One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
Search engine click logs provide an invaluable source of relevance information but this information is biased because we ignore which documents from the result list the users have...
Comments left by readers on Web documents contain valuable information that can be utilized in different information retrieval tasks including document search, visualization, and ...
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...