Fattane Zarrinkalam

I am currently an Assistant Professor at the University of Guelph (UoG). Before joining UoG, I was Research Scientist at Thomson Reuters and a Postdoctoral Fellow at the Laboratory for Systems, Software and Semantics (LS3) at Ryerson University, where I worked on research and industrial projects related to Legal Tech and Semantic-enabled Social Media Analysis. I have already published my work in leading venues such as CIKM, ESWC and ECIR and some of the field's premier journals including Information Retrieval and Information Processing and Management. In addition, I am the principal author of “Extracting, Mining and Predicting Users’ Interests from Social Networks", an article-issue published in Foundations and Trends in Information Retrieval journal. Furthermore, I was involved in four patent applications that were filed with USPTO and presented tutorials at top-tier conferences in information retrieval, i.e. SIGIR, KDD, CIKM and IJCAI.

Research interests: Information Retrieval, Social Media Mining

Updates

  • January 2021: Tutorial presentation at IJCAI 2020

  • November 2020: textbook published at Foundations and Trends® in Information Retrieval

  • October 2020: 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN2020) - Special Edition on Dis/Misinformation Mining from Social networks” at CIKM2020

  • April 2019: Tutorial proposal accepted at KDD2019 "Social User Interest Mining: Methods and Applications"

  • April 2019: Tutorial proposal accepted at SIGIR2019 "Extracting, Mining and Predicting Users’ Interests from Social Networks"

  • December 2019: The paper resulted from my first collaboration with university of Lugano accepted at ECIR2019 “Predicting the Topic of Your Next Query for Just-In-Time IR”

  • November 2018: Our first book has been published by Ferdowsi University of Mashhad, "Object-Oriented Programming with Java for C Programmers"

  • August 2018: Two Papers accepted at CIKM2018 "Predicting Personal Life Events from Streaming Social Content" and "Causal Dependencies for Future Interest Prediction on Twitter"

  • July 2018: Paper accepted in Information Retrieval Journal "User Interest Prediction over Future Unobserved Topics on Social Networks"

  • January 2018: The paper resulted from my first collaboration with Women's College Research Institute accepted in Journal of Psychosomatic Research "Online social network response to studies on antidepressant use in pregnancy"

  • December 2017: Paper accepted in Information Processing and Management Journal "Mining User Interests over Active Topics on Social Networks" December 2017 Paper accep