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2020 – today
- 2023
[c19]Mete Sertkan, Sophia Althammer, Sebastian Hofstätter:
Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation. ACL (demo) 2023: 581-587- [c18]Mete Sertkan, Julia Neidhardt:
On the Effect of Incorporating Expressed Emotions in News Articles on Diversity within Recommendation Models. INRA@RecSys 2023 - [c17]Thomas E. Kolb, Ahmadou Wagne, Mete Sertkan, Julia Neidhardt:
Potentials of Combining Local Knowledge and LLMs for Recommender Systems. KaRS@RecSys 2023: 61-64 - [c16]Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Peter Knees, Julia Neidhardt:
Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation. Perspectives@RecSys 2023 - [i10]Mete Sertkan, Sophia Althammer, Sebastian Hofstätter:
Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation. CoRR abs/2305.15048 (2023) - 2022
- [j2]Linus W. Dietz, Mete Sertkan, Saadi Myftija, Sameera Thimbiri Palage, Julia Neidhardt, Wolfgang Wörndl:
A Comparative Study of Data-Driven Models for Travel Destination Characterization. Frontiers Big Data 5: 829939 (2022) - [c15]Julia Neidhardt
, Mete Sertkan:
Towards an Approach for Analyzing Dynamic Aspects of Bias and Beyond-Accuracy Measures. BIAS 2022: 35-42 - [c14]Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. CIKM 2022: 737-747 - [c13]Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury:
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. ECIR (1) 2022: 19-34 - [c12]Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Establishing Strong Baselines For TripClick Health Retrieval. ECIR (2) 2022: 144-152 - [c11]Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Julia Neidhardt:
Diversifying Sentiments in News Recommendation. Perspectives@RecSys 2022 - [c10]Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
A Time-Optimized Content Creation Workflow for Remote Teaching. SIGCSE (1) 2022: 731-737 - [c9]Mete Sertkan, Julia Neidhardt:
Exploring Expressed Emotions for Neural News Recommendation. UMAP (Adjunct Publication) 2022: 22-28 - [i9]Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Establishing Strong Baselines for TripClick Health Retrieval. CoRR abs/2201.00365 (2022) - [i8]Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury:
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. CoRR abs/2201.01614 (2022) - [i7]Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. CoRR abs/2203.13088 (2022) - [i6]Thomas Elmar Kolb, Irina Nalis, Mete Sertkan, Julia Neidhardt:
The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic. CoRR abs/2209.07608 (2022) - 2021
- [c8]Mete Sertkan:
Modeling Users and Items for Recommenders: There Is More than Semantics. RecSys 2021: 873-877 - [c7]Sebastian Hofstätter, Mete Sertkan, Allan Hanbury:
TU Wien at TREC DL and Podcast 2021: Simple Compression for Dense Retrieval. TREC 2021 - [i5]Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
A Time-Optimized Content Creation Workflow for Remote Teaching. CoRR abs/2110.05601 (2021) - 2020
- [c6]Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury:
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CIKM 2020: 3031-3038 - [c5]Mete Sertkan, Julia Neidhardt, Hannes Werthner:
PicTouRe - A Picture-Based Tourism Recommender. RecSys 2020: 597-599 - [c4]Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury:
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. SIGIR 2020: 2109-2112 - [c3]Mete Sertkan, Julia Neidhardt, Hannes Werthner:
Eliciting Touristic Profiles: A User Study on Picture Collections. UMAP 2020: 230-238 - [i4]Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury:
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. CoRR abs/2005.08367 (2020) - [i3]Mete Sertkan, Julia Neidhardt, Hannes Werthner:
Eliciting Touristic Profiles: A User Study on Picture Collections. CoRR abs/2006.05172 (2020) - [i2]Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury:
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CoRR abs/2008.05363 (2020) - [i1]Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, Allan Hanbury:
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation. CoRR abs/2010.02666 (2020)
2010 – 2019
- 2019
- [j1]Mete Sertkan, Julia Neidhardt, Hannes Werthner:
What is the "Personality" of a tourism destination? J. Inf. Technol. Tour. 21(1): 105-133 (2019) - [c2]Mete Sertkan, Julia Neidhardt, Hannes Werthner:
Documents, Topics, and Authors: Text Mining of Online News. CBI (1) 2019: 405-413 - 2018
- [c1]Mete Sertkan, Julia Neidhardt, Hannes Werthner:
Mapping of Tourism Destinations to Travel Behavioural Patterns. ENTER 2018: 422-434
Coauthor Index
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