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Kalkınma Odaklı Üniversiteleri Destekleyecek Uzman Öneri Sistemi

Year 2024, , 30 - 33, 28.06.2024
https://doi.org/10.46810/tdfd.1397626

Abstract

Son yıllarda üniversite eğitimine sağlanan desteklerle, yeni açılmış ya da gelişmekte olan üniversiteler, bölgesel kalkınma misyonu çerçevesinde çeşitli alanlarda uzmanlaşmaya çalışmaktadırlar. Bu çerçevede başarıya ulaşmak amacıyla, alanında yetişmiş başarılı ve geniş görüş açısına sahip olan akdemiysen/uzmanlara her zaman ihtiyaç duyulmaktadır. Konusunda uzman adaylara ulaşmak ise doğrusal/lineer bir matematiksel formül ile ifade edilemediğinden dolayı zorlu bir süreçtir. Özellikle, son zamanlarda yapılan çalışma, makale ve raporların gün geçtikçe artması konuyla ilgili uzman seçimini zorlaştırmış ve otomatik uzman bulan sistemlere ihtiyaç duyulmuştur. Yapılacak bu çalışmayla akademisyenlerin yayınlandığı bilimsel çalışmalar ve çalışmalardaki ortak yazarlar değerlendirilerek “aranan kriterlere uygun” uzman adayları listelenecektir. Uygun araştırmacı kriteri için bilimsel çalışmaların puanlanması esasına göre sonuç verilecektir. Bir araştırmacının puanı değerlendirilirken, o kişinin yazdığı makaleler ve çalışmalar üzerinden, filtre edilen anahtar kelimelere bakılarak, uzmana ait objektif bir sıralama yapılacaktır. Bu uygulamada “Dergi Park” sisteminin veri tabanı kullanılarak, filtrelenen kelimelere uygun uzman adayların puanlandırılması sağlanmıştır.

References

  • N. T. ,. M. Y. Serkan SAVAŞ, «Veri Madenciliği Ve Türkiye’deki Uygulama,» İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, 2011.
  • A. OĞUZLAR, «Veri Ön İşleme,» Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, pp. 67-76, 2003.
  • N. C. P. d. V. S. Peter Bailey, «Overview of the TREC 2007 Enterprise Track,» TREC, 2007.
  • A. &. H. J. Mockus, «Expertise browser: a quantitative approach to identifying expertise,» %1 içinde Proceedings of the 24th international conference on software engineering, 2002.
  • M. Maybury, «Collaborative Virtual Environments for Analysis and Decision Support,» Communications of the ACM, 2001.
  • W. H. D. W. L. Shuyi Lin, «A survey on expert finding techniques,» Springer Science+Business Media New York, p. 260, 23 11 2017.
  • Becerra-Fernandez, «Locating expertise at nasa: developing a tool to leverage human capital,» Knowledge Management Review, pp. 34-37, 2001.
  • J. N. Susan T. Dumais, «Automating the assignment of submitted manuscripts to reviewers,» Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 233-244, 1992.
  • L. A. d. R. Krisztian Balog, «Formal Models for Expert Finding in Enterprise Corpora,» Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, 2006.
  • P. P. M. C. D. Christopher S. Campbell, «Expertise identification using email communication,» Proceedings of the twelfth international conference on Information and knowledge management , 2003.
  • Y. F. d. R. S. S. Krisztian Balog, Foundations and Trends in Information Retrieval, Hanover, MA 02339,USA: now Publishers Inc., 2012.

Expert Recommendation System To Promote Development-Focused Universities

Year 2024, , 30 - 33, 28.06.2024
https://doi.org/10.46810/tdfd.1397626

Abstract

With the support given to university education in recent years, newly opened or developing universities are trying to specialize in various fields within the framework of the regional development mission. In order to achieve success, there is always a need for experts -who do successful studies and have a wide perspective- in the field sought. Reaching candidates who are experts in their field is a difficult process since it cannot be expressed with a linear/linear mathematical formula. In particular, the increasing number of recent studies, articles and reports has made the selection of experts on the subject difficult and systems that automatically find experts are needed. Reaching candidates who are experts in their field is a difficult process since it is relative. In particular, the increasing number of recent studies, articles and reports has made the selection of experts on the subject difficult and systems that automatically find experts are needed. With this study, the scientific studies published by the academicians and the co-authors in the studies will be evaluated and expert candidates "suitable for the criteria sought" will be listed. Results will be given on the basis of scoring scientific studies for the appropriate researcher criteria. To evaluate a researcher's score, an object function of the expert will be made by looking at the filtered keywords over the articles and studies written by that person. In this application, using the 'Dergi Park' database, suitable expert candidates were scored for the filtered words.

References

  • N. T. ,. M. Y. Serkan SAVAŞ, «Veri Madenciliği Ve Türkiye’deki Uygulama,» İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, 2011.
  • A. OĞUZLAR, «Veri Ön İşleme,» Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, pp. 67-76, 2003.
  • N. C. P. d. V. S. Peter Bailey, «Overview of the TREC 2007 Enterprise Track,» TREC, 2007.
  • A. &. H. J. Mockus, «Expertise browser: a quantitative approach to identifying expertise,» %1 içinde Proceedings of the 24th international conference on software engineering, 2002.
  • M. Maybury, «Collaborative Virtual Environments for Analysis and Decision Support,» Communications of the ACM, 2001.
  • W. H. D. W. L. Shuyi Lin, «A survey on expert finding techniques,» Springer Science+Business Media New York, p. 260, 23 11 2017.
  • Becerra-Fernandez, «Locating expertise at nasa: developing a tool to leverage human capital,» Knowledge Management Review, pp. 34-37, 2001.
  • J. N. Susan T. Dumais, «Automating the assignment of submitted manuscripts to reviewers,» Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 233-244, 1992.
  • L. A. d. R. Krisztian Balog, «Formal Models for Expert Finding in Enterprise Corpora,» Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, 2006.
  • P. P. M. C. D. Christopher S. Campbell, «Expertise identification using email communication,» Proceedings of the twelfth international conference on Information and knowledge management , 2003.
  • Y. F. d. R. S. S. Krisztian Balog, Foundations and Trends in Information Retrieval, Hanover, MA 02339,USA: now Publishers Inc., 2012.
There are 11 citations in total.

Details

Primary Language English
Subjects Information Modelling, Management and Ontologies, Information Systems For Sustainable Development and The Public Good
Journal Section Articles
Authors

Mehmet Yaşar Bayraktar 0000-0003-3182-120X

Mehmet Kaya 0000-0003-2995-8282

Early Pub Date June 28, 2024
Publication Date June 28, 2024
Submission Date November 29, 2023
Acceptance Date April 19, 2024
Published in Issue Year 2024

Cite

APA Bayraktar, M. Y., & Kaya, M. (2024). Expert Recommendation System To Promote Development-Focused Universities. Türk Doğa Ve Fen Dergisi, 13(2), 30-33. https://doi.org/10.46810/tdfd.1397626
AMA Bayraktar MY, Kaya M. Expert Recommendation System To Promote Development-Focused Universities. TDFD. June 2024;13(2):30-33. doi:10.46810/tdfd.1397626
Chicago Bayraktar, Mehmet Yaşar, and Mehmet Kaya. “Expert Recommendation System To Promote Development-Focused Universities”. Türk Doğa Ve Fen Dergisi 13, no. 2 (June 2024): 30-33. https://doi.org/10.46810/tdfd.1397626.
EndNote Bayraktar MY, Kaya M (June 1, 2024) Expert Recommendation System To Promote Development-Focused Universities. Türk Doğa ve Fen Dergisi 13 2 30–33.
IEEE M. Y. Bayraktar and M. Kaya, “Expert Recommendation System To Promote Development-Focused Universities”, TDFD, vol. 13, no. 2, pp. 30–33, 2024, doi: 10.46810/tdfd.1397626.
ISNAD Bayraktar, Mehmet Yaşar - Kaya, Mehmet. “Expert Recommendation System To Promote Development-Focused Universities”. Türk Doğa ve Fen Dergisi 13/2 (June 2024), 30-33. https://doi.org/10.46810/tdfd.1397626.
JAMA Bayraktar MY, Kaya M. Expert Recommendation System To Promote Development-Focused Universities. TDFD. 2024;13:30–33.
MLA Bayraktar, Mehmet Yaşar and Mehmet Kaya. “Expert Recommendation System To Promote Development-Focused Universities”. Türk Doğa Ve Fen Dergisi, vol. 13, no. 2, 2024, pp. 30-33, doi:10.46810/tdfd.1397626.
Vancouver Bayraktar MY, Kaya M. Expert Recommendation System To Promote Development-Focused Universities. TDFD. 2024;13(2):30-3.