Trey Grainger

According to our database, Trey Grainger authored at least 12 papers between 2014 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2018

Mining massive hierarchical data using a scalable probabilistic graphical model.

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

Inf. Sci., 2018

2017

Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach.

Shuo Yang, Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan

Knowl. Based Syst., 2017

2016

Application of Statistical Relational Learning to Hybrid Recommendation Systems.

Shuo Yang, Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan

CoRR, 2016

Macro-Optimization of email Recommendation Response Rates Harnessing Individual Activity Levels and Group Affinity Trends.

Mohammed Korayem, Khalifeh AlJadda, Trey Grainger

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 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

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding.

Walid Shalaby, Khalifeh AlJadda, Mohammed Korayem, Trey Grainger

Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

2015

Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model.

Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, William S. York, René Ranzinger, Melody P. Porterfield

CoRR, 2015

Query sense disambiguation leveraging large scale user behavioral data.

Mohammed Korayem, Camilo Ortiz, Khalifeh AlJadda, Trey Grainger

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Improving the quality of semantic relationships extracted from massive user behavioral data.

Khalifeh AlJadda, Mohammed Korayem, Trey Grainger

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior.

Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Chris Russell, David Bernal, Lamar Payson, Scott Brown, Trey Grainger

CoRR, 2014

PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems.

Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, William S. York

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Crowdsourced query augmentation through semantic discovery of domain-specific jargon.

Khalifeh AlJadda, Mohammed Korayem, Trey Grainger, Chris Russell

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014