Trey Grainger

16 papers B 2C 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2018 J jnl
Mining massive hierarchical data using a scalable probabilistic graphical model.
Inf. Sci.
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
2017 J jnl
Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach.
Knowl. Based Syst.
Shuo Yang, Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan
2016 J jnl
Application of Statistical Relational Learning to Hybrid Recommendation Systems.
CoRR
Shuo Yang, Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan
2016 B conf
Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding.
COMPSAC
Walid Shalaby, Khalifeh AlJadda, Mohammed Korayem, Trey Grainger
2016 J jnl
Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding.
CoRR
Walid Shalaby, Khalifeh AlJadda, Mohammed Korayem, Trey Grainger
2016 C conf
Macro-Optimization of email Recommendation Response Rates Harnessing Individual Activity Levels and Group Affinity Trends.
ICMLA
Mohammed Korayem, Khalifeh AlJadda, Trey Grainger
2016 J jnl
Macro-optimization of email recommendation response rates harnessing individual activity levels and group affinity trends.
CoRR
Mohammed Korayem, Khalifeh AlJadda, Trey Grainger
2016 B conf
The Semantic Knowledge Graph: A Compact, Auto-Generated Model for Real-Time Traversal and Ranking of any Relationship within a Domain.
DSAA
Trey Grainger, Khalifeh AlJadda, Mohammed Korayem, Andries Smith
2016 J jnl
The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain.
CoRR
Trey Grainger, Khalifeh AlJadda, Mohammed Korayem, Andries Smith
2015 — conf
Improving the quality of semantic relationships extracted from massive user behavioral data.
IEEE BigData
Khalifeh AlJadda, Mohammed Korayem, Trey Grainger
2015 J jnl
Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model.
CoRR
Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, Khaled Rasheed, Krys J. Kochut, William S. York, René Ranzinger, Melody P. Porterfield
2015 — conf
Query sense disambiguation leveraging large scale user behavioral data.
IEEE BigData
Mohammed Korayem, Camilo Ortiz, Khalifeh AlJadda, Trey Grainger
2014 J jnl
Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior.
CoRR
Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Chris Russell, David Bernal, Lamar Payson, Scott Brown, Trey Grainger
2014 — conf
Crowdsourced query augmentation through semantic discovery of domain-specific jargon.
IEEE BigData
Khalifeh AlJadda, Mohammed Korayem, Trey Grainger, Chris Russell
2014 J jnl
PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems.
CoRR
Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, William S. York
2014 — conf
PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems.
IEEE BigData
Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller, William S. York