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178
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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 4 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
SAC
2009
ACM
15 years 8 months ago
Spam decisions on gray e-mail using personalized ontologies
E-mail is one of the most common communication methods among people on the Internet. However, the increase of e-mail misuse/abuse has resulted in an increasing volume of spam e-ma...
Seongwook Youn, Dennis McLeod
140
Voted
CLEF
2009
Springer
15 years 1 months ago
Users' Image Seeking Behavior in a Multilingual Tag Environment
: This paper presents the results of a user study conducted in the framework of the Interactive Image Retrieval task at CLEF 2009. The main goal of our research is to understand th...
Miguel E. Ruiz, Pok Chin
137
Voted
AIRS
2006
Springer
15 years 7 months ago
Improving Re-ranking of Search Results Using Collaborative Filtering
Search Engines today often return a large volume of results with possibly a few relevant results. The notion of relevance is subjective and depends on the user and the context of ...
U. Rohini, Vamshi Ambati
118
Voted
ESWS
2010
Springer
15 years 5 months ago
Dealing with Inconsistency When Combining Ontologies and Rules Using DL-Programs
Abstract. Description Logic Programs (DL-programs) have been introduced to combine ontological and rule-based reasoning in the context of the Semantic Web. A DL-program loosely com...
Jörg Pührer, Stijn Heymans, Thomas Eiter