WO2023090509A1

WO2023090509A1 - Prediction information providing system using artificial intelligence

Info

Publication number: WO2023090509A1
Application number: PCT/KR2021/017837
Authority: WO
Inventors: 박지원
Original assignee: 박지원
Priority date: 2021-11-22
Filing date: 2021-11-30
Publication date: 2023-05-25
Also published as: KR102584202B1; KR20230074937A

Abstract

Provided is a prediction information providing system using artificial intelligence. In this regard, the present invention comprises: a central server; and a smartphone where a separate application interworking with the central server in real time is installed, wherein a place to which a user moved is stored in the smartphone in real time through a navigation function installed in the smartphone and at the same time, the stored information is transmitted to the central server, the central server analyzes a behavior pattern of the user through the places to and routes by which the user moved according to time periods, and information of the user input to a calendar installed in the smartphone is also transmitted to the central server in real time. The central server pre-displays, on a display unit of the smartphone, a plurality of windows for showing required information to the user, before another application installed in the smartphone is used when the smartphone is used, on the basis of a schedule of the user according to commuting times, lunch or dinner times, office hours, and the calendar of the user, according to time periods.

Description

Predictive information providing system using artificial intelligence

The present invention relates to a predictive information providing system using artificial intelligence.

In general, services and related technologies for recommending restaurants, cafes, bars, etc. to individuals are being applied in various ways.

On the other hand, as related prior art, Korean Patent Laid-Open Publication No. 10-2019-0104487 is disclosed, and a conventional artificial intelligence-based food recommendation method and apparatus according to a user's status include a mobile terminal and an external terminal connected to the mobile terminal. Obtaining at least one piece of usage information from , applying the usage information to a pre-trained 1st ANN model, determining a user state of a user based on an output value of the 1 ANN model, and a user state of the user. Determining the user's preferred food based on the information, wherein the user's state includes at least one of an emotional state and a health state, and the user's state is determined, and food is recommended according to the determination result.

However, there is room for improvement in artificial intelligence food menu recommendation technology using machine learning by reflecting the user's preferred food ingredients, preferred restaurants, preferred food categories, and various rating data for food menus in addition to simple emotional states or health conditions. exist.

On the other hand, the background art from which the present invention was derived is described as follows.

A disadvantage of apps using conventional recommendation systems is that an app providing a recommendation system must first be executed.

Consumers also know that apps with a recommendation system show the places where they paid the most money first, and they doubt whether the reason the app recommends them is because they really like it the most or simply because they paid a lot of money. may have a reluctance.

In other words, you may have doubts about whether you are using an ‘app that recommends good restaurants’ or a ‘neighborhood flyer that informs you of restaurants with high advertising costs’, and you may end up feeling reluctance to use the app.

Running the app by reducing this reluctance as much as possible is the first gateway to an app that uses a recommendation system. In addition to the recommendation system used in the revenue model, the present invention predicts and shows everything the user needs, so 'one of the elements that show everything the user needs' Its purpose is to provide it naturally so that it can be written as 'one'.

[Prior art literature]

[Patent Literature]

(Patent Document 0001) KR 10-2019-0001386 (published on 2020.08.04)

The purpose of the present invention is 1) to minimize smartphone manipulation by using user information stored in the smartphone, and 2) to immediately display what is needed even to those who are not familiar with smartphone manipulation, such as middle-aged or elderly people. Through this, the purpose is to help those who have a mobile phone but do not know how to use it and use only basic functions.

The technical problems of the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below.

A predictive information providing system using artificial intelligence is introduced. To this end, the present invention provides a central server; A smartphone with a separate app installed that can be linked with the central server in real time; but, through the navigation function installed in the smartphone, the place to which the user has moved is stored in the smartphone in real time, and the stored information is It is transmitted to the central server, and the central server analyzes the user's behavior pattern through the user's moving place and route for each time period, and the user's information entered in the schedule installed in the smartphone is also transmitted to the central server in real time Characterized in that, the central server informs the user before using other apps installed on the smartphone when the smartphone is executed based on the user's schedule according to the user's commute time, lunch or dinner time, business hours and schedule by time zone. It is characterized in that a plurality of windows capable of showing necessary information are previously displayed on the display unit of the smartphone.

When it is determined that the user's going to work time is based on the analysis of the user's behavioral pattern through the central server and the app linked therewith, the time required to go to work is displayed on the display unit of the smartphone through the user's behavioral pattern when the smartphone is running. At the same time, a window displaying the alternative commuting route and the time required through the alternative commuting route is displayed on the display unit of the smartphone.

On the display unit of the smartphone, a window displaying the user's schedule according to the schedule is displayed, and at the same time, a plurality of transportation windows that can go to the destination based on the time taken to the destination of the user are displayed. Based on the user's schedule according to, a window for the user to use the transportation is displayed, and at the same time, the expected arrival time, payment method, and window for calling the transportation are displayed at the same time, based on the user's schedule according to the schedule. If there is a transportation reserved by the user, a plurality of transportation windows are displayed on the display unit of the smartphone to allow the user to go to the destination in order to board the reserved transportation, and when using public transportation, the user is informed based on the traffic status. A window informing the departure time in advance is displayed, and at the same time, when using a taxi among the plurality of means of transportation, the expected price when using the taxi and a call reservation window for using the taxi are displayed at the same time, and the display unit of the smartphone displays the information available at the user's destination. It is characterized in that the convenient facility window is displayed at the same time.

Through the analysis of the user's behavioral pattern, the user's display unit displays the email information window to be checked in conjunction with the user's email at the set time before the user's lunchtime, and at the same time, the user's behavioral pattern analysis provides the user with a plurality of A window for providing recommended restaurants is displayed, and at the same time, a window for making reservations for the recommended restaurant is displayed. Through the analysis of the user's behavior pattern by time period, the user's display unit displays the frequency of apps run by the user by time period in the order of highest frequency. As such, a plurality of apps are displayed on the display unit.

The icon and text size displayed on the display unit of the smartphone is calculated according to Equation 1 below based on the user's smartphone display size, the user's age, and the user's typing and touch response speed. It is characterized in that the amount of characters of information displayed on the display unit of the smart phone decreases as the size of the icons and characters increases.

[Equation 1]

(Here, the SP is the icon and text size to be displayed on the user's smartphone, the SPref is the basic icon and text size of the user's smartphone, AG is the age of the corresponding user, and the DPS is the corresponding The display size of the user's smartphone, the DPSavg is the average display size of all users' smartphones collected in the central server, the RS is the typing and touch response speed of the corresponding user, and the RSavg is the average display size of all users' smartphones collected in the central server It represents the average typing and touch response speed of all users.)

According to the present invention composed of the above configuration, the following various effects are implemented.

First, when the user operates the smartphone without executing a separate app to obtain the information the user needs, there is an advantage in that the necessary information is displayed in advance on the screen of the smartphone.

Second, there is an advantage in that the effort and time required to obtain the information required by the user is reduced.

Third, from the point of view of providing the app, there is an advantage in that it gives the user recognition as a convenient function displayed on the user's smartphone or recognizes it as natural information without giving the user the recognition that it is an advertising app.

Fourth, as it is specialized in service recommendation, operators who do business through the app can find a new promotion path through this service, and have the advantage of being able to promote to the target audience more effectively than existing advertising channels.

Fifth, although existing app promotion channels are limited like YouTube advertisements or banner advertisements, according to the present invention, the service of the app to be promoted can be used with just a few touches without installation, thereby enabling more effective promotion.

Sixth, a user's psychological barrier when using a new service is greatly lowered, and various effects such as a more effective advertisement are possible.

Effects according to the technical spirit of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a schematic diagram showing a predictive information providing system using artificial intelligence according to some embodiments of the present invention by way of example.

2 to 12 are views for illustratively describing services provided according to some embodiments of the present invention.

13 is a schematic diagram of an algorithm applied to the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms, only the present embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention belongs. It is provided to completely inform the person who has the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numbers designate like elements throughout the specification.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used in a meaning commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

Also, in this specification, the singular form may also include the plural form unless otherwise specified in the phrase. As used herein, "comprises" and/or "comprising" means that a stated component, step, operation, and/or element is present in the presence of one or more other components, steps, operations, and/or elements. or do not rule out additions.

The present invention relates to an invention that can conveniently use all functions that have not been used without complex manipulation by using artificial intelligence for children and the elderly who have difficulty using smartphones.

The present invention relates to an invention that predicts an operation to be performed by a user using artificial intelligence and shows it in advance on a display unit of a smartphone prior to operation.

1 is a schematic diagram of the present invention, and the present invention includes a central server 100 and a smartphone 200 installed with a separate app capable of interworking with the central server in real time.

However, the function of the present invention to be described below is not implemented only when the app is executed, but when the app is installed on the smartphone, the app operation is not required to run the app, and the corresponding app is displayed on the display unit 300 of the smartphone. This is where the app features are implemented.

Through the app, the user's location tracking, as well as information such as the user's frequently used restaurant, user's residence, and company are stored in the app and at the same time the information is transmitted to the central server, and the central server is based on the received information Restaurant recommendation information, which will be explained below to the user, is also transmitted to the user's smartphone through the app.

The central server may be installed in a separate location, or may be installed in the smartphone when the corresponding app is stored in the smartphone.

That is, through the navigation function installed in the smartphone, the place where the user has moved is stored in the smartphone in real time, and at the same time, the stored information is transmitted to the central server. Analyze the pattern.

The analyzed content results are linked with the app in real time. For example, the company location, restaurant, theater, etc. that the user has moved to by time zone are stored, and the current user's situation is analyzed by time zone based on the stored data, and the apps used by the user by time zone are also stored. The most used apps by each user are also saved.

In addition, the user's information entered in the schedule installed on the smartphone is also transmitted to the central server in real time.

On the other hand, the central server obtains information necessary for the user before using other apps installed on the smartphone when the smartphone is running based on the user's schedule according to the user's commute time, lunch or dinner time, business hours, and schedule by time zone. It is characterized in that a plurality of windows that can be displayed in advance on the display unit of the smartphone. That is, according to the present invention, a plurality of windows are displayed on the display unit of the smartphone before the user predicts the operation to be performed with the smartphone and operates the operation.

2 and 3 are views showing one embodiment of the present invention. As shown, when it is determined that the user's going to work time is based on the analysis of the user's behavior pattern through the central server and the app linked thereto, that is, the central server checks the time in real time and the current attendance based on the data received from the user during that time. If it is determined as time, the time required to go to work is displayed through the user's behavioral pattern when the smartphone is executed.

Through the navigation function installed in the smartphone, it is also determined whether the user is currently in the residence, and data on the user's commute time is also accumulated through the corresponding navigation function, and the user's commute time is also learned.

As shown in FIG. 2, when the user goes to work through the route he or she used to go to work, along with a window about today's weather, the expected required time window 10 is immediately displayed, and at the same time, an alternative commute route 11 is displayed on the screen below. ) and a window displaying the alternative commuting route time 12 is displayed on the display unit of the smartphone.

Through this, the user does not have to search for another route when driving a separate app to go to his/her company, but by driving only the smartphone, the user can know the alternative route to work and the time required to use the alternative route.

As shown in FIG. 3 , necessary information according to the progress of the user to go to work is provided to the user even if the user does not execute a separate app.

When the smartphone is driven, there is an advantage in that a recommendation system that is convenient and accurate enough to be used for granted is provided so that necessary functions for the user are naturally displayed on the display unit.

On the other hand, Figure 3 is a view showing a screen that immediately provides necessary information in real time according to the progress of the user to go to work. The screen with the same function as 3 will be displayed.

4 and 5 are diagrams showing another embodiment of the present invention. As shown, based on the user's schedule according to the schedule, a window expected to be desired by the user is displayed on the display unit of the smart phone.

That is, when the user saves the user's schedule in the schedule table installed on the smartphone, the information is not only stored in the smartphone, but also transmitted to the central server, and the central server and the app installed on the smartphone are operated in conjunction with each other. When the smart phone is driven, windows such as those shown in FIGS. 4 and 5 are displayed on the display unit of the smart phone.

Specifically, it is as follows. It is characterized in that a transportation window 13 that allows the user to go to the destination without delay is displayed based on the time required to reach the destination.

In FIG. 4 , a window of time required to reach 'Lotte World Tower' stored in the schedule by the user is displayed along with a window saying 'It's not long until the appointment time!' based on current traffic conditions.

At this time, the user's current residence, 'Hayan Village Grandville', has already been analyzed as the user's house through the user's behavior pattern.

At this time, according to the present invention, a window for means of transportation that can go to the destination is displayed, and at the same time, when using the transportation, the estimated time of arrival 14, the payment means 15, and the window 16 for calling the transportation are displayed at the same time to be characterized

Of course, as shown in FIG. 5, a window 17 for displaying the user's schedule is created and a plurality of transportation windows 18 that can go to the user's destination are displayed at the same time. In the case of using the taxi, it is characterized in that the 'call' reservation and the required amount are displayed as described above so that the taxi can be used easily.

Through this, even if you do not run a separate taxi app to take a taxi, when you operate your smartphone, a window that allows you to call a taxi is displayed on the screen of your smartphone. There is no resistance to becoming, and the effect that is naturally accepted is realized.

6 and 7 are also views showing another embodiment of the present invention.

As shown, based on the user's schedule according to the schedule, a convenience facility window available at the user's destination is simultaneously displayed on the display unit of the smart phone.

That is, as shown in FIG. 6, when a user makes a reservation for a theater to watch a movie, the movie title, theater, seat, and ticket barcode are displayed on the display unit of the smartphone, as well as a separately displayed 'snack bar' ,22))', a window for selecting food is displayed as shown in FIG. 7 .

Through this, instead of launching a separate app to buy food at the theater, the moment the smartphone is operated, a window for purchasing the food in advance is displayed, eliminating the objection to the app and from the user's point of view. The effect of accepting such a purchase window display as natural is implemented.

Meanwhile, FIGS. 8 and 9 are also diagrams showing another embodiment of the present invention.

Based on the user's schedule according to the schedule, if there is a transportation 23 reserved by the user, a plurality of transportation windows ( 24) is displayed, and a window 25 that informs the user of the departure time in advance based on the traffic status when using public transportation is displayed. It is characterized in that a call reservation window 28 for using a taxi is simultaneously displayed.

That is, as shown in FIG. 8, when the smartphone is driven, the user's reserved transportation window is displayed on the first screen of the display unit even if a separate app is not executed, and at the same time, the user's departure time is notified to use the reserved transportation. A window is also displayed.

Furthermore, an information window about public transportation and taxis available to the user to get to 'Suseo Station', for example, is also displayed.

At this time, as described above, when the user wants to use a taxi, it is characterized in that a 'call reservation' window is displayed to call a taxi right away without driving a separate taxi app.

Meanwhile, FIGS. 10 and 11 are also diagrams showing another embodiment of the present invention.

Through the analysis of the user's behavioral pattern, the user's display unit displays the email information window 29 that the user needs to check in conjunction with the user's email at the set time before the user's lunchtime, and at the same time, through the analysis of the user's behavioral pattern A window 30 capable of providing a plurality of recommended restaurants to the user is displayed and a window 31 capable of making a reservation for the recommended restaurant is displayed simultaneously.

That is, according to the present invention, even when looking for a restaurant for lunch, the user's behavior is analyzed and the restaurant that suits the user's taste and has a good rating is displayed on the display unit of the smartphone in advance even if the user does not run a separate app.

That is, as shown in FIG. 10, when it is determined that the user's lunch time is 12 o'clock through the navigation installed in the smartphone and the user's behavior pattern analysis, when the user drives the smartphone from 11:30, before 12 o'clock, An e-mail information window to be checked by the user is displayed in association with the user's e-mail.

Furthermore, a window capable of providing a plurality of recommended restaurants to the user through the user's behavioral pattern analysis is displayed.

For example, as a result of analyzing the user's behavior pattern, if the user frequently eats Japanese food, a separate window for introducing related restaurants is displayed, and at the same time, a 'restaurant reservation' window or 'restaurant phone number' for making reservations for the recommended restaurant is displayed. It is characterized in that the window is directly displayed.

Through this, the user does not have to operate a separate app to find another restaurant, and the recommended restaurant window is displayed on the display unit, so that the user also recognizes that a natural window is displayed rather than running an app for promotion.

Meanwhile, as shown in FIG. 11 , the user's display unit displays the frequency of apps executed by the user for each time period in the order of increasing frequency through the user's behavior pattern analysis for each time period.

That is, when the central server and the app are interlocked and it is determined that the user is currently at work, a plurality of apps ( 32) is characterized by what it indicates.

Through this, the most used app is displayed on the display unit according to the user's activity time, and the user can use the app directly displayed on the display unit without having to find a separate app to drive the corresponding app.

Meanwhile, FIG. 13 relates to a schematic diagram of an algorithm applied to the present invention.

As shown, the user using the corresponding app provides a usage pattern through the app separately, or, as described above, the user's usage pattern or behavior pattern is automatically stored in the central server through the app using the navigation function.

The central server classifies user groups for each pattern using the corresponding pattern information, predicts the user's pattern for each user, and displays it on the display unit of the user's smartphone even if the user does not execute a separate app as described above.

Of course, for example, an advertiser who wants to use a corresponding app for restaurant information to be provided to a user may interlock with the corresponding app through a separate contract.

On the other hand, in order to optimize display information customized for each user, the icon and text size displayed on the display unit of the smartphone is calculated based on the user's smartphone display size, the user's age, and the user's typing and touch response speed. However, the amount of text of the information displayed on the smartphone display unit of the corresponding user may decrease as the size of the icon and text increases.

Specifically, the icon and text size displayed on the display unit of the smartphone is calculated according to Equation 1 below based on the user's smartphone display size, the user's age, and the user's typing and touch response speed.

Meanwhile, the amount of text of information displayed on the smartphone display unit may decrease as the size of the icon and text increases. For example, if the size of the icon and text is larger than the standard value (ex, SP >= 1.3 x SPref), the amount of displayed information may be lowered by one level (ex, "It's humid and it's raining here and there" = > "humidity/showers").

Those skilled in the art related to the present embodiment will be able to understand that it may be implemented in a modified form within a range that does not deviate from the essential characteristics of the above description. Therefore, the disclosed methods are to be considered in an illustrative rather than a limiting sense. The scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the equivalent scope will be construed as being included in the present invention.

Claims

central server;

A smartphone installed with a separate app capable of interworking with the central server in real time; including,

The location to which the user has moved is stored in the smartphone in real time through the navigation function installed in the smartphone, and at the same time, the stored information is transmitted to the central server, and the central server determines the location where the user has moved by time and route. It is characterized in that the behavior pattern of is analyzed, and the information of the user entered in the schedule installed in the smartphone is also transmitted to the central server in real time,

The central server can show necessary information to the user before using other apps installed on the smartphone when the smartphone is running based on the user's schedule according to the user's commuting time, lunch or dinner time, business time, and schedule by time zone. A prediction information providing system using artificial intelligence, characterized in that a plurality of windows are displayed in advance on the display unit of the smartphone.
According to claim 1,

When it is determined that the user's going to work time is based on the analysis of the user's behavioral pattern through the central server and the app linked therewith, the time required to go to work is displayed on the display unit of the smartphone through the user's behavioral pattern when the smartphone is running. At the same time, a window displaying the alternative commuting route and the time required through the alternative commuting route is displayed on the display unit of the smartphone, a predictive information providing system using artificial intelligence.
According to claim 1,

On the display of the smartphone,

Characterized in that a window displaying the user's schedule according to the schedule is displayed, and a plurality of transportation windows for going to the destination based on the time taken to the destination of the user are displayed,

Based on the user's schedule according to the schedule, a window that allows the user to use the transportation is displayed, and at the same time, the expected arrival time, payment method, and window for calling the transportation are displayed at the same time,

If there is a transportation reserved by the user based on the user's schedule according to the schedule, a plurality of transportation windows are displayed on the display unit of the smartphone to allow the user to go to the destination in order to board the reserved transportation,

When using public transportation, a window informing the user of the departure time in advance based on the traffic status is displayed, and at the same time, when using a taxi among the plurality of transportation options, the estimated price when using the taxi and a call reservation window for using the taxi are displayed at the same time,

A system for providing prediction information using artificial intelligence, characterized in that a window of convenience facilities available at the destination of the user is simultaneously displayed on the display unit of the smartphone.
According to claim 3,

Through the analysis of the user's behavioral pattern, the user's display unit displays the email information window to be checked in conjunction with the user's email at the set time before the user's lunchtime, and at the same time, the user's behavioral pattern analysis provides the user with a plurality of A window for providing recommended restaurants is displayed and a window for making reservations for the recommended restaurants is displayed at the same time.

A system for providing prediction information using artificial intelligence, characterized in that a plurality of apps are displayed on the display unit in the order of the frequency of the apps executed by the user by time period on the display unit through the analysis of the user's behavior pattern by time period.
According to claim 4,

The icon and text size displayed on the display unit of the smartphone is calculated according to Equation 1 below based on the user's smartphone display size, the user's age, and the user's typing and touch response speed. A system for providing predictive information using artificial intelligence, characterized in that the amount of characters displayed on the smartphone display unit decreases as the size of the icons and characters increases.

[Equation 1]

(Here, the SP is the icon and text size to be displayed on the user's smartphone, the SPref is the basic icon and text size of the user's smartphone, AG is the age of the corresponding user, and the DPS is the corresponding The display size of the user's smartphone, the DPSavg is the average display size of all users' smartphones collected in the central server, the RS is the typing and touch response speed of the corresponding user, and the RSavg is the average display size of all users' smartphones collected in the central server It represents the average typing and touch response speed of all users.)