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SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special h...
SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
When trained and evaluated on accurately labeled datasets, online email spam filters are remarkably effective, achieving error rates an order of magnitude better than classifie...
CIKM
2009
Springer
15 years 1 months ago
2009
Springer
Keyword search techniques that take advantage of XML structure make it very easy for ordinary users to query XML databases, but current approaches to processing these queries rely...
ECIR
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. We present results of a new approach to detect destructive article revisions, so-called vandalism, in Wikipedia. Vandalism detection is a one-class classification problem...