Mining High Utility Itemset for Online Ad Placement Using Particle Swarm Optimization Algorithm

Author:

Keerthi M.,Anitha J.,Agrawal Shakti,Varghese Tanya

Publisher

Springer International Publishing

Reference13 articles.

1. Vargiu, E., Giuliani, A., Armano, G.: Improving contextual advertising by adopting collaborative filtering. ACM Trans. Web (ACM TWEB) 7(3), 13 (2013)

2. Chapelle, O., Manavoglu, E., Rosales, R.: Simple and scalable response prediction for display advertising. ACM Trans. Intell. Sys. Tech. (ACM TIST) 5(4), 6:11–6:134 (2014)

3. Lee, K., Orten, B., Dasdan, A., Li, W.: Estimating conversion rate in display advertising from past performance data. In: Proceedings of KDD 2012, pp. 768–776 (2012)

4. Menon, A.K., Chitrapura, K.P., Garg, S., Agarwal, D., Kota, N.: Response prediction using collaborative filtering with hierarchies and side-information. In: Proceedings of KDD 2011, pp. 141–149 (2011)

5. Banerjee, S., Ramanathan, K.: Collaborative filtering on skewed datasets. In: Proceedings of WWW 2008, pp. 1135–1136 (2008)

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