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WWW
2004
ACM
16 years 7 months ago
Understanding user goals in web search
Previous work on understanding user web search behavior has focused on how people search and what they are searching for, but not why they are searching. In this paper, we describ...
Daniel E. Rose, Danny Levinson
SIGIR
2009
ACM
16 years 1 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...
CIKM
2011
Springer
14 years 6 months ago
Factorization-based lossless compression of inverted indices
Many large-scale Web applications that require ranked top-k retrieval are implemented using inverted indices. An inverted index represents a sparse term-document matrix, where non...
George Beskales, Marcus Fontoura, Maxim Gurevich, ...
BMCBI
2010
91views more  BMCBI 2010»
15 years 6 months ago
Ranked retrieval of Computational Biology models
Background: The study of biological systems demands computational support. If targeting a biological problem, the reuse of existing computational models can save time and effort. ...
Ron Henkel, Lukas Endler, Andre Peters, Nicolas Le...
MM
2003
ACM
113views Multimedia» more  MM 2003»
15 years 12 months ago
R-Histogram: quantitative representation of spatial relations for similarity-based image retrieval
Representation of relative spatial relations between objects is required in many multimedia database applications. Quantitative representation of spatial relations taking into acc...
Yuhang Wang, Fillia Makedon