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One key challenge in talent search is how to translate complex criteria of ahiring position into a search query. This typically requires deep knowledge onwhich skills are typically needed for the position, what are theiralternatives, which companies are likely to have such candidates, etc. However,listing examples of suitable candidates for a given position is a relativelyeasy job. Therefore, in order to help searchers overcome this challenge, wedesign a next generation of talent search paradigm at LinkedIn: Search by IdealCandidates. This new system only needs the searcher to input one or severalexamples of suitable candidates for the position. The system will generate aquery based on the input candidates and then retrieve and rank results based onthe query as well as the input candidates. The query is also shown to thesearcher to make the system transparent and to allow the searcher to interactwith it. As the searcher modifies the initial query and makes it deviate fromthe ideal candidates, the search ranking function dynamically adjusts anrefreshes the ranking results balancing between the roles of query and idealcandidates. As of writing this paper, the new system is being launched to ourcustomers.

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