KR102336878B1 - Evaluation information providing system and evaluation information providing method - Google Patents

Abstract

The present invention relates to an evaluation information providing system and an evaluation information providing method. In a system comprising an evaluation information management computer that provides evaluation result information on at least one decision-making target of consumers, the present invention proposes the evaluation information providing system and the method using the same, in which the evaluation information management computer includes at least one hardware processor and a memory for storing a program, and the at least one hardware processor controls the execution of the program stored in the memory. The evaluation information providing system receives at least one piece of recommendation information about a decision-making target provided by at least one recommender, receives evaluation information on the at least one piece of recommendation information provided by evaluators made up of non-related persons who are not related to the decision-making target, and generates evaluation result information on the decision-making target according to a criterion set based on the at least one evaluation information to provide the evaluation result information to consumers. Accordingly, the present invention can help consumers make decisions.

Description

Evaluation information providing system and evaluation information providing method

The present invention relates to a system for providing evaluation information and a method for providing evaluation information. More specifically, in matters requiring decision-making, such as purchase of products or services, participation in various social issues, or investment in various investment targets, those interested in the decision-making target must have their own professional knowledge or experience. based on the recommendation information, and non-related persons who have no personal or physical relationship with the decision-making target participate to evaluate the recommendation information of the interested persons, and based on the evaluation information of the non-related persons, the decision is made based on a predetermined standard. It relates to a system and method for providing evaluation information on a decision target.

There are many cases in which decisions have to be made in real life. In particular, in most cases, the same or similar plural or plural proposals exist, and it is not easy to make a decision to select one or one of them. The reason is the lack of objective information about multiple eyes or multiple decision-making targets. As a way to resolve such difficulties in decision-making, for example, there are cases where a third party provides product reviews or user reviews to help the buyer in decision-making. However, there is a problem in that reliability cannot be secured because product reviews cannot guarantee objectivity and are conducted by reviewers who lack professional knowledge about the product.

In order to solve the problems of the prior art, the present applicant has applied for a patent and has registered a patent in the Republic of Korea Patent No. 10-2130804 (registration date: June 29, 2020) 'customized based on the evaluation of the proposal through the compensation mechanism A method of providing consulting is disclosed.

The patented invention is a customer-customized consulting method provided by a customer-customized consulting apparatus operated by at least one processor. and exposing to a user interface connected through a communication network, receiving respective evaluation scores for the proposals from the plurality of participant terminals, and determining a plurality of proposals in which the number of participant terminals that have registered evaluation scores for each proposal is greater than or equal to a threshold number and arranging the determined plurality of proposals in descending order based on the average score of the evaluation scores of each proposal and providing them to a customer terminal or the plurality of participant terminals, wherein the average score excludes preset manipulation data The variable is renewed based on the variable, and the manipulated data exclusion variable excludes evaluation scores that deviate from the upper and lower predetermined ratios based on the average score, and uses the evaluation scores within the upper and lower predetermined ratios to calculate the average score again. It is the invention of a customer-specific consulting method, which is a set value.

In the patented invention, a plurality of experts provide a suggestion in response to a customer's request, a plurality of participants give a score for the suggestion of the plurality of experts, and the average value of the scores of the participants is averaged to provide information to the customer in the order of the average value. An invention that provides

However, since there are no restrictions on the participants who evaluate and give points to the proposals of experts in the above patented invention, it is impossible to prevent those directly or indirectly related to the proposal or evaluation target from participating in the evaluation as participants, As a result, it is impossible to provide objective and reliable consulting to customers.

Therefore, in matters requiring decision-making, such as purchasing products or services, participating in various social issues, or investing in various investment targets, those interested in the decision-making target can use their professional knowledge or experience based on their own professional knowledge or experience. The recommendation information is provided, and non-related persons who are not related to the decision-making target in person or material participate to evaluate the recommendation information of the interested persons, and the decision-making target according to a predetermined standard based on the evaluation information of the non-related persons An invention that can provide evaluation information about

Republic of Korea Patent No. 10-2130804 (Registration Date: June 29, 2020)

The present invention is to solve the problems of the prior art, and an object of the present invention is to make decisions such as purchase of products or services, participation in various social issues, or investment in various investment targets, , those interested in the decision-making target provide recommended information based on their own professional knowledge or experience, and non-related persons who have no personal or physical relationship with the decision-making target participate to evaluate the recommended information of the interested persons, and , to provide an evaluation information providing system and an evaluation information providing method capable of providing evaluation information on the decision-making target according to a predetermined criterion based on evaluation information of non-related persons.

As a technical solution for achieving the object of the present invention, as a first aspect of the present invention, by receiving decision-making target information from a consumer in need of decision-making, the decision-making Receive recommendation information by providing target information, receive evaluation information of the recommendation information from evaluators made up of unrelated persons who are not related to the decision-making target, and select consumers according to criteria set based on the evaluation information of the evaluators an evaluation information management computer that provides and manages evaluation information to users; Consumer information that is connected to the evaluation information management computer or belongs to the evaluation information management computer, provides target information requiring decision-making, and receives evaluation information about the target from the evaluation information management computer, and the consumers a participant information storage unit for storing recommender information providing recommendation information on the provided decision target information and a plurality of provider information providing detailed information related to the decision target; A decision-making target information storage unit for storing the target information required for decision-making provided by the consumers; a recommendation information storage unit for storing the recommendation target information provided by recommenders for the decision-making target; A related person information storage unit for storing information about a person who is directly related to each other, a non-related person information storage unit for storing information about persons who are not directly or indirectly related to the decision-making target, and a standard set among the non-related persons. or an evaluator information storage unit that is selected by an artificial intelligence program to evaluate the recommendation information of the recommenders, and an evaluation information storage unit that stores evaluation information including evaluation scores of the recommendation information by the raters; A provision evaluation information storage unit for storing evaluation information to be provided to consumers according to the criteria set in the evaluation information stored in the evaluation information storage unit, and a recommendation of a decision-making target and a predetermined reward to those participating in the evaluation of the recommendation information a data storage device including a compensation information storage unit for providing and storing the information; at least one consumer terminal that is communicatively connected to the evaluation information management computer through a user interface to provide decision-making target information and receive evaluation information on the decision-making target from the evaluation information management computer; at least one recommender terminal, which is communicatively connected to the evaluation information management computer through a user interface, receives the decision-making target information, and provides recommendation information related to the decision-making target to the evaluation information management computer; Communication is connected to the evaluation information management computer through a user interface and receives the recommendation information related to the decision-making target of the recommenders to provide the evaluation information including the score for the recommendation information to the evaluation information management computer, directly or indirectly to the decision-making target at least one evaluator terminal of evaluators composed of related persons who are not related to each other; at least one supplier terminal for supplying a target related to the decision-making target to consumers and communicating with the evaluation information management computer to provide supply target information and related person information; The evaluation information management computer is communicatively connected to the evaluation information management computer is configured to include a social network information medium for collecting various information related to the decision-making target and relation data indicating a specific relationship between people.

In addition, in a second aspect of the present invention, the evaluation information management computer comprising the steps of receiving the decision-making target information of the consumers input from at least one consumer terminal; providing, by the evaluation information management computer, decision-making target information of consumers to at least one recommender terminal; receiving, by the evaluation information management computer, recommendation information on at least one decision-making target input from the at least one recommender terminal; providing, by the evaluation information management computer, recommendation information on the at least one decision-making target to an evaluator terminal of at least one unrelated person who is not directly or indirectly related to the at least one decision-making target; receiving, by the evaluation information management computer, evaluation information including a score for at least one piece of recommendation information input from at least one evaluator terminal; The evaluation information providing method comprising the step of providing the evaluation information on the at least one decision-making target to at least one consumer terminal according to a criterion set based on the evaluation information of the evaluators received by the evaluation information management computer is presented do.

According to the present invention, in matters requiring consumers to make decisions such as purchase of products or services, participation in various social issues, or investments in various investment targets, professional knowledge or Non-related persons who are not related to the decision-making target in person or material participate and evaluate the recommendation information provided based on experience, and the evaluation information on the decision-making target based on a predetermined standard based on the evaluation information of the non-related persons By providing consumers with evaluation information that can guarantee objective and reliability of decision-making targets, it has the effect of helping consumers in their decision-making.

1 is a schematic configuration diagram of an embodiment of an evaluation information providing system of the present invention.
2 is a schematic configuration diagram of an embodiment of the evaluation information management computer, which is the main part of the evaluation information providing system of the present invention.
3 is a schematic configuration diagram of an embodiment of the related person information management module, which is the main part of the evaluation information management computer of the present invention.
4 is a schematic configuration diagram of an embodiment of the evaluator information management module, which is a main part of the evaluation information management computer of the present invention.
5 is a schematic configuration diagram of an embodiment of the evaluation information management module, which is the main part of the evaluation information management computer of the present invention.
6 is a flowchart for explaining an embodiment of a method for providing evaluation information according to the present invention.
7 is a flowchart for explaining another embodiment of the method for providing evaluation information of the present invention.
8 is a flowchart for explaining an embodiment of selecting non-related evaluators from among the embodiments of the evaluation information providing method of the present invention of FIG. 6 .

Hereinafter, embodiments of the evaluation information providing system and method of the present invention will be described in detail with reference to the accompanying drawings.

Terms used in the description of the embodiments of the present invention will be defined. Various computers and terminals used in the present invention may consist of hardware itself, or a computer program or web program that utilizes the hardware resources. For example, the evaluation information management computer of the present invention may consist of each component of hardware included in the computer, and each component of the web program or computer program stored in the storage means of the computer is stored in the computer registers, instructions and algorithms It may be a configuration executed by utilizing hardware resources of a central processing unit (CPU) including the like.

In addition, terms used or usable in the description of the embodiment of the present invention, such as '~ part', '~ module', '~ means' or ~ unit', may be used with the same meaning of the same configuration, and corresponding These are terms that can be appropriately substituted and used according to the action of the components. The above terms may be a hardware configuration of a computer or terminals, and may represent each component of a web program or computer program that is stored in the storage means of the computer and terminal and executed under the control of a central processing unit (CPU) or processor.

In the embodiment of the present invention, the above terms are mainly used as terms representing each component of a web program or a computer program.

Of course, other terms or expressions not defined herein are not bound by the terms or expressions, and have a greater meaning in the action or function of the components represented.

1 is a schematic configuration diagram of an embodiment of an evaluation information providing system of the present invention.

As shown in FIG. 1, the evaluation information providing system of the present invention receives decision-making target information from a consumer who needs a decision, and provides the decision-making target information to those interested in the decision-making target. to receive the recommendation information, receive the evaluation information of the recommendation information from the evaluators made up of non-related persons not related to the decision-making target, and provide the evaluation information to consumers according to the criteria set based on the evaluation information of the evaluators an evaluation information management computer 100 that provides and manages; Communication-connected with the evaluation information management computer 100 or belonging to the evaluation information management computer 100, provides information about the target that requires decision-making, and provides evaluation information about the target from the evaluation information management computer 100 Participant information storage unit 210 for storing the received consumer information, recommender information providing recommendation information regarding the decision target information provided by the consumers, and a plurality of supplier information providing detailed information related to the decision making target Wow; A decision-making target information storage unit 220 for storing the target information required for decision-making provided by the consumers, and a recommendation information storage unit 230 for storing the recommendation target information provided by recommenders for the decision-making target; A related person information storage unit 240 for storing related person information directly or indirectly related to the decision-making target, and a non-related person information storage unit 250 for storing information on non-related people who are not directly or indirectly related to the decision-making target ), an evaluator information storage unit 260 that is selected from among the non-related persons according to a set criterion or by an artificial intelligence program to evaluate the recommender's recommendation information, and the rater evaluates the recommended information An evaluation information storage unit 270 for storing evaluation information including scores, and a provision evaluation information storage unit for storing evaluation information to be provided to consumers according to criteria set in the evaluation information stored in the evaluation information storage unit 270 a data storage device 200 including 280 and a reward information storage unit 290 for providing a predetermined reward to those participating in the recommendation of a decision-making target and evaluation of the recommendation information and storing the information; At least one consumer terminal 300 that is communicatively connected to the evaluation information management computer 100 through a user interface to provide decision-making target information and receive evaluation information about the decision-making target from the evaluation information management computer 100 )Wow; At least one recommender terminal ( 400) and; Communication is connected to the evaluation information management computer 100 and the user interface through the user interface, and the recommenders receive the recommendation information related to the decision-making target, and provide the evaluation information including the score for the recommendation information to the evaluation information management computer 100, at least one evaluator terminal 500 of evaluators including persons who are not directly or indirectly related to the decision-making target; at least one supplier terminal 600 for supplying a target related to the decision-making target to consumers and communicatively connected to the evaluation information management computer 100 to provide supply target information and related person information; The evaluation information management computer 100 is connected to communication and the evaluation information management computer 100 includes a social network information medium 700 that collects various information related to the decision-making target and relation data indicating a specific relationship between people is the composition

The evaluation information management computer 100 is provided with a communication means and at least one server computer capable of executing a computer program or a web program that is controlled by the procedure of each process for securing the evaluation information on the decision-making target of consumers. can be composed of The evaluation information management computer 100 is configured to include at least one hardware processor and a memory in which a web program or computer program implementing an embodiment of the present invention is stored. The at least one hardware processor is configured to implement an embodiment of the present invention by controlling a web program or a computer program stored in the memory.

The data storage device 200 may be configured as a database management system (DBMS) that manages updating of data such as stored content.

The consumer terminal 300, the recommender terminal 400, the evaluator terminal 500, and the supplier terminal 600 are provided with communication means, and a user interface composed of an application program or a web program can be executed on a smart phone or tablet computer. , a personal computer (PC), may be composed of a terminal such as a notebook computer.

The social network information medium 700 is configured to include various social network services (SNS) and Internet media such as blogs and websites.

2 is a schematic configuration diagram of an embodiment of the evaluation information management computer, which is the main part of the evaluation information providing system of the present invention.

As shown in FIG. 2, the evaluation information management computer 100 of the present invention can be described as each component of a web program or computer program stored in a memory that is controlled and executed by at least one hardware processor as described above. .

Consumer information and consumer terminal information that provides target information requiring decision-making and receives evaluation information related to the target, and the above

a supplier information management module 110 for storing and managing supplier information and supplier terminal information that provides or sells a decision-making target to consumers; a recommender information management module 120 for storing and managing recommender information and recommender terminal information, which provides recommendation information on subjects requiring decision-making provided by the consumer; a related person information management module 130 for acquiring and managing information of related persons including acquaintances of the consumers, suppliers and recommenders; Non-related person information management that manages the information of non-related persons obtained by excluding the related persons from the participants consisting of a plurality of consumers, suppliers and recommenders registered as members to use the service provided by the evaluation information management computer 100 module 140; An evaluator who stores and manages evaluator information and evaluator terminal information that evaluates the recommendation information of the recommenders regarding the decision-making target selected from among the non-related persons according to the set criteria or by the execution of the artificial intelligence program and provides the evaluation information information management module 150 and; an evaluation information management module 160 for receiving, storing, and managing evaluation information including a score given to the recommendation information transmitted from the evaluators by providing the recommender's recommendation information to the evaluators; a provision evaluation information management module 170 for generating evaluation information on the decision-making targets according to criteria set based on the evaluation information of the evaluators, providing them to the consumers, and managing to be shared with the participants; Compensation information management that provides a predetermined reward to participants, including a recommender who provided recommendation information for the decision-making targets, and an evaluator who provided evaluation information including scores for the recommendation information of the recommenders, and manages the information module 180; It is a configuration including a user interface management module 190 that manages the update of the user interface that is output or executed in the terminals of the participants to input and output data.

3 is a schematic configuration diagram of an embodiment of the related person information management module, which is the main part of the evaluation information management computer of the present invention.

As shown in FIG. 3 , the related person information management module 130 of the present invention manages consumer related person information that acquires and manages information of related people related to the consumer, including acquaintances of the consumers who provide target information requiring decision making. a module 131; A supplier related person information management module 132 for acquiring and managing information on related persons related to the supplier, including acquaintances of suppliers who perform the supply or pending issues by providing products or pending issues, etc., corresponding to the target for decision making; a recommender-related person information management module 133 for acquiring and managing information on related persons related to the recommender, including acquaintances of the recommenders who provide recommendation information for a target requiring decision-making; It is a configuration including a participant relationship person information management module 134 that manages information of all related persons excluding duplicate related persons from the related person information of the consumers, suppliers, and recommenders.

4 is a schematic configuration diagram of an embodiment of the evaluator information management module, which is a main part of the evaluation information management computer of the present invention.

As shown in FIG. 4 , the evaluator information management module 150 of the present invention sets and manages criteria for selecting an evaluator composed of a non-related person to evaluate the recommendation information of a decision-making target in the non-related person information management module 140 . an evaluator selection criteria management module 151 and; It is a configuration including a selected evaluator information management module 152 that manages the selected evaluator information according to the set evaluator selection criteria.

5 is a schematic configuration diagram of an embodiment of the evaluation information management module, which is the main part of the evaluation information management computer of the present invention.

As shown in Fig. 5, the evaluation information management module 160 of the present invention includes: an evaluation criterion information management module 161 for setting and managing criteria for evaluators to evaluate recommendation information on decision-making targets; It is a configuration including an evaluation result information management module 162 that manages the evaluation results obtained by the evaluators evaluating the recommendation information according to the set evaluation criteria.

Hereinafter, an operation description of an embodiment of the evaluation information providing system of the present invention will be described in detail with reference to FIGS. 1 to 5 .

At least one consumer terminal 300 executes or accesses a user interface to access the evaluation information management computer 100 . The evaluation information management computer 100 receives at least one decision target information input in a manner set in the user interface of the at least one consumer terminal, and a decision target information storage unit of the data storage device 200 ( 220) is stored. The evaluation information management computer 100 inquires at least one piece of registered recommender information and provides the decision target information to the inquired recommender terminal. In this case, it is not limited thereto, and anyone interested in the decision-making target exposed by registering and exposing the decision-making target information in the application program (app) or website managed by the evaluation information management computer 100 is recommended Information can be configured to be registered on the app or website.

The target for which the decision-making is required is product information including product information and service information provided by suppliers, investment attraction information, investment product information, social issues, agendas, policies, personal purchases, etc. by consumers; Any object that needs or should be selected is possible.

In addition, the recommender may participate as a recommender by any person, such as an expert of the proposed decision-making target, an experienced person in action or use, or a person who has other interests. However, preferably, the information on the decision-making target is classified and managed by category, and those who have professional knowledge and experience in the category in which the recommenders are managed are registered as recommenders, and the information on the decision-making target provided for each category. It is recommended that the recommenders of the category corresponding to the above be inquired or participated to provide recommendation information.

The recommenders who have received the decision-making target information from the evaluation information management computer 100, or the recommenders who have checked the decision-making target information registered in the app or website, transmit the recommendation information on the decision-making target information to the recommender terminal 400 The recommendation information is provided to the evaluation information management computer 100 by inputting it into the user interface of the or website.

With respect to the recommendation information of the recommenders, when there are a plurality of decision-making targets of the consumer, for example, the consumer wants to purchase a 50-inch TV, and the 50-inch TV products sold on the market are 5 of companies A to E. When there is a type, recommenders recommend any one of products A to E based on their own professional knowledge or experience, and preferably, recommend information including the reason for recommendation to the evaluation information management computer 100 . It can be configured to provide

The evaluation information management computer 100 provides the recommendation information of the decision-making target to the evaluator terminals of the evaluators comprising a plurality of selected non-related persons. In this case, the recommendation information is provided to the evaluators selected by the evaluation information management computer 100 through the user interface of the evaluator terminal 500, or the recommendation is made to an app or a web page managed by the evaluation information management computer 100. The information may be registered, and only the selected recommender may be configured to access the recommendation information.

A configuration in which the evaluation information management computer 100 selects the evaluators will be described. The evaluators of the present invention are characterized in that they are selected from among non-related persons who have no relation to the decision-making target. For example, if consumer X wants to purchase a 50-inch television, the decision-making target provided by consumer X is a 50-inch television. The evaluation information management computer 100 may receive from the consumer X the information of the consumer X and the communication history information of the consumer X, and may receive an information extraction agreement that is a relationship in the communication history information of the consumer X. The evaluation information management computer 100 analyzes the communication details of the X consumer and extracts relationship data of the communication details including words, expressions, vocabulary, titles, etc. indicating a specific relationship between people. The evaluation information management computer 100 owns relational data representing a specific relationship between people and stores the updated self-retained relational data by accessing the social network information medium 700 to collect relational data. The evaluation information management computer 100 determines the correspondence between the extracted communication history relationship data and the self-owned relationship data, and extracts relationship data having a consistency greater than or equal to a set value. The evaluation information management computer 100 selects communication partners with consumer X using relationship data of communication details corresponding to relationship data having the extracted set value or more as relationship data of consumer X, and stores the relevant persons as consumer relationship information. make it Here, the user X himself may or may not be included in the related person information. If the consumer X is a person who has a relationship with the related persons of the supplier of the decision-making target, it may be included in the related person information.

In addition, supplier-related person information and recommender-related person information are generated in such a way that the consumer-related person information is generated for the recommender and the supplier for the 50-inch television. Here, the recommender and the provider themselves are naturally included in the related person information.

The evaluation information management computer 100 generates and stores participant related person information in which duplicate related person information is excluded from the generated consumer related person information, supplier related person information, and recommender related person information.

The above-mentioned consumer related person information, supplier related person information and recommender related person information basically includes acquaintance information such as family, acquaintances, acquaintances, coworkers, friends, school alumni, business partners and employees provided by the consumer, supplier, and recommender. .

In addition, in the case of a supplier, the participant related person information may include a competitor or competitor of the supplier, and related parties including executives and employees of the competitor or competitor.

In this way, the consumer related person information, the supplier related person information, the recommender related person information and the participant related person information can be generated using a program executed on the evaluation information management computer 100, and also the consumer related person information management module 131 , the supplier related person information management module 132 , the recommender related person information management module 133 , and the participant related person information management module 134 , respectively.

The evaluation information management computer 100 extracts, from the member information registered in the system, the members excluding the participant related person information as non-related persons of the decision-making target. The evaluation information management computer 100 selects an evaluator to participate in the evaluation of the recommendation information of the recommenders from the extracted non-related information. The selection of the evaluators from among the non-related persons may select a predetermined number of evaluators according to a set criterion, and an artificial intelligence program that is self-executing may set the number of evaluators and randomly select the set number of evaluators. In this case, it is possible to set the selection method so that the selection as an evaluator is prevented from being focused on a specific non-related person, so that the evaluation opportunity is evenly distributed to the non-related person.

The operation method of the artificial intelligence program can be implemented as follows. For example, there are 100,000 unrelated persons who can be selected as evaluators. When the actual number of evaluators is set to 100, the program for selecting an evaluator may be configured to select 100 evaluators among non-related persons by applying a probability of being selected as an evaluator to all non-related persons at 0.1%. Since the same probability is applied to all non-related persons in the above evaluator selection, a specific non-related person is not repeatedly selected as an evaluator, so the evaluation work is not concentrated on a specific non-related person, and all non-related persons are given the opportunity to participate in the evaluation work can be enjoyed equally. As a result, objectivity and reliability of the evaluator selection can be secured. Here, the artificial intelligence program for selecting evaluators is provided to the evaluator terminal 500 or individual participants rather than the evaluation information management computer 100 to prevent hacking or manipulation. It can be configured to run separately on a virtual cloud computer.

The evaluation information management computer 100 provides recommendation information of the recommenders to the evaluator terminal 500 of the selected non-relevant evaluators. In this case, recommendation information is provided through the user interface of the evaluator terminal 500, or the recommendation information is registered in an app or website managed by the evaluation information management computer 100, and only selected evaluators receive the recommendation information. It can be configured to connect to

When the evaluation information management computer 100 provides the recommendation information to the evaluators, the evaluation method and evaluation criteria for the recommendation information may be provided together. For example, a method for assigning a score to the evaluation of the recommendation information and when an evaluation score is given, the score is made out of 100 points and the standard information for assigning a score, for example, a decision target requires specialized knowledge In the case of the target, it is possible to provide information that allows the evaluators to easily evaluate whether the recommended information includes items of the specialized knowledge.

The evaluation information management computer 100 receives the evaluation of the recommendation information provided by the evaluators, for example, a score given to each recommendation information as evaluation information. In addition, the average of the evaluation scores given by the evaluators for each recommendation information can be determined, stored and managed according to the average value.

Table 1 shows an example of ranking by collecting decision-making target information of consumers, recommendation information of recommenders for decision-making target information, and evaluation information of evaluators for recommendation information.

decision-making
Target recommender
Recommendations Evaluation information of non-relevant evaluators

Smartphone brand product One 2 3 4 5 medium ranking Company A a 86 92 76 89 94 87.4 3 company B b 95 94 94 92 97 94.4 One company C c 92 93 89 87 94 91.0 2

electric car brand product rater 1 rater 2 rater 3 rater 4 rater 5 medium ranking company D d 80 87 79 84 90 84.0 2 Company E e 81 73 79 76 91 80.0 3 F company f 90 78 86 80 89 84.6 One

As can be seen in Table 1 above, when the decision-making target provided by the consumer is 'smartphone', the recommendation information provided by the recommenders is 'Company A's product', 'B Company B', and 'Company C's product'. , the average value of the scores given by evaluation by evaluators 1 to 5 selected among non-related persons was calculated as 87.4 for 'A's product', 94.4 for 'B's product', and 91.0 for 'C's product c'. It indicates that the evaluation result was derived with 'Product B from Company B' ranked 1st, 'Product c from Company C' was ranked 2nd, and 'Product a from Company A' was ranked 3rd.

In the same way, when the consumer's decision-making target is 'electric vehicle', 'Company F's f product ranked first with an average evaluation score of 84.6 points, 'Company D's product d ranked second with an average evaluation score of 84.0 points, and 'Company E' It can be seen that the evaluation result was derived for the e-product as the 3rd place with an average evaluation score of 80.0 points.

The evaluation information management computer 100 provides, for example, an evaluation result as shown in Table 1 to the consumer so that it can be utilized for decision-making of the consumer. The evaluation results (ranks) provided to the consumers may be updated regularly or in real time.

It should not be overlooked that the above-described evaluation method and ranking method of evaluators are merely one of various embodiments of the present invention.

The evaluation information management computer 100 may provide a predetermined reward to the recommenders who provided recommendation information in relation to the decision-making target and the evaluators who provided the evaluation information. For example, in order to induce an objective evaluation of a non-related person, if the subject evaluated by a non-related person is included in the top n final exposure to consumers, compensation is provided in proportion to the ranking, and the product that the consumer actually purchases is evaluated. It may be configured so that a separate compensation can be performed by a method such as a lottery among non-related persons. Here, the compensation resource may be covered by advertising revenue, etc. in the system, or as a part of sales from a supplier selected in the top n, a supplier who has actually transacted with a consumer, and the like.

6 is a flowchart for explaining an embodiment of a method for providing evaluation information according to the present invention.

As shown in FIG. 6 , the evaluation information providing method of the present invention includes: receiving, by the evaluation information management computer, information on the decision-making target of consumers input from at least one consumer terminal (S100); providing, by the evaluation information management computer, decision-making target information of consumers to at least one recommender terminal (S110); receiving, by the evaluation information management computer, recommendation information on at least one decision-making target input from the at least one recommender terminal (S120); Providing, by the evaluation information management computer, recommendation information on the at least one decision-making target to the evaluator terminal of the evaluators comprising at least one unrelated person who is not directly or indirectly related to the at least one decision-making target (S130) )Wow; receiving, by the evaluation information management computer, evaluation information of evaluators including scores for at least one piece of recommendation information input from at least one evaluator terminal (S140); providing, by the evaluation information management computer, evaluation result information on the at least one decision-making target to at least one consumer terminal according to a criterion set based on the evaluation information of the evaluators received by the evaluation information management computer (S150); The evaluation information management computer generates and stores a book including the evaluation information and the evaluation result information of the evaluators, and distributing and storing the book in the evaluator terminals of the evaluators who are unrelated to participating in the evaluation (S160) is the composition

In addition, the evaluation information management computer is a configuration that may further include the step of updating the evaluation result information on the at least one decision-making target at a certain point in time or in real time.

7 is a flowchart for explaining an embodiment of extracting related person information from among the embodiments of the evaluation information providing method of the present invention of FIG. 6 .

As shown in FIG. 7, in the method for providing evaluation information of the present invention, the evaluation information management computer includes the steps of receiving consumer information and consumer terminal information provided with decision-making target information (S200); extracting, by the evaluation information management computer, communication history relationship data including words, titles, conversations, expressions, and vocabulary indicating a specific relationship between people by analyzing the communication history information of the consumer terminal (S210); determining, by the evaluation information management computer, the correspondence between the extracted communication history relationship data and the relationship data representing a specific relationship between the person possessed by the evaluation information management computer, and extracting relationship data having a consistency greater than or equal to a set value (S220); Selecting, by the evaluation information management computer, communication counterparts using relational data of communication details corresponding to relational data having a consistency greater than or equal to the extracted set value as related persons of the consumer, generating the relevant persons as information of related persons of the consumer (S230) and ; Receiving, by the evaluation information management computer, at least one provider information and provider terminal information for supplying the decision-making target, and at least one recommender information and recommender terminal information for providing recommendation information on the decision-making target (S240) Wow; The evaluation information management computer analyzes the communication history information of the provider terminal and the recommender terminal to extract communication history relationship data including words, titles, conversations, expressions and vocabulary indicating a specific relationship between people (S250) and ; determining, by the evaluation information management computer, the correspondence between the extracted communication history relationship data and the relationship data indicating a specific relationship between the person possessed by the evaluation information management computer, and extracting relationship data having a consistency greater than or equal to a set value (S260); The evaluation information management computer selects the communication partners using the relationship data of the communication details corresponding to the relationship data having the extracted set value or more as the related persons of the supplier and the recommender, and converts the relevant persons into the information of the related person of the supplier and the information of the related person of the recommender generating (S270); The evaluation information management computer removes the overlapping relationship person information so that the related person information is not duplicated from the information of the consumer related person, the supplier related person, and the recommender related person, and generating the entire related person as the participant related person information (S280). .

In addition, the method may further include the step of adding information on the relationship person including the competitor of the supplier, the competitor, the competitor, and the executives and employees of the competitor to the information of the participant related person.

8 is a flowchart for explaining an embodiment of selecting non-related evaluators from among the embodiments of the evaluation information providing method of the present invention of FIG. 6 .

As shown in FIG. 8, in the evaluation information providing method of the present invention, the evaluation information management computer extracts, as non-related persons, the decision-making target, the members excluding the participant related persons information from the member information registered in the system. (S300) and; setting, by the evaluation information management computer, the number of evaluators of non-related persons to participate in the evaluation of the recommenders' recommendation information (S310); The evaluation information management computer is executed according to the criteria set in the extracted non-related person information or the artificial intelligence program is executed to prevent the selection as an evaluator from being focused on a specific non-related person, so that the evaluation opportunity is evenly distributed to the non-related person. It is a configuration that includes; a step (S320) of selecting non-related evaluators.

The embodiments of the present invention described above are only some of the various embodiments of the present invention. The present invention provides recommenders with decision-making target information that requires decision-making including purchase or selection by consumers of the present invention to receive recommendation information on the decision-making target, and to receive a predetermined By providing the recommendation information of the recommenders to a number of evaluators, the evaluation information on the recommendation information is received, and the evaluation result information is generated as evaluation result information according to a criterion set based on the evaluation information of the evaluators of the non-related person. It is natural that various embodiments included in the technical idea provided to consumers are included in the protection scope of the present invention.

100: evaluation information management computer
200: data storage device
300: consumer terminal
400: recommender terminal
500: evaluator terminal
600: provider terminal
700: social network information medium

Claims (18)

An evaluation information providing system comprising an evaluation information management computer that provides evaluation result information on at least one decision-making target of consumers,
The evaluation information management computer includes at least one hardware processor and a memory for storing a program, wherein the at least one hardware processor controls execution of the program stored in the memory,
Receive the recommendation information provided by the recommender for the decision-making target of the consumer,
By analyzing the communication details of the participants including the consumer, the recommender, and the decision-making target supplier, the information that is the relationship between the participants is stored through the extraction of relationship data representing a specific relationship between people,
extracting the information of at least one non-related person excluding the related person,
Receive at least one piece of evaluation information for the recommendation information provided by evaluators including at least one extracted non-related person,
Evaluation information providing system, characterized in that generating evaluation result information on the decision-making target according to a criterion set based on the at least one evaluation information and providing it to the consumer. The method according to claim 1,
The evaluation information providing system, characterized in that the decision-making target includes at least one target to be selected. 3. The method according to claim 2,
The recommendation information of the recommender is information for recommending the at least one target to be selected. The method according to claim 1,
The evaluation information providing system, characterized in that the recommendation information can be provided by anyone interested in the decision-making target. The method according to claim 1,
The evaluators are a supplier who provides or sells a subject for decision-making to the consumers, a relationship including an acquaintance of the supplier, a competitor and competitor of the supplier, a competitor of the supplier, and related parties including executives and employees of the competitor Evaluation information providing system, characterized in that it consists of excluded non-related persons. The method according to claim 1,
The evaluators consist of participants including consumers, recommenders, and suppliers of the decision-making target, a relationship of the participant, a competitor of the participant, and non-related persons excluding those related to the competitor, or having no relationship with the decision-making target. Evaluation information providing system, characterized in that it consists of non-related persons. The method according to claim 1,
The decision-making target is an evaluation information providing system, characterized in that it includes a product, a social issue, an agenda, a policy, an investment product, and a specific person. The method according to claim 1,
The evaluation information providing system, characterized in that the evaluators are made up of consumers who are related to the decision-making target and non-related persons from which related persons of the consumer are excluded. The method according to claim 1,
The evaluation information providing system, characterized in that the evaluation information of the evaluators includes a score given to the recommendation information. The method according to claim 1,
The evaluation information of the evaluators includes the score given to the recommendation information, and the evaluation result information includes information on a ranking determined according to an average value of the scores given to the recommendation information. The method according to claim 1,
Providing evaluation information, characterized in that the book including the evaluation information on the recommendation information of the evaluators and the evaluation result information generated based on the evaluation information is generated and stored, and the book is distributed and stored in the evaluator terminals of the evaluators system. The method according to claim 1,
An evaluation information providing system, characterized in that a predetermined reward is provided to the recommenders who provided the recommendation information and the evaluators who provided the evaluation information. The method according to claim 1,
The evaluation information providing system, characterized in that the evaluation result information is updated at a certain point in time or in real time. As a method of providing evaluation information using an evaluation information management computer that provides evaluation result information on at least one decision-making target of consumers,
receiving, by the evaluation information management computer, the consumer's decision-making target information input from the consumer's terminal;
providing, by the evaluation information management computer, the consumer's decision-making target information to at least one recommender terminal;
receiving, by the evaluation information management computer, recommendation information provided by a recommender for the decision-making target of the consumer;
storing, by the evaluation information management computer, information on the relationship of the participants through the extraction of relationship data indicating a specific relationship between people by analyzing the communication details of the participants including the consumer, the recommender, and the decision-making target provider;
extracting, by the evaluation information management computer, information on at least one non-related person excluding the related person;
providing, by the evaluation information management computer, recommendation information on the decision-making target to the evaluator terminals of evaluators made up of unrelated persons extracted;
receiving, by the evaluation information management computer, evaluation information of evaluators including scores for at least one piece of recommendation information input from at least one evaluator terminal;
generating, by the evaluation information management computer, evaluation result information on the decision-making target based on criteria set based on the evaluation information of the evaluators received, and providing the information to the consumer terminal;
Providing, by the evaluation information management computer, generating and storing a book including the evaluation information and the evaluation result information of the evaluators, and distributing and storing the book in evaluator terminals of non-related evaluators participating in the evaluation Way. 15. The method of claim 14,
The evaluation information providing method further comprising the step of the evaluation information management computer updating the evaluation result information. 15. The method of claim 14,
Information of related persons directly or indirectly related to the decision-making target for extracting the non-related persons,
receiving, by the evaluation information management computer, consumer information and consumer terminal information to which decision-making target information is provided; extracting, by the evaluation information management computer, communication history relationship data including words, titles, conversations, expressions, and vocabulary, etc. representing a specific relationship between people by analyzing the communication history information of the consumer terminal; determining, by the evaluation information management computer, the correspondence between the extracted communication history relationship data and the relationship data representing a specific relationship between the person possessed by the evaluation information management computer, and extracting relationship data having a consistency greater than or equal to a set value; selecting, by the evaluation information management computer, communication counterparts using relational data of communication details corresponding to relational data having a consistency equal to or greater than the extracted set value, as related persons of the consumer, and generating the relevant persons as information of related persons of the consumer; receiving, by the evaluation information management computer, at least one provider information and provider terminal information for supplying the decision-making target, and at least one recommender information and recommender terminal information for providing recommendation information on the decision-making target; extracting, by the evaluation information management computer, communication history relationship data including words, titles, conversations, expressions, and vocabulary indicating a specific relationship between people by analyzing the communication history information of the provider terminal and the recommender terminal; determining, by the evaluation information management computer, the correspondence between the extracted communication history relationship data and the relationship data representing a specific relationship between the person possessed by the evaluation information management computer, and extracting relationship data having a consistency greater than or equal to a set value; The evaluation information management computer selects the communication partners using the relationship data of the communication details corresponding to the relationship data having the extracted set value or more as the related persons of the supplier and the recommender, and converts the relevant persons into the information of the person related to the supplier and the information of the person related to the recommender. generating; The evaluation information management computer removes the overlapping relationship person information so that the related person information is not duplicated from the information of the consumer related person, the supplier related person, and the recommender related person, and generating all related persons as information of the participant related persons. How to provide evaluation information. 15. The method of claim 14,
The evaluators are
extracting, by the evaluation information management computer, the non-related persons of the decision-making target, the members excluding the participant related persons information from the member information registered in the system; setting, by the evaluation information management computer, the number of non-related persons to participate in evaluation of the recommenders' recommendation information; The evaluation information management computer selects an evaluator according to the criteria set in the extracted non-related person information, or prevents the selection of an evaluator from being focused on a specific non-related person, so that the evaluation opportunity is evenly distributed to non-related persons. A method of providing evaluation information, characterized in that it is selected, including the step of selecting unrelated evaluators by As a method of providing evaluation information using an evaluation information management computer that provides evaluation result information on the decision-making target of consumers,
receiving, by the evaluation information management computer, recommendation information provided by a recommender for the decision-making target of the consumer;
storing, by the evaluation information management computer, information that is the relationship between the participants through the extraction of relationship data representing a specific relationship between people by analyzing the communication details of the participants including the consumer, the recommender, and the decision-making target provider;
extracting, by the evaluation information management computer, information on at least one non-related person excluding the related person;
receiving, by the evaluation information management computer, at least one piece of evaluation information on the recommendation information provided by evaluators including extracted non-related persons;
The evaluation information providing method comprising the step of generating, by the evaluation information management computer, evaluation result information on the decision-making target according to a criterion set based on the at least one evaluation information, and providing the information to the consumer.

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