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» Linguistic Knowledge can Improve Information Retrieval
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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 7 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
16 years 3 months ago
Boilerplate Detection using Shallow Text Features
In addition to the actual content Web pages consist of navigational elements, templates, and advertisements. This boilerplate text typically is not related to the main content, ma...
Christian Kohlschütter, Peter Fankhauser, Wol...
ACSC
2008
IEEE
16 years 1 months ago
An investigation on a community's web search variability
Users’ past search behaviour provides a rich context that an information retrieval system can use to tailor its search results to suit an individual’s or a community’s infor...
Mingfang Wu, Andrew Turpin, Justin Zobel
WIDM
2004
ACM
15 years 12 months ago
Specialisation dynamics in federated web search
Organising large-scale Web information retrieval systems into hierarchies of topic-specific search resources can improve both the quality of results and the efficient use of com...
Rinat Khoussainov, Nicholas Kushmerick
KDD
2010
ACM
257views Data Mining» more  KDD 2010»
15 years 10 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...