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Facebook Graph Search

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Facebook[4] Graph Search is a search engine[2] developed by the social media[3] giant, Facebook. Introduced in 2013, it was built by former Google[5] employees Lars Rasmussen and Tom Stocky. The engine is designed to provide search results based on the user’s profile, their connections, and privacy settings[1]. It’s a semantic search engine, focusing more on the intended meaning of the search query rather than the exact phrasing. It supports searches for people, pages, places, check-ins, and objects within Facebook’s network. Its unique features include an auto-complete function and the ability to filter results by time and specific users’ News feed. However, in 2019, most of its functionalities were halted and the focus shifted towards improving keyword search functionality. Although it provided a more personalized search experience, its launch raised several privacy[6] concerns.

Terms definitions
1. privacy settings. This text primarily discusses the concept of "Privacy Settings." Privacy settings are a crucial feature on social networking services and other online platforms that allow users to control who can access their personal information. These settings play a pivotal role in protecting users from privacy leaks, although their effectiveness can be compromised through others' connections or by default settings that encourage oversharing. User attitudes, understanding of privacy policies, and the accessibility of privacy settings all influence personal and interpersonal privacy management. Enhancements to privacy settings, such as design improvements and the adoption of privacy by design principles, can help mitigate risks of unintentional information sharing. Companies often adjust these settings to balance user privacy with their own data collection needs. Privacy management tools, including software and trust-based negotiations, offer additional control over privacy policies.
2. search engine. A search engine is a vital tool that functions as part of a distributed computing system. It's a software system that responds to user queries by providing a list of hyperlinks, summaries, and images. It utilizes a complex indexing system, which is continuously updated by web crawlers that mine data from web servers. Some content, however, remains inaccessible to these crawlers. The speed and efficiency of a search engine are highly dependent on its indexing system. Users interact with search engines via a web browser or app, inputting queries and receiving suggestions as they type. The results may be filtered to specific types, and the system can be accessed on various devices. This tool is significant as it allows users to navigate the vast web, find relevant content, and efficiently retrieve information.

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. The name refers to the social graph nature of Facebook, which maps the relationships among users. The Graph Search feature combined the big data acquired from its over one billion users and external data into a search engine providing user-specific search results. In a presentation headed by Facebook CEO Mark Zuckerberg, it was announced that the Graph Search algorithm finds information from within a user's network of friends. Microsoft's Bing search engine provided additional results. In July it was made available to all users using the U.S. English version of Facebook. After being made less publicly visible starting December 2014, the original Graph Search was almost entirely deprecated in June 2019.

Facebook Graph Search feature
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