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IDA
2007
Springer
15 years 6 months ago
An evaluation of Naive Bayes variants in content-based learning for spam filtering
We describe an in-depth analysis of spam-filtering performance of a simple Naive Bayes learner and two extended variants. A set of seven mailboxes comprising about 65,000 mails f...
Alexander K. Seewald
SIGCSE
2008
ACM
116views Education» more  SIGCSE 2008»
15 years 6 months ago
Socially relevant computing
In this paper, we introduce socially relevant computing as a new way to reinvigorate interest in computer science. Socially relevant computing centers on the use of computation to...
Michael Buckley, John Nordlinger, Devika Subramani...
SIGIR
2008
ACM
15 years 6 months ago
Score standardization for inter-collection comparison of retrieval systems
The goal of system evaluation in information retrieval has always been to determine which of a set of systems is superior on a given collection. The tool used to determine system ...
William Webber, Alistair Moffat, Justin Zobel
SIGIR
2008
ACM
15 years 6 months ago
Ambiguous queries: test collections need more sense
Although there are many papers examining ambiguity in Information Retrieval, this paper shows that there is a whole class of ambiguous word that past research has barely explored....
Mark Sanderson
SIGIR
2008
ACM
15 years 6 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang