Recommendation for Billboard Advertising Space with Deep Learning

Project Member(s): Long, G., Peng, X., Jiang, J.

Funding or Partner Organisation: oOh!Media Limited
oOh!Media Limited

Start year: 2019

Publications:

Niu, K, Zhao, X, Li, F, Li, N, Peng, X & Chen, W 2019, 'UTSP: User-Based Two-Step Recommendation With Popularity Normalization Towards Diversity and Novelty', IEEE Access, vol. 7, pp. 145426-145434.
View/Download from: Publisher's site

Zhang, X, Lu, W, Li, F, Peng, X & Zhang, R 2019, 'Deep Feature Fusion Model for Sentence Semantic Matching', Computers, Materials & Continua, vol. 61, no. 2, pp. 601-616.
View/Download from: Publisher's site

FOR Codes: Pattern Recognition and Data Mining, Radio and Television Broadcasting, Deep learning, Radio, television, film and video services

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.