Neural Information Processing Systems / DCM / Microsoft / /
Country
United States / /
Currency
USD / / /
Facility
Fan Guo Carnegie Mellon University / /
IndustryTerm
search engines using clickthrough data / search engine algorithms / web document / search result rankings / iterative algorithm / web search users / web search result preferences / huge search volume / random-walk based algorithm / Search engine click logs / search ranker / data mining / search result / search trails / search result page / web user / web search user / search engine evaluation / Web search engine evaluation using click-through data / real-world applications / web documents / downstream applications / real web search users / web page dwelling time / graph-based static ranking algorithms / web traffic / models and algorithms / search engines / search engine click data / linear algorithms / search accuracy / large web search engine query log / search result pages / web search traffic makes / real web users / Web Search / distinct web documents / search engine implementation / long-term search history / approximate inference algorithms / search engine / learning algorithm / /
OperatingSystem
Windows Server 2008 / Microsoft Vista / /
Organization
U.S. Securities and Exchange Commission / Fan Guo Carnegie Mellon University Pittsburgh / /
Person
Nick Craswell / Kaisen Lin / Alex Rasmussen / G. E. Dupret / V / Ethan Tu / Li-Wei He / Chao Liu Yi-Min / Guo Carnegie / Min Wang / / /
Efficient Multiple-Click Models in Web Search ∗ Fan Guo Carnegie Mellon University