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» Optimizing search engines using clickthrough data
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WSDM
2009
ACM
198views Data Mining» more  WSDM 2009»
14 years 3 months ago
Measuring the similarity between implicit semantic relations using web search engines
Measuring the similarity between implicit semantic relations is an important task in information retrieval and natural language processing. For example, consider the situation whe...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
CORR
2008
Springer
154views Education» more  CORR 2008»
13 years 9 months ago
Sponsored Search Auctions with Markovian Users
Abstract. Sponsored search involves running an auction among advertisers who bid in order to have their ad shown next to search results for specific keywords. The most popular auct...
Gagan Aggarwal, Jon Feldman, S. Muthukrishnan, Mar...
WWW
2011
ACM
13 years 3 months ago
Characterizing search intent diversity into click models
Modeling a user’s click-through behavior in click logs is a challenging task due to the well-known position bias problem. Recent advances in click models have adopted the examin...
Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang, Qi...
WINE
2005
Springer
143views Economy» more  WINE 2005»
14 years 2 months ago
An Analysis of Search Engine Switching Behavior Using Click Streams
In this paper, we propose a simple framework to characterize the switching behavior between search engines based on click streams. We segment users into a number of categories bas...
Yun-Fang Juan, Chi-Chao Chang
DOCENG
2011
ACM
12 years 8 months ago
Interoperable metadata semantics with meta-metadata: a use case integrating search engines
A use case involving integrating results from search engines illustrates how the meta-metadata language facilitates interoperable metadata semantics. Formal semantics can be hard ...
Yin Qu, Andruid Kerne, Andrew M. Webb, Aaron Herst...