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» Optimizing web search using web click-through data
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CIKM
2008
Springer
13 years 10 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...
WWW
2005
ACM
14 years 9 months ago
CubeSVD: a novel approach to personalized Web search
As the competition of Web search market increases, there is a high demand for personalized Web search to conduct retrieval incorporating Web users' information needs. This pa...
Jian-Tao Sun, Hua-Jun Zeng, Huan Liu, Yuchang Lu, ...
KDD
2009
ACM
248views Data Mining» more  KDD 2009»
14 years 1 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
ICWE
2009
Springer
14 years 3 months ago
On Using Distributed Extended XQuery for Web Data Sources as Services
DeXIN (Distributed extended XQuery for data INtegration) integrates multiple, heterogeneous, highly distributed and rapidly changing web data sources in different formats, e.g. XML...
Muhammad Intizar Ali, Reinhard Pichler, Hong Linh ...
WWW
2009
ACM
14 years 9 months ago
Dataplorer: a scalable search engine for the data web
More and more structured information in the form of semantic data is nowadays available. It offers a wide range of new possibilities especially for semantic search and Web data in...
Haofen Wang, Qiaoling Liu, Gui-Rong Xue, Yong Yu, ...