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WWW
2005
ACM
14 years 10 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
WWW
2004
ACM
14 years 10 months ago
Incremental formalization of document annotations through ontology-based paraphrasing
For the manual semantic markup of documents to become widespread, users must be able to express annotations that conform to ontologies (or schemas) that have shared meaning. Howev...
Jim Blythe, Yolanda Gil
PKC
2009
Springer
210views Cryptology» more  PKC 2009»
14 years 10 months ago
Controlling Access to an Oblivious Database Using Stateful Anonymous Credentials
In this work, we consider the task of allowing a content provider to enforce complex access control policies on oblivious protocols conducted with anonymous users. As our primary ...
Scott E. Coull, Matthew Green, Susan Hohenberger
KDD
2007
ACM
181views Data Mining» more  KDD 2007»
14 years 10 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 10 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
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