Now based on the data users can see up to friends' posts. Recall that in recent months there has been a focus on maintaining connections between friends and family within social networks. The main factor in the ranking algorithm uses machine learning to networks to create a personalized feed for each user. Even if two people follow the same list of accounts their news feeds will differ based on interactions.
With those accounts. Next let's take a closer look at what affects how it last database works. Interest predicts whether you will be interested in a post based on your previous activity with similar content. The similarity of publications is also determined using machine vision. Associations prioritize recent publications. Relationship determines how close you are to the author of the post. Comments under his photos and tags on joint photos will be taken into account. Factors Affecting.
Ranking The three additional ranking factors represent three additional factors that are also determined to influence the display of posts in the feed. Frequency How often you visit The algorithm tries to show you the best posts since your last visit. Number of subscriptions If you follow a lot of accounts the algorithm will select a variety of posts to add to your feed so you're less likely to see posts from a specific person. Behaviors How much time you spend in.
發表於 2023-10-9 13:27:50
