Northeastern University in TREC 2009 Million Query Track
Evangelos Kanoulas, Keshi Dai, Virgiliu Pavlu, Stefan Savev, Javed A. Aslam · 2009
Ranking is a central problem in information retrieval. Modern search engines, especially those designed for the World Wide Web, commonly analyze and combine hundreds of features extracted from the submitted query and underlying documents in order to assess the relative relevance of a document to a given query and thus rank the underlying collection. The sheer size of this problem has led to the development of learningto-rank