Balázs Hidasi

Orcid: 0009-0004-4259-8781

According to our database1, Balázs Hidasi authored at least 30 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023
Widespread Flaws in Offline Evaluation of Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

The Effect of Third Party Implementations on Reproducibility.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022
Multimedia Recommender Systems: Algorithms and Challenges.
Proceedings of the Recommender Systems Handbook, 2022

2019
IEEE Access Special Section Editorial: Social Computing Applications for Smart Cities.
IEEE Access, 2019

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

Cutting-Edge Collaborative Recommendation Algorithms: Deep Learning.
Proceedings of the Collaborative Recommendations, 2018

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
Context-aware factorization methods for implicit feedback based recommendation problems
PhD thesis, 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

Session-based Recommendations with Recurrent Neural Networks.
Proceedings of the 4th International Conference on Learning Representations, 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
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
Approximate modeling of continuous context in factorization algorithms.
Proceedings of the 4th Workshop on Context-Awareness in Retrieval and Recommendation, 2014

2013
Initializing Matrix Factorization Methods on Implicit Feedback Databases.
J. Univers. Comput. Sci., 2013

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

Context-aware item-to-item recommendation within the factorization framework.
Proceedings of the 3rd Workshop on Context-awareness in Retrieval and Recommendation, 2013

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

Enhancing matrix factorization through initialization for implicit feedback databases.
Proceedings of the 2nd Workshop on Context-awareness in Retrieval and Recommendation, 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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