Graph-Based Audience Expansion Model for Marketing Campaigns

Author:

Rahman Md Mostafizur1ORCID,Kikuta Daisuke1ORCID,Hirate Yu1ORCID,Suzumura Toyotaro2ORCID

Affiliation:

1. Rakuten Institute of Technology (RIT), Rakuten Group, Inc., Tokyo, Japan

2. The University of Tokyo & Rakuten Institute of Technology (RIT), Tokyo, Japan

Publisher

ACM

Reference47 articles.

1. Large-Scale Customized Models for Advertisers

2. Antoine Bordes, Nicolas Usunier, Alberto Garcia-Durán, Jason Weston, and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-Relational Data. In Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 2 (Lake Tahoe, Nevada) (NIPS'13). Curran Associates Inc., Red Hook, NY, USA, 2787--2795.

3. Marco Cavallo and cC aug atay Demiralp. 2018. Clustrophile 2: Guided visual clustering analysis. IEEE transactions on visualization and computer graphics, Vol. 25, 1 (2018), 267--276.

4. Gromit Yeuk-Yin Chan, Tung Mai, Anup B Rao, Ryan A Rossi, Fan Du, Cláudio T Silva, and Juliana Freire. 2021. Interactive Audience Expansion On Large Scale Online Visitor Data. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2621--2631.

5. Adversarial Factorization Autoencoder for Look-alike Modeling

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