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KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 2 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
ACSC
2008
IEEE
15 years 8 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
WWW
2007
ACM
16 years 2 months ago
Utility analysis for topically biased PageRank
PageRank is known to be an efficient metric for computing general document importance in the Web. While commonly used as a one-size-fits-all measure, the ability to produce topica...
Christian Kohlschütter, Paul-Alexandru Chirit...
WWW
2007
ACM
16 years 2 months ago
Automatic searching of tables in digital libraries
Tables are ubiquitous. Unfortunately, no search engine supports table search. In this paper, we propose a novel table specific searching engine, TableSeer, to facilitate the table...
Ying Liu, Kun Bai, Prasenjit Mitra, C. Lee Giles
SIGIR
2005
ACM
15 years 7 months ago
Multi-label informed latent semantic indexing
Latent semantic indexing (LSI) is a well-known unsupervised approach for dimensionality reduction in information retrieval. However if the output information (i.e. category labels...
Kai Yu, Shipeng Yu, Volker Tresp