RU2663706C1 - Self-adjusting interactive system, a method and computer-readable data medium of credibility content assessment - Google Patents

Abstract

FIELD: information technology.SUBSTANCE: group of inventions refers to technologies for assessing content on the Internet. Self-adjusting interactive system for assessing credibility in content, which is provided by a user using client-server technology, is proposed. For each user in the system, the rating and the professional rating of the user are calculated, which allow estimating the interests and/or preferences of users, and also display the level of credibility in content that is provided by the user and/or the assessments assigned to a subject content.EFFECT: technical result is the creation of the self-adjusting interactive system for assessing credibility in content that is provided by the user, which provides the ability to adjust the assessment of subject content based on the established credibility threshold for the user, which is associated with the rating of this user and/or professional user rating, wherein the estimation is also performed depending on the pressing force and/or the duration of the user pressing on at least an information input/output button and/or a touch button and/or a touch screen of a computing device.29 cl, 19 dwg

Description

Technical field

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

State of the art

The popularity of the Internet and social networks has caused the transfer of various interactions and tasks from the physical world to the digital world. For example, documents and folders that would be shared years ago by sending 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 access control for members of different groups, especially if the groups cooperate with each other.

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

On the Internet, almost every person, looking at a particular content, wants to make sure that it is possible to trust this content, whether the information is reliable 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 put “Likes”, “Dislikes”, that is, the “Like”, “Like” buttons.

Psychologists say that a person cannot feel completely happy in the absence of so-called “stroking” - actions aimed at emphasizing the importance 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; just smile at him, compliment him, listen carefully or approve of him with a simple gesture. For example, by nodding your head or shaking hands.

People living in harmony with themselves, loved ones and loved ones, do not experience “hunger” by such “stroking”. That is why they lead an active lifestyle and do not sit at the computer for whole days. They do not need virtual acquaintances and conversations, they have many relatives, friends and acquaintances in real life who do not allow them to feel lonely and unnecessary to anyone. For this reason, we can safely say that “stroking” or emotional warmth is needed by everyone who spends a lot of time on social networks, studying a variety of information and trying to find different ways to establish virtual contacts.

Like is your “opinion” that you express in relation to the site, page, article, photo, friends and other users on social networks and generally 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 it is pressed, you can determine how many people expressed their positive attitude towards what they read or saw.

The more likes, the more interesting the information and the picture. Therefore, pages with a large number of likes will be watched or read by many more users than those where they are not. However, it is far from always that in order to earn like you need to write an interesting and useful article, post original and funny pictures. Often, pages with a large number of likes are an attempt to increase the rating of a page or site by building up likes for a certain price. Today on the Internet you can find a huge variety of offers and services that are ready to "like" at a purely symbolic price.

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

However, what exactly will help the user to reliably evaluate whether it is worth trusting one or another “Likes” and / or “Dislikes”?

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

Moreover, in the patent US 7,822,631 B1 and in the application US 2014 / 229.864 A1, technologies are disclosed that allow you to specify a confidence threshold that allows the user to put and / or adjust the rating of thematic content, depending on the user's rating.

The application US 2012 / 310,747 A1 discloses technologies that allow sorting the results of search queries based on comments and opinions of users who are trusted for the user who sent this request.

However, these solutions do not provide the ability to adjust the rating of thematic content using the force of pressing and / or the duration of pressing the user on at least the touch screen.

3D Touch technology is known from the prior art, disclosed in US Pat. No. 8,633,916 B2, published January 21, 2014, which uses the strength and duration (longitude) of pressing a sensor (touch buttons, touch screen surface) to control applications of a computing device.

And also, in the application US 2012 / 105,367 A1, published on 05/03/2012, technologies are disclosed that also allow you to control various events, depending on the different pressing forces on the sensor, as well as the pressing force on the sensor also depends on time.

From the application US 2012 / 059,787 A1, published on 03/08/2012, it is known to control smiles by adjusting the force of pressing the sensor, for example with power buttons.

From the application US 2011 / 227.872 A1, published September 22, 2011, it is known to adjust various interface elements depending on the pressure on the sensor.

And also, in the application US 2008 / 024,459 A1, published January 31, 2008, discloses technologies for adjusting the force of pressing the sensor for a predetermined time.

However, the solutions known in the prior art do not provide the ability to adjust the rating of thematic content depending on the established threshold of trust for the user, which is associated with the rating of this user and / or professional rating of the user, as well as the adjustment of rating is carried out by pressing and / or the duration the user clicks on at least the touch screen.

Thus, the problem of creating a method and a self-tuning interactive system for evaluating the trust of content that is provided by the user remains unresolved, which provide the ability to adjust the rating of thematic content, depending on the established threshold of trust for the user, which is associated with the rating of this user and / or professional rating user, and affixing ratings is also carried out depending on the strength of pressing and / or the duration of pressing gender zovatelem on at least the button input / output information and / or touch pad and / or touch screen of a computing device.

The way out of this situation can be the creation of such a self-adjusting interactive system for evaluating the trust of content that is provided by the user, as well as methods that provide the ability to adjust the rating of thematic content, depending on the established threshold of trust for the user, which is associated with the rating of this user and / or professional user rating, and affixing ratings is also carried out depending on the strength of pressing and / or duration on a user pressing on at least a button of an information input / output device and / or a touch button and / or touch screen of a computing device.

Disclosure of invention

The technical result achieved by the implementation of the present invention is to create a self-adjusting interactive system for evaluating the trust of content, which is provided by the user, providing the ability to adjust the rating of thematic content depending on the established threshold of trust for the user, which is associated with the rating of this user and / or professional rating user, and affixing ratings is also carried out depending on the pressure and / or product 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 a self-tuning interactive system for assessing trust in content that is provided by the user using client-server technology includes:

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

- a module for creating a user profile associated with the access module;

- a user device associated with the access module and the profile creation module, wherein the user device is intended for user input of information necessary for authentication, navigation of at least one web page, input of user comments;

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

- calculation of the user rating and / or professional rating of the user, which allows 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 ratings affixed to thematic content,

wherein the user rating includes at least the following:

points received by the user for each comment,

hazard reporting points,

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

points for a positive or negative rating by a user of another user's information,

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

points for indicating by the user that he likes another user;

however, a 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 showing the user’s professional education, academic rank and / or academic degree,

points received for the user's work experience by profession,

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

- the establishment of a threshold of trust for the user, which enables the user to rate and / or regulate the rating of thematic content, depending on the rating and / or professional rating of that user, and rating is also carried out depending on the strength of the click and / or the duration the user clicks on at least a button of an information input / output device and / or a touch button and / or 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, wherein the user interest analysis module is intended for analyzing user profiles, analyzing data received from web pages, and this analysis includes collecting information about visitors to web pages, their preferences in choosing goods and / or services, an assessment of the target audience of visitors, while based on an analysis of the data received from the web pages;

- a database associated with the user’s interests analysis module, the user profile reliability module and the profile creation module, while the database is intended to store user profiles, user visits to web pages, user comments, user ratings and target audience of users of web pages.

In a particular embodiment, said user profile reliability assessment module is further configured to generate a list of users who have received warnings from other users, and after a user receives a certain number of warnings, the reliability assessment module blocks this user and provides a prohibition on this user from commenting on any page .

In another particular embodiment, said module for assessing the reliability of a user profile is configured to block the user on an ongoing basis in the event that he has a large number of warnings.

In another particular embodiment, said module for assessing the reliability of a user profile is further designed to automatically check comments for the presence of offensive words or expressions.

In another particular embodiment, the system additionally contains a notification module associated with the user device and the database, the notification module is intended to notify the user of new comments by other users, notifications of points set by other users in response to the comments of this user, as well as It is intended for viewing comments of other users with which the user has the same interests.

In another particular embodiment, said notification module notifies users of new comments by means of the corresponding comment icon, which becomes transparent when the web page is scrolled, and reappears when the user hovers over it or scrolls the web page up, while this comment icon displays the number of comments on a specific web page, and when you hover over any object on this web page, the number of comments of this object.

In another particular embodiment, the system is additionally a user moderator device and a user supervisor device, configured to create comments on any web pages, rate web pages, and rating users.

In another particular embodiment, the system further comprises a module for evaluating user commenting activity, wherein the user rating is further based on the level of user commenting activity.

In another particular embodiment, the rating of thematic content is also carried out by clicking on at least the Like / Dislike touch buttons.

In another particular embodiment, the rating of thematic content is also carried out depending on the retention time of the user's gaze on at least the Like / Dislike buttons.

In another particular embodiment, the retention time of the user's gaze on at least the Like / Dislike buttons is determined by means of virtual reality glasses worn by the user.

In a particular embodiment, in the system, for the Like / Dislike buttons, pictograms are installed with images of at least funny and / or sad smileys.

In another particular embodiment, when adjusting the degree of pressing and / or the duration of pressing and / or the holding time of the user's gaze on the Like / Dislike buttons, these icons with images of funny and / or sad smileys are displayed for the user in real time.

In another particular embodiment, a user's professional rating also depends on at least the number of user’s subscribers on social networks, the frequency of updating content on a user’s thematic blog and / or on a user’s thematic Internet channel, the degree of user’s publicity, and the user's age.

The technical result is also achieved due to the fact that the method of assessing trust in the content that is provided by the user through a self-tuning 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 user access to the said system;

- by means of the user device, the user is provided with navigation on at least one web page, input of his comments, while by means of the user profile creation module, the user profile is created, the user is provided with the user’s comments of other users and / or his own number of subscribers, to which the user is subscribed, 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 module for analyzing user interests, analyze user profiles, analyze data received from web pages;

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

- calculation of the user rating and / or professional rating of the user, which allows 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 ratings affixed to thematic content,

wherein the user rating includes at least the following:

points received by the user for each comment,

hazard reporting points,

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

points for a positive or negative rating by a user of another user's information,

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

points for indicating by the user that he likes another user;

however, a 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 6 log and / or thematic Internet channel,

points showing the user’s professional education, academic rank and / or academic degree,

points received for the user's work experience by profession,

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

- the establishment of a threshold of trust for the user, which enables the user to rate and / or regulate the rating of thematic content, depending on the rating and / or professional rating of that user, and rating is also carried out depending on the strength of the click and / or the duration the user clicks on at least a button of an information input / output device and / or a touch button and / or touch screen of a computing device;

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

In a particular embodiment, using the user profile reliability assessment module, a list of users who have received warnings from other users is additionally generated, and after the user receives a certain number of warnings, the user is blocked by the reliability assessment module and the user is prohibited from commenting on any user pages.

In another particular embodiment, using the user profile reliability assessment module, the user is blocked on an ongoing basis, in case he has a large number of warnings.

In another particular embodiment, using the module for assessing the reliability of a user’s profile, comments are automatically automatically checked for the presence of offensive words or expressions in them.

In another particular embodiment, using the notification module, they notify the user about new comments of other users, about points put by other users in response to the comments of this user, and also provide the user with the opportunity to view the comments of other users with whom he has interests.

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

In another particular embodiment, the moderator’s user device and supervisor’s user device are configured to comment on any web pages, rate web pages, and rating users.

In another particular embodiment, the user rating is further based on the level of user commenting activity.

In another particular embodiment, the rating of thematic content is also carried out by clicking on at least the Like / Dislike touch buttons.

In another particular embodiment, the rating of thematic content is also carried out depending on the retention time of the user's gaze on at least the Like / Dislike buttons.

In another particular embodiment, the retention time of the user's gaze on at least the Like / Dislike buttons is determined by means of virtual reality glasses worn by the user.

In another one particular embodiment, the Like / Dislike buttons have icons with images of at least funny and / or sad emoticons.

In another particular embodiment, the Like / Dislike buttons have icons with images of at least funny and / or sad emoticons.

In another particular embodiment, a user's professional rating also depends on at least the number of user’s subscribers on social networks, the frequency of updating content on a user’s thematic blog and / or on a user’s thematic Internet channel, the degree of user’s publicity, and the user's age.

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 a claimed system according to an independent clause.

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

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

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 comment icon.

FIG. Figure 8 shows exemplary options for Renteres windows in case a user clicks on an icon or comment bubble.

FIG. 9, FIG. 10 show example options for creating an account in the system.

FIG. 11 shows exemplary options for windows displaying 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 exemplary embodiment of a system screen containing a user profile interface, the number of people following the user, the number of people followed by the user, user rating, basic user information — image, name, nickname.

FIG. 13 shows profile editing options: changing personal data, image, name, status, etc.

FIG. 14 shows exemplary system screens comprising 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 its subscribers and subscriptions.

FIG. 16 shows an exemplary embodiment of calculating a user rating in the Renteres system.

FIG. 17 shows an example of images of funny and sad smileys.

FIG. 18 depicts an example of selecting an emoticon image by retaining the gaze of a user wearing virtual reality glasses thereon.

FIG. 19 shows an illustrative example of the implementation of 3D Touch technology that allows the system to determine the strength of pressing the touch screen.

Description of embodiments of the group of inventions

Below will be a description of exemplary variants of the claimed invention with reference to the drawings. However, the present invention is not limited to these embodiments only. It will be apparent to those skilled in the art that other variations 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, the user device 3 is connected to the access module 1, the profile creation module 2, a user interest analysis module 5 and a user profile reliability assessment module 4. A profile 2 creation module is further connected to an access module 2, a user interest analysis module 5, a reliability assessment 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 a supervisor 8, a user device of a moderator 9, each of which is associated with a module for creating a user profile 2, a database 6, a user device 3 and a module for assessing the reliability of the user profile 4. The system also further comprises a notification module 7, which connected to database 6 and user device 3.

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

The user can have a registration and account in one or more social networks, for example, such as Odnoklassniki, 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 his own group, communicate with other users. All users can comment and view comments on any web page on the Internet without obtaining the appropriate permission of the moderator of the web pages and / or websites viewed by the user, as well as make comments, for example, to photos, videos, music, etc. other users.

If the user does not have an account in the above social networks, then he must register using access module 1. Moreover, after registering the user, the module for creating profile 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: comments of other users and / or his own, the number of subscribers the user is subscribed to, information about the user, including at least the user name, user rating, representing the level of reliability of the user profile. The user profile contains information about the user: name, avatar, user rating, which includes an assessment of the reliability of the user profile. 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.

Entrance to the claimed system is carried out in a quick and convenient way. To do this, the user must log in from his user device 3 into one or more social networks, which automatically provides access to the claimed system. Access module 1 provides user authentication. Authentication can be carried out by any methods known in the art, for example, by login and password.

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

After entering the system, the user is given the opportunity to visit to browse, scroll (scroll) various web pages. The user can also comment on any web pages, rate 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 the user has an account on social networks, then the claimed system can connect not only to his friends contained in the user’s profile, but also to other users who are not his friends. The system also allows you to communicate with users of social networks not by name, but by circle of interests, allowing the user to correspond with them (for example, fans of a Mercedes car, etc.). Using this system for a smartphone or computer using social networks, the 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 evaluating the reliability of user profile 4, associated with the module for creating a user profile 2 and user device 3. The module for evaluating the reliability of user profile 4 calculates the user rating, evaluates thematic content of user comments and posts, depending on the rating of users and / or personal preferences users, selectively displays for users certain comments, posts, information about goods and / or services, based on the aforementioned assessment, and also blocks the possibility of commenting on users, depending on various parameters, which are discussed in detail below. User rating shows the level of trust in the user's comments. The system, using the module for assessing the reliability of user profile 4, generates an R rating for each user (see Fig. 16), which allows you to determine the trust and seriousness of the comments of this user. The purpose of creating a user rating is to determine its reliability.

The user rating R is obtained based on at least the following:

points received by the user for each comment,

hazard reporting points,

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

points for a positive or negative rating by a user of another user's information,

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

points for indicating by the user that he likes another user

The specialist is clear that the rating may additionally include other estimates of user actions.

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

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

R (RAITING) - rating showing the level of users, i.e. its reliability, activity, etc.

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

F (Flag) - points assigned to the user for reporting a danger or problem. For example, a 14-year-old girl Alice comes in and sees that another user Boris wrote 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 a flag that the message is dangerous and informs the administrator about it, then the user who left this flag, i.e. Alice or Oksana, for example, gets eight points only if the other two users report the same violation, for example, other users of Sveta and Ivan, who can be Alice's friends.

At the user, i.e. Boris, whose comment is flagged to indicate that the message is incorrect 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 to him. It should be noted that a different number of points can be deducted. The above balls are given as an example only.

RE (recoment) - points for the fact that the user gave an answer to a 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’t, I'm busy at work." For the response left to the user, i.e. Ivan, is awarded, for example, 2 points. It should be noted that any other number of points than the above may be awarded.

L (like) - the number of points for the fact that the user rated the information of another user positively. For example, user Oksana posted on her web page a photo with her friends, taken to her while walking with friends in the park. Her friend Alice liked this photo, and she put, for example, a like icon (like) on this photo. For this action, the user Alice is added, for example, 5 points. It should be noted that a different number of points may be added. The above balls are given as an example only. 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 the information of another user negatively. For example, Alice posted a photo from a party. However, Oksana did not like this photo. She gives a negative comment or puts an unlike icon. For this, the system subtracts, for example, 1 point to the user who received a negative review, 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 a quarter in the Renteres system and then refers to it in another system, for example, VKontakte. Then users of another system can see this information posted on Renteres. For this action 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, user Alice receives three points. Such a number of points can be awarded to the user who is being watched, i.e. To Ivan.

It should be noted that from the moment of registration, each user receives points, which are determined by the frequent use of the system by the user, which means the more the user will use the capabilities of the claimed system (comments, like / dislike buttons, report dangerous and offensive comments and etc.), the greater the reliability of this user. For example, a user leaving a message on the network receives 2 points, which are added to his rating. Each user can receive a total of, for example, 100 points when receiving an account.

The user interests analysis module 5 of the claimed system analyzes the user’s interests of web pages and user accounts. This module analyzes the pages of visiting websites and determines the web page itself, on which the user viewed and / or browsed links on websites. This determination is based on the URL and / or any other element that the developer of this system automatically selects. The analysis of web pages includes an assessment of the popularity of the data posted on the websites among other users, as well as rating the web pages, depending on the number of positive responses about the goods or services offered on these websites.

By means of the aforementioned module for analyzing the interests of the user 5, the popularity rating of the 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 visits to web pages, user comments, user ratings, preference data, user interests, data characterizing preferences, interests of the target audience of web page users. It should be noted that information about user activity is stored in database 6 even if the user visits the website without leaving comments.

The notification module 7 notifies users of new comments by other users, of the points put by other users, in response to the comments of this user, and also provides the user with the possibility to view the comments of other users with which he has interests. This module 7 provides users with alerts about new comments by other users, alerts about various marks such as “like”, “dislike”, “Like”, “Dislike”, in response to user comments on the interests chosen for him . The notification module 7 gives the user the opportunity to see specific comments of other users who have visited this website (or this page of the website), as well as use the messenger of the downloaded program to communicate with other users online. In addition, any information left by the user in the messenger of the downloaded program allows other users to read it at any time. Thus, the system allows the user to get specific answers to any questions posed 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 can in no way affect the control of messages left, cannot delete and correct them. The system also provides that the user can leave options for assessing the quality of goods and services provided by various suppliers, for example, online stores, on various pages of the website, using rating options such as: Like, Dislike, Share, etc. d.

The user does not have to be at a specific location on the website to comment and share their opinions. To do this, he, with his personal account, needs to connect to the system and view everything that is interesting to him there. At the same time, 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 steps of the claimed method.

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

In case of successful authentication in the social network, access module 1 provides user access to the comment exchange system (step 2 in Fig. 3). After successful authentication, the user gets to his web page or to another web page that the user selected. While on his own web page or other web page (step 3 in Fig. 3), the user can visit and view other web pages, enter his comments on the web pages of other users or the web pages of suppliers of goods or services, if he is interested certain content, video, photo or any discussion, for example, on a forum. The user can also view comments of other users, view subscriptions and subscribers.

While online, the user interest analysis module 5 constantly analyzes the web pages of interest to each user, objects (content, comments, etc.) posted on these web pages, user accounts (step 4 in Fig. 3). Also, the user profile reliability assessment module 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 rating calculation method is described in detail above. Based on the calculated rating, the reliability of each user’s profile is determined. Based on the rating received, module 4 can block the comments of a user with a low rating if at least one user with a high rating marks the comments of this user as unreliable or offensive (step 6 in Fig. 3).

The method described above will be illustrated in more detail with a specific example. The user Liron1985, as shown in FIG. 9, 10, logs in by entering your username or password. After that, this user gets to his web page, where he can perform various actions. In FIG. 11, FIG. 12 shows some of the features of the Liron1985 user in the system. He can leave comments, view comments of other users, 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).

In FIG. Figure 16 shows an example of the Liron1985 user interface, which allows the Liron1985 to see the number of users that are following it, the number of users that it is following, the number of messages that user has received, the total number of comments from Liron1985.

The user Liron1985, the first time he logs in, is awarded 100 rating points. Further, this user can increase or decrease his rating.

For example, a user Liron1985 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 a case where a user of Liron1985, while navigating through the pages of social networks, went to his car-related website. On this website, Liron1985 left 10 comments, with answers to various questions, thereby adding another 20 points to his rating of 100 points. Also, Liron1985 made a repost with a link to the website he liked about automobile topics on the social network VKontakte, thereby earning another 10 points to his rating. The user Liron1985 on the car website subscribed to Alex user updates and liked his comments, having received, thereby, 10 more points to his rating.

User Alex, being a user of 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 Liron1985. After reviewing the comments and user profile of Liron1985, the user Alex subscribed to the "newbie" updates and liked him, thereby receiving another 10 points.

While navigating the web pages, our "newcomer" Liron1985, went to the website dedicated to the remote selection of clothes, where Internet users can buy clothes selected for them. Liron1985 goes to the web pages of this website, which contains photographs of women in clothing sold on this website, and leaves one comment for Helen and one comment for Rita. The comments contain information that the clothes in which the women are placed in the photographs are full of them. And also, Liron1985 puts ten “dislike” marks on Helen’s photo, five “dislike” marks on Rita’s photo. Further, moderators Alex and Tony, with a rating of more than 5000 points, flag these messages and view them. Moderators Alex and Tony acknowledged two comments flagged as dangerous by the flags, and the rating of Liron1985 decreased by another 30 points. Liron1985 receives 17 warnings from moderators Alex and Tony, and also loses 15 rating points for “dislike” marks. Thus, “thanks to” his actions, the Liron1985 user has already lost 45 rating points, and now his rating is 85 points. If this user continues to leave messages of negative and dangerous content, then his rating may drop to an even lower value, and he will receive even more warnings. After a user’s rating drops below, for example, 30 points, and the number of warnings he reaches, for example, 150, the Renteres system, and, in particular, the user profile reliability module 4 will block Liron1985 and he will also be prohibited from commenting any web page. At the same time, at least a moderator Alex, with a high rating, will be able to decide on blocking the user Liron1985. It will be apparent to those skilled in the art that locking can be performed not only after being indicated by one or two users, but also after being indicated by any large number of users.

When the number of warnings for the Liron1985 user is more, for example, 200, the Renteres system will block it permanently.

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

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

For example, a Helen user often visits a website that provides an electronic version of a catalog of clothing as well as home goods. On this website, the user has the opportunity to select products according to many parameters: 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 a clothing selection website. Helen, navigating the website with a selection of clothes, leaves comments on certain articles of jumpers, blouses, skirts, children's goods. For example, Helen liked the jumpsuit, and she leaves a positive comment about it, and likes the user Rita, who posted a photo of her daughter in the jumpsuit. For this, the Renteres system increases the Helen user rating by 4 points. Now, Helen wants to share a photo of Rita on Odnoklassniki social network, and gets another 10 points for such a repost. Thus, thanks to reviews of specific products, the system has the ability to prompt users when choosing a product. At the same time, the selection and evaluation of a product or service by one or another user will be controlled by other users with high confidence ratings.

The Renteres system, through the module for assessing the reliability of user profile 4, additionally implements the following features: assessment of thematic content, comments and user posts, depending on the user 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 rating, block user comments for the rated thematic content, if the user 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 Tony. Moreover, Alex visits more themed web pages related to cars, and the user Tony, is fond of fishing, and visits web pages with this theme. Since these users have proven themselves in their favorite thematic websites, then, of course, they are professionals in them, and their comments can be trusted. These users can also evaluate one or another thematic content. For example, the user Alex leaves comments about a particular website, according to its professional topics, and this opinion can be trusted. User Alex can check, evaluate, block the comments of other users, in their subject, “cars”, and user Tony can carry out all the same actions with user comments in the subject of “fishing”. The user Liron1985, who is a "beginner" in the themes of "cars", "fishing", enters the system. His comments and ratings are closely monitored by Alex and Tony. Liron1985 entered the system and got 2 points to its rating. Further, Liron1985 visits automotive related websites, leaving comments there. But, since his rating is still small, his comments are not professional. And also, if the “behavior” of the user Liron1985, when commenting on thematic websites, leads him to the fact that his rating drops 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 increasing the rating of a given user, the credibility of moderators in this topic will increase to his comments, posts on a particular topic, and therefore the trust of other users.

The module for assessing the reliability of user profile 4 also implements the ability to calculate, in addition to the user’s rating, also its professional rating, which allows you 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 ratings affixed to thematic content.

The Renteres system has an additional opportunity to evaluate the content provided by the user, coupled with the calculation of the user rating R, namely, by calculating the professional rating Pr. Examples of such content can be comments, posts, reposts, and any other manifestations of the opinions of users of this system.

Pr's professional ranking 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 showing the user’s professional education, academic rank and / or academic degree,

points received for the user's work experience by profession,

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

In a particular case, the Pr rating of a user can be determined by the following formula:

Pr = Ta + Tb + E + p + Rm, where:

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

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

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

Е (EDUCATION) - points showing the user’s professional education, academic rank and / or academic degree. If Alice has a higher education, Alisa is awarded 10 points for the user. If Alice is awarded a scientific degree, for example, a candidate of science in any subject assigned to her, she will be assigned another 15 points. In the case of a candidate degree on any other subject, 10 points are awarded.

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

Rm (REFERENCES IN MEDIA) - points showing the number of mentions of the user in the media and / or the Internet. For each mention of the user Alice on social networks and / or during reposts, she is awarded 2 points. If such a mention is related to the theme assigned to Alice, she will be awarded 3 points. If such a reference 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 these parameters can be set by the system additionally and can be any other number of points than the above.

And also, in a particular embodiment, a user's professional rating may also depend on at least the number of user’s subscribers on social networks, the frequency of updating content on a user’s thematic blog and / or on a user’s thematic Internet channel, the degree of user’s publicity, and the user's age.

The parameters showing the number of subscribers, the frequency of updating the content, indicate the degree of popularity of the blog and / or channel and / or user’s page on social networks. The degree of publicity, for example, can be estimated by the number of reposts of certain posts and / or user comments on other social networks.

Parameters displaying the age of the user may additionally be of interest to the user's rating. How much should you trust the comments, posts that, for example, leave a small child? A flag may be provided in the system that displays the age of the user who posted some thematic content so that users are guided by it as a kind of indicator.

One skilled in the art will appreciate that a professional rating may further include other evaluations of user actions.

We show these additional features by example.

User Kate is a moderator and has a rating 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. Kate now wants to evaluate whether to trust the comments of Ura, who has a rating of 4000 points and a professional rating of 50 points. Kate begins to follow Ura, evaluating what the dynamics of changes in the values of its ratings. Ura is interested in the subject of Computers, but his rating in this subject drops due to the fact that he leaves negative comments on posts submitted by a professional in this field, an Egor user with a professional rating, 1000 points. From this, the Kate user concludes that one should not trust Computers-related content provided by the Ura user.

For a user in the system, both a confidence threshold related to the user rating and a confidence threshold related to the user's professional rating can be set. These confidence thresholds can be set during system configuration by means of the user profile reliability module 4.

The indicated confidence thresholds enable the user to rate and / or control the rating of thematic content, depending on the rating and / or professional rating of that user. Moreover, the user can give ratings, depending on the pressing force and / or the duration of pressing the user at least the button of the input / output device and / or the touch button and / or touch screen of the computing device.

3D Touch technologies, allowing to affix and / or regulate affixing of ratings, in this case Likes / Dislikes are shown in FIG. 19.

Below are some examples of the use of 3D Touch technology that will help greatly simplify the work, for example, with the iOS operating system for iPhone 6s owners.

A new feature that appeared with the advent of 3D Touch is the ability to call the application context menu by pressing the icon. This 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 contact list in Phone.

The touch screen, as the only input device in previous iPhone models, limits the ability to control characters or objects, but 3D Touch can significantly expand the arsenal of the gamer. For example, in Badland 2 you can accelerate the character with a strong press, and earlier, for this, it was necessary to make several quick tapes.

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

Owners of 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 hold your finger on the screen. In addition, you can call the context menu with various options by clicking in the same way on the subscriber's avatar.

In many iOS apps, swipe from the left border of the screen is used to return to the previous screen or page. A similar gesture with effort on the iPhone 6s brings up the multitasking menu, which is very convenient, especially in the case of the overall iPhone 6s Plus.

Let us 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 topics assigned to him - Fishing, Weapons. The permissible confidence threshold for a user rating, in this particular version, is 25 points, and the permissible confidence threshold for a professional rating, also in this particular version, is 10 points. User Bob in the system is a professional in his own subject, and can also regulate the rating, for example, comments on his professional topics, by other users with lower professional ratings or user ratings. For example, Bob saw that Alice Like in response to a post related to the topic Fishing in the suburbs in a specific place. However, Alice is not a professional in this field, her likes should not be trusted much. And, in this case, Bob can adjust this affixed like by setting him a confidence flag reflecting the degree of trust in this like, or Bob can, for example, change the degree of like by lowering it. Examples of pictograms showing degrees of likes are shown in FIG. 17. Thus, it can be implemented the ability to adjust the grading of thematic content.

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

In the system, the force of pressing the Like / Dislike touch buttons also means choosing a particular smile. At the same time, the user, when carrying out such pressing and / or holding his gaze, visually sees various smiles, meaning different degrees of Likes / Dislikes. This feature brings the user additional convenience when working with the system.

In the system, the retention time of a gaze on a particular image of Like / Dislike may mean his choice. For example, keeping the user's gaze on the image of the Haha emoticon may mean his choice.

Bob can also select Likes / Dislikes using virtual reality glasses, as shown in FIG. eighteen.

In the system, the user profile reliability assessment module 4 can rate thematic content presented by the user, for example, only depending on the user's professional rating. This is necessary for an objective assessment of trust in a particular content.

For example, the user Irina has a professional rating in the system, 6000 points, and the theme assigned to her is Sports. A newcomer to this topic, the user Roma 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 / Dislikes affixed to the content on this topic. Roma monitors Irina’s actions on the Internet and analyzes how her professional rating is changing. The professional rating of Irina is increasing every day, because she is a very active blogger, her blog is updated several times a day. In addition, Roma looks at the comments of other users with a lower professional rating and also sees that their feedback about the user Irina in the Sports theme is only positive. Thus, Roma concludes that the content provided by the user Irina on the subject Sport is trustworthy, verified and reliable. Roma can deliver as large Likes as Super Likes to Irina posts, which will help other users of this system also appreciate that Irina is a verified, trusted user in the Sport theme.

The reverse situation may also be provided in the system. When Super Dislike ratings can be put, in the case when the thematic content of the user should not be trusted, it is not trusted.

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

So, if the user long and hard clicks on the Like button, this will correspond to the highest rating. By clicking on Like, the user sees online how he is changing and determines when to stop the action. And vice versa, if a visitor long and hard clicks on Dislike - this will correspond to the worst rating.

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 with respect to goods and / or services, and thematic content. It is also possible to collect extended statistical information, including at least information about in which age categories certain products and / or services are popular, thematic content, information about which regions in a country and / or countries prefer certain goods and / or services.

For example, in the age category of users from 18 to 25 years old, the most popular areas for search queries on the Internet are topics related to the field of education, science, it can be various term papers, settlement and graphic works, materials for preparing for exams. These thematic requests may differ, depending on the direction of specializations of future specialists, whether they are technical sciences, medical, philosophical, etc.

, всплывает окно комментариев других пользователей по этой тематике, но сделанные ими на этом и на других страницах веб-сайтов. Используя систему Renteres, пользователь Tony может отсортировать комментарии в закладке последние комментарии по какому-то критерию, а также может сделать закладку, например, «курсовые работы по термодинамике» и система будет собирать все комментарии пользователей со всех страниц различных сайтов в Интернете, которые касаются указанной пользователем темы. Система формирует отзывы пользователей, сделанные на разных веб-сайтах, в отношении курсовых работ по термодинамике, и группирует их для пользователя в удобном для него виде. В результате этого, пользователю Tony предоставляется возможность, ознакомиться с отзывами других пользователей по интересующей его теме и перейти непосредственно из системы Renteres на тот конкретный объект на сайте, который другой пользователь прокомментировал.Tony is interested in physics coursework. Having entered the search system, he enters search queries related, for example, to a specific section of physics - “thermodynamics”. He is given a huge number of sites on this subject. Renteres system is designed in such a way that when you click on the program icon

, pop-up comments window of other users on this topic, but made by them on this and on other pages of websites. Using the Renteres system, a Tony user can sort comments in the bookmark by the last comments by some criterion, and can also bookmark, for example, “term papers in thermodynamics” and the system will collect all user comments from all pages of various sites on the Internet that relate to user-specified topics. The system generates user reviews made on various websites regarding term papers on thermodynamics, and groups them for the user in a form convenient for him. As a result of this, the Tony user is given the opportunity to read reviews of other users on a topic of interest to him and go directly from the Renteres system to that specific object on the site that another user commented on.

Another example of the convenience of using the Renteres system is the following. For example, a trusted user, Kate, commented on a bicycle model that was featured on a bike-related website. After reading this news, our Liron1985 user can view this page of the site with the object of interest to him, without using other search engines. All he needs to do is just click on the link to the site in the Renteres system, which was commented by another user, for example, Kate. Thus, each Internet user can significantly reduce the time spent searching 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 - not only to form communication with other users, grouped by interests, but also to choose the product he needs, having studied the opinions of other users. When visiting any sites, the Renteres system allows any Internet user to bookmark the system’s pop-up window on any topic of interest to him, while the notification system will accompany the user while browsing any pages and notify him of new subscribers, comments, ratings, etc.

The method of exchanging messages in the Renteres system also contains the ability to promote websites in search engines by evaluating user comments on products and services on these websites. This function of the system is implemented through the module for analyzing the interests of users 5, and is expressed in a direct connection between the number of positive comments about goods or services presented on websites and its rating in search engines.

Consider this system function using an example. The rating of websites in the Renteres system depends on the comments of users about the goods or services posted on these websites. For example, a Helen user, whose rating in the system is 400 points, navigates through websites while browsing several websites, united by the topic “women's clothing”. For Helen, the predominant criteria for choosing a website for remote clothing orders are - free delivery of goods, reasonable price for them. For these two important parameters for her, two websites came up to her. She leaves positive comments on these two websites in which she gives her opinion about the products, as well as why she makes the choice in favor of these two websites. At the same time, the system stores the URL of these two websites with the theme of “women's clothing”, associating them with positive user comments. And also, several other users, Rita, Kate, also opt for these two mentioned websites to order clothes over the Internet. And thus, the rating of these websites increases. And when a user forms a search query in a search engine containing the phrases “women's clothing is inexpensive”, “women's clothing with free delivery”, the user is provided with the selected Helen websites, i.e. they are displayed “higher” than the rest because they have a higher rating.

Similarly, you can consider the provision of certain services over the Internet. For example, a user of Rita, navigating the Internet, accesses a search engine using approximate queries: “providing hairdressing services at home”, “cutting your hair cheap in Moscow”, “good inexpensive hairdresser”. As a result of such a search, she will receive websites with high trust ratings based on positive feedback from users, for example, on the quality of work of hairdressers, the cost of their services, etc. This feature allows you to sort websites on the basis of people's comments, their experience, which is an informative and objective criterion for choosing a particular service.

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

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

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

If necessary, at least part of the various functions discussed in this description can be performed in a different order than that presented 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 various aspects of the present invention are described in the independent claims, other aspects of the invention include other combinations of features from the described embodiments and / or dependent claims in conjunction with features of the independent claims, and the combinations are not necessarily explicitly stated in the claims.

Claims (70)

1. Self-tuning interactive system for assessing the trust of content that is provided by the user, using client-server technology, including: - an access module that provides user access to the said system in case of successful authentication; - a module for creating a user profile associated with the access module; - a user device associated with the access module and the profile creation module, wherein the user device is intended for user input of information necessary for authentication, navigation of at least one web page, input of user comments; - a user profile reliability assessment module associated with a profile creation module and a user device, wherein the reliability assessment module is intended for: - calculations of the user rating and / or professional rating of the user, which allow to evaluate the interests and / or preferences of users, and also display the level of trust in the content that is provided by the user, and / or the ratings affixed to the thematic content, wherein the user rating includes at least the following: points received by the user for each comment, hazard reporting points, points for the user's response to the question addressed to him, points for a positive or negative rating by a user of another user's information, points for the user sharing information with other users in a social network and referring to it in another social network, points for indicating by the user that he likes another user; however, a 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 showing the user’s professional education, academic rank and / or academic degree, points received for the user's work experience by profession, points showing the number of mentions of the user in the media and / or the Internet, - the establishment of a threshold of trust for the user, which enables the user to rate and / or regulate the rating of thematic content, depending on the rating and / or professional rating of that user, and rating is also carried out depending on the strength of the click and / or the duration the user clicks on at least a button of 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, wherein the user interest analysis module is intended for analyzing user profiles, analyzing data received from web pages, and this analysis includes collecting information about visitors to web pages, their preferences in choosing goods and / or services, an assessment of the target audience of visitors, while based on an analysis of the data received from the web pages; - a database associated with the user’s interests analysis module, the user profile reliability module and the profile creation module, while the database is intended to store user profiles, user visits to web pages, user comments, user ratings and target audience of users of web pages. 2. The system of claim 1, wherein said user profile reliability assessment module is further configured to generate a list of users who have received warnings from other users, and after the user receives a certain number of warnings, the reliability assessment module blocks this user and provides a ban on Commenting by this user on any page. 3. The system of claim 2, wherein said module for assessing the reliability of a user profile is configured to lock the user on an ongoing basis if he has a large number of warnings. 4. The system of claim 3, wherein said module for assessing the reliability of a user profile is further intended to automatically check comments for the presence of offensive words or expressions in them. 5. The system according to claim 4 further comprises a notification module associated with the user device and the database, wherein the notification module is intended to notify the user of new comments by other users, to notify about points put down by other users in response to the comments of this user, and It is also intended for viewing comments of other users with which the interests of the user coincide. 6. The system of claim 5, wherein said notification module notifies users of new comments by means of a corresponding comment icon that becomes transparent when the web page is scrolled and reappears if the user hovers over it or scrolls the web page up , while this comment icon displays the number of comments on a specific web page, and when you hover over an object on this web page, the number of comments on this object. 7. The system according to one of paragraphs. 1-6 further comprises a moderator user device and a supervisor user device, configured to comment on any web pages, rate web pages, and rating users. 8. The system of claim 6 further comprises a module for evaluating user commenting activity, wherein the user rating is further based on the level of user commenting activity. 9. The system according to claim 8, in which affixing ratings to the thematic content is also carried out by clicking on at least the Like / Dislike touch buttons. 10. The system according to claim 9, in which affixing ratings to the thematic content is also carried out depending on the retention time of the user's gaze on at least the Like / Dislike buttons. 11. The system according to claim 10, in which the retention time of the user's gaze on at least the Like / Dislike buttons is determined by means of virtual reality glasses worn by the user. 12. The system according to claim 11, in which pictograms with images of at least funny and / or sad smileys are also set for the Like / Dislike buttons. 13. The system according to p. 12, in which, when adjusting the degree of pressing and / or the duration of pressing and / or the time that the user's gaze is held on the Like / Dislike buttons, these icons with images of funny and / or sad smileys are displayed to the user in real time. 14. The system of claim 13, wherein the user's professional rating also depends on at least the number of user’s subscribers on social networks, the frequency of updating content on a user’s thematic blog and / or on a user’s thematic Internet channel, user’s publicity, user’s age . 15. A method for assessing trust in content that is provided by a user through a self-tuning 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 user access to the said system; - through the user device, the user is provided with navigation on at least one web page, inputting his comments, while using the user profile creation module a user profile is created, the user is presented with the user’s comments of other users and / or his own, the number of subscribers the user has subscribed to , user information, including at least a username, a user rating representing the level of reliability of the user profile ; - using the module for analyzing user interests, analyze user profiles, analyze data received from web pages; - through the module for assessing the reliability of the user profile, carry out: - calculation of the user rating and / or professional rating of the user, which allows 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 ratings affixed to thematic content, wherein the user rating includes at least the following: points received by the user for each comment, hazard reporting points, points for the user's response to the question addressed to him, points for a positive or negative rating by a user of another user's information, points for the user sharing information with other users in a social network and referring to it in another social network, points for indicating by the user that he likes another user; however, a 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 showing the user’s professional education, academic rank and / or academic degree, points received for the user's work experience by profession, points showing the number of mentions of the user in the media and / or the Internet, - the establishment of a threshold of trust for the user, which enables the user to rate and / or regulate the rating of thematic content, depending on the rating and / or professional rating of that user, and rating is also carried out depending on the strength of the click and / or the duration the user clicks on at least a button of 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, histories of users visiting web pages, user comments, user ratings, data about preferences, interests of users and target audience of users of web pages. 16. The method according to p. 15, in which, with the help of the user profile reliability assessment module, a list of users who have received warnings from other users is additionally generated, and after the user receives a certain number of warnings, the user is blocked by the reliability assessment module and provides a ban to comment this user on any page. 17. The method according to p. 16, in which, using the module for assessing the reliability of the user profile, block the user on an ongoing basis in the event that he has a large number of warnings. 18. The method according to p. 17, in which, using the module for assessing the reliability of the user profile, additionally automatically check the comments for the presence of offensive words or expressions. 19. The method according to p. 18, in which, using the notification module, notify the user about new comments of other users, about the points put by other users, in response to the comments of this user, and also provide the user with the opportunity to view the comments of other users with whom his interests coincide. 20. The method according to p. 19, in which, using the said notification module, users are notified of new comments by the corresponding comment icon, which becomes transparent when the web page is scrolled and reappears 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 over an object on this web page, the number of comments of this object. 21. The method according to one of paragraphs. 16-20, in which the user device of the moderator and the user device of the supervisor are configured to comment on any web pages, rate web pages, and rating users. 22. The method of claim 20, wherein the user rating is further based on the user's commenting activity level. 23. The method according to p. 22, in which affixing ratings to the thematic content is also carried out by pressing the user at least touch buttons Like / Dislike. 24. The method according to p. 23, in which the rating of the thematic content is also carried out depending on the retention time of the user's gaze on at least the Like / Dislike buttons. 25. The method according to p. 24, in which the retention time of the user's gaze on at least the Like / Dislike buttons is determined by means of virtual reality glasses worn by the user. 26. The method according to p. 25, in which for the Like / Dislike buttons there are icons with images of at least funny and / or sad smileys. 27. The method according to p. 26, in which also for the Like / Dislike buttons there are icons with images of at least funny and / or sad smileys. 28. The method according to p. 27, in which the user’s professional rating also depends on at least the number of user’s subscribers on social networks, the frequency of updating the content on the user’s thematic blog and / or on the user’s thematic Internet channel, the degree of publicity of the user, the age of the user . 29. A computer-readable storage medium containing computer-readable instructions that, when executed, implement the steps of the method according to one of claims. 15-28.

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