Understanding Micro-Videos for Customer Profiling and Personalized Marketing

Project Member(s): Xu, G., Wang, X.

Funding or Partner Organisation: eBay Inc (eBay (US))
eBay Inc (eBay (US))

Start year: 2020

Summary: This project is funded by eBay for supporting HDR for research on Understanding Micro-Videos for Customer Profiling and Personalized Marketing

Publications:

He, L, Shi, K, Wang, D, Wang, X & Xu, G 2024, 'A topic‐controllable keywords‐to‐text generator with knowledge base network', CAAI Transactions on Intelligence Technology, vol. 9, no. 3, pp. 585-594.
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Islam, MR, Akter, S, Islam, L, Razzak, I, Wang, X & Xu, G 2024, 'Strategies for evaluating visual analytics systems: A systematic review and new perspectives', Information Visualization, vol. 23, no. 1, pp. 84-101.
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Li, Z, Chen, Y, Wang, X, Yao, L & Xu, G 2024, 'Multi-view GCN for loan default risk prediction', Neural Computing and Applications, vol. 36, no. 20, pp. 12149-12162.
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He, L, Xu, G, Jameel, S, Wang, X & Chen, H 2023, 'Graph-Aware Deep Fusion Networks for Online Spam Review Detection', IEEE Transactions on Computational Social Systems, vol. 10, no. 5, pp. 2557-2565.
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Wu, S, Xu, G & Wang, X 1970, 'SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems', 2023 IEEE International Conference on Data Mining (ICDM), 2023 IEEE International Conference on Data Mining (ICDM), IEEE, pp. 1421-1426.
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He, L, Wang, X, Chen, H & Xu, G 2022, 'Online Spam Review Detection: A Survey of Literature', Human-Centric Intelligent Systems, vol. 2, no. 1-2, pp. 14-30.
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Zogan, H, Razzak, I, Wang, X, Jameel, S & Xu, G 2022, 'Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media', World Wide Web, vol. 25, no. 1, pp. 281-304.
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FOR Codes: Pattern Recognition and Data Mining, Application Tools and System Utilities, Context learning, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.