3 papers
cs.IR2026
Beyond Co-purchase Relation: Evolution of Complementary Recommendations at Allegro
Aleksandra Osowska-Kurczab, Klaudia Nazarko, Eliška Kosturová +2
When a customer adds a professional camera to their cart, should the system suggest a matching lens, a generic tripod, or another camera body? Complementary Product Recommendation…
cs.IR2025
Suggest, Complement, Inspire: Story of Two Tower Recommendations at Allegro.com
Aleksandra Osowska-Kurczab, Klaudia Nazarko, Mateusz Marzec +2
Building large-scale e-commerce recommendation systems requires addressing three key technical challenges: (1) designing a universal recommendation architecture across dozens of pl…
cs.CL2024
AlleNoise: large-scale text classification benchmark dataset with real-world label noise
Alicja Rączkowska, Aleksandra Osowska-Kurczab, Jacek Szczerbiński +2
Label noise remains a challenge for training robust classification models. Most methods for mitigating label noise have been benchmarked using primarily datasets with synthetic noi…