Google / Microsoft / Tsinghua National Laboratory / /
Country
United States / / /
Facility
Tsinghua University / To mine / /
IndustryTerm
result selection algorithm / Web IR / Web page spam detection On / ad hoc search task / web usage / real world search task / Web Environment / hierarchical incremental online clustering algorithm / Web track task / content analysis algorithm / Web Track / improved diversifying search algorithm / search system performance / extracted web page content / real world search engines / web page spam detection / web documents / pre-processing step / filtered web text / spam Web / diversity algorithm / Web Search / search queries / large scale Web Search1 ZC Li / Web data / search engine / diversity result selection algorithm / web spam pages / Web page content extraction Besides / /
OperatingSystem
Microsoft Windows / /
Organization
Tsinghua University / Beijing / Natural Science Foundation / SP Ma State Key Lab of Intelligent Technology & Systems / Research Fund for the Doctoral Program of Higher Education of China / /
Person
Rakesh Agrawal / Yu Sun / Samuel Ieong / Joaquin Perez-Iglesias / Huijia Yu / Alan Halverson / Wei Yang / Qian Wang / Xudong Li / /
Product
TMiner system / TMiner / /
ProvinceOrState
Maryland / /
Technology
alpha / IA-SELECT algorithm / content analysis algorithm / search engine / diversity algorithm / improved diversifying search algorithm / hierarchical incremental online clustering algorithm / Java / same diversity result selection algorithm / diversity result selection algorithm / 2.1 Clustering algorithm / Data Mining / 2.2 Diverse result selection algorithm / /
THUIR at TREC 2009 Web Track: finding relevant and diverse results for large scale Web Search1 ZC Li, F Chen, QL Xing, JW Miao, YF Xue, T Zhu, B Zhou, RW Cen, YQ Liu, M Zhang, YJ Jin, SP Ma State Key Lab of Intelligent T