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07/01/2021
Embedding-based Recommender System for Job to Candidate Matching on Scale
The online recruitment matching system has been the core technology and ...
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07/23/2019
Tripartite Vector Representations for Better Job Recommendation
Job recommendation is a crucial part of the online job recruitment busin...
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07/23/2019
Automated Discovery and Classification of Training Videos for Career Progression
Job transitions and upskilling are common actions taken by many industry...
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01/01/2018
Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale
Online job boards are one of the central components of modern recruitmen...
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09/20/2016
Macro-optimization of email recommendation response rates harnessing individual activity levels and group affinity trends
Recommendation emails are among the best ways to re-engage with customer...
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09/02/2016
The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain
This paper describes a new kind of knowledge representation and mining s...
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07/04/2016
Application of Statistical Relational Learning to Hybrid Recommendation Systems
Recommendation systems usually involve exploiting the relations among kn...
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04/04/2016
Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding
We present an ensemble approach for categorizing search query entities i...
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01/01/2016
Sentiment/Subjectivity Analysis Survey for Languages other than English
Subjective and sentiment analysis have gained considerable attention rec...
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12/28/2015
Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model
Probabilistic Graphical Models (PGM) are very useful in the fields of ma...
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12/28/2015
GELATO and SAGE: An Integrated Framework for MS Annotation
Several algorithms and tools have been developed to (semi) automate the ...
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07/21/2014