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pro vyhledávání: '"Czapp, Ádám Tibor"'
Coupling latent diffusion based image generation with contextual bandits enables the creation of eye-catching personalized product images at scale that was previously either impossible or too expensive. In this paper we showcase how we utilized these
Externí odkaz:
http://arxiv.org/abs/2408.12392
Autor:
Hidasi, Balázs, Czapp, Ádám Tibor
Reproducibility of recommender systems research has come under scrutiny during recent years. Along with works focusing on repeating experiments with certain algorithms, the research community has also started discussing various aspects of evaluation
Externí odkaz:
http://arxiv.org/abs/2307.14956
Autor:
Hidasi, Balázs, Czapp, Ádám Tibor
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 evaluation in recommender systems research for the foreseeable future, sinc
Externí odkaz:
http://arxiv.org/abs/2307.14951