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EdgeRank
EdgeRank is the name commonly given to the algorithm that Facebook uses to determine what articles should be displayed in a user's News Feed. As of 2011, Facebook has stopped using the EdgeRank system and uses a machine learning algorithm that, as of 2013, takes more than 100,000 factors into account. EdgeRank was developed and implemented by Serkan Piantino. Formula and factors In 2010, a simplified version of the EdgeRank algorithm was presented as: :\sum_ u_e w_e d_e where: : u_e is user affinity. : w_e is how the content is weighted. : d_e is a time-based decay parameter. * User Affinity: The User Affinity part of the algorithm in Facebook's EdgeRank looks at the relationship and proximity of the user and the content (post/status update). * Content Weight: What action was taken by the user on the content. * Time-Based Decay Parameter: New or old. Newer posts tend to hold a higher place than older posts. Some of the methods that Facebook uses to adjust the parameters are p ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Facebook
Facebook is an online social media and social networking service owned by American company Meta Platforms. Founded in 2004 by Mark Zuckerberg with fellow Harvard College students and roommates Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes, its name comes from the face book directories often given to American university students. Membership was initially limited to Harvard students, gradually expanding to other North American universities and, since 2006, anyone over 13 years old. As of July 2022, Facebook claimed 2.93 billion monthly active users, and ranked third worldwide among the most visited websites as of July 2022. It was the most downloaded mobile app of the 2010s. Facebook can be accessed from devices with Internet connectivity, such as personal computers, tablets and smartphones. After registering, users can create a profile revealing information about themselves. They can post text, photos and multimedia which are shared with any ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
News Feed (Facebook)
Facebook's Feed, formerly known as the News Feed, is a web feed feature for the social network. The feed is the primary system through which users are exposed to content posted on the network. Feed highlights information that includes profile changes, upcoming events, and birthdays, among other updates. Using a proprietary method, Facebook selects a handful of updates to show users every time they visit their feed, out of an average of 2,000 updates they can potentially receive. Over two billion people use Facebook every month, making the network's Feed the most viewed and most influential aspect of the news industry. The feature, introduced in 2006, was renamed "Feed" in 2022. History Before 2006, Facebook simply consisted of profiles, requiring the user to visit a profile to see any new posts. On September 6, 2006, Facebook announced a new home page feature called "News Feed". The new layout created an alternative home page in which users saw a constantly updated list of thei ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Algorithm
In mathematics and computer science, an algorithm () is a finite sequence of rigorous instructions, typically used to solve a class of specific Computational problem, problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can perform automated deductions (referred to as automated reasoning) and use mathematical and logical tests to divert the code execution through various routes (referred to as automated decision-making). Using human characteristics as descriptors of machines in metaphorical ways was already practiced by Alan Turing with terms such as "memory", "search" and "stimulus". In contrast, a Heuristic (computer science), heuristic is an approach to problem solving that may not be fully specified or may not guarantee correct or optimal results, especially in problem domains where there is no well-defined correct or optimal result. As an effective method, an algorithm ca ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Serkan Piantino
Serkan may refer to: People * Serkan Atak (born 1984), German footballer of Turkish descent * Serkan Aykut (born 1975), Turkish footballer * Serkan Balcı (born 1983), Turkish footballer * Serkan Çalik (born 1986), Turkish footballer * Serkan Çeliköz (born 1975), Turkish musician * Serkan Demirel (born 1987), Turkish-Dutch futsal player * Serkan Erdoğan (born 1978), Turkish basketball player * Serkan İnan (born 1986), Swedish basketball player of Turkish descent * Serkan Kaya (born 1984), Turkish marathon runner * Serkan Kırıntılı (born 1985), Turkish footballer * Serkan Köse (born 1976), Swedish politician * Serkan Kurtuluş (born 1990), Turkish footballer * Serkan Özdemir (born 1976), Turkish footballer * Serkan Özkaya (born 1973), Turkish artist * Serkan Özsoy (born 1978), Turkish footballer * Serkan Şahin (born 1988), Turkish footballer * Serkan Yıldık Serkan Yıldık (born 23 September 1982) is a Turkish former professional footballer who played as a mi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Filter Bubble
A filter bubble or ideological frame is a state of intellectual isolationTechnopediaDefinition – What does Filter Bubble mean?, Retrieved October 10, 2017, "....A filter bubble is the intellectual isolation, that can occur when websites make use of algorithms to selectively assume the information a user would want to see, and then give information to the user according to this assumption ... A filter bubble, therefore, can cause users to get significantly less contact with contradicting viewpoints, causing the user to become intellectually isolated...." that can result from personalized searches when a website algorithm selectively guesses what information a user would like to see based on information about the user, such as location, past click-behavior, and search history.Website visitor tracking As a result, users become separated from information that disagrees with their viewpoints, effectively isolating them in their own cultural or ideological bubbles. The choices made by ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Engagement Rate
Social engagement (also social involvement, social participation) refers to one's degree of participation in a community or society. Definitions Prohaska, Anderson and Binstock (2012) noted that the term social engagement is commonly used to refer to one's participation in the activities of a social group. The term has been defined by Avison, McLeod and Pescosolido (2007) as "the extent to which an individual participates in a broad range of social roles and relationships." and by Zhang, Jiang, and Carroll as "the commitment of a member to stay in the group and interact with other members". Prohaska, Anderson and Binstock (2012) noted that the term has not always been used consistently in literature, and can be sometimes confused with several other similar (but distinct) concepts from social sciences. Social engagement is different from the concept of a social network, as social network focuses on a group, rather than the activity. They similarly note the difference between soc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Organic Reach
Earned media (or free media) refers to publicity gained through promotional efforts other than advertising ( paid media) or branding (owned media). Background There are many types of media available to online marketers and fit into the broad categories: owned, paid, and earned media. ''Owned media'' is defined as communication channels that are within one's control, such as websites, blogs, or email. ''Paid media'' refers mostly to traditional advertising. ''Earned media'' cannot be bought or owned; it can only be gained organically, when content receives recognition and a following through communication channels such as social media and word of mouth. Earned media often refers specifically to publicity gained through editorial influence of various kinds. The media may include any mass media outlets, such as newspaper, television, radio, and the Internet, and may include a variety of formats, such as news articles or shows, letters to the editor, editorials, and polls on televisi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
PageRank
PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder Larry Page. PageRank is a way of measuring the importance of website pages. According to Google: Currently, PageRank is not the only algorithm used by Google to order search results, but it is the first algorithm that was used by the company, and it is the best known. As of September 24, 2019, PageRank and all associated patents are expired. Description PageRank is a link analysis algorithm and it assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web, with the purpose of "measuring" its relative importance within the set. The algorithm may be applied to any collection of entities with reciprocal quotations and references. The numerical weight that it assigns to any given element ''E'' is referred to as the ''PageRank of E'' and denoted by PR(E). A PageRank results f ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
