RussianPatents.com
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Method of monitoring user preference information based on analysis of content perception of said users (versions). RU patent 2495485. |
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IPC classes for russian patent Method of monitoring user preference information based on analysis of content perception of said users (versions). RU patent 2495485. (RU 2495485):
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FIELD: information technology. SUBSTANCE: user authorisation is performed on a server. The server provides the user with a list of content available for use. The user selects content from the list while sending information on the selected content to the server, and also uses the content while recording evaluation of emotional experience of the user by entering one of proposed evaluations on a recording device. The recording device sends the evaluations to the server, which processes the evaluation information received from the users, generates information models of user preferences as well as information time models of content. When the user uses the content, the emotional state of the user is automatically monitored using an emotion monitoring means installed on the recording device and evaluations of the emotional experience of the user is determined from content usage. EFFECT: high efficiency of monitoring user preference information based on analysis of content perception of the user. 15 cl
The group of inventions related to information technology and can be used for monitoring the information about user preferences on the basis of the analysis of the perception of their content. Declares two options, which can be conditionally divided into two groups: monitoring, information about user preferences using the self-assessment of your emotional feelings and monitoring of information about a user's preferences with automatic hardware-software receiving the emotional experiences of the user. Content is any content, perceived by a man. Content can be distributed through a certain environment, for example the Internet or television. The proposed method does not depend on a particular type of content delivery and can be used with arbitrary content. There are ways to get information about a user's preferences on the basis of the generalized assessment of Internet content through the voting «I Like / don't like or different kind of ratings (see Contact Widget "I like", http://vk.com/developers.php?p=Like ; Facebook Like Button, http://developers.facebook.com/docs/reference/plugins/like/ ; Youtube API v2.0 - Ratings, https://developers.qooqle.com/voutube/2.0/developers_guide_protocol ratings ). In these methods, all consumers of content is asked to assess. Further analysis of the obtained data allows us to determine the popularity of content and make conclusions about the user's preferences. However, the data in ways no time snapping content, i.e. the user itself forms the average value judgment with respect to all content. Many of the estimated content is limited content available via the Internet. Furthermore, the development of mobile communications is the ability to use TV voting (including SMS voting) in various interactive programs, surveys, quizzes, competitions, and also for determining the rating (see Televoting, http://en.wikipedia.org/wiki/Televoting ). To Express their preference and vote for a particular candidate, just call or send SMS-message to the appropriate phone number. On the basis of all sent messages and the winner is determined. SMS-voting is not tied to a specific content type, and can be used for the assessment of the events occurring in real life, but, as in the case of Internet voting, the user forms the average value judgment with respect to all content. Also there is a method of monitoring information about the preferences of TV audience with the help of specialized equipment, the so-called people-meters, which are installed on television certain representative sample of people and register to view their television programs (see The technique of rating estimation, http://www.grp.ru/effectiv/ ; People Meter, http://en.wikipedia.org/wiki/People_meter ). The obtained data are stored and transmitted to the information processing centre. On the basis of these data are determined by the preferences of different target audiences and ratings are compiled programs and channels. Method requires the installation of additional equipment and applies only to TV channels. In addition, its use is recorded and then analyzed only the quantitative characteristics of consumption - who and what channels looked at specific times. Thus, the known ways are not universal. They use the average value judgment consumer content in relation to all content in General. This average assessment is rather coarse and seriously limits the possibility of obtaining accurate information about user preferences. In addition, some methods require the installation of additional equipment or apply only to a specific content type. The present invention is an expansion of the means, namely the creation of a new method (service) for monitoring the information about user preferences on the basis of the analysis of the perception of their content, eliminating the above disadvantages. To solve this problem, according to the first version of the present invention, the use recording devices users and the server. The server stores information about users, including the identification data and information temporary content model. Server software allows the creation of information model of user preferences on the basis of processing of the information on assessments of the users of their emotional experiences during the consumption of content. The first step is the user's authorization on the server; the server that user to the list of contents, available for consumption and choice of the user content from the list by passing the information about the selected content on the server. After this happens consumption of user content with fixing the assessments of his emotional experiences with the input of the recorder of one of the proposed assessments. Documented evaluation is sent through the recording device to the server. The server aggregates receive from the users information about grades and forms the information model of user preferences on the basis of processing of the information about users, information temporary content models and aggregated information on recorded assessments. Standard implementation of the recording device is an electronic device on which the consumer agent, contains the user interface to enter the marks of emotional experiences user. This measuring device can be a mobile phone, on which the consumer agent as an application for the phone operating system. Also a measuring device can be a personal computer. A personal computer can be both stationary and mobile (laptop, tablet network computer). Also to personal computers can be attributed smartphone, personal digital assistant (PDA) or e-book. Consumer agent can be application for an operating system this device. In addition, there are other possible for the consumer agent for the personal computer. If a personal computer contains a web browser, consumer agent can be implemented as a web application. The user receives the access to consumer agent through the web browser. If a personal computer contains software streaming video, extensible with plugins, consumer agent is implemented as a plugin. If a personal computer includes the Blu-ray player with BD-Live, consumer agent is implemented as appropriate BD-J application. Possible to use this method to digital television receiver or digital set-top box with the support of the Internet-services and widgets. In this case, the consumer agent is implemented as appropriate widget, and the user interface uses a remote control to enter the marks of emotional experiences. Also a measuring device can be a Blu-ray player with BD-Live. In this case, the consumer agent is implemented as appropriate BD-J application. In all of the above implementations consumer agent assessment of emotional experiences user are recorded using manual data entry. But are likely other ways to commit assessments of emotional experiences user. For example, if an electronic device is the device with voice enabled, the user interface uses voice commands to enter the marks of emotional experiences. Similarly, in the case of devices supporting the recognition of facial expressions and/or body movements, the user interface uses a sign command to enter the marks of emotional experiences. Thus, in the first version of the present invention describes how to monitor information about a user's preferences with active introduction of user evaluations of their emotional experiences with consumer agent. Credentials include: the name of the content, content type and the way of its delivery to the consumer, content duration. In addition, the identification data contain a pointer to the location of the content. For example, for television content pointer contains the number of the television channel and the scheduled start time broadcast the content on this channel. For Internet content index contains the URL (uniform resource locator on the Internet) content. Metadata consists of time zones and associated with these areas of meta-information that is of interest to the vendor or manufacturer content. An example of such information may be semantic meta-information, which gives the semantic description of the corresponding site content. Time zones can have both a zero and positive duration. In the case of zero duration time zone is considered as a momentary event inside the content. The number of time zones is not limited - they can intersect or overlap. Associated with time zone information can have a different character; for example, it can be a set of keywords. For example, in the case of video, the supplier can mark parts of a film that shows the hidden advertising. Thus, metadata can be represented as a set of correspondences: Time zone l Meta-information The ratio of users to content is determined by the rating of emotional experiences, he has at the time of its consumption. Can be used by different sets of estimates of emotional experiences. The choice of a particular set of admissible estimates depends on various factors, including the type of content consumed, simplicity and precision mapping assessment of emotional experiences emotions user etc. For example, the set of valid assessments of emotional experiences may contain «pleasure», «desire», «suffering», «fear». Emotions user generated in the certain moments of content associated with time content. For example, the emotional experience of the user can be estimated as «fear» at 10-th second of the video, or the 15-th minute of the 16-th minute. Thus, the attitude of users to content can be presented in the form of conformity: Time content l Assessment of emotional experiences user In time consumption by users of the content capture the assessment of their emotional experiences or automatic hardware / software fixing assessments of emotional experiences user from the consumption of content and sending recorded assessments on the server. The user may not be limited in the frequency input estimates emotional experiences that can be recorded with the consumption of content. Aggregate estimates (all of the data stored on the server evaluation) emotional experiences user is bound to time and content. Thanks to this meta-information content and data that reflects the assessment of emotional experiences user, have in common the roving content. This circumstance allows the server to uniquely for each user content to map its assessment of emotional experiences with meta-information: Assessment of emotional experiences user l Meta-information Thus, for each of the content and consuming its user has a set of pairs (assessment of emotional experiences user meta content). The totality of such pairs for whole set of registered content and many users forms an informative model of user preferences. In order to better demonstrate the distinctive features of the invention, as examples, do not have any restrictive below are the preferred options for the realization of this method. For the following examples: - on the server create a database for storage information about users, including identification information, such as user name and password, temporary information content models, aggregated assessments of emotional experiences of the user and of information models of user preferences; - in database, enter the data users and information temporary content model. Example 1. As the recording device you are using a mobile phone or smartphone. The user places the consumer agent as an application for the device operating system. When you run the consumer agent occurs user authorization. She is sending relevant information about a user on the server. For example, this information may consist of a user name and password. The server checks the submitted data and sends the result to check on the recording device. List of content available for consumption, are shown as a list on the screen of a mobile phone or smartphone and the user selects from the it content for consumption. After selecting a content consumer agent displays a device interface for content consumption. This interface allows the user to perform the following steps: 1. Note the time of the beginning of content consumption; 2. Note the time of the end consumption of content; 3. Enter the assessments of their emotional experiences. If this product contains a built-in keyboard, it can be used in the interface of content consumption to select one of the above actions. For example, a set of proposed assessments of emotional experiences may consist of the following ratings: «pleasure», «desire», «suffering», «fear». In this case, the pressed button «1» may correspond to the commissioning of evaluation «pleasure» and etc. If your device contains a touch screen, it can also be used in the interface of content consumption to select one of the above actions. The consumer agent supports any type of content and does not depend on its distribution channel. It is a universal agent. At the moment of the beginning of the content, the user selects the appropriate action («Noted the moment of the beginning of the consumption of content») via an interface to content consumption. On this step, the user agent sends information about your content on the server, which records the time of the beginning of the content that user. During consumption of the content, the user enters on the mobile phone one of the proposed assessments by the action («Enter the assessments of their emotional experiences») interface for content consumption. Consumer agent records entered assessment of the emotional experiences of the user and sends them to the server. It is worth noting that consumer agent can send each assessment to the server immediately after entering the user and accumulate several assessments and then send a group of accumulated assessments on the server. At the time of the end (or pause) the consumption of content, the user selects the appropriate action («Noted the time of the end consumption of content») via an interface to content consumption. On this step, the user agent sends relevant information to the server, which records the time of the consumption of the content that user. For example, the user has selected some content and introduced the following assessments of their emotional experiences with the consumption of this content: «suffering» on 14 seconds content, «desire» to 62 seconds. This metadata is information temporal model that content contain the following markup: time interval (15, 20) corresponds to the keyword (meta-information) «Smoking», and the time interval (53, 67 (C) corresponds to the keyword «Eiffel tower». As a result of analysis the data (corresponding to the imposition of a timeline of aggregated information on recorded estimates and metadata information temporal model of this content) server receives the following elements of information model of user preferences, relevant to the user: (meta-information «Smoking» panel evaluation of the emotional experiences of «suffering»), (meta-information «Eiffel tower» panel evaluation of the emotional experiences of «desire»). Example 2. Example repeats the previous one. The difference lies in using other recording device. As the recording device, use a digital television receiver or digital TV set with the support of the Internet-services and widgets. This device is also used to play the content. In this case, the consumer agent will be the appropriate per-widget. It is worth mentioning that such consumer agent is integrated. Unlike the universal agent example 1 it is integrated with the content and is therefore dependent on the content and its distribution channel. Thanks to closer integration with content when you use such agents do not need to select content - it will be selected automatically. On the other hand, for the same reason, the agent is not applicable to the other type of content. Other examples of integrated agent are plugin for media player streaming video, BD-J application etc. Remote control digital TV receiver is used to manage the user agent and data entry. It is used similarly integrated keyboard device example 1 (button → assessment of emotional experiences): pressing this or that button remote corresponds to the remote relevant assessment of emotional experiences. Example illustrates the second variant of the invention (with automatic monitoring of information about a user's preferences using emotional monitoring). Example 3 repeats the basis of example 1. As a device capable to recognize the movement of the user's body and facial expressions of his game console is used Microsoft Xbox 360 connected with a touchscreen device Microsoft Kinect, which is equipped with a depth sensors, digital video camera and microphone (see b360 + Kinect http://www.xbox.com/kinect ). Tool emotional monitoring is implemented as an application for the Microsoft Xbox 360. Monitoring the emotional state of the user on the basis of the data received from the sensor Microsoft Kinect induced on consumer content. For example, a smile user, recorded and tagged as emotion, may indicate his pleasure with the consumption of content. As a result, automatically receive and record the assessment of the emotional experiences of the user, which are sent to the server for further development (as in example 1) information model of user preferences. Because touch device Microsoft Kinect contains a microphone, similarly implemented by means of emotional monitoring, is able to recognize and analyze the spoken by the user and emotionally coloured words sounds. Video game consoles, Microsoft Xbox 360 connected with a touchscreen device Microsoft Kinect can be used as a recording device with support for voice or gesture commands to enter the marks of emotional experiences. Similar examples can be described in relation to the Blu-ray player with BD-Live, a personal computer, including desktop computers, or laptop, or tablet computer on the network, or a smartphone, or a personal digital assistant (PDA), or e-book. Information model of user preferences may be used to obtain a variety of information, for example, information about a particular user Smoking or information about a specific group of users (for example, men with higher education, 35-50 years) to products of any trademark. Thus, the proposed method, as in the first and in the second case, provides a more in-depth analysis of user preferences on the basis of detailed multi-tiered assessments perception by users of the content. In addition, it is not tied to a specific content type and can be used with arbitrary content. The method does not require a specially designed equipment and can be used with existing everyday consumer devices. 1. Method of monitoring of information about user preferences on the basis of the analysis of the perception of their content, described by that uses recording devices users and the server that stores information about users, including the identification data programmed to create information models user preferences on the basis of processing of the information on assessments of the users of their emotional experiences during the consumption of content, method includes a pre-creation of information temporal model of content that contains identification data of the content and metadata, consisting of time zones and associated with these areas of metadata, and storing it on the server, the method also includes user authentication on the server; the server that user to the list of contents, available for consumption; the choice of the user content from the list by passing the information about the selected content on the server; use of user content with fixing the assessments of his emotional experiences with the input of the recorder of one of the proposed assessments; departure by the register of these estimates to the server; agregatia the server received from users of information about assessments; formation server information models of user preferences on the basis of processing of the information about users, information temporary content models and aggregated information on recorded assessments. 2. Way of monitoring information according to claim 1, characterized in that the said recording device is an electronic device on which the consumer agent, contains the user interface to enter the marks of emotional experiences user. 3. Way of monitoring information according to claim 2, characterized in that the said electronic device is a mobile phone and consumer agent application to the operating system of this phone. 4. Way of monitoring information according to claim 2, characterized in that the said electronic device is a digital television receiver or digital TV console with the support of the Internet-services and widgets, consumer agent - appropriate per-widget. 5. Way of monitoring information according to claim 2, characterized in that the said electronic device is Blu-ray player with BD-Live, and consumer agent - BD-J application. 6. Way of monitoring information according to claim 2, characterized in that the said electronic device is the device with voice enabled, and the user interface uses voice commands to enter the marks of emotional experiences. 7. Way of monitoring information according to claim 2, characterized in that the said electronic device is the device with the support of the recognition of facial expressions and/or body movements and the user interface uses a sign command to enter the marks of emotional experiences. 8. Monitoring method information according to claim 2, characterized in that the said electronic device is a personal computer, including desktop computers, or laptop, or tablet network computer or smartphone, or a personal digital assistant (PDA), or e-book. 9. Way of monitoring information of claim 8, wherein that consumer agent is an application for the operating system personal computer. 10. Way of monitoring information of claim 8, wherein the personal computer has a web browser, and consumer agent is a web application. 11. Way of monitoring information of claim 8, wherein the personal computer contains streaming player, extensible with plugins, and consumer agent is the appropriate plug-in for this player. 12. Way of monitoring information of claim 8, wherein the personal computer includes the Blu-ray player with BD-Live, and consumer agent is BD-J application. 13. Way of monitoring information about user preferences on the basis of the analysis their perception of content, described by that uses recording devices users and the server that stores information about users, including the identification data, and is programmed to create information models of user preferences on the basis of processing information on assessments of the users of their emotional experiences during the consumption of content, method includes a pre-creation of information temporal model of content that contains identification data of the content and metadata, consisting of time zones and associated with these areas of metadata, and storing it on the server, the method also includes user authentication on the server; the server that user to the list of contents, available for consumption; the choice of the user content from the list by passing the information about the selected content to the server; consumption of the user content; automatic monitoring of the emotional state of the user by means of emotional monitoring installed on the recording device; automatic fixation of assessments of emotional experiences user; departure by the register of these estimates on the server; the server aggregation of information received about the assessments; formation server information models of user preferences on the basis of processing of the information about users, information temporary content models and aggregated information about mentioned assessments. 14. Way of monitoring information on item 13, wherein the said means of emotional monitoring is a tool that is able to recognize and analyze facial expressions and/or movements of the user's body. 15. Way of monitoring information on item 13, wherein the said means of emotional monitoring is a tool that is able to recognize and analyze the spoken by the user and emotionally coloured words sounds.
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