The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Hua...
This paper presents the CMU submission to the 2008 TREC blog distillation track. Similar to last year's experiments, we evaluate different retrieval models and apply a query ...
Jaime Arguello, Jonathan L. Elsas, Changkuk Yoo, J...
The impact of using phrases as content representation for documents and for queries has generally been accepted as a desirable feature in information retrieval systems because phr...
This paper makes two contributions. The first contribution is an approach called the "customized-queries" approach (CQA) to content-based image retrieval. The second is ...
Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, ...
The application of document clustering to information retrieval has been motivated by the potential effectiveness gains postulated by the Cluster Hypothesis. The hypothesis states ...