Bal谩zs Hidasi presentations

Bal谩zs Hidasi

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I'm a machine learning researcher with a wide interest in the field of machine learning and data mining. My current focus topics are deep learning, recommender systems and collaborative filtering; earlier I worked on model based time series classification. Currently I am the Head of Data Mining and Research at Gravity R&D, a Budapest (Hungary) based recommendation service provider company. I lead a small team of data scientists and work on my own recommendation systems related research. I actively publish the results of my research at scientific conferences and journals. I am an active participant in the EU FP7 funded CrowdRec project that aims at developing the new generation of recomm...

recommender systems context-awareness machine learning data mining implicit feedback deep learning shifttree g茅pi tanul谩s factorization context 补诲补迟产谩苍测谩蝉锄补迟 tensor factorization matrix factorization 颈诲艖蝉辞谤辞蝉锄迟谩濒测辞锄谩蝉 d枚nt茅si fa session-based recommendation recurrent neural network tenzor faktoriz谩ci贸颈苍颈肠颈补濒颈锄谩濒谩蝉 kontextus kontextus vez茅relts茅g m谩trix faktoriz谩ci贸补箩谩苍濒贸谤别苍诲蝉锄别谤 item-to-item recommendation itals alternating least squares initialization classification decision tree e-commerce stable diffusion generative ai benchmarking reimplementating algorithms reproducibility evaluation recsys2023 recsys negative sampling loss function gated recurrent unit recurrent neural networks neural networks summer school tutorial feature extraction phd thesis startup safary preference modeling scalability continuous context overview crowdrec research kollaborat铆v sz疟r茅s time series