Data Science and Analytics for Decision Support (SIG DSA)
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Paper Type
ERF
Paper Number
1601
Description
Donation-based online crowdfunding has attracted extensive research attentions given its societal impacts. However, recommendation algorithms are rarely examined in donation-based crowdfunding context in spite of its effectiveness in e-commerce platforms. In this research in progress, we propose an integrated recommendation model which focuses on the donation traces as well as the platform-accessible information. We aim to effectively recommend fundraisers to donors so as to increase the fundraising success in donation-based crowdfunding platforms.
Recommended Citation
Xu, Mingyan and Cai, Yuanfeng, "Who to donate to? A Recommender Model for Donation-based Crowdfunding" (2021). AMCIS 2021 Proceedings. 14.
https://aisel.aisnet.org/amcis2021/data_science_decision_support/data_science_decision_support/14
Who to donate to? A Recommender Model for Donation-based Crowdfunding
Donation-based online crowdfunding has attracted extensive research attentions given its societal impacts. However, recommendation algorithms are rarely examined in donation-based crowdfunding context in spite of its effectiveness in e-commerce platforms. In this research in progress, we propose an integrated recommendation model which focuses on the donation traces as well as the platform-accessible information. We aim to effectively recommend fundraisers to donors so as to increase the fundraising success in donation-based crowdfunding platforms.
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