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I am looking for some technical documentation describing Facebook architecture and, specifically, documents providing some detail how Facebook selects which ads to show depending on user actions.<br />
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Note, the documents should provide technical detail beyond of what is available on Facebook User Guide (<a href="https://www.facebook.com/business/products/ads" rel="ugc">https://www.facebook.com/business/products/ads</a>). I am interested in what databases they use, how the data is distributed, where the data centers are located, etc. <br />
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Ideally the documents should be authored by Facebook or some other reliable entity. Thank you, experts!
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I am looking for some technical documentation describing Facebook architecture and, specifically, documents providing some detail how Facebook selects which ads to show depending on user actions.

Note, the documents should provide technical detail beyond of what is available on Facebook User Guide (https://www.facebook.com/business/products/ads). I am interested in what databases they use, how the data is distributed, where the data centers are located, etc. 

Ideally the documents should be authored by Facebook or some other reliable entity. Thank you, experts!

Facebook advertising architecture

Facebook is an online social networking service. After registering to use the site, users can create a user profile, add other users as "friends", exchange messages, post status updates and photos and receive notifications when others update their profiles. Additionally, users may join common-interest user groups, organized by workplace, school or college, or other characteristics, and categorize their friends into lists such as "People From Work" or "Close Friends". Notable features include a News Feed, Friends, a Wall, a Timeline, the Like button, Messages and an inbox, Notifications and Networks and groups.

Facebook

Search Engine Optimization (SEO) is the process of improving the visibility of web content in search engines using an understanding of search engines' processes and algorithms. Also known as "natural" or "organic" search, it is distinct from paid web advertising. Performance is typically measured by testing the appearance of a website for targeted search terms, and more specifically, ranked positions in search for important keywords. Techniques focus on content optimization, technical optimization and link building.