Mohammed Korayem

According to our database1, Mohammed Korayem authored at least 42 papers between 2010 and 2022.

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Bibliography

2022
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond.
SIGKDD Explor., 2022

Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2nd Workshop on Online and Adaptive Recommender Systems (OARS).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Embedding-based Recommender System for Job to Candidate Matching on Scale.
CoRR, 2021

2020
Blockchain-Based Certification for Education, Employment, and Skill with Incentive Mechanism.
Proceedings of the Blockchain Cybersecurity, Trust and Privacy, 2020

2019
Automated Discovery and Classification of Training Videos for Career Progression.
CoRR, 2019

Tripartite Vector Representations for Better Job Recommendation.
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), 2019

AIResume: Automated Generation of Resume Work History.
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, 2019

DeepCarotene -Job Title Classification with Multi-stream Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Mining massive hierarchical data using a scalable probabilistic graphical model.
Inf. Sci., 2018

A Combined Representation Learning Approach for Better Job and Skill Recommendation.
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.
Knowl. Based Syst., 2017

Long Tail Query Enrichment for Semantic Job Search.
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.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Sentiment/subjectivity analysis survey for languages other than English.
Soc. Netw. Anal. Min., 2016

Application of Statistical Relational Learning to Hybrid Recommendation Systems.
CoRR, 2016

Sentiment/Subjectivity Analysis Survey for Languages other than English.
CoRR, 2016

Tracking Natural Events through Social Media and Computer Vision.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Macro-Optimization of email Recommendation Response Rates Harnessing Individual Activity Levels and Group Affinity Trends.
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.
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.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

Enhancing Lifelogging Privacy by Detecting Screens.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Solving cold-start problem in large-scale recommendation engines: A deep learning approach.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
GELATO and SAGE: An Integrated Framework for MS Annotation.
CoRR, 2015

Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model.
CoRR, 2015

Query sense disambiguation leveraging large scale user behavioral data.
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.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
ScreenAvoider: Protecting Computer Screens from Ubiquitous Cameras.
CoRR, 2014

Augmenting recommendation systems using a model of semantically-related terms extracted from user behavior.
CoRR, 2014

PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces.
Proceedings of the 21st Annual Network and Distributed System Security Symposium, 2014

PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Crowdsourced query augmentation through semantic discovery of domain-specific jargon.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
De-Anonymizing Users Across Heterogeneous Social Computing Platforms.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Observing the Natural World with Flickr.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

2012
Mining photo-sharing websites to study ecological phenomena.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Learning Visual Features for the Avatar Captcha Recognition Challenge.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Solving Avatar Captchas Automatically.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2012

Subjectivity and Sentiment Analysis of Arabic: A Survey.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2012

2011
"Yes we can?": Subjectivity Annotation and Tagging for the Health Domain.
Proceedings of the Recent Advances in Natural Language Processing, 2011

Subjectivity and Sentiment Analysis of Modern Standard Arabic.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Biclustering of DNA microarray data using artificial immune system.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010


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