Making Creator Headlines · Page 9
LinkedIn Finds New People to Put in Meetings With Your Feed
· New York time
LinkedIn says its improved content recommendation system uses a Profile Relevance model and language-model-generated embeddings to show users more relevant posts from people they do not follow. The change aims to broaden what appears in a user's feed beyond existing connections. For people who publish on the platform, recommendations can bring work to readers outside their immediate network. For readers, the benefit depends on whether the new posts actually match their interests rather than merely expanding the supply of professional enthusiasm. The system also highlights a familiar tradeoff in algorithmic feeds. Discovery can introduce useful perspectives, but more recommendations mean the platform is making more choices about what deserves attention. The professional network is offering to make introductions, whether or not anyone asked for another networking event.
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