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Azin Ghazimatin

Contact

About

Azin Ghazimatin is a PhD student at the Max Planck Institute for Informatics advised by Prof. Gerhard Weikum and Dr. Rishiraj Saha Roy. Her research focuses on Transparency and Explanainability of Recommender Systems. She earned her master’s degree at Sharif University of Technology and her bachelor’s at Amirkabir University of Technology, Tehran, Iran.

Research Interests

  • Interpretability of Recommender Systems
  • Privacy in Online Services
  • Social Network Analysis
  • Combinatorial Optimization

News

  • 25-30 July 2020: SIGIR Conference, Online Event
  • Oct 2019-Feb 2020: Coordinator for course "Information Retrieval and Data Mining", Saaland University
  • 11-15 February 2019: WSDM Conference, Melbourne, Australia
  • 27 August 2018 - 08 September 2018: Machine Learning Summer School (MLSS), Madrid, Spain
  • 06-10 November 2017: CIKM Conference, Singapore
  • Oct 2017-Feb 2018: TA for "Information Retrieval and Data Mining", Saaland University
  • 04-06 October 2017: Audi Smart Factory Hackathon, Ingolstadt, Germany

Publications

  • Explaining Recommendations in Heterogeneous Networks
    Azin Ghazimatin
    43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)
    Doctoral Consortium
  • PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
    Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy, and Gerhard Weikum
    13th ACM International Conference on Web Search and Data Mining (WSDM 2020) [PDF] [Slides] [Poster] [Code]
  • FAIRY: A Framework for Understanding Relationships between Users’ Actions and their Social Feeds
    Azin Ghazimatin, Rishiraj Saha Roy, Gerhard Weikum
    12th ACM International Conference on Web Search and Data Mining (WSDM 2019) [PDF] [Slides] [Poster] [Code]
  • Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities
    Asia J. Biega, Azin Ghazimatin, Hakan Ferhatosmanoglu, Krishna Gummadi, Gerhard Weikum
    26th ACM International Conference on Information and Knowledge Management (CIKM 2017) [PDF]
  • Team Selection for Prediction Tasks
    MohammadAmin Fazli, Azin Ghazimatin, Jafar Habibi, Hamid Haghshenas
    Journal of Combinatorial Optimization, Springer 2014 [PDF]

Teaching

  • Information Retrieval and Data Mining (Coordinator), Saarland University, winter semester 2019-2020
  • Information Retrieval and Data Mining (TA), Saarland University, winter semester 2017-2018
  • Discrete-Event System Simulation (TA), Sharif University, summer semester 2014

Recent Positions

  • September 2016 - February 2017
    Immersion lab at Max Planck Institute for Software Systems, Saarbrücken, Germany
  • November 2015 - February 2017
    Saarbrücken Graduate School of Computer Science, Germany

Education

  • March 2017 - present: Ph.D. student in Computer Science at the Universität des Saarlandes, Saarbrücken, Germany and the Max-Planck-Institut für Informatik
  • September 2012 - August 2014: Sharif University of Technology, Tehran, Iran M.Sc. in Softwares and Systems
    Title of Master's Thesis: Elicitation and Aggregation of Experts’ Knowledge for Event Outcome Prediction
    Supervisor: Dr. Jafar Habibi
  • September 2008 - September 2012: Amirkabir University of Technology, Tehran, Iran B.Sc. in Software Engineering
    Title of Bachelor's Thesis: Design and Implementation of Desktop Games’ quality evaluator software
    Supervisor: Dr. Mohammadreza Razzazi