Trey Grainger

Publication Activity (10 Years)

Years Active: 2014-2018
Publications (10 Years): 9

Top Topics

Recommendation Systems

Semantic Models

Hierarchical Data

Statistical Relational Learning

Top Venues

Publications

Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, Hao Peng, William S. York, René Ranzinger, Melody P. Porterfield
Mining massive hierarchical data using a scalable probabilistic graphical model. Inf. Sci. 425 (2018)
Shuo Yang, Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan
Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach. Knowl. Based Syst. 136 (2017)
Mohammed Korayem, Khalifeh AlJadda, Trey Grainger
Macro-optimization of email recommendation response rates harnessing individual activity levels and group affinity trends. CoRR (2016)
Mohammed Korayem, Khalifeh AlJadda, Trey Grainger
Macro-Optimization of email Recommendation Response Rates Harnessing Individual Activity Levels and Group Affinity Trends. ICMLA (2016)
Walid Shalaby, Khalifeh AlJadda, Mohammed Korayem, Trey Grainger
Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding. CoRR (2016)
Trey Grainger, Khalifeh AlJadda, Mohammed Korayem, Andries Smith
The Semantic Knowledge Graph: A Compact, Auto-Generated Model for Real-Time Traversal and Ranking of any Relationship within a Domain. DSAA (2016)
Walid Shalaby, Khalifeh AlJadda, Mohammed Korayem, Trey Grainger
Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding. COMPSAC (2016)
Trey Grainger, Khalifeh AlJadda, Mohammed Korayem, Andries Smith
The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain. CoRR (2016)
Shuo Yang, Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan
Application of Statistical Relational Learning to Hybrid Recommendation Systems. CoRR (2016)
Mohammed Korayem, Camilo Ortiz, Khalifeh AlJadda, Trey Grainger
Query sense disambiguation leveraging large scale user behavioral data. IEEE BigData (2015)
Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, William S. York, René Ranzinger, Melody P. Porterfield
Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model. CoRR (2015)
Khalifeh AlJadda, Mohammed Korayem, Trey Grainger
Improving the quality of semantic relationships extracted from massive user behavioral data. IEEE BigData (2015)
Khalifeh AlJadda, Mohammed Korayem, Trey Grainger, Chris Russell
Crowdsourced query augmentation through semantic discovery of domain-specific jargon. IEEE BigData (2014)
Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Chris Russell, David Bernal, Lamar Payson, Scott Brown, Trey Grainger
Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior. CoRR (2014)
Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, William S. York
PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems. IEEE BigData (2014)
Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, William S. York
PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems. CoRR (2014)