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Title: Proceedings of the 2019 IISE Annual Conference
Hunger and food insecurity are present in each American county. Government and non-government organizations are working to address food insecurity in the United States. Food banks are nonprofit hunger relief organizations that collect food and monetary donations from donors and distribute food to local agencies which serve people in need. Contributions come from retail donors, communities, and food manufacturers. The uncertainty of donation amounts and frequency is a challenge for food banks in the fight against hunger. In this research, we analyze local food bank donation data and propose a predictive model to forecast the contribution of different donors. Our study shows the necessary behavioral attributes to classify donors and the best way to cluster donor data to improve the prediction model. We also compare the accuracy of prediction for different conventional forecasting techniques with the proposed Support Vector Regression (SVR) model.  more » « less
Award ID(s):
1718672 1735258
PAR ID:
10107757
Author(s) / Creator(s):
;
Date Published:
Journal Name:
Predicting Food Donor Contribution Behavior Using Support Vector Regression
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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