| ILDA: Interdependent LDA Model for Learning Latent Aspects and their Ratings from Online Product Reviews S Moghaddam, M Ester SIGIR 2011, 2011 | 271 | 2011 |
| Opinion digger: an unsupervised opinion miner from unstructured product reviews S Moghaddam, M Ester Proceedings of the 19th ACM international conference on Information and …, 2010 | 262 | 2010 |
| On the Design of LDA Models for Aspect-based Opinion Mining S Moghaddam, M Ester CIKM 2012, 2012 | 173 | 2012 |
| The FLDA Model for Aspect-based Opinion Mining: Addressing the Cold Start Problem S Moghaddam, M Ester WWW 2013, 2013 | 114 | 2013 |
| ETF: Extended Tensor Factorization model for personalizing prediction of review helpfulness S Moghaddam, M Jamali, M Ester Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 97 | 2012 |
| Aspect-based Opinion Mining from Product Reviews S Moghaddam, M Ester SIGIR 2012, 2012 | 75* | 2012 |
| AQA: aspect-based opinion question answering S Moghaddam, M Ester 2011 IEEE 11th International Conference on Data Mining Workshops, 89-96, 2011 | 63 | 2011 |
| Beyond sentiment analysis: mining defects and improvements from customer feedback S Moghaddam Advances in Information Retrieval: 37th European Conference on IR Research …, 2015 | 60 | 2015 |
| FeedbackTrust: using feedback effects in trust-based recommendation systems S Moghaddam, M Jamali, M Ester, J Habibi Proceedings of the third ACM conference on Recommender systems, 269-272, 2009 | 43 | 2009 |
| Review recommendation: personalized prediction of the quality of online reviews S Moghaddam, M Jamali, M Ester Proceedings of the 20th ACM international conference on Information and …, 2011 | 38 | 2011 |
| Opinion polarity identification through adjectives S Moghaddam, F Popowich arXiv preprint arXiv:1011.4623, 2010 | 38 | 2010 |
| Aspect-based Opinion Mining in Online Reviews S Moghaddam Simon Fraser University, 2013 | 26 | 2013 |
| Fine-grained opinion mining using conditional random fields S Shariaty, S Moghaddam 2011 IEEE 11th international conference on data mining workshops, 109-114, 2011 | 25 | 2011 |
| MINING TEXTUAL FEEDBACK S Moghaddam, M Pennacchiotti, T Normile US Patent 20,160,092,791, 2016 | 19* | 2016 |
| Opinion mining in online reviews: Recent trends S Moghaddam, M Ester Tutorial at WWW2013, 2013 | 14 | 2013 |
| Embedded learning for response prediction M Jamali, H Firooz, S Moghaddam, M Shafiei US Patent App. 15/855,912, 2019 | 11 | 2019 |
| Stacking model for recommendations SA Moghaddam US Patent App. 16/577,129, 2021 | 10 | 2021 |
| PREDICTING A STATUS OF A TRANSACTION S Moghaddam, J Louis, VC Dalal US Patent 20,160,217,513, 2016 | 9 | 2016 |
| Embedded learning for response prediction in content item relevance S Jamali, SA Moghaddam, R Kumar, VP Boda US Patent App. 16/370,886, 2020 | 5 | 2020 |
| Identifying job seekers X Wang, SA Moghaddam, X Zhang US Patent App. 16/569,915, 2021 | 4 | 2021 |
Martin EsterDistinguished Professor of Computer Science, Simon Fraser UniversityBestätigte E-Mail-Adresse bei cs.sfu.ca
