RU2681698C2 - System for controlling and optimizing information distribution between users in information exchange system - Google Patents

Abstract

FIELD: information technology.SUBSTANCE: invention relates to automatic control means for controlling the flow of information between information producers and consumers. One control mechanism can dynamically refine the decision to include or exclude information items from the consumer information stream to improve the participation success metrics. One or more system interface request control mechanisms can dynamically provide incentive and limits for the input of audience targets, priorities, preferences, and other data. Further, an administrator may set parameters and select success metrics to balance the goals of the information exchange participants and stakeholders. Also the system can serve to resolve conflicts between the selection criteria of a consumer and the audience targets of a producer.EFFECT: expansion of the range of technical means of controlling the flow of information.26 cl, 10 dwg

Description

Cross references to related applications

This application claims the benefits of provisional patent application No. 61852280, filed March 15, 2013 by Brian D McFadden.

Background

The main drawback in the service sector, where users or participants exchange information, such as social networks, user groups, mailing servers, forums, Q & A services, etc., is the inability to more accurately and optimally regulate the flow of information between suppliers and consumers. There are some methods to make these exchanges manageable and relevant to the participants, but they lack the automated dynamic enhancements needed to potentially optimize or overall improve the goals of the stakeholders. Other services where one group exchanges information with another group, such as a news gathering service, newspapers, magazines, media, advertising networks, blogs, research services, etc. face a similar problem.

One of the partial solutions used by many information exchange systems is the addition of groups, tags, or topics that users who consume information can subscribe to or use to filter the dataset available to them. This improvement is an incomplete solution, since increasing the number of topics to reduce the amount of information received on a topic is still inefficient, as users have to choose between a low amount of information flow and the potential loss of some valuable information elements on secondary topics. After they subscribe to secondary topics, the volume of information will increase and its value will decrease. Even if the interests of the consumer of information are contained in one topic, the degree of variability of interests that can lead to inefficiency, especially if there are many information elements in this topic, will still be preserved.

Another problem, based only on the approach on the topic, is the indication of the choice of those users who consume information. This is especially problematic in light of the change and development of topic ontologies. Often methods are used to obtain preferences or interests that are identified based on previous user actions. A wide selection of techniques is available, both public and private, to identify issues of interest based on past behavior and interaction (for example, the history of clicks and views), recommendations for collaborative filtering, machine learning, and others. These methods provide a number of preferences for the consumer of information, which may contradict or have different ranges of applicability and accuracy of the results. The uncertainty of preferences obtained will also change. To accommodate these types of scenarios, preferences are often ranked and applied in ranking order. This approach has its limitations, including the lack of taking into account dynamic external factors, the state of information exchange, suppliers of the information element and their target preferences for the information element. These and other factors can influence the applicability of the consumer preference for information, especially if there is an uncertainty in the prediction of the resulting preference.

Another problem is the practice of many information exchange systems regarding the reduction or elimination of any restrictions on information providers for entering information elements. This approach maintains the quantity, but also leads to a different quality of add-ons, which ultimately reduces the importance for potential consumers in the exchange system and reduces the problems mentioned earlier. This situation may not change significantly even if there is a monetary value of the supplement. Since payment is a limitation that may be related to quality, it does not ensure the achievement of an optimal level of quality.

Despite the existence of a number of methods for controlling the flow of information for users that allow users to independently regulate the flow of information, in most cases they are not optimal enough, non-dynamic, and inefficient.

Brief Description of the Drawings

FIG. 1. Describes an example of an information exchange system.

FIG. 2. Describes an example of supplier interactions.

FIG. 3. Describes an example of normal user interactions.

FIG. 4. Describes an example of consumer interactions.

FIG. 5. Describes an example of a basic decision matrix with no action priorities; Shows audience goals vertically for the provider and horizontally.

FIG. 6. An example embodiment of a decision matrix with action priorities.

FIG. 7. An exemplary embodiment of the invention with continuous priorities.

FIG. 8. The description includes a region and a threshold line for the grid or decision matrix.

FIG. 9. Describes audience size limits.

FIG. 10. Describes the system interface for entering audience goals.

Detailed description

An example of an information exchange system 29 is shown in FIG. 1. The user 20 of the information exchange system 29 may be an information provider 22, an information consumer 28, or both. The information exchange system 29 delivers the information element 24 from the information provider 22 to the information consumer 28. In the most general definition, the information exchange system consists of one or more suppliers, one or more consumers and a distributor 26. The distributor 26 determines how the information elements go from the provider to to the consumer.

Distributor 26 can take many forms, for example, an information switch, including a simple transition from a publisher to a consumer, from a sender to a recipient, a subscription publication, or any other form where information is transmitted from a provider to a consumer. Distributor 26 will include, for example, cases where a consumer adds to friends or subscribes to one or more suppliers, joins a group, or when a supplier and a consumer agree to subscribe, add to friends, or exchange information with each other and allow the other party to do so same thing. Distributor 26 may support subscriptions or not. If subscriptions are supported, consumer 28 may be subscribed to one, several, or all suppliers. If the distributor 26 does not support subscriptions, the consumer 28 will be able to receive information from all suppliers. One or more suppliers are possible 22. One or several consumers are possible 28. The information exchange system 29 can be a social network, a group in a social network, a distribution server, a news gathering service, a news feed, a newsletter, a digest, offers, notifications, an exchange of announcements, an ad network, an email client, a news reader, a web browser, a portal, or any service that provides a flow of information elements from suppliers to consumers.

A provider 22 is a user 20 who will send, publish, post, add, write, create, send, respond or otherwise send information or make it visible to one or more other users of the information exchange system. FIG. 1 is not intended to show every detail of the information flow.

Information consumer 28 is a user who will receive information elements from suppliers. Consumer 28 may or may not consume the information elements available to him.

Please note that the supplier and consumer of brands are associated with the production and consumption of information, and in no case involve commercial relations.

Information element 24 may be a message, email, notification, response, video clip, sound recording, news, article, history, requirement, offer, advertisement, URL or any other form of information interaction that the supplier sends or makes available to the consumer.

An information stream is a collection or a set of information elements delivered sequentially or together to a consumer 28, either directly or by investment, by means of, among others, printing, email, web feeds, mobile messaging, video, audio, television and broadcasting or using any other means of information delivery.

In FIG. 3 shows an example of an information exchange system 29, where a user 20 can enter user profile data 64 into a system interface for entering a user profile 61. A system interface for entering a user profile 61 stores a user profile 60 in a user profile memory 62. The user profile memory may be internal in relation to the information exchange system external to the information exchange system or a combination of internal and external. The user profile data set obtained by the system 63 can also be stored in the user profile memory 62, and in some systems, the user may not enter any user profile data.

User profile 60 includes available user information, not limited in form. This includes, among other things, behaviors, biographical, demographic, historical data, ratings, reviews, location, or other general or specific information from internal and external sources in relation to the information exchange system 29. The form for storing a user’s profile includes relational databases data, name-value pair, NoSQL, hierarchical data, objects, nested objects, nested hierarchical data, or a combination of databases in one source or in multiple sources. When accessing through the application interface, the user profile 60 may be represented using XML, JSON, CVS, or any other representation of the data.

Consumer 28 in FIG. 4 may enter the data of selection criteria 66 into the system interface for entering selection criteria 68, and selection criteria 65 are stored in the memory of selection criteria 67. Selection criteria 65 may indicate the type or set of information elements that the consumer is potentially interested or not interested in receiving. The system interface for entering selection criteria 68 stores the selection criteria in the memory of selection criteria 67. The memory of selection criteria 67 may be internal to the information exchange system 29, external to the information exchange system 29 or a combination of external and internal. Selection criteria may also include selection criteria obtained by system 69, which may also be stored in the memory of selection criteria 67. In one embodiment of the invention, selection criteria may be stored with user profile data, and user profile memory and selection criteria memory may be same.

In one embodiment of the invention, the memory of the selection criteria and the memory of the user profile can be in continuous memory for quick access and processing.

In FIG. 2, the goals of audience 50 define a number of consumers or the audience that supplier 22 wanted or would not want to reach. The interface of the system for entering audience goals 44 interacts with the supplier restriction control loop 46 and the audience target 48 query control loop. Supplier restriction control loop 46 and control loop requests of goals of the audience 48 regulate the goals of the audience 50 included in the information element 24, which must be processed in the distribution subsystem 52.

The system interface for inputting the information element 40 receives the information element 24 from the provider 22. The metadata request control loop 42 interacts with the system interface for entering the information element 40 and adjusts the amount of additional descriptive data that is collected when the information element 24 is input. The distribution subsystem 52 processes the information element 24, audience goals 50, scorecard 54, user profiles from user profile memory 62, and selection criteria from memory criteria in the selection, to determine that consumers should receive or view information items as described below. Indicators 54 may represent the obtained measurements, statistics and parameters in direct or computer form from one or more internal or external sources with respect to the information exchange system.

In one embodiment of the invention, the distribution subsystem 52 and the distributor 26 may be the same. In another embodiment, they can be separated.

Work description

In one embodiment of the invention, the system described herein is an information exchange system or an integral part of an information exchange system. In another embodiment, the system will exist separately from the information exchange system as a subsystem interacting with the information exchange system, as described below.

In one embodiment of the invention, the system is computer coded software running on a computer system. A computer system can be any combination of one or more hardware systems of a physical computer, physical servers, devices, mobile devices, processors, auxiliary processors, embedded processors, workstations, desktop computers, virtual devices, virtual servers, virtual machines, or the like associated hardware with an existing operating system suitable for the specific hardware, and in the case of ultiple units hardware - interconnected by a private network or a public network.

In one embodiment of the invention, the system can operate as a self-regulating automatic control system.

Provider

In one embodiment of the invention, the provider may enter the information element 24 into the system interface for inputting the information element 40. The information element consists of the content and the page description meta tag. The content may include a summary, title, full history, image, video, audio, multimedia or other primary object of information delivery. A page description meta tag may include an annotation, source, keywords, authors, author’s signature, related links, topics, objects, types, restrictions, prices, or any other fields or objects or hierarchical data used for classification, categorizing, tracking, identifying or otherwise describing the content and information element. In one embodiment, the metadata description and the information element may be the same.

In one embodiment of the invention, the supplier can enter the target of the audience into the system interface to enter the goals of the audience 44. The target of the audience describes the consumers that the supplier wanted or would not want to reach. The audience target specification may refer to any aspect of the user profile to indicate a potential consumer. The audience goal will indicate whether the user corresponding to the audience goal should receive the information or not. In one embodiment of the invention, the system interface for inputting an information element and the system interface for entering an audience target may be the same.

In one embodiment of the invention, the supplier may indicate one or more additional goals of the audience as desired. The first goal of the audience is the main set of users that the consumer wants to include or exclude. Each additional audience may have lower priority than the previously selected audience.

In one embodiment, the provider 22 can create an audience target and priority by selecting one or more parameters from the available data in the consumer user profile and prioritize the values of each discrete parameter and the range of values for continuous parameters. The minimum and maximum values for all combinations of field values can be used to determine the scaled priority scale.

In one embodiment of the invention, the supplier can make the first target the largest audience that he wants to reach. The system can set a limit that is less than the size of the audience indicated by the first goal of the audience. In one embodiment of the invention, the restriction can be determined by the context of the message, the past history of interaction with previous messages from the provider and current system-wide metrics. In another embodiment, the system may adjust the restriction in exchange for a payment or any other concession from the supplier.

In one embodiment of the invention, the supplier may indicate the additional purpose of the audience to reach an audience that is closer in size to the restriction. If the audience size is smaller than the limit, the audience’s goal can be used as an entered and assigned priority. In one embodiment, if the size of the audience is greater than the limit, the system will refine the goal so that the audience’s goal meets the requirements of the restriction or adjusts the priority of the audience’s goal. In another embodiment, the system may adjust the priority for the purpose of the audience if the size exceeds the limit. In another embodiment, the supplier may scale the priority based on one or more discrete or continuous parameters used in the consumer profile.

In one embodiment, the provider may have an archive of predefined audience goals that can be selected instead of entering and creating new audience goals.

In one embodiment, the information elements and goals of the audience can be sent to the distribution subsystem. In one embodiment of the invention, the distribution subsystem may be combined with a distributor of an information exchange system. In another embodiment, the distribution subsystem may be external to the distributor of the information exchange system.

In one embodiment, the goals of a supplier audience may be required. In another embodiment of the invention, the goals of the supplier’s audience may be optional.

In one embodiment, suppliers may use visual input indicators to indicate audience goals and priorities for specific profile attributes. For example, the goal of an audience with higher priority goals based on years of consumer experience. In another embodiment, suppliers can use visual drag and drop elements to rank audience goals and prioritize audience goals.

In one embodiment of the invention, an audience target entered by a provider can be applied to one information item, multiple information items, or to all information items of that provider.

In one embodiment, the supplier may be a stand-alone agent.

User

In one embodiment, the user, supplier, and consumer can enter data in user profile 60. In another embodiment, user profile 60 may also include system data and user information, including, but not limited to, characteristics, behavior, history, location or any other information that the system can record or calculate for the user. In another embodiment, the user profile may also include external information obtained from external systems, including, but not limited to, characteristics, behavior, history, locations, records, or any other information that can be obtained or calculated from external systems or to Combined with internal profile data. In another embodiment, a user profile may have data from all data sources.

The user of the information exchange system 20 can enter user profile data 64 into the system interface for entering user profile 61. The system interface for entering user profile 61 stores user profile data 64 in user profile memory 62. In one embodiment, the user profile memory may be part information exchange systems 29. In another embodiment of the invention, the user profile memory 62 may be external to the information exchange system 29. In another embodiment of the invention, the user profile memory 62 may be allocated between the information exchange system 29 and to be external to it. In one embodiment of the invention, the external user profile data and data received from the system 63 may be stored in the user profile memory 62.

Consumer

In one embodiment of the invention, the consumer can enter selection criteria that determine the type of information element, and can also determine the type of provider. In another embodiment, the selection criteria may indicate only the type of information element or type of provider. In one embodiment of the invention, a consumer may introduce actions for selection criteria to indicate that information items that meet the criteria are items that they would like to receive or not to receive. In another embodiment, an action assigned to selection criteria can be assigned by the system based on consumer behavior. For example, when a consumer expresses interest in related items or a metadata topic.

A consumer may enter more than one selection criteria. In one embodiment of the invention, if more than one selection criterion is indicated, a consumer may indicate a priority to determine how important this criterion is. Priorities can be expressed by arranging criteria or by choosing to enter priority preferences. In another embodiment of the invention, the priority of the selection criteria may be assigned by the system based on the context of the entered or received selection criteria or behavior, history or actions that led to the creation of the selection criteria.

Selection criteria may also overlap and contradict one another. For example, a contradiction between the criteria can arise if the two selection criteria coincide, and one criterion includes a specific element, and the other criterion excludes it. In one embodiment, a contradiction can be resolved by giving preference to the selection criteria of the highest priority. In one embodiment of the invention, the priorities can be combined into a mathematical function to determine the priority with an additional multiplication of the priority of the exception by -1. This feature may be of greater importance for higher priorities or may simply average priorities. If both priorities are the same in the event of a contradiction, it can be considered unresolved or open. In another embodiment, the contradiction can be resolved using a system depending on the optimization criteria discussed below.

In one embodiment of the invention, the selection criteria and priorities for the selection criteria may be determined based on characteristics, historical, behavioral or location data of the consumer. In another embodiment, selection criteria and priority may be determined based on predictive statistical methods. In another embodiment of the invention, the selection criteria entered by the consumer can be combined with selection criteria determined by all other means.

In one embodiment, priorities may be set in the system for each selection criterion. In another embodiment, the system sets a default priority for selection criteria that can be changed by the consumer.

In one embodiment of the invention, the processing of consumer selection criteria may be integral with the distributor of the information exchange system. In another embodiment, the processing may be external to the default allocator.

In one embodiment of the invention, consumer selection criteria may be entered by a person. In another embodiment, selection criteria can be entered using a stand-alone agent.

A consumer can enter selection criteria into the system interface to enter selection criteria. The system interface for entering selection criteria 68 stores the selection criteria in the memory of selection criteria 67. In one embodiment of the invention, the memory of selection criteria 67 may be part of an information exchange system. In another embodiment, the memory of selection criteria 67 may be external to the information exchange system. In another embodiment of the invention, the memory of the selection criteria 67 may be distributed between the information exchange system and be external to it. In one embodiment of the invention, selection criteria 69 received from the system may be stored in the memory of selection criteria 67.

In one embodiment of the invention, consumers use visual drag and drop elements to rank selection criteria and prioritize selection criteria.

In one embodiment, the consumer may be a stand-alone agent.

Decision matrix

In one embodiment, the decision matrix 70 may be used to determine if information element 24 should be included in consumer information stream 28.

FIGURE 5 shows the decision matrix 70a for the main case without any audience target priorities or selection criteria priorities.

In FIG. 5 horizontally shows the actions of provider 22 for two purposes of audience 50.

The two objectives of the audience 50 are for the actions "send" and "do not send." The letter “S” indicates the action “send”, and the letters “DS” indicate the action “do not send”. The letter “O” for opening indicates the case when the purpose of the audience is not applied to consumer information.

In FIG. 5 vertically shows the actions of the consumer for the two selection criteria 65. The two goals of the audience 50 are for the actions "need" and "do not need". The letter “W” means the action “necessary”, and the letters “DW” indicate the action “not necessary”. The letter “O” for opening indicates a case where selection criteria 65 do not apply to information element 24.

In FIG. 5, the decision matrix 70a is used to indicate when the information element 24 should be included in the information stream of the consumer 28 or excluded from the information stream. The letter "I" in the decision matrix 70a indicates the inclusion of the information element 24 in the information stream, and the letter "E" indicates the exclusion of the information element 24 from the information stream. The symbol "?" Means that the system can decide whether the information element 24 is turned on or not.

In FIG. 6 is a continuation of the table shown in FIG. 5 to show priorities for audience goals 50 and selection criteria 65. The goals of the audience of supplier 50 are again vertical and consumer selection criteria 65 horizontal. Supplier audience targets 50 are shown with combined action and preference priority. The letter "H" means high priority. The letter "M" means medium priority. The letter “L” means low priority. In FIG. 6 shows six actions of audience goals and a combination of priorities for supplier 22. Shows six actions of selection criteria and a combination of priorities for the consumer. Like in FIG. 5, the table also shows the case where no action objectives 50 are applied to the information element 24 and the case where the selection criteria 65 are not applied to the information element.

The decision matrix 70b has the same meaning as in FIG. 5, but with the addition of combined characters to show cases where the system can bypass the default value. The symbols “I?” Indicate the case when, in one embodiment of the invention, the default value will include an element in the stream, but the system may decide to switch the decision. The symbols "E?" Indicate the case when, in one embodiment of the invention, the default value will exclude an element from the stream, but the system may decide to switch the decision. Other characters shown in FIG. 6 have the same meaning as in FIG. 5.

There are no restrictions on the number of discrete priority levels that can be assigned to audience goals 50 or selection criteria 65. In addition, lower priority levels may be allowed to make combinations between tables in FIG. 5 and FIG. 6. For the decision matrix 70 with a discrete priority level, the system can choose which cells to bypass.

In one embodiment, priorities can be determined based on a continuous function of variables from the user profile of the provider 60, the user profile of the consumer 60, meta tags for the information element 24 of external factors, or any other data available to the system. Priorities based on a continuous function can be of any scale, and the scale can be infinite or fixed or reduced, for example, reduced to zero for one interval.

In the case of continuous priorities, the decision matrix 70 s may contain a logical function for each combination of actions for provider 22 and consumer 28 in the decision matrix 70 s, as shown in FIG. 7. The logic function can evaluate the priorities for the actions of the supplier and the consumer along with other factors discussed below to determine whether information element 24 is included or excluded from the stream.

Any combination of decision matrix 70 shown in FIG. 5-7. For example, a consumer may have several priority levels for the “need” action, one priority for the “no need” action, and the supplier may have a continuous priority for the “send” action and three priorities for the “do not send” action.

In one embodiment of the invention, processing the decision matrix 70 may be integral with the default allocator 26 of the information exchange system 29. In another embodiment, processing the decision matrix 70 may be external to the default distributor 26. In one embodiment, the invention decision matrix processing 70 may be distributed between the default allocator and the external process. In another embodiment, the decision matrix 70 may be partially evaluated to identify eligible customers, and the remaining processing of the decision matrix 70 may be performed to clarify consumers who will include the item in their stream.

In one embodiment of the invention, the supplier sees descriptions for the priorities “do not send” like “never send”, “I prefer not to send”, “well, if they receive it without inclusion in my calculations” translating into high, medium and low priority.

In one embodiment of the invention, priorities for consumer actions “need” can be represented with descriptions like “must have”, “agree to have”, “give me if this can be important” translating into high, medium and low priority.

In one embodiment, the decision grid 70d is a decision matrix 70 for the case of discrete, continuous, or mixed priorities as a two-dimensional interval with a range of [1, -1] for each measurement. Actions for “no need” and “do not send” multiply their priorities by -1, and the open case is represented by 0. A two-dimensional interval is equivalent to any non-specified two-dimensional interval. The threshold line 71 separates the interval from the inclusion region 72 and the exclusion region 73. The threshold line or boundary can be obtained from indicators 54 and can be represented as a threshold function, display, or ratio.

In one embodiment, the exclusion region 73 can be divided into an achievable exclusion range and an unattainable exclusion range. An achievable exclusion range can be defined as part of the exclusion area below threshold line 71. An achievable exclusion range can also be defined as part of the exclusion range that can be achieved by the provider if the supplier can increase the priority of the audience target corresponding to the consumer.

In one embodiment, there may be priority boundaries in a decision grid or decision matrix where the threshold line cannot intersect.

In the discrete case, the threshold is a set of cells that form the boundary of the inclusion region 72 and the exclusion region 73. For example, in FIG. 6. the threshold set will be a border along any row or column where there is a transition from inclusion to exclusion. A range or subset of decision matrix 70 is a collection of cells or regions in a two-dimensional interval.

Using indicators

In one embodiment of the invention, indicators of consumer participation can be used as a measurement of the consumption of an information element or interaction with an information element. Consumer participation indicators can be obtained or calculated on the basis of views, interactions, clicks, discoveries or any other indicator of consumption of an information element by a consumer and can be useful for exchanging information. In one embodiment, the participation metrics may be accurate. In another embodiment, participation rates may be evaluated. In one embodiment of the invention, the participation indicator may be the number of elements participating in a given period.

In one embodiment of the invention, indicators of consumer participation useful for exchanging information over specific periods may be stored in a database. In one embodiment of the invention, all accumulated data used to calculate or obtain indicators of consumer participation can be stored in a database.

In one embodiment of the invention, the participation rate for the consumer of information 28 can be calculated as the number of participating information elements divided by the number of delivered or sent information elements or information elements presented to the consumer over a certain period (for example, per day). In one embodiment, the participation rate can be obtained from other sources, including research, monitoring, and other internal and external indicators.

In one embodiment, the accumulated participation rate can be calculated for each consumer. The accumulated participation rate can be calculated in any way based on previous customer participation. For example, using a weighted history, moving average or other calculations. Multiple dimensions of accumulated participation can be used. In one embodiment, the accumulated participation rate for each consumer may be stored in a database. In one embodiment of the invention, all of the accumulated data used to calculate or obtain a consumer participation rate can be stored in a database.

In one embodiment of the invention, the value of the consumer item for the information item can be estimated for the consumer using a priority set based on consumer selection criteria. In one embodiment of the invention, the priority of the information element may be the highest priority of the respective selection criteria. In another embodiment of the invention, the value of the consumer item can be calculated based on the priority of the overlapping selection criteria. In one embodiment, the value of an element can be calculated based on priority and other metrics.

In one embodiment of the invention, a priority to value mapping for a consumer may be used. In another embodiment, the consumer value and priority can be considered equivalent.

In one embodiment of the invention, it is possible to calculate the average value of a consumer item for a specific time period. The average value of a consumer item can be calculated as the sum of the values of the consumer items for the participating items during the period, divided by the number of participating items during the period. In one embodiment, the weighted average value can be used to calculate the average value of a consumer item with values depending on the metadata of the information item or other metrics. In one embodiment, the historical time series of the average value of a consumer item can be calculated. In one embodiment, the historical time series of the average value of a consumer item may be stored in a database.

In one embodiment, historical time series of the average value of consumer items can be used to estimate the expected value of a customer item for an information item that the consumer has not yet received. For this assessment, you can use several special formulas to exchange information. For example, using a weighted history, moving average or other calculations. You can use several dimensions of the expected value of an element. In one embodiment of the invention, the expected value of the element can be calculated based on the historical average value of the consumer element and other indicators.

In one of the embodiments of the invention, the expected value of the element can be calculated or obtained on the basis of research, opinions, analyzes and other indicators.

In one embodiment, a predicted participation rate can be calculated. In one embodiment of the invention, the predicted participation rate can be obtained based on statistical or predictive analysis using the accumulated participation rate and internal and external indicators and signals. In one embodiment, the predicted participation rate may be the same as the accumulated participation rate.

In one embodiment of the invention, the participation forecast display may relate the expected value of the element to the predicted level of participation. The projected level of participation may represent a number of information elements in a specified period. The participation forecast display may be a discrete, continuous, or mixed logical function or display. In one embodiment of the invention, statistical methods suitable for exchanging information can be used to calculate and derive a formula or display of predicted participation using the expected value of a consumer item and additional internal and external indicators and signals. In one embodiment of the invention, the display of the participation forecast can be determined using indicators of other consumers.

In one embodiment, the inverse of the participation forecast can be used to relate the level of participation to the expected value of the item.

In one embodiment of the invention, the value of the item per consumer may be a value to the provider for accepting and consuming the information item by the consumer. The value of the provider item can be calculated using the priority set based on the audience’s goals for this information item. In one embodiment of the invention, the value of the supplier item for the consumer can be calculated based on priorities and other metrics.

In one embodiment of the invention, priority mapping to the value of the provider item to the consumer can be used. In another embodiment, the supplier value and priority may be considered equivalent.

In one embodiment of the invention, it is possible to calculate the distribution of information elements in a two-dimensional decision matrix 70 or a decision grid for each consumer. In one embodiment, the historical distribution may record the number of information elements over a period of time for each point in the decision matrix 70 or decision grid 70d. Any number of methods specific to the exchange of information can be used to record the historical distribution based on historical data. For example, using a weighted history, moving average or other calculations. Several distributions are possible, and they can be used for various purposes in calculating other indicators. In one embodiment, aggregations of distributions of all information consumers can be used.

In one embodiment, the historical distribution of information elements and optional additional indicators can be used to calculate the predicted distribution of information elements for a consumer in the current or future time period. In one embodiment, the distribution of information elements for a specified future period may be predetermined.

In one embodiment of the invention, the target expected value of the consumer item may be calculated based on indicators to determine the desired expected value of the information item for each consumer.

In one embodiment, the threshold line 71 of the decision matrix 70 or decision grid 70 can be calculated using the predicted distribution of information elements for the consumer, mapping priority to value for the consumer, mapping priority to value for the supplier, mapping the forecast for participation, the value of the expected consumer item, the target expected value of the item or other metrics.

In one embodiment, an exchange value function may be indicated to show a combined exchange value for each grid point. For example, the function of the exchange value can be T (p, s) = ap + bc, where p = value of the supplier, c = value of the consumer, a = 1 if p> 0 and 2 if p <0, b = 1 if c> 0 and b = 2 if c <0. Functions of this type compromise when the value of a consumer item or the value of a vendor item is negative. Other functions may be used depending on the purpose of the exchange of information, and the function may vary depending on the consumer, time parameters, or other internal or external parameters specific to the exchange. In one embodiment of the invention, the exchange value function may determine priority boundaries.

In one embodiment of the invention, the number of information elements in the area of distribution of information elements can be calculated as the sum of each point in the area. For example, the distribution may mean that the number of elements for 5 points defining a specific area is 5, 4, 7, 3, 11. The sum of the information elements in this area is 30.

In one embodiment of the invention, the average consumer value over the distribution area of information elements can be calculated as the sum of consumer values multiplied by the distribution value at each point in the area divided by the number of information elements in the area.

In one embodiment, a threshold line 71 may be calculated to distribute information elements as an area within the decision grid 70d, where the predicted level of participation based on the predicted participation display for a specific expected element value is approximately equal to the number of information elements in the area. In one embodiment of the invention, the indicated expected value of the element may be the average value of the consumer over the distribution area. In another embodiment, the indicated expected value of an element may be determined based on internal and external indicators.

In one embodiment, the inclusion region 72 can be selected for a given distribution of information elements by dividing the grid of decisions 70d into discrete points. For example, dividing the priority axis of the consumer and the solution provider by 10 will give 20 × 20 or 400 discrete points. For decision matrix 70, cells are used as discrete points. Secondly, the function of the exchange value at each discrete point in the decision grid is estimated to determine the points that will be primarily included in the region. Thirdly, it is necessary to establish a sequence through the points in decreasing order of preference and calculate the number of information elements by region gradually at each point, and also calculate the expected value of the element using the average value of the consumer over the region or other indicators to obtain the expected value of the element. Fourth, it is necessary to evaluate the projected level of participation based on the display of the projected participation for the indicated expected value of the element, and stop if the projected level of participation is less than the number of elements. Fifth, it is necessary to use the processed points to determine the region of inclusion 72 and the threshold line 71.

In one embodiment of the invention, the distribution of information elements that may be relevant to the consumer may be stored in a database. Distributions can be updated in real time. The threshold line 71 may be updated in real time, as a change in distribution or other indicators.

In one embodiment, the collection of consumer data may include criteria for selection, distribution, decision matrix, threshold line, and other consumer metrics. In one embodiment of the invention, consumer data collection can be stored in continuous memory for quick access and processing.

In one embodiment of the invention, a method of requesting consumer audience information may be used to evaluate an information element, audience goals, collect consumer data, or other internal indicators to determine a series of consumer audience information, which may include, among other things, consumer priority, vendor priority for this consumer, vendor priority on the threshold line (if applicable) and range indicator (exclude, enable or disable achievable).

In one embodiment, requesting consumer audience information may use a list of meta tag groups, fields, and values to evaluate how consumer priority responds to meta tags. The method of requesting consumer audience information can logically evaluate the list of meta tag groups, fields and values by selection criteria to determine the consumer priority that will be assigned to each meta tag option in the list, and may also include appropriate combinations. Response of consumer priority to meta tags may include priority levels of items in the list, and may also include brief information on fields, groups and selection combinations.

In one embodiment of the invention, the method of requesting audience information may evaluate the method of consumer audience information for each consumer in order to calculate and combine a series of audience information. Audience information can be presented for the metadata management loop, the audience restriction management loop, the audience goals management loop, the system interface for entering audience goals, or the system interface for entering an information element.

In one embodiment of the invention, a statistical selection of consumer selection criteria of sufficient size and collection of consumer data instead of actual consumer data can be used to provide an assessment of audience information.

In one embodiment of the invention, audience information for particular audience goals may include, but is not limited to, the original audience size, increasing audience size, total audience size, introduced audience size restriction priority, audience size in the inclusion range, audience size in the achievable exclusion range, or change medium priority vendor needed to break out of reachable exclusion area. Audience information for all specified audience goals may include, but is not limited to, the maximum audience size for all goals or the total size for all goals. Audience information for an information item may include, but is not limited to, distributing consumer priority for the information item, aggregate user profile statistics for specific priority ranges, or responding to meta tags.

In one embodiment, the response of consumer priority to meta tags can be combined and summarized for all consumers to respond to meta tag values.

Control loops

The set of control loops uses indicators 54 to control the flow of information elements in the information exchange system. Indicators are measurements and parameters that can be internal or external to the information exchange system. Sample internal metrics include, but are not limited to, metrics related to the supplier, customer, system information flow, or information exchange in general. External indicators of the sample include, among other things, reports on important sporting events occurring on that day, difficult weather conditions, the day of the week, political or business events taking place, the assessment of news and information flows or activities external to the exchange of information, flow activities in external information exchange systems, historical forecasts, statistics or any other relevant data.

In one embodiment, several control loops may be included. In another embodiment, there may be one control loop. In another embodiment of the invention, there may not be a control loop.

Decision matrix control loop

In one embodiment, the decision matrix control loop adjusts the threshold line 71 or the boundary of the inclusion region 72 and the exclusion region 73 in the decision matrix 70 or decision grid 70d to improve or maintain a set of success indicators.

In one embodiment, if a point in the decision matrix 70 or decision grid 70d, represented by the priority of the selection criteria and the priority of the audience’s goal, is within the scope of the inclusion region 72 defined by the threshold line 71 for the consumer, then the information element is included in the consumer’s information stream.

In one embodiment of the invention, the decision matrix control loop may use a set of success indicators obtained from a consumer, supplier, information element, audience goals, external sources, or from the system as a whole. Consumer-related indicators include, but are not limited to, information processing time, estimated missed information items, participation rates, participation rate, average priority of selection criteria for the information stream for the current and past period, expected value of the consumer item, predicted level of participation, or others consumer indicators. Supplier-related indicators include, but are not limited to, user profile data, including historical, behavioral, and supplier characteristics. Indicators from external sources may include, inter alia, reports on important sporting events occurring on that day, difficult weather conditions, the day of the week, political or business events taking place, an assessment of news and information external to the exchange of information, or any factor considered to be related to the forecast of consumer attention and focus. In another embodiment, only some of the indicators or only one indicator can be used.

In one embodiment, the decision matrix control loop may be part of the distribution subsystem 52.

In one embodiment of the invention, for each information element 24 processed by the decision control loop, it is possible to obtain the consumer priority from the selection criteria of consumer 65 and the priority of the supplier from the goals of the audience 50 for this information element.

In one embodiment, a plurality of information elements can be processed simultaneously as a distribution of information elements in a decision grid 70d or decision matrix 70, and an inclusion region 72 can be calculated to determine which information elements can be included in the consumer information stream.

In one embodiment of the invention, information elements may be delayed or queued so that they can be evaluated together as a distribution of information elements.

In one embodiment of the invention, the calculated value of the probability that the information element will be skipped, which means that it will be received, but will not be processed by the consumer, can be obtained based on indicators. The system limit for the probability of missing an information element can be obtained based on indicators. In the indicated range or subset of the decision matrix 70, if the calculated value of the probability of missing an information element is higher than the system restriction for this assessment, the information element is excluded. In one embodiment, within the specified range or subset of the decision matrix 70, if the value of the consumer item is greater than the expected value of the consumer item, the information item is included.

Supplier Constraint Management Circuit

The supplier restriction management loop 46 defines an audience size limit for the audience of the provider 50 at a certain priority level.

In FIG. 9 shows an embodiment of the invention in which an audience size restriction can be represented as a display of an audience size restriction 75. An audience size restriction display 75 can be used to obtain a priority for a given audience size or to obtain an audience size for a given priority. The display of audience size limits 75 may be a function or ratio between priority and audience size limits. The mapping may be continuous, discrete, or mixed. Figure 9 shows the display of the size limit of the audience 75 in the form of a continuous display.

In one embodiment, the display of audience size restriction 75 may first be determined by indicators 54. Indicators 54 may include, inter alia, the current number of information elements passing through the system, the relative number of consumers receiving too few or too many elements, or the predicted number of information elements going through the system in the future. The display of audience size restriction 75 can be adjusted using metadata and the content of information element 24 and refined using indicators from the supplier’s user profile, which include, but is not limited to, expertise, background, reputation, number of previous shipments by the supplier, interaction rates, or characteristics of past information elements, sent by the supplier.

In one embodiment, the display of the size limit of the audience 75 may be dynamically determined in real time. In one embodiment of the invention, the display of the size limit of the base audience can be set using the administrator, and the base set of levels can be adjusted or not adjusted in the control loop of the restrictions of the supplier 46.

In one embodiment, the maximum size of the audience 76 can be determined based on the largest restriction to display the size limit of the audience 75 with a positive priority. In one embodiment, the total audience that a supplier can reach cannot exceed a maximum audience size of 76.

In Fig. 10 shows one embodiment of a system interface for entering audience goals 44. Options 90 allow a provider 22 to create an audience target 91, edit an audience target 92, rearrange an audience target 93, manage an archive of an audience target 94, view information about an audience target 95, view audience size limits 96 or complete the process after execution 97.

In one embodiment, the provider 22 may interact with the constraint management circuit of the provider 46 to first create an audience target or retrieve an audience target from the archive. After entering the first target of the audience, you can evaluate the target of the audience, and information about the goals of audience 95 can be viewed and processed by the supplier 22. The supplier 22 can accept the priority level, reorder the goals 93 or edit the target of the audience 92. If the priority level for the audience target is accepted, then the supplier has the ability to introduce an additional audience goal. If the provider introduces an additional audience target, you can repeat the process used for the first audience target. If the combined audience from all audience goals exceeds the maximum audience size 76, the supplier can reorder the goals of audience 93 or edit the goals of audience 92. In one embodiment of the invention, each additional audience target may have a lower or higher priority than the first entered audience goal, depending on the order and action of the audience’s goal.

In one embodiment of the invention, the goals of the audience can be evaluated in the order specified by the supplier to determine the increasing size for this purpose of the audience. The increasing audience size may be the size of an additional audience that can be reached with each subsequent audience goal. In FIG. 9 ordered audience goals are shown as A1-A5. As an example, consider audiences for audience goals A1, A3, and A4 as audience targets when a supplier wants to include or send an information element and A2 and A5 as audience targets when a supplier wants to exclude or not send an information element. The audience for A1-A5 purposes is evaluated in order to get an increasing size. The increasing size of the audience’s goals with the inclusion action (A1, A3, and A4 in this example) can be accumulated in descending order to get the total size for the audience’s goal. A growing audience excludes any consumer who meets one of the goals of a higher order audience. In one embodiment, the total size of the audience’s goals with the inclusion action also adds an increasing size to the audience for this purpose. The total size can be estimated based on the display of the size limit of the audience 75, to determine the priority for this purpose, the audience. In FIG. 9, audience targets A1, A3, and A4 have assigned priorities P1, P3, and P4, respectively. In one embodiment, the total size can be used as the search size in order to obtain priority based on the display of audience size restrictions 75. In one embodiment, the total size can be adjusted by part or all of the increasing size.

In one embodiment, the increasing size for the purpose of the audience with the exception action (A2 and A5 in this example) can be summed up in order to get the total size for each goal of the audience with the exception action. In one embodiment of the invention, the total size for the purpose of the audience with the exception action does not add an increasing size for this purpose of the audience. The total size can then be estimated based on the display of the size limit of the audience 75, to determine the priority for this purpose, the audience. In FIG. 9, audience goals A2 and A5 have assigned priorities P2 and P5, respectively.

In one embodiment, the supplier may assign any priority to audience goals with an exception action.

In one embodiment of the invention, the goals of the audience can be automatically adjusted to improve the size of the audience, using the display of restrictions on the size of the audience, firstly, by identifying the audience that will be included at a low priority; secondly, by forming an audience goal for an identified audience; thirdly, directly by assigning a priority to this goal to the audience and placing it in the appropriate order to the goals of the audience; and fourthly, by excluding an increasing audience based on the total size, and excluding it from increasing calculations of subsequent goals.

In one embodiment of the invention, the goals of the audience with the inclusion action can be processed, provided that the priority is> 0. In one embodiment of the invention, the goal of an audience that could accumulate sizes that exceed the maximum size of the audience 76 is less than the increasing size for the purpose of the audience, can be limited by the system to a size that will not exceed the maximum size of the audience 76. In another embodiment, the supplier may be able to clarify the purpose of the audience that crossed the restriction.

The audience size for the purpose of the audience may be an estimate in one embodiment of the invention or an exact number in another embodiment of the invention.

In one embodiment, the number of audience goals may be limited.

In one embodiment of the invention, the supplier introduces one or more audience goals. The system automatically ranks audience goals by audience size and prioritizes using the above methods.

In one embodiment of the invention, the provider may indicate a preference precedence over a range of user profiles in the form F (X), where X is a user profile from a range of characteristics of user profiles. For example, specifying the age from 30 to 40, where 30 is the most preferred age. By using F (X) you can get the rating of each potentially targeted user profile. The mapping between priority in the interval [0,1] and the mapping of audience size limit 75 is used to prioritize each increasing goal from highest to lowest rank and stop when reaching a maximum audience size of 76 or X range.

Methods for Defining Audience Size Limit Mappings

In one embodiment of the invention, the mapping of audience size restrictions 75 can be determined using the inverse integral distribution function for the population density of the consumer relative to the priority in the above interval [-1.1] for the information element. The inverse integral distribution function is the number of consumers whose selection criteria will register a given or higher priority for the information element. The consumer population density for an information element is the number of consumers at each consumer priority level. It can be obtained by accumulating consumer estimates at each priority level. The inverse integral distribution function can then be obtained based on the summation of population density, starting from the top of the interval [-1.1]. In one embodiment, only population density and the inverse integral distribution function over the interval [0,1] may be needed. In one embodiment, consumers with similar selection criteria can be assembled in the above representation with representative selection criteria and the number of consumers. Thus, it is necessary to evaluate only one representative of the consumer for many such consumers. In one embodiment of the invention, the inverse integral distribution function can be used directly as an indication of audience restriction. In another embodiment, the inverse cumulative distribution function may be scaled or adjusted before use as a display of audience restriction. The advantage of using the inverse integral distribution function is that it provides higher restrictions for the supplier 22, which have a natural consumer priority for information element 24. For example, a popular seller providing an information element about free souvenirs or a popular news organization with exclusive material can have large the number of consumers of information is 28, which give high priority to the receipt of such information elements. In this case, the supplier does not need to enter any audience target at all, because the default priority level is already quite high. On the other hand, the seller of products with information element 24, which is a marketing message that is relevant only to a small group of information consumers, may have a narrow display of audience restrictions and may need to introduce very specific audience goals.

In one embodiment of the invention, displaying audience restrictions can be determined based on the supplier’s dispatch history, past activities, and keywords or other mechanical analysis of the information element.

In one embodiment of the invention with discrete or continuous audience size restrictions, display parameters of audience size restrictions can be determined based on indicators. For example, in the case of continuous restriction, you can use a linear relationship between size and priority, and indicators will determine the slope and intersection of the line. In particular, in this linear example, with a priority in the interval [0,1], the parameters will represent the priority level for the maximum audience size of 76 and zero audience size. You can also use other mathematical functions, mappings, and parameterized relationships to determine the parameters of such functions, mappings, and relationships in the same way using indicators.

Supplier Query Management Circuits

Supplier request management circuits can take into account the impact that the supplier asks for additional metadata and audience goals for the number of information elements that the supplier can send or add over time, as well as the perceived impact of the additions to the consumer information element. The supplier’s request management loop can use metrics that include, but are not limited to, opportunity costs for the supplier, the time it takes for the supplier to complete the submission, the time to receive the additional requested data, the availability of additional data, the significance of the additional meta tags or refinements, time required by the supplier to introduce a new audience goal or the time needed to change, rank or prioritize audience goals. In addition, consumer perceptions, participation, or response metrics can be used.

In one embodiment of the invention, the supplier request control loop can be used to control metadata input of the information element using the metadata request control loop 42. In one embodiment, the supplier request control loop can be used to control the input of the goals of the audience 50 through the request control loop audience goals 48. In one embodiment of the invention, the supplier request control loops can complement the control loops Nia limitations provider 46. In another embodiment, the control loops control requests provider may be an alternative to circuit limitations provider 46.

In one embodiment of the invention, the subject area for the information element can be determined by automated analysis of the information element entered by the supplier. Subject areas can be used to obtain a list of meta tag schemes and usage data for the subject area that has been defined. The list of meta tag schemes and usage data can be used to create a list of meta tag groups, fields and values that can be provided for the method of requesting audience information. Responding to meta tags with an increase in audience size for specified meta tags that can be provided using the audience information request method can be used to obtain audience size increases that can be used to select the order in which meta questions are requested tags.

In one embodiment, the meta tag scheme list may be general. In another embodiment, the meta tag scheme may be domain specific.

In one embodiment of the invention, a meta-tag scheme list may be selected to supplement metadata that cannot be reliably represented by automated analysis or to validate known fields or to validate vendor expertise. In addition, it can be used to limit autonomous and non-autonomous providers.

In one embodiment of the invention, the supplier may not see the audience sizes associated with the specified meta tags.

In one embodiment of the invention, the desired audience distribution may be used to control the supplier request control loops. Audience distribution can be parameterized using statistical measurements or indicators to quantify desirability. For example, to have a distribution over consumer priority intervals that reduces the density to zero or close to zero.

In one embodiment of the invention, the metadata request control loop may use the distribution of the audience over the consumer priority interval. Using the distribution of the audience according to the consumer priority interval has the advantage that well-known suppliers with naturally high audiences and receptivity can avoid the additional requirements for meta tags or audience goals and the associated time costs.

In another embodiment of the invention, either the metadata request control loop or the audience request control loop can use the distribution of the audience over a two-dimensional decision grid or decision matrix, in addition, the desired distribution of the audience according to consumer and supplier priorities is possible. An information provider can use either a metadata request control loop or an audience request control loop to achieve the desired audience distribution.

In one embodiment of the invention, any necessary metadata requests or requests for audience goals may stop when the desired distribution of the audience is reached or the maximum number of requests to the provider is completed.

The subject area can be compared with subject areas that can be inferred from the supplier’s user profile and previous information elements provided by the supplier. If the implied subject areas of the information element do not coincide with the subject areas of the provider and the history of the supplier, in matters of metadata it may be proposed to confirm the validity of the publication and the sender.

Control loop administrator

The information exchange system administrator can select the control loops to use and configure the control loops. Success indicators can be planned to balance the value of the various users of the exchange system with the goals of the stakeholders of the information exchange system.

Output

The system described in this document is widely used in existing information exchange systems or as a basis for new information exchange systems for optimization and better involvement of participants.

The examples and variations presented in this specification are not limiting, and other examples and variations may be identified by those skilled in the art.

Claims (116)

1. The method of determining the inclusion of an information element in the information stream, including: obtaining a display of projected participation; obtaining the distribution of information elements; distribution area definition: a) the number of elements b) the indicated expected value of the elements, c) the level of projected participation determined based on the display of projected participation for the specified expected value of the elements; and the choice of the inclusion region, characterized in that the inclusion region is preferred among other distribution regions in accordance with the approximation of the level of predicted participation and the number of elements, and when such an inclusion region determines inclusion. 2. The method according to p. 1, further comprising: functions of the exchange value, characterized in that any element or point in the inclusion region is equal to or greater than any element or point outside the inclusion region according to the exchange value function. 3. The method according to p. 1, which further includes: obtaining the priority of the supplier; obtaining consumer priority; an assessment of the inclusion of the information element in the information flow in accordance with the scope of inclusion of the obtained priority of the supplier and priority of the consumer. 4. The method according to p. 3, which further includes: audience target, characterized in that the audience target associates the assigned priority of the supplier with the parameter values of one or more users; getting the priority of the supplier from the target audience. 5. The method according to p. 3, which further includes: selection criteria, while these selection criteria link the assigned priority of the supplier with the values of the variables of one or more users or the variables of information elements; obtaining the priority of the supplier based on selection criteria. 6. The method according to p. 1, which further includes: collection of information elements; getting the order of elements; assessment of the inclusion of elements in the received order. 7. The method according to p. 1, which further includes: set of information elements; obtaining a distribution of information elements based on a set; an assessment of each element from the set for inclusion in the information flow in accordance with the scope of inclusion. 8. The method according to p. 3, characterized in that the decision grid resolves conflicts between actions, implied by the priority of the consumer and the priority of the supplier. 9. A social network using the method according to claim 1, including: message or equivalent information element from the first user of the social network; a news feed or an equivalent information stream of a second user of a social network, while the second user added to friends, reads, subscribed or similarly agreed to receive messages from the first user; a subsystem for determining whether a message is included in a news feed using the method of claim 1. 10. An advertising network that uses the method according to claim 1, which includes: one or more information elements, wherein the information elements include any combination of advertisements, offers, invitations or the like; a subsystem that uses the method of claim 1 to evaluate the inclusion of information elements. 11. Publishing system using the method according to claim 1, including: one or more information elements, while the information elements include any combination of articles, stories, requests, offers, advertisements, messages, notifications, videos, audio recordings or other equivalents received from at least one publisher, author, participant or similar information providers ; a subsystem that uses the method according to claim 1 to assess the inclusion of one or more information elements in the information flow of at least one consumer of information; a distributor for the delivery of information flow over the network, by email, through a mobile application, print publication or other similar media. 12. An information exchange device using the method of claim 1, which includes: a message or similar information item received from the first user by the exchange of information; distributor; the second user of the exchange of information entitled to receive the message through the distributor; a subsystem using the method of claim 1 to determine whether a message is excluded from the information flow of the second user. 13. An information exchange device using the method of claim 4, including: Means of obtaining audience goals for an information element; means of obtaining a profile of the consumer of information; means for obtaining the inclusion of an information element in the information stream, while the means use the method according to claim 4 with the aim of the audience and the received user profile. 14. A device for determining the inclusion of an information element in the information stream, including: means for obtaining a predicted participation card; means for obtaining the distribution of information elements; means for selecting an inclusion region, wherein the means use a display of predicted participation and distribution of information elements. 15. The information flow control device according to claim 14, further comprising: Means of obtaining supplier priority means of obtaining consumer priority; means of applying the inclusion area to determine the inclusion of an information element in the information flow for a specific priority of the supplier and priority of the consumer. 16. An information exchange device to limit the priority of audience goals, which consists of: Display audience size limits at least two streamlined target audiences; means of calculating the size of the audience for the purpose of the audience, while the means of calculation take into account a certain order of audience goals; means for determining the priority of the audience’s goal, while the means for determining use the size of the audience and the display of audience size restrictions. 17. The device according to p. 16, which further includes means for determining the display of restrictions on the size of the audience. 18. The system interface for entering the purpose of the audience, which includes: one or more audience goals; information about the audience, while information about the audience includes the priority or size of the audience for each purpose of the audience; means of interacting with the supplier’s constraint management loop to obtain audience details; means of interaction with the information provider, while the means of interaction include options for: a) introducing one or more audience goals, b) consideration of the details of the audience, c) editing one or more audience goals, d) changing the order of audience goals, e) indications of completion, with the goals of the audience being accepted and sent to the subsystem. 19. A method of assigning priority to an audience goal, which includes: Displays audience size limits at least two audience goals that have a specific order; a step of calculating the increment value for one or more audience goals; the chosen audience goal is lower in order than at least one other audience goal; a step of determining a search size for a selected audience target using a higher order increment value of an audience target and an increment value of a selected audience target; and Prioritizing an audience’s chosen goal using search size and displaying audience size limits. 20. The method according to p. 19, further comprising: order of preferences for a number of user profile characteristics; a set of audience goals, with each profile characteristic being the audience’s goal; streamlining audience goals using preference order; Assigning a priority defined for the purpose of the audience corresponding to the profile profile. 21. The system interface for entering audience goals using the method of claim 19, which includes: Means of obtaining at least two goals of the audience; means of organizing audience goals; information about the audience, while information about the audience includes the size and priority of the audience; control of supplier’s restrictions, configured to calculate audience information using the method of claim 19 with at least two audience goals obtained. 22. A method for determining a display of audience size boundaries, including: information element; a set of information consumers or typical information consumers; the step of determining the priority level of the information element for each consumer of information in the set; the stage of obtaining population density, while the stage uses the priority level for each consumer in the set; the stage of obtaining the inverse cumulative distribution, while the stage uses the population density; a step that uses inverse cumulative distribution to determine the display of audience size restrictions. 23. A method of obtaining priority from an audience goal according to claim 22, further comprising: audience goal audience size for the purpose of the audience; Seeking priority for audience goals by displaying audience size restrictions with audience size. 24. The system interface for entering audience goals using the method of claim 23, including: means of obtaining one or more goals of the audience; information about the audience, while information about the audience includes the size and priority of the audience; supplier’s constraint control configured to calculate constraint information using the method of claim 23 with one or more audience goals and an information element. 25. An information exchange device using the method of claim 23, including: one or more audience goals, while the audience’s goals are streamlined; means of restricting the priority of audience goals, while the means of limiting use the method of claim 23, and the supplier’s priority is obtained for each audience goal; grid of decisions; means for determining the inclusion of an information element in the information flow of at least one consumer of information using the resulting decision grid and the priority of the provider. 26. An information exchange device using the method of claim 19, including: one or more audience goals, while the audience’s goals are streamlined; means of restricting the priority of audience goals, while the means of limiting use the method according to claim 19, and the priority of the supplier is obtained for each audience goal; grid of decisions; means for determining the inclusion of an information element in the information flow of at least one consumer of information using the resulting decision grid and the priority of the provider.

Images