WO2014126492A1 - Method for profiling users in an information system - Google Patents
Method for profiling users in an information system Download PDFInfo
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- WO2014126492A1 WO2014126492A1 PCT/RU2013/000107 RU2013000107W WO2014126492A1 WO 2014126492 A1 WO2014126492 A1 WO 2014126492A1 RU 2013000107 W RU2013000107 W RU 2013000107W WO 2014126492 A1 WO2014126492 A1 WO 2014126492A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
Definitions
- the invention relates to the field of communications and informatics, and more specifically to a method for profiling users in an information system.
- the present invention can find application in the creation and operation of information systems for various purposes and departmental applications, including social networks, which produce, search, process and store information from various sources, including in industries such as social and entertainment networks and portals, trade, medicine, science and education.
- user profiling is a well-known and common task that is currently being solved in various ways.
- the essence of profiling is that the user of an informational Internet resource is not provided with all the content, but first of all what he may be interested in.
- semantic networks to solve the problem of profiling, it is proposed to use semantic networks, with the help of which topics that are interesting to the user are determined, and the proximity to them of a document is estimated.
- the basis of the present invention is the creation of a method for profiling users in an information system that fully takes into account the interests of the user regarding the information generated, transmitted and received by him in the form of text messages from other users and from providers of information content, and also allows you to take into account group interests, communications users with each other and their mutual reaction to information.
- the publisher receives a notification using the tools of this or another information system, with the specified frequency or as necessary for the selected user, build dictionaries, annotations and / or statistical patterns of data of those users who are associated with the selected user by the mentioned links, comments and information resources, while receiving favorite user profile.
- the proposed method solves the above problem of the invention and is characterized by fundamental novelty, since in full the measure takes into account the interests of the user regarding the information generated, transmitted and received by him in the form of text messages from other users and from providers of information content, and also allows you to take into account group interests, user relationships with each other and their mutual reaction to information.
- the system works as follows - users 1, 2 and 3 have an information resource open for access to all or part of other users, which is user data that changes over time, which in this case represents the user's text data (blocks 4, 5, 6, 7 and 8), the connections of user 1 with other users (2 and 3), shown by curly two-way arrows, comments of user 1 on the text data of other users (blocks 9 and 10), user-selected information resources x users (2 and 3), information resources of users 2 and 3 (blocks 7 and 8), upon updating of which user 1 receives an alert by means of the information system, while building dictionaries, annotations with the specified frequency or as necessary for the selected user 1 and / or statistical data patterns (blocks 4-10) of those users who are associated with the selected user by the mentioned links, comments and information resources, while receiving profile 11 of the selected user 1.
- This method allows you to fully take into account the interests of the user regarding the information generated, transmitted and received by him in the form of text messages from other users and from providers of information content, and also allows you to take into account group interests, user relationships with each other and their mutual reaction to information.
- information services and information exchange are becoming individual and targeted, taking into account the current needs of users.
- the invention also has a high socio-prognostic potential.
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Abstract
The invention relates to the field of communication and information science, and more particularly to a method for profiling users in an information system. The present invention can be used in the creation and use of information systems for various purposes and for institutional use, including social networks, in which data from various sources is generated, searched, processed and stored, inter alia in such fields as social and recreational networks and portals, commerce, medicine, science and education. The proposed method makes it possible to take into full consideration a user's interests with respect to information generated, transmitted and received by said user in the form of text messages from other users and from suppliers of informational content, and also makes it possible to take into consideration group interests, interrelations between users and their mutual reaction to information. Furthermore, information services and information exchange are rendered personal and targeted, taking into account the current needs of users. The invention also has considerable socio-predictive potential.
Description
СПОСОБ ПРОФИЛИРОВАНИЯ ПОЛЬЗОВАТЕЛЕЙ В METHOD FOR PROFILING USERS IN
ИНФОРМАЦИОННОЙ СИСТЕМЕ INFORMATION SYSTEM
ОПИСАНИЕ DESCRIPTION
Изобретение относится к области связи и информатики, а более конкретно - к способу профилирования пользователей в информационной системе. The invention relates to the field of communications and informatics, and more specifically to a method for profiling users in an information system.
Настоящее изобретение может найти применение при создании и эксплуатации информационных систем различного назначения и ведомственного применения, включая социальные сети, в которых производится порождение, поиск, обработка и хранение информации из различных источников, в том числе, и в таких отраслях, как социальные и развлекательные сети и порталы, торговля, медицина, наука и образование. The present invention can find application in the creation and operation of information systems for various purposes and departmental applications, including social networks, which produce, search, process and store information from various sources, including in industries such as social and entertainment networks and portals, trade, medicine, science and education.
В настоящее время существует настоятельная потребность фильтрации различной информации, адресованной для пользователей различных информационных систем, в зависимости от их потребностей, а также содержания порожденной, переданной и принятой ими информации. Currently, there is an urgent need for filtering various information addressed to users of various information systems, depending on their needs, as well as the content generated, transmitted and received by them.
Наиболее близким к заявляемому способу является МЕТОД ПРОФИЛИРОВАНИЯ ПОЛЬЗОВАТЕЛЕЙ ИНТЕРНЕТ-ПОРТАЛОВ СРЕДСТВАМИ SEMANTIC WEB, доступный по ссылке http.V/tomb- raider6.narod.ru/lib/ss/sbornik materialov/metod profilirovaniia polzovatele.html. Closest to the claimed method is the METHOD OF PROFILING USERS OF INTERNET PORTALS BY MEANS OF SEMANTIC WEB, available at the link http.V / tombraider6.narod.ru/lib/ss/sbornik materialov / metod profilirovaniia polzovatele.html.
Согласно этому способу профилирование пользователя - известная и распространенная задача, решаемая в настоящее время различными способами. Суть профилирования заключается в том, что пользователю информационного Интернет-ресурса предоставляют не весь контент, а в первую очередь то, в чем он может быть заинтересован. В данной работе для решения задачи профилирования предлагается использовать семантические сети, с помощью которых определяются тематики, интересные пользователю, и оценивается близость к ним того или иного документа. According to this method, user profiling is a well-known and common task that is currently being solved in various ways. The essence of profiling is that the user of an informational Internet resource is not provided with all the content, but first of all what he may be interested in. In this paper, to solve the problem of profiling, it is proposed to use semantic networks, with the help of which topics that are interesting to the user are determined, and the proximity to them of a document is estimated.
Однако данный способ имеет следующие существенные недостатки: However, this method has the following significant disadvantages:
1. Он не учитывает порожденной, переданной и принятой информации в виде текстовых сообщений от других пользователей. 1. It does not take into account generated, transmitted and received information in the form of text messages from other users.
2. Не позволяет учитывать групповые интересы, связи пользователей друг с другом и их взаимную реакцию на информацию.
В основу настоящего изобретения положена задача создания способа профилирования пользователей в информационной системе, который в полной мере учитывает интересы пользователя относительно порожденной, переданной и принятой им информации в виде текстовых сообщений от других пользователей и от поставщиков информационного контента, а также позволяет учитывать групповые интересы, связи пользователей друг с другом и их взаимную реакцию на информацию. 2. It does not allow to take into account group interests, user relationships with each other and their mutual reaction to information. The basis of the present invention is the creation of a method for profiling users in an information system that fully takes into account the interests of the user regarding the information generated, transmitted and received by him in the form of text messages from other users and from providers of information content, and also allows you to take into account group interests, communications users with each other and their mutual reaction to information.
Задачи изобретения решены и недостатки прототипа устранены в предлагаемом способе профилирования пользователей в информационной системе. The objectives of the invention are solved and the disadvantages of the prototype are eliminated in the proposed method for profiling users in an information system.
Согласно данному способу для пользователя, имеющего открытый для доступа всех или части других пользователей информационный ресурс, представляющий собой изменяемые с течением времени данные пользователя, который включает, но не ограничивает текстовые данные пользователя, связи данного пользователя с другими пользователями, комментарии пользователя на текстовые данные других пользователей, избранные пользователем информационные ресурсы других пользователей, информационные ресурсы других пользователей, при обновлении которых пользователь получает оповещение средствами данной или другой информационной системы, с заданной периодичностью или по мере необходимости для избранного пользователя производят построение словарей, аннотаций и/или статистических закономерностей данных тех пользователей, которые связаны с избранным пользователем упомянутыми связями, комментариями и информационными ресурсами, при этом получают профиль избранного пользователя. According to this method, for a user who has an information resource open for access to all or part of other users, which is user data that changes over time, which includes, but does not limit the user’s text data, user’s communication with other users, user comments on text data of others users, user-selected information resources of other users, information resources of other users, when updating which The publisher receives a notification using the tools of this or another information system, with the specified frequency or as necessary for the selected user, build dictionaries, annotations and / or statistical patterns of data of those users who are associated with the selected user by the mentioned links, comments and information resources, while receiving favorite user profile.
Технически целесообразно производить сравнение построенных словарей, аннотаций и/или статистических закономерностей данных тех пользователей, которые связаны с избранным пользователем с ранее сформированными для по меньше мере части тех же пользователей. It is technically advisable to compare the constructed dictionaries, annotations and / or statistical laws of the data of those users who are associated with the selected user with previously generated for at least part of the same users.
Не менее технически целесообразно построение словарей, аннотаций и/или статистических закономерностей данных тех пользователей, которые связаны с избранным пользователем и связанных с каждым из связанных пользователей. No less technically feasible is the construction of dictionaries, annotations and / or statistical patterns of data for those users who are associated with the selected user and associated with each of the associated users.
Предлагаемый способ решает сформулированную выше задачу изобретения и характеризуется принципиальной новизной, поскольку в полной
мере учитывает интересы пользователя относительно порожденной, переданной и принятой им информации в виде текстовых сообщений от других пользователей и от поставщиков информационного контента, а также позволяет учитывать групповые интересы, связи пользователей друг с другом и их взаимную реакцию на информацию. The proposed method solves the above problem of the invention and is characterized by fundamental novelty, since in full the measure takes into account the interests of the user regarding the information generated, transmitted and received by him in the form of text messages from other users and from providers of information content, and also allows you to take into account group interests, user relationships with each other and their mutual reaction to information.
Настоящее изобретение будет более детально раскрыто в нижеследующем подробном описании системы профилирования пользователей в информационной системе, содержащей трех пользователей (блоки 1 , 2 и 3), сформированные пользователем 1 текстовые записи 4, 5 и 6, сформированные пользователями 2 и 3 текстовые записи 7 и 8, комментарий 9 пользователя 1 на текстовую запись 7 пользователя 2 и комментарий 10 пользователя 1 на текстовую запись 8 пользователя 3 и профиль 1 1 пользователя 1. The present invention will be described in more detail in the following detailed description of a user profiling system in an information system containing three users (blocks 1, 2 and 3), user-generated 1 text records 4, 5 and 6, user-generated 2 and 3 text records 7 and 8 , comment 9 of user 1 on the text entry 7 of user 2 and comment 10 of user 1 on the text entry 8 user 3 and profile 1 1 user 1.
Система работает следующим образом - пользователи 1 , 2 и 3 имеют открытый для доступа всех или части других пользователей информационный ресурс, представляющий собой изменяемые с течением времени данные пользователя, который в данном случае представляет сосбой текстовые данные пользователя (блоки 4, 5, 6, 7 и 8), связи пользователя 1 с другими пользователями (2 и 3), показанные фигурными двухсторонними стрелками, комментарии пользователя 1 на текстовые данные других пользователей (блоки 9 и 10), избранные пользователем информационные ресурсы других пользователей (2 и 3), информационные ресурсы пользователей 2 и 3 (блоки 7 и 8), при обновлении которых пользователь 1 получает оповещение средствами информационной системы, при этом с заданной периодичностью или по мере необходимости для избранного пользователя 1 производят построение словарей, аннотаций и/или статистических закономерностей данных (блоки 4- 10) тех пользователей, которые связаны с избранным пользователем упомянутыми связями, комментариями и информационными ресурсами, при этом получают профиль 11 избранного пользователя 1. The system works as follows - users 1, 2 and 3 have an information resource open for access to all or part of other users, which is user data that changes over time, which in this case represents the user's text data (blocks 4, 5, 6, 7 and 8), the connections of user 1 with other users (2 and 3), shown by curly two-way arrows, comments of user 1 on the text data of other users (blocks 9 and 10), user-selected information resources x users (2 and 3), information resources of users 2 and 3 (blocks 7 and 8), upon updating of which user 1 receives an alert by means of the information system, while building dictionaries, annotations with the specified frequency or as necessary for the selected user 1 and / or statistical data patterns (blocks 4-10) of those users who are associated with the selected user by the mentioned links, comments and information resources, while receiving profile 11 of the selected user 1.
Данный способ позволяет полной мере учитывает интересы пользователя относительно порожденной, переданной и принятой им информации в виде текстовых сообщений от других пользователей и от поставщиков информационного контента, а также позволяет учитывать групповые интересы, связи пользователей друг с другом и их взаимную реакцию на информацию Кроме того, информационные услуги и информационный обмен становятся
индивидуальными и адресными с учетом текущих потребностей пользователей. Изобретение также имеет высокий социально-прогностический потенциал.
This method allows you to fully take into account the interests of the user regarding the information generated, transmitted and received by him in the form of text messages from other users and from providers of information content, and also allows you to take into account group interests, user relationships with each other and their mutual reaction to information. In addition, information services and information exchange are becoming individual and targeted, taking into account the current needs of users. The invention also has a high socio-prognostic potential.
Claims
1. Способ профилирования пользователей в информационной системе, в которой пользователи имеют открытый для доступа всех или части других пользователей информационный ресурс, представляющий собой изменяемые с течением времени данные пользователя, который включает, но не ограничивает текстовые данные пользователя, связи данного пользователя с другими пользователями, комментарии пользователя на текстовые данные других пользователей, избранные пользователем информационные ресурсы других пользователей, информационные ресурсы других пользователей, при обновлении которых пользователь получает оповещение средствами данной или другой информационной системы, заключающийся в том, что с заданной периодичностью или по мере необходимости для избранного пользователя производят построение словарей, аннотаций и/или статистических закономерностей данных тех пользователей, которые связаны с избранным пользователем упомянутыми связями, комментариями и информационными ресурсами, при этом получают профиль избранного пользователя. 1. A method for profiling users in an information system in which users have an information resource open for access to all or part of other users, which is user data that changes over time, which includes, but does not limit the text data of the user, the user's connection with other users, user comments on the text data of other users, user-selected information resources of other users, information resources of other users users, upon updating of which the user receives a notification by the means of this or another information system, which consists in the fact that, with a given frequency or as necessary for the selected user, dictionaries, annotations and / or statistical regularities of the data of those users associated with the selected user are built connections, comments and information resources, while receiving a profile of the selected user.
2. Способ по п.1 , отличающийся тем, что производят сравнение построенных словарей, аннотаций и/или статистических закономерностей данных тех пользователей, которые связаны с избранным пользователем с ранее сформированными для по меньше мере части тех же пользователей. 2. The method according to claim 1, characterized in that the constructed dictionaries, annotations and / or statistical laws of the data of those users that are associated with the selected user with previously generated for at least part of the same users are compared.
3. Способ по п.1 , отличающийся тем, что производят построение словарей, аннотаций и/или статистических закономерностей данных тех пользователей, которые связаны с избранным пользователем и связанных с каждым из связанных пользователей.
3. The method according to claim 1, characterized in that the construction of dictionaries, annotations and / or statistical patterns of data of those users who are associated with the selected user and associated with each of the associated users.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/RU2013/000107 WO2014126492A1 (en) | 2013-02-13 | 2013-02-13 | Method for profiling users in an information system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| PCT/RU2013/000107 WO2014126492A1 (en) | 2013-02-13 | 2013-02-13 | Method for profiling users in an information system |
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| WO2014126492A1 true WO2014126492A1 (en) | 2014-08-21 |
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| PCT/RU2013/000107 WO2014126492A1 (en) | 2013-02-13 | 2013-02-13 | Method for profiling users in an information system |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2391700C2 (en) * | 2005-04-20 | 2010-06-10 | Майкрософт Корпорейшн | Spaces of joint operation |
| US20100287282A1 (en) * | 2009-05-08 | 2010-11-11 | Maclaughlin Edwin John | System and method for providing a referral network in a social networking environment |
| RU114185U1 (en) * | 2011-04-27 | 2012-03-10 | Ян Александрович Мамойко | SOCIAL BUSINESS NETWORK |
| US20120072432A1 (en) * | 2010-09-20 | 2012-03-22 | Linkedin Corporation | Facet-based filtering of social network update data |
-
2013
- 2013-02-13 WO PCT/RU2013/000107 patent/WO2014126492A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2391700C2 (en) * | 2005-04-20 | 2010-06-10 | Майкрософт Корпорейшн | Spaces of joint operation |
| US20100287282A1 (en) * | 2009-05-08 | 2010-11-11 | Maclaughlin Edwin John | System and method for providing a referral network in a social networking environment |
| US20120072432A1 (en) * | 2010-09-20 | 2012-03-22 | Linkedin Corporation | Facet-based filtering of social network update data |
| RU114185U1 (en) * | 2011-04-27 | 2012-03-10 | Ян Александрович Мамойко | SOCIAL BUSINESS NETWORK |
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