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Information Journal Paper

Title

Applying Expert Retrieval Model for Finding Expert Authors

Pages

  1687-1716

Abstract

 This research applied Expertise Retrieval model for finding expert authors, and used Evaluation methods of Information Retrieval systems for measuring the performance of those Models. Current research is an experimental one. Besides, a variety of methods including survey method has been used in the research process. Various Models were developed for finding expert authors, all built on a known Expertise Retrieval model, called document-centered model. Models/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">Voting Models were used within these Models, too. All Models were implemented and evaluated on the test collection developed specially for this research. Results showed that Citation-centered Models outperformed Authorshipcentered Models in term of expert author finding task. In addition, there was no significant difference among retrieval performance of Models/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">Voting Models. Individuals name occur in academic papers in two ways: either as author of paper or cited in the paper. Measuring retrieval performance of ER model considering kind of occurrence is our contribution in this research.

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    APA: Copy

    ATAPOUR, HASHEM, & FAHIMNIA, FATIMA. (2018). Applying Expert Retrieval Model for Finding Expert Authors. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), 33(4 ), 1687-1716. SID. https://sid.ir/paper/378636/en

    Vancouver: Copy

    ATAPOUR HASHEM, FAHIMNIA FATIMA. Applying Expert Retrieval Model for Finding Expert Authors. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY)[Internet]. 2018;33(4 ):1687-1716. Available from: https://sid.ir/paper/378636/en

    IEEE: Copy

    HASHEM ATAPOUR, and FATIMA FAHIMNIA, “Applying Expert Retrieval Model for Finding Expert Authors,” IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), vol. 33, no. 4 , pp. 1687–1716, 2018, [Online]. Available: https://sid.ir/paper/378636/en

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