Search Results for author: Cagri Ozcaglar

Found 3 papers, 0 papers with code

Entity Personalized Talent Search Models with Tree Interaction Features

no code implementations25 Feb 2019 Cagri Ozcaglar, Sahin Geyik, Brian Schmitz, Prakhar Sharma, Alex Shelkovnykov, Yiming Ma, Erik Buchanan

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 posting.


Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned

no code implementations18 Sep 2018 Sahin Cem Geyik, Qi Guo, Bo Hu, Cagri Ozcaglar, Ketan Thakkar, Xianren Wu, Krishnaram Kenthapadi

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 seekers to find suitable career opportunities.

Information Retrieval Recommendation Systems +1

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