| High Enough? explaining and predicting traveler Satisfaction using airline reviews E Lacic, D Kowald, E Lex Proceedings of the 27th ACM conference on hypertext and social media, 249-254, 2016 | 51 | 2016 |
| Trust-based collaborative filtering: Tackling the cold start problem using regular equivalence T Duricic, E Lacic, D Kowald, E Lex Proceedings of the 12th ACM conference on recommender systems, 446-450, 2018 | 44 | 2018 |
| Using autoencoders for session-based job recommendations E Lacic, M Reiter-Haas, D Kowald, M Reddy Dareddy, J Cho, E Lex User Modeling and User-Adapted Interaction 30, 617-658, 2020 | 33 | 2020 |
| Tagrec: Towards a standardized tag recommender benchmarking framework D Kowald, E Lacic, C Trattner Proceedings of the 25th ACM conference on Hypertext and social media, 305-307, 2014 | 31 | 2014 |
| Popularity bias in collaborative filtering-based multimedia recommender systems D Kowald, E Lacic International Workshop on Algorithmic Bias in Search and Recommendation, 1-11, 2022 | 29 | 2022 |
| Should we embed in chemistry? A comparison of unsupervised transfer learning with PCA, UMAP, and VAE on molecular fingerprints M Lovrić, T Đuričić, HTN Tran, H Hussain, E Lacić, MA Rasmussen, ... Pharmaceuticals 14 (8), 758, 2021 | 28 | 2021 |
| Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems. E Lacic, D Kowald, M Traub, G Luzhnica, J Simon, E Lex RecSys Posters, 2015 | 28 | 2015 |
| Recommending items in social tagging systems using tag and time information E Lacic, D Kowald, P Seitlinger, C Trattner, D Parra arXiv preprint arXiv:1406.7727, 2014 | 28 | 2014 |
| Towards a scalable social recommender engine for online marketplaces: The case of apache solr E Lacic, D Kowald, D Parra, M Kahr, C Trattner Proceedings of the 23rd International Conference on World Wide Web, 817-822, 2014 | 28 | 2014 |
| Utilizing online social network and location-based data to recommend products and categories in online marketplaces E Lacic, D Kowald, L Eberhard, C Trattner, D Parra, LB Marinho International Workshop on Mining Ubiquitous and Social Environments, 96-115, 2013 | 27 | 2013 |
| Predicting treatment outcomes using explainable machine learning in children with asthma M Lovrić, I Banić, E Lacić, K Pavlović, R Kern, M Turkalj Children 8 (5), 376, 2021 | 26 | 2021 |
| Should we embed? A study on the online performance of utilizing embeddings for real-time job recommendations E Lacic, M Reiter-Haas, T Duricic, V Slawicek, E Lex Proceedings of the 13th ACM conference on recommender systems, 496-500, 2019 | 23 | 2019 |
| Tagrec: towards a toolkit for reproducible evaluation and development of tag-based recommender algorithms C Trattner, D Kowald, E Lacic ACM SIGWEB Newsletter 2015 (Winter), 1-10, 2015 | 17 | 2015 |
| Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks T Duricic, D Kowald, E Lacic, E Lex Frontiers in big data 6, 1251072, 2023 | 15 | 2023 |
| Beyond accuracy optimization: On the value of item embeddings for student job recommendations E Lacic, D Kowald, M Reiter-Haas, V Slawicek, E Lex arXiv preprint arXiv:1711.07762, 2017 | 13 | 2017 |
| Scar: Towards a real-time recommender framework following the microservices architecture E Lacic, M Traub, D Kowald, E Lex Proceedings of the Workshop on Large Scale Recommender Systems (LSRS2015) at …, 2015 | 12 | 2015 |
| The social semantic server: a flexible framework to support informal learning at the workplace S Dennerlein, D Kowald, E Lex, D Theiler, E Lacic, T Ley Proceedings of the 15th International Conference on Knowledge Technologies …, 2015 | 11 | 2015 |
| Socrecm: A scalable social recommender engine for online marketplaces E Lacic, D Kowald, C Trattner Proceedings of the 25th ACM conference on Hypertext and social media, 308-310, 2014 | 11 | 2014 |
| What drives readership? an online study on user interface types and popularity bias mitigation in news article recommendations E Lacic, L Fadljevic, F Weissenboeck, S Lindstaedt, D Kowald European Conference on Information Retrieval, 172-179, 2022 | 8 | 2022 |
| AFEL-REC: a recommender system for providing learning resource recommendations in social learning environments D Kowald, E Lacic, D Theiler, E Lex arXiv preprint arXiv:1808.04603, 2018 | 7 | 2018 |
Dominik KowaldResearch Area Manager, FAIR-AI, Know-Center, Graz University of TechnologyVerified email at tugraz.at
Elisabeth LexProf. at Graz University of TechnologyVerified email at tugraz.at
Tomislav ĐuričićUniversity Assistant, Know-Center and Graz University of TechnologyVerified email at tugraz.at
Christoph TrattnerProfessor Responsible AI // Director of MediaFutures @ University of BergenVerified email at uib.no
Markus Reiter-HaasPostDoc @ Duke UniversityVerified email at duke.edu
Denis ParraPontificia Universidad Católica de ChileVerified email at ing.puc.cl
Dieter TheilerGraz University of Technology, Know-Center GmbHVerified email at tugraz.atRoman KernKnow Center, Graz University of TechnologyVerified email at know-center.at
Mario LovrićInAntro | COPSAC | Lisbon CouncilVerified email at inantro.hr
Leandro Balby MarinhoProfessor de Ciência da Computação, Universidade Federal de Campina GrandeVerified email at dsc.ufcg.edu.br
