WO2019017820A1 - Self-adapting interactive system for evaluating trust in content - Google Patents

Abstract

The invention relates to the field of evaluating Internet content using client-server technology. The claimed self-adapting interactive system for evaluating trust in content published by a user makes it possible to regulate the evaluation of thematic content according to a trust threshold established for the user, which is related to a rating of said user, wherein the evaluation is also based on how hard and/or how long a user depresses at least a button of an information input/output device and/or a touch-sensitive button and/or a touch-sensitive screen of a computing device. A rating and a professional rating are calculated for each user, which make it possible to evaluate user interests and/or preferences and also to reflect the level of trust in content published by the user and/or in evaluations made regarding thematic content. The system provides the possibility of setting trust thresholds with respect to user content, which are dependent on the rating and/or professional rating of the user in question.

Description

 SELF-SETTING INTERACTIVE EVALUATION SYSTEM

 CONFIDENCE TO CONTENT

Technical field

 The group of inventions relates to information exchange technologies, content assessment on the Internet using client-server technology.

The level of technology

 The popularity of the Internet and social networks has caused the movement of various interactions and tasks from the physical world into the digital world. For example, documents and folders that would have been shared years ago by sending out physical copies to other group members are now often processed electronically and transmitted digitally over the network. In such exchanges between group members, it is important to maintain a level of control over access by members of different groups, especially if the groups work together.

 In our daily life, we interact with people on a regular basis and form social groups, where we contact with different types of activities over time. However, in any social group, information is sometimes not communicated to all members of the group or remains confidential. Everyone in the social group knows about each other, and these groups grow and change over time.

 On the Internet, almost every person, looking through this or that content, wants to make sure whether it is possible to trust this content, whether the information is accurate in it. This electronic content can be evaluated in one way or another, which can increase its reliability and reliability.

 One way to evaluate this or that content on the Internet is to add “Likes”, “Dislikes”, that is, “Like” and “Dislike” buttons.

Psychologists claim that a person cannot feel completely happy in the absence of so-called “strokes” - actions aimed at emphasizing the significance of a person from the people around him. At the same time, it is not necessary to “stroke” a person physically, in order to recognize him as a person, it is enough for him to smile, make a compliment, listen carefully or approve him with a simple gesture. For example, nodding or shaking hands. People living in harmony with themselves, loved ones and loved ones do not experience a “hunger” for such “strokes”. That is why they lead an active lifestyle and do not sit at the computer for days. They do not need virtual acquaintances and conversations, and in real life they have many relatives, friends and acquaintances who do not allow them to feel lonely and useless to anyone. For this reason, we can safely say that everyone who spends a lot of time in social networks, learning a variety of information and trying to find different ways to establish virtual contacts, needs “stroking” or emotional warmth.

 Like - this is your "opinion" that you express in relation to the site, page, article, photos, friends and other users in social networks and in general any content presented on the Internet. According to programmers, likes create convenience for network users. By the number of likes that automatically appear near the button after pressing it, you can determine how many people expressed their positive attitude to what they read or saw.

 The more likes, the more interesting the information and picture. Therefore, pages with a large number of likes will look or read a lot more users than those where they are not. However, it is not always necessary to earn an interesting and useful article, to place original and funny pictures. Often, pages with lots of likes are an attempt to increase the rating of a page or site by cheating likes for a certain price. Today, on the Internet you can find a huge variety of various offers and services that are ready to “like” at a purely symbolic price.

 Thus, likes are not only needed by users who are hungry for “strokes”, they are most often used to increase traffic from social networks, which is favorably displayed on search engines and makes visitors want to join a group or view a page.

 However, what exactly will help the user to reliably assess whether to trust this or that "Like" and / or "Dislike"?

The prior art discloses solutions that disclose computer systems and methods for assessing the reliability of trust in content, depending on the user's rating, which contains many user characteristics, such as professional characteristics, interests, preferences, professional skills (see US patent 7,822,631 B1, published 10/26/2012; see application US 2012 / 310,747 Al, published 11/28/2002; see application US 2014 / 229,864 A1, published 08/14/2014).

At the same time, in the patent US 7,822,631 B1 and in the application US 2014 / 229,864 Al, technologies are disclosed that allow you to specify a threshold of trust that allows the user to affix and / or adjust the rating of thematic content, depending on the user's rating.

 In the application US 2012 / 310,747 Al disclosed technologies that allow sorting the results of search queries based on the comments and opinions of users who are trusted for the user who sent the request.

 However, these solutions do not provide opportunities for adjusting the assessment of thematic content using the pressing force and / or the duration of the user pressing on at least the touch screen.

 The state of the art technology known 3D Touch, disclosed in US patent 8,633,916 B2, published 01.21.2014, which uses the force and duration (longitude) of pressing the sensor (touch buttons, the surface of the touch screen) to control computing device applications.

 Also, in the application US 2012 / 105,367 Al, published on 03.05.2012, technologies are disclosed that also allow you to control various events, depending on the different pressing force on the sensor, and the pressing force on the sensor also depends on time.

 From the application US 2012 / 059,787 Al, published on 03/08/2012, it is known to control smiles by adjusting the force of pressure on the sensor, for example, the power buttons.

 From the application US 2011 / 227,872 Al, published 09/22/2011, it is known to adjust various interface elements depending on the force of pressure on the sensor.

 And also, in the application US 2008 / 024,459 Al, published January 31, 2008, technologies for adjusting the force of pressing the sensor for a specified time are disclosed.

However, solutions known in the engineering level do not provide opportunities for adjusting the rating of thematic content depending on the established trust threshold for the user, which is associated with the rating of this user and / or professional rating of the user, and the adjustment of rating is also carried out using the force of pressing and / or the duration of pressing the user to at least the touch screen. Thus, the problem of creating a method and a self-adjusting interactive system of assessing trust to the content provided by the user, which provide the ability to adjust the rating of thematic content, depending on the established trust threshold for the user, which is associated with the rating of the user and / or professional rating, remains. user, and the rating is carried out also depending on the pressing force and / or the duration of pressing the floor zovatelem on at least the button input / output information and / or touch pad and / or touch screen of a computing device.

 A way out of this situation may be to create such a self-adjusting interactive system for assessing the trust content that is provided by the user, as well as a method that provides the ability to adjust the rating of the thematic content, depending on the established trust threshold for the user, which is associated with this user rating and / or professional rating of the user, and the rating is also carried out depending on the pressing force and / or duration on the user has pressed at least the button of the input / output device and / or the touch button and / or the touch screen of the computing device.

DISCLOSURE OF INVENTION

 The technical result achieved when implementing the present invention is to create a self-adjusting interactive system for assessing the trust content that is provided by the user, providing the ability to adjust the rating of thematic content depending on the established trust threshold for the user, which is associated with this user rating and / or professional rating user, and the rating is also carried out depending on the force of pressing and / or selling lzhitelnosti user clicking on, at least, a button input / output information and / or touch pad and / or touch screen of a computing device.

This technical result is achieved due to the fact that the self-adjusting interactive system of assessing the trust to the content that is provided by the user using the client-server technology includes yourself:

 - access module that provides user access to the said system in case of successful authentication;

 - a user profile creation module associated with the access module;

 - a user device associated with an access module and a profile creation module, wherein the user device is intended for the user to enter information required for authentication, navigation through at least one web page, to enter user comments;

 - a user profile reliability assessment module associated with the profile creation module and a user device, wherein the reliability assessment module is intended for:

 - calculation of user rating and / or professional user rating, which allow to evaluate the interests and / or preferences of users, as well as reflect the level of trust in the content that is provided by the user and / or ratings affixed to the thematic content,

 at the same time, the user's rating includes at least the following: points received by the user for each comment,

 points for reporting danger

 points for the user's response to the question addressed to him,

 points for positive or negative evaluation by the user of information of another user,

 points for sharing information with other users on the social network and referring to it on another social network,

 points for indicating that the user likes another user;

 however, the professional rating includes at least the following:

 points received for user activity related to visiting thematic web pages,

 points received for the user having a thematic blog and / or thematic Internet channel,

 points indicating that the user has vocational education, academic rank and / or academic degree,

 points received for the experience of the user by profession,

points showing the number of mentions of the user in the media mass media and / or the Internet,

 - setting for the user a threshold of trust, which sets the ability for the user to affix and / or adjust rating of thematic content, depending on the rating and / or professional rating of this user, and rating is also carried out depending on the pressing force and / or the duration of the user pressing at least a button for an information input / output device and / or a touch button and / or a touch screen of a computing device;

 - a user interest analysis module associated with a user profile reliability assessment module, a user device and a user profile creation module, while the user interest analysis module is intended for analyzing user profiles, analyzing data obtained from web pages, and this analysis includes collecting information about visitors of web pages, their preferences in the selection of goods and / or services, assessment of the target audience of visitors, while based on the analysis of data obtained from web pages;

 - a database associated with a user interest analysis module, a user profile reliability module and a profile creation module, with the database for storing user profiles, user visits to web pages, user comments, user ratings and target audience of web pages users.

 In the private version, said user profile reliability assessment module is additionally configured to generate a list of users who received warnings from other users, while after receiving a certain number of warnings by the user, the reliability assessment module blocks this user and prohibits commenting on this page by this user .

 In yet another particular variant, the said module for assessing the reliability of a user profile is designed to lock the user permanently, if he has a large number of warnings.

 In another private variant, the mentioned module for assessing the reliability of a user profile is additionally intended to automatically check comments for the presence of offensive words or expressions.

In yet another particular variant, the system additionally contains an alert module associated with the user device and database, while the notification module is designed to notify the user about new comments from other users, notifications about points awarded by other users in response to comments from this user, and also to view comments from other users with which the user has interests.

 In another private variant, the mentioned notification module notifies users about new comments by means of the corresponding comment icon, which becomes transparent while scrolling a web page, and appears again if the user hovers over it or scrolls the web page up, while this comment icon displays the number of comments on a particular web page, and when you hover on an object on a given web page, the number of comments of this object.

 In another private variant, the system additionally has a user moderator device and a user supervisor device, with the ability to create comments on any web pages, mark web pages, and rate users.

 In another private embodiment, the system further comprises a user commenting activity rating module, wherein the user rating is additionally based on the user comment activity level.

 In yet another particular variant, grading of thematic content is also carried out by clicking on at least the Like / Dislink touch buttons by the user.

 In another private version, rating thematic content is also carried out depending on the time the user gazes on at least the Like / Dislink buttons.

 In yet another particular variant, the user’s hold time on at least the Like / Dislike buttons is determined by the virtual reality glasses worn by the user.

 In the private version, in the system, for the Like / Dislike buttons, icons are installed with images of at least funny and / or sad smiles.

In another private variant, when adjusting the degree of pressing and / or the duration of pressing and / or the time of keeping the user’s gaze on the Like / Dislike buttons, the indicated icons with images of funny and / or sad emoticons are displayed to the user in real time. In another private variant, the user's professional rating also depends on at least the number of users on social networks, the frequency of content updates in the user's thematic blog and / or on the user's Internet channel, the degree of publicity of the user, the age of the user.

 The technical result is also achieved due to the fact that the method of assessing trust in the content provided by the user through a self-adjusting interactive system using client-server technology, the method includes the steps of:

 - through the user device, the user enters information for authentication, and in case of successful authentication, the access module provides the user access to the said system;

 - through the user device, the user is provided with navigation through at least one web page, input of his comments, and through the user profile creation module, creates a user profile, provides the user with viewing comments from other users and / or his own, the number of subscribers, subscribed to by the user, information about the user, including at least the user name, user rating, which is the level of reliability of the user profile A;

 - using the user interest analysis module, user profiles are analyzed, data obtained from web pages are analyzed;

 - through the module assess the reliability of the user profile, carry out:

- calculation of the user's rating and / or professional rating of the user, which allow to evaluate the interests and / or preferences of users, as well as display the level of trust in the content that is provided by the user and / or estimates, put to the thematic content,

 at the same time, the user's rating includes at least the following: points received by the user for each comment,

 points for reporting danger

 points for the user's response to the question addressed to him,

 points for positive or negative evaluation by the user of information of another user,

points for sharing information with other users on the social network and referring to it on another social network, points for indicating that the user likes another user;

 however, the professional rating includes at least the following:

 points received for user activity related to visiting thematic web pages,

 points received for the user having a thematic blog and / or thematic Internet channel,

 points indicating that the user has vocational education, academic rank and / or academic degree,

 points received for the experience of the user by profession,

 points showing the number of times a user is mentioned in the media and / or the Internet,

 - setting for the user a threshold of trust, which sets the ability for the user to affix and / or adjust rating of thematic content, depending on the rating and / or professional rating of this user, and rating is also carried out depending on the pressing force and / or the duration of the user pressing at least a button for an information input / output device and / or a touch button and / or a touch screen of a computing device;

 at the same time, they store in the database: information about user profiles, stories of users visiting web pages, user comments, user ratings, preferences, interests of users, and the target audience of web page users.

 In the private version, using the user profile reliability assessment module, an additional list of users who received warnings from other users is formed, while after the user receives a certain number of warnings, using the reliability rating module, they block this user and prohibit any user from commenting pages.

In another private variant, with the help of the user profile reliability assessment module, the user is blocked on an ongoing basis, if he has a large number of warnings. In another private version, using the module for assessing the reliability of a user profile, they additionally automatically check comments for the presence of abusive words or expressions.

 In another private version, using the notification module, notify the user about new comments from other users, points received by other users in response to comments from this user, and also provide the user with the opportunity to view comments from other users with which his interests coincide.

 In another particular variant, the mentioned notification module notifies users about new comments by means of the corresponding comment icon, which becomes transparent when scrolling a web page, and reappears if the user hovers over it or scrolls the web page up, and this icon comments displays the number of comments on a particular web page, and when you hover on an object on a given web page, the number of comments on this object.

 In another private variant, the user device of the moderator and the user device of the supervisor are made with the possibility of creating comments on any web pages, affixing a rating to web pages, rating to users.

 In another private variant, the user's rating is additionally based on the level of commenting activity by the user.

 In yet another particular variant, grading of thematic content is also carried out by clicking on at least the Like / Dislink touch buttons by the user.

 In another private version, rating thematic content is also carried out depending on the time the user gazes on at least the Like / Dislink buttons.

 In yet another particular variant, the user’s hold time on at least the Like / Dislike buttons is determined by the virtual reality glasses worn by the user.

 In another one particular variant, icons with images of at least funny and / or sad smiles are set for the Like / Dislike buttons.

In another particular variant, icons with images of at least funny and / or sad smiles are set for the Like / Dislike buttons. In another private variant, the user's professional rating also depends on at least the number of users on social networks, the frequency of content updates in the user's thematic blog and / or on the user's Internet channel, the degree of publicity of the user, the age of the user.

 The technical result is also achieved due to the fact that the computer-readable storage medium containing computer-readable instructions that, when executed, implement the steps of the above methods.

Brief Description of the Drawings

 The essence of the claimed group of inventions is illustrated by drawings, where:

 FIG. 1 shows a block diagram of the claimed system according to an independent clause.

 FIG. 2 shows a block diagram of the claimed system containing additional modules.

 FIG. 3 shows the sequence of steps of the claimed method according to an independent clause.

 FIG. 4, FIG. Figure 5 shows a graphical representation of the comment icon in the right corner of the browser, as well as a representation of the small Renteres symbol icon at the end of the URL in the browser panel.

 FIG. 6, FIG. 7 display the comments icon.

 FIG. Figure 8 shows the approximate variants of the Renteres system windows, in case the user has clicked on the icon or bubble of comments.

 FIG. 9, FIG. 10 shows sample account creation windows in the system.

 FIG. Figure 11 shows sample windows that display user comments on a web page, while the user has the opportunity to add his own comment. And also, the user can edit his profile, and can also exit.

FIG. 12 shows an approximate version of the system screen containing the user profile interface, the number of people who follow the user, the number of people followed by the user, user rating, basic information about the user - image, name, nickname. FIG. 13 shows the profile editing options: changing personal data, image, name, status, etc.

 FIG. 14 shows exemplary system screens containing user subscribers and user subscriptions.

 FIG. 15 displays the ability to subscribe to another user you like, as well as the ability to read this user, view his subscribers and subscriptions.

 FIG. 16 shows an approximate version of calculating the user rating in the Renteres system.

 FIG. 17 displays an example of the images of funny and sad smiles.

 FIG. 18 displays an example of choosing a smiley image by holding on it the gaze of a user wearing virtual reality glasses.

 FIG. 19 shows an illustrative example of the implementation of the 3D Touch technology, which allows the system to determine the pressing force on a touchscreen display.

Description of embodiments of the group of inventions

Below is a description of exemplary variants of the claimed inventions with reference to the drawings. However, the present invention is not limited to these embodiments only. It will be obvious to those skilled in the art that other options fall within the scope of the claimed group of inventions described in the claims.

 As shown in FIG. 1, the claimed system comprises an access module 1, a user profile creation module 2, a user device 3, a user profile reliability assessment module 4, a user interest analysis module 5, a database 6. In this case, a user device 3 is connected to an access module 1, a profile creation module 2, the user interest analysis module 5 and the user profile reliability assessment module 4. The profile creation module 2 is additionally connected to the access module 2, the user interest analysis module 5, the reliability module STI user profile database 4 and 6. The module reliability evaluation user profile 4 is further connected to the user's interests analysis module 5 and a database 6. The user interest analysis module 5 is further connected with a database 6.

Additionally, as indicated in FIG. 2, the claimed system comprises a user device of the supervisor 8, a user device of the moderator 9, each of which is associated with a module for creating a user profile 2, a database 6, the user device 3 and the module for assessing the reliability of the user profile 4. The system also additionally contains a notification module 7, which is connected to the database 6 and the user device 3.

 The claimed system works with user devices 3, such as desktop computers, laptops, netbooks, personal assistants that can work with various web browsers, such as Chrome, Opera, Firefox, Ш, Safari. This system can also work with user devices, such as smartphones and computers with operating systems IOS and ANDROID, WINDOWS, etc.

 A user can have a registration and an account in one or several social networks, such as Classmates, Facebook, Twitter, VKontakte, etc. The user can be registered in all social networks and have his own profile. In these networks, each user can be a member of one or more groups, can create their own group, communicate with other users. All users can comment and view comments on any web page on the Internet without obtaining the relevant permission of the moderator of the web pages and / or websites viewed by the user, as well as make comments, such as photos, videos, music, etc. other users.

If the user does not have an account on the above social networks, he must register through the access module 1. At the same time, after registering the user, the profile creation module 2 of the claimed system creates the corresponding user profile. The module for creating user profile 2 is associated with access module 1 and is intended to provide the user with a view of: comments by other users and / or his own, the number of subscribers to which the user is subscribed, information about the user, including at least the user’s name, user rating, representing the level of user profile reliability. User profile contains information about the user: name, avatar, user rating, which includes the assessment of the user profile reliability. A user profile can also store a list of social networks in which a given user is registered, his preferences, a list of friends of this user, information about groups in which this user is a member, etc. Log in to the claimed system is a quick and convenient way. To do this, the user must log in from his user device 3 to one or more social networks, which automatically provides access to the declared system. Access Module 1 provides user authentication. Authentication can be carried out by any means known in the art, for example, by means of a login and password.

 After successful authentication, the user profile creation module 2 creates a user profile. A user profile is designed to provide the user with a view of: comments by other users and / or his own, the number of subscribers to which the user is subscribed, information about the user, including at least the user name, user rating, which represents the level of reliability of the user profile.

 After logging in, the user is given the opportunity to visit to browse, scroll (scroll) various web pages. The user can also comment on any web page, put ratings on web pages and users. To comment on web pages or visit web pages, the user can use the keys on the keyboard of his user device, or the mouse, etc.

 If a user has an account on social networks, then the claimed system can connect not only to his friends contained in the user profile, but also to other users who are not his friends. The system also allows you to contact social network users not by name, but by circle of interests, allowing the user to correspond with them (for example, Mercedes car lovers, etc.). Using this system for a smartphone or computer using social networks, a user can leave any comment on a topic of interest to that circle of users who are interested in this topic.

The system has a module for assessing the reliability of user profile 4, associated with the module for creating user profile 2 and user device 3. The module for evaluating the reliability of user profile 4 calculates the user's rating, assesses the thematic content of comments and posts by users, depending on the user rating and / or personal preferences users, selectively displays for users of certain comments, posts, information about products and / or services, based on the above assessment, and also carries blocking the ability to comment on users, depending on various parameters, which are discussed in detail later. User rating shows the level of confidence in user comments. The system, using the module for assessing the reliability of the user profile 4, generates a rating of R for each user (see Fig. 16), which allows to determine the trust and the seriousness of the comments of this user. The purpose of creating a user rating is to determine its reliability.

 User rating R is obtained on the basis of at least the following: points received by the user for each comment,

 points for reporting danger

 points for the user to answer the question addressed to him,

 points for positive or negative evaluation by the user of information of another user,

 points for sharing information with other users on the social network and referring to it on another social network,

 points for indicating by the user that he likes another user

 The specialist will understand that the rating may additionally include other ratings of user actions.

 In the particular case, the user’s R rating can be determined by the following formula:

 R = C + F + RE + L + U + S + FR, where:

 R (RAITING) is a rating indicating the level of users, i.e. its reliability, activity, etc.

C (GIVE COMMENTS) - points assigned to a user, if he went to his web page or another user’s web page, and responded to other users' comments or left a review (comment), etc. For example, Alice entered the social network Odnoklassniki or Facebook, after which she downloaded information about the recipe for a salad. Alice's friends or other users who are not Alice's friends left comments on this recipe. Alice can respond to one of the comments that interested her, or to all comments. For each review or comment to this user, i.e. Alice, the system assigns, for example, 2 points. It should be noted that a different number of points may be assigned for the same actions. This number of points or other number the system assigns points to each user who left a comment on the information of another user, i.e. Alice's note with a salad recipe.

 F (Flag) - points assigned to the user for reporting a hazard or problem. For example, the 14-year-old girl Alice comes in and sees that another user, Boris, has written that she is fat. This message is regarded as bad and dangerous. If Alice herself or another user, for example, Oksana, Alice's friend, sets the flag that the message is dangerous, and reports this to the administrator, then the user who left this flag, i.e. Alice or Oksana, gets, for example, eight points only if the other two users reported the same violation, for example, other users of Sveta and Ivan, who can be friends of Alice.

 The user, i.e. Boris, whose comment is marked with flags indicating that the message is wrong and dangerous, by more than two users, the rating is reduced by a certain number of points. In the private version, 15 points are deducted, i.e. a fine is given and a warning is issued. It should be noted that other points may be deducted. The above scores are given only as an example.

 RE (recoment) - points for the fact that the user answered the specific question addressed to him. For example, user Alice asked another user, Ivan, "Would he like to go to the museum on Tuesday next week?" Ivan answered this question "I can not, I am busy at work." For the left answer to the user, i.e. Ivan, accrued, for example, 2 points. It should be noted that any other number of points than that indicated above may be awarded.

 L (like) - the number of points for the fact that the user rated positively the information of another user. For example, user Oksana posted a photo of her friends on her webpage, taken during a walk with friends in the park. Her friend Alice liked this photo, and she put, for example, a “like” (like) badge on this photo. For this action, Alice adds, for example, 5 points. It should be noted that a different number of points may be added. The above scores are given only as an example. Thus, the system each time adds a certain number of points to the user whose comment received positive feedback.

U (unlike) - the number of points for the fact that the user rated negatively the information of another user. For example, Alice posted a photo with parties However, this picture did not like Oksana. She gives a negative comment or puts a “not like” icon (unlike). For this, the system subtracts, for example, 1 point to the user who received negative feedback, i.e. Alice

 S (Share) - the number of points for the fact that the user shared information in one of the social networks and refers to it in another social network. For example, Alice shared information about the quarterer in the Renteres system and then refers to it in another system, for example, In contact. Then users of another system can see this information posted in Renteres. For this action to the user, i.e. Alice, added, for example, 10 points. It should be noted that a different number of points may be awarded. The above figure is given as an example.

 FR (follow renteres) - the number of points for indicating that the user likes another user, while he can follow his comments. For example, Alice likes Ivan, she notes this on his web page. Now she can track Ivan’s web page and watch his web page, downloadable content, such as photos, videos, etc. For this action, the user Alice gets three points. This number of points can be awarded to the user for whom they are looking, i.e. Ivan.

 It should be noted that each user from the moment of registration in the system receives points, which are determined by the user’s frequent use of the system, which means that the more the user will use the capabilities of the declared system (comments, like / dislike buttons, report dangerous and offensive comments and etc.), the greater the reliability of this user. For example, a user who leaves a message online receives 2 points, which are added to his rating. Each user can get a total of, for example, 100 points when getting an account.

The module for analyzing the interests of the user 5 of the claimed system analyzes the user's web pages and user accounts. This module analyzes web pages visited and determines the web page itself, where the user viewed and / or views links on websites. This definition is based on the URL and / or any other element that the developer of this system selects automatically. Web page analysis includes an assessment of the popularity of data placed on websites, among other users, as well as the rating of web pages, depending on the number of positive responses about the goods or services offered on these websites.

 Through the aforementioned user interest analysis module 5, the rating of the popularity of goods and / or services and / or news presented on the websites is also carried out, depending on the aforementioned website rating and depending on the user rating.

 In the system, database 6 stores at least user profiles, user browsing history, user comments, user ratings, preferences data, user interests, preferences data, interests of the target audience of web pages users. It should be noted that information about user activity is stored in database 6 even if the user visits the website without posting comments.

 Alert module 7 alerts users about new comments from other users, about points awarded by other users, in response to comments from this user, and also allows the user to view comments from other users with which his interests coincide. This module 7 provides users with notifications about new comments of other users, notifications about various elevations such as, for example, “like”, “dislikes”, “Like”, “Dislink”, in response to the user comments on the selected interests for him . Alert module 7 gives the user the opportunity to see specific comments from other users who have visited this website (or this page of the website), as well as online to use the instant messenger of the downloaded program to communicate with other users. In addition, any information left by the user in the messenger of the downloadable program allows other users to read it at any time. Thus, the system allows the user to get specific answers to any questions raised by him.

It should be noted that the comments left by the user are not on the website with which they are associated, but are located in the database 6 of the claimed system. Consequently, the website moderator cannot influence the control of the messages left in any way, cannot delete or correct them. The system also provides that the user can leave the options for assessing the quality of goods and services provided by various suppliers, for example, online stores, on different pages of the website, using such evaluation options as, for example: Like, Dislike, Share, etc.

 The user does not necessarily have to be at a certain place on the website in order to comment and share their opinions. To do this, he, with his personal account, must connect to the system and view everything there that is of interest to him. However, regardless of the owners of the website, the user can leave comments and share their thoughts on the platform of this system.

 Now will be described the sequence of operation of the claimed system, which corresponds to the stages of the claimed method.

 As shown in FIG. 3 and previously mentioned with reference to FIG. 1, the user first goes through the social network authentication stage (stage 1, fig. 3). To do this, the user using the user device 3 enters his username and password to log into one of the social networks. If the user does not have registration in the social network, he must go through the registration stage (not shown in Fig. 3).

 In case of successful authentication in a social network, the access module 1 provides the user access to the comment exchange system (step 2 in FIG. 3). After successful authentication, the user goes to his web page or to another web page that the user has chosen. While on their own web page or other web page (step 3 in FIG. 3), the user can visit and view other web pages, enter their comments on other users’s web pages or the web pages of suppliers of goods or services if He was interested in certain content, video, photography or any discussion, for example, on the forum. The user can also view the comments of other users, view subscriptions and subscribers.

While on the network, the user interest analysis module 5 constantly analyzes the web pages of interest to each user, the objects (content, comments, etc.) placed on these web pages, user accounts (step 4 in Fig. 3). Also, the module for assessing the reliability of the user profile 4 calculates the rating of each user, which shows the level of confidence in the comments of this user (step 5 in Fig. 3). The method of calculating the rating is described in detail above. Based on the calculated rating, the reliability of the profile of each user is determined. Based on the obtained rating, module 4 can block comments from a user with a low rating, if at least one user with a high rating marks this user's comments as unreliable or offensive (step 6 in FIG. 3).

 The method described above will be illustrated in more detail with a specific example. User Lironl985, as shown in FIG. 9, 10, logs in by entering your username or password. After that, this user goes to his web page, where he can perform various actions. FIG. 11, FIG. 12 shows some of the features of the Lironl985 user in the system. He can leave comments, view other users' comments, see the number of comments on his posts, see the number of his subscribers, and the number of people who follow him (Fig. 14, Fig. 15).

 FIG. 16 shows an example of the Lironl985 user interface, which allows Lironl985 to see the number of users that are following it, the number of users it is following, the number of messages from this user who have been liked, the total number of comments by Lironl985.

 The user Lironl985, at his first login to the system, receives 100 rating points. Further, this user can increase or decrease his rating.

 For example, user Lironl985 gets 2 points to his rating, if he leaves a comment, gets 5 points to his rating, if he likes a user, gets 10 points if he shares information with another user. All these charges are carried out by the user reliability assessment module 4.

 As an example, consider the case when the user Lironl985, while navigating through the web pages of social networks, went to the website he was interested in about cars. On this website, Lironl985 left 10 comments, with answers to various questions, thus he added another 20 points to his rating of 100 points. Also, Lironl985 made a repost with reference to the website he liked on the automotive theme on the social network VKontakte, earning, thereby another 10 points to his rating. The user Lironl985 on the website about cars subscribed to updates by user Alex, and liked the comments, thereby obtaining another 10 points to his rating.

The user Alex, being a user of the Renteres system for about a month, has a rating of about 5500 points. Alex is one of the moderators of the Renteres system. He follows the comments of other users, especially “newbies”, such as Lironl985. After reviewing the comments and user profile of Lironl985, user Alex subscribed to updates for a “newbie” and liked him, thereby getting another 10 points.

 While navigating through the web pages, our “newcomer” Lironl985 went to a remote selection site for web-sites where Internet users can buy the clothes chosen for them. Lironl985 goes to the web pages of this website, where photos of women in clothes that are sold on this website are posted, and leaves one comment to Helen and one comment to Rita. Comments contain the information that the clothes in which women are placed in the photographs make them look fat. And also, Lironl985 puts ten marks "not like" in the photo Helen, five marks "not like" in the photo Rita. Further, the moderators Alex and Topu, having a rating of more than 5000 points, mark these messages with flags and view them. Moderators Alex and Topu recognized two comments marked as dangerous by the flags, and the Lironl985 rating decreased by another 30 points. Lironl985 receives 17 warnings from moderators Alex and Tony, and also loses 15 rating points for “do not like” marks. Thus, “thanks to” his actions, the user Lironl985 has already lost 45 points in the rating, and now his rating is 85 points. If this user continues to post negative and dangerous content, his rating may drop to even lower values, and he will receive even more warnings. After the user’s rating falls below, for example, 30 points, and the number of warnings he reaches, for example, 150, the Renteres system, and, in particular, the user profile 4 reliability assessment module will block the user Lironl985 and it will also have a ban on commenting any web page. At the same time, at least, the moderator Alex, with a high rating, will be able to decide on blocking the user Lironl985. Specialist in this level of technology, it is obvious that the lock can be carried out not only after one or two users specify, but also after any large number of users specify.

 When the number of warnings from the user Lironl985 is greater, for example, 200, then the Renteres system will block it permanently.

The system checks all comments for the presence of offensive words, words with profanity, abusive and abusive words. This The check is carried out on the basis of the dictionary 6 available in the system, database 6, which are continuously updated.

 The method of exchanging messages in the Renteres system additionally provides for the possibility for users to comment on the selection of certain goods or services presented on web pages.

 For example, the user Helen frequently visits the website, which presents an electronic version of the clothing catalog, as well as home goods. On this website, the user has the opportunity to select products in many ways: size, color, style, style, etc. User Helen has a rating of about 300 points, she has 10 subscribers and she is subscribed to 150 users on the website with a selection of clothes. Helen, navigating the website with a selection of clothes, leaves comments on certain articles of jumpers, blouses, skirts, children's products. For example, Helen liked the overalls, and she leaves a positive comment about him, and likes Rita, who posted a photo of her daughter in overalls. For this, the Renteres system increases the Helen user rating by 4 points. Now, Helen wants to share a photo of the user Rita on the Odnoklassniki social network, and gets another 10 points for such a repost. Thus, thanks to reviews about specific products, the system has the ability to prompt users when choosing a product. At the same time, the choice and evaluation of a product or service by one or another user will be controlled by other users with high trust ratings.

 In the Renteres system, through the user profile reliability assessment module 4, the following features are additionally implemented: evaluation of thematic content, comments and posts of users, depending on the user's rating and / or personal preferences of users, selective display for users of certain comments, posts, information about goods and / or services, based on the aforementioned assessment, blocking user comments for rated thematic content, if the user's rating is less than the threshold Vågå values. Thus, the system evaluates whether comments, thematic content, user posts are professional or not, depending on the user's rating.

We will show these possibilities on a concrete example. For example, the system has several moderators with a high rating, more than 5000, Alex and Topu. Moreover, Alex visits thematic web pages related to cars more, and the user Tony, is keen on fishing, and visits web pages with this subject. Since these users have proven themselves well in their favorite subject websites, they are certainly professionals in them and their comments can be trusted. These users can also evaluate this or that thematic content. For example, the user Alex leaves comments on a particular website, on his professional topics, and this opinion can be trusted. User Alex can check, rate, block comments of other users, in his subject, “cars”, and user Topu can carry out all the same actions with user comments in the subject of “fishing”. The user enters the system Lironl985, which is a “newcomer” in the topics “cars”, “fishing”. His comments and ratings are closely watched by Alex and Tony. Lironl985 logged in and got 2 points for his rating. Further, Lironl985 visits websites related to automotive topics, leaving comments there. But since his rating is still low, his comments are not professional. And also, if the “behavior” of the user Lironl985, while commenting on the thematic websites, leads him to the fact that his rating falls below the threshold value of 25 points, then his further comments on this or that thematic content will be blocked by the system. However, the opposite situation is also possible, with an increase in the rating of this user, his comments, posts on this or that topic will increase the confidence of moderators in this topic, and hence the confidence of other users.

 The module 4 user profile reliability assessment module also implements the ability to calculate in addition to the user rating, also his professional rating, which allow to evaluate the interests and / or preferences of users, as well as display the level of trust in the content provided by the user and / or ratings affixed to the thematic content.

 In the Renteres system, there was an additional opportunity to assess the content provided by the user, together with the calculation of the user’s rating R, namely, by calculating the professional rating of Pg. Examples of such content can be comments, posts, reposts, and any other manifestations of the opinions of users of this system.

Professional rating of Pg includes, at least, the following: points received for user activity related to visiting thematic web pages, points received for the user having a thematic blog and / or thematic Internet channel,

 points indicating that the user has vocational education, academic rank and / or academic degree,

 points received for the experience of the user by profession,

 points reflecting the number of times a user is mentioned in the media and / or the Internet.

 In the particular case, the user's Pg rating can be determined by the following formula:

 Pr = Ta + Tb + E + p + Rm, where:

 Pr (PROFESSION RATING) - a rating that allows to evaluate the interests and / or preferences of users, as well as showing the level of trust to the user, i.e. reliability of thematic content presented to them.

 Ta (THEMATIC ACTIVITY) - points received for user activity associated with visiting certain thematic web pages, blogs, etc. For example, Alice is interested in thematic web pages, blogs, groups in social networks or other communities focused on thematic content in the following areas: Cooking, Embroidery, Flowers. That is, for example, these subjects are assigned to Alice. For each visit to these particular thematic web pages, user Alice will receive 5 points. And for visiting less popular for this user web pages that are not assigned topics for this user will be awarded at 1 point.

 Tb (THEMATIC BLOG / CHANNEL) - points assigned to the user having a thematic blog and / or thematic Internet channel. For example, user Alice has her own blog on Cooking, and she also has her own Internet channel on Embroidery. For Alice having her own blog and Internet channel, she earns 5 points in the system. In case these blogs and / or Internet channels are related to Alice’s popular topics, i.e. they are assigned to her topics, she is additionally assigned another 1 point for each thematic blog and / or Internet channel.

E (EDUCATION) - points showing the user's professional education, academic title and / or academic degree. If Alice has a higher education, Alice receives 10 points. In the case of assigning Alice a degree, for example, a candidate of sciences in any assigned to her subject, she is assigned another 15 points. In the case of a candidate degree on any other subject, assigned 10 points.

 P (PROFESSION EXPERIENCE) - points received for the user's experience in the profession. For example, if Alice has work experience in any profession, she is additionally charged with a number of points proportional to the number of years she worked in this profession. For example, Alice worked as a designer of bouquets for 2 years, and this area is connected with the theme Alisa attached to Alice, then she will be awarded 2 * 5 = 10 points. And if Alice worked for 3 years as a clothing sales manager, then she will be awarded 3 * 2 = 6 points.

 Rm (REFERENCES ΓΝ MEDIA) - points, reflecting the number of references to a user in the media and / or the Internet. For each mention of the user Alice in social networks and / or at the repost, she earns 2 points. If such a mention is related to the subject assigned to Alice, she will be awarded 3 points. If such a mention contains a negative review, then the system will subtract 2 points from the user's professional rating.

 It should be noted that the number of points for the specified parameters can be set by the system additionally and can be any other number of points than the above.

 And also, in the private version, the user's professional rating may also depend on at least the number of users on social networks, the frequency of content updates on the user's thematic blog and / or on the user's Internet thematic channel, the degree of publicity of the user, the age of the user.

 Parameters that display the number of subscribers, the frequency of content updates, speak about the degree of popularity of a blog and / or channel and / or user’s page on social networks. The degree of publicity, for example, can be assessed by the number of reposts of various posts and / or user comments in other social networks.

Parameters that reflect the user's age may additionally be interesting for user evaluation. How much should you trust comments, posts, which leaves, for example, a small child? A flag may be provided in the system that reflects the age of the user who posted any thematic content so that users are guided by it as a kind of indicator. It will be clear to the skilled person that the professional rating may additionally include other ratings of user actions.

 We show these additional features by example.

 User Kate is a moderator and has a rating in the system of 5500 points. At the same time, the system estimated that the most popular topics for this user are Baking, Drawing. Kate's professional rating is 300 points. Now Kate user wants to evaluate whether to trust the comments of the user Ura, who has a rating of 4000 points, and his professional rating is 50 points. Kate begins to follow Ura, assessing what the dynamics of changes in the values of his ratings. Ura is interested in the topic of Computers, but his rating in this area falls due to the fact that he leaves negative comments on posts that are presented by a professional in this field, by Egor with a professional rating, 1000 points. From this, the Kate user concludes that you should not trust the content in the Computers topic provided by the Ura user.

 For the user in the system can be set as the threshold of confidence relating to the user rating, and the threshold of confidence relating to the professional rating of the user. These trust thresholds can be set when the system is configured using the user profile 4 reliability assessment module.

 These thresholds of trust set the ability for the user to affix and / or adjust the grading of thematic content, depending on the rating and / or professional rating of this user. Moreover, the user can make an assessment, depending on the pressing force and / or the duration of the user pressing on at least the button of the information input / output device and / or the touch button and / or the touch screen of the computing device.

 3D Touch technologies that allow you to affix and / or adjust the rating, in this case, Likes / Dislays are shown in Fig. 19.

 Below we give a number of examples of using 3D Touch technology, which will help to significantly simplify work, for example, with the iOS operating system for iPhone 6s owners.

A new function that appeared with the advent of 3D Touch is the ability to call up the context menu of applications by strongly pressing the icon. It works with both native and third-party applications - for example, in this way you can see the latest tweets in Tweetbot or go to the list of contacts in the Phone.

 The touch screen, as the only input device in previous iPhone models, limits the ability to control characters or objects, but 3D Touch allows you to significantly expand the arsenal of gamers. For example, in Badland 2, with a strong touch, you can speed up a character, and earlier this required several quick tapes.

 Managing a regular web browser is also significantly simplified with 3D Touch — an enhanced click on the link opens the preview menu, and a similar operation with folders displays their contents.

 The owners of the iPhone 6s can view mail, iMessage, SMS messages without opening them (respectively, without marking them as read), just click on the incoming message harder and keep your finger on the screen. In addition, you can call a context menu with various options by clicking on the subscriber's avatar in the same way.

 In many iOS applications, a swipe from the left edge of the screen is used to return to the previous screen or page. A similar gesture with the force on the iPhone 6s causes a multitasking menu, which is very convenient, especially in the case of the overall iPhone 6s Plus.

We will show these new features of the Renteres system using an example. User Bob has a rating of 1000 points, a professional rating of 300 points, the subjects assigned to him are Fishing, Weapon. The allowable trust threshold for a user’s rating, in this particular variant, is 25 points, and the allowable trust threshold for a professional rating, also in this particular variant, is 10 points. The user Bob in the system is professional in his subject matter, and can also regulate the rating, for example, comments on his professional topics, by other users, with less, both professional rating and user rating. For example, Bob saw that Alice put a Like in response to a post related to the topic of Fishing in the suburbs, in a particular place. However, user Alice is not a professional in this field, her likes shouldn’t be trusted much. And, in this case, Bob can adjust this affixed flag, giving him a flag of trust, reflecting the degree of confidence in this likes, or Bob can, for example, change the degree of likes, lowering it. Examples of the pictogram showing the degree of likes are shown in FIG. 17. Thus, the possibility of adjusting the rating of thematic content can be realized.

 Bob can adjust the degree of Laika / Dislike, for example, by pressing the corresponding touch buttons of his smartphone or, for example, keeping his eyes on the corresponding buttons, examples of which are shown in FIG. 17

 In the system, the force of clicking on the Like / Dislike touch buttons also means choosing one or another smile. At the same time, the user visually sees various emoticons, meaning different degrees of likes / dislikes, when performing such pressing and / or holding a look. This feature brings additional convenience for the user when working with the system.

In the system, the time to hold a gaze on a particular image of a Laika / Dislike can mean its selection. For example, keeping the user's gaze on the image of Nal's smiley can mean his choice.

 Bob can also select Like / Dislike levels using virtual reality glasses, as shown in FIG. 18.

 In the system, the module for assessing the reliability of a user’s profile 4 can be rated with thematic content submitted by the user, for example, only depending on the user's professional rating. This is necessary for an objective assessment of trust in one or another content.

For example, user YPA has a professional rating in the system, 6000 points, and the subject assigned to it is Sport. A newcomer to this topic, the Roma user is interested in whether it is possible to trust the content presented in the thematic blog of the user Irina, as well as her Likes / Disliks, affixed content on this topic. Roma monitors Irina's actions on the Internet and analyzes how her professional rating changes. Irina's professional rating increases every day, because She is a very active blogger, her blog is updated daily several times. In addition, Roma looks at comments from other users with a lower professional rating and also sees that their responses about the user Irina in the subject of Sport are only positive. Thus, Roma concludes that the content submitted by Irina on Sport is trustful, verified and reliable. Roma can put on the Irina posts as large as Laiki, called Super Likes, to help others users of this system also appreciate the fact that Irina is a trusted, trusted user in the subject of Sport.

 The system can be provided and the opposite situation. When Super Dislik ratings can be entered, if the thematic content of the user is not to be trusted, it is not trusted.

 At the same time, professionals in specific topics will be able to adjust these marks, for example, by holding your finger on the desired touch button of your smartphone or tablet for a specified time.

 So, if the user presses the Like button for a long time and strongly - this will correspond to the highest rating. By clicking on Like, the user sees online as he changes and determines when he needs to stop the action. Conversely, if the visitor takes a long and hard press on Dislike, this will correspond to the worst rating.

 The interest analysis module 5 in the Renteres system is additionally configured to collect statistical information, including at least information on the number of comments left by users in relation to goods and / or services, thematic content. Also, it is possible to collect advanced statistical information, including at least information about the age categories in which particular goods and / or services are popular, thematic content, information about which regions in the country and / or countries prefer this or that goods and / or services.

 For example, in the age category of users from 18 to 25 years, the most popular areas for search queries on the Internet are topics related to the field of education, science, these can be various term papers, computational graphic works, materials for exam preparation. These subject requests may differ, depending on the direction of specialization of future specialists, whether it be engineering, medical, philosophical, etc.

Top user is interested in coursework in physics. Having entered the search engine, he enters search queries related, for example, to a specific section of physics - “thermodynamics”. He is given a huge number of sites on this topic. The Renteres system is built in such a way that when you click on the program icon *, a window pops up with comments from other users on this topic, but made by them on this and other web site pages. Using the Renteres system, the Topu user can sort the comments in the recent tab. comments on some criterion, and can also bookmark, for example, “term papers on thermodynamics” and the system will collect all user comments from all pages of various sites on the Internet that relate to the topic specified by the user. The system generates user reviews, made on different websites, regarding term papers on thermodynamics, and groups them for the user in a convenient form. As a result, the Top user is given the opportunity to read other users' reviews on a topic of interest and go directly from the Renteres system to that particular object on the site that another user has commented on.

 Another example of the convenience of using the Renteres system is the following. For example, a trusted user, Kate, commented on the bike model that was presented on the themed bike website. After reading this news, our user Lironl985 can view this page of the site with the object of interest, without using other search engines. All he needs to do is just click the link to the site in the Renteres system, which was commented by another user, for example, Kate. Thus, each user of the Internet can significantly reduce the time to search for a particular product and / or information by studying the opinions of other users made on different sites on the product and / or information of interest to the user. Each Internet user is given the opportunity to not only form communication with other users grouped by interests, but also to choose the product he needs by studying the opinions of other users. When visiting any sites, Renteres system allows any Internet user to bookmark the pop-up system window, on any topic of interest, while the notification system will accompany the user while browsing any pages and notify him of new subscribers, comments, ratings, etc.

 Renteres' messaging method also includes the ability to promote websites on search engines by evaluating user comments on products and services on these websites. This function of the system is implemented through a module for analyzing user interests 5, and is expressed in a direct relationship between the number of positive comments on products or services presented on websites and its ranking in search engines.

Consider this system function by example. The rating of websites in the Renteres system depends on user comments on products or services posted on these websites. For example, the user Helen, whose rating in the system is 400 points, in the process of navigating the websites, browses several websites united by the theme “women's clothing”. For Helen, the primary criteria for choosing a website for remote ordering of clothes are free delivery of goods, a reasonable price for it. For these two important parameters for her, two websites approached her. She leaves positive comments on these two websites, in which she gives her opinion about the products, as well as why she chooses these two websites. At the same time, the system stores the URLs of these two websites with the theme of "women's clothing", associating them with positive user comments. Also, several other users, Rita, Kate, also make a choice in favor of these two mentioned websites for ordering clothes over the Internet. And thus, the ranking of these websites is increasing. And when any search engine user forms a search query that contains the words “women's clothes at low prices”, “women's clothes with free delivery”, the user is provided with selected Helen websites, i.e. they are displayed "higher" than others, because they have a higher rating.

 Similarly, the provision of certain services via the Internet can be considered. For example, a user of Rita, while browsing the Internet, accesses the search engine using approximate queries: “providing hairdressing services at home”, “cheap hair cutting in Moscow”, “good inexpensive hairdresser”. As a result of this search, she will get websites that have high trust ratings, based on positive user feedback, for example, about the quality of hairdressers, the cost of their services, etc. This feature allows you to sort web sites based on people's comments, their experience, which is an informative and objective criterion for choosing a particular service.

 Thus, the system allows to display in the TOP websites with a large number of positive comments about the goods or services placed on them.

Embodiments of the present invention may be implemented using software, hardware, software logic, or a combination thereof. In an embodiment, the program logic, software, or instruction set is stored on one of various conventional computer-readable media. In the context of this document, “computer readable medium” may be any medium or means that may contain, store, transmit, distribute or transport instructions for their use. a system for executing instructions, equipment or a device, such as a computer. A computer-readable medium may include a non-volatile computer-readable storage medium, which may be any medium or medium containing or storing instructions for use by the instruction execution system, equipment or device, such as a computer, or for use in communication therewith.

 In one embodiment, a user interface circuit or circuit configured to provide at least some of the control functions described above may be proposed.

 If necessary, at least part of the various functions discussed in this specification can be performed in a different order than and / or simultaneously with each other. In addition, if necessary, one or more of the functions described above may be optional or may be combined.

 Although the independent claims describe various aspects of the present invention, other aspects of the invention include other combinations of features from the described embodiments and / or dependent claims, along with features of the independent claims, and the combinations mentioned are not necessarily explicitly stated in the claims.

Claims

CLAIM 1. A self-adjusting interactive system for assessing the trust in content provided by the user, using client-server technology, including:  - access module that provides user access to the said system in case of successful authentication;  - a user profile creation module associated with the access module;  - a user device associated with an access module and a profile creation module, wherein the user device is intended for the user to enter information required for authentication, navigation through at least one web page, to enter user comments;  - a user profile reliability assessment module associated with the profile creation module and a user device, wherein the reliability assessment module is intended for:  - calculation of user rating and / or professional user rating, which allow to evaluate the interests and / or preferences of users, as well as reflect the level of trust in the content that is provided by the user and / or ratings affixed to the thematic content,  at the same time, the user's rating includes at least the following: points received by the user for each comment,  points for reporting danger  points for the user's response to the question addressed to him,  points for positive or negative evaluation by the user of information of another user,  points for sharing information with other users on the social network and referring to it on another social network,  points for indicating that the user likes another user;  however, the professional rating includes at least the following:  points received for user activity related to visiting thematic web pages, points received for the user having a thematic blog and / or thematic Internet channel  points indicating that the user has vocational education, academic rank and / or academic degree,  points received for the experience of the user by profession,  points showing the number of times a user is mentioned in the media and / or the Internet,  - setting for the user a threshold of trust, which sets the ability for the user to affix and / or adjust rating of thematic content, depending on the rating and / or professional rating of this user, and rating is also carried out depending on the pressing force and / or the duration of the user pressing at least a button for an information input / output device and / or a touch button and / or a touch screen of a computing device;  - a user interest analysis module associated with a user profile reliability assessment module, a user device and a user profile creation module, while the user interest analysis module is intended for analyzing user profiles, analyzing data obtained from web pages, and this analysis includes collecting information about visitors of web pages, their preferences in the selection of goods and / or services, assessment of the target audience of visitors, while based on the analysis of data obtained from web pages;  - a database associated with a user interest analysis module, a user profile reliability module and a profile creation module, with the database for storing user profiles, user visits to web pages, user comments, user ratings and target audience of web pages users.  2. The system of claim 1, wherein said module for assessing the reliability of a user profile is additionally configured to generate a list of users who have received warnings from other users, while after receiving a certain number of warnings by the user, the module for evaluating reliability blocks this user and prohibits commenting by this user of any page. 3. The system according to claim 2, in which the said module for assessing the reliability of the user profile is designed to lock the user permanently, if he has a large number of warnings. 4. The system of Clause 3, in which the said module for assessing the reliability of a user profile is additionally intended to automatically check comments for the presence of offensive words or expressions.  5. The system according to claim 4, additionally contains a notification module associated with the user device and the database, while the notification module is designed to notify the user about new comments from other users, notifications about points given by other users, in response to comments from this user, It is also intended for viewing comments of other users with which the user has the same interests.  6. The system of claim 5, in which said notification module notifies users of new comments by means of a corresponding comment icon, which becomes transparent when scrolling a web page, and reappears if the user moves the cursor or scrolls the web page up , while this comment icon displays the number of comments on a particular web page, and when you hover over an object on a given web page, the number of comments of this object.  7. The system according to one of paragraphs 1-6, additionally contains the user device of the moderator and the user device of the supervisor, made with the possibility of creating comments on any web pages, affixing a rating to web pages, rating users.  8. The system of claim 6 further comprises a module for evaluating the activity of commenting by the user, and the user's rating is additionally based on the level of activity of commenting by the user.  9. The system of claim 8, in which rating of thematic content is also carried out by pressing the user to at least the Like / Dislink touch buttons.  10. The system of claim 9, in which rating of thematic content is also carried out depending on the time the user gazes on at least the Like / Dislink buttons.  11. The system of claim 10, in which the user's hold time on at least the Like / Dislike buttons is determined by the virtual reality glasses worn by the user. 12. The system according to Clause I., in which also for the Like / Dislike buttons there are icons with images of at least funny and / or sad smiles. 13. The system indicated in paragraph 12, in which also when adjusting the degree of depression and / or duration of depression and / or time of retention of the user's gaze on the Like / Dislike buttons, the indicated icons with images of funny and / or sad smiles are displayed to the user in real time .  14. The system of claim 13, in which the user's professional rating also depends on at least the number of users on social networks, the frequency of content updates on the user's thematic blog and / or on the user's Internet channel, the degree of publicity of the user, the age of the user .  15. A method of assessing trust in content that is provided by a user through a self-adjusting interactive system using client-server technology, the method including the steps of:  - through the user device, the user enters information for authentication, and in case of successful authentication, the access module provides the user access to the said system;  - through the user device, the user is provided with navigation through at least one web page, input of his comments, and through the user profile creation module, creates a user profile, provides the user with viewing comments from other users and / or his own, the number of subscribers, subscribed to by the user, information about the user, including at least the user name, user rating, which is the level of reliability of the user profile A;  - using the user interest analysis module, user profiles are analyzed, data obtained from web pages are analyzed;  - through the module assess the reliability of the user profile, carry out: - calculation of the user's rating and / or professional rating of the user, which allow to evaluate the interests and / or preferences of users, as well as display the level of trust in the content that is provided by the user and / or estimates, put to the thematic content,  at the same time, the user's rating includes at least the following: points received by the user for each comment,  points for reporting danger  points for the user's response to the question addressed to him, points for positive or negative user rating information another user  points for sharing information with other users on the social network and referring to it on another social network,  points for indicating that the user likes another user;  however, the professional rating includes at least the following:  points received for user activity related to visiting thematic web pages,  points received for the user having a thematic blog and / or thematic Internet channel,  points indicating that the user has vocational education, academic rank and / or academic degree,  points received for the experience of the user by profession,  points showing the number of times a user is mentioned in the media and / or the Internet,  - setting for the user a threshold of trust, which sets the ability for the user to affix and / or adjust rating of thematic content, depending on the rating and / or professional rating of this user, and rating is also carried out depending on the pressing force and / or the duration of the user pressing at least a button for an information input / output device and / or a touch button and / or a touch screen of a computing device;  at the same time, they store in the database: information about user profiles, stories of users visiting web pages, user comments, user ratings, preferences, interests of users, and the target audience of web page users.  16. The method according to claim 15, wherein, using the user profile reliability assessment module, a list of users who received warnings from other users is additionally formed, while after the user receives a certain number of warnings, using the reliability assessment module, block this user and provide prohibition on commenting by this user of any page. 17. The method according to clause 16, in which, using the module to assess the reliability of the user profile, block the user on an ongoing basis, if a lot of warnings.  18. The method according to claim 17, in which, with the help of the user profile reliability assessment module, the comments are additionally automatically checked for the presence of offensive words or expressions.  19. The method according to p, in which, using the module alerts, notify the user about new comments from other users about the points put by other users, in response to comments from this user, and also provide the user the ability to view comments from other users with whom his interests coincide.  20. The method of claim 19, wherein using the notification module, notifies users of new comments by means of a corresponding comment icon, which becomes transparent while scrolling a web page, and reappears if the user moves the cursor or scrolls the web page. page up, while this comment icon displays the number of comments on a particular web page, and when you hover on an object on a given web page, the number of comments of this object.  21. The method according to one of p. 16-20, in which the user device moderator and user device supervisor, made with the ability to create comments on any web pages, affixing a rating of web pages, rating users.  22. The method of claim 20, wherein the user rating is further based on the level of commenting activity by the user.  23. The method according to claim 22, wherein the rating of thematic content is also carried out by pressing the user to at least the Like / Dislike touch buttons.  24. The method according to claim 23, wherein the grading of thematic content is also carried out depending on the time of keeping the user’s gaze on at least the Like / Dislink buttons.  25. The method according to claim 24, wherein the user's hold time on at least the Like / Dislike buttons is determined by the virtual reality glasses worn by the user.  26. The method according to claim 25, wherein pictograms with images of at least funny and / or sad smiles are also installed for the Like / Dislike buttons. 27. The method according to p. 26, in which also for the buttons Like / Dislink installed pictograms with images of at least funny and / or sad smiles. 28. The method according to claim 27, in which the user's professional rating also depends on at least the number of users on social networks, the frequency of content updates on the user's thematic blog and / or on the user's Internet channel, the degree of publicity of the user, the age of the user .  29. Machine-readable data medium containing computer-readable commands that, when executed, implement the steps of the method according to one of clauses 15-28.