activity
20202026
most citedHotel Recommendation System Based on User Profiles and Collaborative Filtering

1 citations · 1 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

7 papers · 1 filter

cs.LG2026

GraphK: Variable-Size Graph Generation with Efficient Edge Construction

Resul Tugay, Eren Oluğ, Elif Ak +1

Graph generation models have advanced significantly with deep learning, yet they remain limited in scalability, flexibility, and ability to model underlying structures. We present…

cs.LG2024

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…

cs.LG2024

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…

cs.LG2020★ 1 cited

Hotel Recommendation System Based on User Profiles and Collaborative Filtering

Bekir Berker Türker, Resul Tugay, Şule Öğüdücü +1

Nowadays, people start to use online reservation systems to plan their vacations since they have vast amount of choices available. Selecting when and where to go from this large-sc…

cs.LG2020

Ranky : An Approach to Solve Distributed SVD on Large Sparse Matrices

Resul Tugay, Sule Gunduz Oguducu

Singular Value Decomposition (SVD) is a well studied research topic in many fields and applications from data mining to image processing. Data arising from these applications can b…

cs.LG2020

A Deep Hybrid Model for Recommendation Systems

Muhammet cakir, sule gunduz oguducu, resul tugay

Recommendation has been a long-standing problem in many areas ranging from e-commerce to social websites. Most current studies focus only on traditional approaches such as content-…

cs.LG2020

Demand Prediction Using Machine Learning Methods and Stacked Generalization

Resul Tugay, Sule Gunduz Oguducu

Supply and demand are two fundamental concepts of sellers and customers. Predicting demand accurately is critical for organizations in order to be able to make plans. In this paper…