Balázs Hidasi

According to our database1, Balázs Hidasi authored at least 24 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
DLRS 2018: third workshop on deep learning for recommender systems.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Multimedia recommender systems.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks.
CoRR, 2017

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations.
CoRR, 2017

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Deep Learning for Recommender Systems.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

DLRS 2017: Second Workshop on Deep Learning for Recommender Systems.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016
Speeding up ALS learning via approximate methods for context-aware recommendations.
Knowl. Inf. Syst., 2016

General factorization framework for context-aware recommendations.
Data Min. Knowl. Discov., 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS).
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015
Session-based Recommendations with Recurrent Neural Networks.
CoRR, 2015

Context-aware Preference Modeling with Factorization.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Using Interaction Signals for Job Recommendations.
Proceedings of the Mobile Computing, Applications, and Services, 2015

2014
General factorization framework for context-aware recommendations.
CoRR, 2014

2013
Initializing Matrix Factorization Methods on Implicit Feedback Databases.
J. UCS, 2013

Context-aware recommendations from implicit data via scalable tensor factorization.
CoRR, 2013

2012
Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback
CoRR, 2012

Personalized recommendation of linear content on interactive TV platforms: beating the cold start and noisy implicit user feedback.
Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

Fast ALS-Based Tensor Factorization for Context-Aware Recommendation from Implicit Feedback.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
ShiftTree: An Interpretable Model-Based Approach for Time Series Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011


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