Maryam Tavakol

Since March 2019, I am working as a Post-Doc at Artificial Intelligence Group, TU Dortmund. I was a member of Machine Learning group at the Institute of Information Systems at Leuphana University of Lüneburg as Research Assistant, and at the same time, doing my PhD in the Computer Science department of TU Darmstadt.

I received both of my B.Sc. and M.Sc degrees in Computer Science from the University of Tehran, Iran.

Email / CV / Google Scholar / LinkedIn


I will give a talk about "Contextual Models for Sequential Recommendation" on April 4th, 2019, 12:15 at Leuphana University of Lüneburg (Room C614.2013).


My major area of research is using Machine Learning techniques in Recommender Systems and Personalization.


MDP-based Itinerary Recommendation using Geo-Tagged Social Media
R. Gaonkar, M. Tavakol, and U. Brefeld
Proceedings of the Seventeenth International Symposium on Intelligent Data Analysis, 2018
[Code] / [Slides]
A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations
M. Tavakol and U. Brefeld
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML 2017
[Code] / [Slides]
A Preference-Based Bandit Framework for Personalized Recommendation
M. Tavakol and U. Brefeld
DA2PL Euro mini conference 2016
Feature Extraction and Aggregation for Predicting the Euro 2016
M. Tavakol, H. Zafartavanaelmi, U. Brefeld
Workshop of Sport Analysis, ECML 2016
Factored MDPs for Detecting the Topic of User Sessions
M. Tavakol and U. Brefeld
Proceedings of the ACM Conference on Recommender Systems, 2014
[Code] / [Slides]
A Distributed Q-Learning Approach for Variable Attention to Multiple Critics
M. Tavakol, M. N. Ahmadabadi, M. Mirian, M. Asadpour
International Conference on Neural Information Processing, ICONIP 2012