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CIKM
2008
Springer
15 years 1 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
KDD
2009
ACM
248views Data Mining» more  KDD 2009»
15 years 4 months ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng
WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
15 years 9 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
DILS
2010
Springer
15 years 28 days ago
Search Computing: Integrating Ranked Data in the Life Sciences
Search computing has been proposed to support the integration of the results of search engines with other data and computational resources. In essence, in search computing, search ...
Marco Masseroli, Norman W. Paton, Giorgio Ghisalbe...
IPSN
2009
Springer
15 years 6 months ago
Recovering temporal integrity with Data Driven Time Synchronization
Data Driven Time Synchronization (DDTS) provides synchronization across sensors by using underlying characteristics of data collected by an embedded sensing system. We apply the c...
Martin Lukac, Paul Davis, Robert Clayton, Deborah ...