Prof. Dr. Fatih Gedikli
Institut Informatik
Email:
fatih.gedikli@hs-ruhrwest.de
Telephone:
+49 208 88254-817
Professor of Artificial Intelligence, Big Data, Software Engineering and Web Engineering
Professor of Artificial Intelligence and Big Data
Fatih Gedikli is a computer scientist and Professor of Artificial Intelligence and Big Data at the Institute of Computer Science at Hochschule Ruhr West. His teaching covers Software Engineering, Web Engineering and Applied Artificial Intelligence.
His research focuses on the development of recommender systems, a key technology in machine learning. In an increasingly information-saturated world, such systems support users in discovering relevant products, services and content – whether selecting a book, choosing a hotel or identifying other personalised offerings. As an essential component of the modern web, recommender systems contribute to the creation of tailored digital experiences.
As a strong advocate of big data analytics, Professor Gedikli develops innovative solutions and tools to automatically detect and interpret complex patterns in large-scale datasets. A particular emphasis of his work lies in the development of AI-based data pipelines that integrate deep learning and natural language processing (NLP) to extract targeted information from unstructured sources such as news articles, social media and scientific publications, making it usable for data-driven decision-making.
Research Identity and Publication Networks
Person
- Member of the Association for Computing Machinery (ACM)
- Member of the Selection Committee, Avicenna-Studienwerk
Teaching
- Fundamentals of Computer Science and Programming
- Software Engineering
- Web Technologies and Mobile Applications
- Recommender Systems
- Mobile Computing
Research and Cooperation
- Recommender Systems
- News Recommendation and Analytics
- Natural Language Processing
- Artificial Intelligence: Applications and Theory
Entrepreneurial Engagement
- Co-founder and Co-CEO of graphworks.ai, a German start-up in the field of Artificial Intelligence.
- graphworks.ai offers interested students the opportunity to undertake a mandatory internship in Artificial Intelligence.
Current and Selected Publications
Fatih Gedikli, Dietmar Jannach: Recommender Systems, Semantic-Based . In Encyclopedia of Social Network Analysis and Mining (ESNAM, 3rd ed.), Springer, 2026. (Chapter submitted in 2024).
Lionel Richy Panlap Houamegni, Fatih Gedikli: Evaluating the Effectiveness of Large Language Models in Automated News Article Summarization
(2025), arXiv:2502.17136 [cs.AI].
Fatih Gedikli: The Importance of Recommender Systems: A Key Technology of the World Wide Web . Frontnow's blog, the essential resource exploring the latest trends in generative & conversational AI, expert opinion, and groundbreaking developments in the field, Frontnow GmbH, 22.09.2023.
Noah Janzen, Fatih Gedikli: NewsRecs - A Mobile App Framework for Conducting and Evaluating Online Experiments for News Recommender Systems. Proceedings of the 15th International Conference on Agents and Artificial Intelligence (ICAART 2023), 22-24 February, 2023, Lisbon, Portugal.
Anne Stockem Novo, Fatih Gedikli: Named entities as key features for detecting semantically similar news articles. International Journal of Semantic Computing (IJSC), Vol. 17, No. 4, pp. 633 - 649, 2023.
Anne Stockem Novo, Fatih Gedikli: Explaining BERT model decisions for near-duplicate news article detection based on named entity recognition. Proceedings of the 17th IEEE International Conference on Semantic Computing (IEEE ICSC 2023), 1-3 February, 2023, California, USA.
Fatih Gedikli: KI-basierter Wissensgraph: Veranschaulichung von Menschenrechtsverletzungen und Umweltsünden in globalen Lieferketten . Embedded-Software-Engineering - Fachwissen rund um professionelles Software-Engineering, Vogel Communications Group GmbH & Co. KG, 29.09.2022.
Fatih Gedikli, Anne Stockem Novo, Dietmar Jannach: Semi-Automated Identification of News Story Chains: A New Dataset and Entity-based Labeling Method. Proceedings of the 9th International Workshop on News Recommendation and Analytics (INRA 2021) in conjunction with 15th ACM Conference on Recommender Systems (RecSys 2021), September 25, 2021, Amsterdam, Netherland.
Fatih Gedikli, Dietmar Jannach, Mouzhi Ge: How should I explain? A comparison of different explanation types for recommender systems. In: International Journal of Human-Computer Studies (IJHCS), 72 (4), S. 367–382, 2014.
Fatih Gedikli, Dietmar Jannach: Improving recommendation accuracy based on item-specific tag preferences. In: ACM Transactions on Intelligent Systems and Technology (TIST), 4 (1), S. 1–19, 2013.
Gutachtertätigkeiten (Auswahl) / Reviewing Activities (Selected)
- Distinguished Reviewer for ACM Transactions on Recommender Systems – a leading international journal in the field
- Reviewer for various international journals and conferences, including:
- User Modeling and User-Adapted Interaction (UMUAI)
- ACM Transactions on Intelligent Systems and Technology (ACM TIST)
- Frontiers in Big Data
Programmkomitees (Auswahl) / Program Committees (Selected)
- Program Committee Member of SIGIReCom'25 (The 2025 SIGIR Workshop On eCommerce) – Padua, Italy
- Program Committee Member of SIGIReCom’24 (The 2024 SIGIR Workshop On eCommerce) – Washington, D.C., USA
- Program Committee Member of SIGIReCom’23 (The 2023 SIGIR Workshop On eCommerce) – Taipei, Taiwan
- Program Committee Member of SIGIReCom’21 (The 2021 SIGIR Workshop On eCommerce)
Offers
Invited Talks & Presentations
- 03 December 2025: Presentation titled “When Data Becomes More Powerful Than Oil: Big Data as a New Resource in the Age of AI” as part of the lecture series of the SmInt – Smart Interfaces project at Hochschule Niederrhein.
- 09 October 2025: Chaired the panel on “Digitalisation and AI in Healthcare” at the 8th International and 18th National Congress on Health and Hospital Administration, held at Istanbul Medipol University.
- 01 April 2025: Keynote Speaker – Opening keynote for the HRW Startup Project on the topic of “Entrepreneurship” (online).
- 19 January 2025: Workshop on Artificial Intelligence for the association Engineering for Innovation e.V. (EfI) in Duisburg.
- 25 September 2024: Opening keynote at the event “Starting Up in Mülheim – An Introduction to the Local Start-up Scene” in Mülheim an der Ruhr.
- 24 April 2024: Presentation on “Sustainable Supply Chains and New Sales Opportunities” for the Foreign Trade Committee of the Niederrhein Chamber of Industry and Commerce (IHK) in Duisburg.
Entrepreneurial Engagement
- Co-founder and Co-CEO of graphworks.ai, a German start-up in the field of Artificial Intelligence.
- graphworks.ai offers interested students the opportunity to undertake a mandatory internship in Artificial Intelligence.