MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns-Reference-Cited by-同舟云学术

MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Xu Xovee¹^ORCID,Li Jiayang²^ORCID,Zhou Fan¹^ORCID

Affiliation:

1. University of Electronic Science and Technology of China & Kash Institute of Electronics and Information Industry, Chengdu, China

2. University of Electronic Science and Technology of China, Chengdu, China

Funder

National Science Foundation

Natural Science Foundation of Sichuan Province, China

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615124

Reference24 articles.

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2. Simon J Blanchard , Theodore J Noseworthy , Ethan Pancer , and Maxwell Poole . 2022. Extracting Image Characteristics to Predict Crowdfunding Success. arXiv:2203.14806 ( 2022 ). Simon J Blanchard, Theodore J Noseworthy, Ethan Pancer, and Maxwell Poole. 2022. Extracting Image Characteristics to Predict Crowdfunding Success. arXiv:2203.14806 (2022).

3. Chaoran Cheng Fei Tan Xiurui Hou and Zhi Wei. 2019. Success Prediction on Crowdfunding with Multimodal Deep Learning.. In IJCAI. 2158--2164. Chaoran Cheng Fei Tan Xiurui Hou and Zhi Wei. 2019. Success Prediction on Crowdfunding with Multimodal Deep Learning.. In IJCAI. 2158--2164.

4. Junyoung Chung , Caglar Gulcehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv:1412.3555 ( 2014 ). Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv:1412.3555 (2014).

5. A literature review and integrated framework for the determinants of crowdfunding success