Facebook Graph Search | Solutional Webdesign Antwerpen

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Facebook^[4] Graph Search is a moteur de recherche^[2] developed by the médias sociaux^[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 vie privée^[6] concerns.

Définitions des termes

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. ↑ moteur de recherche. Un moteur de recherche est un outil essentiel qui fait partie d'un système informatique distribué. Il s'agit d'un système logiciel qui répond aux requêtes des utilisateurs en fournissant une liste d'hyperliens, de résumés et d'images. Il utilise un système d'indexation complexe, qui est continuellement mis à jour par des robots d'indexation qui exploitent les données des serveurs web. Certains contenus restent toutefois inaccessibles à ces robots. La vitesse et l'efficacité d'un moteur de recherche dépendent fortement de son système d'indexation. Les utilisateurs interagissent avec les moteurs de recherche par l'intermédiaire d'un navigateur web ou d'une application, en saisissant des requêtes et en recevant des suggestions au fur et à mesure de la saisie. Les résultats peuvent être filtrés selon des types spécifiques et le système est accessible sur différents appareils. Cet outil est important car il permet aux utilisateurs de naviguer sur le vaste web, de trouver des contenus pertinents et de récupérer efficacement des informations.

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Glossaire

Recherche graphique sur Facebook (Wikipedia)

Recherche graphique sur Facebook 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.

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