18 citations · 24 across the 3 of their papers we have counts for
5 papers
Embedding-based Recommender System for Job to Candidate Matching on Scale
Jing Zhao, Jingya Wang, Madhav Sigdel +4
The online recruitment matching system has been the core technology and service platform in CareerBuilder. One of the major challenges in an online recruitment scenario is to provi…
Tripartite Vector Representations for Better Job Recommendation
Mengshu Liu, Jingya Wang, Kareem Abdelfatah +1
Job recommendation is a crucial part of the online job recruitment business. To match the right person with the right job, a good representation of job postings is required. Such r…
Automated Discovery and Classification of Training Videos for Career Progression
Alan Chern, Phuong Hoang, Madhav Sigdel +2
Job transitions and upskilling are common actions taken by many industry working professionals throughout their career. With the current rapidly changing job landscape where requir…
Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale
Walid Shalaby, BahaaEddin AlAila, Mohammed Korayem +4
Online job boards are one of the central components of modern recruitment industry. With millions of candidates browsing through job postings everyday, the need for accurate, effec…
Application of Statistical Relational Learning to Hybrid Recommendation Systems
Shuo Yang, Mohammed Korayem, Khalifeh AlJadda +2
Recommendation systems usually involve exploiting the relations among known features and content that describe items (content-based filtering) or the overlap of similar users who i…