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» Relevance Ranking Using Kernels
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SIGIR
2011
ACM
14 years 6 months ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...
NIPS
2001
15 years 4 months ago
The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank
The PageRank algorithm, used in the Google search engine, greatly improves the results of Web search by taking into account the link structure of the Web. PageRank assigns to a pa...
Matthew Richardson, Pedro Domingos
KDD
2002
ACM
169views Data Mining» more  KDD 2002»
16 years 3 months ago
Optimizing search engines using clickthrough data
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
Thorsten Joachims
BMCBI
2008
105views more  BMCBI 2008»
15 years 3 months ago
Objective and automated protocols for the evaluation of biomedical search engines using No Title Evaluation protocols
Background: The evaluation of information retrieval techniques has traditionally relied on human judges to determine which documents are relevant to a query and which are not. Thi...
Fabien Campagne
218
Voted
ICDE
2007
IEEE
92views Database» more  ICDE 2007»
16 years 4 months ago
STAR: A System for Tuple and Attribute Ranking of Query Answers
In recent years there has been a great deal of interest in developing effective techniques for ad-hoc search and retrieval in structured repositories such as relational databases ...
Nishant Kapoor, Gautam Das, Vagelis Hristidis, S. ...