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Facebook Graph Search feature. Facebook Graph Search was a semantic search engine that Facebook introduced in March 2013. It was designed to give answers to user natural language queries rather than a list of links. [1] The name refers to the social graph nature of Facebook, which maps the relationships among users.
One thing the most visited websites have in common is that they are dynamic websites.Their development typically involves server-side coding, client-side coding and database technology.
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Social search is a behavior of retrieving and searching on a social searching engine that mainly searches user-generated content such as news, videos and images related search queries on social media like Facebook, LinkedIn, Twitter, Instagram and Flickr. [1]
In 2018, Facebook took down 536 Facebook pages, 17 Facebook groups, 175 Facebook accounts, and 16 Instagram accounts linked to the Myanmar military. Collectively these were followed by over 10 million people. [ 383 ]
Mark Zuckerberg said that his team from Facebook is developing a Facebook search engine. [19] “Facebook is pretty well placed to respond to people’s questions. At some point, we will. We have a team that is working on it", said Mark Zuckerberg. For him, the traditional search engines return too many results that do not necessarily respond ...
A search engine maintains the following processes in near real time: [34] Web crawling; Indexing; Searching [35] Web search engines get their information by web crawling from site to site. The "spider" checks for the standard filename robots.txt, addressed to it. The robots.txt file contains directives for search spiders, telling it which pages ...
Facebook also said it was supporting an emerging encapsulation mechanism known as Locator/Identifier Separation Protocol (LISP), which separates Internet addresses from endpoint identifiers to improve the scalability of IPv6 deployments. "Facebook was the first major Web site on LISP (v4 and v6)", Facebook engineers said during their presentation.