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» Optimizing search engines using clickthrough data
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WWW
2008
ACM
14 years 8 months ago
Genealogical trees on the web: a search engine user perspective
This paper presents an extensive study about the evolution of textual content on the Web, which shows how some new pages are created from scratch while others are created using al...
Ricardo A. Baeza-Yates, Álvaro R. Pereira J...
WINE
2010
Springer
174views Economy» more  WINE 2010»
13 years 5 months ago
Value of Learning in Sponsored Search Auctions
Abstract. The standard business model in the sponsored search marketplace is to sell click-throughs to the advertisers. This involves running an auction that allocates advertisemen...
Sai-Ming Li, Mohammad Mahdian, Randolph Preston Mc...
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
SIGIR
2005
ACM
14 years 1 months ago
Accurately interpreting clickthrough data as implicit feedback
This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. Analyzing the users’ decision process using eyetracking and comparing im...
Thorsten Joachims, Laura A. Granka, Bing Pan, Hele...
WINE
2009
Springer
199views Economy» more  WINE 2009»
14 years 2 months ago
Externalities in Keyword Auctions: An Empirical and Theoretical Assessment
It is widely believed that the value of acquiring a slot in a sponsored search list (that comes along with the organic links in a search engine’s result page) highly depends on ...
Renato Gomes, Nicole Immorlica, Evangelos Markakis