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DKE
2008
100views more  DKE 2008»
13 years 8 months ago
PeRSSonal's core functionality evaluation: Enhancing text labeling through personalized summaries
In this manuscript we present the summarization and categorization subsystems of a complete mechanism that begins with web-page fetching and concludes with representation of the c...
Christos Bouras, Vassilis Poulopoulos, Vassilis Ts...
CCR
2008
76views more  CCR 2008»
13 years 9 months ago
WebClass: adding rigor to manual labeling of traffic anomalies
Despite the flurry of anomaly-detection papers in recent years, effective ways to validate and compare proposed solutions have remained elusive. We argue that evaluating anomaly d...
Haakon Ringberg, Augustin Soule, Jennifer Rexford
CCS
2010
ACM
13 years 9 months ago
Attacks and design of image recognition CAPTCHAs
We systematically study the design of image recognition CAPTCHAs (IRCs) in this paper. We first review and examine all IRCs schemes known to us and evaluate each scheme against th...
Bin B. Zhu, Jeff Yan, Qiujie Li, Chao Yang, Jia Li...
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
14 years 3 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
IM
2007
13 years 8 months ago
Cluster Generation and Labeling for Web Snippets: A Fast, Accurate Hierarchical Solution
This paper describes Armil, a meta-search engine that groups the web snippets returned by auxiliary search engines into disjoint labeled clusters. The cluster labels generated by A...
Filippo Geraci, Marco Pellegrini, Marco Maggini, F...