"Plus, you also have to think about what kinds of words you might want to use to get the best out of the search system. "With lexical search, you have to know the exact title of the person, or you need to wrestle with filters to find the right person, maybe. And if you didn't know the right combination, the right person remained undiscovered."
"Earlier this year, the company released a job search tool for members in the U.S., allowing them to search for jobs using natural language queries. Now, the company is extending the feature to people search. Users can use queries like "Find me investors in the healthcare sector with FDA experience," people who "co-founded a productivity company and are based in NYC," or "Who in my network can help me understand wireless networks.""
LinkedIn expanded AI across multiple platform features and is now integrating AI into its people search. Natural-language queries allow members to search for people by detailed criteria rather than exact job titles or numerous filters. The feature supports queries such as finding investors with specific industry and regulatory experience, locating co-founders in a city, or identifying network contacts with technical knowledge. Lexical search required exact titles or manual filter combinations, which often left relevant people undiscovered. Early testing shows the feature helps with job opportunities, business expansion, and career development amid broader industry moves to add AI to search.
Read at TechCrunch
Unable to calculate read time
Collection
[
|
...
]