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» Exploring relevance for clicks
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CHI
2011
ACM
13 years 1 months ago
Determining relevancy: how software developers determine relevant information in feeds
Finding relevant information within the vast amount of information exchanged via feeds is difficult. Previous research into this problem has largely focused on recommending relev...
Thomas Fritz, Gail C. Murphy
WINE
2010
Springer
174views Economy» more  WINE 2010»
13 years 7 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...
CIKM
2009
Springer
14 years 4 months ago
Post-rank reordering: resolving preference misalignments between search engines and end users
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Chao Liu, Mei Li, Yi-Min Wang
CORR
2006
Springer
118views Education» more  CORR 2006»
13 years 9 months ago
Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs
Clickthrough data is a particularly inexpensive and plentiful resource to obtain implicit relevance feedback for improving and personalizing search engines. However, it is well kn...
Filip Radlinski, Thorsten Joachims
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
14 years 10 months ago
Bypass rates: reducing query abandonment using negative inferences
We introduce a new approach to analyzing click logs by examining both the documents that are clicked and those that are bypassed--documents returned higher in the ordering of the ...
Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong