Ramazan Esmeli

Orcid: 0000-0002-2634-6224

According to our database1, Ramazan Esmeli authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Session context data integration to address the cold start problem in e-commerce recommender systems.
Decis. Support Syst., 2024

Optimizing ICU Care: Machine Learning and PCA for Early Prediction of Renal Replacement Therapy Requirement.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2023
Implicit Feedback Awareness for Session Based Recommendation in E-Commerce.
SN Comput. Sci., May, 2023

Bias in Recommender Systems: Item Price Perspective.
Proceedings of the Artificial Intelligence XL, 2023

2021
Towards early purchase intention prediction in online session based retailing systems.
Electron. Mark., 2021

Improved Session-based Recommender System by Context Awareness in e-Commerce Domain.
Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021

2020
Improving Session-Based Recommendation Adopting Linear Regression-Based Re-ranking.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Using Word2Vec Recommendation for Improved Purchase Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Analysing the Effect of Platform and Operating System Features on Predicting Consumers' Purchase Intent using Machine Learning Algorithms.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

Session Similarity based Approach for Alleviating Cold-start Session Problem in e-Commerce for Top-N Recommendations.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

2019
Improving Session Based Recommendation by Diversity Awareness.
Proceedings of the Advances in Computational Intelligence Systems, 2019

Context and Short Term User Intention Aware Hybrid Session Based Recommendation System.
Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

2018
Performance Comparison of a Parallel Recommender Algorithm Across Three Hadoop-Based Frameworks.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Comparison of Platforms for Recommender Algorithm on Large Datasets.
Proceedings of the 2018 Imperial College Computing Student Workshop, 2018


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