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KDD
2008
ACM
128views Data Mining» more  KDD 2008»
16 years 5 months ago
Scaling up text classification for large file systems
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
George Forman, Shyamsundar Rajaram
WSDM
2009
ACM
113views Data Mining» more  WSDM 2009»
15 years 11 months ago
Time Will Tell: Leveraging Temporal Expressions in IR
Temporal expressions, such as between 1992 and 2000, are frequent across many kinds of documents. Text retrieval, though, treats them as common terms, thus ignoring their inherent...
Irem Arikan, Srikanta J. Bedathur, Klaus Berberich
HT
2009
ACM
15 years 11 months ago
Sixearch.org 2.0 peer application for collaborative web search
Sixearch.org is a peer application for social, distributed, adaptive Web search, which integrates the Sixearch.org protocol, a topical crawler, a document indexing system, a retri...
Namrata Lele, Le-Shin Wu, Ruj Akavipat, Filippo Me...
SIGIR
2009
ACM
15 years 11 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
AINA
2007
IEEE
15 years 11 months ago
DHTs over Peer Clusters for Distributed Information Retrieval
Distributed Hash Tables (DHTs) are very efficient for querying based on key lookups, if only a small number of keys has to be registered by each individual peer. However, building...
Odysseas Papapetrou, Wolf Siberski, Wolf-Tilo Balk...