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Khalifeh Al Jadda
Khalifeh Al Jadda
Sr. Director of Data Science, The Home Depot
Verified email at uga.edu
Title
Cited by
Cited by
Year
Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach
S Yang, M Korayem, K AlJadda, T Grainger, S Natarajan
Knowledge-Based Systems 136, 37-45, 2017
1022017
Help me find a job: A graph-based approach for job recommendation at scale
W Shalaby, BE AlAila, M Korayem, L Pournajaf, K AlJadda, S Quinn, ...
2017 IEEE international conference on big data (big data), 1544-1553, 2017
532017
A combined representation learning approach for better job and skill recommendation
VS Dave, B Zhang, M Al Hasan, K AlJadda, M Korayem
Proceedings of the 27th ACM International Conference on Information and …, 2018
482018
Solving cold-start problem in large-scale recommendation engines: A deep learning approach
J Yuan, W Shalaby, M Korayem, D Lin, K AlJadda, J Luo
2016 IEEE International Conference on Big Data (Big Data), 1901-1910, 2016
482016
Sentiment/subjectivity analysis survey for languages other than English
M Korayem, K Aljadda, D Crandall
Social network analysis and mining 6 (1), 1-17, 2016
372016
The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain
T Grainger, K AlJadda, M Korayem, A Smith
2016 ieee international conference on data science and advanced analytics …, 2016
252016
Crowdsourced query augmentation through semantic discovery of domain-specific jargon
K AlJadda, M Korayem, T Grainger, C Russell
2014 IEEE International Conference on Big Data (Big Data), 808-815, 2014
252014
Pgmhd: A scalable probabilistic graphical model for massive hierarchical data problems
K AlJadda, M Korayem, C Ortiz, T Grainger, JA Miller, WS York
2014 IEEE International Conference on Big Data (Big Data), 55-60, 2014
232014
From the lab to production: a case study of session-based recommendations in the home-improvement domain
P Kouki, I Fountalis, N Vasiloglou, X Cui, E Liberty, K Al Jadda
Fourteenth ACM conference on recommender systems, 140-149, 2020
192020
Query sense disambiguation leveraging large scale user behavioral data
M Korayem, C Ortiz, K AlJadda, T Grainger
2015 IEEE International Conference on Big Data (Big Data), 1230-1237, 2015
102015
Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior
K AlJadda, M Korayem, C Ortiz, C Russell, D Bernal, L Payson, S Brown, ...
arXiv preprint arXiv:1409.2530, 2014
82014
Interactive job recommendation and application submission tools of employment website entities
K Al Jadda, M Korayem, B Tripp, A Soley, S Proell
US Patent App. 15/594,464, 2018
62018
EUROCarbDB (CCRC): a EUROCarbDB node for storing glycomics standard data
K Al Jadda, MP Porterfield, R Bridger, C Heiss, M Tiemeyer, L Wells, ...
Bioinformatics 31 (2), 242-245, 2015
62015
Entity type recognition using an ensemble of distributional semantic models to enhance query understanding
W Shalaby, K Al Jadda, M Korayem, T Grainger
2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC …, 2016
52016
Mining massive hierarchical data using a scalable probabilistic graphical model
K AlJadda, M Korayem, C Ortiz, T Grainger, JA Miller, KM Rasheed, ...
Information sciences 425, 62-75, 2018
42018
Complementary item recommendations based on multi-modal embeddings
K Al Jadda, U Ahsan, H Qu
US Patent App. 17/011,543, 2021
32021
Complementary Recommendations Using Deep Multi-modal Embeddings For Online Retail
U Ahsan, X Cui, R West, M Guo, K Al Jadda
2020 IEEE International Conference on Big Data (Big Data), 1774-1779, 2020
32020
Long tail query enrichment for semantic job search
L Pournajaf, K Aljadda, M Korayem
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 215-220, 2017
32017
Application of statistical relational learning to hybrid recommendation systems
S Yang, M Korayem, K AlJadda, T Grainger, S Natarajan
arXiv preprint arXiv:1607.01050, 2016
32016
Improving the quality of semantic relationships extracted from massive user behavioral data
K AlJadda, M Korayem, T Grainger
2015 IEEE International Conference on Big Data (Big Data), 2951-2953, 2015
32015
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