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S. Geyik

11 papers hereh-index 161.8k citations40 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author4
  • last author1

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.AI7
  • cs.IR2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20152020
most citedFairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search

352 citations · 708 across the 11 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.AI2018

In-Session Personalization for Talent Search

Sahin Cem Geyik, Vijay Dialani, Meng Meng +1

Previous efforts in recommendation of candidates for talent search followed the general pattern of receiving an initial search criteria and generating a set of candidates utilizing…

cs.AI2018★ 1 cited

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…

cs.LG2018

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.