Pawel Matuszyk

According to our database, Pawel Matuszyk authored at least 18 papers between 2012 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Exploiting entity information for stream classification over a stream of reviews.

Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018

Forgetting techniques for stream-based matrix factorization in recommender systems.

Pawel Matuszyk, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge, João Gama

Knowl. Inf. Syst., 2018

Personalized recommender systems for product-line configuration processes.

Juliana Alves Pereira, Pawel Matuszyk, Sebastian Krieter, Myra Spiliopoulou, Gunter Saake

Comput. Lang. Syst. Struct., 2018

ORSUM Chairs' Welcome & Organization.

Alípio Jorge, João Vinagre, Pawel Matuszyk, Myra Spiliopoulou

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity.

Christian Beyer, Vishnu Unnikrishnan, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

Selective learning for recommender systems.

Pawel Matuszyk

PhD thesis, 2017

Stream-based semi-supervised learning for recommender systems.

Pawel Matuszyk, Myra Spiliopoulou

Mach. Learn., 2017

Selektives Lernen für Empfehlungsmaschinen.

Pawel Matuszyk

Proceedings of the Ausgezeichnete Informatikdissertationen 2017, 2017

2016

A feature-based personalized recommender system for product-line configuration.

Juliana Alves Pereira, Pawel Matuszyk, Sebastian Krieter, Myra Spiliopoulou, Gunter Saake

Proceedings of the 2016 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2016

Scalable Online Top-N Recommender Systems.

Alípio M. Jorge, João Vinagre, Marcos Aurélio Domingues, João Gama, Carlos Soares, Pawel Matuszyk, Myra Spiliopoulou

Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016

2015

Forgetting methods for incremental matrix factorization in recommender systems.

Pawel Matuszyk, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge, João Gama

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Semi-supervised Learning for Stream Recommender Systems.

Pawel Matuszyk, Myra Spiliopoulou

Proceedings of the Discovery Science - 18th International Conference, 2015

2014

Predicting the Performance of Collaborative Filtering Algorithms.

Pawel Matuszyk, Myra Spiliopoulou

Proceedings of the 4th International Conference on Web Intelligence, 2014

Hoeffding-CF: Neighbourhood-Based Recommendations on Reliably Similar Users.

Pawel Matuszyk, Myra Spiliopoulou

Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Selective Forgetting for Incremental Matrix Factorization in Recommender Systems.

Pawel Matuszyk, Myra Spiliopoulou

Proceedings of the Discovery Science - 17th International Conference, 2014

2013

Framework for Storing and Processing Relational Entities in Stream Mining.

Pawel Matuszyk, Myra Spiliopoulou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Correcting the Usage of the Hoeffding Inequality in Stream Mining.

Pawel Matuszyk, Georg Krempl, Myra Spiliopoulou

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

2012

Framework for Computer Aided Analysis of Medical Protocols in a Hospital.

René Schult, Pawel Matuszyk, Myra Spiliopoulou

Proceedings of the HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics, Vilamoura, Algarve, Portugal, 1, 2012