Abstract. Machine learning techniques are increasingly being applied to problems in the domain of information retrieval and text mining. In this paper we present an application of ...
Abstract. This paper describes the participation of Dublin City University in the CriES (Cross-Lingual Expert Search) pilot challenge. To realize expert search, we combine traditio...
This is the second year for the participation of Center for Studies of Information Resources (CSIR) in the TREC Expert Search Task. Rather than using the candidate profile based ap...
The Multimedia and Information Systems group at the Knowledge Media Institute of the Open University participated in the Expert Search and Document Search tasks of the Enterprise ...
We participate in document search and expert search of Enterprise Track in TREC2008. The corpus and tasks are same as the year before. Different from TREC 2007, the topics come fro...
Yufei Xue, Tong Zhu, Guichun Hua, Min Zhang, Yiqun...
Expert search, in which given a query a ranked list of experts instead of documents is returned, has been intensively studied recently due to its importance in facilitating the ne...
In an expert search task, the users' need is to identify people who have relevant expertise to a topic of interest. An expert search system predicts and ranks the expertise o...
Generative models such as statistical language modeling have been widely studied in the task of expert search to model the relationship between experts and their expertise indicat...
—Mind maps are used by millions of people. In this paper we present how information retrieval on mind maps could be used to enhance expert search, document summarization, keyword...