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SIGIR
2012
ACM
13 years 3 days ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
WEBDB
2009
Springer
124views Database» more  WEBDB 2009»
15 years 4 months ago
Bridging the Terminology Gap in Web Archive Search
Web archives play an important role in preserving our cultural heritage for future generations. When searching them, a serious problem arises from the fact that terminology evolve...
Klaus Berberich, Srikanta J. Bedathur, Mauro Sozio...
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
15 years 10 months ago
Clustering pair-wise dissimilarity data into partially ordered sets
Ontologies represent data relationships as hierarchies of possibly overlapping classes. Ontologies are closely related to clustering hierarchies, and in this article we explore th...
Jinze Liu, Qi Zhang, Wei Wang 0010, Leonard McMill...
EUROMICRO
2007
IEEE
15 years 4 months ago
Partial Verification of Software Components: Heuristics for Environment Construction
Code model checking of software components suffers from the well-known problem of state explosion when applied to highly parallel components, despite the fact that a single compon...
Pavel Parizek, Frantisek Plasil
WSDM
2009
ACM
172views Data Mining» more  WSDM 2009»
15 years 4 months ago
Clustering the tagged web
Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
Daniel Ramage, Paul Heymann, Christopher D. Mannin...