Method and system for utilizing motivational content application to collect user behavior data and recommending personalized motivational content on basis of collected data

Abstract

The present invention relates to a method and system for recommending personalized motivational content to a user. The method for recommending motivational content according to the present invention comprises: a step for collecting motivational content consumption data generated by a process for consuming motivational content; an application usage data collecting step for collecting, in addition to the motivational content consumption data, application usage data input by a user while an application is driven in a user device; and a step for clustering users into a plurality of user groups for each prescribed subject on the basis of at least a portion of the collected motivational content consumption data and application usage data, wherein the user groups are information used for motivational content recommendation.

Description

A system and method for collecting user behavior data using a motivational content application and recommending personalized motivational content based on the collected data.

[0001] The present invention relates to a method and system for recommending personalized motivational content to a user.

[0002] Since the advent of smart devices that users can carry and use, various technologies have been developed and used to provide personalized services or products to specific users by utilizing user data generated and collected from smart devices.

[0003] For example, Patent Document 1 (Korean Patent Registration No. 10-1804967, published on December 6, 2017) relates to a method and system for recommending music content using a database composed of user context, recommended music, and usage behavior, and provides a personalized music content recommendation method using user data. Specifically, Patent Document 1 provides a method for recommending music content using a database composed of user context, recommended music, and usage behavior, including a database collection step of collecting user context, recommended music, and usage behavior, a context clustering step of classifying the collected user context according to similarity, a step of analyzing the context usage behavior to extract a preferred context group for each user, and a step of analyzing the music usage behavior for each preferred context group to extract recommended music content for each user.

[0004] As another example, Patent Document 2 (Korean Patent Registration No. 10-1601896, published on March 10, 2016) relates to a service system and method for collecting smartphone usage history, recommending suitable applications for users, and providing reward-based research services by utilizing a smartphone optimization application, thereby providing research services through providing customized applications and rewards for each user by utilizing user data. Specifically, Patent Document 2 provides a service system characterized by including a collection unit that collects usage history information provided by the terminal according to the control of an optimization application that is installed on the terminal and automatically runs on the terminal for at least one of strengthening the security and optimizing the performance of the terminal, and an analysis unit that analyzes at least one of the user's interests of the terminal and the user's usage pattern for an application installed on the terminal based on the collected usage history information.

[0005] Meanwhile, there are various motivational content applications registered in application stores such as Google Play Store and Apple App Store.

[0006] However, the user-customized content / application recommendation inventions disclosed in the above patent documents 1 and 2 do not provide a method for recommending personalized motivational content for each user by utilizing user data.

[0007] Furthermore, existing motivational content applications listed in app stores simply list and display motivational content, pre-categorize existing motivational content, and provide customized services solely based on user consumption data (e.g., viewing, saving, sharing, and liking specific motivational content). Therefore, these existing motivational applications face limitations in providing users with motivation.

[0008] The present invention aims to overcome the limitations of conventional user-tailored content / service provision technologies and to provide a method and system that utilizes user data collected through a motivational content application to recommend personalized motivational content for each user, thereby maximizing user motivation.

[0009] In addition, the present invention aims to provide personalized motivational content tailored to the specific situation of the user by utilizing, in addition to user data related to consumption of motivational content, personal information (diary, mood, etc.) directly entered by the user in the application, user data automatically collected by the application (app usage time zone, usage time, usage location, etc.), and other non-standard data.

[0010] In order to solve the above problem, a motivational content recommendation method according to one embodiment of the present invention includes a step of collecting motivational content consumption data generated by a process of consuming motivational content, an app usage data collection step of collecting app usage data input by a user while an application is running on a user device in addition to the motivational content consumption data, and a step of grouping users into a plurality of user groups by a predetermined topic based on at least a portion of the collected motivational content consumption data and app usage data, wherein the user groups may be information used for motivational content recommendation.

[0011] In one embodiment, the motivational content may include at least one of text, still images, video, or audio that motivates the user.

[0012] In one embodiment, the processing of consuming the motivational content may include at least one of processing of displaying or outputting the motivational content on a user device, processing of storing the motivational content, processing of sharing the motivational content with another user, or processing of a predetermined input for the content.

[0013] In one embodiment, the motivational content consumption data may include information identifying a process for consuming the motivational content and information indicating the content of the process.

[0014] In one embodiment, the motivational content consumption data may include at least one of time information, consumption count information, location information, and environment information associated with the process of consuming the motivational content.

[0015] In one embodiment, the app usage data may include user emotional state information entered by the user's selection input and / or text information entered by the user.

[0016] In one embodiment, the emotional state may include at least one of motivated, happy, grateful, good, angry, and sad.

[0017] In one embodiment, the step of clustering into user groups may include at least one of clustering into the same user group users who use the application at a specific location or at a specific time, clustering into the same user group users who have selected and input a specific emotional state into their user device, or clustering into the same user group users who have consumed motivational content with specific tag information.

[0018] In one embodiment, the method for recommending motivational content of the present invention may further include the step of generating a request to generate an alarm on a user device to remind the user to consume motivational content and / or enter app usage data.

[0019] In one embodiment, the motivational content recommendation method of the present invention further includes a step of recommending motivational content to a user by providing the user with motivational content associated with a specific user group to which the user belongs, wherein the user group and the motivational content may be associated in advance.

[0020] In one embodiment, in the step of recommending motivational content, for a user group that exhibits a specific emotional state, motivational content associated with the user group exhibiting the emotional state may be selected and provided to users belonging to the user group.

[0021] In one embodiment, the association of user groups with motivational content may be performed by a machine-learned learning model that combines collected content consumption data and app usage data with motivational content data.

[0022] In one embodiment, the association of user groups with motivational content may be pre-established, in whole or in part, by an administrator.

[0023] In one embodiment, in the step of recommending motivational content, if there are multiple user groups to which the user belongs, motivational content related to all of the multiple user groups may be provided to the user.

[0024] In one embodiment, the step of collecting motivational content consumption data may include the step of providing a screen displaying a number of motivational content to the user, and the step of receiving a user's selection input for the motivational content.

[0025] In one embodiment, the step of providing a screen that displays one or more motivational contents to a user may select and recommend motivational contents to the user based on a user group to which the user belongs.

[0026] In one embodiment, the step of providing a screen displaying one or more motivational contents to the user may be performed in the morning.

[0027] In one embodiment, motivational content selected by a user's selection input may be displayed on part or all of the display screen of the user device for a predetermined period of time.

[0028] In one embodiment, in the app usage data collection step, a screen for selecting and inputting one or more user emotional states may be provided on the user device, and in the motivational content recommendation step, recommended motivational content may be displayed on the screen of the user device based on the emotional state selected by the user.

[0029] In one embodiment, providing a screen on a user device that allows the user to select and input one or more emotional states, and displaying recommended motivational content on the screen of the user device based on the emotional states selected by the user, may be performed in the afternoon, evening, or night.

[0030] In one embodiment, in the motivational content recommendation step, motivational content selected by the user in the morning and motivational content recommended according to the emotional state selected by the user in the afternoon, evening, or night may be displayed together on the screen of the user device.

[0031] A motivational content recommendation system according to one embodiment of the present invention includes a memory and at least one processor connected to the memory, wherein the at least one processor can be configured to perform the motivational content recommendation method described above.

[0032] A computer program executable by at least one processor of the motivational content recommendation system of the present invention according to one embodiment and stored in a computer-readable storage medium can perform the motivational content recommendation method described above.

[0033] A computer-readable storage medium recording a computer program for recommending motivational content according to one embodiment of the present invention can record a computer program for performing the above-described motivational content recommendation method.

[0034] According to the motivational content recommendation method and system of the present invention, personalized motivational content can be recommended to each user by utilizing user data collected through a motivational content application, thereby maximizing the user's motivation.

[0035] In addition, according to the motivational content recommendation method and system of the present invention, in addition to user data related to motivational content consumption, it is possible to provide personalized motivational content that is more tailored to the specific situation of the user by utilizing personal information (diary, mood, etc.) directly entered by the user in the application, user data automatically collected by the application (app usage time zone, usage time, usage location, etc.), and other non-standard data.

[0036] Figure 1 is a flowchart of a motivational content recommendation method according to one embodiment of the present invention.

[0037] FIG. 2 is a diagram showing the configuration of a motivational content recommendation system according to one embodiment of the present invention.

[0038] FIG. 3 is a reference diagram for explaining the operation of a motivational content recommendation system in one embodiment of the present invention.

[0039] Hereinafter, various embodiments of the present invention will be described. However, it is to be understood that the technical idea of ​​the present invention is not limited thereto and can be modified and implemented in various ways by those skilled in the art. In addition, the terms used in this specification are used to describe the concept of the present invention and embodiments thereof, and are not intended to limit the present invention to the dictionary or phraseological meaning of the terms. For example, the singular expression in this specification may include the plural expression unless the context clearly indicates otherwise. In addition, the terms "comprise" or "have" in this specification indicate the presence of a certain configuration, step, operation, or combination thereof, and do not exclude the possibility of the presence or addition of other configurations, steps, or operations, unless the context clearly indicates otherwise.

[0040] Unless otherwise stated herein, "connected" or "coupled" may include one element / feature being directly connected or coupled to another element / feature, or indirectly connected or coupled through another element / feature, and does not necessarily mean directly mechanically connected or coupled. Accordingly, while the various schematic diagrams depicted in the drawings illustrate exemplary arrangements of elements and components, additional intervening elements, devices, features, or components may be present in actual embodiments (assuming the functionality of the depicted elements is not adversely affected).

[0041] Additionally, in this specification, “transmitting” or “receiving” may include not only directly transmitting or receiving information between a sender and a receiver, but also transmitting or receiving information through another entity, unless otherwise stated.

[0042] People set and strive for better, more productive lives, but often, due to the inertia of busy daily lives or lifestyle habits, they easily give up on these goals and settle for the status quo. However, because of a fundamental human need that cannot be abandoned, people typically set goals, attempt them, and then give up on them. In other words, most people live in a cycle of setting goals, attempting to achieve them, and then giving up on them, all for the sake of personal development.

[0043] While there are various books, speeches, and content on self-development and motivation, these motivational contents are typically structured so that users access and use them directly when they think of them. Therefore, in most cases, users do not directly access motivational contents when they need motivation the most, such as when they are in a state of giving up or feeling lazy or bothered.

[0044] Furthermore, the sheer volume of motivational content available worldwide is vast, and this vast content is typically presented to users in a simple list or categorized by limited keywords and categories. This makes it difficult for users, often busy with their daily lives, to easily find the motivational content they want or need. In other words, the traditional method of providing motivational content to users is inherently passive.

[0045] Accordingly, the present invention solves the problems of the conventional motivational content provision method and provides a method and system for efficiently recommending and providing personalized motivational content to a user. The motivational content recommendation method and system of the present invention can contribute to the achievement of the user's goals and the formation of desirable habits by efficiently curating and providing motivational content that enables the user to form habits for spending time productively. The present invention provides a method and system for recommending more preferred motivational content by utilizing various user behavioral data, such as app usage time and app interaction data, generated by users of smart devices such as smartphones and tablets while using their smart devices.

[0046] Specifically, the present invention provides a method and system for recommending motivational content including the configuration and means described below.

[0047] Figure 1 is a flowchart of a motivational content recommendation method according to one embodiment of the present invention.

[0048] As illustrated in FIG. 1, a method for recommending motivational content in one embodiment of the present invention may include a motivational content consumption data collection step (S100), an app usage data collection step (S200), a user clustering step (S300) based on the collected data and a motivational content recommendation step (S400).

[0049] Here, the user can consume motivational content provided to the user through the motivational content provision step (S400), and at this time, the motivational content consumption data collection step (S100) can be performed. In other words, the provision and consumption of motivational content can occur cyclically.

[0050] Here, the method for recommending motivational content can be implemented by a user device and a server connected to the user device. The user device refers to a device used by the user to consume motivational content, and may include any known smart device, such as a smartphone, tablet, smartwatch, or wearable device, or a laptop or PC. The server may be implemented as one or more server devices, and may also be implemented on a distributed network or cloud server, as needed.

[0051] In the motivational content consumption data collection step (S100), data generated when motivational content is consumed on a user device is collected.

[0052] Here, motivational content can include any content that has a motivating effect on users, such as text, still images, video, and audio. For example, motivational content can include content representing proverbs, quotes, excerpts from books, or excerpts from lectures or speeches. However, motivational content is not limited to these, and can include any content pre-classified and stored in the system as motivational content.

[0053] Here, consuming motivational content on a user device includes receiving an input to display / output the motivational content on the user device so that the user can view or watch it, or to store the motivational content on the user device or other devices. Furthermore, consuming motivational content on a user device includes receiving certain user input regarding the content, such as an input requesting to share the content with others, an input requesting to select the content, an input requesting to click on a like icon, an input requesting to add the content to favorites, an input requesting to click on a recommend icon, etc. Furthermore, consuming motivational content on a user device includes receiving an input requesting to access, select, and / or process predefined content that follows or accompanies the content.

[0054] When a user consumes motivational content on their device, consumption data generated or generated in response to that consumption may be collected. This consumption data may be collected on the user's device, or it may be collected from an external server communicating with the user's device based on information collected on the user's device.

[0055] Here, consumption data for motivational content may include information identifying the consumption behavior of the aforementioned motivational content on the user's device, as well as detailed information describing the content of that consumption behavior. Furthermore, consumption data for motivational content may include information regarding the time each consumption behavior was performed, the number of consumption behaviors, the location where the consumption behavior occurred, and all contextual information related to the time of the consumption behavior, such as weather conditions and the time spent on the consumption behavior.

[0056] In one embodiment, a motivational content application may provide a screen displaying one or more motivational content items to the user or playing audio. In one embodiment, the user's selection of a specific motivational content item may be input via a touchscreen input, voice command, or the like.

[0057] In one embodiment, the presentation of such motivational content and / or the provision of a selection input screen may occur at a time preset by the user, for example, upon user input to an alarm screen as described below.

[0058] In one embodiment, the presentation of such motivational content and the provision of a selection input screen may occur at a predetermined time or time zone, preferably set to appear on the user's device screen in the morning. This allows the user to receive motivation in the morning, the time when the day begins. "AM" may refer to the time between a preset AM start time and 12:00 PM. The AM start time may be a time preset by the user or administrator, or may be a time set based on the sunrise time of the day. The sunrise time may be obtained from an external weather server.

[0059] In one embodiment, a screen may be displayed on a user device that provides a user with a motivational content application to consume motivational content.

[0060] In one embodiment, a screen displaying an input menu for initiating provision of motivational content is displayed on the user device, and upon selection of the input menu, the provision process of motivational content can be initiated.

[0061] In one embodiment, a start screen may be displayed on the user device that initiates the display of one or more motivational content items, and the user may acknowledge that the recommendation process for the day's motivational content items will begin by viewing the screen.

[0062] In one embodiment, a screen may be displayed on the user device informing the user that a user input action can be used to view a list of multiple motivational content items on the screen. For example, a swipe input received on the user device may cause a user to switch between multiple motivational content items, and the user may view the switched motivational content items.

[0063] In one embodiment, when a specific motivational content is selected from the list, the content of the specific motivational content may be displayed, and an input menu for selecting the motivational content may be displayed on the screen. While the motivational content is displayed on the user device, a predetermined music may be played on the user device. The music may be preset background music and / or music associated with the displayed motivational content. A menu for determining the volume and / or muting of the music may be displayed on the user screen.

[0064] In one embodiment, a user may consume motivational content by viewing one or more motivational content through the user interface screens described above and selecting some of the motivational content as needed.

[0065] In one embodiment, when providing / displaying one or more motivational contents to a user, motivational contents may be selected and recommended / provided based on a user group to which the user belongs, and this may be accomplished by a motivational contents recommendation step (S400) described below.

[0066] In the present embodiment, the motivational content is consumed by displaying the motivational content on the screen and / or by the user's selection input therefor. However, the content consumption of the present invention is not limited thereto, and may include all inputs received from the user device or all detections detected through sensors in relation to the content while the specific content is provided / displayed / output / identified on the user device as described above. For example, the content may be consumed by simply displaying the motivational content without selection. Furthermore, the content may also be consumed by audio output in addition to the screen display of the motivational content. In this case, the selection of the content may be an audio input signal. Furthermore, the generation of a detection signal from a sensor connected to the user device that detects the user's action while the motivational content is provided / displayed / output / identified on the user device may be defined as the consumption of the content.

[0067] In one embodiment, the user's selected motivational content may be displayed continuously or at preset times within the application or on some or all of the user's device's display screens, such as the main screen, widgets, or notifications, for a predetermined period of time. Thus, the user can continuously and repeatedly consume the selected motivational content, thereby maximizing self-motivation.

[0068] Next, in the app usage data collection step (S200), in addition to motivational content consumption data, data generated, acquired, or generated from interfaces or functions provided to users in the motivational content application is collected.

[0069] App usage data may include information entered by a user as he or she uses an application, and information generated or collected in connection with that entered information, excluding content consumption data.

[0070] For example, app usage data may include various texts entered by the user into the application, user status information such as emotions / moods, etc. For example, the user may enter text into the application, and the text may be collected as app usage data. Here, the text may be the user's diary, or the user's input information about the user's status. In addition, the user may input his / her status such as emotions or moods into the application, and the input information may be collected as app usage data. Here, to enable the user to input his / her emotional state, icons and / or texts representing a certain type of emotional state, such as motivated, happy, grateful, good, angry, or sad, may be displayed on the screen, and the user may select and input the corresponding icons and / or texts. In one embodiment, the collection of app usage data may be performed via an audio interface.

[0071] Here, app usage data may be collected from the user device, or may be collected from an external server that communicates with the user device based on app usage data collected from the user device.

[0072] In the present invention, the collection of motivational content consumption data and the collection of app usage data may be performed simultaneously and / or through the same screen, as needed, or may be performed through separate screens at different times.

[0073] Next, in the step (S300) of clustering users based on relevance based on the collected data, user groups can be created based on the information collected in the step (S100) of collecting motivational content consumption data and the step (S200) of collecting app usage data. Here, at least some of the collected motivational content consumption data and app usage data can be used to cluster users into subgroups by associating them with a given topic, thereby creating one or more user groups.

[0074] In one embodiment, users who use the application at a specific location or at a specific time can be clustered into the same user group.

[0075] In one embodiment, users expressing specific moods or emotional states can be clustered into the same user group. For example, users who input any of the following emotional states as their emotional state: motivated, happy, grateful, good, angry, or sad can be clustered into groups based on each emotional state. In addition to emotional states, user groups can also be clustered based on pre-defined user states.

[0076] In one embodiment, motivational content may be pre-assigned one or more tag information, and users who have consumed motivational content with specific tag information may be grouped into the same user group. Additionally, users who have consumed motivational content pre-classified as similar may be grouped into the same user group.

[0077] In this stage of clustering users, people are clustered by specific topics to create related user groups.

[0078] In one embodiment, the matching or association between motivational content consumption data and / or app usage data and user groups may be determined by an administrator.

[0079] In one embodiment, matching or associating user groups with motivational content consumption data and / or app usage data may be performed by a classifier based on known machine learning. That is, user groups corresponding to motivational content consumption data and / or app usage data may be determined by a classifier generated by machine learning based on training data of labeled motivational content consumption data and / or app usage data.

[0080] Here, clustering of user groups can be done on a server connected to multiple user devices.

[0081] Next, in the motivational content recommendation step (S400), users are identified by the user groups created by clustering in the user clustering step (S300), and customized motivational content is determined for each user group and provided to the users, thereby recommending motivational content.

[0082] In one embodiment, the user group of the user may be determined based on the user's app usage data collected in the app usage data collection step (S200). For example, the collected app usage data may include input data related to the user's user status, and the user group of the user may be determined based on that input data. Furthermore, the user group of the user may be determined based on app usage data other than the user status. Furthermore, the user group of the user corresponding to the user's app usage data may be determined using the machine-learned classifier described above.

[0083] In one embodiment, specific motivational content may be pre-associated with a specific user group, and the motivational content associated with that user group may be provided to the user. In one embodiment, motivational content pre-associated with a user group representing a user state may be selected and provided. For example, a user group comprising users who input any of the following emotional states as their emotional state may be selected and provided with motivational content pre-associated with that emotional state.

[0084] Here, the association between user groups and motivational content can be pre-established based on motivational content consumption data and / or app usage data. Preferably, this can be achieved by a machine-learned learning model that utilizes the collected content consumption data, app usage data, and motivational content data. The learning model can be constructed using any known machine learning model, deep learning model, or other learning model, utilizing the content consumption data, app usage data, and motivational content data as labeled learning data.

[0085] Alternatively, the association between user groups and motivational content may be pre-configured, in whole or in part, by the administrator, as needed.

[0086] In one embodiment, a user may belong to multiple user groups, in which case motivational content relevant to all of the user groups may be presented to the user. For example, if a user belongs to the 30s user group, the male user group, and the angry user group, only motivational content relevant to each of the user groups may be presented to the user.

[0087] In the present invention, by recommending and providing motivational content pre-associated with one or more user groups based on the user groups, the user can be provided with optimal customized motivational content for each person and / or situation.

[0088] In one embodiment, as a user group is updated and the motivational content is updated, the association between the user group and the motivational content may also be updated, and when such an update occurs, a new list of motivational content may be presented to the users in that user group.

[0089] In one embodiment, a motivational content application may provide a screen that provides motivational content based on the user's current state, and to do this, may first receive a user's selection input for a specific user state, such as through input from a touch screen.

[0090] In one embodiment, the presentation of a screen providing motivational content based on the user's current status may be performed at a time preset by the user, and may be displayed on the user device, for example, based on user input for an alarm screen described below.

[0091] In one embodiment, the screen providing motivational content based on the user's current status may be provided at a predetermined time or time zone, preferably set to be displayed on the user's device screen during the afternoon, evening, or nighttime. This allows the user to check their status at the end of the day and receive motivation accordingly. Here, the afternoon, evening, and nighttime times may be time periods preset by the user and the administrator, respectively, as afternoon, evening, and nighttime. In one embodiment, the nighttime time may be set based on the sunset time of the day, which may be obtained from an external weather server.

[0092] In one embodiment, a screen is displayed displaying an input menu that initiates the provision of motivational content based on the user's current state. Upon selecting the input menu, the process of providing motivational content based on the user's current state may be initiated. While the following describes an example of a user's emotional state, other user states may also be used.

[0093] In one embodiment, a screen may be displayed for selecting and inputting the emotional states of one or more users, and the selected emotional states of the users may be input and stored as app usage data according to the app usage data collection step (S200) described above.

[0094] In one embodiment, a screen may be displayed that provides motivational content determined based on an emotional state selected by the user, wherein the motivational content may be recommended according to the motivational content recommendation step (S400) described above.

[0095] In one embodiment, a screen may be displayed where a user can directly input text. For example, text containing the user's diary entry or resolution for the day may be input using a keyboard displayed on the user device. The input text may be entered and stored as app usage data according to the app usage data collection step (S200) described above.

[0096] In one embodiment, a screen may be displayed that displays recommended motivational content and text directly entered by the user based on the emotional state selected by the user. By providing such a screen, the user can simultaneously check motivational content appropriate for the user's current emotional state and text directly entered by the user on a single screen, thereby being more reliably motivated.

[0097] In one embodiment, a screen may be displayed on the user's device, displaying motivational content selected by the user in the morning, along with recommended motivational content based on the user's emotional state, for example, in the afternoon, evening, or night. This screen presentation allows the user to reflect on motivation at the beginning and end of the day.

[0098] In one embodiment, the method for recommending motivational content of the present invention may further include the step of generating an alarm on a user device to remind the user to consume motivational content and / or enter app usage data.

[0099] A user can set an alarm for a specific time in a motivational content application running on the user's device. The motivational content application can display an alarm screen at the set time, allowing the user to enter a screen for consuming motivational content. Furthermore, along with displaying the alarm screen, the motivational content application can generate a request to output a specific alarm sound from the user's device.

[0100] In one embodiment, an alarm screen displayed on the user device may be displayed on the user device.

[0101] In one embodiment, a screen may be displayed for setting an alarm time that displays a screen to the user to enter a menu for recommending motivational content. An alarm screen may be displayed to the user based on the set alarm time, as described below. In one embodiment, the screen for entering a menu for recommending motivational content may be a screen provided for the user to consume motivational content. Furthermore, the screen for entering a menu for recommending motivational content may be a screen that provides motivational content based on the user's current status.

[0102] In one embodiment, an alarm screen may be displayed on the user device at a set alarm time, notifying the user to enter a menu for recommending motivational content. The alarm screen may display a selection input menu for entering the menu for recommending motivational content, and may display an input menu for pausing or permanently stopping the alarm.

[0103] The present invention can help users achieve their goals and form habits by generating an alarm on a user device to remind the user to consume / provide motivational content.

[0104] In one embodiment, the alarm screen may include a screen for entering app usage data or a menu for accessing that screen. In this case, users can enter app usage data and receive feedback based on the alarm, thereby helping them achieve their goals and build habits.

[0105] According to the motivational content recommendation method of the present invention, personalized motivational content can be recommended to each user by utilizing user data collected through a motivational content application, thereby maximizing the user's motivation.

[0106] According to the present invention, it is easy for a user to form a habit of consuming motivational content periodically, and strong motivation can be achieved by providing the user with optimal customized motivational content.

[0107] In addition, according to the motivational content recommendation method of the present invention, in addition to user data related to motivational content consumption, personal information (diary, mood, etc.) directly entered by the user in the application, user data automatically collected by the application (app usage time zone, usage time, usage location, etc.), and other non-standard data can be utilized to provide personalized motivational content more tailored to the specific situation of the user.

[0108] FIG. 2 is a diagram showing the configuration of a motivational content recommendation system (10) in one embodiment of the present invention.

[0109] As shown in the illustration of FIG. 2, a motivational content recommendation system (10) in one embodiment of the present invention may include a motivational content consumption data storage unit (100), an app usage data storage unit (200), a user behavior data analysis unit (300), and a recommended motivational content determination unit (400).

[0110] The motivational content consumption data storage unit (100) stores data generated when an application user consumes motivational content, and stores data collected by the process of the motivational content consumption data collection step (S100) described above.

[0111] The app usage data storage unit (200) stores data such as mood / emotion information, text, app usage time / location, etc. that are directly input by the user or automatically collected while using other applications, and data collected by the process of the app usage data collection step (S200) described above is stored.

[0112] The user behavior data analysis unit (300) analyzes various user behavior data to analyze the correlation between specific behavior data and motivational content, and performs the process of grouping users according to the correlation based on the collected data described above (S300).

[0113] The recommended motivational content determination unit (400) selects motivational content to be recommended for each specific person and situation based on the analyzed data, and performs the process of the motivational content recommendation step (S400) described above.

[0114] FIG. 3 is a reference diagram for explaining the operation of a motivational content recommendation system (10) that performs the motivational content recommendation method of the present invention.

[0115] The motivational content recommendation system (10) receives motivational content consumption data and / or app usage data, as described above, from a user device (20) (S1000). This allows the system (10) to receive user data, such as preferred content, and user data for habit formation analysis from the user.

[0116] Additionally, the motivational content recommendation system (10) selects and provides motivational content corresponding to the user group corresponding to the user device (20) as described above (S2000). This allows the user to receive personalized motivational content and form habits through effective self-motivation.

[0117] In addition, the motivational content recommendation system (10) is connected to the motivational content database (30) and provides motivational content associated with the user group corresponding to the user as described above (S4000).

[0118] Additionally, for this purpose, the motivational content recommendation system (10) can build a learning model by utilizing collected content consumption data, app usage data, and motivational content data as labeled learning data (S3000). Any known machine learning algorithm can be used.

[0119] A motivational content recommendation system according to one embodiment of the present invention includes a memory and at least one processor connected to the memory, wherein the at least one processor can be configured to perform the motivational content recommendation method described above.

[0120] A computer program executable by at least one processor of the motivational content recommendation system of the present invention according to one embodiment and stored in a computer-readable storage medium can perform the motivational content recommendation method described above.

[0121] A computer-readable storage medium recording a computer program for recommending motivational content according to one embodiment of the present invention can record a computer program for performing the above-described motivational content recommendation method.

[0122] The motivational content recommendation device / system of the present invention may be configured to include a communication unit, a storage unit (temporary / non-transitory storage device, memory, etc.), and a control unit (at least one processor or logic circuit, etc.). Here, the storage unit may temporarily / non-temporarily store program instructions and at least some of the databases for executing the functions of each device, and the functions of each device described above may be executed as the program instructions stored in the storage unit are executed by the control unit. Such a device may be a commercially available computer, or an embedded system may be designed and used.

[0123] The sequence of operations described in the methods or processes disclosed herein is provided as an example. Therefore, the order of the steps may be adjusted as needed within the spirit of the present invention. That is, the steps of the present invention do not necessarily have to be performed in the order of their identification numbers. They may be performed in parallel, or steps assigned higher identification numbers may begin before steps assigned lower identification numbers, as long as the objectives of the present invention can be achieved.

[0124] Additionally, the devices and systems disclosed herein may include means for performing the functions described herein, and may be implemented as independent devices or systems, or may exist in a form linked or integrated with other systems, as needed.

[0125] The techniques described herein may be implemented, at least in part, in hardware, software, firmware, or any combination thereof. For example, they may be implemented in one or more processors, DSPs, ASICs, FPGAs, or equivalent integrated or discrete logic circuits, or any combination of at least one of these. Such hardware, software, and firmware may be implemented within one or more systems or devices to support the operations and functions disclosed herein, or may be implemented in conjunction with or integrated with other systems or devices. Furthermore, the components described herein may be implemented together with or separately from discrete but interoperable logic devices. Each function and operation described separately herein is described as such merely to emphasize its respective functionality, and such functions do not necessarily have to be implemented in separate hardware, firmware, or software components, but may be integrated within a common or separate combination of hardware and / or software. The terms "processor" or "processing circuit" may generally refer to any of the aforementioned logic circuits alone or in combination with other logic circuits, or any other equivalent circuit. A control unit including hardware may perform one or more of the techniques of the present disclosure.

[0126] Additionally, the techniques described herein may be implemented or stored in a computer-readable storage medium containing instructions. The instructions stored in the computer-readable storage medium may cause a processor in each device to perform methods and operations related to the instructions. The computer-readable storage medium may include RAM, ROM, PROM, EPROM, EEPROM, flash memory, hard disks, CD-ROMs, magnetic media, optical media, or other storage media.

Claims

1. In terms of recommending motivational content, A step of collecting motivational content consumption data generated by processing that consumes motivational content; An app usage data collection step for collecting app usage data entered by a user while the application is running on a user device in addition to the above motivational content consumption data; and A step of clustering users into multiple user groups based on at least some of the collected motivational content consumption data and app usage data, based on a predetermined topic, The above user group is a method for recommending motivational content, which is information used for recommending motivational content.

2. In paragraph 1, A method for recommending motivational content, wherein the motivational content includes at least one of text, still images, video, or audio that motivates a user.

3. In paragraph 1, A method for recommending motivational content, wherein the processing of consuming the motivational content includes at least one of processing of displaying or outputting the motivational content on a user device, processing of storing the motivational content, processing of sharing the motivational content with other users, or predetermined input processing for the content.

4. In paragraph 1, A method for recommending motivational content, wherein the motivational content consumption data includes information identifying a process for consuming the motivational content and information indicating the content of the process.

5. In paragraph 1, A method for recommending motivational content, wherein the motivational content consumption data includes at least one of time information, consumption count information, location information, and environment information associated with processing of consuming the motivational content.

6. In paragraph 1, A method for recommending motivational content, wherein the above app usage data includes information on the user's emotional state entered by the user's selection input and / or text information entered by the user.

7. In paragraph 6, A method for recommending motivational content, wherein the emotional state includes at least one of motivated, happy, grateful, good, angry, and sad.

8. In paragraph 1, The steps to cluster into user groups are: Clustering users who use an application at a specific location or time into similar user groups; Grouping users who have entered a specific emotional state into a user device into the same user group, or A method for recommending motivational content, comprising at least one of clustering users who consumed motivational content with specific tag information into a same user group.

9. In paragraph 1, A method for recommending motivational content, further comprising the step of generating a request to trigger an alarm on a user device to remind the user to consume motivational content and / or enter app usage data.

10. In paragraph 1, Further comprising a step of recommending motivational content to a user by providing the user with motivational content associated with a specific user group to which the user belongs, A method for recommending motivational content where user groups and motivational content are pre-associated.

11. In Article 10, A method for recommending motivational content, wherein, in a step of recommending motivational content, motivational content related to a user group exhibiting a specific emotional state is selected and provided to users belonging to the user group exhibiting the specific emotional state.

12. In paragraph 10, A method for recommending motivational content, in which association of user groups with motivational content is performed by a machine-learned learning model using collected content consumption data and app usage data and motivational content data.

13. In paragraph 10, A method of recommending motivational content, where the association between user groups and motivational content is pre-established in whole or in part by the administrator.

14. In paragraph 10, A method for recommending motivational content, wherein, in a step of recommending motivational content, if there are multiple user groups to which the user belongs, motivational content related to all of the multiple user groups is provided to the user.

15. In paragraph 1, The steps to collect motivational content consumption data are: providing a screen that displays one or more motivational contents to a user; and A method for recommending motivational content, comprising the step of receiving a user's selection input for motivational content.

16. In paragraph 15, A method for recommending motivational content, the step of providing a screen for displaying one or more motivational contents to a user comprises selecting motivational contents and recommending them to the user based on a user group to which the user belongs.

17. In paragraph 15, A method for recommending motivational content, wherein the step of providing a screen for displaying one or more of the above motivational contents to the user is performed in the morning.

18. In paragraph 15, A method for recommending motivational content, wherein motivational content selected by a user's selection input is displayed on part or all of a display screen of a user's device for a predetermined period of time.

19. In paragraph 1, In the app usage data collection phase, a screen is provided on the user device where one or more user emotional states can be selected and entered. A motivational content recommendation method that displays recommended motivational content on the screen of a user's device based on the emotional state selected by the user in the motivational content recommendation step.

20. In paragraph 19, A method for recommending motivational content, comprising: providing a screen on a user device for selecting and inputting one or more emotional states of the user; and displaying recommended motivational content on the screen of the user device based on the emotional states selected by the user, wherein the method is performed in the afternoon, evening, or night.

21. In paragraph 19, A method for recommending motivational content, wherein, in the motivational content recommendation step, motivational content selected by the user in the morning and motivational content recommended according to the emotional state selected by the user in the afternoon, evening, or night are displayed together on the screen of the user's device.

22. As a motivational content recommendation system, memory; and comprising at least one processor connected to said memory, At least one processor of the above: A motivational content recommendation system configured to perform the motivational content recommendation method described in any one of claims 1 to 21.

23. A computer program stored in a computer-readable storage medium and executable by at least one processor of a motivational content recommendation system, the computer program stored in a computer-readable storage medium performing the motivational content recommendation method described in any one of claims 1 to 21.

24. A computer-readable storage medium recording a computer program for performing a method for recommending motivational content as described in any one of paragraphs 1 to 21.

Images