Difference between revisions of "Profile"
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==Origin== | ==Origin== | ||
Italian ''profilo'', from ''profilare'' to draw in [[outline]], from ''pro''- forward (from [[Latin]]) + ''filare'' to spin | Italian ''profilo'', from ''profilare'' to draw in [[outline]], from ''pro''- forward (from [[Latin]]) + ''filare'' to spin | ||
| − | *[ | + | *[https://en.wikipedia.org/wiki/17th_century 1645] |
==Defiinitions== | ==Defiinitions== | ||
*1: a [[representation]] of something in outline; especially : a human head or [[face]] represented or seen in a side view | *1: a [[representation]] of something in outline; especially : a human head or [[face]] represented or seen in a side view | ||
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'''Profiling''' ([[Information science]]) refers to the whole [[process]] of construction and application of profiles generated by [[computerized]] profiling [[technologies]]. What characterizes profiling technologies is the use of [[algorithms]] or other [[mathematical]] [[techniques]] that allow one to discover [[patterns]] or correlations in large [[quantities]] of [[data]], aggregated in databases. When these patterns or correlations are used to identify or [[represent]] people they can be called profiles. Other than a [[discussion]] of profiling technologies or [[population]] profiling the notion of profiling practices is not just about the construction of profiles, but also concerns the [[application]] of group profiles to [[individuals]], e.g. in the case of credit scoring, price [[discrimination]], or identification of [[security]] risks. | '''Profiling''' ([[Information science]]) refers to the whole [[process]] of construction and application of profiles generated by [[computerized]] profiling [[technologies]]. What characterizes profiling technologies is the use of [[algorithms]] or other [[mathematical]] [[techniques]] that allow one to discover [[patterns]] or correlations in large [[quantities]] of [[data]], aggregated in databases. When these patterns or correlations are used to identify or [[represent]] people they can be called profiles. Other than a [[discussion]] of profiling technologies or [[population]] profiling the notion of profiling practices is not just about the construction of profiles, but also concerns the [[application]] of group profiles to [[individuals]], e.g. in the case of credit scoring, price [[discrimination]], or identification of [[security]] risks. | ||
| − | Profiling is not simply a matter of [[computerized]] [[pattern]] [[recognition]]; it enables refined price-discrimination, targeted servicing, detection of [[fraud]], and extensive social sorting. Real-time [[machine]] profiling constitutes the precondition for emerging socio-technical [[infrastructures]] [[envisioned]] by advocates of [ | + | Profiling is not simply a matter of [[computerized]] [[pattern]] [[recognition]]; it enables refined price-discrimination, targeted servicing, detection of [[fraud]], and extensive social sorting. Real-time [[machine]] profiling constitutes the precondition for emerging socio-technical [[infrastructures]] [[envisioned]] by advocates of [https://en.wikipedia.org/wiki/Ambient_intelligence ambient intelligence], [https://en.wikipedia.org/wiki/Autonomic_Computing Autonomic Computing] and [https://en.wikipedia.org/wiki/Ubiquitous_computing ubiquitous computing]. |
| − | One of the most challenging [[problems]] of the [ | + | One of the most challenging [[problems]] of the [https://en.wikipedia.org/wiki/Information_society information society] is dealing with the increasing [[data]] overload. With the digitizing of all sorts of [[content]] as well as the improvement and drop in cost of recording technologies, the amount of available information has become enormous and is increasing [[exponentially]]. It has thus become important for companies, [[governments]], and [[individuals]] to be able to [[discriminate]] information from [[noise]], detecting those [[data]] that are useful or interesting. The development of profiling technologies must be seen against this background. These [[technologies]] are thought to [[efficiently]] collect and [[analyze]] data in order to find or test [[knowledge]] in the form of [[statistical]] patterns between data. This process is called [https://en.wikipedia.org/wiki/Knowledge_Discovery_in_Databases Knowledge Discovery in Databases] (KDD) which provides the profiler with sets of correlated [[data]] that are used as "profiles". |
==Demographic profile== | ==Demographic profile== | ||
| − | A demographic or ''demographic profile'' is a term used in [ | + | A demographic or ''demographic profile'' is a term used in [https://en.wikipedia.org/wiki/Marketing marketing] and broadcasting, to describe a demographic grouping or a market segment. This typically involves age bands (as [[teenagers]] do not wish to purchase denture fixant), [[social]] class bands (as the [[rich]] may want different products than middle and lower classes and may be willing to pay more) and [[gender]] (partially because different [[physical]] attributes require different hygiene and clothing products, and partially because of the [[male]]/[[female]] mindsets). |
| − | A demographic profile can be used to determine when and where advertising should be placed so as to [[achieve]] maximum results. In all such cases, it is important that the advertiser get the most results for their [[money]], and so careful [[research]] is done to match the demographic profile of the [ | + | A demographic profile can be used to determine when and where advertising should be placed so as to [[achieve]] maximum results. In all such cases, it is important that the advertiser get the most results for their [[money]], and so careful [[research]] is done to match the demographic profile of the [https://en.wikipedia.org/wiki/Target_market target market] to the demographic profile of the advertising medium. For instance, shortly after the cancellation of [https://en.wikipedia.org/wiki/Star_Trek:_The_Original_Series Star Trek] in 1969, [https://en.wikipedia.org/wiki/NBC NBC]'s marketing department complained that was premature. They [[explained]] that their newly instituted demographic [[audience]] profiling [[techniques]] indicated that the series' main young urban audience was highly desirable for advertisers. In 1971, [https://en.wikipedia.org/wiki/CBS CBS] acted on their own marketing department's demographic findings about their television network's programming and canceled several series that [[appealed]] primarily to older and [[rural]] [[audiences]] in a move nicknamed the [https://en.wikipedia.org/wiki/Rural_purge rural purge]. |
| − | A good way to figure out the intended demographic of a television show, TV channel, or magazine is to [[study]] the ads that accompany it. For example, in the United States the television program [ | + | A good way to figure out the intended demographic of a television show, TV channel, or magazine is to [[study]] the ads that accompany it. For example, in the United States the television program [https://en.wikipedia.org/wiki/The_Price_is_Right "The Price is Right"] most frequently airs from 11 a.m. to Noon. The commercials on it (besides the use of product placement in the show itself) are often for things like [https://en.wikipedia.org/wiki/Arthritis arthritis] [https://en.wikipedia.org/wiki/Analgesic pain relievers] and diapers. This indicates that the target demographics are [[senior citizens]] and [[parents]] with young [[children]], both of whom would be [[home]] at that time of day and see that show. Another example would be [https://en.wikipedia.org/wiki/MTV MTV], for it has many ads with digital audio players indicating that the channel is targeted to [[Youth|young adults]] and [[teenagers]] and/or [[fans]] of [[music]].[https://en.wikipedia.org/wiki/Demographic_profile] |
[[Category: Computer Science]] | [[Category: Computer Science]] | ||
Latest revision as of 02:37, 13 December 2020
Origin
Italian profilo, from profilare to draw in outline, from pro- forward (from Latin) + filare to spin
Defiinitions
- 1: a representation of something in outline; especially : a human head or face represented or seen in a side view
- 2: an outline seen or represented in sharp relief : contour
- 3: a side or sectional elevation: as
- a : a drawing showing a vertical section of the ground
- b : a vertical section of a soil from the ground surface to the underlying unweathered material
- 4: a set of data often in graphic form portraying the significant features of something <a corporation's earnings profile>; especially : a graph representing the extent to which an individual exhibits traits or abilities as determined by tests or ratings
- 5: a concise biographical sketch
- 6: degree or level of public exposure <trying to keep a low profile> <a job with a high profile>
Description
Profiling (Information science) refers to the whole process of construction and application of profiles generated by computerized profiling technologies. What characterizes profiling technologies is the use of algorithms or other mathematical techniques that allow one to discover patterns or correlations in large quantities of data, aggregated in databases. When these patterns or correlations are used to identify or represent people they can be called profiles. Other than a discussion of profiling technologies or population profiling the notion of profiling practices is not just about the construction of profiles, but also concerns the application of group profiles to individuals, e.g. in the case of credit scoring, price discrimination, or identification of security risks.
Profiling is not simply a matter of computerized pattern recognition; it enables refined price-discrimination, targeted servicing, detection of fraud, and extensive social sorting. Real-time machine profiling constitutes the precondition for emerging socio-technical infrastructures envisioned by advocates of ambient intelligence, Autonomic Computing and ubiquitous computing.
One of the most challenging problems of the information society is dealing with the increasing data overload. With the digitizing of all sorts of content as well as the improvement and drop in cost of recording technologies, the amount of available information has become enormous and is increasing exponentially. It has thus become important for companies, governments, and individuals to be able to discriminate information from noise, detecting those data that are useful or interesting. The development of profiling technologies must be seen against this background. These technologies are thought to efficiently collect and analyze data in order to find or test knowledge in the form of statistical patterns between data. This process is called Knowledge Discovery in Databases (KDD) which provides the profiler with sets of correlated data that are used as "profiles".
Demographic profile
A demographic or demographic profile is a term used in marketing and broadcasting, to describe a demographic grouping or a market segment. This typically involves age bands (as teenagers do not wish to purchase denture fixant), social class bands (as the rich may want different products than middle and lower classes and may be willing to pay more) and gender (partially because different physical attributes require different hygiene and clothing products, and partially because of the male/female mindsets).
A demographic profile can be used to determine when and where advertising should be placed so as to achieve maximum results. In all such cases, it is important that the advertiser get the most results for their money, and so careful research is done to match the demographic profile of the target market to the demographic profile of the advertising medium. For instance, shortly after the cancellation of Star Trek in 1969, NBC's marketing department complained that was premature. They explained that their newly instituted demographic audience profiling techniques indicated that the series' main young urban audience was highly desirable for advertisers. In 1971, CBS acted on their own marketing department's demographic findings about their television network's programming and canceled several series that appealed primarily to older and rural audiences in a move nicknamed the rural purge.
A good way to figure out the intended demographic of a television show, TV channel, or magazine is to study the ads that accompany it. For example, in the United States the television program "The Price is Right" most frequently airs from 11 a.m. to Noon. The commercials on it (besides the use of product placement in the show itself) are often for things like arthritis pain relievers and diapers. This indicates that the target demographics are senior citizens and parents with young children, both of whom would be home at that time of day and see that show. Another example would be MTV, for it has many ads with digital audio players indicating that the channel is targeted to young adults and teenagers and/or fans of music.[1]
