Tobias Eichinger

According to our database, Tobias Eichinger authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

On data minimization and anonymity in pervasive mobile-to-mobile recommender systems.

Tobias Eichinger, Axel Küpper

Pervasive Mob. Comput., 2024

Towards Building GDPR-Friendly Consent Management Systems on Top of Self-Sovereign Identity Ecosystems.

Julia Schramm, Tobias Eichinger

Proceedings of the Open Identity Summit 2024, Porto, Portugal, June 20-21, 2024, 2024

2023

Distributed Data Minimization for Decentralized Collaborative Filtering Systems.

Tobias Eichinger, Axel Küpper

Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023

2022

How Researchers Could Obtain Quick and Cheap User Feedback on their Algorithms Without Having to Operate their Own Recommender System.

Tobias Eichinger, Ananta Lamichhane

CoRR, 2022

Can We Effectively Use Smart Contracts to Stipulate Time Constraints?

Tobias Eichinger, Marcel Ebermann

CoRR, 2022

Are User-Generated Item Reviews Actually Beneficial for Recommendation?

Tzu-Hua Kao, Lea Dahm, Tobias Eichinger

Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

2021

Reviews Are Gold!? On the Link between Item Reviews and Item Preferences (Long paper).

Tobias Eichinger

Proceedings of the Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

2019

affinity: A System for Latent User Similarity Comparison on Texting Data.

Tobias Eichinger, Felix Beierle, Sumsam Ullah Khan, Robin Middelanis, Veeraraghavan Sekar, Sam Tabibzadeh

CoRR, 2019

Collaborating with Users in Proximity for Decentralized Mobile Recommender Systems.

Felix Beierle, Tobias Eichinger

Proceedings of the 2019 IEEE SmartWorld, 2019

On gossip-based information dissemination in pervasive recommender systems.

Tobias Eichinger, Felix Beierle, Robin Papke, Lucas Rebscher, Hong Chinh Tran, Magdalena Trzeciak

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Affinity: A System for Latent User Similarity Comparison on Texting Data.

Tobias Eichinger, Felix Beierle, Sumsam Ullah Khan, Robin Middelanis

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

The Corpus Replication Task.

Tobias Eichinger

CoRR, 2018