Mete Sertkan

According to our database, Mete Sertkan authored at least 23 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation.

Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Peter Knees, Julia Neidhardt

Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Potentials of Combining Local Knowledge and LLMs for Recommender Systems.

Thomas E. Kolb, Ahmadou Wagne, Mete Sertkan, Julia Neidhardt

Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

On the Effect of Incorporating Expressed Emotions in News Articles on Diversity within Recommendation Models.

Mete Sertkan, Julia Neidhardt

Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023), 2023

Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation.

Mete Sertkan, Sophia Althammer, Sebastian Hofstätter

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

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

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

Exploring Expressed Emotions for Neural News Recommendation.

Mete Sertkan, Julia Neidhardt

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

A Time-Optimized Content Creation Workflow for Remote Teaching.

Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Diversifying Sentiments in News Recommendation.

Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Julia Neidhardt

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022 co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Establishing Strong Baselines For TripClick Health Retrieval.

Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury

Proceedings of the Advances in Information Retrieval, 2022

PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval.

Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury

Proceedings of the Advances in Information Retrieval, 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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Towards an Approach for Analyzing Dynamic Aspects of Bias and Beyond-Accuracy Measures.

Julia Neidhardt, Mete Sertkan

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022

2021

TU Wien at TREC DL and Podcast 2021: Simple Compression for Dense Retrieval.

Sebastian Hofstätter, Mete Sertkan, Allan Hanbury

Proceedings of the Thirtieth Text REtrieval Conference, 2021

Modeling Users and Items for Recommenders: There Is More than Semantics.

Mete Sertkan

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation.

Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, Allan Hanbury

CoRR, 2020

Eliciting Touristic Profiles: A User Study on Picture Collections.

Mete Sertkan, Julia Neidhardt, Hannes Werthner

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts.

Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

PicTouRe - A Picture-Based Tourism Recommender.

Mete Sertkan, Julia Neidhardt, Hannes Werthner

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering.

Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

What is the "Personality" of a tourism destination?

Mete Sertkan, Julia Neidhardt, Hannes Werthner

J. Inf. Technol. Tour., 2019

Documents, Topics, and Authors: Text Mining of Online News.

Mete Sertkan, Julia Neidhardt, Hannes Werthner

Proceedings of the 21st IEEE Conference on Business Informatics, 2019

2018

Mapping of Tourism Destinations to Travel Behavioural Patterns.

Mete Sertkan, Julia Neidhardt, Hannes Werthner

Proceedings of the Information and Communication Technologies in Tourism 2018, 2018