Fattane Zarrinkalam
I am currently an Assistant Professor in the School of Engineering at the University of Guelph (UoG). My general research interests lies in the intersection of Information Retrieval, Social Media Mining and Semantic technologies.
Before joining UoG, I was Research Scientist at Thomson Reuters Labs and a Postdoctoral Fellow at the Laboratory for Systems, Software and Semantics (LS3) at Toronto Metropolitan University, where I worked on research and industrial projects related to Legal Tech and Semantic-enabled Social Media Analysis.
I am hiring a PhD student to work on Social Information Retrieval. Contact me if you are interested.
Email: fzarrink@uoguelph.ca
Journal Articles
Zamani A.S., Zarrinkalam, F., Noorian, Z., Mehrpour, A., and Etminani, K.: What Users’ Musical Preference on Twitter Reveals about Psychological Disorders. Inf. Process. Manage. 60(3), 103269, 2023.
Keivanloo, Z., Kahani, M., Zarrinkalam, F.: Interpreting Sarcasm on Social Media using Attention-based Neural Network, Knowledge-Based Systems, 258, 109977, 2022.
Zarrinkalam, F., Faralli, S, Piao, G, Bagheri, E.: Extracting, Mining and Predicting Users’ Interests from Social Media, Foundations and Trends® in Information Retrieval 14(5), 445-617, 2020.
Arabzadeh, N., Zarrinkalam, F., Jovanovic, J., Al-Obeidat, F., Bagheri, F.: Neural Embedding-based Specificity Metrics for Pre-Retrieval Query Performance Prediction, Inf. Process. Manage, 2020.
Falavarjani, S.A.M., Zarrinkalam, F., Jovanovic, J., Bagheri, E., Ghorbani, A.: The Reflection of Offline Activities on Users’ Online Social Behavior: An Observational Study. Inf. Process. Manage, 2019.
Zarrinkalam, F., Kahani, M., Bagheri, E.: User Interest Prediction over Future Unobserved Topics on Social Networks. Inf. Retr. Journal 22(1-2), 93–128, 2019.
Zarrinkalam, F., Kahani, M., Bagheri, E.: Mining User Interests over Active Topics on Social Networks. Inf. Process. Manage. 54(2), 339–357, 2018.
Feng, Y., Zarrinkalam, F., Bagheri, E., Fani, H., Al-Obeidat, F.: Entity Linking of Tweets based on Dominant Entity Candidates. Social Netw. Analys. Mining 8(1), 46:1–46:16, 2018.
Vigod, S.N., Bagheri, E., Zarrinkalam, F., Brown, H.K., Mamdani, M., Ray, J.G.: Online Social Network Response to Studies on Antidepressant use in Pregnancy. Journal of Psychosomatic Research 106, 70–72, 2018.
Fani, H., Bagheri, E., Zarrinkalam, F., Zhao, X., Du, W.: Finding Diachronic Like-minded Users. Computational Intelligence 34(1), 124–144, 2018.
Zarrinkalam, F., Kahani, M.: Semcir: A Citation Recommendation System based on a Novel Semantic Distance Measure. Program 47(1), 92–112, 2013.
Conference Papers
Vo, D-T., Zarrinkalam, F., Pham, B., Arabzadeh, N., Salamat, S., and Bagheri, E.: Neural Ad hoc Retrieval Meets Information Extraction, ECIR 2023.
Salamat, S., Arabzadeh, N., Zarrinkalam, F., Zihayat, M., and Bagheri, E.: Learning Query-Space Document Representations for High-Recall Retrieval, ECIR 2023.
Fani, H., Tamannaee, M., Zarrinkalam, F., Samouh, J., Paydar, S. and Bagheri, E.: An Extensible Toolkit of Query Refinement Methods and Gold Standard Dataset Generation, ECIR 2021.
Tamannaee, M., Fani, H., Zarrinkalam, F., Samouh, J., Paydar, S., and Bagheri, E.: ReQue: A Configurable Workflow and Dataset Collection for Query Refinement. In: The 29th ACM International Conference on Information and Knowledge Management, CIKM2020.
Arabzadeh, N., Zarrinkalam, F., Jovanovic, J., and Bagheri, E.: Neural Embedding-based Metrics for Pre-Retrieval Query Performance Prediction. In The 42nd European Conference on IR Research ECIR 2020.
Arabzadeh, N., Zarrinkalam, F., Jovanovic, J. and Bagheri, E.: Geometric Estimation of Specificity within Embedding Spaces. In The 28th ACM International Conference on Information and Knowledge Management, CIKM 2019.
Pourali, A., Zarrinkalam, F., Bagheri, E.: Neural Embedding Features for Point-of-Interest Recommendation. In: IEEE/ACM International Conference on Social Networks Analysis and Mining, ASONAM 2019.
Bahrainian, S.A., Zarrinkalam, F., Mele, I., Crestani, F.: Predicting the Topic of Your Next Query for just-in-time IR. In: Advances in Information Retrieval - 41th European Conference on IR Research, ECIR 2019.
Khodabakhsh, M., Fani, H., Zarrinkalam, F., Bagheri, E.: Predicting Personal Life Events from Streaming Social Content. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018.
Arabzadeh, N., Fani, H., Zarrinkalam, F., Navivala, A., Bagheri, E.: Causal Dependencies for Future Interest Prediction on Twitter. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018.
Pourali, A., Zarrinkalam, F., Bagheri, E.: Point-of-Interest Recommendation Using Heterogeneous Link Prediction. In: Proceedings of the 21th International Conference on Extending Database Technology , EDBT 2018.
Trikha, A.K., Zarrinkalam, F., Bagheri, E.: Topic-Association Mining for User Interest Detection. In: Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018.
Fani, H., Bashari, M., Zarrinkalam, F., Bagheri, E., Al-Obeidat, F.: Stopword Detection for Streaming Content. In: Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018.
Zarrinkalam, F., Fani, H., Bagheri, E., Kahani, M.: Predicting Users' Future Interests on Twitter. In: Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017.
Fani, H., Zarrinkalam, F., Bagheri, E., Du, W.: Time-sensitive Topic-based Communities on Twitter. In: Advances in Artificial Intelligence - 29th Canadian Conference on Artificial Intelligence, CanadianAI 2016.
Zarrinkalam, F., Fani, H., Bagheri, E., Kahani, M.: Inferring Implicit Topical Interests on Twitter. In: Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016.
Zarrinkalam, F., Fani, H., Bagheri, E., Kahani, M., Du, W.: Semantics-enabled User Interest Detection from Twitter. In: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015.
Zarrinkalam, F.: Semantics-enabled User Interest Mining. In: The Semantic Web. Latest Advances and New Domains - 12th European Semantic Web Conference, ESWC 2015.
Feyznia, A., Kahani, M., Zarrinkalam, F.: COLINA: A Method for Ranking SPARQL Query Results through Content and Link Analysis. In: Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, ISWC 2014
Patents
Hui R., Daws A., Bagheri E., Zarrinkalam F., Paydar S., Fani H.: Method and System for Detecting Presence of a Protective Case on a Portable Electronic Device During Drop Impact (2019), US Patent # U S20220005341A1
Fani, H., Zarrinkalam, F., Bagheri, E., Hui, R.: A System and Method for Protection Plans and Warranty Data Analysis (2019). US Patent #62/679,099
Bagheri, E., Fani, H., Zarrinkalam, F.: System and Method for Temporal Identification of Latent User Communities Using Electronic Content (2018). US Patent #20180075147
Nielsen, A.D., Pang, Q., Bagheri, E., Jashki, M.A., Zarrinkalam, F.: System and Method of Analyzing Social Media to Predict the Churn Propensity of an Individual or Community of Customers (2016). US Patent #20160253688A1
Academic Services
Editorial Activity
Special Issue on Special Issue on Healthcare Social Analytics with journal of IEEE Transactions on Network Science and Engineering
Special Issue on Special Issue on Dis/Misinformation Mining from Social Media with journal of Information Processing & Management
Workshop Organization
WWW 2022 Workshop: Mining Actionable Insights from Social Networks (MAISoN 2022)-Special Edition on Mental Health and Social Media
ICWSM 2021 Workshop: Mining Actionable Insights from Social Networks (MAISoN 2021)-Special Edition on Healthcare Social Analytics
CIKM 2020 Workshop: Mining Actionable Insights from Social Networks (MAISoN 2020)-Special Edition on Dis/Misinformation Mining from Social networks
Tutorials
CIKM 2020 Tutorial: User Interest Mining from Social Media
IJCAI 2020 Tutorial: User Interest Mining from Social Media
KDD 2019 Tutorial: Social User Interest Mining: Methods and Applications
SIGIR 2019 Tutorial: Extracting, Mining and Predicting Users’ Interests from Social Networks
Program Committee
SIGIR 2020, SIGIR 2021, SIGIR 2022, SIGIR 2023
ECIR 2019, ECIR 2020, ECIR 2021, ECIR 2022, ECIR 2023
CIKM 2020, CIKM 2021, CIKM 2022
Canadian AI 2021, Canadian AI 2023
SIGKDD 2021
WSDM 2021
WWW 2020
IJCAI 2021