis of usage-feature interactions for new product design

Extracting product design guidance from online reviews: An explainable neural network-based approach

Interpretable machine learning-based approach for customer segmentation for new product development from online product reviews

Spec guidance for engineering design based on data mining and neural networks

Nexus Between Life Cycle Assessment, Circularity, and Sustainability Indicators—Part I: a Review

Phrase Embedding and Clustering for Sub-Feature Extraction From Online Data

Optimal Modular Remanufactured Product Configuration and Harvesting Planning for End-of-Life Products

Analysis of Dynamic Changes in Customer Sentiment on Product Features After the Outbreak of COVID-19 Based on Online Reviews

Explainable neural network-based approach to Kano categorisation of product features from online reviews

Designing an Optimal Modular-Based Product Family Under Intellectual Property and Sustainability Considerations

Approach for Importance–Performance Analysis of Product Attributes From Online Reviews

Collaborators (1)

Junegak Joung

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