Google Search is a search engine operated by Google. It allows users to search for information on the Internet by entering keywords or phrases. Google Search uses algorithms to analyze and rank websites based on their relevance to the search query. It is the most popular search engine worldwide.
Dijkstra's algorithm is an algorithm for finding the shortest paths between nodes in a weighted graph, which may represent, for example, road networks. It was conceived by computer scientist Edsger W. Dijkstra in 1956 and published three years later.
Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. SEO targets unpaid traffic rather than direct traffic or paid traffic. Unpaid traffic may originate from different kinds of searches, including image search, video search, academic search, news search, and industry-specific vertical search engines.
In graph theory, a component of an undirected graph is a connected subgraph that is not part of any larger connected subgraph. The components of any graph partition its vertices into disjoint sets, and are the induced subgraphs of those sets. A graph that is itself connected has exactly one component, consisting of the whole graph. Components are sometimes called connected components.
Relative to some web resource, a backlink is a link from some other website to that web resource. A web resource may be a website, web page, or web directory.
Stochastic gradient descent is an iterative method for optimizing an objective function with suitable smoothness properties. It can be regarded as a stochastic approximation of gradient descent optimization, since it replaces the actual gradient by an estimate thereof. Especially in high-dimensional optimization problems this reduces the very high computational burden, achieving faster iterations in exchange for a lower convergence rate.
Social media optimization (SMO) is the use of a number of outlets and communities to generate publicity to increase the awareness of a product, service brand or event. Types of social media involved include RSS feeds, social news, bookmarking sites, and social networking sites such as Facebook, Instagram, Twitter, video sharing websites, and blogging sites. SMO is similar to search engine optimization (SEO) in that the goal is to generate web traffic and increase awareness for a website. SMO's focal point is on gaining organic links to social media content. In contrast, SEO's core is about reaching the top of the search engine hierarchy. In general, social media optimization refers to optimizing a website and its content to encourage more users to use and share links to the website across social media and networking sites.
Social television is the union of television and social media. Millions of people now share their TV experience with other viewers on social media such as Twitter and Facebook using smartphones and tablets. TV networks and rights holders are increasingly sharing video clips on social platforms to monetise engagement and drive tune-in.
Social network advertising, also known as social media targeting, is a group of terms used to describe forms of online advertising and digital marketing that focus on social networking services. A significant aspect of this type of advertising is that advertisers can take advantage of users' demographic information, psychographics, and other data points to target their ads.
Learning to rank or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. Training data may, for example, consist of lists of items with some partial order specified between items in each list. This order is typically induced by giving a numerical or ordinal score or a binary judgment for each item. The goal of constructing the ranking model is to rank new, unseen lists in a similar way to rankings in the training data.
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:
PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. The underlying assumption is that more important websites are likely to receive more links from other websites.
A share icon is a user interface icon intended to convey to the user a button for performing a share action. Content platforms such as YouTube often include a share icon so that users can forward the content onto social media platforms or embed videos into their websites, thus increasing its view count.
A like button, like option, or recommend button is a feature in communication software such as social networking services, Internet forums, news websites and blogs where the user can express that they like, enjoy or support certain content. Internet services that feature like buttons usually display the number of users who liked each content, and may show a full or partial list of them. This is a quantitative alternative to other methods of expressing reaction to content, like writing a reply text. Some websites also include a dislike button, so the user can either vote in favor, against or neutrally. Other websites include more complex web content voting systems. For example, five stars or reaction buttons to show a wider range of emotion to the content.
The like button on the social networking website Facebook was first enabled on February 9, 2009. The like button enables users to easily interact with status updates, comments, photos and videos, links shared by friends, and advertisements. Once clicked by a user, the designated content appears in the News Feeds of that user's friends, and the button also displays the number of other users who have liked the content, including a full or partial list of those users. The like button was extended to comments in June 2010. After extensive testing and years of questions from the public about whether it had an intention to incorporate a "Dislike" button, Facebook officially rolled out "Reactions" to users worldwide on February 24, 2016, letting users long-press on the like button for an option to use one of five pre-defined emotions, including "Love", "Haha", "Wow", "Sad", or "Angry". Reactions were also extended to comments in May 2017, and had a major graphical overhaul in April 2019.
Fish School Search (FSS), proposed by Bastos Filho and Lima Neto in 2008 is, in its basic version, an unimodal optimization algorithm inspired on the collective behavior of fish schools. The mechanisms of feeding and coordinated movement were used as inspiration to create the search operators. The core idea is to make the fishes “swim” toward the positive gradient in order to “eat” and “gain weight”. Collectively, the heavier fishes have more influence on the search process as a whole, what makes the barycenter of the fish school moves toward better places in the search space over the iterations.
Local search engine optimization is similar to (national) SEO in that it is also a process affecting the visibility of a website or a web page in a web search engine's unpaid results often referred to as "natural", "organic", or "earned" results. In general, the higher ranked on the search results page and more frequently a site appears in the search results list, the more visitors it will receive from the search engine's users; these visitors can then be converted into customers. Local SEO, however, differs in that it is focused on optimizing a business's online presence so that its web pages will be displayed by search engines when users enter local searches for its products or services. Ranking for local search involves a similar process to general SEO but includes some specific elements to rank a business for local search.
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.
Social media reach is a media analytics metric that refers to the number of users who have come across a particular content on a particular social media platform. Social media platforms have their own individual ways of tracking, analyzing and reporting the traffic on each of the individual platforms. As these platforms are a main source of communication between companies and their target audiences, by conducting research, companies are able to utilize analytical information, such as the reach of their posts, to better understand the interactions between the users and their content.
Algorithmic radicalization is the concept that recommender algorithms on popular social media sites such as YouTube and Facebook drive users toward progressively more extreme content over time, leading to them developing radicalized extremist political views. Algorithms record user interactions, from likes/dislikes to amount of time spent on posts, to generate endless media aimed to keep users engaged. Through echo chamber channels, the consumer is driven to be more polarized through preferences in media and self-confirmation.
Rage-baiting or rage-farming is internet slang that refers to a manipulative tactic to elicit outrage with the goal of increasing internet traffic, online engagement, revenue and support. Rage baiting or farming can be used as a tool to increase engagement, attract subscribers, followers, and supporters, which can be financially lucrative. Rage baiting and rage farming manipulates users to respond in kind to offensive, inflammatory headlines, memes, tropes, or comments.
