# Twitter Recommendation Algorithm - Twitter Friday Synced: [[2023_11_30]] 6:03 AM Last Highlighted: [[2023_08_24]] Tags: [[Model]] [[Software]] ![rw-book-cover](https://cdn.cms-twdigitalassets.com/content/dam/blog-twitter/engineering/en_us/main-template-assets/Eng_EXPLORE_Pink.png.twimg.768.png) ## Highlights [[2023_08_24]] [View Highlight](https://read.readwise.io/read/01h8kj1rzcv5sr372zrfkzd6mn) > Embedding space approaches aim to answer a more general question about content similarity: *What Tweets and Users are similar to my interests?* > Embeddings work by generating numerical representations of users’ interests and Tweets’ content. We can then calculate the similarity between any two users, Tweets or user-Tweet pairs in this embedding space. Provided we generate accurate embeddings, we can use this similarity as a stand-in for relevance.