17 citations · 19 across the 4 of their papers we have counts for
4 papers
Entity Personalized Talent Search Models with Tree Interaction Features
Cagri Ozcaglar, Sahin Geyik, Brian Schmitz +4
Talent Search systems aim to recommend potential candidates who are a good match to the hiring needs of a recruiter expressed in terms of the recruiter's search query or job postin…
Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned
Sahin Cem Geyik, Qi Guo, Bo Hu +4
LinkedIn Talent Solutions business contributes to around 65% of LinkedIn's annual revenue, and provides tools for job providers to reach out to potential candidates and for job see…
Towards Deep and Representation Learning for Talent Search at LinkedIn
Rohan Ramanath, Hakan Inan, Gungor Polatkan +6
Talent search and recommendation systems at LinkedIn strive to match the potential candidates to the hiring needs of a recruiter or a hiring manager expressed in terms of a search…
Crossing Minimization within Graph Embeddings
Amina Shabbeer, Cagri Ozcaglar, Kristin P. Bennett
We propose a novel optimization-based approach to embedding heterogeneous high-dimensional data characterized by a graph. The goal is to create a two-dimensional visualization of t…