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» Learning and Generalization with the Information Bottleneck
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WWW
2009
ACM
15 years 10 months ago
Evaluating similarity measures for emergent semantics of social tagging
Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question ...
Benjamin Markines, Ciro Cattuto, Filippo Menczer, ...
CHI
2009
ACM
15 years 10 months ago
Questions in, knowledge in?: a study of naver's question answering community
Large general-purposed community question-answering sites are becoming popular as a new venue for generating knowledge and helping users in their information needs. In this paper ...
Kevin Kyung Nam, Mark S. Ackerman, Lada A. Adamic
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
15 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
CIKM
2009
Springer
15 years 4 months ago
Helping editors choose better seed sets for entity set expansion
Sets of named entities are used heavily at commercial search engines such as Google, Yahoo and Bing. Acquiring sets of entities typically consists of combining semi-supervised exp...
Vishnu Vyas, Patrick Pantel, Eric Crestan
MOBICOM
2006
ACM
15 years 3 months ago
Analysis and implications of student contact patterns derived from campus schedules
Characterizing mobility or contact patterns in a campus environment is of interest for a variety of reasons. Existing studies of these patterns can be classified into two basic a...
Vikram Srinivasan, Mehul Motani, Wei Tsang Ooi