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» Context-aware ranking in web search
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WWW
2003
ACM
14 years 9 months ago
Using Top-Ranking Sentences for Web Search Result Presentation
In this poster we propose a granular approach for presenting web search results. Sentences, taken from the top documents, are used as fine-grained representations of document cont...
Ryen W. White, Joemon M. Jose, Ian Ruthven
AH
2004
Springer
14 years 2 months ago
PROS: A Personalized Ranking Platform for Web Search
Current search engines rely on centralized page ranking algorithms which compute page rank values as single (global) values for each Web page. Recent work on topic-sensitive PageRa...
Paul-Alexandru Chirita, Daniel Olmedilla, Wolfgang...
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...
SIGIR
2009
ACM
14 years 3 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
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