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LinkedIn Now Factors ‘Dwell Time’ Into its Algorithm
LinkedIn is updating the algorithm used to rank content in its feed by factoring in the number of time users spend with each post.
In a blog article, LinkedIn pulls back the curtain on its algorithm and offers a detailed overview of how content is ranked.
When a user logs into LinkedIn there are tens of thousands of “candidate” posts that could show up in their feed.
Those posts go through a first-pass, candidate generation layer.
At this stage, LinkedIn applies a lightweight ranking algorithm to identify the top candidates.
LinkedIn then determines how to rank the top candidates in individual users’ feed based on a number of factors.
Re-sharing a post, for example, will create a downstream effect. That means connections of the user who re-shared the post will also end up seeing it.
Commenting on a post, on the other hand, will create an upstream effect. That means it will be boosted higher in the feeds of users who are connected to the post’s author.
For each candidate post, LinkedIn’s algorithm considers the likelihood of user engagement and the potential upstream and downstream effects.
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