Şule Gündüz Öğüdücü

About Şule Gündüz Öğüdücü

Şule Gündüz Öğüdücü, With an exceptional h-index of 25 and a recent h-index of 20 (since 2020), a distinguished researcher at Istanbul Teknik Üniversitesi, specializes in the field of Data Mining, web mining, recommendation systems, deep learning, social network analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System

X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System

A YANG-aided Unified Strategy for Black Hole Detection for Backbone Networks

A reinforcement learning based dynamic room pricing model for hotel industry

Learning football player features using graph embeddings for player recommendation system

A hierarchical recommendation system for E-commerce using online user reviews

Demand forecasting model using hotel clustering findings for hospitality industry

biDeepFM: A multi-objective deep factorization machine for reciprocal recommendation

Şule Gündüz Öğüdücü Information

University

Position

Professor at

Citations(all)

1973

Citations(since 2020)

1054

Cited By

1305

hIndex(all)

25

hIndex(since 2020)

20

i10Index(all)

47

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Şule Gündüz Öğüdücü Skills & Research Interests

Data Mining

web mining

recommendation systems

deep learning

social network analysis

Top articles of Şule Gündüz Öğüdücü

Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System

2024

X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System

arXiv preprint arXiv:2402.00839

2024/2/1

A YANG-aided Unified Strategy for Black Hole Detection for Backbone Networks

arXiv preprint arXiv:2402.00831

2024/2/1

A reinforcement learning based dynamic room pricing model for hotel industry

INFOR: Information Systems and Operational Research

2023/7/11

Learning football player features using graph embeddings for player recommendation system

2022/4/25

Şule Gündüz Öğüdücü
Şule Gündüz Öğüdücü

H-Index: 16

A hierarchical recommendation system for E-commerce using online user reviews

Electronic Commerce Research and Applications

2022/3/1

Demand forecasting model using hotel clustering findings for hospitality industry

Information Processing & Management

2022/1/1

Kıymet Kaya
Kıymet Kaya

H-Index: 4

Yusuf Yaslan
Yusuf Yaslan

H-Index: 12

Şule Gündüz Öğüdücü
Şule Gündüz Öğüdücü

H-Index: 16

biDeepFM: A multi-objective deep factorization machine for reciprocal recommendation

Engineering Science and Technology, an International Journal

2021/12/1

Ezgi Yıldırım
Ezgi Yıldırım

H-Index: 3

Şule Gündüz Öğüdücü
Şule Gündüz Öğüdücü

H-Index: 16

Enriching demand prediction with product relationship information using graph neural networks

2021/11/8

Şule Gündüz Öğüdücü
Şule Gündüz Öğüdücü

H-Index: 16

Deep hybrid recommender system

2020/10/5

Alper Özcan
Alper Özcan

H-Index: 3

Şule Gündüz Öğüdücü
Şule Gündüz Öğüdücü

H-Index: 16

Demand prediction using machine learning methods and stacked generalization

arXiv preprint arXiv:2009.09756

2020/9/21

Hotel Recommendation System Based on User Profiles and Collaborative Filtering

arXiv e-prints

2020/9

Deep flexible sequential (DFS) model for air pollution forecasting

Scientific reports

2020/2/25

Kıymet Kaya
Kıymet Kaya

H-Index: 4

Şule Gündüz Öğüdücü
Şule Gündüz Öğüdücü

H-Index: 16

A hybrid recommendation system based on bidirectional encoder representations

2020

Neural hybrid recommender: recommendation needs collaboration

2020

Ezgi Yıldırım
Ezgi Yıldırım

H-Index: 3

Şule Gündüz Öğüdücü
Şule Gündüz Öğüdücü

H-Index: 16

See List of Professors in Şule Gündüz Öğüdücü University(Istanbul Teknik Üniversitesi)