Mapping of Tourism Destinations to Travel Behavioural Patterns. - Mete Sertkan; Julia Neidhardt; Hannes Werthner (ENTER, 2018)

Documents, Topics, and Authors: Text Mining of Online News. - Mete Sertkan; Julia Neidhardt; Hannes Werthner (CBI (1), 2019)

What is the "Personality" of a tourism destination? - Mete Sertkan; Julia Neidhardt; Hannes Werthner (J. Inf. Technol. Tour., 2019)

Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. - Sebastian Hofstätter; Markus Zlabinger; Mete Sertkan; Michael Schröder 005; Allan Hanbury (CIKM, 2020)

PicTouRe - A Picture-Based Tourism Recommender. - Mete Sertkan; Julia Neidhardt; Hannes Werthner (RecSys, 2020)

DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. - Markus Zlabinger; Marta Sabou; Sebastian Hofstätter; Mete Sertkan; Allan Hanbury (SIGIR, 2020)

Eliciting Touristic Profiles: A User Study on Picture Collections. - Mete Sertkan; Julia Neidhardt; Hannes Werthner (UMAP, 2020)

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation. - Sebastian Hofstätter; Sophia Althammer; Michael Schröder 005; Mete Sertkan; Allan Hanbury (CoRR, 2020)

Modeling Users and Items for Recommenders: There Is More than Semantics. - Mete Sertkan (RecSys, 2021)

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

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

Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. - Sebastian Hofstätter; Omar Khattab; Sophia Althammer; Mete Sertkan; Allan Hanbury (CIKM, 2022)

PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. - Sophia Althammer; Sebastian Hofstätter; Mete Sertkan; Suzan Verberne; Allan Hanbury (ECIR (1), 2022)

Establishing Strong Baselines For TripClick Health Retrieval. - Sebastian Hofstätter; Sophia Althammer; Mete Sertkan; Allan Hanbury (ECIR (2), 2022)

Diversifying Sentiments in News Recommendation. - Mete Sertkan; Sophia Althammer; Sebastian Hofstätter; Julia Neidhardt (Perspectives@RecSys, 2022)

A Time-Optimized Content Creation Workflow for Remote Teaching. - Sebastian Hofstätter; Sophia Althammer; Mete Sertkan; Allan Hanbury (SIGCSE (1), 2022)

Exploring Expressed Emotions for Neural News Recommendation. - Mete Sertkan; Julia Neidhardt (UMAP (Adjunct Publication), 2022)

The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic. - Thomas Elmar Kolb; Irina Nalis; Mete Sertkan; Julia Neidhardt (CoRR, 2022)

A Comparative Study of Data-Driven Models for Travel Destination Characterization. - Linus W. Dietz; Mete Sertkan; Saadi Myftija; Sameera Thimbiri Palage; Julia Neidhardt; Wolfgang Wörndl (Frontiers Big Data, 2022)

Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation. - Mete Sertkan; Sophia Althammer; Sebastian Hofstätter (ACL (demo), 2023)

On the Effect of Incorporating Expressed Emotions in News Articles on Diversity within Recommendation Models. - Mete Sertkan; Julia Neidhardt (INRA@RecSys, 2023)

Potentials of Combining Local Knowledge and LLMs for Recommender Systems. - Thomas E. Kolb; Ahmadou Wagne; Mete Sertkan; Julia Neidhardt (KaRS@RecSys, 2023)

Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation. - Mete Sertkan; Sophia Althammer; Sebastian Hofstätter; Peter Knees; Julia Neidhardt (Perspectives@RecSys, 2023)