text_combined: shivani agarwal axbqidbcsailmitedu final call papers learning rank workshop 19th annual conference neural information processing systems nips 2005 whistler canada friday december 9 2005 httpwebmitedushivaniwwwrankingnips05 submission deadline october 21 2005 apologies multiple postings overview problem ranking goal learn ordering ranking objects recently gained much attention machine learning progress made formulating different forms ranking problem proposing analyzing algorithms forms developing theory however multitude basic questions remain unanswered ranking problems may differ many ways form training examples form desired output performance measure used evaluate success consequences factors design ranking algorithms theoretical guarantees relationships ranking classical learning problems classification regression still underexplored problems inherently harder easier another although ranking studied mainly supervised learning problem important consequences forms learning example semisupervised learning one often ranks unlabeled examples assign labels ones ranked top reinforcement learning one often learns policy ranks actions state extent connections explored exploited large variety applications ranking required ranging information retrieval collaborative filtering computational biology forms ranking suited different applications novel applications benefit ranking forms ranking applications point us workshop aims provide forum discussion debate among researchers interested topic ranking focus basic questions goal find immediate answers rather discuss possible methods applications develop intuition brainstorm possible directions process encourage dialogue collaboration among researchers complementary ideas format oneday workshop follow 19th annual conference neural information processing systems nips 2005 workshop consist two 3hour sessions two invited talks 56 contributed talks time questions discussion talk would particularly like encourage talk discussion underlying assumptions alternative approaches possible applications theoretical analyses appropriate last 30 minutes workshop reserved concluding discussion used put perspective insights gained workshop highlight open challenges invited talks thorsten joachims cornell university yoram singer hebrew university contributed talks based papers submitted review see details call papers invite submissions papers addressing aspects ranking machine learning including algorithmic approaches ranking theoretical analyses ranking algorithms comparisons different forms ranking formulations new forms ranking relationships ranking learning problems novel applications ranking challenges applying analyzing ranking methods welcome papers ranking fit one categories well papers describe work progress particularly interested papers point new questionsdebate ranking andor shed new light existing issues please note papers previously appeared accepted publication journal conference workshop submitted another workshop appropriate workshop submission instructions submissions 6 pages length using nips style files available httpwebmitedushivaniwwwrankingnips05stylefiles include title authors names postal email addresses abstract exceed 150 words email submissions pdf ps format axbqidbmitedu subject line workshop paper submission deadline submissions friday october 21 1159 pm edt submissions reviewed program committee authors notified acceptancerejection decisions friday november 11 final versions accepted papers due friday november 18 please note one author accepted paper must available present paper workshop important dates first call papers september 6 2005 paper submission deadline october 21 2005 1159 pm edt notification decisions november 11 2005 final papers due november 18 2005 workshop december 9 2005 organizers shivani agarwal mit corinna cortes google research ralf herbrich microsoft research contact please direct questions shivanimitedu wed 06 aug 2008 141702 0400 uai cfp nips 2005 workshop learning rank