Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 6 Clean Water and Sanitation
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Dive into the research topics where Tevfik Aytekin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Evaluating Customer Segmentation Techniques in the Retail Sector
Diyabi, N., Çakır, D., Gül, Ö. M., Aytekin, T. & Kadry, S., 2025, In: International Journal of Interactive Multimedia and Artificial Intelligence. 9, 3, p. 175-190 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Movie Tag Prediction Using Multi-label Classification with BERT
Cakar, M., Aytekin, T. & Ozcan, H., 2025, Computer and Communication Engineering - 4th International Conference, CCCE 2024, Revised Selected Papers. Neri, F., Du, K.-L., San-Blas, A.-A. & Jiang, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 31-40 10 p. (Communications in Computer and Information Science; vol. 2192 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Duplicate product record detection engine for e-commerce platforms
Albayrak, O. S., Aytekin, T. & Kalaycı, T. A., 1 May 2022, In: Expert Systems with Applications. 193, 116420.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Integrating individual and aggregate diversity in top-n recommendation
Çanakoǧlu, E., Muter, I. & Aytekin, T., Dec 2021, In: INFORMS Journal on Computing. 33, 1, p. 300-318 19 p.Research output: Contribution to journal › Article › peer-review
11 Citations (Scopus) -
A Meta-Algorithm for Improving Top- N Prediction Efficiency of Matrix Factorization Models in Collaborative Filtering
Yagci, A. M., Aytekin, T. & Gurgen, F. S., 1 Mar 2020, In: International Journal of Pattern Recognition and Artificial Intelligence. 34, 3, 2059007.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus)