Crowdsourced query augmentation through semantic discovery of domain-specific jargon. - Khalifeh AlJadda; Mohammed Korayem; Trey Grainger; Chris Russell 003 (IEEE BigData, 2014)

PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems. - Khalifeh AlJadda; Mohammed Korayem; Camilo Ortiz; Trey Grainger; John A. Miller 001; William S. York (IEEE BigData, 2014)

Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior. - Khalifeh AlJadda; Mohammed Korayem; Camilo Ortiz; Chris Russell 003; David Bernal; Lamar Payson; Scott Brown; Trey Grainger (CoRR, 2014)

Improving the quality of semantic relationships extracted from massive user behavioral data. - Khalifeh AlJadda; Mohammed Korayem; Trey Grainger (IEEE BigData, 2015)

Query sense disambiguation leveraging large scale user behavioral data. - Mohammed Korayem; Camilo Ortiz; Khalifeh AlJadda; Trey Grainger (IEEE BigData, 2015)

Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model. - Khalifeh AlJadda; Mohammed Korayem; Camilo Ortiz; Trey Grainger; John A. Miller 001; Khaled Rasheed; Krys J. Kochut; William S. York; René Ranzinger; Melody P. Porterfield (CoRR, 2015)

Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding. - Walid Shalaby; Khalifeh AlJadda; Mohammed Korayem; Trey Grainger (COMPSAC, 2016)

The Semantic Knowledge Graph: A Compact, Auto-Generated Model for Real-Time Traversal and Ranking of any Relationship within a Domain. - Trey Grainger; Khalifeh AlJadda; Mohammed Korayem; Andries Smith (DSAA, 2016)

Macro-Optimization of email Recommendation Response Rates Harnessing Individual Activity Levels and Group Affinity Trends. - Mohammed Korayem; Khalifeh AlJadda; Trey Grainger (ICMLA, 2016)

Application of Statistical Relational Learning to Hybrid Recommendation Systems. - Shuo Yang 004; Mohammed Korayem; Khalifeh AlJadda; Trey Grainger; Sriraam Natarajan (CoRR, 2016)

Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach. - Shuo Yang 004; Mohammed Korayem; Khalifeh AlJadda; Trey Grainger; Sriraam Natarajan (Knowl. Based Syst., 2017)

Mining massive hierarchical data using a scalable probabilistic graphical model. - Khalifeh AlJadda; Mohammed Korayem; Camilo Ortiz; Trey Grainger; John A. Miller 001; Khaled Rasheed; Krys J. Kochut; Hao Peng 007; William S. York; René Ranzinger; Melody P. Porterfield (Inf. Sci., 2018)