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WWW
2008
ACM
16 years 13 days 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 4 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
WWW
2011
ACM
14 years 6 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...
98
Voted
VALUETOOLS
2006
ACM
166views Hardware» more  VALUETOOLS 2006»
15 years 5 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 ...
SOFTVIS
2005
ACM
15 years 5 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