| On gossip-based information dissemination in pervasive recommender systems T Eichinger, F Beierle, R Papke, L Rebscher, HC Tran, M Trzeciak Proceedings of the 13th ACM Conference on Recommender Systems, 442-446, 2019 | 10 | 2019 |
| Collaborating with users in proximity for decentralized mobile recommender systems F Beierle, T Eichinger 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 8 | 2019 |
| Affinity: A system for latent user similarity comparison on texting data T Eichinger, F Beierle, SU Khan, R Middelanis ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-7, 2019 | 6 | 2019 |
| Reviews are gold!? on the link between item reviews and item preferences T Eichinger Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and …, 2021 | 3 | 2021 |
| Distributed Data Minimization for Decentralized Collaborative Filtering Systems T Eichinger, A Küpper Proceedings of the 24th International Conference on Distributed Computing …, 2023 | 1 | 2023 |
| Regularly varying functions, generalized contents, and the spectrum of fractal strings T Eichinger, S Winter Horizons of fractal geometry and complex dimensions, Contemp. Math. 731, 63-94, 2019 | 1 | 2019 |
| On data minimization and anonymity in pervasive mobile-to-mobile recommender systems T Eichinger, A Küpper Pervasive and Mobile Computing, 101951, 2024 | | 2024 |
| Towards Building GDPR-Friendly Consent Management Systems on Top of Self-Sovereign Identity Ecosystems J Schramm, T Eichinger Open Identity Summit 2024, 93-102, 2024 | | 2024 |
| Affinity Android Mobile Application (. apk) T Eichinger | | 2023 |
| How Researchers Could Obtain Quick and Cheap User Feedback on their Algorithms Without Having to Operate their Own Recommender System T Eichinger, A Lamichhane arXiv preprint arXiv:2212.07177, 2022 | | 2022 |
| Can We Effectively Use Smart Contracts to Stipulate Time Constraints? T Eichinger, M Ebermann 2022 IEEE International Conference on Decentralized Applications and …, 2022 | | 2022 |
| Are User-Generated Item Reviews Actually Beneficial for Recommendation? TH Kao, L Dahm, T Eichinger KaRS@ RecSys, 17-22, 2022 | | 2022 |
| The Corpus Replication Task T Eichinger 2017 International Conference on Computational Science and Computational …, 2017 | | 2017 |
