SYSTEM AND METHOD FOR ANALYZING AND IDENTIFYING EFFECTIVE CONTENT FOR CURATION IN A DIGITAL ENVIRONMENT - Patent application

Abstract

[0003] A system and method for analyzing and identifying effective content for curation in a digital environment is disclosed. An exemplary implementation can receive a recommendation curation request for content from a user, receive new pieces of content on an ongoing basis characterized by content parameter values ​​for content parameters generated by an online platform for the digital environment, determine a first set of pieces of content with which the user interacts in the digital environment based on the interaction information in response to receiving the recommendation curation request, correlate the content parameter values ​​of each piece in the first set with a psychological profile of the user, identify a curation of the pieces of content and new pieces of content similar to the first set based on the user's psychological profile, the correlation, and the new pieces of content, and present the curation to the user.

Description

[Technical Field]

[0001] The present disclosure relates to systems and methods for analyzing and identifying content in a digital environment that is effective for curation. [Background technology]

[0002] Users typically engage with multiple digital environments that offer a variety of content, whether similar or different. Online platforms that provide or host the digital environments may not be able to provide users with content recommendations for all digital environments that are appropriate for each individual user and that are based on the user's previous interactions with other content and their psychological attributes. Furthermore, there may be a lack of a system that allows content creators to request that new pieces of content be recommended to appropriate users, taking into account the user's psychological attributes and previous interactions with other content. Summary of the Invention [Means for solving the problem]

[0003] One aspect of the present disclosure relates to a system configured to analyze and identify content in a digital environment that is effective for curation. In one aspect of the present disclosure, a recommendation curation request is received from a user, and the user receives a curation of one or more pieces of content suitable for the user across multiple online platforms. The system can receive new pieces of content, if any, generated by each online platform for the respective digital environment. A set of pieces of content with which the user will interact can then be determined, and content parameter values ​​defining each of those pieces can be determined. These content parameter values ​​may be correlated with the user's psychological profile. Based on the correlation, a curation of pieces of content and / or new pieces of content similar to those with which the user has previously interacted can be determined and presented to the user.

[0004] Another aspect of the present disclosure relates to an online platform or its administrative users requesting that a new piece of content be included in curation for an appropriate user. Based on content parameter values ​​determined for the new piece of content, similar pieces of content can be determined, and correlations between the similar pieces of content and psychological profiles can be identified. Based on the correlations, psychological profiles can be identified so that the new piece of content can be included in curation for users associated with those profiles. In this way, the system can adapt content curation for multiple platforms, generated for users based on the users themselves, in response to requests from content users and / or providers. This eliminates static digital environments and global curation that may not be suitable for all users.

[0005] The system may include one or more hardware processors configured with machine-readable instructions. The instruction components may include computer program components. The instruction components may include one or more of a curation request component, a content determination component, a correlation component, a curation component, and / or other instruction components.

[0006] The curation request component can be configured to receive a recommendation curation request for content from a client computing platform associated with a user.

[0007] The content determination component can be configured to receive, on an ongoing basis, new pieces of content generated by the online platform for the digital environment, the new pieces of content being characterized by content parameter values ​​for the content parameters.

[0008] The content determination component can be configured to, in response to receiving the recommendation curation request, determine a first set of pieces of content for the user to interact with in the digital environment based on the interaction information.

[0009] The correlation component can be configured to correlate content parameter values ​​for the content parameters of the individual pieces in the first set with a psychological profile of the user.

[0010] The curation component can be configured to curate pieces of content and identify new pieces of content that are similar to the pieces of content in the first set and / or characterized by similar ones of the content parameter values ​​based on the user's psychological profile, correlations, new content, and / or other information.

[0011] The curation component may be configured to facilitate presentation of the curation to a user via a client computing platform associated with the user.

[0012] As used herein, the term "obtain" (and its derivatives) may include active and / or passive retrieval, determination, induction, transfer, uploading, downloading, submission, and / or exchange of information, and / or any combination thereof. As used herein, the term "effectuate" (and its derivatives) may include active and / or passive causation of any effect, both local and remote. As used herein, the term "determine" (and its derivatives) may include measuring, calculating, estimating, approximating, generating, and / or otherwise deriving, and / or any combination thereof.

[0013] These and other features and characteristics of the present technology, as well as the method of operation and function of associated elements of construction, and economies of combination of parts and manufacture, will become more apparent from a consideration of the following description and appended claims, with reference to the accompanying drawings, all of which form a part of this specification, and in which like reference numerals refer to corresponding parts in the various views. It is expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the invention. As used in this specification and claims, the singular forms "a," "an," and "the" include plural references unless the context clearly dictates otherwise. [Brief explanation of the drawings]

[0014] [Figure 1] 1 illustrates a system configured to analyze and identify content in a digital environment that is effective for curation, according to one or more embodiments. [Figure 2] 1 illustrates a method for analyzing and identifying content in a digital environment that is effective for curation, according to one or more embodiments. [Figure 3A]1 illustrates an example implementation of a system configured to analyze and identify content in a digital environment that is effective for curation, according to one or more embodiments. [Figure 3B] 1 illustrates an example implementation of a system configured to analyze and identify content in a digital environment that is effective for curation, according to one or more embodiments. DETAILED DESCRIPTION OF THE INVENTION

[0015] 1 illustrates a system 100 configured to analyze and identify effective content for curation in a digital environment, according to one or more embodiments. In some embodiments, system 100 may include one or more servers 102, electronic storage devices 134, and / or other elements. Server(s) 102 may be configured to communicate with one or more client computing platforms 104 according to a client / server architecture and / or other architecture. Client computing platform(s) 104 may be configured to communicate with other client computing platforms via server(s) 102 and / or according to a peer-to-peer architecture and / or other architecture. Users may access system 100 via client computing platform(s) 104.

[0016] The electronic storage 134 may be configured to store a user's psychological profile, pieces of content provided by the digital environment, interaction information, taxonomic classifications of individual pieces of content, and / or other information. In some implementations, a given psychological profile may characterize and be for a single unique user. In some implementations, a given psychological profile may characterize and be for more than one user. A psychological profile may include psychological parameter values ​​for psychological parameters. A psychological profile may include a set of psychological parameter values ​​for psychological parameters for individual users. As a non-limiting example, the psychological parameter values ​​for psychological parameters may be a predetermined range of numeric scores, letter scores, and / or other types of values ​​specific to each psychological parameter that may overall characterize a particular user.

[0017] Parameters, such as psychological parameters, may specify measurable, recordable, and / or determined information, such as those described herein. A parameter value corresponding to a parameter may be a specific value, either numeric or non-numeric, that characterizes the content, user, or respective element with which the parameter value is associated and described. Psychological parameter values ​​may characterize a given user's feelings, emotions, perceptions, thoughts, and behaviors. As non-limiting examples, psychological parameter values ​​may characterize competitiveness, goal orientation, and learning style, among others.

[0018] Pieces of content may include characters, games, game assets, video content, image content, and / or other pieces of content. A character may refer to an object (or group of objects) present in a virtual space that corresponds to an individual user (e.g., an avatar) and / or is controlled by a user. In some implementations, a character may not correspond to an individual user, but rather provide information (e.g., recommendations, suggestions) to a user. Game assets may include virtual items, virtual resources of in-game power (e.g., weapons, tools), in-game skills, in-game technology, and / or other game assets.

[0019] The digital environment may be hosted by or otherwise provided by an online platform. In some embodiments, the digital environment may be accessible via an application. The application may include mobile applications, desktop applications, console applications, television applications, and / or other applications accessible via the portable client computing platform 104. In some embodiments, the online platform may be directly accessible via a web browser and the Internet or may be offline. For example, digital environments and types thereof may include, by way of non-limiting example, gaming environments, educational environments, reading environments, music interfaces, social networking environments, entertainment environments, fitness environments, business environments, shopping environments, food and drink serving environments, among others, integrated with or connected to the system 100.

[0020] The digital environment and / or individual applications may provide a simulated space or view of a virtual space. Each simulated space may have a terrain, may represent continuous real-time interaction by one or more users, and / or may include one or more objects disposed within the terrain that can be moved within the terrain. In some instances, the terrain may be two-dimensional. In other instances, the terrain may be three-dimensional. The terrain may include the dimensions of the space and / or the surface features of surfaces or objects that "naturally" exist in the space. In some instances, the terrain may depict a surface (e.g., the ground) that spans at least a substantial portion of the space. In some instances, the terrain may depict a volume with one or more objects disposed within it (e.g., a simulation of gravity-deprived space with one or more celestial bodies disposed within it). Instances executed by computer components may be synchronous, asynchronous, and / or semi-synchronous.

[0021] The interaction information can characterize interactions between users and pieces of content via the digital environment and / or engagement by users with pieces of content. The interaction information can include content with which users engage, how individual users engage with content, content that is not engaged with or avoided by users, and / or other interaction information. In some implementations, the interaction information can identify a user. In some implementations, the interaction information can identify a user's psychographic profile. The content with which individual users engage may be related to the digital environment providing the content or to a particular online platform. That is, for example, content provided by a digital environment may be related to an online game hosted by the digital environment (e.g., virtual goods, virtual mini-games, etc.). In some implementations, the content with which individual users engage may not be related to the digital environment providing the content. That is, the content may direct a user to a different digital environment.

[0022] How users engage with content, or engagement by individual users, with or based on the content, may define behavioral patterns for the individual users. An individual user's behavioral patterns may include individual actions, sets of actions, ordered sets of actions, time spent by the individual user engaging with the content and / or being in the digital environment, user spending patterns, tasks completed by the individual user, tasks incomplete by the individual user, task failures by the individual user, game mechanics initiated by the user, and / or other behavioral patterns. In some implementations, a behavioral pattern may include multiple individual actions, sets of actions, and ordered sets of actions. Actions may include one or more of: content-based purchases, sales, trades, donations, user content selections, content-based gameplay (e.g., mini-games, battles, competitions, etc.), individual user communication with other specific users or users, user task completions, frequent interaction with content, user alliance formations, and / or other actions. Spending patterns may indicate amounts of currency (e.g., real-world currency, virtual currency, points, etc.) spent, amounts of currency earned, amounts of currency donated, and / or other indications.

[0023] Game mechanics may include alternating turns of one or more games, action points, playing cards, capture, catch-up progression, dice, movement, resource management, risk and reward, role-playing, game modes (e.g., single player, multiplayer), and / or other new or known game mechanics. In some implementations, different games and / or content provided by the online application may employ different game mechanics. Thus, a user may initiate and utilize different game mechanics within the online application. Conversely, a user may ignore some game mechanics by ignoring some of the games and / or content within the online application.

[0024] In some embodiments, a user's interactions with the digital environment and / or user behavior patterns can be correlated with psychological attributes, i.e., psychological parameter values ​​for psychological parameters, as described in U.S. application Ser. No. 16 / 894,522, entitled "SYSTEMS AND METHODS TO CORRELATE USER BEHAVIOR PATTERNS WITHIN AN ONLINE GAME WITH PSYCHOLOGICAL ATTRIBUTES OF USERS," the disclosure of which is incorporated herein by reference in its entirety.

[0025] Each taxonomic classification may include content parameter values ​​for content parameters that define a classification for each piece of content. The user may be a patient or a person in need of assistance. The taxonomic classification may conform to a taxonomy that defines a hierarchical system of content parameters that facilitates providing a classification for the piece of content. Each taxonomic classification may include content parameter values ​​for content parameters that define a classification for each piece of content. The taxonomic classification may conform to a taxonomy that defines a hierarchical system of content parameters that facilitates providing a classification for the piece of content. A piece of content may be defined by content parameter values ​​for some or all of the content parameters.

[0026] Some of the content parameters may be higher-level parameters, and some of the content parameters may be lower-level parameters. That is, higher-level parameters may include more specific lower-level parameters, and content parameter values ​​exist relative to the lower-level parameters, so that the content parameter values ​​more specifically describe the content. In some implementations, parameters may be in one or more hierarchical order within a taxonomy. Content parameters may include genre, platform-specific genre, mechanics, theme, art style and scenery, brand intellectual property, mode, churn, marketing assets, creative elements, and / or other content parameters. Such content parameters may be higher-level parameters of content parameters. Each of these content parameters may include one or more lower-level content parameters.

[0027] A given genre may refer to a particular style, form, or set of content elements (e.g., action, adventure, sports, casino). A given platform-specific genre may be a genre specific to a platform and / or a real or virtual setting (e.g., arcade, music, party, racing, slots). A given mechanism may govern the rules for users within a digital environment (e.g., physical) and the responses to the user's actions and / or the actions of other pieces of content. A given theme may refer to a particular subject or topic (e.g., crime / mystery, horror, vehicles) that a digital environment relates to and has developed around. A given art style and perspective may refer to a visual style, rendering technique, point of view, and / or other art styles and / or perspectives. A given brand intellectual property may refer to a tangible or intangible concept that may be associated with a brand (e.g., sports, game shows, children's toys). A given mode may refer to the setting of a digital environment and the role or position of a user / player (e.g., player as manager, single player, player as actor) within the digital environment. A given churn may refer to how a user and / or content within a digital environment enters and exits the digital environment (e.g., intentionally). A given marketing asset may refer to an element (e.g., placement, emotional driver) that may facilitate promotion or presentation of a piece of content. A given creative element may refer to an artistic element that facilitates promotion of a piece of content (e.g., coin, flag, light bulb).

[0028] A content parameter value may be a number within a defined range (e.g., 1 to 10), a binary number, a letter score, Yes or No, and / or other type of value. In some implementations, content parameter values ​​within a particular range may mean that multiple values ​​of the content parameter values ​​are similar. For example, a content parameter value for a first content parameter may be a number within a defined range of 0 to 20. A content parameter value of 1 to 5 may be considered a similar content parameter value for the first content parameter.

[0029] The server(s) 102 may be configured with machine-readable instructions 106. The machine-readable instructions 106 may include one or more instruction components. The instruction components may include computer program components. The instruction components may include one or more of a curation request component 108, a content determination component 110, a correlation component 112, a curation component 114, a profile determination component 116, a presentation component 118, and / or other instruction components.

[0030] The curation request component 108 may be configured to receive a recommendation curation request for content from a client computing platform 104 associated with a user. A recommendation curation request from a user may be a request to receive one or more pieces of content that the user is particularly familiar with or is otherwise likely to enjoy. In some implementations, a recommendation curation request from a user may specify a purpose for the request. The purpose may specify the particular content for which the user requests recommendations. The purpose may include engaging content, health content, active content, multiplayer content, single-player content, recurring content, educational content, and / or other purposes. In some implementations, the purpose may specify a psychological purpose, an academic purpose, and / or a physical purpose, such that the content the user is requesting promotes the psychological purpose, the academic purpose, and / or the physical purpose. For example, the psychological purpose, the academic purpose, and / or the physical purpose may include sobriety, physical stamina, mile time, reading skills, mathematical skills, and / or other psychological, academic, and / or physical purposes. Each psychological, academic, and / or physical goal may be associated with a particular piece of content, for example, a physical stamina goal may be associated with workout content that gradually promotes an increase in physical stamina.

[0031] In some embodiments, recommendation curation requests may be received on a recurring basis. The recurring basis may include daily, monthly, weekly, or every specified number of days, and / or other recurring basis. In some embodiments, a user may define the recurring basis via their client computing platform 104. In some embodiments, the recurring basis may be predefined by system 100 or an administrative user of system 100. The curation described herein in response to each recommendation curation request may be different.

[0032] In some implementations, the curation request component 108 may be configured to receive a content recommendation request from the client computing platform(s) 104 associated with one or more creators of one or more pieces of new content. The one or more creators may create new content for the online platform or may be provided by a digital environment hosted by the online platform. A content recommendation request from a creator may be a request to recommend one or more pieces of new content to appropriate users who are familiar with or otherwise likely to enjoy such content. A content recommendation request may include one or more pieces of new content. A piece of new content may include virtual content, physical products, services, subscription plans, and / or other new content that does not already exist within or outside the digital environment. Virtual content may refer to pieces of content provided in the digital environment described herein. Physical products may refer to items that a user uses in a real-world context, such as kitchenware, tools, etc. Services may refer to services that a user can consume or experience in a real-world context, such as car services, beauty services, etc. A subscription plan may refer to a subscription to services and / or digital content, such as a meal subscription service, a video streaming subscription service, a cloud storage subscription service, among others.

[0033] The content determination component 110 may be configured to receive, on a continuous basis, one or more new pieces of content generated by the online platform for the digital environment. In some implementations, the new pieces of content may be created by one or more authors. The new pieces of content may be characterized by content parameter values ​​for the content parameters. As used herein, the term "continuously" may refer to continuing to perform (e.g., determine, receive) an action periodically (e.g., every 30 seconds, every minute, every hour, etc.) until an instruction to terminate is received. For example, an instruction to terminate may be received from the online platform.

[0034] In some implementations, the content determination component 110 may be configured to determine content parameter values ​​for content parameters of one or more pieces of new content. In some implementations, determining the content parameter values ​​may include receiving content parameter values ​​from client computing platform(s) 104 associated with one or more authors. That is, one or more authors may define one or more pieces of new content by providing content parameter values ​​corresponding to the content parameters. In some implementations, determining the content parameter values ​​may include analyzing each of the pieces of new content. Analysis of each piece of new content may include determining existing content stored in electronic storage 134 that is similar to the piece of new content, determining deviations in content parameter values ​​of the existing content relative to the piece of new content, and / or using analytical techniques to determine content parameter values ​​for the content parameters.

[0035] The content determination component 110 may be configured to determine a first set of pieces of content with which a user interacts in a digital environment. The determination of the first set may be based on interaction information associated with the user, a psychographic profile of the user, and / or other information. The determination may be in response to receiving a recommendation curation request from the user. The first set may include pieces of content with which the interaction information identifies the user as having frequent interactions and familiarity. That is, the first set may be determined taking into account that the interaction information is associated with the user and that the interaction information includes content with which the user engages.

[0036] In some implementations, the content determination component 110 can be configured to determine a second set of pieces of content similar to the one or more pieces of new content included in the content recommendation request, which can be determined based on the interaction information, content parameter values ​​for content parameters that define the pieces of content included in the interaction information, and / or other information.

[0037] The correlation component 112 may be configured to correlate content parameter values ​​for the content parameters of the individual pieces of content in the first set with the user's psychological profile. In some implementations, the correlation may be between correlating content parameter values ​​with the content parameters of the individual pieces of content in the first set and correlating psychological parameter values ​​with the psychological parameters of the user(s). That is, some of the psychological parameter values ​​comprising the user's psychological profile may be correlated with content parameter values ​​for the content parameters of the individual pieces of content but not all of the pieces of content. The correlation may be stored in the electronic storage 134. The correlation may provide an indication of the types of content with which the user frequently engages and is familiar. Such correlation can facilitate determining new or other content having the same or similar content parameter values ​​for the content parameters that the user may engage with and therefore may be recommended to the user.

[0038] The curation component 114 may be configured to identify curated pieces of content and new pieces of content that are similar to the first set of pieces of content and / or characterized by similar content parameter values. Identifying the curation may be based on a user's psychological profile, correlations, the new pieces of content, and / or other information. Determining the similarity may include determining a defined amount of content parameter values ​​for identical content parameters, determining whether a majority of the content parameter values ​​for the content parameters are similar (e.g., within a particular similarity range), and / or other determinations of similarity. The defined amount of content parameter values ​​for identical content parameters may be specified by an administrative user of the system 100 and may be a fixed amount, percentage, and / or portion, may be configurable by the administrative user, and / or may be another defined amount. In some implementations, the curation may be pieces of content with a minimum amount. In some implementations, the curation may be pieces of content with a maximum amount. The minimum and maximum amounts may be predefined by the system 100 and / or may be modifiable by an administrative user, fixed, or modifiable by the user.

[0039] The profile determination component 116 may be configured to determine a first set of psychological parameter values ​​for the psychological parameters based on the correlation, the second set of pieces of content, and / or other information. That is, given a correlation between a content parameter value and a psychological parameter value, the correlation with the content parameter values ​​of the second set of pieces of content may be utilized to determine the correlated psychological parameter values, i.e., the first set of psychological parameter values. The profile determination component 116 may then be configured to identify a set of users associated with psychological profiles that include at least a portion of the first set of psychological parameter values. That is, given the first set of psychological parameter values, specific profiles among the psychological profiles that include at least a portion of the first set of psychological parameter values ​​may be identified, and thus a set of users associated with those specific psychological profiles may be identified. This identified set of users may be determined to engage with or otherwise understand one or more new pieces of content included in the content recommendation request.

[0040] The presentation component 118 may be configured to facilitate presentation of the curation to the user via a client computing platform 104 associated with the user. The curation may include or be presented with previews of the content, links that direct the user to the content upon selection, and / or other presentations of the curation. In some implementations, achieving the presentation of the curation may include presenting the curation via a content account and / or other accounts. The content account may be coupled to a digital environment and / or an online platform that provides the digital environment, where the presented curation may include content from one or more of the coupled digital environments. Thus, a user associated with a content account may receive a comprehensive curation of all digital environments with which they interact in a digital location.

[0041] The presentation component 118 may be configured to facilitate presentation of a recommended curation to client computing platforms 104 associated with a set of users. The recommended curation may include one or more recommended pieces of new content and / or other content. In some implementations, achieving presentation of the recommended curation may include presenting the recommended curation via a content account associated with the user, as described herein.

[0042] 3A illustrates a client computing platform 104 for a user 320. The user 320 may be associated with a psychological profile 312a in electronic storage 134 that characterizes the psychological attributes of the user 320. Through the client computing platform 104, the user 320 may submit a recommendation curation request 302 requesting a curation 304 of recommended content for various digital environments.

[0043] FIG. 3B illustrates electronic storage device 134. Electronic storage device 134 may store interaction information 308a, including content 306a and 306b in which user 320 has engaged. Content 306a and 306b may be defined by content parameter values ​​310a and 310b, respectively. Electronic storage device 134 may further store new content 306e and 306f, as well as content 306c and content 306d, received from an online platform (not shown) that provides or hosts digital environments. Content 306c-f may be defined by their respective content parameter values. In response to receiving recommendation curation request 302 of FIG. 1, content parameter values ​​310a and 310b may be determined by interaction information 308a. The content parameter values ​​310a and 310b may then be correlated with a psychological profile 312a (associated with user 320, as in FIG. 3A ) stored in electronic storage 134. Thus, based on the psychological profile 312a, the content parameter values ​​310a and 310b correlated with psychological profile 312a, and the content parameter values ​​defining content 306c-f, content parameter values ​​310c and 310d may be specifically identified as similar to content parameter values ​​310a and 310b. Thus, content 306d and new content 306e defined by one or more of content parameter values ​​310a and 310b may be identified for and included in curation 304 of FIG. 3A . Curation 304 may be presented to user 320 via client computing platform 104.

[0044] 1 , in some implementations, server(s) 102, client computing platform(s) 104, and / or external resources 132 may be operatively linked via one or more electronic communications links. For example, such electronic communications links may be established, at least in part, via a network, such as the Internet and / or other networks. This is not intended to be limiting, and it will be understood that the scope of the present disclosure includes implementations in which server(s) 102, client computing platform(s) 104, and / or external resources 132 may be operatively linked via some other communications medium.

[0045] A given client computing platform 104 may include one or more processors configured to execute computer program components that may be configured to enable a professional or user associated with a given client computing platform 104 to interface with system 100 and / or external resources 132 and / or provide other functionality attributed to the client computing platform(s) 104 herein. By way of non-limiting example, a given client computing platform 104 may include one or more of a desktop computer, a laptop computer, a handheld computer, a tablet computing platform, a netbook, a smartphone, a game console, and / or other computing platform.

[0046] External resources 132 may include information sources external to system 100, external entities participating with system 100, and / or other resources. In some implementations, some or all of the functionality attributed to external resources 132 herein may be provided by resources included in system 100.

[0047] The server(s) 102 may include electronic storage 134, one or more processors 136, and / or other components. The server(s) 102 may include communication lines or ports to enable the exchange of information with a network and / or other computing platforms. The illustration of the server(s) 102 in FIG. 1 is not intended to be limiting. The server(s) 102 may include multiple hardware, software, and / or firmware components operating together to provide the functionality attributed to the server(s) 102 herein. For example, the server(s) 102 may be implemented by a cloud of computing platforms operating together as the server(s) 102.

[0048] The electronic storage 134 may include non-transitory storage media that electronically store information. The electronic storage media of the electronic storage 134 may include one or both of a system storage device that is provided integrally with the server(s) 102 (i.e., substantially non-removable) and / or a removable storage device that is removably connectable to the server(s) 102 via, for example, a port (e.g., a USB port, a firewire port, etc.) or a drive (e.g., a disk drive, etc.). The electronic storage 134 may include one or both of an optically readable storage medium (e.g., an optical disk, etc.), a magnetically readable storage medium (e.g., a magnetic tape, a magnetic hard drive, a floppy drive, etc.), a charge-based storage medium (e.g., an EEPROM, RAM, etc.), a solid-state storage medium (e.g., a flash drive, etc.), and / or other electronically readable storage media. The electronic storage 134 may include one or more virtual storage resources (e.g., cloud storage, a virtual private network, and / or other virtual storage resources). The electronic storage device 134 may store software algorithms, information determined by the processor 136, information received from the server 102, information received from the client computing platform(s) 104, and / or other information that enables the server 102 to function as described herein.

[0049] Processor(s) 136 may be configured to provide information processing capabilities in server(s) 102. Thus, processor(s) 136 may include one or more of a digital processor, an analog processor, a digital circuit designed to process information, an analog circuit designed to process information, a state machine, and / or other mechanisms for electronically processing information. Although processor(s) 136 are shown in FIG. 1 as a single entity, this is for illustrative purposes only. In some implementations, processor(s) 136 may include multiple processing units. These processing units may be physically located within the same device, or processor(s) 136 may represent the processing functionality of multiple devices acting in concert. Processor(s) 136 may be configured to execute components 108, 110, 112, 114, 116, and / or 118 and / or other components. Processor(s) 136 may be configured to execute components 108, 110, 112, 114, 116, and / or 118 and / or other components by software, hardware, firmware, some combination of software, hardware, and / or firmware, and / or other mechanisms for configuring processing power on processor 136. As used herein, the term "component" may refer to any component or set of components that perform the functionality attributed to the component. This may include one or more physical processors in execution of processor-readable instructions, processor-readable instructions, circuitry, hardware, storage media, or any other component.

[0050] 1 as being implemented within a single processing unit, it should be understood that in implementations in which processor(s) 136 include multiple processing units, one or more of components 108, 110, 112, 114, 116, and / or 118 may be implemented remotely from the other components. The description of functionality provided by various components 108, 110, 112, 114, 116, and / or 118 described below is for illustrative purposes and is not intended to be limiting, as any of components 108, 110, 112, 114, 116, and / or 118 may provide more or less functionality than described. For example, one or more of components 108, 110, 112, 114, 116, and / or 118 may be eliminated, and some or all of its functionality may be provided by others of components 108, 110, 112, 114, 116, and / or 118. As another example, processor(s) 136 may be configured to execute one or more additional components that may perform some or all of the following functionality attributed to one of components 108, 110, 112, 114, 116, and / or 118:

[0051] 2 illustrates a method 200 for analyzing and identifying content in a digital environment that is effective for curation, according to one or more embodiments. The operations of method 200 presented below are intended to be illustrative. In some embodiments, method 200 may be accomplished with one or more additional operations not described and / or without one or more of the operations described. Additionally, the order in which the operations of method 200 are illustrated in FIG. 2 and described below is not intended to be limiting.

[0052] In some implementations, method 200 can be implemented in one or more processing devices (e.g., digital processors, analog processors, digital circuits designed to process information, analog circuits designed to process information, state machines, and / or other mechanisms for electronically processing information). The one or more processing devices may include one or more devices that perform some or all of the operations of method 200 in accordance with instructions electronically stored on an electronic storage medium. The one or more processing devices may include one or more devices configured through hardware, firmware, and / or software to be specifically designed to perform one or more of the operations of method 200.

[0053] Operation 202 may include receiving a content recommendation curation request from a client computing platform associated with a user. Operation 202 may be performed by one or more hardware processors configured with machine-readable instructions, including components the same as or similar to curation request component 108, according to one or more implementations.

[0054] Operation 204 may include receiving, on a continuous basis, new pieces of content generated by the online platform for the digital environment, the new pieces of content characterized by content parameter values ​​for the content parameters. Operation 204 may be performed by one or more hardware processors configured with machine-readable instructions, including components the same as or similar to content determination component 110, according to one or more embodiments.

[0055] Operation 206 may include, in response to receiving the recommendation curation request, determining a first set of pieces of content for the user to interact with in the digital environment based on the interaction information. Operation 206 may be performed by one or more hardware processors configured with machine-readable instructions, including components the same as or similar to content determination component 110, according to one or more implementations.

[0056] Operation 208 may include correlating content parameter values ​​for content parameters of individual pieces of content in the first set with the user's psychological profile. Operation 208 may be performed by one or more hardware processors configured with machine-readable instructions, including components the same as or similar to correlation component 112, according to one or more implementations.

[0057] Operation 210 may include curating the pieces of content and identifying new pieces of content that are similar to the first set of pieces of content and / or characterized by similar content parameter values ​​based on the user's psychological profile, the correlations, and the new pieces of content. Operation 210 may be performed by one or more hardware processors configured with machine-readable instructions, including components the same as or similar to curation component 114, according to one or more implementations.

[0058] Operation 212 may include effecting presentation of the curation to the user via a client computing platform associated with the user. Operation 212 may be performed by one or more hardware processors configured with machine-readable instructions, including components the same as or similar to presentation component 118, according to one or more implementations.

[0059] While the present technology has been described in detail for purposes of illustration based on what are presently considered to be the most practical and preferred embodiments, it should be understood that such detail is for that purpose only, and that the technology is not limited to the disclosed embodiments, but on the contrary, is intended to cover modifications and equivalent arrangements within the spirit and scope of the appended claims. For example, it should be understood that the present technology contemplates that, to the extent possible, one or more features of any embodiment can be combined with one or more features of any other embodiment.

Claims

1. 1. A system configured to analyze and identify content in a digital environment that is effective for curation, the system comprising: an electronic storage device configured to store i) a psychological profile of a user, ii) pieces of content provided by a digital environment, and iii) interaction information, wherein the psychological profile comprises psychological parameter values ​​for psychological parameters, the pieces of content are characterized by content parameter values ​​for content parameters, and the interaction information characterizes interactions between the user and the pieces of content via the digital environment and / or engagement by the user with the pieces of content; one or more processors, wherein the one or more processors, in accordance with machine-readable instructions, receiving a content recommendation curation request from a client computing platform associated with a user; receiving, on a continuous basis, new pieces of content generated by an online platform for the digital environment, the new pieces of content being characterized by the content parameter values ​​for the content parameters; In response to receiving the recommendation curation request, determine a first set of the pieces of content with which the user interacts in the digital environment based on the interaction information; correlating the content parameter values ​​for the content parameters of individual pieces in the first set with the psychological profile of the user; Identifying the new pieces of content that are similar to the first set of pieces of content and / or characterized by similar ones of the content parameter values ​​based on the curation of the pieces of content and the psychographic profile of the user, the correlations, and the new pieces of content; and The system is configured to facilitate presentation of the curation to the user via a client computing platform associated with the user.

2. The system of claim 1 , wherein the recommendation curation request from the user specifies a purpose for the request.

3. The system of claim 1 , wherein the recommendation curation request is received on a recurring basis, the recurring basis comprising daily, monthly, weekly, or every specified number of days.

4. The system of claim 1 , wherein enabling presentation of the curation includes presenting the curation through a content account, the content account being coupled to the digital environment.

5. 1. A system configured to analyze and identify potential psychographic profiles to generate potential content curation, the system comprising: an electronic storage device configured to store i) a psychological profile of a user, ii) pieces of content provided by a digital environment, iii) interaction information, and iv) correlations between content parameter values ​​for content parameters for individual pieces of the content and psychological parameter values ​​for psychological parameters of the user, wherein the psychological profile includes the psychological parameter values ​​for the psychological parameters, the pieces of content are characterized by the content parameter values ​​for the content parameters, and the interaction information includes the pieces of content that the user interacts with and how the user interacts with the pieces of content; one or more processors, wherein the one or more processors, in accordance with machine-readable instructions, receiving a content recommendation request from a client computing platform associated with a creator of one or more pieces of new content, the content recommendation request including the one or more pieces of new content for recommendation to suitable ones of the users; determining content parameter values ​​for the content parameters of the one or more new pieces of content; determining a set of pieces of content that are similar to the one or more new pieces of content based on the interaction information and the content parameter values ​​for the content parameters; determining a first set of psychological parameter values ​​for psychological parameters based on the correlations and the set of pieces of content; identifying a set of users associated with a psychological profile that includes at least a portion of the first set; The system is configured to provide presentation of a recommended curation to a client computing platform associated with the set of users, the recommended curation including the one or more pieces of new content.

6. The system of claim 5 , wherein determining the content parameter value comprises receiving the content parameter value from the client computing platform associated with the creator.

7. The system of claim 5 , wherein enabling the presentation of the recommended curation includes presenting the recommended curation through a content account, the content account being coupled to the digital environment.

8. 1. A method for analyzing and identifying content in a digital environment that is effective for curation, said method comprising: receiving a content recommendation curation request from a client computing platform associated with a user, wherein an electronic storage device is configured to store: i) a psychological profile of the user; ii) pieces of content provided by a digital environment; and iii) interaction information, wherein the psychological profile includes psychological parameter values ​​for psychological parameters, the pieces of content are characterized by content parameter values ​​for content parameters, and the interaction information characterizes interactions between the user and the pieces of content via the digital environment and / or engagement by the user with the pieces of content; receiving, on a continuous basis, new pieces of content generated by an online platform for the digital environment, the new pieces of content being characterized by the content parameter values ​​for the content parameters; In response to receiving the recommendation curation request, determining a first set of the pieces of content with which the user interacts in the digital environment based on the interaction information; correlating the content parameter values ​​for the content parameters of individual pieces in the first set with the psychological profile of the user; curating the pieces of content and identifying new pieces of content that are similar to the first set of pieces of content and / or characterized by similar ones of the content parameter values ​​based on the user's psychological profile, the correlations, and the new pieces of content; and effectuating presentation of the curation to the user via a client computing platform associated with the user.

9. The method of claim 8 , wherein the recommendation curation request from the user specifies a purpose for the request.

10. The method of claim 8 , wherein the recommendation curation request is received on a recurring basis, the recurring basis comprising daily, monthly, weekly, or every specified number of days.

11. The method of claim 8 , wherein enabling presentation of the curation includes presenting the curation through a content account, the content account being coupled to the digital environment.

12. 1. A method of analyzing and identifying potential psychographic profiles to generate potential content curation, the method comprising: receiving a content recommendation request from a client computing platform associated with a creator of one or more pieces of new content, the content recommendation request including the one or more pieces of new content for recommendation to appropriate ones of the users, wherein an electronic storage device is configured to store: i) a psychological profile of the user; ii) pieces of content provided by the digital environment; iii) interaction information; and iv) correlations between content parameter values ​​and content parameters of individual pieces of content, and correlations between psychological parameter values ​​and psychological parameters of the user, wherein the psychological profile includes the psychological parameter values ​​for the psychological parameters, the pieces of content are characterized by the content parameter values ​​for the content parameters, and the interaction information includes the pieces of content with which the user interacts and how the user interacts with the pieces of content; determining content parameter values ​​for the content parameters of the one or more new pieces of content; determining a set of pieces of content that are similar to the one or more new pieces of content based on the interaction information and the content parameter values ​​for the content parameters; determining a first set of psychological parameter values ​​for psychological parameters based on the correlations and the set of pieces of content; identifying a set of users associated with a psychological profile that includes at least a portion of the first set; and providing presentation of a recommended curation to a client computing platform associated with the set of users, the recommended curation including the one or more pieces of new content.

13. The method of claim 12 , wherein determining the content parameter value comprises receiving the content parameter value from the client computing platform associated with the creator.

14. The method of claim 12 , wherein enabling the presentation of the recommended curation includes presenting the recommended curation through a content account, the content account being coupled to the digital environment.

15. The method of claim 12 , wherein the new piece of content comprises virtual content, a physical product, a service, and / or a subscription plan.

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