Collaborative email-spam filtering with the hashing-trick

6th Conference on Email and Anti-Spam, CEAS 2009

Volumn , Issue , 2009, Pages

  Attenberg, Joshua ^a   Weinberger, Kilian ^b   Dasgupta, Anirban ^b   Smola, Alex ^b   Zinkevich, Martin ^b  

^a 6 MetroTech Center   (United States)

^b YAHOO RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRONIC MAIL; INTERNET;

BENCHMARK DATA; E-MAIL SYSTEMS; GENERAL PUBLICS; LINES OF CODE; LOCAL CLASSIFIER; PERSONALIZATIONS; SPAM FILTERING; WEB SPAM;

COLLABORATIVE FILTERING;

EID: 84904789621     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. G. Cormack. TREC 2007 spam track overview. In The Sixteenth Text REtrieval Conference (TREC 2007) Proceedings, 2007.
2. K. Ganchev and M. Dredze. Small statistical models by random feature mixing. In Workshop on Mobile Language Processing, Annual Meeting of the Association for Computational Linguistics, 2008.
3. T. Hastie, R. Tibshirani, J. Friedman, T. Hastie, J. Friedman, and R. Tibshirani. The elements of statistical learning. Springer New York, 2001.
4. R. Jenkins. Algorithm alley. Dr. Dobb's Journal, September 1997. Source code available at http://burtleburtle.net/bob/hash/doobs.html.
5. J. Langford, L. Li, and A. Strehl. Vowpal wabbit online learning project. Technical report, http://hunch.net/?p=309, 2007.
6. K. Spackman. Signal detection theory: Valuable tools for evaluating inductive learning. In Proceedings of the sixth international workshop on Machine learning table of contents, pages 160-163. Morgan Kaufmann Publishers Inc. San Francisco, CA, USA, 1989.
7. K. Weinberger, A. Dasgupta, J. Attenberg, J. Langford, and A. Smola. Feature hashing for large scale multitask learning. In ICML, 2009.
8. W. S. Yerazunis. Sparse binary polynomial hashing and the CRM114 Discriminator. In MIT Spam Conference, 2003.