Understanding Emerging Threats to Online Advertising-Reference-Cited by-同舟云学术

Understanding Emerging Threats to Online Advertising

Published:2016-07-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2016 ACM Conference on Economics and Computation
language:
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Author:

Budak Ceren¹,Goel Sharad²,Rao Justin³,Zervas Georgios⁴

Affiliation:

1. University of Michigan, Ann Arbor, MI, USA

2. Stanford University, Palo Alto, CA, USA

3. Microsoft Research, Redmond, WA, USA

4. Boston University, Boston, MA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2940716.2940787

Reference28 articles.

1. Allen R. 2015. Mobile internet trends. http://www.smartinsights.com/?attachment_id=53812. Accessed: 2016-05--12. Allen R. 2015. Mobile internet trends. http://www.smartinsights.com/?attachment_id=53812. Accessed: 2016-05--12.

2. Beales H. 2010. The value of behavioral targeting. Network Advertising Initiative. Beales H. 2010. The value of behavioral targeting. Network Advertising Initiative.

3. Consumer Heterogeneity and Paid Search Effectiveness: A Large-Scale Field Experiment

4. Blei D. M. Ng A. Y. and Jordan M. I. 2003. Latent Dirichlet allocation. the Journal of Machine Learning Research 3 993--1022. Blei D. M. Ng A. Y. and Jordan M. I. 2003. Latent Dirichlet allocation. the Journal of Machine Learning Research 3 993--1022.

5. A taxonomy of web search

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