Deep Learning for Online Display Advertising User Clicks and Interests Prediction

Author:

Gharibshah Zhabiz,Zhu Xingquan,Hainline Arthur,Conway Michael

Publisher

Springer International Publishing

Reference13 articles.

1. Springer Briefs in Computer Science;X Zhu,2017

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3. Liu, H., Zhu, X., Kalish, K., Kayne, J.: Ultr-CTR: Fast page grouping using URL truncation for real-time click through rate estimation. In: Proceedings of IEEE IRI Conference, pp. 444–451 (2017)

4. Ormandi, R., Lu, Q., Yang, H.: Scalable multidimensional hierarchical Bayesian modeling on spark. In: Proceedings of the 4th International Conference on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Sys., Programming Models and Applications, vol. 41, pp. 33–48 (2015)

5. Li, C., Wang, D., Lu, Y., Sandeep, P.: Click-through prediction for advertising in twitter timeline. In: Proceedings of ACM SIG KDD (2015)

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