Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 6, 2026Journal of the Korea Society of Computer and Information

Consumer Response Prediction on an Online Gift Platform Using Generative AI-Based Image Features and Machine Learning

View Full Paper
Ask AI
Bookmark
Share

Authors

EKEunji KimHLHanjun Lee

Discussion

Loading...

Member takes

Overview

Randomized trial predicts consumer reactions in online gift shopping, indicating new predictive methodologies.

Key Points

  • The study aims to develop a machine learning model for predicting consumer responses based on review and wish counts.
  • Collected product data from dessert and kitchen categories
  • Implemented Random Forest, XGBoost, and LightGBM models
  • Interpreted variable contributions using SHAP analysis
  • Variable importance and contribution direction vary by target metrics and categories
  • Image-based features provided auxiliary predictive information in some categories

Cite This Study

Kim et al. (2026) studied this question.

synapsesocial.com/papers/6a23b9ca71a5da9775e758d7https://doi.org/10.9708/jksci.2026.31.05.263
View Full Paper
Ask AI
Bookmark
Share