| Improving efficient neural ranking models with cross-architecture knowledge distillation S Hofstätter, S Althammer, M Schröder, M Sertkan, A Hanbury arXiv preprint arXiv:2010.02666, 2020 | 198 | 2020 |
| What is the “Personality” of a tourism destination? M Sertkan, J Neidhardt, H Werthner Information Technology & Tourism 21 (1), 105-133, 2019 | 42 | 2019 |
| The Vienna manifesto on digital humanism H Werthner Digital transformation and ethics, 338-357, 2020 | 33 | 2020 |
| Introducing neural bag of whole-words with colberter: Contextualized late interactions using enhanced reduction S Hofstätter, O Khattab, S Althammer, M Sertkan, A Hanbury Proceedings of the 31st ACM International Conference on Information …, 2022 | 28 | 2022 |
| From pictures to travel characteristics: deep learning-based profiling of tourists and tourism destinations M Sertkan, J Neidhardt, H Werthner Information and Communication Technologies in Tourism 2020: Proceedings of …, 2020 | 19 | 2020 |
| PARM: A paragraph aggregation retrieval model for dense document-to-document retrieval S Althammer, S Hofstätter, M Sertkan, S Verberne, A Hanbury European Conference on Information Retrieval, 19-34, 2022 | 16 | 2022 |
| Eliciting touristic profiles: a user study on picture collections M Sertkan, J Neidhardt, H Werthner Proceedings of the 28th ACM conference on user modeling, adaptation and …, 2020 | 16 | 2020 |
| PicTouRe-a picture-based tourism recommender M Sertkan, J Neidhardt, H Werthner Proceedings of the 14th ACM Conference on Recommender Systems, 597-599, 2020 | 14 | 2020 |
| Mapping of tourism destinations to travel behavioural patterns M Sertkan, J Neidhardt, H Werthner Information and Communication Technologies in Tourism 2018: Proceedings of …, 2018 | 14 | 2018 |
| Establishing strong baselines for tripclick health retrieval S Hofstätter, S Althammer, M Sertkan, A Hanbury European Conference on Information Retrieval, 144-152, 2022 | 12 | 2022 |
| Fine-grained relevance annotations for multi-task document ranking and question answering S Hofstätter, M Zlabinger, M Sertkan, M Schröder, A Hanbury Proceedings of the 29th ACM International Conference on Information …, 2020 | 10 | 2020 |
| Pictures as a tool for matching tourist preferences with destinations W Grossmann, M Sertkan, J Neidhardt, H Werthner Personalized Human-Computer Interaction, 1-5, 2019 | 6 | 2019 |
| Documents, topics, and authors: Text mining of online news M Sertkan, J Neidhardt, H Werthner 2019 IEEE 21st Conference on Business Informatics (CBI) 1, 405-413, 2019 | 6 | 2019 |
| Improving efficient neural ranking models with cross-architecture knowledge distillation (2020) S Hofstätter, S Althammer, M Schröder, M Sertkan, A Hanbury URL https://arxiv. org/abs, 2010 | 6 | 2010 |
| From Pictures to Touristic Profiles: A Deep-Learning Based Approach M Sertkan, J Neidhardt, H Werthner Proceedings of the 1st International Alan Turing Conference on Decision …, 2019 | 5 | 2019 |
| Ranger: a toolkit for effect-size based multi-task evaluation M Sertkan, S Althammer, S Hofstätter arXiv preprint arXiv:2305.15048, 2023 | 4 | 2023 |
| A comparative study of data-driven models for travel destination characterization LW Dietz, M Sertkan, S Myftija, S Thimbiri Palage, J Neidhardt, W Wörndl Frontiers in big data 5, 829939, 2022 | 4 | 2022 |
| Diversifying Sentiments in News Recommendation. M Sertkan, S Althammer, S Hofstätter, J Neidhardt Perspectives@ RecSys, 2022 | 3 | 2022 |
| Exploring expressed emotions for neural news recommendation M Sertkan, J Neidhardt Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation …, 2022 | 3 | 2022 |
| Towards an approach for analyzing dynamic aspects of bias and beyond-accuracy measures J Neidhardt, M Sertkan International Workshop on Algorithmic Bias in Search and Recommendation, 35-42, 2022 | 3 | 2022 |
Julia NeidhardtTU WienVerified email at ec.tuwien.ac.at
