Tevfik Aytekin

According to our database, Tevfik Aytekin authored at least 20 papers between 1994 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Duplicate product record detection engine for e-commerce platforms.

Osman Semih Albayrak, Tevfik Aytekin, Tolga Ahmet Kalayci

Expert Syst. Appl., 2022

2021

Integrating Individual and Aggregate Diversity in Top-<i>N</i> Recommendation.

Ethem Çanakoglu, Ibrahim Muter, Tevfik Aytekin

INFORMS J. Comput., 2021

2020

A Meta-Algorithm for Improving Top-N Prediction Efficiency of Matrix Factorization Models in Collaborative Filtering.

A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen

Int. J. Pattern Recognit. Artif. Intell., 2020

2019

Real-time recommendation with locality sensitive hashing.

Ahmet Maruf Aytekin, Tevfik Aytekin

J. Intell. Inf. Syst., 2019

Parallel pairwise learning to rank for collaborative filtering.

A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen

Concurr. Comput. Pract. Exp., 2019

Short term water demand forecasting using regional data.

Tugba Zeynep Yildiz, Tevfik Aytekin

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

SENTIMENT ANALYSIS IN TURKISH FILM COMMENTS.

Abdullah Uslu, Sefa Tekin, Tevfik Aytekin

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

2018

Effective methods for increasing aggregate diversity in recommender systems.

Mahmut Özge Karakaya, Tevfik Aytekin

Knowl. Inf. Syst., 2018

2017

Incorporating Aggregate Diversity in Recommender Systems Using Scalable Optimization Approaches.

Ibrahim Muter, Tevfik Aytekin

INFORMS J. Comput., 2017

Scalable and adaptive collaborative filtering by mining frequent item co-occurrences in a user feedback stream.

A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen

Eng. Appl. Artif. Intell., 2017

On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems.

A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016

Balanced random forest for imbalanced data streams.

A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Real time distributed analysis of MPLS network logs for anomaly detection.

Muhammed Macit, Emrullah Delibas, Bahtiyar Karanlik, Alperen Inal, Tevfik Aytekin

Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

2015

Locality sensitive hashing based scalable collaborative filtering.

Ahmet Maruf Aytekin, Tevfik Aytekin

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

An ensemble approach for multi-label classification of item click sequences.

A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen

Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

2014

Clustering-based diversity improvement in top-N recommendation.

Tevfik Aytekin, Mahmut Özge Karakaya

J. Intell. Inf. Syst., 2014

2013

Improving the performance of active voxel selection in the analysis of fMRI data using genetic algorithms.

Ceyhun Can Ülker, Tevfik Aytekin

Proceedings of the Balkan Conference in Informatics, 2013

2012

How Similar is Rating Similarity to Content Similarity?

Osman Baskaya, Tevfik Aytekin

Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, 2012

Combining Spatial Proximity and Temporal Continuity for Learning Invariant Representations.

Olcay Kursun, Tevfik Aytekin

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

1994

An Application of Genetic Programming to the 4-Op Problem Using Map-Trees.

Tevfik Aytekin, Emin Erkan Korkmaz, H. Altay Güvenir

Proceedings of the Process in Evolutionary Computation, 1994