Algorithmic Feeds Social networks use

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They read passersby's age, gender, facial expressions and the make of passing cars. There is also a hotspot nearby. Based on the data collected, the billboard selects ads that are of interest to passers-by and car owners. Social Networks and Services, , and  machine learning to generate algorithmic news feeds and recommended pages for users. The network takes into account the user's preferences, likes and subscriptions.

Ad serves him the most appropriate questions. Without the algorithmic last database feed, viewers will start to get lost in a flood of news that isn’t particularly relevant. For example if you have been subscribed to a page for a long time but the posts you have seen lately are not active then you will be shown fewer posts from that page. Through machine learning the social network can also train its anti-spam filters and detect the presence of pornographic content, helping to remove.



Content that does not comply with the network's rules before the first complaint is made. The service of the Russian developer of Face Finder uses photos to search user profiles. The results are impressive (and scary) in finding the person being photographed with reasonable accuracy even using the old photo in-service service. The company that also developed it has won several international facial recognition competitions and its technology is now used in the work.