Khalifeh AlJadda

According to our database, Khalifeh AlJadda authored at least 19 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

A Combined Representation Learning Approach for Better Job and Skill Recommendation.

Vachik S. Dave, Baichuan Zhang, Mohammad Al Hasan, Khalifeh AlJadda, Mohammed Korayem

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 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

Long Tail Query Enrichment for Semantic Job Search.

Layla Pournajaf, Khalifeh AlJadda, Mohammed Korayem

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Help me find a job: A graph-based approach for job recommendation at scale.

Walid Shalaby, BahaaEddin AlAila, Mohammed Korayem, Layla Pournajaf, Khalifeh AlJadda, Shannon Quinn, Wlodek Zadrozny

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Sentiment/subjectivity analysis survey for languages other than English.

Mohammed Korayem, Khalifeh AlJadda, David J. Crandall

Soc. Netw. Anal. Min., 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

Solving cold-start problem in large-scale recommendation engines: A deep learning approach.

Jianbo Yuan, Walid Shalaby, Mohammed Korayem, David Lin, Khalifeh AlJadda, Jiebo Luo

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

GELATO and SAGE: An Integrated Framework for MS Annotation.

Khalifeh AlJadda, René Ranzinger, Melody P. Porterfield, Brent Weatherly, Mohammed Korayem, John A. Miller, Khaled Rasheed, Krys J. Kochut, William S. York

CoRR, 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

EUROCarbDB(CCRC): a EUROCarbDB node for storing glycomics standard data.

Khalifeh AlJadda, Melody P. Porterfield, Robert Bridger, Christian Heiss, Michael Tiemeyer, Lance Wells, John A. Miller, William S. York, René Ranzinger

Bioinform., 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