Classification of Automated Search Traffic-Reference-Cited by-同舟云学术

Classification of Automated Search Traffic

Published:2009 Issue: Volume: Page:3-26
ISSN:
Container-title:Weaving Services and People on the World Wide Web
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Author:

Buehrer Greg,Stokes Jack W.,Chellapilla Kumar,Platt John C.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-00570-1_1.pdf

Reference14 articles.

1. Agichtein, E., Brill, E., Dumais, S., and Ragno, R.: Learning User Interaction Models for Predicting Web Search Result Preferences, In SIGIR’06, 29th International ACM Conference on Research and Development on Information Retrieval, 2006. (ACM, New York, NY) pp 3–10.

2. Anick, P.: Using Terminological Feedback for Web Search Refinement – A Log-based Study., In SIGIR’03, 26th International ACM Conference on Research and Development on Information Retrieval, 2003. (ACM, New York, NY) pp 88–95.

3. Bishop, C.: Pattern Recognition and Machine Learning. (Springer, New York, NY, 2006).

4. Brin, S., and Page, L.: The Anatomy of a Large-scale Hypertextual Web Search Engine, In WWW’98, 7th International Conference on World Wide Web, 1998. (Elsevier Science Publishers B. V., Amsterdam, The Netherlands) pp 107–117.

5. Click Quality Team, Google, Inc. How Fictitious Clicks Occur in Third-Party Click Fraud Audit Reports. http://www.google.com/adwords/ReportonThird-PartyClickFraudAuditing.pdf , 2006.

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