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Optimization of Algorithms and Parameter Settings for an Enterprise Expert Search System
International Journal of Information Technology & Computer Science. 2012. Vol. 5. P. 79–88.
Valentin Molokanov, Dmitry Romanov, Valentin Tsibulsky
We present the results of our enterprise expert search system application to the tasks that were introduced at the Text Retrieval Conference (TREC) in 2005—2007. The expert search system is based on the analysis of content and communications topology in an enterprise information space. During the performed experiments an optimal set of weighting coefficients for three query-candidate associating algorithms is selected for achieving the best search efficiency on a specified corpus. The obtained performance proved to be better than at most TREC participants. The hypothesis of additional efficiency improvement by means of query classification is proposed.
Language:
English
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Molokanov V., Romanov D. A., Tsibulsky V., , in: Business Performance Measurement and Management.: Cambridge Scholars Publishing, 2014. Ch. 6 P. 129–143.
In this chapter, the results of the application of a model enterprise expert search system applied to the tasks introduced at the text retrieval conference (TREC) are presented. Two specific indicators are used in order to treat the lexicon statistically. Calculating lexicon-candidate connection power enables one to reveal definite terms, which are characteristic for a ...
Added: August 24, 2015
Valentin Molokanov, Dmitry Romanov, Valentin Tsibulsky, , in: Proceedings of SPIE* 2: International Conference on Graphic and Image Processing (ICGIP 2012). Vol. 8768.: Singapore: SPIE, 2013. Ch. 8768-36 P. 146–150.
We present the results of our enterprise expert search system application to the task introduced at the Text Retrieval Conference (TREC) in 2007. The expert search system is based on analysis of content and communications topology in an enterprise information space. An optimal set of weighting coefficients for three query-candidate associating algorithms is selected for ...
Added: February 10, 2014
Valentin O. Molokanov, Dmitry A. Romanov, Valentin V. Tsibulsky, International Journal of Computer and Communication Engineering 2013 Vol. 2 No. 2 P. 201–205
We present a description of an enterprise expert search system which is based on the analysis of content and communications topology in an enterprise information space. As data sources we use the collections introduced at the Text Retrieval Conference (TREC) in 2006 and 2007. An optimal set of weighting coefficients for three query-candidate associating algorithms ...
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Dmitry Romanov, Kravchenko A., , in: Concept Discovery in Unstructured Data. 2nd International Workshop, CDUD 2012, Leuven, Belgium, May 2012, ProceedingsIssue 871.: Leuven: Katholieke Universiteit Leuven, 2012. Ch. 5 P. 40–48.
The goal of the expert search task is nding knowledgeable persons within the enterprise. In this paper we focus on its distinctions from the other information retrieval tasks. We review the existing approaches and propose a new term weighting scheme which is based on analysis of communication patterns between people. The eectiveness of the proposed ...
Added: March 20, 2013