user profiling - перевод на Английский
Diclib.com
Словарь ChatGPT
Введите слово или словосочетание на любом языке 👆
Язык:

Перевод и анализ слов искусственным интеллектом ChatGPT

На этой странице Вы можете получить подробный анализ слова или словосочетания, произведенный с помощью лучшей на сегодняшний день технологии искусственного интеллекта:

  • как употребляется слово
  • частота употребления
  • используется оно чаще в устной или письменной речи
  • варианты перевода слова
  • примеры употребления (несколько фраз с переводом)
  • этимология

user profiling - перевод на Английский

User Agent Profiling

user profiling         
  • Art depicting the most contemporary social media platforms as of 2017.
  • illustration of Facebook and Cambridge Analytica
  • Example of setting up a Windows digital user profile on a computer
DATA ABOUT AN INDIVIDUAL USER
User page; User Profiles; User pages; User profiles; User profiling; Social networking profile; Social media profile; Social network profile; User:BigBoyEskil/Sample page
(n.) = creación de perfiles de usuario
Ex: The topic of user profiling appears to be neglected in the records management literature.
group profile         
PROCESS OF CONSTRUCTION AND APPLICATION OF USER PROFILES GENERATED BY COMPUTERIZED DATA ANALYSIS
Population profiling; Profiling practices; Web profiling; Group profile; Profile (information science); Unsupervised profiling; Supervised profiling; Distributive profile; Non-distributive profile
(n.) = perfil de grupo
Ex: Group SDI, these services are not individualised, but rather are based either on set of standard profiles (Standard SDI) from which the user can choose, or on a group profile which bridges the interest of a group of people.
profiling         
WIKIMEDIA DISAMBIGUATION PAGE
Profiling (disambiguation)
(n.) = descripción, adaptación

Def: En marketing, descripción de las características de los diferentes tipos de usuarios para adaptar mejor los productos a sus necesidades.
Ex: Some excursions into cognitive science have led to the profiling of users" backgrounds, differences and immediate need.
----
* user profiling = creación de perfiles de usuario

Определение

user name
<operating system, security> (Or "logon") A unique name for each user of computer services which can be accessed by several persons. Users need to identify themselves for accounting, security, logging, and resource management. Usually a person must also enter a password in order to access a service. Once the user has logged on the operating system will often use a (short) user identifier, e.g. an integer, to refer to them rather than their user name. User names can usually be any short string of alphanumeric characters. Common choices are first name, initials, or some combination of first name, last name, initials and an arbitrary number. User names are often assigned by {system administrators} according to some local policy, or they may be chosen by the users themselves. User names are often also used as mailbox names in electronic mail addresses. (1997-03-16)

Википедия

UAProf

The UAProf (User Agent Profile) specification is concerned with capturing capability and preference information for wireless devices. This information can be used by content providers to produce content in an appropriate format for the specific device.

UAProf is related to the Composite Capability/Preference Profiles Specification created by the World Wide Web Consortium. UAProf is based on RDF.

UAProf files typically have the file extensions rdf or xml, and are usually served with mimetype application/xml. They are an XML-based file format. The RDF format means that the document schema is extensible.

A UAProf file describes the capabilities of a mobile handset, including Vendor, Model, Screensize, Multimedia Capabilities, Character Set support, and more. Recent UAProfiles have also begun to include data conforming to MMS, PSS5 and PSS6 schemas, which includes much more detailed data about video, multimedia, streaming and MMS capabilities.

A mobile handset sends a header within an http request, containing the URL to its UAProf. The http header is usually X-WAP-Profile:, but sometimes may look more like 19-Profile:, WAP-Profile: or a number of other similar headers.

UAProf production for a device is voluntary: for GSM devices, the UAProf is normally produced by the vendor of the device (e.g. Nokia, Samsung, LG) whereas for CDMA / BREW devices it's more common for the UAProf to be produced by the telecommunications company.

A content delivery system (such as a WAP site) can use UAProf to adapt content for display, or to decide what items to offer for download. However, drawbacks to relying solely on UAProf are (See also ):

  1. Not all devices have UAProfs (including many new Windows Mobile devices, iDen handsets, or legacy handsets)
  2. Not all advertised UAProfs are available (about 20% of links supplied by handsets are dead or unavailable, according to figures from UAProfile.com)
  3. UAProf can contain schema or data errors which can cause parsing to fail
  4. Retrieving and parsing UAProfs in real-time is slow and can add substantial overhead to any given web request: necessitating the creation of a Device Description Repository to cache the UAProfs in, and a workflow to refresh UAProfs to check for deprecation.
  5. There is no industry-wide data quality standard for the data within each field in an UAProf.
  6. The UAProf document itself does not contain the user agents of the devices it might apply to in the schema (Nokia put it in the comments).
  7. UAProf headers can often be plain wrong. (i.e. for a completely different device)

UAProf device profiles are one of the sources of device capability information for WURFL, which maps the UAProfile schema to its own with many other items and boolean fields relating to device markup, multimedia capabilities and more. This XML data is keyed on the User-Agent: header in a web request.

Another approach to the problem is to combine real-time derived information, component analysis, manual data and UAProfiles to deal with the actual device itself rather than the idealised representation of "offline" approaches such as UAProf or WURFL. This approach allows detection of devices modified by the user, Windows Mobile devices, Legacy devices, Spiders and Bots, and is evidenced in at least one commercially available system.

The W3C MWI (Mobile Web Initiative) and the associated DDWG (Device Description Working Group), recognising the difficulty in collecting and keeping track of UAProfs and device handset information, and the practical shortcomings in the implementation of UAProf across the industry have outlined specifications for a Device Description Repository, in the expectation that an ecosystem of such Repositories will eventually eliminate the need for local device repositories in favour of a web service ecosystem.