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CIKM
2010
Springer
15 years 3 months ago
Finding unusual review patterns using unexpected rules
In recent years, opinion mining attracted a great deal of research attention. However, limited work has been done on detecting opinion spam (or fake reviews). The problem is analo...
Nitin Jindal, Bing Liu, Ee-Peng Lim
WETICE
2005
IEEE
15 years 10 months ago
CAFE - Collaborative Agents for Filtering E-mails
CAFE (Collaborative Agents for Filtering E-mails) is a multi-agent system to collaboratively filter spam from users’ mail stream. CAFE associates a proxy agent with each user, a...
Lorenzo Lazzari, Marco Mari, Agostino Poggi
CEAS
2004
Springer
15 years 9 months ago
Shall We Stop All Unsolicited Email Messages?
Spam is commonly defined as unsolicited email messages, and the goal of spam filtering is to eliminate these messages. In this paper, we argue that not all unsolicited email messag...
Rui Dai, Kang Li
CEAS
2005
Springer
15 years 10 months ago
Comparative Graph Theoretical Characterization of Networks of Spam
Email is an increasingly important and ubiquitous means of communication, both facilitating contact between individuals and enabling rises in the productivity of organizations. Ho...
Luíz Henrique Gomes, Rodrigo B. Almeida, Lu...
CORR
2011
Springer
165views Education» more  CORR 2011»
14 years 8 months ago
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Consumers increasingly go online to rate, review and research products (Jansen, 2010; Litvin et al., 2008). Consequently, websites containing these reviews are becoming targets of...
Myle Ott, Yejin Choi, Claire Cardie, Jeffrey T. Ha...