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KDD
2009
ACM
141views Data Mining» more  KDD 2009»
16 years 5 months ago
Meme-tracking and the dynamics of the news cycle
Tracking new topics, ideas, and "memes" across the Web has been an issue of considerable interest. Recent work has developed methods for tracking topic shifts over long ...
Jure Leskovec, Lars Backstrom, Jon M. Kleinberg
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 5 months ago
Query result clustering for object-level search
Query result clustering has recently attracted a lot of attention to provide users with a succinct overview of relevant results. However, little work has been done on organizing t...
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
KDD
2008
ACM
153views Data Mining» more  KDD 2008»
16 years 4 months ago
Information extraction from Wikipedia: moving down the long tail
Not only is Wikipedia a comprehensive source of quality information, it has several kinds of internal structure (e.g., relational summaries known as infoboxes), which enable self-...
Fei Wu, Raphael Hoffmann, Daniel S. Weld
KDD
2007
ACM
122views Data Mining» more  KDD 2007»
16 years 4 months ago
Expertise modeling for matching papers with reviewers
An essential part of an expert-finding task, such as matching reviewers to submitted papers, is the ability to model the expertise of a person based on documents. We evaluate seve...
David M. Mimno, Andrew McCallum
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
16 years 4 months ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...