Publications dblp, Google Scholar

Journal Articles

• Nguyen, H., Rad R.H., Al-Obeidat F., Bagheri, E., Kargar, M., Srivastava, D., Szlichta, J., Zarrinkalam, F. Learning Heterogeneous Subgraph Representations for Team Discovery. Inf. Retr. Journal, 2023.

• Nguyen, H., Rad, R.H, Zarrinkalam, F., Bagheri, E.: DyHNet: Learning Dynamic Heterogeneous Network Representations. Information Sciences, 646, 119371, 2023.

• 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