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Deep Learning and Transfer Learning for Predictive Customer Satisfaction

As the Next4biz R&D team, we are sharing the publication details of our study Öngörücü Müşteri Memnuniyeti için Derin Öğrenme ve Öğrenme Aktarımına Dayalı Modelleme (Deep Learning and Transfer Learning Based Modeling for Predictive Customer Satisfaction), which we presented at the 12th International Scientific Studies Congress (UBCAK, 2023).

Publication details

This post carries the citation and project information of the work cited below; the paper's own abstract is not yet available in the sources we could access.

Paper
Öngörücü Müşteri Memnuniyeti için Derin Öğrenme ve Öğrenme Aktarımına Dayalı Modelleme
Presented at
12. Uluslararası Bilimsel Çalışmalar Kongresi (UBCAK)
Presentation date
September 20, 2023

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As its title indicates, this paper is a modeling study aimed at predicting customer satisfaction in advance; its approach is based on deep learning and transfer learning techniques.

The study was presented by the Next4biz R&D team at the 12th International Scientific Studies Congress (UBCAK; the study appears in our publication list with the date 2023).

The abstract, the author list and the full text of the paper are not currently available in the sources we hold (Crossref, OpenAlex, in-house R&D write-ups and our PDF archive). For this reason, no information is given at this stage about the dataset used, the details of the method or the results obtained; this section will be expanded once the congress abstract book becomes accessible.

Prof. Dr. Akhan Akbulut
Prof. Dr. Akhan Akbulut
Professor Doctor Akhan Akbulut worked in the Computer Engineering departments of Istanbul Kültür University and NC State University. He serves institutions such as TÜBİTAK, Ministry of Industry and Technology, TÜSEB, and KOSGEB. He researches Distributed Systems and Artificial Intelligence and has over 100 international journal articles and conference proceedings from his work.