A distributed memory parallel version of the group average Hierarchical Agglomerative Clustering algorithm is proposed to enable scaling the document clustering problem to large c...
Rebecca Cathey, Eric C. Jensen, Steven M. Beitzel,...
Information Retrieval Systems aim at retrieving relevant documents according to the information needs which users express. Most Information Retrieval Systems focus on passage retr...
Abstract. Because the notion of context is multi-disciplinary [17], it encompasses lots of issues in Information Retrieval. In this paper, we define the context as the information ...
We argue that expert finding is sensitive to multiple document features in an organizational intranet. These document features include multiple levels of associations between expe...
Jianhan Zhu, Xiangji Huang, Dawei Song, Stefan M. ...
It has been shown that using phrases properly in the document retrieval leads to higher retrieval effectiveness. In this paper, we define four types of noun phrases and present an...
Wei Zhang, Shuang Liu, Clement T. Yu, Chaojing Sun...