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» Spam, spam, spam, spam: how can we stop it
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ISCI
2007
130views more  ISCI 2007»
14 years 9 months ago
Learning to classify e-mail
In this paper we study supervised and semi-supervised classification of e-mails. We consider two tasks: filing e-mails into folders and spam e-mail filtering. Firstly, in a sup...
Irena Koprinska, Josiah Poon, James Clark, Jason C...
PET
2010
Springer
15 years 1 months ago
How to Share Your Favourite Search Results while Preserving Privacy and Quality
Personalised social search is a promising avenue to increase the relevance of search engine results by making use of recommendations made by friends in a social network. More gener...
George Danezis, Tuomas Aura, Shuo Chen, Emre Kicim...
CSE
2009
IEEE
15 years 4 months ago
Ranking Comments on the Social Web
— We study how an online community perceives the relative quality of its own user-contributed content, which has important implications for the successful self-regulation and gro...
Chiao-Fang Hsu, Elham Khabiri, James Caverlee
CIKM
2011
Springer
13 years 9 months ago
Content-driven detection of campaigns in social media
We study the problem of detecting coordinated free text campaigns in large-scale social media. These campaigns – ranging from coordinated spam messages to promotional and advert...
Kyumin Lee, James Caverlee, Zhiyuan Cheng, Daniel ...
52
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POLICY
2004
Springer
15 years 2 months ago
A Policy Driven Approach to Email Services
The primary original design goal for email was to provide best-effort message delivery. Unfortunately, as the ever increasing uproar over SPAM demonstrates, the existing email inf...
Saket Kaushik, Paul Ammann, Duminda Wijesekera, Wi...