Neural Information Processing Systems / Google / Mei / Sparse Linear Systems / /
Country
United Kingdom / China / Spain / /
Currency
pence / USD / / /
Facility
CSE The Chinese University of Hong Kong Shatin / /
IndustryTerm
search process / offline algorithm / text search / semantic web / re-ranking algorithms / privacy preservation reinforcement learning semantic web sensor / average processing time / web search results using affinity graph / large-scale hypertextual web search engine / data mining / re-ranking algorithm / research prototype search engine / expert finding applications / graph-based machine learning algorithms / online part / expert search / Web search results / search engines / approximate solution / basic latent semantic indexing algorithm / web search / online algorithm / closed-form solution / computer science bibliography search engines / overall algorithm / entity-relation networks / search engine / /
OperatingSystem
Microsoft Windows / /
Organization
Chinese University of Hong Kong Shatin / Society for Industrial Mathematics / idf / Research Grants Council of the Hong Kong Special Administrative Region / American Society for Information Science / /
Person
R. Jin / Y. Cao / Addison-Wesley Harlow / H. Li / S. Bao / H. Valizadegan / Y. Xiong / Z. Chen / J. Liu / M. R. Lyu / Diaz / H. Deng / I. King / Michael R. Lyu Irwin King / / /
Position
graph-based model for the query-dependent ranking problems / graph-based model for the querydependent ranking problem / document-author / researcher / General / Author / king / representative / Cao / /
Effective Latent Space Graph-based Re-ranking Model with Global Consistency Hongbo Deng Dept. of CSE The Chinese University of