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Recommender system

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System to predict users' preferencesA recommender system, also called a recommendation engine or content discovery platform is a type of information filtering system that aims to suggest items most relevant for some input or to a particular user. In the context of social media, search engines, and other online services, a recommender system for a given service might sometimes informally but erroneously be referred to as the service's "algorithm".

Collaborative filteringCollaborative filteringCollaborative filtering (CF) is, besides content-based filtering, one of two major techniques used by recommender systems. Collaborative filtering has two senses, a narrow one and a more general one. In the newer, narrower sense, collaborative filtering is a method of making automatic predictions (filtering) about a user's interests by utilizing preferences or taste information collected from many users (collaborating). This approach assumes that if persons A and B share sim…Information filtering systemInformation filtering systemAn information filtering system is a system that removes redundant or unwanted information from an information stream using (semi)automated or computerized methods prior to presentation to a human user. Its main goal is the management of the information overload and increment of the semanticsignal-to-noise ratio. To do this the user's profile is compared to some reference characteristics.Deep learningDeep learningBranch of machine learningRepresenting images on multiple layers of abstraction in deep learningIn machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and revolves around stacking artificial neurons into layers and "training" them to process data.K-nearest neighbors algorithmIn statistics and machine learning, the k-nearest neighbors algorithm (k-NN) is a non-parametric supervised learning method that assigns weightage only to the k (number of) nearest neighbors of an entity in making a decision about the entity. It is used both in classification -- where a new example is assigned a label based on the labels of its k nearest training examples; and in regression -- where the prediction is computed from the values of those neighbors.AlgorithmAlgorithmIn mathematics and computer science, an algorithm () is any well-defined set of instructions that when followed terminates after a finite number of steps that comprise a solution to a given computational problem. Advanced algorithms may utilize loops and involve many conditionals that decide the next step based on the inputs provided, resulting in long sequences of steps before halting, but all algorithms terminate by definition.Social mediaSocial mediaVirtual online communitiesVarious social media platformsSocial media are new media technologies that facilitate the creation, sharing and aggregation of content (such as ideas, interests, and other forms of expression) amongst virtual communities and networks.Machine learningMachine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without being explicitly programmed. Statistics and mathematical optimisation methods compose the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysis (EDA) through unsupervised learning.Search engineSearch engineThe term search engine refers to a search application that provides links to web pages and other relevant information on the Web (or the Internet in general) in response to a user's query. Users submit their queries through a web browser or a mobile app, and the results page generally displays a collection of hyperlinks together with brief descriptions and relevant images.PlaylistPlaylistA playlist is a list of video or audio files that can be played back on a media player, either sequentially or in a shuffled order. In its most general form, an audio playlist is simply a list of songs that can be played once or in a loop. The term has several specialized meanings in the realms of television broadcasting, radio broadcasting and personal computers. A video playlist can also be a list of recorded titles on a digital video disk (DVD).E-commerceE-commerceType of business industry usually conducted over the internetE-commerce (electronic commerce) refers to commercial activities including the electronic buying or selling products and services which are conducted on online platforms or over the Internet.Streaming mediaStreaming mediaStreaming media is the method by which multimedia data is delivered through a network for playback using a digital media player or media player software. Media is transferred in a stream of packets from a server to a client and is rendered in real-time or near real-time; this contrasts with file downloading, a process in which the end-user obtains an entire media file before consuming the content.Decision-makingDecision-makingProcess to choose a course of actionIn psychology, decision-making (also spelled decision making and decisionmaking) is regarded as the cognitive process resulting in the selection of a belief or a course of action among several possible alternative options. It could be either rational or irrational. The decision-making process is a reasoning process based on assumptions of values, preferences and beliefs of the decision-maker.

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