KR102562714B1 - Control method of electronic device providing helper matching service according to errand request - Google Patents

Abstract

The present invention relates to a control method of an electronic device that provides a helper matching service according to an errand request, and more particularly, a step of receiving, by the electronic device, a service request from a customer's first terminal; inputting information to a first model pre-learned to calculate an appropriate price for an errand request; identifying, by an electronic device, an errand price for a service request based on an output obtained from the first model; selecting, by the device, at least one helper based on service request information and an errand price; and, by an electronic device, each of the selected helpers based on the current location received from the second terminal of each selected helper and the service request. Obtaining a schedule for the service request of the electronic device, providing the schedule to the second terminal of each selected helper, by the electronic device, among the second terminals, the second terminal of the helper who accepted the errand price according to the schedule 3 The step of identifying the terminal, and the step of matching the first terminal and the third terminal, by the electronic device, and providing an alarm indicating that helper matching according to the errand price has been completed to the first terminal.

Description

Control method of electronic device providing helper matching service according to errand request

The present invention relates to a control method of an electronic device that provides a helper matching service according to an errand request, and more particularly, when a request for an errand is registered, based on this, automatically generating errand contents and a scheduler for the errand, Through an artificial intelligence model trained to calculate errand estimates based on other errand records, an appropriate errand price is presented to helpers, increasing the matching rate of helpers who will perform errands, and creating a schedule based on each helper's current location. It is a technology that increases the acceptance rate for errands by allowing helpers to visually check the payable hourly wage through an artificial intelligence model.

Along with the increase in dual-income parents, single-parent families, animal companion families, and the elderly population, along with the decrease in outings due to epidemics, care services for children (ex. going to and from the office, house, play, etc.), pet walks, and short-distance errand services ( ex. delivery, transportation, etc.), and livelihood-oriented part-time jobs (ex. cleaning, cooking, etc.) are increasing in the labor force.

Conventional services, excluding delivery, in which prices are set according to weather conditions and distance, are reverse auctions, and there is a problem in that helpers are paid a lower price for errands than the amount of work because the standard for the helper to present the price to the customer is insufficient. In the case of the customer, there is a problem that it is difficult to determine whether the proposed price is appropriate.

On the other hand, the matters described as the background art above are only for improving understanding of the background of the present invention, and should not be taken as an admission that they correspond to prior art already known to those skilled in the art. will be.

Publication No. 10-2020-0000757, 2020.01.03.

An object to be solved by the present invention is an artificial intelligence model that automatically calculates the price of an errand, and an artificial intelligence model that automatically creates a schedule, each learned with learning data according to the price and schedule for previously performed errands. An object of the present invention is to provide a control method of an electronic device that provides a helper matching service according to an errand request, helping helper matching through a process.

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

According to an aspect of the present invention for solving the above problems, in the control method of an electronic device that provides a helper matching service according to an errand request, the electronic device receives a service request from a customer's first terminal; Step, by the device, inputting information about the service request into a first model pre-learned to calculate an appropriate price for the errand request, the electronic device running the errand for the service request based on the output obtained from the first model Identifying a price, selecting, by the electronic device, at least one helper based on the service request information and the errand price, the electronic device, the current location of each of the selected helpers received from the second terminal, and the service request Obtaining a schedule for each service request of the selected helper based on the above, providing the schedule to the second terminal of each selected helper by the electronic device, and running errands according to the schedule among the second terminals. identifying a third terminal of the helper who has accepted the price; and matching, by the electronic device, the first terminal and the third terminal, and providing an alarm to the first terminal about completion of matching the helper according to the errand price. include

In addition, the first model is selected from among errand category, gender of errand helper by category, gender of preferred helper by category, errand desired time, errand start time, errand end time, purchased item, performance location, and paid price. It may be characterized in that it is learned based on learning data including at least one.

In addition, receiving the service request may include providing a user interface (UI) for obtaining a selection of at least one of a plurality of categories pre-registered with the first terminal when receiving the service request, from the first terminal. Obtaining a user command for selecting at least one of a plurality of categories, providing a UI for performing a detailed input on the selected category to a first terminal, obtaining a user command for a detailed input from the first terminal; The method may further include identifying at least one keyword according to the detailed input, and generating requested information based on the selected category and keyword.

In addition, acquiring the schedule may include inputting the requested information, together with each current location of the second terminal, into a second model, pre-learned to generate an errand schedule, and a second model obtained from the first model. 2 Further comprising obtaining a schedule for requesting a service based on the output of each terminal, and the request information may include at least one of a necessary item, a place to perform, a desired time, and an estimated required time. there is.

In addition, the second model is learned based on learning data including at least one of an errand category, a gender of an errand run helper for each category, an errand start time, an errand end time, a location of the helper when an errand is accepted, and a place where the errand is performed. that can be characterized.

In addition, the control method of the electronic device may include: identifying, by the electronic device, at least one first category capable of running errands based on a record of performing errands for a first helper; Identifying the first errand price, which is the average errand price per hour of one helper, and the first rating, which is the average rating of the first helper for each first category, by the electronic device, based on the first rating, Acquiring a first reference price, which is an average price of errands run by other helpers having a history of running errands in one category, but having a rating less than a threshold difference from the first score, and a difference between the first reference price and the first errand price. The electronic device may further include requesting a price adjustment by providing the first reference price to the terminal of the first helper when the threshold ratio for 1 reference price is exceeded.

Additionally, the obtaining of the first reference price may include, when the difference between the first reference price and the first errand price exceeds a threshold ratio with respect to the first reference price, and the first reference price exceeds the first errand price, the first helper's reference price exceeds the first errand price. The set standard brokerage fee is changed to an amount to which an additional fee proportional to the difference between the first reference price and the first errand price is applied, and the difference between the first reference price and the first errand price exceeds a threshold ratio for the first reference price, but the first If the reference price is less than the first errand price, a reward of a predetermined ratio to the predetermined standard brokerage fee of the first helper may be paid to the first helper.

In addition, the control method of the electronic device includes, when a second helper, which is a new helper, is registered, identifying, by the electronic device, at least one second category based on job application information of the second helper; Identifying the average rating of the second category, acquiring, by the electronic device, a second reference price of another helper that matches the average rating of the second category, applying a preset reference weight to the second reference price, by the electronic device , calculating the subtracted second errand price, and if a suitable errand price for which a difference between the second errand price and the second errand price is less than a threshold value is identified among the errand prices offered for the second category, the electronic device: A suitable errand schedule may be provided to the terminal of the second helper.

Other specific details of the invention are included in the detailed description and drawings.

According to the control method of an electronic device that provides a helper matching service according to an errand request of the present invention, in the case of a customer, fairy information is automatically generated according to category selection and input of other details, so that it is convenient to use the service, and in the case of a helper , It provides a schedule to calculate the actual hourly wage and provides a price proposal guide, so as the matching rate increases, appropriate tasks can be assigned, and satisfaction with service use increases.

The effects of the present invention 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 configuration diagram of an electronic device according to an embodiment of the present disclosure.
2 is a memory configuration diagram according to an embodiment of the present disclosure.
3 is a system configuration diagram according to an embodiment of the present disclosure.
4 is a basic flow diagram according to an embodiment of the present disclosure.
5 is a service request screen diagram according to an embodiment of the present disclosure.

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, but may be implemented in various different forms, only these embodiments are intended to complete the disclosure of the present invention, and are common in the art to which the present invention belongs. It is provided to fully inform the person skilled in the art of the scope of the invention, and the invention is only defined by the scope of the claims.

Terminology used herein is for describing the embodiments and is not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. As used herein, "comprises" and/or "comprising" does not exclude the presence or addition of one or more other elements other than the recited elements. Like reference numerals throughout the specification refer to like elements, and “and/or” includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various components, these components are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first element mentioned below may also be the second element within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled 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.

The term "unit" or "module" used in the specification means a hardware component such as software, FPGA or ASIC, and "unit" or "module" performs certain roles. However, "unit" or "module" is not meant to be limited to software or hardware. A “unit” or “module” may be configured to reside in an addressable storage medium and may be configured to reproduce one or more processors. Thus, as an example, a “unit” or “module” may refer to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. Functions provided within components and "units" or "modules" may be combined into smaller numbers of components and "units" or "modules" or may be combined into additional components and "units" or "modules". can be further separated.

The spatially relative terms "below", "beneath", "lower", "above", "upper", etc. It can be used to easily describe a component's correlation with other components. Spatially relative terms should be understood as including different orientations of elements in use or operation in addition to the orientations shown in the drawings. For example, if you flip a component that is shown in a drawing, a component described as "below" or "beneath" another component will be placed "above" the other component. can Thus, the exemplary term “below” may include directions of both below and above. Components may also be oriented in other orientations, and thus spatially relative terms may be interpreted according to orientation.

In this specification, a computer means any kind of hardware device including at least one processor, and may be understood as encompassing a software configuration operating in a corresponding hardware device according to an embodiment. For example, a computer may be understood as including a smartphone, a tablet PC, a desktop computer, a laptop computer, and user clients and applications running on each device, but is not limited thereto.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a configuration diagram of an electronic device 100 according to an embodiment of the present disclosure.

As shown in FIG. 1 , the electronic device 100 includes a memory 110, a communication unit 120 communicating with at least one terminal, and connected to the memory 110 and the communication unit 120, respectively. ) Includes a processor 130 that controls the overall operation of.

In one embodiment, the electronic device 100 includes a server, a smartphone, a tablet personal computer (PC), a mobile phone, a video phone, a laptop PC, and a netbook computer. ), a notebook computer, a personal digital assistant (PDA), a portable multimedia player (PMP), and a wearable device.

2 is a configuration diagram of a memory 110 according to an embodiment of the present disclosure.

As shown in FIG. 2 , the memory 110 includes an errand category, gender of errand run helper for each category, gender of preferred helper for each category, desired errand run time, errand start time, errand end time, purchased goods, and execution location. The first model 111, which is learned to calculate an appropriate price for an errand request, based on learning data including at least one of , , and a paid price, and errand category, gender of errand helper for each category, and errand start time A second model 112 learned to create an errand schedule based on learning data including at least one of , end time of errand, location of helper when errand is accepted, and place where errand is performed.

Meanwhile, the memory 110 may store various programs and data necessary for the operation of the electronic device 100 . The memory 110 may be implemented as a non-volatile memory 110, a volatile memory 110, a flash-memory, a hard disk drive (HDD), or a solid state drive (SSD).

The communication unit 120 may communicate with an external device. In particular, the communication unit 120 may include various communication chips such as a Wi-Fi chip, a Bluetooth chip, a wireless communication chip, an NFC chip, and a low energy Bluetooth chip (BLE chip). At this time, the Wi-Fi chip, the Bluetooth chip, and the NFC chip perform communication in a LAN method, a WiFi method, a Bluetooth method, and an NFC method, respectively. In the case of using a Wi-Fi chip or a Bluetooth chip, various connection information such as an SSID and a session key is first transmitted and received, and various information can be transmitted and received after communication is connected using this. The wireless communication chip refers to a chip that performs communication according to various communication standards such as IEEE, ZigBee, 3rd Generation (3G), 3rd Generation Partnership Project (3GPP), Long Term Evolution (LTE), and 5th Generation (5G).

The processor 130 may control overall operations of the electronic device 100 using various programs stored in the memory 110 . The processor 130 may include a RAM, a ROM, a graphic processing unit, a main CPU, first through n interfaces, and a bus. At this time, the RAM, ROM, graphic processing unit, main CPU, first to n interfaces, etc. may be connected to each other through a bus.

RAM stores O/S and application programs. Specifically, when the electronic device 100 is booted, O/S is stored in RAM, and various application data selected by the user may be stored in RAM.

The ROM stores instruction sets for system booting. When a turn-on command is input and power is supplied, the main CPU copies the O/S stored in the memory 110 to the RAM according to the command stored in the ROM, and executes the O/S to boot the system. When booting is completed, the main CPU copies various application programs stored in the memory 110 to RAM, and executes the application programs copied to RAM to perform various operations.

The graphic processing unit uses a calculation unit (not shown) and a rendering unit (not shown) to create a screen including various objects such as items, images, and text. Here, the calculation unit may be configured to calculate attribute values such as coordinate values, shape, size, color, etc. of each object to be displayed according to the layout of the screen by using a control command received from the input unit. And, the rendering unit may be configured to generate screens of various layouts including objects based on the attribute values calculated by the calculation unit. The screen created by the rendering unit may be displayed within the display area of the display.

The main CPU accesses the memory 110 and performs booting using the OS stored in the memory 110 . And, the main CPU performs various operations using various programs, contents, data, etc. stored in the memory 110 .

The first through n interfaces are connected to the various components described above. One of the first through n interfaces may be a network interface connected to an external device through a network.

Meanwhile, furthermore, the processor may control the artificial intelligence model. In this case, of course, the processor may include a graphics-only processor (eg, GPU) for controlling the artificial intelligence model.

Meanwhile, the artificial intelligence model according to the present invention may be a model based on supervised learning or unsupervised learning. Furthermore, the artificial intelligence model according to the present invention may include a support vector machine (SVM), a decision tree, a neural network, and the like, and methodologies to which they are applied.

As an embodiment, the artificial intelligence model according to the present invention may be an artificial intelligence model based on convolutional deep neural networks (CNN) learned by inputting training data. However, it is not limited thereto, and it goes without saying that various artificial intelligence models can be applied to the present invention. For example, models such as a deep neural network (DNN), a recurrent neural network (RNN), and a bidirectional recurrent deep neural network (BRDNN) may be used as an artificial intelligence model, but are not limited thereto.

At this time, convolutional deep neural networks (CNNs) are a type of multilayer perceptrons designed to use a minimum of preprocessing. A convolutional neural network consists of one or several convolutional layers and general artificial neural network layers placed on top of them, and additionally utilizes weights and pooling layers. Thanks to this structure, convolutional neural networks can fully utilize input data with a two-dimensional structure. Also, convolutional neural networks can be trained via standard back-propagation. Convolutional neural networks are easier to train than other feedforward artificial neural network techniques and have the advantage of using fewer parameters.

In addition, deep neural networks (DNNs) are artificial neural networks (ANNs) consisting of a plurality of hidden layers between an input layer and an output layer.

At this time, the structure of the deep neural network may be composed of a perceptron. Perceptron consists of several inputs, one processor, and one output value. The processor multiplies each of a plurality of input values by a weight, and then sums all the input values multiplied by the weight. Then, the processor substitutes the summed value into the activation function and outputs one output value. If a specific value is desired as an output value of the activation function, a weight value multiplied with each input value may be modified, and an output value may be recalculated using the corrected weight value. At this time, each perceptron may use a different activation function. In addition, each perceptron accepts the outputs passed from the previous layer as inputs, and then obtains the outputs using the activation function. The obtained output is passed as input to the next layer. Through the process as described above, several output values can finally be obtained.

Recurrent Neural Network (RNN) refers to a neural network in which the connections between units constituting an artificial neural network constitute a directed cycle. Unlike feed-forward neural networks, recurrent neural networks can utilize the memory inside the neural network to process arbitrary inputs.

Deep Belief Networks (DBN) is a generative graphical model used in machine learning. In deep learning, it means a deep neural network consisting of multiple layers of latent variables. There are connections between layers, but there is no connection between units within a layer.

Due to the characteristics of a generative model, the deep trust neural network can be used for prior learning, and after learning initial weights through prior learning, the weights can be fine-tuned through backpropagation or other discrimination algorithms. This characteristic is very useful when there is little training data, because the smaller the training data, the stronger the influence of the initial weight values on the resulting model. The pre-learned initial value of the weight becomes closer to the optimal weight than the arbitrarily set initial value of the weight, which enables the performance and speed of the fine-tuning step to be improved.

The above-described artificial intelligence and its learning method are described for illustrative purposes, and the artificial intelligence and its learning method used in the above-described embodiments are not limited. For example, all kinds of artificial intelligence technologies and learning methods that can be applied by a person skilled in the art to solve the same problem can be used to implement the system according to the disclosed embodiment.

Meanwhile, the processor 130 may include one or more cores (not shown) and a graphic processor (not shown) and/or a connection path (eg, a bus) for transmitting and receiving signals to and from other components. can

Processor 130 according to one embodiment performs a method described in connection with the present invention by executing one or more instructions stored in memory 110 .

For example, the processor 130 acquires new training data by executing one or more instructions stored in the memory 110, performs a test on the acquired new training data using a learned model, and performs the test As a result, first training data for which the labeled information is obtained with an accuracy equal to or higher than a predetermined first reference value is extracted, the extracted first training data is deleted from the new training data, and the new training data from which the extracted training data is deleted The learned model may be retrained using the training data.

Meanwhile, the processor 130 includes RAM (Random Access Memory, not shown) and ROM (Read-Only Memory) temporarily and/or permanently storing signals (or data) processed in the processor 130. , not shown) may be further included. In addition, the processor 130 may be implemented in the form of a system on chip (SoC) including at least one of a graphics processing unit, RAM, and ROM.

The memory 110 may store programs (one or more instructions) for processing and control of the processor 130 . Programs stored in the memory 110 may be divided into a plurality of modules according to functions.

3 is a system configuration diagram according to an embodiment of the present disclosure.

As shown in FIG. 3 , the electronic device 100, through the communication unit 120, does not limit the number of the customer's first terminal 200 and the plurality of helper terminals 301 to 303, etc. ) can communicate with each other.

The helper may be a person who acts as an agent for errands (eg child care, part-time job, delivery, surrogate driving, catering, child care, purchasing agent, shopping agent, cleaning, etc.).

In one embodiment, the terminals 200, 301 to 303 may include a server, a smartphone, a tablet personal computer (mobile phone), a video phone, a laptop PC, and a netbook computer. It may include at least one of a netbook computer, a notebook computer, a personal digital assistant (PDA), a portable multimedia player (PMP), and a wearable device.

These terminals 200, 301 to 303 include a memory containing user information (location, account, schedule, etc.), a communication unit for communicating with the electronic device 100, and an input/output unit for obtaining user input and outputting information. , and a processor that controls overall operations of the terminals 200, 301 to 303.

Meanwhile, the input/output unit may include devices for input and output, such as a display, a keyboard, a mouse, a keypad, and a remote controller.

The display is a component for visually outputting various information.

The display may be implemented with LCD (Liquid Crystal Display), PDP (Plasma Display Panel), OLED (Organic Light Emitting Diodes), TOLED (Transparent OLED), Micro LED, etc. may include a display of The display may be implemented in the form of a touch screen capable of detecting a user's touch manipulation, or may be implemented as a flexible display capable of being folded or bent.

4 is a basic flowchart according to an embodiment of the present disclosure, and FIG. 5 is a service request screen diagram according to an embodiment of the present disclosure.

As shown in FIG. 4 , upon receiving a service request from the customer's first terminal 200 (S410), the electronic device 100 learns information about the service request to calculate an appropriate price for the errand request. The errand price for the service request is identified (S430) based on the output obtained from the first model 111.

The service request is a request for helper matching, in which a customer hires a helper to perform errands for a specific purpose. As information, at least one of an errand category, a preferred gender of a helper, a desired errand time, a product to be purchased, and an execution location may be provided.

In helper matching, the electronic device 100 connects the first terminal 200 with a terminal of a helper willing to run an errand in response to a service request, and shares a chatting window, a call connection window, and an errand price payment window. Through this, helpers and customers can propose, accept, and pay for errand prices.

As shown in FIG. 5, the errand category includes child care, child care, purchasing agency, vehicle transport, short-term part-time job, nursing, funeral assistance, pet walking, cleaning, delivery, etc. It is a classified type of

The errand price is an appropriate price that the helper can offer to the customer, and when the price is presented to the customer, the second model 112 is set by the electronic device 100 to increase the probability that the customer accepts the price and hires the helper. It may be a value output through

Thereafter, the electronic device 100 selects at least one helper based on the service request information and the errand price (S440), and based on the current location of each selected helper received from the second terminal and the service request, , A schedule for each service request of the selected helper is obtained (S450), and the schedule is provided to the second terminal of each selected helper (S460).

The schedule may be provided in various forms, such as a calendar form and a checklist, and the electronic device 100 considers accessibility to a place where errands are run based on the current location of each second terminal, which is the current location of each individual helper. Thus, a schedule including a start time and an end point considering an estimated required time and a start time at which errands can actually be performed can be obtained for each helper in a customized manner.

At this time, when identifying the third terminal of the helper who has accepted the errand price according to the schedule among the second terminals (S470), the electronic device 100 matches the first terminal 200 with the third terminal, An alarm is provided to the terminal 200 regarding the completion of helper matching according to the errand price (S480).

The alarm may be implemented by outputting various conventional notification means such as vibration and sound through a terminal.

In an embodiment, after step S480, when the payment of the errand price between the first terminal 200 and the third terminal matched with the helper is completed, the electronic device 100 identifies the end time based on the schedule, and the end time passes. Then, a UI (User Interface) for obtaining an evaluation of the errand service provided by the helper of the third terminal is provided to the first terminal 200, and the evaluation is performed based on the user command obtained from the first terminal 200. To identify information, the identified evaluation information may be stored for the helper of the third terminal.

The evaluation information includes at least one of a category of an errand performed by the helper, a service satisfaction level of the customer, and text for the evaluation.

In addition, as an embodiment, after step S480, when the payment of the errand price between the helper-matched first terminal 200 and the third terminal is completed, the electronic device 100 identifies a start time and an end time, respectively, based on the schedule. and when the start time arrives, at least one of a photographing application and a voice recording application is activated through the third terminal until the end time, and at least one of a video and a sound source is obtained as errand execution information, and the errand execution information is 3 It is possible to prevent the helper from arbitrarily taking pictures of the customer's private space or the customer's body part and storing them by disallowing the storage function to prevent storage in the terminal.

Thereafter, when the end time arrives, the electronic device 100 matches the schedule of the corresponding errand and stores the errand execution information, and when receiving a request to disclose the errand execution information for the corresponding schedule from the first terminal 200, A UI for acquiring a user command for disclosure of errand run information is provided to the third terminal, and upon obtaining the user command from the third terminal, acceptance or rejection of the disclosure of errand run information is identified, and the errand run information If acceptance of the disclosure is identified, the customer may be allowed to view the errand execution information within a threshold number of times through the first terminal 200 .

In this case, the disclosure request for the errand run information may be received again, and the electronic device 100 may protect the portrait right of the helper by disallowing capture and storage of the errand run information.

Meanwhile, in performing step S410, upon receiving a service request, the electronic device 100 provides a UI for obtaining a selection for at least one of a plurality of categories pre-registered with the first terminal 200, 1 A user command for selecting at least one of a plurality of categories may be obtained from the terminal 200 .

Accordingly, the electronic device 100 provides a UI for performing a detailed input on the selected category to the first terminal 200, obtains a user command for a detailed input from the first terminal 200, and performs a detailed input. By identifying at least one keyword according to, by generating request information based on the selected category and keyword, when the customer describes the information necessary for the request, based on the described sentences and words, an application form can be automatically generated. can

In this case, the requested information may include at least one of necessary items (eg, broom, vacuum cleaner, disposable garbage bag, work glove, saw, etc.), execution place, desired time, and expected required time.

As an example, in performing step S410, if at least one necessary item is included in the request information, the electronic device 100 identifies the necessary item as a pre-registered consumable item, by consumable item according to the errand category. Based on the amount of consumption per hour and the product price for each consumable item, the necessary product price for the corresponding service request can be calculated.

Accordingly, in performing step S430, the electronic device 100 may change the errand price by adding the necessary product price and a pre-set purchase agency fee for the necessary product to the identified errand price.

Necessary items are items required to perform errands, and may include, for example, a broom and a vacuum cleaner when the errand category is cleaning.

Consumable items may be disposable items such as wet wipes, kitchen towels, and disinfectants, or items whose contents decrease with use.

The purchasing agent fee is the labor cost for the time or errands required to purchase necessary items that are consumable items.

As an embodiment, in performing step S440, the electronic device 100 may select a helper having an errand performance history for the errand category identified based on the service request from among the plurality of helpers.

In addition, in performing step S440, the electronic device 100 may select a helper registered as an errand allowed category among a plurality of helpers in the errand category identified based on the service request.

Accordingly, the electronic device identifies, among a plurality of helpers, a helper having a selected errand performance history for an errand category identified based on a service request and a terminal of each helper registered in the selected errand category as a second terminal. can do.

The errand category is an errand category designated by the helper through his or her terminal to receive a task.

As an embodiment, in performing step S470, if there are a plurality of helpers who have accepted the corresponding errand price among the selected helpers, the electronic device 100 provides the lowest amount or the closest amount to the errand price to the second terminal. It is possible to identify the helper presented through and identify the terminal of the identified helper as the third terminal.

Meanwhile, in performing step S450, the electronic device 100 may input the requested information together with the current location of the second terminal into the second model 112 pre-learned to generate an errand schedule. .

Accordingly, the electronic device 100 may obtain a schedule for the service request based on the output obtained from the first model 111 according to each of the second terminals.

Meanwhile, the electronic device 100 identifies at least one first category in which errands can be run based on the errand performance history for the first helper, and the average errand price per hour of the first helper for each first category is the first category. The price of one errand and the first rating, which is the average rating of the first helper for each of the first categories, may be identified.

Accordingly, the electronic device 100 determines the first rating, which is the average price of errands run by other helpers having an errand performance history of the first category based on the first rating, but having a rating less than a difference from the first rating and a threshold value. When the reference price is obtained and the difference between the first reference price and the first errand price exceeds the threshold ratio for the first reference price, the errand price that does not match the service quality has been received. You may request a price adjustment.

At this time, in acquiring the first reference price, if the difference between the first reference price and the first errand price exceeds the threshold ratio for the first reference price, and the first reference price exceeds the first errand price, the errand price that is higher than the service quality is determined. received, the electronic device 100 changes the preset reference brokerage fee of the first helper to an amount to which an additional fee proportional to the difference between the first reference price and the first errand price is applied, thereby reducing the customer's satisfaction with the service. A penalty may be given to the first helper.

The brokerage fee is a customer matching brokerage fee charged to the helper as the helper and the customer are matched.

The standard brokerage charge is a brokerage charge applied to each helper, and may be an amount subtracted or added based on the initial brokerage charge.

The initial brokerage fee is an amount corresponding to a certain percentage of the errand price, which is the profit generated for the errand run performed for the first time by the helper.

On the other hand, when the difference between the first reference price and the first errand price exceeds the threshold ratio with respect to the first reference price, but the first reference price is less than the first errand price, the electronic device 100 determines the first helper's predetermined reference brokerage fee. A certain percentage of compensation may be paid to the first helper.

In an embodiment, if the difference between the first reference price and the first errand price exceeds a threshold ratio with respect to the first reference price, but the first reference price is less than the first errand price, the electronic device 100 determines that the average errand price is the first errand price. A first weight proportional to a period during which the price is maintained below the price or a period during which the price of the first errand is maintained at a price having a predetermined price difference or less may be calculated.

At this time, the first weight is a number other than 0 and is less than 1.

Accordingly, the electronic device 100 subtracts the standard brokerage fee by applying a first weight to the standard brokerage fee, and performs the service at a lower cost compared to providing a service that can receive a high rating, thereby contributing to customer satisfaction and an increase in the number of customers using the service. As compensation for this, a low standard brokerage fee can be applied.

As an embodiment, the electronic device 100 identifies a rank of each helper according to an average rating of all helpers for one category per one period, and the identified rank is included in a certain rank, but performs errands during the corresponding cycle. A helper whose ranking has been maintained for a certain period within a corresponding period while the number of times performed exceeds the critical number may be stored as an excellent helper.

Accordingly, the electronic device 100 determines whether the first helper is an excellent helper during one cycle based on the errand performance history of the first helper, and if it is determined that the first helper is an excellent helper, the corresponding cycle A second weight proportional to the period of being maintained as an excellent helper within the service may be calculated.

Thereafter, the electronic device 100 may provide the first helper with a value obtained by applying a second weight to the standard brokerage fee of the first helper generated in the corresponding period as a reward for the excellent helper.

At this time, the second weight is a number other than 0 and is less than 1.

Meanwhile, when a second helper, which is a new helper, is registered, the electronic device 100 may identify at least one second category based on job application information of the second helper and identify an average rating of the second category. there is.

Accordingly, the electronic device 100 obtains a second reference price of another helper that matches the average rating of the second category, applies a preset reference weight to the second reference price, and calculates the subtracted second errand price. , Among the errands offered at prices for the second category, if suitable errands are identified whose price differs from the second errand price by less than a threshold value, a schedule of suitable errands may be provided to the terminal of the second helper.

Steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented in a software module executed by hardware, or implemented by a combination thereof. A software module may include random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any form of computer readable recording medium well known in the art to which the present invention pertains.

Also, different embodiments of the present invention may complement each other or be combined.

Components of the present invention may be implemented as a program (or application) to be executed in combination with a computer, which is hardware, and stored in a medium. Components of the present invention may be implemented as software programming or software elements; similarly, embodiments may include various algorithms implemented as data structures, processes, routines, or combinations of other programming constructs, such as C, C++ , Java (Java), assembler (assembler), may be implemented in a programming or scripting language such as Python (Python). Functional aspects may be implemented in an algorithm running on one or more processors.

Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains can be implemented in other specific forms without changing the technical spirit or essential features of the present invention. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

100: server
110: memory
111: first model
112: second model
120: communication department
130: processor
200: first terminal
301 to 303: helper terminal

Claims (8)

A control method of an electronic device providing a helper matching service according to an errand request, the method comprising:
receiving, by the electronic device, a service request from a customer's first terminal;
inputting, by the electronic device, information about the service request into a first model pre-learned to calculate an appropriate price for errand request;
identifying, by the electronic device, an errand price for the service request based on the output obtained from the first model;
selecting, by the electronic device, at least one helper based on the service request information and the errand price;
obtaining, by the electronic device, a schedule for the service request of each of the selected helpers based on the current location received from the second terminal of each of the selected helpers and the service request;
providing, by the electronic device, the schedule to a second terminal of each of the selected helpers;
identifying, by the electronic device, a third terminal of a helper who has accepted the errand price according to the schedule, among the second terminals; and
Matching, by the electronic device, the first terminal and the third terminal, and providing an alarm to the first terminal about completion of helper matching according to the errand price;
Receiving the service request,
providing a user interface (UI) for obtaining a selection for at least one of a plurality of categories pre-registered in the first terminal when receiving the service request;
obtaining a user command for selecting at least one of the plurality of categories from the first terminal;
providing a UI for performing a detailed input on the selected category to the first terminal;
obtaining a user command for detailed input from the first terminal;
identifying at least one keyword according to the detailed input; and
Generating request information based on the selected category and the keyword;
The step of obtaining the schedule is,
inputting the requested information together with the current location of the second terminal into a second model pre-learned to generate an errand schedule; and
Acquiring a schedule for the service request based on the output obtained from the first model and according to each of the second terminals;
The requested information is
A method for controlling an electronic device, comprising information on at least one of a required item, a place to perform, a desired time, and an expected required time. According to claim 1,
The first model,
Training data including at least one of errand category, gender of errand helper by category, gender of preferred helper by category, desired errand time, errand start time, errand end time, purchased item, execution place, and paid price A control method of an electronic device, characterized in that it is learned based on. delete delete According to claim 1,
The second model,
An electronic device characterized in that it is learned based on learning data including at least one of an errand category, a gender of an errand run helper for each category, an errand start time, an errand end time, a location of the helper when an errand is accepted, and a place where the errand is performed. control method. According to claim 1,
The control method of the electronic device,
identifying, by the electronic device, at least one first category capable of running errands based on a history of running errands for a first helper;
The electronic device sets the first errand price, which is the average errand price per hour of the first helper for each of the first categories, and the first rating, which is the average rating of the first helper for each of the first categories, respectively. identifying;
The electronic device determines a first reference price, which is an average price of errands run by other helpers having an errand performance history of the first category based on the first rating, but having a rating less than a threshold difference from the first rating. obtaining; and
When the difference between the first reference price and the first errand price exceeds a threshold ratio with respect to the first reference price, the electronic device provides the first reference price to the terminal of the first helper to request price adjustment. A control method of an electronic device further comprising; step. According to claim 6.
Obtaining the first reference price,
When the difference between the first reference price and the first errand price exceeds the threshold ratio with respect to the first reference price, and the first reference price exceeds the first errand price, the predetermined reference brokerage fee of the first helper Change the amount to an amount applied with an additional fee proportional to the difference between the first standard price and the first errand price,
If the difference between the first reference price and the first errand price exceeds the threshold ratio with respect to the first reference price, but the first reference price is less than the first errand price, a certain ratio is applied to the predetermined reference brokerage fee of the first helper. The control method of the electronic device, characterized in that the reward is paid to the first helper. According to claim 6,
The control method of the electronic device,
identifying, by the electronic device, at least one second category based on job application information of the second helper when a second helper, which is a new helper, is registered;
identifying, by the electronic device, an average score of the second category;
obtaining, by the electronic device, a second reference price of another helper that matches the average rating of the second category;
calculating, by the electronic device, a second errand price subtracted by applying a preset reference weight to the second reference price; and
Among the errands for which the price for the second category is offered, if a suitable errand price for which a price difference between the second errand price and the threshold value exists is identified, the electronic device transmits the suitable errand run service to the terminal of the second helper. A control method of an electronic device, characterized in that providing a schedule of.