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134
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WWW
2008
ACM
16 years 4 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
CPM
2010
Springer
175views Combinatorics» more  CPM 2010»
15 years 8 months ago
Compression, Indexing, and Retrieval for Massive String Data
The field of compressed data structures seeks to achieve fast search time, but using a compressed representation, ideally requiring less space than that occupied by the original i...
Wing-Kai Hon, Rahul Shah, Jeffrey Scott Vitter
157
Voted
WWW
2011
ACM
14 years 10 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
129
Voted
VALUETOOLS
2006
ACM
166views Hardware» more  VALUETOOLS 2006»
15 years 9 months ago
Web graph analyzer tool
We present the software tool “Web Graph Analyzer”. This tool is designed to perform a comprehensive analysis of the Web Graph structure. By Web Graph we mean a graph whose ver...
Konstantin Avrachenkov, Danil Nemirovsky, Natalia ...
108
Voted
SOFTVIS
2005
ACM
15 years 9 months ago
Adding parallelism to visual data flow programs
Programming in parallel is an error-prone and complex task compounded by the lack of tool support for both programming and debugging. Recent advances in compiler-directed shared m...
Philip T. Cox, Simon Gauvin, Andrew Rau-Chaplin