Personal Information
Unternehmen/Arbeitsplatz
Hungary area Hungary
Beruf
Head of Data Mining and Research at Gravity R&D
Branche
Technology / Software / Internet
Webseite
www.hidasi.eu
Info
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...
Tags
recommender systems
context-awareness
implicit feedback
data mining
machine learning
deep learning
factorization
context
adatbányászat
gépi tanulás
shifttree
tensor factorization
matrix factorization
idősor
osztályozás
döntési fa
session-based recommendation
recurrent neural network
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
kollaboratív szűrés
ajánlórendszer
kontextus vezéreltség
inicializálás
tenzor faktorizáció
kontextus
mátrix faktorizáció
item-to-item recommendation
itals
alternating least squares
initialization
classification
decision tree
time series
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Präsentationen
(18)Gefällt mir
(2)Deep Learning for Recommender Systems RecSys2017 Tutorial
Alexandros Karatzoglou
•
Vor 6 Jahren
Deep Learning for Recommender Systems - Budapest RecSys Meetup
Alexandros Karatzoglou
•
Vor 7 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Hungary area Hungary
Beruf
Head of Data Mining and Research at Gravity R&D
Branche
Technology / Software / Internet
Webseite
www.hidasi.eu
Info
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...
Tags
recommender systems
context-awareness
implicit feedback
data mining
machine learning
deep learning
factorization
context
adatbányászat
gépi tanulás
shifttree
tensor factorization
matrix factorization
idősor
osztályozás
döntési fa
session-based recommendation
recurrent neural network
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
kollaboratív szűrés
ajánlórendszer
kontextus vezéreltség
inicializálás
tenzor faktorizáció
kontextus
mátrix faktorizáció
item-to-item recommendation
itals
alternating least squares
initialization
classification
decision tree
time series
Mehr anzeigen