| Mining user interests over active topics on social networks F Zarrinkalam, M Kahani, E Bagheri Information Processing & Management 54 (2), 339-357, 2018 | 108 | 2018 |
| SemCiR: A citation recommendation system based on a novel semantic distance measure F Zarrinkalam, M Kahani Program 47 (1), 92-112, 2013 | 55 | 2013 |
| Semantics-enabled user interest detection from twitter F Zarrinkalam, H Fani, E Bagheri, M Kahani, W Du 2015 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2015 | 49 | 2015 |
| System and method of analyzing social media to predict the churn propensity of an individual or community of customers AD Nielsen, Q Pang, E Bagheri, MA Jashki, F Zarrinkalam US Patent App. 15/052,831, 2016 | 48 | 2016 |
| A multi-criteria hybrid citation recommendation system based on linked data F Zarrinkalam, M Kahani 2012 2nd International eConference on Computer and Knowledge Engineering …, 2012 | 41 | 2012 |
| Inferring implicit topical interests on twitter F Zarrinkalam, H Fani, E Bagheri, M Kahani Advances in Information Retrieval: 38th European Conference on IR Research …, 2016 | 32 | 2016 |
| Neural embedding-based specificity metrics for pre-retrieval query performance prediction N Arabzadeh, F Zarrinkalam, J Jovanovic, F Al-Obeidat, E Bagheri Information Processing & Management 57 (4), 102248, 2020 | 29 | 2020 |
| The reflection of offline activities on users’ online social behavior: An observational study SAM Falavarjani, F Zarrinkalam, J Jovanovic, E Bagheri, AA Ghorbani Information Processing & Management 56 (6), 102070, 2019 | 25 | 2019 |
| Event identification in social networks F Zarrinkalam, E Bagheri Encyclopedia with Semantic Computing and Robotic Intelligence 1 (01), 1630002, 2017 | 25 | 2017 |
| System and method for temporal identification of latent user communities using electronic content E Bagheri, H Fani, F Zarrinkalam US Patent 10,885,131, 2021 | 22 | 2021 |
| User interest prediction over future unobserved topics on social networks F Zarrinkalam, M Kahani, E Bagheri Information Retrieval Journal 22, 93-128, 2019 | 21 | 2019 |
| Topic-association mining for user interest detection AK Trikha, F Zarrinkalam, E Bagheri Advances in Information Retrieval: 40th European Conference on IR Research …, 2018 | 20 | 2018 |
| Neural embedding-based metrics for pre-retrieval query performance prediction N Arabzadeh, F Zarrinkalam, J Jovanovic, E Bagheri Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020 | 19 | 2020 |
| A new metric for measuring relatedness of scientificpapers based on non-textual features F Zarrinkalam, M Kahani Scientific Research Publishing, 2012 | 19 | 2012 |
| Predicting users’ future interests on Twitter F Zarrinkalam, H Fani, E Bagheri, M Kahani Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 18 | 2017 |
| Time-sensitive topic-based communities on twitter H Fani, F Zarrinkalam, E Bagheri, W Du Advances in Artificial Intelligence: 29th Canadian Conference on Artificial …, 2016 | 18 | 2016 |
| Entity linking of tweets based on dominant entity candidates Y Feng, F Zarrinkalam, E Bagheri, H Fani, F Al-Obeidat Social Network Analysis and Mining 8, 1-16, 2018 | 14 | 2018 |
| Extracting, mining and predicting users’ interests from social media F Zarrinkalam, S Faralli, G Piao, E Bagheri Foundations and Trends® in Information Retrieval 14 (5), 445-617, 2020 | 13 | 2020 |
| Finding Diachronic Like‐Minded Users H Fani, E Bagheri, F Zarrinkalam, X Zhao, W Du Computational Intelligence 34 (1), 124-144, 2018 | 13 | 2018 |
| Geometric estimation of specificity within embedding spaces N Arabzadeh, F Zarrinkalam, J Jovanovic, E Bagheri Proceedings of the 28th ACM International Conference on Information and …, 2019 | 12 | 2019 |
Ebrahim BagheriToronto Metropolitan University (Ryerson University)Verified email at ryerson.ca