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City Beijing / / Country China / / Facility Peking University / Stanford University / Key Laboratory of Machine Perception / Institute of Software / / IndustryTerm machine learning technologies / machine learning classification technologies / neural network / text mining / given search query / search engines / learn-to-rank technology / neural networks / search result / search engine / search results / / Organization Key Laboratory of Machine Perception / Peking University / Chinese Academy of Sciences / Stanford University / School of Electronic Engineering and Computer Science / IDF / Ministry of Education / Institute of Software / State Key Lab of Computer Science / / Person J.Z. Huang / L. Cao / J. Srivastava / / Position Cao / Corresponding author / / ProgrammingLanguage Hoc / XML / / SportsLeague Stanford University / / Technology XML / neural network / search engine / machine learning technologies / machine learning / HTML / machine learning classification technologies / listwise learn-to-rank technology / / SocialTag 
ListOPT: Learning to Optimize for XML Ranking Ning Gao1 , Zhi-Hong Deng1 2 , Hang Yu1 , and Jia-Jian Jiang1 1 Key Laboratory of Machine Perception (Ministry of Education),