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Source channel @githubtrending · Post #15132 · Sep 10

#scala X's Recommendation Algorithm uses machine learning to show you posts and content you are most likely to engage with across its platform, including the "For You" timeline and notifications. It gathers a large pool of posts from people you follow and others you might like, then ranks them by predicting your interest based on your past actions like likes, clicks, and replies. It also filters out unwanted content and mixes in sponsored posts to keep your feed relevant and diverse. This means your feed is personalized to show you the most interesting and safe content, improving your experience on X. https://github.com/twitter/the-algorithm

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Venture Village Wall 🦄

@venturevillagewall · Post #3590 · 12/20/2024, 12:23 PM

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Google's Growth Dilemma Revealed Google faces a challenge with 5.5 billion users searching three times daily, leading to a near 98% penetration of its services. The company's pressure to show growth for investors may have led to risky strategies, including diversifying user journeys to boost commercial queries. A leaked document outlines these changes aimed at enhancing growth beyond organic metrics. Find out more in our podcast: Кухня. 📈 Listen here: Кухня Podcast For the full leaked document: Leaked Document #Google#Search#Users#Growth#Investment#Penetration#CommercialQueries#Tech#Strategy#Marketing#DocumentLeak#Podcast#DigitalMarketing#UserJourney#Innovation#Business#Alphabet#TechCulture#Earnings#MarketTrends