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Persona (marketing)
A persona (also user persona, user personality, customer persona, buyer persona) in user-centered design and marketing is a semi-fictional characterization or representation of a typical Market segmentation, customer segment or end user. Personas help marketers and designers focus their efforts by humanizing data into relatable profiles. Personas are one of the outcomes of market segmentation, where marketers use the results of statistical analysis and qualitative observations to draw profiles, giving them names and personalities to paint a picture of a person that could exist in real life. The term persona is used widely in online and technology applications as well as in advertising, where other terms such as ''pen portraits'' may also be used. Personas are useful in considering the goals, desires, and limitations of brand buyers and users in order to help to guide decisions about a service, product or interaction space such as features, interactions, and visual design of a web ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
New Readers User Persona - Femi - Nigeria
New or NEW may refer to: Music * New, singer of K-pop group The Boyz (South Korean band), The Boyz * New (album), ''New'' (album), by Paul McCartney, 2013 ** New (Paul McCartney song), "New" (Paul McCartney song), 2013 * New (EP), ''New'' (EP), by Regurgitator, 1995 * New (Daya song), "New" (Daya song), 2017 * New (No Doubt song), "New" (No Doubt song), 1999 * "new", a song by Loona from the 2017 single album ''Yves (single album), Yves'' * "The New", a song by Interpol from the 2002 album ''Turn On the Bright Lights'' Transportation * Lakefront Airport, New Orleans, U.S., IATA airport code NEW * Newcraighall railway station, Scotland, station code NEW Other uses * New (film), ''New'' (film), a 2004 Tamil movie * New (surname), an English family name * NEW (TV station), in Australia * new and delete (C++), in the computer programming language * Net economic welfare, a proposed macroeconomic indicator * Net explosive weight, also known as net explosive quantity * Network of enlig ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
1-s2
1S or 1s may refer to: * 1s electron, in an atomic orbital * Sabre (computer system)'s IATA code * 1S, a series of Toyota S engines * SSH 1S (WA); see Washington State Route 502, Washington State Route 503 * One shilling (British coin) See also *Shilling The shilling is a historical coin, and the name of a unit of modern currency, currencies formerly used in the United Kingdom, Australia, New Zealand, other British Commonwealth countries and Ireland, where they were generally equivalent to 1 ... * Second * Ones (other) * S1 (other) {{Letter-NumberCombDisambig ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Digital Identity
A digital identity is data stored on Computer, computer systems relating to an individual, organization, application, or device. For individuals, it involves the collection of personal data that is essential for facilitating automated access to digital services, confirming one's identity on the internet, and allowing digital systems to manage interactions between different parties. It is a component of a person's social identity in the digital realm, often referred to as their online identity. Digital identities are composed of the full range of data produced by a person's activities on the internet, which may include usernames and passwords, search histories, dates of birth, Social Security number, social security numbers, and records of online purchases. When such personal information is accessible in the public domain, it can be used by others to piece together a person's offline identity. Furthermore, this information can be compiled to construct a "data double"—a comprehe ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Dave And Sue
BBC Local Radio (also referred to as Local BBC Radio) is the BBC's local and regional radio division for England and the Channel Islands, consisting of 39 stations. As of December 2024, the network broadcasts to a combined audience of 7.1 million, with a listening share of 4.6%, according to RAJAR. History The popularity of pirate radio was to challenge a then very "stiff" and blinkered management at the BBC. The most prominent concession by the BBC was the creation of BBC Radio 1 to satisfy the ever-demanding new youth culture with their thirst for new, popular music. The other, however, was that these pirate radio stations were, in some cases, local. As a result, BBC Local Radio began as an experiment. Initially, stations had to be co-funded by the BBC and local authorities, which only some Labour-controlled areas proved willing to do. Radio Leicester was the first to launch on 8 November 1967, followed by Leeds, Stoke, Durham, Sheffield, Merseyside, Brighton, and Not ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Behavioral Targeting
Targeted advertising or data-driven marketing is a form of advertising, including online advertising, that is directed towards an audience with certain traits, based on the product or person the advertiser is promoting. These traits can either be demographic with a focus on race, economic status, sex, age, generation, level of education, income level, and employment, or psychographic focused on the consumer values, personality, attitude, opinion, lifestyle, and interests. This focus can also entail behavioral variables, such as browser history, purchase history, and other recent online activities. The process of algorithm targeting eliminates waste. Traditional forms of advertising, including billboards, newspapers, magazines, and radio channels, are progressively becoming replaced by online advertisements. Through the emergence of new online channels, the usefulness of targeted advertising is increasing because companies aim to minimize wasted advertising. Most targeted ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Non-negative Matrix Factorization
Non-negative matrix factorization (NMF or NNMF), also non-negative matrix approximation is a group of algorithms in multivariate analysis and linear algebra where a matrix is factorized into (usually) two matrices and , with the property that all three matrices have no negative elements. This non-negativity makes the resulting matrices easier to inspect. Also, in applications such as processing of audio spectrograms or muscular activity, non-negativity is inherent to the data being considered. Since the problem is not exactly solvable in general, it is commonly approximated numerically. NMF finds applications in such fields as astronomy, computer vision, document clustering, missing data imputation, chemometrics, audio signal processing, recommender systems, and bioinformatics. History In chemometrics non-negative matrix factorization has a long history under the name "self modeling curve resolution". In this framework the vectors in the right matrix are continuous ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Latent Semantic Analysis
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms. LSA assumes that words that are close in meaning will occur in similar pieces of text (the distributional hypothesis). A matrix containing word counts per document (rows represent unique words and columns represent each document) is constructed from a large piece of text and a mathematical technique called singular value decomposition (SVD) is used to reduce the number of rows while preserving the similarity structure among columns. Documents are then compared by cosine similarity between any two columns. Values close to 1 represent very similar documents while values close to 0 represent very dissimilar documents. An information retrieval technique using latent semantic structure was patented in 1988 by Scott D ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Principal Component Analysis
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified. The principal components of a collection of points in a real coordinate space are a sequence of p unit vectors, where the i-th vector is the direction of a line that best fits the data while being orthogonal to the first i-1 vectors. Here, a best-fitting line is defined as one that minimizes the average squared perpendicular distance from the points to the line. These directions (i.e., principal components) constitute an orthonormal basis in which different individual dimensions of the data are linearly uncorrelated. Many studies use the first two principal components in order to plot the data in two dimensions and to visually identi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Factor Analysis
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. For example, it is possible that variations in six observed variables mainly reflect the variations in two unobserved (underlying) variables. Factor analysis searches for such joint variations in response to unobserved latent variables. The observed variables are modelled as linear combinations of the potential factors plus "error" terms, hence factor analysis can be thought of as a special case of errors-in-variables models. Simply put, the factor loading of a variable quantifies the extent to which the variable is related to a given factor. A common rationale behind factor analytic methods is that the information gained about the interdependencies between observed variables can be used later to reduce the set of variables in a dataset. Factor analysis is commonly used in psychometrics, pers ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cluster Analysis
Cluster analysis or clustering is the data analyzing technique in which task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more Similarity measure, similar (in some specific sense defined by the analyst) to each other than to those in other groups (clusters). It is a main task of exploratory data analysis, and a common technique for statistics, statistical data analysis, used in many fields, including pattern recognition, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Cluster analysis refers to a family of algorithms and tasks rather than one specific algorithm. It can be achieved by various algorithms that differ significantly in their understanding of what constitutes a cluster and how to efficiently find them. Popular notions of clusters include groups with small Distance function, distances between cluster members, dense areas of the data space, intervals or pa ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Criticism
Criticism is the construction of a judgement about the negative or positive qualities of someone or something. Criticism can range from impromptu comments to a written detailed response. , ''the act of giving your opinion or judgment about the good or bad qualities of something or someone or the act of saying that something or someone is bad'' Criticism falls into several overlapping types including "theoretical, practical, impressionistic, affective, prescriptive, or descriptive". , ''"The reasoned discussion of literary works, an activity which may include some or all of the following procedures, in varying proportions: the defence of literature against moralists and censors, classification of a work according to its genre, interpretation of its meaning, analysis of its structure and style, judgement of its worth by comparison with other works, estimation of its likely effect on readers, and the establishment of general principles by which literary works can be evaluated and u ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Pygmalion Effect
The Pygmalion effect is a psychological phenomenon in which high expectations lead to improved performance in a given area. It is named after the Greek myth of Pygmalion, the sculptor who fell so much in love with the perfectly beautiful statue he created that the statue came to life. The psychologists Robert Rosenthal and Lenore Jacobson present a view, that has been called into question as a result of later research findings, in their book ''Pygmalion in the Classroom;'' borrowing something of the myth by advancing the idea that teachers' expectations of their students affect the students' performance. Rosenthal and Jacobson held that high expectations lead to better performance and low expectations lead to worse, both effects leading to self-fulfilling prophecy. According to the Pygmalion effect, the targets of the expectations internalize their positive labels, and those with positive labels succeed accordingly; a similar process works in the opposite direction in the case of ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
