Twitter’s Recommendation Algorithm — Explained!
Let’s do a brief non-technical breakdown! —  Twitter has open-sourced one of its most prized possessions — the recommendation algorithm! Every day, Twitter serves over 150 billion Tweets to people’s devices. Every day, people post over 500 million Tweets. The recommendation algorithm shows you only a handful of top tweets that are relevant and engaging for you. So how does the algorithm select Tweets that end up on your For You timeline?
Twitter’s Recommendation Algorithm — Explained! Let’s do a brief non-technical breakdown! —  Twitter has open-sourced one of its most prized possessions — the recommendation algorithm! Every day, Twitter serves over 150 billion Tweets to people’s devices. Every day, people post over 500 million Tweets. The recommendation algorithm shows you only a handful of top tweets that are relevant and engaging for you. So how does the algorithm select Tweets that end up on your For You timeline? machine-learning
Twitter’s Recommendation Algorithm — Explained Let’s brief nontechnical breakdown — Twitter opensourced one prized possession — recommendation algorithm Every day Twitter serf 150 billion Tweets people’s device Every day people post 500 million Tweets recommendation algorithm show handful top tweet relevant engaging algorithm select Tweets end timeline machinelearning