1 citations · 1 across the 8 of their papers we have counts for
4 papers · 1 filter
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
Sümeyye Öztürk, Ahmed Burak Ercan, Resul Tugay +1
In today's world of globalized commerce, cross-market recommendation systems (CMRs) are crucial for providing personalized user experiences across diverse market segments. However,…
A GNN Model with Adaptive Weights for Session-Based Recommendation Systems
Begüm Özbay, Resul Tugay, Şule Gündüz Öğüdücü
Session-based recommendation systems aim to model users' interests based on their sequential interactions to predict the next item in an ongoing session. In this work, we present a…
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model
Eren Olug, Kiymet Kaya, Resul Tugay +1
Road traffic congestion prediction is a crucial component of intelligent transportation systems, since it enables proactive traffic management, enhances suburban experience, reduce…
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs
Sumeyye Bas, Kiymet Kaya, Resul Tugay +1
Graphs are crucial for representing interrelated data and aiding predictive modeling by capturing complex relationships. Achieving high-quality graph representation is important fo…