Previously, Twitter search results were only offered according to time, not any form of relevancy.
“We want to make real-time search even more valuable by surfacing the best tweets about a particular topic, by considering recency, but also the interactions on a tweet. This means analyzing the author’s profile, as well as the number times the tweet has been retweeted, favorited, replied, and more. It’s an evolving algorithm that we’ll be iterating on & tuning until practically the end of time.”
The two point I found interesting in that story:
how they compute relevance, by considering many factors (not just popularity)
how they are going to tweak the algorithm… forever.
Franck Debane helps large companies build new ventures with Forward Partners: about a hundred programmes in more than 50 companies since 2012. He wrote Passez en mode startup (Eyrolles, 2021) and organises the Lead Innovation Day.
Short essays by email for people who launch new ventures inside large companies: testing ideas with customers, winning over leadership, using AI without the hype. Plus first invitations to Lead Innovation Day.