Mete Sertkan

Mete Sertkan is a Ph.D. student and research assistant at TU Wien. He holds a BSc and MSc (Dipl.-Ing.) in Business Informatics from TU Wien. Mete's research interests are in the areas of User Modeling & Personalization, Recommender Systems, Natural Language Processing, and Information Retrieval. He brings professional experience in Machine Learning, Software- & Web-Engineering, which he gained during his roles in the industry as Data Scientist, Backend-, and Web-Developer. Mete is about to finish his Ph.D., and he has already published multiple papers in various conferences and journals, including RecSys, UMAP, SIGIR, CIKM, ACL, ENTER, Frontiers in BigData, and JITT. He has also volunteered as a student volunteer at RecSys 2021 and served as a PC member for various conferences/workshops and as an organizing committee member for the Digital Humanism Initiative. Mete is co-supervising and has already successfully co-supervised bachelor's and master's students.

Reach Out

• Twitter
• LinkedIn
• GitHub
• TU Wien
• Google Scholar
• Mail

Selected Publications

Tourism - Preference Elicitation

• PicTouRe - A Picture-Based Tourism Recommender by Mete Sertkan, Julia Neidhardt, Hannes Werthner (2020). Paper & Repo

• Eliciting touristic profiles: A user study on picture collections by Mete Sertkan, Julia Neidhardt, Hannes Werthner (2020). Paper & Repo

• What is the “Personality” of a tourism destination? by Mete Sertkan, Julia Neidhardt, Hannes Werthner (2019). Paper

News - Sentiment/Emotions & Diversity

• Exploring Expressed Emotions for Neural News Recommendation by Mete Sertkan, Julia Neidhardt (2022). Paper & Repo

• Diversifying Sentiments in News Recommendation by Mete Sertkan, Sofia Althammer, Sebastian Hoftstätter, Julia Neidhardt (2022). Paper & Repo

• Towards an Approach for Analyzing Dynamic Aspects of Bias and Beyond-Accuracy Measures by Julia Neidhardt, Mete Sertkan (2022). Paper

IR & RecSys - Evaluation

• Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation by Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Peter Knees, Julia Neidhardt (2023). Paper & Repo

• Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation by Mete Sertkan, Sophia Althammer, Sebastian Hofstätter (2023). Paper & Repo

• TU Wien at TREC DL and Podcast 2021: Simple Compression for Dense Retrieval by Sebastian Hofstätter, Mete Sertkan, Allan Hanbury (2021). Paper

For an extensive list of publications visit Google Scholar.

Activities & Talks

• Speaker @ ÖAW AI Winter School 2023

• Streaming & Broadcasting Chairs @ UMAP 2022

• Organizing Committee @ Towards a Research and Innovation Roadmap

• Student Volunteer @ RecSys 2021

• Organizing Committee @ Strategies for a Humanistic Digital Future

• Organizing Committee @ Digital Humanism: Informatics in Times of COVID-19

• Organizing Committee @ Vienna Workshop on Digital Humanism

• Participant @ RecSys Summerschool

Teaching

• Recommender Systems

• Social Network Analysis

• Innovation

• Digital Humanism