KR20210115685A - Method and system for matching professional based on location - Google Patents

Abstract

According to an embodiment of the present invention, the present invention relates to a method for providing recommendations and matching services for experts by an expert matching server. Provided is a method of matching the experts, which includes the steps of: (a) receiving location information from a user terminal; (b) providing the user terminal with information on the experts who exist within a preset distance based on a location or can arrive at a user's location within a preset time; and (c) providing information on results of past work performed by the experts to the user terminal, arranging and providing information about the work results performed near the user's location. Therefore, from a user's point of view, it is possible to rationally select the expert who can provide a quality service in his/her location.

Description

Location-based expert matching method and system

The present invention relates to a location-based expert matching method and system, and more particularly, to a method and system for providing an expert's work portfolio based on a user's location and enabling optimal expert matching.

In general, an expert means a person with specialized knowledge and ability who is well versed in technology, the arts, or a particular profession. Non-experts, who are ordinary people unrelated to the relevant field, do not have or lack the ability to directly perform related tasks, so they can entrust tasks to experts and pay corresponding remuneration.

Conventionally, non-experts have been introduced to experts through human networks, or have chosen a method of contacting experts directly through contacts of experts that are voluntarily or involuntarily disclosed. However, such a method had no choice but to limit the search for suitable experts due to time and regional limitations.

In order to solve this problem, recently, services capable of overcoming the above-described temporal and regional limitations in searching for an expert using an online network such as the Internet have been developed. For example, an expert matching service provider may receive an expert matching request from a client, search for an expert suitable for the received request on an online network it has built, and then provide the found expert information to the client.

However, since the existing expert matching service only provides general information and advertisement information prepared by the expert to the consumer, the consumer has no choice but to select an expert based on the scattered advertisement information. Cases of dissatisfaction are increasing.

In addition, since all experts provide only the same advertisement information and have no choice but to appeal to consumers through this, the possibility of choosing the cheapest expert from the consumer's point of view increases, and this is called the downward leveling of profits for the entire professional industry. It has had an adverse effect, and this has become a vicious cycle that leads to deterioration of service quality.

SUMMARY OF THE INVENTION The present invention is intended to solve the problems of the prior art.

The present invention matches the user and the expert based on the user's location, but preferentially shows the result of each expert performing work near the user's location, so that the user can make rational decisions related to expert selection. for that purpose

Another object of the present invention is to show the level information of the expert, the current location information, etc. to the user, so that the user can check the basic data from which the expert can be selected.

Another object of the present invention is to provide a system that can recommend an optimal expert to the user by comprehensively determining the current distance between the user and the expert, the portfolio information around the expert's location, the expert's level, the user's review score, etc. will provide

Objects of the present invention are not limited to the objects mentioned above, and other objects not mentioned will be clearly understood from the description below.

According to an embodiment of the present invention for achieving the above object, there is provided a method for an expert matching server to provide a recommendation and matching service for an expert, the method comprising: (a) receiving location information from a user terminal; (b) providing the user terminal with information on experts who exist within a preset distance based on the location or can arrive at the user's location within a preset time; and (c) providing information on the results of past work performed by the experts to the user terminal, and arranging and providing in the order of work results performed near the user's location, an expert matching method is provided.

The step (c) may include performing the sorting based on location information extracted from metadata of the past work performance results.

The step (b) may include providing the level information differentially assigned according to the equipment, major, or education completion of the experts.

The expert matching method is calculated according to the distance between the user's location and the expert's location, the number of tasks performed by the expert within a preset distance based on the user's location, the expert's level, and the user's review score for the expert The method may further include providing expert recommendation information to the user terminal in order of highest score.

Meanwhile, according to another embodiment of the present invention, the user terminal receives location information from the user terminal, and provides information on experts who exist within a preset distance based on the location or arrive at the user's location within a preset time to the user terminal. An expert matching system is provided, which includes an expert matching unit that provides information on the results of past work of the experts to the user terminal, and arranges them in order of work results performed near the user's location. .

According to an embodiment of the present invention, the user and the expert are matched based on the user's location, but the result of each expert performing work near the user's location is preferentially provided, thereby providing a high-quality service from the user's point of view You will be able to reasonably select experts who can provide

According to an embodiment of the present invention, the user can check the expert's level information, current location information, and the like, and use it as basic data for expert selection.

According to an embodiment of the present invention, it is possible to recommend an optimal expert to the user by comprehensively determining the current distance between the user and the expert, portfolio information around the expert's corresponding location, the expert's level, the user's review score, and the like.

1 is a diagram schematically showing the configuration of a location-based expert matching system according to an embodiment of the present invention.
2 is a block diagram showing the configuration of an expert matching server according to an embodiment of the present invention.
3 to 7 are diagrams illustrating an example of a screen provided through an expert matching application according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0010] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0010] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0023] Reference is made to the accompanying drawings, which show by way of illustration specific embodiments in which the present invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different but need not be mutually exclusive. For example, certain shapes, structures, and characteristics described herein with respect to one embodiment may be embodied in other embodiments without departing from the spirit and scope of the invention. In addition, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the present invention. Accordingly, the detailed description set forth below is not intended to be taken in a limiting sense, and the scope of the invention, if properly described, is limited only by the appended claims, along with all scope equivalents to those claimed. Like reference numerals in the drawings refer to the same or similar functions throughout the various aspects.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings in order to enable those of ordinary skill in the art to easily practice the present invention.

1 is a diagram schematically showing the configuration of a location-based expert matching system according to an embodiment of the present invention.

Referring to FIG. 1 , a system according to an embodiment of the present invention may include a plurality of user terminals 100 , a plurality of expert terminals 200 , and an expert matching server 300 .

The user terminal 100 , the expert terminal 200 , and the expert matching server 300 may include a communication network, for example, a mobile communication network, a local area network (LAN), a metropolitan area network (MAN), and a wide area network. (WAN: Wide Area Network), World Wide Web (WWW: World Wide Web), wireless communication network (WiFi: Wireless Fidelity) can communicate with each other.

The user terminal 100 and the expert terminal 200 have a calculation function and may be implemented in any form as long as they are devices capable of communicating with the outside. For example, it may be implemented as a smartphone, a tablet PC, a desktop, a laptop notebook, a PDA, etc., but is not limited thereto.

In addition, the user terminal 100 and the expert terminal 200 receive the service provided by the expert matching server 300 according to an embodiment of the present invention, and input information and request information of the user or expert to the expert matching server An expert matching application (hereinafter referred to as an 'application') for transmission to the 300 may be installed.

Such an application may be downloaded from the expert matching server 300 or another app store server (not shown) and installed in the user terminal 100 and the expert terminal 200 .

Meanwhile, the user terminal 100 and the expert terminal 200 may replace each other's functions. That is, the user may be an expert in some cases, and conversely, the expert described below may be the user in some cases.

The user terminal 100 according to an embodiment of the present invention transmits membership registration information for the expert matching service, desired expert field information, selection information on important factors to consider when selecting an expert, etc. to the expert matching server 300 . carry out

In addition, the user terminal 100 may be equipped with a location detection sensor, for example, a GPS sensor, and the current location information of the user terminal 100 may be transmitted to the expert matching server 300 .

The user terminal 100 may display the expert list transmitted from the expert matching server 200 based on the location, and the user may select a specific expert. The corresponding expert selection information may be transmitted to the expert terminal 200 of the selected expert through the expert matching server 300 .

The expert terminal 200 according to an embodiment may transmit expert member subscription information, activity field information, expert history information, and past portfolio (past performance results) information for the expert matching server 300 to the expert matching server 300 . Portfolio information is the work results provided to users by each expert through the expert matching service provided by the expert matching server 200, and when the result is provided from the expert terminal 200 to the user terminal 100 through the application , even if the expert does not directly upload the corresponding result to the expert matching server 300 , the expert matching server 300 may automatically register the corresponding result as portfolio information of the corresponding expert.

In addition, since the expert terminal 200 is also equipped with a position detection sensor, the corresponding position information may be transmitted to the expert matching server 300 .

The expert matching server 300 according to an embodiment receives the expert matching request from the user terminal 100, and based on the desired field and location information included in the request information, information on the expert located in the vicinity of the corresponding location in the field may be provided to the user terminal 100 . To this end, the expert matching server 300 may receive information on the expert matching intention (information on whether work can be provided) and location information in real time or periodically from each expert terminal 200 .

In addition, the expert matching server 300 according to an embodiment of the present invention provides the user terminal 100 with information on the job level of each expert and the job portfolio information provided around the current location of the user terminal 100 . can

Through this, each user may use an objective indicator as a criterion in selecting an expert, or may use the result of a task performed by an expert near his/her location as a criterion.

On the other hand, the expert matching server 300 may provide a customized expert matching service based on the level given based on the expert's history, the number of the corresponding expert portfolio near the current user's location, and the user's review score for past business processing. have.

These functions will be described in detail below.

2 is a block diagram showing the configuration of an expert matching server according to an embodiment of the present invention.

Referring to FIG. 2 , the expert matching server 300 may include a user information storage unit 310 , an expert information storage unit 320 , an expert matching unit 330 , and a post management unit 340 .

The user information storage unit 310 , the expert information storage unit 320 , the expert matching unit 330 , and the post management unit 340 may be program modules or hardware capable of communicating with an external device. Such program modules or hardware may be included in the expert matching server 300 or other devices capable of communicating therewith in the form of operating systems, application program modules, and other program modules, and may be physically stored on various known storage devices. have. Meanwhile, these program modules or hardware include, but are not limited to, routines, subroutines, programs, objects, components, data structures, etc. that perform specific tasks to be described later or execute specific abstract data types according to the present invention.

The user information storage unit 310 according to an embodiment stores identification information, personal information, and field of interest (specialist field) information of users subscribed to the service provided by the expert matching server 300 .

The expert information storage unit 320 according to an embodiment performs a function of storing identification information of experts subscribed to this service, history information of experts, past matching information of experts, information on results of past work of experts, and the like. For example, when the expert is a photographer, the work results previously provided by the expert may be photos. Metadata will be stored together with the photos, and the metadata may include information such as the date and time the photo was taken, a location, and the like.

The expert matching unit 330 according to an embodiment has a function of receiving desired expert field information and location information from the user terminal 100 , providing information on currently matching experts, and matching the user with the expert. carry out

For example, when receiving location information from the user terminal 100, as shown in FIG. 3, current location information of experts currently located around the corresponding location, The time taken and the level of each expert may be transmitted to the user terminal 100 together.

To this end, information on a current service provider, a movable distance, a means of movement, and the like may be received in advance from the expert terminal 300 .

The current location of the experts may be displayed on the map as shown in FIG. 3 , and the time taken to move to the current location of the user may be automatically calculated and provided based on the distance. Meanwhile, even if the location of the user and the expert is far away, when the expert moves through means such as a vehicle, the time taken for moving may be estimated by reflecting the factor and transmitted to the user terminal 100 . As an expert capable of providing a service, experts located within a preset distance based on the user's current location may be filtered and provided to the user terminal 100, and even if it is a long distance, experts located within a preset time using transportation means These may be filtered and provided to the user terminal 100 .

The preset distance and preset time may be preset values in the expert matching server 300, but may also be a distance or time set by each user and transmitted to the expert matching server 300 through the user terminal 100. .

On the other hand, the level of each expert may be assigned according to a predetermined standard. For example, if each expert has a certain level of equipment or more necessary for the corresponding field of activity, one level may be given (for example, If you are a professional photographer, level 1 is given if you have a telephoto lens of 200mm or more), and if you have a degree related to the relevant field of activity, level 2 can be granted, and you have completed the prescribed education related to the field of activity. In one case, level 3 can be given.

In addition, according to an embodiment of the present invention, a score for each expert is calculated by comprehensively judging the level of equipment required in each activity field, academic background information, education completion information, and users' late scores, and a level is assigned accordingly. You may.

Specifically, the score for each expert may be calculated as follows.

[Equation 1]

In the above formula, A is a score differentially given depending on the availability of equipment, B is a score given differentially according to the professional's graduation school level, and the degree of relevance to the relevant specialization of the major, and C is the main institution of the completed education Scores are given differentially according to the level of education and the number of completed trainings, and D is a score given differentially according to the user's late scores. α, β, γ, and δ are weights applied to each score, and among them, δ may be assigned a higher value as the number of users who gave a score to the corresponding expert increases.

Meanwhile, according to an embodiment of the present invention, selection information on a specific expert from the expert list provided in the form shown in FIG. 3 is received from the user terminal 100, and the result of the expert's past work, that is, , the portfolio may be provided to the user terminal 100 .

4 is an example of an expert's portfolio providing screen according to an embodiment of the present invention.

For example, if the expert is a photographer, past work results may be pictures, and metadata included in the picture may include location information where the picture was taken. Based on the location information received from 100 ), the portfolio of experts may be rearranged in the order of photos taken at a location close to the corresponding location and provided to the user terminal 100 . If there are a plurality of photos taken at the same location, they may be provided in an order of recently taken photos.

In addition, even if the expert is not a photographer, the work results of the expert will exist, and information about the place where the job was performed from the expert terminal 200 (location information directly input by the expert or sensed by the expert terminal 100 ) information) may be received, so that each expert's portfolio may be rearranged based on the current location of the user terminal 100 .

When providing the expert's portfolio, as shown in FIG. 4 , the expert's sales-related information (price information, etc.), the number of users' usage information, review information, and the like may be provided together.

According to an embodiment of the present invention, the information on the past job performance of the expert is not provided to all users in the same order, but job information performed at a location close to the location according to the user's location is preferentially provided, so that the user's position In , it is possible to identify experts who have performed a lot of work at their location or experts who have performed high-quality work at their location, and it can be used for decision making in selecting experts.

Meanwhile, according to another embodiment of the present invention, a specific expert may be recommended based on the user's location information and the user's expert selection criterion information.

For example, experts may be recommended in the order of the highest score calculated by the following equation.

[Equation 2]

In the above formula, D is the distance between the user's location and the expert's location, F is the number of cases that the expert performed within a predetermined distance based on the user's location, L is a score differentially assigned according to the level of the expert, D is It is the user's review score, and ε, ρ, μ, and δ are weights. The weight may be set differently according to the field in which the user desires a service, or may be set differently according to a factor that the user considers important.

For example, if the service field desired by the user is delivery or transportation, the distance between the user and the expert will be the most important, so the ε value can be set to the highest value. Since there is a high probability that a professional who took a lot of pictures at the user's current location will provide a high-quality service, the ρ value can be set the highest.

In addition, the value of δ may be assigned to a higher value as the number of users who gave a score to the corresponding expert increases.

The expert matching unit 330 is a specific expert from the user terminal 100 based on expert information provided in the form shown in FIGS. 3 and 4 or expert information provided in the order of scores given according to Equation 2 above. It is possible to receive selection information for . In this case, the selected expert and user are matched in the relationship between the service provider and the consumer, respectively.

As shown in FIG. 5 , the user terminal 100 may be provided with a payment page for using the service of the expert, and upon receiving a payment request from the user terminal 100, it works in conjunction with the payment system You can proceed with payment.

When the payment is completed, as shown in FIG. 6 , a chatting window for exchanging messages between the user and the expert may be provided.

The post management unit 340 according to an embodiment of the present invention receives the result of the task performed by the expert from the expert terminal 200, uploads it to the application as shown in FIG. At least some of them can be downloaded to the user terminal 100 .

For example, if the expert is a photographer, you can check all the photos taken by the photographer, and you can download some (ex. 2) by default in the range of the pre-paid amount, and download additional photos. You may be informed that you need to pay an additional fee for this.

In addition, as an additional service, for some, we can guide you to request a professional finishing work (eg, retouch work on photos) for free.

The post management unit 340 may provide the user terminal 100 with an interface that enables the transmission of the work result in this way and enables the user to write a review and rating for the corresponding service. The review and score of the expert received from the user terminal 100 may be stored together as information on the expert in the expert information storage unit 320 .

According to an embodiment of the present invention, by providing information on a list of experts available for service based on the user's location along with a given level, and preferentially showing the work results performed by the expert in the vicinity of the user's location, the user's position can reasonably select experts who can receive high-quality services in real time based on objective and subjective criteria.

The above description of the present invention is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention.

100: user terminal
200: expert terminal
300: expert matching server
310: user information storage unit
320: expert information storage unit
330: expert matching unit
340: after-sales department

Claims (5)

A method for an expert matching server to provide a recommendation and matching service for an expert,
(a) receiving location information from a user terminal;
(b) providing the user terminal with information on experts who exist within a preset distance based on the location or can arrive at the user's location within a preset time; and
(c) providing information on the results of past work performed by the experts to the user terminal, and providing the information in an order of work results performed near the user's location, and providing the expert matching method. According to claim 1,
The step (c) is,
Based on the location information extracted from the metadata of the past work performance results, comprising the step of performing the sorting, expert matching method. According to claim 1,
Step (b) is,
The expert matching method comprising the step of providing the level information differentially assigned according to the equipment, majors, or education completion of the experts together. 4. The method of claim 3,
The score calculated according to the distance between the user's location and the expert's location, the number of tasks performed by the expert within a preset distance based on the user's location, the expert's level, and the user's review score for the expert is in the order of highest. Further comprising the step of providing recommended information to the user terminal, expert matching method. Receive location information from the user terminal,
Providing the user terminal with information on experts who exist within a preset distance based on the location or who can arrive to the user's location within a preset time,
An expert matching system that provides information on results of past work of the experts to the user terminal, and includes an expert matching unit that sorts and provides results of work performed at a location close to the user's location.

Images