KR20200000874A - Method of providing evaluation services - Google Patents

Abstract

Disclosed is an evaluation service providing method in an evaluation service providing system connected to client terminals on a network. According to an embodiment of the present invention, the evaluation service providing method comprises the steps of: receiving rating information corresponding to ratings of evaluation targets from client terminals; calculating an average value and a standard deviation of the rating corresponding to each of the client terminals based on the rating information; generating evaluation information corresponding to each of the evaluation targets based on the calculated standard deviation; and providing the evaluation information to the client terminals.

Description

How to Provide an Assessment Service {METHOD OF PROVIDING EVALUATION SERVICES}

The present invention relates to an evaluation service providing method for providing an evaluation service.

In recent years, with the development of communication networks and computers or smart phones, information exchange and collection are easily performed. In particular, users can search for and understand the targets they want for targets such as offline stores, online shopping malls, restaurants, books, and movies, evaluate the searched targets, or display information about the evaluated targets on their devices such as smartphones. Can be collected or stored at.

For example, if a user wants to evaluate a particular doll shop as an evaluation target, the user inputs a rating directly on the web page (for example, select a score, select a rating, etc.) to evaluate the specific doll shop. Can be. The user's evaluation may be provided to other users as evaluation information of a particular doll-pull shop through a statistical process.

In general, since the evaluation of the user is mostly dependent on subjective judgment, the number of evaluations of each user for a specific evaluation target is limited to one. However, the number of evaluations of the user is limited only to a specific evaluation target, and there is no restriction on the number of evaluations of other evaluation targets of a specific user. For example, a user may have good ratings for more than 1000 subjects, but some users only have good ratings for one or two subjects. Occasionally, a small number of users provide the majority of the evaluation information, so the reliability of the collected evaluation values is not high. There is a fear that the evaluation itself may be intentionally manipulated by a malicious user.

The present invention can provide an evaluation service providing method for providing a highly reliable evaluation service to an evaluation target.

According to an embodiment of the present invention, an evaluation service providing method in an evaluation service providing system connected to client terminals on a network may include receiving rating information corresponding to a rating of evaluation targets from the client terminals; Calculating an average value and a standard deviation of a rating corresponding to each of the client terminals based on the rating information; Generating evaluation information corresponding to each of the evaluation targets based on the calculated standard deviation; And providing the evaluation information to the client terminals.

According to an embodiment, the generating of the evaluation information corresponding to each of the evaluation targets based on the calculated average value and the standard deviation may include, for each of the client terminals, the evaluation targets based on the rating information, the average value, and the standard deviation. Calculating a deviation reference value corresponding to each; Extracting a deviation reference value of 0 or more from the deviation reference values corresponding to each of the evaluation targets; And generating evaluation information based on the extracted deviation reference value.

According to an embodiment, the generating of the evaluation information corresponding to each of the evaluation targets based on the calculated average value and the standard deviation may include, for each of the client terminals, the evaluation targets based on the rating information, the average value, and the standard deviation. Calculating a deviation reference value corresponding to each; Extracting a deviation reference value greater than 0 from the deviation reference values corresponding to each of the evaluation objects; And generating evaluation information based on the extracted deviation reference value.

According to an embodiment, the generating of the evaluation information based on the extracted deviation reference value may include calculating a ratio of the extracted deviation reference value based on the deviation reference value corresponding to each of the evaluation targets; And generating evaluation information corresponding to the calculated ratio.

According to one embodiment, generating the evaluation information based on the extracted deviation reference value, calculating the number of deviation reference value extracted based on the deviation reference value corresponding to each of the evaluation targets; And generating evaluation information corresponding to the calculated number.

According to various embodiments of the present disclosure, when the number of evaluations of the evaluation targets is unlimited, it is possible to prevent distortion of information on the Internet made by a small number of users evaluating a large number of evaluation targets. The reliability of the evaluation can be improved.

1 is a block diagram showing a system for providing an evaluation service according to an embodiment of the present invention.
2 is an exemplary view showing a screen window according to an embodiment of the present invention.
3 is a block diagram schematically illustrating a configuration of an evaluation service providing server according to an embodiment of the present invention.
4 is a flowchart illustrating a method of providing an evaluation service according to an embodiment of the present invention.
5 is an exemplary view showing rating information according to an embodiment of the present invention.
6 is an exemplary view showing an average value and a standard deviation according to an embodiment of the present invention.
7 is an exemplary view showing a deviation reference value according to an embodiment of the present invention.
8 is an exemplary view showing evaluation information according to an embodiment of the present invention.

Embodiments of the present invention are illustrated for the purpose of illustrating the technical idea of the present invention. The scope of the present invention is not limited to the embodiments set forth below or the detailed description of these embodiments.

All technical terms and scientific terms used in the present invention have the meaning generally understood to those skilled in the art to which the present invention belongs unless otherwise defined. All terms used in the present invention are selected for the purpose of more clearly describing the present invention and are not selected to limit the scope of the present invention.

As used herein, expressions such as "comprising", "including", "having", and the like, are open terms that imply the possibility of including other embodiments unless otherwise stated in the phrase or sentence in which the expression is included. It should be understood as (open-ended terms).

As used herein, the singular forms "a", "an" and "the" may include the plural meaning as well, unless the context clearly indicates otherwise.

Expressions such as "first" and "second" used in the present invention are used to distinguish a plurality of components from each other, and do not limit the order or importance of the components.

As used herein, the term “unit” refers to software or a hardware component such as a field-programmable gate array (FPGA) or an application specific integrated circuit (ASIC). However, "part" is not limited to hardware and software. The "unit" may be configured to be in an addressable storage medium, and may be configured to play one or more processors. Thus, as an example, “part” means components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, procedures, subroutines, It includes segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. Functions provided within a component and "part" may be combined into a smaller number of components and "parts" or separated into additional components and "parts".

As used herein, the expression "based on" is used to describe one or more factors that affect the behavior or behavior of a decision judgment, as described in the phrase or sentence in which the expression is included, the expression being determined It does not exclude additional factors that affect the conduct or behavior of judgment.

In the present invention, when a component is said to be "connected" or "connected" to another component, that component can be directly connected to or connected to another component, or a new different configuration It is to be understood that the connection may be or may be connected via an element.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the accompanying drawings, the same or corresponding components are given the same reference numerals. In addition, in the following description of the embodiments, it may be omitted to duplicate the same or corresponding components. However, even if the description of the component is omitted, it is not intended that such component is not included in any embodiment.

1 is a block diagram showing a system for providing an evaluation service according to an embodiment of the present invention. Referring to FIG. 1, the evaluation service providing system 100 may include client terminals 110_1 to 110_N, a network 120, and an evaluation service providing server 130.

The client terminals 110_1 to 110_N may communicate with the evaluation service providing server 130 on the network 120. The client terminals 110_1 to 110_N may receive rating information corresponding to ratings of evaluation targets from a user of each terminal and transmit the received rating information to the evaluation service providing server 130 through the network 120. .

In one embodiment, the subject of evaluation may include all subjects or shops for which the user can use or manage goods or services. For example, the evaluation target may include a doll room, an offline store, an online shopping mall, a restaurant, a book, a record, and the like.

According to an embodiment, the rating information may include user identification information for identifying a user who uses the client terminals 110_1 to 110_N, information about an evaluation target evaluated by the user, and a rating of the evaluation target. For example, the user identification information may include a user's name, identification number (ID), password, and the like. In addition, the information about the evaluation target may include a type, a name, and the like of the evaluation target. Here, the type of evaluation target may include a store or an object that a user can use, for example, a puppets, an offline store, an online shopping mall, a restaurant, a book, a record, and the like. In addition, the rating of the evaluation target is a score (for example, 0 to 10 points, etc.), a rating (for example, very good, good, normal, bad, very busy, etc.) that can represent the evaluation of the evaluation target. It may include.

In an embodiment, the client terminals 110_1 to 110_N may display a screen window on which a rating information can be input on a display unit (not shown). Therefore, the user may input information about the evaluation target and the rating of the evaluation target through an input unit (not shown). For example, the client terminals 110_1 to 110_N may display the screen window 200 as shown in FIG. 2 on the display unit. In FIG. 2, the screen window 200 includes a display window 210 for displaying user identification information, a first input window 220 for inputting information on an evaluation target, and a rating for inputting a rating of the evaluation target. 2 may include an input window 230.

According to an embodiment, the client terminals 110_1 to 110_N may include at least one of a fixed terminal and a mobile terminal capable of implementing a communication environment including a web / wap browser capable of accessing the network 120. For example, fixed terminals include desktop PCs, and mobile terminals include smartphones, hand-held PCs, tablet PCs, notebook computers, PDAs, portable Internet terminals, broadcast receivers, DMB phones, and the like. It should also be noted that barter services are available regardless of their type, as long as they are available over a wireless network connection.

The network 120 may include both a wired network and a wireless network. For example, the wired network may include the Internet, a dedicated line, and the like, and the wireless network may include the wireless Internet, a mobile communication network, a satellite communication network, and the like. In one embodiment, the network 120 is connected to the communication line between the client terminal (110_1 to 110_N) and the evaluation service providing server 130 is established so that data communication between each other.

In an embodiment, the network 120 may refer to a connection structure capable of exchanging information between the client terminals 110_1 to 110_N and the evaluation service providing server 130. For example, the network 120 may include a 3rd generation partnership project (3GPP) network, a long term evolution (LTE) network, a world interoperability for microwave access (WIMAX) network, the Internet, a local area network, and a wireless LAN. It may include, but is not limited to, a wireless local area network (WAN), a wide area network (WAN), a phase broadcast network, an analog broadcast network, and the like.

The evaluation service providing server 130 may receive rating information from the client terminals 110_1 to 110_N and generate evaluation information about evaluation targets based on the received rating information. In addition, the evaluation service providing server 130 may provide evaluation information to the client terminals 110_1 to 110_N through the network 120.

3 is a block diagram schematically illustrating a configuration of an evaluation service providing server according to an exemplary embodiment of the present invention. Referring to FIG. 3, the evaluation service providing server 130 may include a communication unit 310, a storage unit 320, and a processor 330.

The communication unit 310 may perform data transmission / reception with the client terminals 110_1 to 110_N through the network 120. In an embodiment, the communication unit 310 may receive rating information from the client terminals 110_1 to 110_N and transmit the received rating information to the processor 330. In addition, the communication unit 310 may receive evaluation information from the processor 330, and transmit the received evaluation information to the client terminals 110_1 to 110_N. Evaluation information will be described in detail below.

The storage unit 320 may store identification information (hereinafter, referred to as “user identification information”) of a user who uses each terminal of the client terminals 110_1 to 110_N. For example, the user identification information may include an identification number, a password, a name, an address, a phone number, an email address, and the like of the user.

In addition, the storage 320 may store the rating information received through the communication unit 310. In an embodiment, the storage 320 may map the rating information to user identification information and store the mapping information. For example, the storage 320 maps and stores the rating information provided from the client terminal 110_1 to user identification information corresponding to the user of the client terminal 110_1, and stores the rating information provided from the client terminal 110_2. The controller 110 may map and store user identification information corresponding to the user of the terminal 110_2, and store rating information provided from the client terminal 110_N to user identification information corresponding to the user of the client terminal 110_N.

In addition, the storage 320 may store evaluation information generated by the processor 330. In an embodiment, the storage 320 may store the evaluation information for each user identification information and / or for each evaluation target. Evaluation information will be described in detail below.

The processor 330 may generate evaluation information about evaluation targets based on the rating information received from the client terminals 110_1 to 110_N through the communication unit 310. In one embodiment, the processor 330 calculates an average value and standard deviation of the rating for the rating information of the same user in the rating information received from the client terminals (110_1 to 110_N), based on the calculated average value and standard deviation Evaluation information about the evaluation targets may be generated.

4 is a flowchart illustrating a method of providing evaluation information according to an embodiment of the present invention. Although process steps, method steps, algorithms, and the like have been described in a sequential order in the flowchart shown in FIG. 4, such processes, methods, and algorithms may be configured to operate in any suitable order. In other words, the steps of the processes, methods and algorithms described in various embodiments of the invention need not be performed in the order described in the invention. In addition, although some steps are described as being performed asynchronously, in some embodiments these some steps may be performed simultaneously. Moreover, illustration of the process by depiction in the figures does not mean that the illustrated process excludes other changes and modifications thereto, and any of the illustrated process or steps thereof is one of the various embodiments of the present disclosure. It is not meant to be essential to more than one, nor does it mean that the illustrated process is preferred.

Referring to FIG. 4, in operation S402, the evaluation service providing server 130 may receive rating information from the client terminals 110_1 to 110_N. For example, the communication unit 310 of the evaluation service providing server 130 may receive rating information from the client terminals 110_1 to 110_N connected on the network 120.

In operation S404, the evaluation service providing server 130 may store the received rating information. In an embodiment, the processor 330 of the evaluation service providing server 130 may map the rating information to the user identification information and store the rating information in the storage 320.

For example, as shown in FIG. 5, the processor 330 may evaluate evaluation objects (“first evaluation object”, “second evaluation object” and third evaluation object ”) received from the client terminal 110_1. Maps and stores the rating information ("10 points", "10 points", "10 points") to user identification information (hereinafter, referred to as "first user identification information") corresponding to the user of the client terminal 110_1. The processor 330 may also store the evaluation objects (“first evaluation object”, “second evaluation object”, and third evaluation object ”) received from the client terminal 110_2. The storage unit maps the rating information ("8 points", "6 points", "10 points") to user identification information (hereinafter referred to as "second user identification information") corresponding to the user of the client terminal 110_2. At 320. In addition, the processor 330 may include rating information (“2 points”, “) of evaluation objects (“ first evaluation object ”,“ second evaluation object ”, and third evaluation object”) received from the client terminal 110_3. 3 points "and" 10 points "may be mapped to user identification information (hereinafter referred to as" third user identification information ") corresponding to the user of the client terminal 110_3 and stored in the storage 320. The processor 330 may include rating information ("seven points", "7" of evaluation objects ("first evaluation object", "second evaluation object", and third evaluation object ") received from the client terminal 110_N. Dot ”and“ 10 points ”may be mapped to user identification information (hereinafter, referred to as“ N th user identification information ”) corresponding to the user of the client terminal 110_N and stored in the storage unit 320.

In operation S406, the evaluation service providing server 130 may calculate an average value and standard deviation of the ratings for the evaluation targets based on the rating information. In an embodiment, the processor 330 of the evaluation service providing server 130 may calculate an average value and a standard deviation of ratings for evaluation targets for each user based on the rating information.

For example, as shown in FIG. 6, the processor 330 is based on the rating information ("10 points", "10 points", "10 points") corresponding to the first user identification information (hereinafter, referred to as "10 points"). , A first average value = 10. The processor 330 may include rating information ("10 points", "10 points", "10 points") and a first average value ( The standard deviation (hereinafter, referred to as "first standard deviation") (first standard deviation = 0) with respect to the first user identification information may be calculated based on "10". 2 The average value of the rating (hereinafter referred to as "second average value") (second average value = 8) based on the rating information ("8 points", "6 points", "10 points") corresponding to the user identification information. The processor 330 may calculate a standard deviation of the second user identification information based on the rating information ("8 points", "6 points", "10 points") and the second average value ("8"). , "Called the second standard deviation" (second standard deviation = √ ((8-8) ² + (6-6) ² + (10-8) ² ) /3=1.633) can do. Further, the processor 330 is based on the rating information ("2 points", "3 points", "10 points") corresponding to the third user identification information (hereinafter referred to as "third average value") (Third average value = 5) can be calculated. Processor 330 is based on the rating information ("2 points", 36 points "," 10 points ") and the third average value (" 5 ") standard deviation for the third user identification information (hereinafter," third standard deviation "). (The third standard deviation = 3.559) can be calculated. Further, the processor 330 is based on the rating information ("seven points", "seven points", "10 points") corresponding to the N-th user identification information (hereinafter referred to as "N-th average value") ( N-th average value = 8. The processor 330 may identify the N-th user based on the rating information ("seven points", "seven points", "ten points") and the N-th average value ("8"). A standard deviation (hereinafter referred to as "fourth standard deviation") with respect to information (fourth standard deviation = 1.414) can be calculated.

In operation S408, the evaluation service providing server 130 may calculate a deviation reference value for the evaluation targets based on the rating, average value, and standard deviation of the evaluation targets for each user. In one embodiment, the deviation reference value may be calculated based on Equation 1 below.

For example, as illustrated in FIG. 7, the processor 330 may include rating information (“10 points”) corresponding to the first evaluation object, a first average value “10”, and the like for the first user identification information. The deviation reference value "0" corresponding to the first evaluation target may be calculated based on the first standard deviation "0". The processor 330 may calculate a deviation reference value "0" corresponding to each of the second evaluation target and the third evaluation target, for the first user identification information. The processor 330 may calculate, for each of the second user identification information, the third user identification information, and the Nth user identification information, a deviation reference value corresponding to each of the first evaluation object, the second evaluation object, and the third evaluation object. Can be.

In operation S410, the evaluation service providing server 130 may generate evaluation information about the evaluation targets based on the deviation reference value for the evaluation targets. In an embodiment, the processor 330 of the evaluation service providing server 130 may extract a deviation reference value equal to or greater than an average value for each evaluation object and generate evaluation information based on the extracted deviation reference value.

For example, as shown in FIG. 8, the processor 330 has a mean value among the deviation reference values (“0”, “0”, “−0.8”, “−0.7”) corresponding to the first evaluation target. Extract a deviation reference value ("0", "0") that is above (that is, the deviation reference value is "0" or more), and calculate the ratio of the extracted deviation reference value ("0", "0"), Evaluation information (hereinafter referred to as "first evaluation information") corresponding to the calculated ratio (first evaluation information = 2/4 = "50%") may be generated. In addition, the processor 330 has a rating greater than or equal to the average value (that is, the deviation reference value is “0”, “−1.2”, “−0.6”, “−0.7”) corresponding to the second evaluation target. A deviation reference value ("0") of 0 "or more) is extracted, a ratio of the extracted deviation reference value (" 0 ") is calculated, and evaluation information (hereinafter referred to as" second evaluation information ") corresponding to the calculated ratio (Second evaluation information = " 25% "). In addition, the processor 330 has a rating greater than or equal to the average value (that is, the deviation reference value is “0”, “+1.2”, “+1.4”, or “+1.4”) corresponding to the third evaluation target. Deviation reference values ("0", "+1.2", "+1.4", "+1.4"), which are 0 "or more), are extracted, and the extracted deviation reference values (" 0 "," +1.2 "," +1.4 ") are extracted. "," +1.4 "may be calculated, and evaluation information (hereinafter referred to as" third evaluation information ") (third evaluation information =" 100% ") corresponding to the calculated ratio may be generated.

In the above example, the ratio of the standard deviation that is equal to or greater than the average value for each evaluation target is generated as the evaluation information, but the present invention is not limited thereto. In another example, a ratio of standard deviations exceeding an average value for each evaluation target may be generated as evaluation information. In another example, the number of standard deviations greater than (or exceeding) the average value may be generated as evaluation information.

In operation S412, the evaluation service providing server 130 may store the generated evaluation information. For example, the processor 330 of the evaluation service providing server 130 may store the generated evaluation information in the storage 320.

In operation S414, the evaluation service providing server 130 may determine whether request information for requesting evaluation information is received from at least one client terminal among the client terminals 110_1 to 110_N. For example, the processor 330 of the evaluation service providing server 130 may evaluate evaluation information about at least one evaluation target from among at least one client terminal among the client terminals 110_1 to 110_N connected on the network 120. It may be determined whether the request information for requesting the reception is received.

If it is determined in step S414 that request information for requesting evaluation information is received from at least one client terminal of the client terminals 110_1 to 110_N, in step S416, the evaluation service providing server 130 evaluates the evaluation information corresponding to the request information. Can be extracted. For example, the processor 330 of the evaluation service providing server 130 may access the storage 320 to extract evaluation information corresponding to the request information.

In operation S418, the evaluation service providing server 130 may transmit the extracted evaluation information to the corresponding client terminal. For example, the processor 330 of the evaluation service providing server 130 may transmit the extracted evaluation information to the corresponding client terminal through the communication unit 310.

Optionally, the evaluation service providing server 130 may prevent manipulation of the rating information added by the user. For example, the evaluation service providing server 130 may give a specific user a high rating for all the evaluation targets, a sudden increase in the rating of the specific evaluation target for no particular reason, or a large number of ratings for the same evaluation target at the same time. In this case, the evaluation information may be regenerated by weighting the evaluation information for the corresponding evaluation target.

Although the method has been described through specific embodiments, the method may also be embodied as computer readable code on a computer readable recording medium. Computer-readable recording media include all kinds of recording devices that store data that can be read by a computer system. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disks, optical data storage devices, and the like. The computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion. In addition, functional programs, codes, and code segments for implementing the above embodiments can be easily inferred by programmers in the art to which the present invention belongs.

Although the technical spirit of the present invention has been described by the embodiments shown in the embodiments and the accompanying drawings, the technical spirit and scope of the present invention can be understood by those skilled in the art. It will be appreciated that various substitutions, modifications, and alterations can be made in the scope. Also, such substitutions, modifications and variations are intended to be included within the scope of the appended claims.

100: evaluation service providing system 110_1 to 110_N: client terminal
120: network 130: evaluation service providing server
200: screen window 210: display window
220: first input window 230: second input window
310: communication unit 320: storage unit
330: processor

Claims (5)

An evaluation service providing method in an evaluation service providing system connected to client terminals on a network,
Receiving rating information corresponding to ratings of evaluation targets from the client terminals;
Calculating an average value and a standard deviation of a rating corresponding to each of the client terminals based on the rating information;
Generating evaluation information corresponding to each of the evaluation objects based on the calculated average value and standard deviation; And
Providing the evaluation information to the client terminals
Evaluation service providing method comprising a.
The method of claim 1, wherein the generating of the evaluation information corresponding to each of the evaluation targets is based on the calculated average value and standard deviation.
Calculating, for each of the client terminals, a deviation reference value corresponding to each of the evaluation targets based on the rating information, the average value, and the standard deviation;
Extracting a deviation reference value of 0 or more from the deviation reference values corresponding to each of the evaluation targets; And
Generating the evaluation information based on the extracted deviation reference value
Evaluation service providing method comprising a.
The method of claim 1, wherein the generating of the evaluation information corresponding to each of the evaluation targets is based on the calculated average value and standard deviation.
Calculating, for each of the client terminals, a deviation reference value corresponding to each of the evaluation targets based on the rating information, the average value, and the standard deviation;
Extracting a deviation reference value greater than 0 from the deviation reference values corresponding to each of the evaluation targets; And
Generating the evaluation information based on the extracted deviation reference value
Evaluation service providing method comprising a.
According to claim 2 or 3, The step of generating the evaluation information based on the extracted deviation reference value,
Calculating a ratio of the extracted deviation reference value based on the deviation reference value corresponding to each of the evaluation objects; And
Generating the evaluation information corresponding to the calculated ratio
Evaluation service providing method comprising a.
According to claim 2 or 3, The step of generating the evaluation information based on the extracted deviation reference value,
Calculating the number of the extracted deviation reference values based on the deviation reference values corresponding to each of the evaluation targets; And
Generating the evaluation information corresponding to the calculated number
Evaluation service providing method comprising a.

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