Hierarchical Job Classification with Similarity Graph Integration - Md. Ahsanul Kabir; Kareem Abdelfatah; Mohammed Korayem; Mohammad Al Hasan (CoRR, 2025)

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs - Md. Ahsanul Kabir; Kareem Abdelfatah; Shushan He; Mohammed Korayem; Mohammad Al Hasan (IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024, 2024)

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs - Md. Ahsanul Kabir; Kareem Abdelfatah; Shushan He; Mohammed Korayem; Mohammad Al Hasan (CoRR, 2024)

KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond - Zhiwei (Tony) Qin; Liangjie Hong; Rui Song; Hongtu Zhu; Mohammed Korayem; Haiyan Luo; Michael I. Jordan (SIGKDD Explor., 2022)

2nd Workshop on Online and Adaptive Recommender Systems (OARS) - Xiquan Cui; Vachik S. Dave; Yi Su; Khalifeh Al Jadda; Srijan Kumar; Julian J. McAuley; Tao Ye; Kamelia Aryafar; Mohammed Korayem (KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022, 2022)

Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond - Zhiwei (Tony) Qin; Liangjie Hong; Rui Song; Hongtu Zhu; Mohammed Korayem; Haiyan Luo; Michael I. Jordan (KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022, 2022)

Embedding-based Recommender System for Job to Candidate Matching on Scale - Jing Zhao; Jingya Wang; Madhav Sigdel; Bopeng Zhang; Phuong Hoang; Mengshu Liu; Mohammed Korayem (CoRR, 2021)

Blockchain-Based Certification for Education, Employment, and Skill with Incentive Mechanism - Liyuan Liu; Meng Han; Yiyun Zhou; Reza M. Parizi; Mohammed Korayem (Blockchain Cybersecurity, Trust and Privacy, 2020)

DeepCarotene -Job Title Classification with Multi-stream Convolutional Neural Network - Jingya Wang; Kareem Abdelfatah; Mohammed Korayem; Janani Balaji (2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019, 2019)

AIResume: Automated Generation of Resume Work History - Janani Balaji; Madhav Sigdel; Phuong Hoang; Mengshu Liu; Mohammed Korayem (Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, co-located with 28th ACM International Conference on Information and Knowledge Management, KaRS@CIKM 2019, Beijing, China, November 7, 2019, 2019)

Tripartite Vector Representations for Better Job Recommendation - Mengshu Liu; Jingya Wang; Kareem Abdelfatah; Mohammed Korayem (Proceedings of the 1st International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019), Anchorage, Alaska, August 5, 2019, 2019)

Automated Discovery and Classification of Training Videos for Career Progression - Alan Chern; Phuong Hoang; Madhav Sigdel; Janani Balaji; Mohammed Korayem (CoRR, 2019)

Tripartite Vector Representations for Better Job Recommendation - Mengshu Liu; Jingya Wang; Kareem Abdelfatah; Mohammed Korayem (CoRR, 2019)

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, CIKM 2018, Torino, Italy, October 22-26, 2018, 2018)

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 (CoRR, 2018)

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)

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 (2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, December 11-14, 2017, 2017)

Long Tail Query Enrichment for Semantic Job Search - Layla Pournajaf; Khalifeh AlJadda; Mohammed Korayem (2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017, 2017)

Sentiment/subjectivity analysis survey for languages other than English - Mohammed Korayem; Khalifeh AlJadda; David J. Crandall (Soc. Netw. Anal. Min., 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 (2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016, 2016)

Enhancing Lifelogging Privacy by Detecting Screens - Mohammed Korayem; Robert Templeman; Dennis Chen; David J. Crandall; Apu Kapadia (Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, CA, USA, May 7-12, 2016, 2016)

Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding - Walid Shalaby; Khalifeh AlJadda; Mohammed Korayem; Trey Grainger (40th IEEE Annual Computer Software and Applications Conference, COMPSAC 2016, Atlanta, GA, USA, June 10-14, 2016, 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 (2016 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2016, Montreal, QC, Canada, October 17-19, 2016, 2016)

Macro-Optimization of email Recommendation Response Rates Harnessing Individual Activity Levels and Group Affinity Trends - Mohammed Korayem; Khalifeh AlJadda; Trey Grainger (15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, Anaheim, CA, USA, December 18-20, 2016, 2016)

Tracking Natural Events through Social Media and Computer Vision - Jingya Wang; Mohammed Korayem; Saúl A. Blanco; David J. Crandall (Proceedings of the 2016 ACM Conference on Multimedia Conference, MM 2016, Amsterdam, The Netherlands, October 15-19, 2016, 2016)

Sentiment/Subjectivity Analysis Survey for Languages other than English - Mohammed Korayem (CoRR, 2016)

Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding - Walid Shalaby; Khalifeh AlJadda; Mohammed Korayem; Trey Grainger (CoRR, 2016)

Application of Statistical Relational Learning to Hybrid Recommendation Systems - Shuo Yang; Mohammed Korayem; Khalifeh AlJadda; Trey Grainger; Sriraam Natarajan (CoRR, 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 (CoRR, 2016)

Macro-optimization of email recommendation response rates harnessing individual activity levels and group affinity trends - Mohammed Korayem; Khalifeh AlJadda; Trey Grainger (CoRR, 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 (CoRR, 2016)

Query sense disambiguation leveraging large scale user behavioral data - Mohammed Korayem; Camilo Ortiz; Khalifeh AlJadda; Trey Grainger (2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29 - November 1, 2015, 2015)

Improving the quality of semantic relationships extracted from massive user behavioral data - Khalifeh AlJadda; Mohammed Korayem; Trey Grainger (2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29 - November 1, 2015, 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)

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 (2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington, DC, USA, October 27-30, 2014, 2014)

Crowdsourced query augmentation through semantic discovery of domain-specific jargon - Khalifeh AlJadda; Mohammed Korayem; Trey Grainger; Chris Russell (2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington, DC, USA, October 27-30, 2014, 2014)

PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces - Robert Templeman; Mohammed Korayem; David J. Crandall; Apu Kapadia (21st Annual Network and Distributed System Security Symposium, NDSS 2014, San Diego, California, USA, February 23-26, 2014, 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 (CoRR, 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)

ScreenAvoider: Protecting Computer Screens from Ubiquitous Cameras - Mohammed Korayem; Robert Templeman; Dennis Chen; David J. Crandall; Apu Kapadia (CoRR, 2014)

Observing the Natural World with Flickr - Jingya Wang; Mohammed Korayem; David J. Crandall (2013 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2013, Sydney, Australia, December 1-8, 2013, 2013)

De-Anonymizing Users Across Heterogeneous Social Computing Platforms - Mohammed Korayem; David J. Crandall (Proceedings of the Seventh International Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, July 8-11, 2013, 2013)

Solving Avatar Captchas Automatically - Mohammed Korayem; Abdallah A. Mohamed; David J. Crandall; Roman V. Yampolskiy (Advanced Machine Learning Technologies and Applications - First International Conference, AMLTA 2012, Cairo, Egypt, December 8-10, 2012. Proceedings, 2012)

Subjectivity and Sentiment Analysis of Arabic: A Survey - Mohammed Korayem; David J. Crandall; Muhammad Abdul-Mageed (Advanced Machine Learning Technologies and Applications - First International Conference, AMLTA 2012, Cairo, Egypt, December 8-10, 2012. Proceedings, 2012)

Learning Visual Features for the Avatar Captcha Recognition Challenge - Mohammed Korayem; Abdallah A. Mohamed; David J. Crandall; Roman V. Yampolskiy (11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 2, 2012)

Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities - Haipeng Zhang; Mohammed Korayem; Erkang You; David J. Crandall (Proceedings of the Fifth International Conference on Web Search and Web Data Mining, WSDM 2012, Seattle, WA, USA, February 8-12, 2012, 2012)

Mining photo-sharing websites to study ecological phenomena - Haipeng Zhang; Mohammed Korayem; David J. Crandall; Gretchen LeBuhn (Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012, 2012)

Subjectivity and Sentiment Analysis of Modern Standard Arabic - Muhammad Abdul-Mageed; Mona T. Diab; Mohammed Korayem (The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA - Short Papers, 2011)

"Yes we can?": Subjectivity Annotation and Tagging for the Health Domain - Muhammad Abdul-Mageed; Mohammed Korayem; Ahmed YoussefAgha (Recent Advances in Natural Language Processing, RANLP 2011, 12-14 September, 2011, Hissar, Bulgaria, 2011)

Biclustering of DNA microarray data using artificial immune system - Waleed Abo-Hamad; Mohammed Korayem; Khaled Moustafa (10th International Conference on Intelligent Systems Design and Applications, ISDA 2010, November 29 - December 1, 2010, Cairo, Egypt, 2010)