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» A Probability Model for Combining Ranks
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144
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CIKM
2010
Springer
15 years 2 months ago
Clickthrough-based translation models for web search: from word models to phrase models
Web search is challenging partly due to the fact that search queries and Web documents use different language styles and vocabularies. This paper provides a quantitative analysis ...
Jianfeng Gao, Xiaodong He, Jian-Yun Nie
WINE
2009
Springer
202views Economy» more  WINE 2009»
15 years 10 months ago
A New Ranking Scheme of the GSP Mechanism with Markovian Users
Sponsored search auction is used by most search engines to select ads to display on the web page of a search result, according to advertisers’ bidding prices. The income of this ...
Xiaotie Deng, Jiajin Yu
DIS
2006
Springer
15 years 7 months ago
Optimal Bayesian 2D-Discretization for Variable Ranking in Regression
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
Marc Boullé, Carine Hue
146
Voted
MCS
2009
Springer
15 years 8 months ago
Regularized Linear Models in Stacked Generalization
Abstract. Stacked generalization is a flexible method for multiple classifier combination; however, it tends to overfit unless the combiner function is sufficiently smooth. Prev...
Samuel Robert Reid, Gregory Z. Grudic
AAAI
2007
15 years 6 months ago
Aggregating User-Centered Rankings to Improve Web Search
This paper is to investigate rank aggregation based on multiple user-centered measures in the context of the web search. We introduce a set of techniques to combine ranking lists ...
Lin Li, Zhenglu Yang, Masaru Kitsuregawa