| Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach S Yang, M Korayem, K AlJadda, T Grainger, S Natarajan Knowledge-Based Systems 136, 37-45, 2017 | 102 | 2017 |
| Help me find a job: A graph-based approach for job recommendation at scale W Shalaby, BE AlAila, M Korayem, L Pournajaf, K AlJadda, S Quinn, ... 2017 IEEE international conference on big data (big data), 1544-1553, 2017 | 53 | 2017 |
| A combined representation learning approach for better job and skill recommendation VS Dave, B Zhang, M Al Hasan, K AlJadda, M Korayem Proceedings of the 27th ACM International Conference on Information and …, 2018 | 48 | 2018 |
| Solving cold-start problem in large-scale recommendation engines: A deep learning approach J Yuan, W Shalaby, M Korayem, D Lin, K AlJadda, J Luo 2016 IEEE International Conference on Big Data (Big Data), 1901-1910, 2016 | 48 | 2016 |
| Sentiment/subjectivity analysis survey for languages other than English M Korayem, K Aljadda, D Crandall Social network analysis and mining 6 (1), 1-17, 2016 | 37 | 2016 |
| The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain T Grainger, K AlJadda, M Korayem, A Smith 2016 ieee international conference on data science and advanced analytics …, 2016 | 25 | 2016 |
| Crowdsourced query augmentation through semantic discovery of domain-specific jargon K AlJadda, M Korayem, T Grainger, C Russell 2014 IEEE International Conference on Big Data (Big Data), 808-815, 2014 | 25 | 2014 |
| Pgmhd: A scalable probabilistic graphical model for massive hierarchical data problems K AlJadda, M Korayem, C Ortiz, T Grainger, JA Miller, WS York 2014 IEEE International Conference on Big Data (Big Data), 55-60, 2014 | 23 | 2014 |
| From the lab to production: a case study of session-based recommendations in the home-improvement domain P Kouki, I Fountalis, N Vasiloglou, X Cui, E Liberty, K Al Jadda Fourteenth ACM conference on recommender systems, 140-149, 2020 | 19 | 2020 |
| Query sense disambiguation leveraging large scale user behavioral data M Korayem, C Ortiz, K AlJadda, T Grainger 2015 IEEE International Conference on Big Data (Big Data), 1230-1237, 2015 | 10 | 2015 |
| Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior K AlJadda, M Korayem, C Ortiz, C Russell, D Bernal, L Payson, S Brown, ... arXiv preprint arXiv:1409.2530, 2014 | 8 | 2014 |
| Interactive job recommendation and application submission tools of employment website entities K Al Jadda, M Korayem, B Tripp, A Soley, S Proell US Patent App. 15/594,464, 2018 | 6 | 2018 |
| EUROCarbDB (CCRC): a EUROCarbDB node for storing glycomics standard data K Al Jadda, MP Porterfield, R Bridger, C Heiss, M Tiemeyer, L Wells, ... Bioinformatics 31 (2), 242-245, 2015 | 6 | 2015 |
| Entity type recognition using an ensemble of distributional semantic models to enhance query understanding W Shalaby, K Al Jadda, M Korayem, T Grainger 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC …, 2016 | 5 | 2016 |
| Mining massive hierarchical data using a scalable probabilistic graphical model K AlJadda, M Korayem, C Ortiz, T Grainger, JA Miller, KM Rasheed, ... Information sciences 425, 62-75, 2018 | 4 | 2018 |
| Complementary item recommendations based on multi-modal embeddings K Al Jadda, U Ahsan, H Qu US Patent App. 17/011,543, 2021 | 3 | 2021 |
| Complementary Recommendations Using Deep Multi-modal Embeddings For Online Retail U Ahsan, X Cui, R West, M Guo, K Al Jadda 2020 IEEE International Conference on Big Data (Big Data), 1774-1779, 2020 | 3 | 2020 |
| Long tail query enrichment for semantic job search L Pournajaf, K Aljadda, M Korayem 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 215-220, 2017 | 3 | 2017 |
| Application of statistical relational learning to hybrid recommendation systems S Yang, M Korayem, K AlJadda, T Grainger, S Natarajan arXiv preprint arXiv:1607.01050, 2016 | 3 | 2016 |
| Improving the quality of semantic relationships extracted from massive user behavioral data K AlJadda, M Korayem, T Grainger 2015 IEEE International Conference on Big Data (Big Data), 2951-2953, 2015 | 3 | 2015 |
Mohammed KorayemData Scientist, Data Science R&D - CareerBuilderVerified email at indiana.edu
