thorsten joachims recscornelledu call papers learning rank information retrieval 2007 lr4ir07 overview task learning rank emerged active growing area research information retrieval machine learning goal design apply methods automatically learn function training data function sort objects eg documents according degrees relevance preference importance defined specific application relevance task ir without question many ir problems nature ranking problems improved algorithms learning ranking functions promise improved retrieval quality less need manual parameter adaptation way many ir technologies potentially enhanced using learning rank techniques main purpose workshop conjunction sigir 2007 bring together ir researchers ml researchers working interested technologies let share latest research results express opinions related issues discuss future directions topics interests solicit submissions aspect learning rank information retrieval particular areas interest include limited models features algorithms learning rank evaluation methods learning rank data creation methods learning rank applications learning rank methods information retrieval comparison traditional approaches learning approaches ranking theoretical analyses learning rank empirical comparison learning rank methods shared benchmark data several shared data sets released microsoft research asia httpresearchmicrosoftcomuserstyliuletor data sets created based ohsumed trec data contain features relevance judgments training evaluation learning rank methods encouraged use data sets conduct experiments submissions workshop paper submission papers submitted electronically via workshop web site httpresearchmicrosoftcomuserslr4ir2007 detailed information submission available site submissions reviewed least three members program committee accepted papers published proceedings workshop proceedings printed made available workshop important dates paper submission due june 8 author notification date june 28 camera ready july 5 organizers thorsten joachims cornell univ hang li microsoft research asia tieyan liu microsoft research asia chengxiang zhai univ illinois urbanachampaign pc members eugene agichtein emory university javed aslam northeastern university chris burges microsoft research olivier chapelle yahoo research hsinhsi chen national university taiwan bruce croft university massachusetts amherst ralph herbrich microsoft research cambridge djoerd hiemstra university twente thomas hofmann google rong jin michigan state university paul kantor rutgers university sathiya keerthi yahoo research ravi kumar yahoo research quov le australian national university guy lebanon prudue university donald metzler university massachusetts einat minkov carnegie mellon university filip radlinski cornell university mehran sahami google robert schapire princeton university michael taylor microsoft research cambridge yiming yang carnegie mellon university kai yu nec research institute hongyuan zha georgia tech yi zhang university california santa cruz thu 07 aug 2008 182411 0400 uai sigir07 workshop learning rank ir