26 citations · 50 across the 3 of their papers we have counts for
3 papers
cs.IR2024★ 4 cited
Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce
Ádám Tibor Czapp, Mátyás Jani, Bálint Domián +1
Coupling latent diffusion based image generation with contextual bandits enables the creation of eye-catching personalized product images at scale that was previously either imposs…
cs.IR2023★ 20 cited
The Effect of Third Party Implementations on Reproducibility
Balázs Hidasi, Ádám Tibor Czapp
Reproducibility of recommender systems research has come under scrutiny during recent years. Along with works focusing on repeating experiments with certain algorithms, the researc…
cs.IR2023★ 26 cited
Widespread Flaws in Offline Evaluation of Recommender Systems
Balázs Hidasi, Ádám Tibor Czapp
Even though offline evaluation is just an imperfect proxy of online performance -- due to the interactive nature of recommenders -- it will probably remain the primary way of evalu…