From Query-By-Keyword to Query-By-Example: LinkedIn Talent Search Approach

no code implementations • 3 Sep 2017 • Viet Ha-Thuc, Yan Yan, Xianren Wu, Vijay Dialani, Abhishek Gupta, Shakti Sinha

One key challenge in talent search is to translate complex criteria of a hiring position into a search query, while it is relatively easy for a searcher to list examples of suitable candidates for a given position.

Position

Learning to Rank Personalized Search Results in Professional Networks

no code implementations • 16 May 2016 • Viet Ha-Thuc, Shakti Sinha

LinkedIn search is deeply personalized - for the same queries, different searchers expect completely different results.

Learning-To-Rank

Search by Ideal Candidates: Next Generation of Talent Search at LinkedIn

no code implementations • 26 Feb 2016 • Viet Ha-Thuc, Ye Xu, Satya Pradeep Kanduri, Xianren Wu, Vijay Dialani, Yan Yan, Abhishek Gupta, Shakti Sinha

This new system only needs the searcher to input one or several examples of suitable candidates for the position.

Position

Personalized Federated Search at LinkedIn

no code implementations • 16 Feb 2016 • Dhruv Arya, Viet Ha-Thuc, Shakti Sinha

As of writing this paper, the approach powers all of federated search on LinkedIn homepage.

Personalized Expertise Search at LinkedIn

no code implementations • 15 Feb 2016 • Viet Ha-Thuc, Ganesh Venkataraman, Mario Rodriguez, Shakti Sinha, Senthil Sundaram, Lin Guo

As of writing this paper, these models serve nearly all live traffic for skills search on LinkedIn homepage as well as LinkedIn recruiter.

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