Community Contributions
Advancing AI Through Research & Community
At Recombee, we believe in open innovation and collaborative advancement of AI technologies. Through RecombeeLab, our research division, we actively contribute to the scientific community by publishing state-of-the-art research, supporting PhD students, and openly sharing our methods.
Our partnerships with top universities and our commitment to open-source development reflect our mission to democratize advanced AI technologies.
Research Excellence
Through RecombeeLab, our joint research laboratory with the Faculty of Information Technology at the Czech Technical University in Prague, we're pushing the boundaries of recommendation systems and machine learning. We provide financial support to PhD students and actively collaborate on groundbreaking research projects.
Publications
See all ->Segment-Aware Analytics for Real-Time Editorial Support in Media Groups: Lessons from The Telegraph
Analytics for Real-Time Editorial Support: Lessons from The Telegraph.
13th International Workshop on News Recommendation and Analytics co-located with the 19th ACM Conference on Recommender Systems
2025
The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems
90% Slimmer Production Embeddings.
Proceedings of the 19th ACM Conference on Recommender Systems
2025
Recurrent Autoregressive Linear Model for Next-Basket Recommendation
Simplicity Wins: Linear Beats Deep in Next-Basket Recommendation.
Proceedings of the 19th ACM Conference on Recommender Systems
2025
Evaluating Linear Shallow Autoencoders on Large Scale Datasets
Scalable Recommendation in Industrial Scale.
ACM Transactions on Recommender Systems
2025
Research Posters
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Open Source Projects
Community Engagement
We contribute as journal reviewers and serve on the program committees of major conferences.
Conference Support
Proud sponsor and co-organizer of major industry conferences including RecSys, contributing to the global advancement of recommendation systems research.
Non-Profit Collaboration
Supporting organizations like prg.ai and aidetem.cz in their mission to enhance education through AI-assisted personalization.
Making an Impact
Our commitment to open innovation and community support helps advance the field of AI while making cutting-edge technology accessible to researchers and developers worldwide.
Research Support
Funding PhD research and academic collaborations.
Open Source
Sharing advanced AI tools with the community.
Education
Supporting AI-driven educational initiatives.
Collaboration
Would you like to collaborate with us to push the boundaries of recommender systems? Are you interested in doing an industrial master’s or PhD thesis?
Contact us at research@recombee.com or check our Research Opportunities