| Volatility prediction using financial disclosures sentiments with word embedding-based IR models N Rekabsaz, M Lupu, A Baklanov, A Hanbury, A Dür, L Anderson Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 78 | 2017 |
| Investigating gender fairness of recommendation algorithms in the music domain AB Melchiorre, N Rekabsaz, E Parada-Cabaleiro, S Brandl, O Lesota, ... Information Processing & Management 58 (5), 102666, 2021 | 60 | 2021 |
| Do Neural Ranking Models Intensify Gender Bias? N Rekabsaz, M Schedl Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020 | 47 | 2020 |
| Exploration of a threshold for similarity based on uncertainty in word embedding N Rekabsaz, M Lupu, A Hanbury Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 46 | 2017 |
| Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers N Rekabsaz, S Kopeinik, M Schedl Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 37 | 2021 |
| On the effect of low-frequency terms on neural-IR models S Hofstätter, N Rekabsaz, C Eickhoff, A Hanbury Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 37 | 2019 |
| Word embedding causes topic shifting; exploit global context! N Rekabsaz, M Lupu, A Hanbury, H Zamani Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 34 | 2017 |
| Generalizing translation models in the probabilistic relevance framework N Rekabsaz, M Lupu, A Hanbury, G Zuccon Proceedings of the 25th ACM international on conference on information and …, 2016 | 33 | 2016 |
| Analyzing item popularity bias of music recommender systems: are different genders equally affected? O Lesota, A Melchiorre, N Rekabsaz, S Brandl, D Kowald, E Lex, ... Proceedings of the 15th ACM Conference on Recommender Systems, 601-606, 2021 | 26 | 2021 |
| TripClick: the log files of a large health web search engine N Rekabsaz, O Lesota, M Schedl, J Brassey, C Eickhoff Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 21 | 2021 |
| Not all relevance scores are equal: Efficient uncertainty and calibration modeling for deep retrieval models D Cohen, B Mitra, O Lesota, N Rekabsaz, C Eickhoff Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 18 | 2021 |
| LFM-2B: a dataset of enriched music listening events for recommender systems research and fairness analysis M Schedl, S Brandl, O Lesota, E Parada-Cabaleiro, D Penz, N Rekabsaz ACM SIGIR Conference on Human Information Interaction and Retrieval, 337-341, 2022 | 16 | 2022 |
| Toward incorporation of relevant documents in word2vec N Rekabsaz, B Mitra, M Lupu, A Hanbury arXiv preprint arXiv:1707.06598, 2017 | 16 | 2017 |
| Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence N Rekabsaz, R West, J Henderson, A Hanbury Proceedings of the International AAAI Conference on Web and Social Media, 2021 | 15 | 2021 |
| Enriching word embeddings for patent retrieval with global context S Hofstätter, N Rekabsaz, M Lupu, C Eickhoff, A Hanbury Advances in Information Retrieval: 41st European Conference on IR Research …, 2019 | 15 | 2019 |
| WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models B Minixhofer, F Paischer, N Rekabsaz Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 14 | 2022 |
| Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results K Krieg, E Parada-Cabaleiro, G Medicus, O Lesota, M Schedl, ... Proceedings of the 2023 Conference on Human Information Interaction and …, 2023 | 13 | 2023 |
| Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization G Zerveas, N Rekabsaz, D Cohen, C Eickhoff Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 12* | 2022 |
| Unlearning Protected User Attributes in Recommendations with Adversarial Training C Ganhör, D Penz, N Rekabsaz, O Lesota, M Schedl Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 11* | 2022 |
| A modern perspective on query likelihood with deep generative retrieval models O Lesota, N Rekabsaz, D Cohen, KA Grasserbauer, C Eickhoff, M Schedl Proceedings of the 2021 ACM SIGIR International Conference on Theory of …, 2021 | 9 | 2021 |
Allan HanburyTU Wien, Complexity Science Hub ViennaVerified email at ifs.tuwien.ac.at
