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Resul Tugay
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2020 – today
- 2024
- [c5]Sümeyye Öztürk, Ahmed Burak Ercan
, Resul Tugay
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience. ICMLT 2024: 251-257 - [c4]Begüm Özbay
A GNN Model with Adaptive Weights for Session-Based Recommendation Systems. ICMLT 2024: 258-264 - [i8]Sumeyye Bas, Kiymet Kaya, Resul Tugay, Sule Gündüz Ögüdücü:
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs. CoRR abs/2407.14765 (2024) - [i7]Eren Olug, Kiymet Kaya, Resul Tugay, Sule Gündüz Ögüdücü:
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model. CoRR abs/2408.01016 (2024) - [i6]Begüm Özbay, Resul Tugay, Sule Gündüz Ögüdücü:
A GNN Model with Adaptive Weights for Session-Based Recommendation Systems. CoRR abs/2408.05051 (2024) - [i5]Sümeyye Öztürk, Ahmed Burak Ercan, Resul Tugay, Sule Gündüz Ögüdücü:
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience. CoRR abs/2409.07850 (2024) - 2023
- [j1]Wenfei Fan, Resul Tugay, Yaoshu Wang, Min Xie, Muhammad Asif Ali:
Learning and Deducing Temporal Orders. Proc. VLDB Endow. 16(8): 1944-1957 (2023) - 2022
- [c3]Wenfei Fan, Liang Geng, Ruochun Jin, Ping Lu, Resul Tugay, Wenyuan Yu:
Linking Entities across Relations and Graphs. ICDE 2022: 634-647 - 2020
- [i4]Muhammet Çakir, Sule Gündüz Ögüdücü, Resul Tugay:
A Deep Hybrid Model for Recommendation Systems. CoRR abs/2009.09748 (2020) - [i3]Resul Tugay, Sule Gündüz Ögüdücü:
Demand Prediction Using Machine Learning Methods and Stacked Generalization. CoRR abs/2009.09756 (2020) - [i2]Resul Tugay, Sule Gündüz Ögüdücü:
Ranky : An Approach to Solve Distributed SVD on Large Sparse Matrices. CoRR abs/2009.09767 (2020) - [i1]Bekir Berker Türker, Resul Tugay, Sule Ögüdücü, Ipek Kizil:
Hotel Recommendation System Based on User Profiles and Collaborative Filtering. CoRR abs/2009.14045 (2020)
2010 – 2019
- 2019
- [c2]Muhammet Çakir, Sule Gündüz Ögüdücü, Resul Tugay:
A Deep Hybrid Model for Recommendation Systems. AI*IA 2019: 321-335 - 2017
- [c1]Resul Tugay, Sule Gündüz Ögüdücü:
Demand Prediction using Machine Learning Methods and Stacked Generalization. DATA 2017: 216-222
Coauthor Index
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