A method for searching for target IP for a target ITEM, a computer device for performing the same, and a computer program and recording medium.

Abstract

A target IP search method for a target item according to one embodiment is performed by a computer device. The target IP search method for the target item includes the steps of: obtaining a designating query for the target item; and, based on the query, searching for a plurality of target IPs used in at least one of the research, development and production of the target item. Here, the plurality of target IPs include IP relating to each of at least two components of the components of the target item and / or IP relating to the combined technology of the at least two components used for the performance, operation, production and use of the target item.

Description

Technical Field

[0001] The present invention relates to a target IP search method for a target item and a computer device for performing the same.

Background Art

[0002] During the year 2021, a total of approximately 1.4 million patents were registered in IP5 (South Korea, China, the United States, Europe, and Japan) including South Korea. In addition, during the five years immediately before 2021, approximately 1 million patents were registered each year.

[0003] However, among such a large number of registered patents, only a part of the registered patents are actually used by the patentee for product research, development, or production.

[0004] The reason why only some of the registered patents, rather than all of them, are used by the patentee (or the licensee) can be attributed to the "insurance nature" of the patent. As is well known, insurance is a means of preparing in advance to prepare for an event that has not yet occurred but is predicted to occur. Similar to such insurance, a patent is a means for the patentee to receive protection for technologies that are not currently used in research, development, or production but are predicted to be used in the future or to preempt technologies that are predicted to be used by competing companies and prevent the implementation of such competing companies.

[0005] However, not all predictions are consistent. When conducting research, development, or production on their own, the patentee may use technologies different from those protected by the patent, unlike when securing the patent. Also, even if a patent registration is obtained to prevent the implementation of competing companies, the competing companies may intentionally or unintentionally avoid and implement the registered patent. In such cases, it cannot be said that the registered patent is used as intended by the patentee of the patent.

[0006] Therefore, there is a need for a way to ensure that registered patents can be properly utilized. One such way is to transfer the registered patent to the applicant or to grant the applicant a license to such registered patent.

[0007] At this time, various procedures are required to transfer a registered patent or to grant a license therefor. For example, a lawyer or patent attorney can be appointed to act as an agent in the license agreement. In addition, a patent valuation can be conducted to be used as the basis for formulating license fees, and experts such as patent attorneys and accountants can be appointed in this process as well.

[0008] In other words, the transfer of registered patents and the granting of licenses thereto require procedures involving the appointment of various specialists. This process can sometimes require considerable time and expense for these specialists to perform their duties.

[0009] As a result, transferring or receiving a registered patent, or granting or being granted a license to a registered patent, can be somewhat burdensome for the general public. [Overview of the project] [Problems that the invention aims to solve]

[0010] One of the problems to be solved by this embodiment involves searching for and providing IP related to technologies used in the research, development, or production of a target item, among various types of IP including patents, using an artificial intelligence model.

[0011] Furthermore, providing a platform that facilitates the transfer and licensing of the IPs found in this way—that is, a platform that facilitates the trading or contracting of these IPs—can be included in these challenges.

[0012] Furthermore, the aforementioned challenges can also include packaging and tradable the information generated through such searches, that is, the technologies necessary for the research, development, or production of the target item, and the IP information related to such technologies.

[0013] However, these issues are not limited to those mentioned above. [Means for solving the problem]

[0014] A method for searching for target IP for a target item, performed by a computer device according to a first embodiment, the method comprising: obtaining a designating query for the target item; and searching for a plurality of target IPs used in at least one of the research, development and production of the target item based on the query. The plurality of target IPs include IP relating to at least two components of the components of the target item and IP relating to combination techniques of the at least two components used for the performance, operation, production and use of the target item.

[0015] Furthermore, the search step may include steps of: searching for components of the target item based on the query; searching for a target IP that contains at least one of the searched components; searching for the combination technology using the technology for combining the components as a query; and searching for a target IP that contains the searched combination technology.

[0016] Furthermore, in the search step, patents in which the claims describe at least one of the components of the target item and a technology for combining the components can be searched as the target IP.

[0017] Furthermore, the target IP search method for the target item further includes a step of selecting patents whose claims describe additional components not included in the target item, or which describe a combination technology different from the combination technology of the components, and the search step can be controlled so that none of the multiple target IPs include the selected patents.

[0018] Furthermore, at least one of the additional components and the different combination techniques may be determined based on input from the requesting party.

[0019] The present invention may further include the steps of: selecting patents whose claims describe additional components not included in the subject item, or describing a combination technology different from the combination technology of the components; presenting the selected patents to the applicant as reference technologies in the research or development of the subject item; and, when a search request for the reference technologies is received from the applicant, searching for IPs that include at least one of the additional components and the different combination technologies.

[0020] Furthermore, the target IP search method for the target item further includes a step of obtaining information about IPs that can be searched as target IPs and IPs that should not be included in the search results in the search step, and the multiple target IPs may be those found among the IPs corresponding to the information that can be searched as target IPs.

[0021] Furthermore, the query may include wording that specifies performance improvement of the target item, and in the search step, patents in which the section describing the effects of the invention contains at least one of the wording and a semantic synonym of the wording may be searched as the target IP.

[0022] In addition, the query includes quantitative indicator wordings representing the performance of the target item, and in the searching step, patents can be searched as the target IPs, where the performance of the target item extracted from the section describing the effects of the invention meets the range limited by the quantitative indicator wordings.

[0023] In addition, in the searching step, although the performance of the target item extracted from the section describing the effects of the invention is outside the range limited by the quantitative indicator wordings, patents described such that the performance of the target item in the detailed description of the invention is not limited and construed to what is described in the detailed description of the invention or the effects of the invention can be searched as the target IPs.

[0024] In addition, the target IP can include at least one of registered patents, published patents, registered utility models, published utility models, registered trademarks, published trademarks, registered designs, published designs, copyrights, software, and know-how.

[0025] In addition, in the searching step, a language model that has received the input of the query can search and provide the plurality of target IPs.

[0026] In addition, the language model may be learned by fine-tuning a pre-trained model based on at least one of papers, patent publication documents, and utility model publication documents.

[0027] In addition, in the fine-tuning, reinforcement learning by human feedback (RLHF) may be performed.

[0028] In addition, in the reinforcement learning with human feedback, a learning process using a dialogue set generated by a human and a learning process using rankings selected by a human for a plurality of outputs generated by the language model can be performed.

[0029] Furthermore, it may further include a step of concluding a contract that reflects the agreement between the right holder of the target IP and the implementer while making the right to use the searched target IP the subject of the contract.

[0030] Also, the contract may include an assignment contract or a license contract for the searched target IP.

[0031] The agreement may include at least one of the transfer amount of the searched target IP, the license fee, the payment method of the license fee, the termination condition of the license, the region, the applicable field of the license, the claim number to which the right to use is granted, and the necessity of technical assistance.

[0032] Also, the agreement may be input by the right holder of the target IP.

[0033] Also, at least one of the maximum amount, minimum amount, and average amount of the transfer amount and the license fee can be provided to the right holder of the target IP as reference information based on statistics or artificial intelligence.

[0034] Furthermore, the method for searching for the target IP for the target item may further include a step of recommending a mediator who mediates the requirements between the right holder of the target IP and the implementer by a learned mediator recommendation model, and the agreement may be mediated by the mediator recommended by the mediator recommendation model.

[0035] Furthermore, the mediator recommendation model can recommend mediators based on at least one of the following: each mediator's specialization, each mediator's success rate in mediation by technical field, and the past agreement tendencies of the rights holder and the requesting party of the target IP.

[0036] Furthermore, the target IP search method for the target item further includes a step in which a mediation proposal for mediating the requirements between the rights holder and the requester of the target IP is recommended by a trained mediation proposal recommendation model, and the agreement may include the mediation proposal recommended by the mediation proposal recommendation model.

[0037] The method may further include the steps of obtaining requests from the rights holder of the target IP and the requesting party, respectively; and generating a term sheet containing the obtained requests and providing it to the rights holder of the target IP and the requesting party, respectively.

[0038] Furthermore, the term sheet can distinguish between the requests obtained and those for which the parties agree and those for which they do not.

[0039] Furthermore, the system may further include a step of reflecting the contents of the concluded contract onto a designated blockchain.

[0040] Furthermore, the target IP search method for the target item further includes the steps of: obtaining relative importance information for each of the components of the target item and the combined technology; and determining an upper limit on the license fee for each of the components and the combined technology, depending on the obtained relative importance, wherein the plurality of target IPs may be determined at least in part on the determined upper limit on the license fee and a license fee predetermined by the IP rights holder.

[0041] Furthermore, in the search step, two or more candidate IPs are searched for each of the components of the target item and the combined technology, and the target IP search method for the target item further includes a step of ranking the two or more candidate IPs found for each of the components of the target item and the combined technology, the ranking of the candidate IPs may be based on at least one of the number of IPs owned by the IP rights holder for similar technology, the number of times the IP has been cited, the existence or number of papers relating to the IP, or the existence or number of licenses set for the IP.

[0042] The method may further include the steps of generating a business package file that includes information on the components of the target item, the technology for combining the components, the IP relating to the components of the target item, and the IP relating to the technology for combining the components; and controlling the generated business package file so that it can be bought and sold on a business item trading platform.

[0043] The process may further include the step of reflecting the aforementioned business package file onto a predetermined blockchain.

[0044] Furthermore, the blockchain may be characterized as a private blockchain accessible only to the entity that acquired the business package file.

[0045] Furthermore, the blockchain can contain contract details regarding the buying and selling of the business package file.

[0046] Furthermore, the step of concluding the agreement may include at least one of the following steps: obtaining electronic signatures from the rights holder of the target IP and the requesting party; and obtaining notarization of the concluded agreement.

[0047] The computer program according to the second embodiment may be stored on a recording medium readable by a computer that is executed including each of the steps included in the method described above.

[0048] The computer-readable recording medium according to the third embodiment includes a computer program, which may be executed including each of the steps included in the method described above.

[0049] A computer device according to the fourth embodiment includes a memory for storing at least one command and a processor, wherein the processor executes the at least one command to obtain a designating query for an item, and based on the query, a plurality of target IPs are retrieved for use in at least one of the research, development and production of the item, the plurality of target IPs may include IPs relating to at least two components of the item and IPs relating to combination techniques of the at least two components used for the performance, operation, production and use of the item.

[0050] Furthermore, in the search for the multiple target IPs, patents whose claims describe at least one of the components of the target item and a technology for combining the components can be searched as the target IPs.

[0051] Furthermore, by executing the at least one command by the processor, patents are selected that describe additional components not included in the target item, or that describe a combination technique different from the combination technique of the components, and the search for the multiple target IPs can be controlled so that the selected patents are not included in the multiple target IPs.

[0052] Furthermore, the additional components and at least one of the different combination technologies may be determined based on input from the requesting party.

[0053] Furthermore, when a patent is selected in which the claim describes an additional component not included in the subject item, or a combination technology different from the combination technology of the component, and the requested user is presented with the selected patent as a reference technology in the research or development of the subject item, and the requested user requests a search for the reference technology, IP containing at least one of the additional component and the different combination technology can be searched.

[0054] Furthermore, when at least one of the commands is executed by the processor, information is obtained regarding IPs that can be searched as target IPs and IPs that should not be included in the search results, and the multiple target IPs may be found among the searchable IPs and not among the IPs that should not be included in the search results.

[0055] Furthermore, the query includes wording that specifies performance improvement of the target item, and the search can find patents as the target IP in which the section describing the effects of the invention contains at least one of the wording and a semantic synonym of the wording.

[0056] Furthermore, the query includes quantitative index wording representing the performance of the target item, and the search can find patents as the target IP in which the performance of the target item extracted from the section describing the effects of the invention satisfies the range limited by the quantitative index wording.

[0057] Furthermore, in the search, patents in which the performance of the target item extracted from the section describing the effects of the invention falls outside the scope limited by the quantitative indicator wording, but the detailed description of the invention states that the performance of the target item is not limited to what is described in the detailed description of the invention or the effects of the invention, can be searched as target IP.

[0058] Furthermore, the target IP may include at least one of the following: registered patents, published gazettes, registered utility models, published utility models, registered trademarks, published trademarks, registered designs, published designs, copyrights, software, and know-how.

[0059] Furthermore, in the search, the language model that receives the query input can search for and provide the multiple target IPs.

[0060] Furthermore, the language model may be one that has been trained by fine-tuning a model that has been pre-trained based on at least one of a research paper, a published patent document, and a published utility model document.

[0061] Furthermore, the aforementioned fine-tuning may involve reinforcement learning by human feedback (RLHF).

[0062] Furthermore, in the reinforcement learning using human feedback, a learning process can be carried out using a set of dialogues generated by a person, and a learning process can be carried out using a ranking selected by a person for multiple outputs generated by the language model.

[0063] Furthermore, in the search, the components of the target item are searched based on the query, a target IP containing at least one of the searched components is searched, the combination technology is searched using the technology for combining the components as a query, and a target IP containing the searched combination technology is searched.

[0064] Furthermore, when at least one of the commands is executed by the processor, a contract can be concluded that includes the right to use the searched target IP as the subject of the contract, while also reflecting the agreement between the rights holder of the target IP and the requesting party.

[0065] Furthermore, the agreement may include a transfer agreement or license agreement for the searched target IP.

[0066] Furthermore, the agreement may include at least one of the following: the transfer price of the identified target IP, the license fee, the method of payment of the license fee, the termination conditions of the license, the domain, the field of application of the license, the number of the claim to which the right of use is granted, and whether or not technical assistance is required.

[0067] Furthermore, the aforementioned agreement may be entered by the rights holder of the target IP.

[0068] Furthermore, based on statistics or artificial intelligence, at least one of the maximum, minimum, and average amounts of the transfer amount and the license fee can be provided to the rights holder of the target IP as reference information.

[0069] Furthermore, the execution of at least one command by the processor may result in a mediator being recommended by a trained mediator recommendation model to mediate the requirements between the rights holder and the requester of the target IP, and the agreement may be mediated by the mediator recommended by the mediator recommendation model.

[0070] Furthermore, the mediator recommendation model can recommend mediators based on at least one of the following: each mediator's specialization, each mediator's success rate in mediation by technical field, and the past agreement tendencies of the rights holder and the requesting party of the target IP.

[0071] Furthermore, the execution of at least one command by the processor may result in a pre-trained mediation proposal recommendation model recommending a mediation proposal to mediate the requirements between the rights holder and the requester of the target IP, and the agreement may include the mediation proposal recommended by the mediation proposal recommendation model.

[0072] Furthermore, requests can be obtained from both the rights holder of the target IP and the requesting party, and a term sheet can be generated containing the obtained requests and provided to both the rights holder of the target IP and the requesting party.

[0073] Furthermore, the term sheet can distinguish between items on which the parties agreed and items on which they did not agree among the acquired requests.

[0074] Furthermore, the contents of the aforementioned concluded contract can be reflected on a designated blockchain.

[0075] Furthermore, when the processor executes at least one of the commands, relative importance information is obtained for each of the components of the target item and the combined technology, and an upper limit on the license fee for each of the components and the combined technology is determined depending on the obtained relative importance, and the multiple target IPs may be determined at least in part on the determined upper limit on the license fee and the license fee predetermined by the IP rights holder.

[0076] Furthermore, in the search, two or more candidate IPs are found for each of the components of the target item and the combined technology, and at least one command is executed by the processor to rank the two or more candidate IPs found for each of the components of the target item and the combined technology. The ranking of the candidate IPs may be based on at least one of the following: the number of IPs owned by the rights holder of the IP for similar technology, the number of times the IP has been cited, the existence or number of papers relating to the IP, or the existence or number of licenses set for the IP.

[0077] Furthermore, a business package file is generated that includes information on the components of the target item, the technology for combining the components, the IP related to the components of the target item, and the IP related to the technology for combining the components. The generated business package file can then be controlled to be traded on a business item trading platform.

[0078] Furthermore, the aforementioned business package file can be reflected on a predetermined blockchain.

[0079] Furthermore, the blockchain may be characterized as a private blockchain accessible only to the entity that acquired the business package file.

[0080] Furthermore, the blockchain can contain contract details regarding the buying and selling of the business package file.

[0081] Furthermore, the step of concluding the agreement may include at least one of the following steps: obtaining electronic signatures from the rights holder of the target IP and the requesting party; and obtaining notarization of the concluded agreement. [Effects of the Invention]

[0082] According to one embodiment, the requesting party can easily search for the IP necessary for the research, development, production, sale, or rental of the target item based on a query. Furthermore, the requesting party can easily conclude transfer or license agreements for the IP thus found with the rights holder of said IP without the assistance of legal professionals such as lawyers or patent attorneys.

[0083] Furthermore, IP rights holders can encourage more people to use their IP, and in some cases, they can earn additional revenue by allowing third parties to use IP that they themselves do not use or have no plans to use. This can encourage more people to take an interest in IP and attempt to acquire rights to it, thus allowing the IP trading market to grow quantitatively or qualitatively.

[0084] Furthermore, the search results generated by those requesting implementation can be utilized as business items with unique value, and since various people can be involved in the realization of such business items, it has the effect of creating employment.

[0085] Furthermore, during the IP transaction process, the IP rights holder can secure information about the target item of the requesting party, and in some cases, the IP rights holder or a third party may be willing to invest in such a target item. In other words, from the perspective of the requesting party, it is not only possible to secure the right to use the IP, but also to solicit investors for their target item through a computer device in one embodiment. [Brief explanation of the drawing]

[0086] [Figure 1] Figure 1 illustrates a computer device according to one embodiment and various entities connected to such a computer device via a network. [Figure 2] Figure 2 illustrates a block diagram showing the configuration of a computer device according to one embodiment. [Figure 3] Figure 3 conceptually illustrates an architecture related to deep learning. [Figure 4] Figure 4 conceptually illustrates an architecture for a convolutional neural network. [Figure 5] Figure 5 shows an illustrative flowchart illustrating the procedure for training a language model used to search for a target IP using a computer device according to one embodiment. [Figure 6] Figure 6 illustrates a flowchart of a target IP search method for a target item according to one embodiment. [Figure 7] Figure 7 illustrates the search results obtained in response to a query regarding a target item using a computer device according to one embodiment. [Figure 8] Figure 8 illustrates a flowchart showing the procedure for retrieving the components of a target item and the techniques for combining them, according to one embodiment. [Figure 9] Figure 9 illustrates whether the search results for one embodiment include patents that claim additional components not included in the components of the target item, or a bonding technology different from the bonding technology of the said components. [Figure 10] Figure 10 illustrates a flowchart of the procedures to be performed when the additional components and different combination technologies shown in Figure 9 are presented to the requesting party as reference technologies. [Figure 11] Figure 11 conceptually illustrates what searchable patents look like when a query includes wording related to performance improvements of the target item. [Figure 12] Figure 12 conceptually illustrates what searchable patents might look like when a query includes wording related to performance improvements of the target item. [Figure 13]Figure 13 conceptually illustrates what searchable patents look like when a query includes wording related to performance improvements of the target item. [Figure 14] Figure 14 illustrates an example of a contract concluded between an IP rights holder and a party requesting the use of said IP, using a computer device according to one embodiment. [Figure 15] Figure 15 conceptually illustrates an example of the information that an IP rights holder should input at the stage of concluding an IP agreement, according to one embodiment. [Figure 16] Figure 16 illustrates a term sheet that can be generated by one embodiment. [Figure 17] Figure 17 conceptually illustrates how a set of information for the research, development, or production of a target item, generated by one embodiment, is stored and protected on a blockchain. [Modes for carrying out the invention]

[0087] The advantages and features of the present invention, and methods for achieving them, will become clearer with reference to the embodiments described below in detail with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and can be carried out in a variety of different forms, but these embodiments are provided to complete the disclosure of the present invention and to fully inform those who are ordinary skill in the art to which the invention pertains, and the present invention is defined only by the scope of the claims.

[0088] In describing embodiments of the present invention, if a specific description of a known function or configuration is deemed to unnecessarily obscure the gist of the invention, such detailed description will be omitted. Furthermore, the terms described later are defined in consideration of the functions in embodiments of the present invention, and these may change depending on the intent or conventions of the user or operator. Therefore, their definitions should be based on the overall content of this specification.

[0089] Before describing embodiments of the present invention, some terms will be explained below.

[0090] The term "use" refers to actions such as research, development, production, use, transfer, rental, import, or applications for transfer or rental. Such use has a meaning somewhat similar to "implementation" under patent law.

[0091] Figure 1 illustrates a computer device (100) according to one embodiment and various entities (200 to 400) connected to such a computer device (100) by a network (500). Referring to Figure 1, the computer device (100), the IP information providing server (200), the IP rights holder terminal (300), and the implementation requester terminal (400) can communicate with each other via the network (500). Herein, the drawing shown in Figure 1 is merely illustrative, and the concept of the present invention is not limited to what is shown in Figure 1.

[0092] Here, network (500) means a wireless or wired network. In the case of a wireless network, it may include at least one of the following: LTE (Long-Term Evolution), LTE-A (LTE Advance), CDMA (Code Division Multiple Access), WCDMA (Wideband CDMA), UMTS (Universal Mobile Telecommunications System), WiBro (Wireless Broadband), WiFi (Wireless Fidelity), Bluetooth (Registered Trademark), NFC (Near Field Communication), and GNSS (Global Navigation Satellite System). In the case of a wired network, it may include at least one of the following: USB (Universal Serial Bus), HDMI (High Definition Multimedia Interface), RS-232 (Recommended Standard 232), LAN (Local Area Network), WAN (Wide Area Network), the Internet, and telephone network.

[0093] An IP information providing server (200) is a device established to provide or disclose information related to IP. For example, a server that publishes publicly available patent gazettes or registered patent gazettes can be included in such an IP information providing server (200). Furthermore, a server in which know-how (or trade secrets) of an individual or company is privately stored or managed, such as a server that stores know-how based on blockchain, can also be included in such an IP information providing server (200).

[0094] The IP information server (200) can provide information on various types of IP. For example, the IP information server (200) can provide information on at least one of the following: registered patents, published patents, registered utility models, published utility models, registered trademarks, published trademarks, registered designs, published designs, copyrights, software, and know-how.

[0095] The IP information server (200) can provide various types of information for each of the various types of IPs mentioned above, as follows, but is not limited to these.

[0096] - Who are the rights holders? -What kind of rights -What kind of technology is it related to? - To what extent do you want protection? - How long can it be protected? - In which country is this right valid?

[0097] An IP rights holder terminal (300) refers to a terminal that can be used by an IP rights holder (310), such as a patent holder, utility model right holder, trademark right holder, design right holder, copyright holder, or know-how holder. Such a terminal (300) may be a computer or laptop computer, as shown in Figure 1, or it may be a smartphone or smartpad, but is not limited to these.

[0098] The IP rights holder (310) can input various types of information through the IP rights holder terminal (300), and this input information can be transmitted from the IP rights holder terminal (300) to the computer device (100). However, the types of information that can be input or transmitted are not limited to these.

[0099] -(Transfer amount at the time of transfer) - At least one of the following: (at the time of license conclusion) license fee, method of payment of license fee, license termination conditions, territory, field of application of the license, and the number of the claim to which the right of use is granted. - Is technical assistance required?

[0100] To this end, the IP rights holder terminal (300) may be equipped with a user interface for receiving predetermined information from the IP rights holder (310). In this embodiment, the IP rights holder terminal (300) may receive a guide from the computer device (100) that the IP rights holder (310) can refer to when inputting the above information, such as the maximum, minimum, or average amount of the transfer amount or license fee, and present it to the IP rights holder (310) using the user interface described above, which will be described later.

[0101] On the other hand, the aforementioned "transfer of know-how" refers to the act of the IP rights holder (310) transmitting their (310) know-how to the applicant (410). Typically, transferring IP such as a registered patent or registered utility model to the applicant (410), or granting the applicant (410) a license for it, means granting the applicant (410) the right to use such IP.

[0102] In this case, the transfer of IP as described above does not necessarily include the transmission of "know-how." First, because know-how is "confidential," it is not described in the registered patent or registered utility model publications mentioned above. However, depending on the applicant (410), in order to use the target item that they (410) are targeting, they may need not only the right to use the registered patent or registered utility model, but also know-how that is not described in these publications.

[0103] In view of the above, in one embodiment, the IP rights holder (310) can decide whether or not he / she intends to transfer the know-how he / she possesses to a third party such as the requester (410). The matters thus decided can be transmitted to the computer device (100) via the IP rights holder terminal (300). The requester (410) can then confirm, via the computer device (100), whether or not he / she can receive the transfer of know-how related to the IP he / she needs.

[0104] On the other hand, the IP rights holder (310) can input a wider range of information through such an IP rights holder terminal (300), which will be discussed later.

[0105] The requesting party terminal (400) refers to a terminal that can be used by the requesting party (410). Here, the requesting party (410) refers to a requesting party who wishes to implement the IP held by the IP rights holder (310). Such a requesting party terminal (400) may be a computer or laptop computer, as shown in Figure 1, or it may be a smartphone or smartpad. However, it is not limited to these.

[0106] The requester (410) can input various types of information, such as those listed below, through the requester terminal (400), and this input information can be transmitted to the computer device (100). However, the types of information that can be input or transmitted are not limited to these.

[0107] - Intention to acquire or request a license -(If you intend to acquire) Desired acquisition price -(If you intend to enter into a license agreement) At least one of the following: desired license fee, desired payment method for the license fee, desired termination conditions for the license, desired domain, desired application area for the license, and desired number of claims. - Do you wish to receive technical assistance?

[0108] To this end, the requesting party terminal (400) may be equipped with a user interface for receiving predetermined information from the requesting party (410). In this case, depending on the embodiment, the requesting party terminal (400) may provide a guide that the requesting party (410) can refer to when entering the above information. Such a guide may include, for example, the above-mentioned types of information entered by the IP rights holder (310), the highest, lowest, or average amounts of the transfer amount and license fee aggregated by the computer device (100), etc.

[0109] On the other hand, the person requesting the implementation (410) can input a wider variety of information through such a requesting terminal (400), which will be discussed later.

[0110] A computer device (100) according to one embodiment can be implemented by a server.

[0111] First, the computer device (100) obtains a query entered by the requesting party (410) from the requesting party's terminal (400). Here, the query is a word that designates the target item. The target item may be a product or a method or process, but is not limited to these. Such a target item refers to an object that the requesting party (410) uses for research, development, production, sales, use, or rental, etc.

[0112] The computer device (100) searches for target IP used in at least one of the research, development, production, sales, use, and rental of the target item, based on the acquired query. An artificial intelligence model, specifically a language model, can be used for the search, which will be described later.

[0113] The target IPs found in this way may be one or more. Specifically, if multiple target IPs are found, these target IPs include IPs for each of the components of the target item and / or IPs for the coupling techniques used in combinations of such components.

[0114] Here, the constituent elements of the target item refer to the elements that make up the target item. For example, the constituent elements of an invention under patent law may be examples of the constituent elements of the target item described above.

[0115] Furthermore, "combination technology" refers to techniques used to combine, combine, link, cooperate, or test the components of an item for the performance, operation, production, or use of that item. For example, if the components are substances, this may include the proportions and methods of mixing them, the methods of reacting these substances, and the methods of analyzing the results of the reactions. If the components are parts, examples of combination technology may include methods for assembling them together, methods for testing the resulting assembly itself or the resulting assembly, methods for operating the assembled assembly, measuring the operational performance of the resulting assembly, or methods for improving the operational performance of the resulting assembly. However, it is not limited to these examples. Depending on the embodiment, such combination technology may also be called combination technology, cooperation technology, linking technology, or testing technology. However, hereinafter referred to as "combination technology."

[0116] On the other hand, the aforementioned bonding techniques can, in some cases, be classified as components of the target item, and the aforementioned components of the target item can also be classified as bonding techniques.

[0117] In this embodiment, the computer device (100) causes the contract to be concluded with the use rights of the searched target IP as the subject of the contract, while also reflecting the agreement between the IP rights holder (310) and the requesting party (410).

[0118] Herein, the aforementioned agreement may include, but is not limited to, a transfer agreement or license agreement for the searched target IP.

[0119] Furthermore, the aforementioned agreements may include, but are not limited to, at least one of the following: the transfer price of the searched target IP, the license fee, the method of payment of the license fee, the termination conditions of the license, the territory, the field of application of the license, the number of the claim to which the right of use is granted, and the transfer of know-how (technical assistance).

[0120] In the process of concluding a contract, the computer device (100) can perform the act of signing, specifically electronically signing, the matters agreed upon by the IP rights holder (310) and the requesting party (410). In addition, the computer device (100) can also perform the act of notarizing the contract thus concluded.

[0121] In the process of concluding such an agreement, a term sheet may be generated and provided to the IP rights holder (310) and the requesting party (410) respectively, as will be described later.

[0122] On the other hand, in concluding the aforementioned contract, an agreement must inevitably be reached between the IP rights holder (310) and the requesting party (410). However, because the interests of both parties (310, 410) are intertwined, an agreement between them may not be reached amicably. Therefore, in one embodiment, the computer device (100) can provide a solution to mediate between them, which will be described later.

[0123] As examined above, according to one embodiment, the requesting party can easily search for the IP necessary for the research, development, production, sale, or rental of the target item based on a query. Furthermore, the requesting party can easily conclude transfer or license agreements for the IP thus found with the rights holder of said IP without the assistance of professionals such as lawyers or patent attorneys.

[0124] Furthermore, IP rights holders can encourage more people to use their IP, and in some cases, they can earn additional revenue by allowing third parties to use IP that they themselves do not use or have no plans to use. This can encourage more people to take an interest in IP and attempt to acquire rights to it, thus allowing the IP trading market to grow quantitatively or qualitatively.

[0125] Furthermore, the search results generated by those requesting implementation can be utilized as business items with unique value, and since various people can be involved in the realization of such business items, it has the effect of creating employment.

[0126] Furthermore, during the IP transaction process, the IP rights holder can secure information about the target item of the requesting party, and in some cases, the IP rights holder or a third party may be willing to invest in such a target item. In other words, from the perspective of the requesting party, it is not only possible to secure the right to use the IP, but also to solicit investors for its target item through a server in one embodiment.

[0127] Below, we will examine this computer device (100) in more detail.

[0128] Figure 2 is an exemplary configuration diagram of a computer device (100) according to one embodiment. Referring to Figure 2, the computer device (100) includes a communication unit (110), memory (120), and a processor (130). However, the configuration diagram shown in Figure 2 is merely illustrative, and the concept of the present invention is not limited to the configuration diagram shown in Figure 2. For example, the computer device (100) may include at least one configuration not shown in Figure 2, or may not include at least one of the configurations shown in Figure 2.

[0129] The communication unit (110) can be implemented by a wired or wireless communication module. The computer device (100) can communicate with external terminals or servers, such as the codes 200, 300, or 400 shown in Figure 1, through such a communication unit (110).

[0130] Memory (120) can be implemented by a medium for storing information. Such a medium may be at least one of the following types of recording media: flash memory type, hard disk type, multimedia card micro type, card type memory (e.g., SD or XD memory), RAM (Random Access Memory), SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), magnetic memory, magnetic disk, or optical disk. However, it is not limited to these.

[0131] Various types of information can be stored in such memory (120). For example, information obtained by the computer device (100) from external entities (200, 300, 400) via the communication unit (110) can be stored in memory (120).

[0132] Specifically, the memory (120) can store IP information published by the IP information provision server (200). For storage, the computer device (100) can crawl the publicly available information on the IP information provision server (200). However, it is not limited to this. The memory (120) may store such IP information in its original form, or it may be stored after pre-processing. Pre-processing may include, if the published IP information is a registered patent publication, summarizing the entire content of such a registered patent publication, or summarizing each of the claims, effects of the invention, detailed description, and drawings. Of course, the types of pre-processing are not limited to these, and various types of processing that can be performed to save and retrieve documents are included in such pre-processing.

[0133] Furthermore, the memory (120) can store various types of information obtained from the IP rights holder terminal (300). Specifically, the memory (120) can store information that has been input by the IP rights holder (310) to the IP rights holder terminal (300) as described above. In particular, the memory (120) can store information about each IP rights holder's (310) IPs that are allowed to be searched as target IPs and IPs that should not be included in the search results as target IPs.

[0134] Furthermore, the memory (120) can store various types of information obtained from the requesting party terminal (400). Specifically, the memory (120) can store information that has been input by the IP rights holder (310) into the IP rights holder terminal (300), as described above.

[0135] On the other hand, the memory (120) can store information regarding the components of the target item, the combination technology for the components, the IP for the components of the target item, and the IP for the combination technology for the components. In this case, depending on the embodiment, this information can be combined into a single business package file.

[0136] Furthermore, the memory (120) can store the contents of a contract concluded between the IP rights holder (310) and the requesting party (410), for example, the contract itself, in the form of an electronic document, and depending on the embodiment, a term sheet that forms the basis of such contract contents can also be stored in the form of an electronic document.

[0137] In this embodiment, some of the information mentioned above, which is said to be stored in memory (120), can also be stored in the blockchain. Therefore, the system constituting the blockchain can be connected to the computer device (100) shown in Figure 1, or can be constructed to include such a computer device (100), although such a blockchain is not shown in Figure 1. The information stored in the blockchain will be described later.

[0138] On the other hand, the memory (120) may contain various types of modules or models. When such modules or models are executed by the processor (130), which will be described later, they perform their intended functions. For example, such modules or models may include a language model for searching for target IP, a module for creating term sheets, a module for concluding contracts, a mediation proposal recommendation module for recommending mediation proposals for requirements that do not match between the IP rights holder (310) and the requesting party (410), or a mediator recommendation module for recommending mediators.

[0139] At least one of the modules or models mentioned above may be implemented based on rules or an artificial intelligence network. Below, we will examine artificial intelligence networks and the like.

[0140] In this specification, a model or module may mean any form of computer program that operates on a network function, an artificial neural network, and / or a neural network. Throughout this specification, the terms model, neural network, network function, and neural network can be used interchangeably. A neural network is formed by one or more nodes interconnected through one or more links, forming input node-output node relationships within the neural network. The characteristics of a neural network can be determined by the number of nodes and links within the neural network, the relationships between nodes and links, and the weights assigned to each link. A neural network can consist of a set of one or more nodes. A subset of nodes that make up a neural network can constitute a layer.

[0141] A deep neural network (DNN) can refer to a neural network that includes multiple hidden layers in addition to the input and output layers. As illustrated in Figure 3, the intermediate hidden layers in a deep neural network consist of one or more, preferably two or more.

[0142] Such deep neural networks can include, for example, convolutional neural networks (CNN), vision transformers, recurrent neural networks (RNNs), LSTM (Long Short-Term Memory) networks, GPT (Generative Pre-trained Transformer), autoencoders, GANs (Generative Adversarial Networks), restricted Boltzmann machines (RBMs), deep belief networks (DBNs), Q networks, U networks, Siam networks, Generative Adversarial Networks (GANs), and transformers.

[0143] Alternatively, depending on the embodiment, the deep neural network may be a model trained using transfer learning. Here, transfer learning refers to a learning method in which a pre-trained model (or base unit) having a first task is obtained by pre-training a large amount of unlabeled training data using quasi-instructional learning or self-learning methods, and then the target model is implemented by training labeled training data using an instructional learning method in order to fine-tune the pre-trained model to fit a second task. One example of a model trained using such a transfer learning method is BERT (Bidirectional Encoder Representations from Transformers), but it is not limited to this.

[0144] In particular, an artificial intelligence model, specifically a language model, can be used for searching in one embodiment, which will be discussed later.

[0145] The description of the deep neural network above is merely an example, and this disclosure is not limited thereto. In the case of the convolutional neural network shown in Figure 4, it consists of a feature learning unit that extracts features from an image, and a classification unit that performs classification using the features thus extracted. The feature learning unit may include a convolutional layer that extracts features from an image using a kernel, a ReLU layer which is one of the activation functions, and a pooling layer to reduce the dimensionality of the data. However, it is not limited thereto. The classification unit may include a flatten layer which arranges the features extracted from the feature learning unit in a single line, and a fully connected layer and a softmax function which essentially perform the classification. However, it is not limited thereto.

[0146] A neural network can learn in at least one of the following ways: supervised learning, unsupervised learning, semi-supervised learning, self-supervised learning, or reinforcement learning. Learning a neural network may also be the process by which the neural network applies knowledge to perform a specific action.

[0147] Neural networks can learn in a way that minimizes the error in their output. Neural network learning involves iteratively inputting training data into the network, calculating the network's output and target error for the training data, and then backpropagating the network's error from the output layer to the input layer to update the weights of each node in the neural network in a way that reduces the error. In guided learning, labeled data with the correct answer labeled is used; in unguided learning, unlabeled data can be used. The amount of change in the linked weights of each node being updated can be determined according to the learning rate. The neural network's calculations for the input data and the backpropagation of errors constitute a learning cycle (epoch). The learning rate can be varied depending on the number of iterations of the neural network's learning cycle. To prevent overfitting, methods such as increasing the amount of training data, regularization, dropout (deactivating some nodes), and batch normalization layers can be applied.

[0148] On the other hand, a model disclosed in one embodiment may adopt at least a part of the transformer. The transformer may consist of an encoder that encodes embedded data and a decoder that decodes the encoded data. The transformer may have a structure that receives a series of data and outputs a series of different types of data through the encoding step and the decoding step. In one embodiment, the series of data may be processed into a form that the transformer can process. The process of processing the series of data into a form that the transformer can process may include an embedding process. Expressions such as data token, embedding vector, embedding token, etc., may refer to data that has been embedded in a form that the transformer can process.

[0149] To encode and decode a series of data, a transformer can utilize an attention algorithm for its encoder and decoder. An attention algorithm can be defined as an algorithm that calculates the similarity between a given query and one or more keys, reflects this similarity to each key and its corresponding value, and then calculates an attention value by weighting the values ​​that reflect the similarity.

[0150] Attention algorithms can be classified into various types depending on how the query, key, and value are set. For example, if attention is sought with the same query, key, and value, this can be called a self-attention algorithm. If attention is sought by reducing the dimensionality of the embedding vector to process a series of input data in parallel, and then finding a separate attention head for each divided embedding vector, this can be called a multi-head attention algorithm.

[0151] In one embodiment, the transformer may consist of modules that execute multiple multi-head self-attention algorithms or multi-head encoder-decoder algorithms. In one embodiment, the transformer may also include additional components that are not attention algorithms, such as embedding, normalization, and softmax. Methods for configuring the transformer using attention algorithms may include the method disclosed in Vaswanietal, Attention Is All You Need, 2017 NIPS, which is incorporated herein by reference.

[0152] A transformer can be applied to various data domains, such as embedded natural language, segmented image data, and audio waveforms, to convert a series of input data into a series of output data. To convert data with various data domains into a series of data that can be input to the transformer, the transformer can embed data. The transformer can process additional data that represents the relative positional or phase relationships between a series of input data. Alternatively, a series of input data can be embedded by additionally reflecting vectors that represent the relative positional or phase relationships between the input data. For example, the relative positional relationships between a series of input data can include, but are not limited to, the word order within a natural language sentence, the relative positional relationships of individual segmented images, or the time order of segmented audio waveforms. The process of adding information that represents the relative positional or phase relationships between a series of input data can be called positional encoding.

[0153] Furthermore, with reference to Figure 2, let us examine the processor (130). First, according to one embodiment, the processor (130) can perform the technical features of the embodiments of the present disclosure described later by executing at least one command stored in memory (120). In one embodiment, the processor (130) may consist of at least one core and may include a processor for data analysis and / or processing such as a central processing unit (CPU), a general-purpose graphics processing unit (GPGPU), or a tensor processing unit (TPU) of a computer device (100).

[0154] Such a processor (130) can train neural networks or models designed using machine learning or deep learning methods. To this end, the processor (130) can perform calculations for training neural networks, such as processing input data for training, extracting features from the input data, calculating errors, and updating the weight values ​​of the neural network using backpropagation.

[0155] Furthermore, the processor (130) can also perform inference under predetermined objectives using a model developed using an artificial neural network method.

[0156] The following describes the various operations and functions that the computer device (100) can perform when at least one command stored in memory (120) is executed by the processor (130).

[0157] First, the processor (130) can control the communication unit (110). This allows the computer device (100) to communicate with various entities (200, 300, 400) shown in Figure 1 through the communication unit (110) and acquire information.

[0158] Furthermore, the processor (130) can read the aforementioned data and commands stored in memory (120) and record new data and commands in memory (120). The processor (130) can also modify or delete already recorded data and commands. This will be examined in more detail below.

[0159] The computer device (100) obtains a query entered by the requester (410) from the requester terminal (400) by executing at least one command stored in memory (120) by the processor (130). Here, the query refers to a word that designates the target item. The target item may, but is not limited to, a product or a method or process. Such a target item refers to an object that the requester (410) intends to research, develop, produce, sell, use or rent.

[0160] Furthermore, when the processor (130) executes at least one command stored in memory (120), the computer device (100) searches for target IP used in at least one of the research, development, production, sales, use, and rental of the target item, based on the acquired query.

[0161] In the search process, the components of the target item are first searched. Then, IP (intellectual property) for each of the components found in this way is searched. Furthermore, combination techniques for combining each of the components are searched. Finally, IP for the combination techniques found in this way is searched. Of course, the search process may not be carried out in the order described above, and embodiments of the present invention may also include cases where the process is carried out in a different manner.

[0162] On the other hand, the search described above uses an artificial intelligence model, specifically a language model. A language model is a model generated based on human language. Such language models can be obtained in various ways. In one embodiment, a language model can be obtained using a transfer learning method. In transfer learning, as examined above, a large amount of unlabeled training data (e.g., a corpus) is pre-trained using a semi-instructional or self-learning method to obtain a pre-trained model (or base part) that has a first task. Subsequently, a process of fine-tuning is carried out to adapt the pre-trained model to a second task. In such fine-tuning, labeled training data is used for learning using an instructor learning method. In one embodiment, one of the models trained using this transfer learning method is (Bidirectional Encoder Representations from Transformers) or GPT (Generative Pre-trained Transformer), but it is not limited to these.

[0163] Here, such a language model in one embodiment may be chatGPT based on GPT-3 or GPT-4. Specifically, GPT-3 is the third generation of the GPT-n series of language prediction models produced by OpenAI. GPT-3 consists of 175 billion parameters, more than twice as many as the previous version, GPT-2, which was introduced in May 2020. It is part of a pre-trained natural language processing (NLP) system.

[0164] Tasks that GPT-3 can perform include solving various language-related problems, random writing, arithmetic operations, translation, simple web coding based on given texts, and dialogue.

[0165] In the case of a language model according to one embodiment, it may be pre-trained with a general language, or, as shown in Figure 5, it may be pre-trained (S200) based on at least one of a paper, a published patent document, and a published utility model document. Therefore, more specialized searches of IP become possible. This is because, when a pre-trained model is created using the MLM (Masked Language Model) or NSP (Next Sentence Prediction) method based on a paper, a published patent document, or a published utility model document, such a pre-trained model can acquire a language system related to IP documents.

[0166] Furthermore, in the fine-tuning of such language models, reinforcement learning by human feedback (RLHF) can be performed. RLHF refers to the use of information judged by a human for learning during fine-tuning. For example, during the RLHF fine-tuning process, a learning process using a dialogue set generated by a human and a learning process using rankings selected by a human for multiple outputs generated by the language model can be performed. More specifically, a Supervised Fine-Tuned Model (SFTSFT) is generated by a dialogue set generated by a human (S210), then the rankings selected by a human for the results output by such an SFT model are fed back to the model (RM, Reward Model) (S220), and then fine-tuning by Proximal Policy Optimization (PPO) is performed (S230). Here, fine-tuning by PPO refers to the reinforcement learning policy algorithm, which is an algorithm that continuously adjusts the current policy based on the work performed by the agent and the guarantees it receives. In this type of PPO, the process proceeds in the order of new prompt → PPO → Generate output → Calculate reward, but the Calculate reward is updated and provided again as a new prompt.

[0167] On the other hand, the execution of at least one command stored in memory (120) by the processor (130) may result in one or more target IPs being retrieved by the computer device (100). Specifically, if multiple target IPs are retrieved, such target IPs include IPs for each of the components of the target item and / or IPs for the coupling techniques used to combine such components.

[0168] Furthermore, the processor (130) executes at least one command stored in memory (120), causing the computer device (100) to enter into a contract that reflects the agreement between the IP rights holder (310) and the requesting party (410), while making the use rights of the searched target IP the subject of the contract.

[0169] Herein, the aforementioned agreement may include, but is not limited to, a transfer agreement or license agreement for the searched target IP.

[0170] Furthermore, the aforementioned agreements may include, but are not limited to, at least one of the following: the transfer price of the searched target IP, the license fee, the method of payment of the license fee, the termination conditions of the license, the scope, the field of application of the license, the number of the claim to which the usage rights are granted, and whether or not technical assistance is required.

[0171] In the process of concluding a contract, the computer device (100) can perform the act of signing, specifically electronically signing, the matters agreed upon by the IP rights holder (310) and the requesting party (410). Furthermore, the computer device (100) can also perform the act of notarizing the contract thus concluded.

[0172] In the process of concluding such an agreement, a term sheet may be generated and provided to the IP rights holder (310) and the requesting party (410), respectively, as will be discussed later.

[0173] On the other hand, in concluding the aforementioned contract, an agreement must inevitably be reached between the IP rights holder (310) and the requesting party (410). However, since the interests of both parties (310, 410) are intertwined, an agreement between them may not be reached amicably. Therefore, in one embodiment, the computer device (100) can provide a solution for mediating the agreement between them, which will be described later.

[0174] In the following, we will examine a method for searching for a target IP for a target item according to one embodiment that can be executed by such a computer device (100).

[0175] Figure 6 illustrates a flowchart of a method for finding a target IP for an item according to one embodiment. Herein, such a flowchart is illustrative and the concept of the present invention is not limited thereto. For example, the steps may be performed in a different order than shown in Figure 6 depending on the embodiment, or at least one additional step not shown in Figure 6 may be performed, or at least one of the steps shown in Figure 6 may not be performed.

[0176] Referring to Figure 6, step (S1000) is executed to obtain a query that specifies the target item (designating query).

[0177] Furthermore, based on the query, a step (S1100) is performed to search for a plurality of target IPs used in at least one of the research, development, and production of the target item. In this case, the plurality of target IPs include IPs for each of at least two components of the components of the target item and / or IPs for coupling technologies used to combine the components for the performance, operation, production, and use of the target item.

[0178] Furthermore, although not shown in Figure 6, a step is taken to conclude a contract that includes the right to use the searched target IP, while also reflecting the agreement between the rights holder of the target IP and the requesting party.

[0179] As examined above, according to one embodiment, the requesting party can easily search for the IP necessary for the research, development, production, sale, or rental of the target item based on a query. Furthermore, the requesting party can easily conclude transfer or license agreements for the IP thus found with the rights holder of the IP without the assistance of professionals such as lawyers or patent attorneys.

[0180] Furthermore, IP rights holders can encourage more people to use their IP, and in some cases, they can earn additional revenue by allowing third parties to use IP that they themselves do not use or have no plans to use. This can encourage more people to take an interest in IP and attempt to acquire rights to it, thus allowing the IP trading market to grow quantitatively or qualitatively.

[0181] Furthermore, the search results generated by those requesting implementation can be utilized as business items with unique value, and since various people can be involved in the realization of such business items, it has the effect of creating employment.

[0182] Furthermore, during the IP transaction process, the IP rights holder can secure information about the target item of the requesting party, and in some cases, the IP rights holder or a third party may be willing to invest in such a target item. In other words, from the requesting party's perspective, they can not only secure the right to use the IP, but also solicit investors for their target item through a server in one embodiment.

[0183] The following describes a task related to concluding an IP contract performed by a computer device (100) according to one embodiment. This is merely illustrative, and the concept of the present invention should not be interpreted as being limited thereto.

[0184] Figure 7 illustrates the search results obtained in response to a query for a target item using a computer device according to one embodiment. Referring to Figure 7, the query from the requesting party (410) is transmitted to the computer device (100). Such a query refers to a word that designates the target item. The target item may be a product or a method or process, but is not limited to these. Such a target item refers to an object that the requesting party (410) uses for research, development, production, sales, use, or rental, etc.

[0185] Then, the computer device (100) searches for target IPs used in at least one of the research, development, production, sales, use, and rental of the target item based on the acquired query, and transmits the results to the requesting party's (410) terminal (400).

[0186] At this time, the search process can be carried out in various ways. One such method is shown in Figure 8.

[0187] Referring to Figure 8, step (S1110) is performed to search for the components of the target item based on the query of the requester (410). Whether or not the target item contains certain components can be searched using a language model, but is not limited to this.

[0188] Furthermore, a step (S1111) is performed to search for combination techniques for combining the components that have been searched in this manner. Such combination techniques can also be searched by the language model. In the search, for example, if the query "combination techniques for combining the 'previously searched components' for the performance, operation, production, or use of the target item" is input to the language model, combination techniques can be searched as a result. At this time, the step (S1111) of searching for such combination techniques can be performed by the requester (410), or it can be performed by a processor (130) according to one embodiment.

[0189] This allows you to retrieve IP for each of the components or each of the combined technologies that have been searched in this way.

[0190] On the other hand, target IP in search results can include patents or utility models. Specifically, target IP may be a patent or utility model whose claims describe at least one of the components of the target item and a combined technology of such components. One reason why a licensee is transferred or licensed IP from an IP owner is to avoid infringing the IP owner's IP. Here, "infringement" means that if the IP is a patent or utility model, the implementation of the components of the target item or the combined technology includes all the components described in the claims of the patent or utility model. Therefore, target IP that is searched can also include patents or utility models whose claims describe at least one of the components of the target item and a combined technology. This is illustrated in Figure 9. Referring to Figure 9, of patents 1 to 3, patents 1 and 2, whose claims include components A, B, or combined technology C of the target item, can be searched as target IP. However, patent 3, whose claims include D, which is neither a component of the target item nor a combined technology, may not be searched as target IP.

[0191] Here, depending on the embodiment, a step may be performed to select patents such as Patent 3 described above, that is, patents or utility models whose claims describe additional components not included in the target item, or which describe a combination technology different from the combination technology of the said components. Patents selected in this way can be controlled so as not to be searched as target IP. This is because, in the case of patents or utility models selected in this way, even if the applicant (410) implements them, it will not infringe the rights of the IP rights holder (310). In this case, whether it is an additional component or a different combination technology may be determined by input from the applicant (410).

[0192] However, in some cases, these selected patents can be used as reference technologies by the applicant (410). This is because the applicant (410) can gain insights from these selected patents regarding aspects that they (410) had not considered. Let's examine this further with reference to Figure 10.

[0193] Referring to Figure 10, a step (S1112) can be performed to select patents in which the claims describe additional components not included in the target item, or which describe a bonding technique different from the bonding technique of the components.

[0194] Furthermore, the step (S1113) of presenting the selected patents to the requesting party as reference technologies in the research or development of the target item can be performed.

[0195] Furthermore, when a search request for the reference technology is received from the requesting party, the step (S1114) of searching for IP including the additional component and at least one of the different combined technologies can be performed.

[0196] In other words, according to Figure 10, the requester (410) can be provided with information on IP that is not typically included in the target item but can be used as reference technology.

[0197] On the other hand, some IP rights holders (310) may prefer that their IPs not be searchable. This includes IP rights holders (310) who have no intention of transferring or licensing their IPs. Alternatively, if a 310 owns multiple IPs, they may only intend to transfer or license some of them.

[0198] Therefore, in one embodiment, a step can be performed to obtain information from the IP rights holder (310) regarding IPs that may be included in the search results or IPs that should not be included in the search results. In this case, the multiple target IPs as search results may be found from among the IPs that may be included in the search results.

[0199] On the other hand, the aforementioned queries can include wording that specifies an improvement in the performance of the target item. For example, wording such as "improved amplification efficiency," "improved sensitivity or specificity," or "improved communication efficiency" can be included in the query along with wording that specifies the target item.

[0200] In this case, the search step can search for target IPs, including patents and utility models, in the section describing the effects of the invention that contains at least one of such wording and / or semantic synonyms of such wording. This is illustrated in Figure 11. Referring to Figure 11, patents 1 or 2 that contain "wording signifying performance improvement" or "wording signifying performance improvement and semantic synonyms" in the section describing the effects of the invention can be searched for as target IPs.

[0201] Alternatively, the above queries may include quantitative metric wording that represents the performance of the target item. For example, wording such as "10% improvement in amplification efficiency," "20% improvement in sensitivity," or "50% improvement in communication efficiency" may be included in the query along with wording that specifies the target item.

[0202] In this case, the search step allows for the search of target IPs (IPs) where the performance of the target item extracted from the section describing the effects of the invention meets the scope limited by quantitative indicator wording, as illustrated in Figure 12. At this time, the extraction of information regarding the performance of the target item from the effects of the invention, and whether or not the extracted performance meets the scope limited by quantitative indicator wording, can be determined by the language model described above.

[0203] In this case, patents and utility models whose performance of the target item extracted from the section describing the effects of the invention exceeds the scope limited by the quantitative indicator wording can also be searched as target IP depending on the embodiment. For example, if a patent or utility model states in the detailed description of the invention that the performance of the target item is not limited to what is described in the detailed description of the invention or the effects of the invention, then it may be IP necessary for the use of the applicant (410), which is illustrated in Figure 13. To this end, in one embodiment, the above-described language model can be used to determine from the content of the section describing the detailed description of the invention if the IP is a patent or utility model whether or not it contains a statement that the performance of the target item is not limited to what is described in the detailed description of the invention or the effects of the invention.

[0204] On the other hand, Figure 14 illustrates an example of a contract concluded between an IP rights holder and a licensee requesting the use of said IP, using a computer device according to one embodiment. Referring to Figure 14, the contract illustrates which IPs are licensed for in each country. In other words, according to one embodiment, a contract is concluded between the IP rights holder (310) and the licensee requeste (410) through a computer device (100), and a contract in electronic document form is created. Here, the step of concluding the contract may include at least one of the steps of obtaining electronic signatures from the rights holder of the target IP and the licensee, respectively, and obtaining notarization of the concluded contract.

[0205] On the other hand, the aforementioned agreement may include, but is not limited to, a transfer agreement or license agreement for the searched target IP.

[0206] Furthermore, the aforementioned agreements may include, but are not limited to, at least one of the following: the transfer price of the searched target IP, the license fee, the method of payment of the license fee, the termination conditions of the license, the scope, the field of application of the license, the number of the claim to which the usage rights are granted, and whether or not technical assistance is required. An example of such an agreement is shown illustratively in Figure 15.

[0207] On the other hand, in one embodiment, a term sheet may be generated by an embodiment of the process of concluding such a contract and provided to the IP rights holder (310) and the requesting party (410). A term sheet is a document in which the parts desired by each party to the contract are described, and this is illustrated exemplified in Figure 16. To this end, the steps of obtaining requests from the rights holder of the target IP and the requesting party, and generating a term sheet summarizing the obtained requests and providing it to the rights holder of the target IP and the requesting party, can be carried out. In this case, such a term sheet may distinguish between the requests obtained from both parties that are in agreement and those that are not. Therefore, both parties to the contract can quickly and accurately identify the parts where their opinions need to be reconciled through such a term sheet.

[0208] On the other hand, in concluding the aforementioned contract, an agreement must inevitably be reached between the IP rights holder (310) and the requesting party (410). However, because the interests of both parties (310, 410) are intertwined, an agreement between them may not be reached amicably. Therefore, in one embodiment, the computer device (100) can also provide a solution for mediating between them.

[0209] For example, a mediator recommendation model trained on the artificial intelligence network described above can be provided by a computer device (100). Such a mediator recommendation model is trained to recommend a mediator (mediator) who will mediate the requirements between the rights holder of the target IP and the requesting party. Therefore, the agreements included in the contract may be derived from the mediator recommended by such a mediator recommendation model.

[0210] Here, such a mediator recommendation model may be trained using a guided learning method. The training data may include at least one of the mediator's specialization, each mediator's mediation success rate by technical field, and the past agreement tendencies of the rights holder and the requesting party of the target IP.

[0211] Alternatively, a mediation proposal recommendation model, trained based on the artificial intelligence network described above, may be provided by a computer device (100). Such a mediation proposal recommendation model is trained to recommend a mediation proposal that mediates the requirements between the rights holder of the target IP and the requesting party. Thus, the agreements included in the contract may include a mediation proposal recommended by such a mediation proposal recommendation model.

[0212] Here, such a mediation proposal recommendation model may be one that has been trained using an instructional learning method. The training data may include information where the opinions of the parties do not coincide, as well as the proposed mediation solution in such cases. However, it is not limited to this.

[0213] On the other hand, according to one embodiment, various information generated by the computer device (100) can be stored on a blockchain. In the case of a blockchain, due to its characteristics, it is not easy to forge or alter it. Also, in the case of a private blockchain, it is superior in terms of security. Therefore, according to one embodiment, the contents of a contract concluded by the computer device (100) can be reflected on a predetermined blockchain. Furthermore, when the above-mentioned business package file is generated, that is, a business package file containing information on the components of the target item, the technology for combining the components, the IP for the components of the target item, and the IP for the technology for combining the components, such a business package file can also be reflected on the blockchain. Figure 17 illustrates how the above-mentioned contents are reflected on the blockchain. In the case of such a business package file, it can be bought and sold on a predetermined business item trading platform, so the computer device (100) according to one embodiment can control such a business package file so that it can be bought and sold on the above-mentioned business item trading platform, and at this time, the contents of the contract when the business package file is bought and sold can also be reflected on such a blockchain.

[0214] On the other hand, according to one embodiment, in the process of concluding a contract between the requesting party (410) and the IP rights holder (310) through a computer device (100), the license fee for the IP must be determined. To this end, as described above, the IP rights holder (310) can first input their desired license fee using their terminal (300). Furthermore, as examined above, in this process, at least one of the transfer amount and the maximum, minimum, and average amounts of the license fee is provided to the IP rights holder (310) from the computer device (100) as reference information based on statistics or artificial intelligence.

[0215] On the other hand, the requesting party (410) may need usage rights for at least two IPs in order to use the target item, and in this case, a license may be required for each of them. In this case, depending on the characteristics of the requesting party's target item, the importance of each of the components and combination technologies of such a target item may be relative to one another. Therefore, in one embodiment, the upper limit of the license fee can be determined depending on the relative importance of each component and combination technology in the target item. The license fee for each IP may then be determined at least in part based on the upper limit of the license fee determined in this way, for example, so as not to exceed the upper limit of the license fee.

[0216] Upon closer examination, it becomes clear that the relative importance of each component and combining technology can be ranked using several methods. For example, each component and combining technology can be ranked based on at least one of the following: the number of IPs owned by the IP rights holder for similar technologies, the number of citations of the IP, the existence or number of papers related to the IP, or the existence or number of licenses set for the IP. There are various methods for ranking, and rule-based methods can be used, but are not limited to these.

[0217] Once the rankings are assigned in this way, the upper limit of the license fee can be determined in proportion to the assigned ranking. Then, the license fee for each component or combined technology can be determined in accordance with the upper limit determined in this way.

[0218] As examined above, according to one embodiment, the requesting party can easily search for the IP necessary for the research, development, production, sale, or rental of the target item based on a query. Furthermore, the requesting party can easily conclude transfer or license agreements for the IP thus found with the rights holder of said IP without the assistance of professionals such as lawyers or patent attorneys.

[0219] Furthermore, IP rights holders can encourage more people to use their IP, and in some cases, they can earn additional revenue by allowing third parties to use IP that they themselves do not use or have no plans to use. This can encourage more people to take an interest in IP and attempt to acquire rights to it, thus allowing the IP trading market to grow quantitatively or qualitatively.

[0220] Furthermore, the search results generated by those requesting implementation can be utilized as business items with unique value, and since various people can be involved in the realization of such business items, it has the effect of creating employment.

[0221] Furthermore, during the IP transaction process, the IP rights holder can secure information about the target item of the requesting party, and in some cases, the IP rights holder or a third party may be willing to invest in such a target item. In other words, from the requesting party's perspective, they can not only secure the right to use the IP, but also solicit investors for their target item through a server in one embodiment.

[0222] On the other hand, the methods according to the various embodiments described above can be implemented in the form of a computer program stored on a computer-readable recording medium programmed to perform each step of such a method, and can also be implemented in the form of a computer-readable recording medium storing a computer program programmed to perform each step of such a method.

[0223] The above description is merely illustrative of the technical concept of the present invention, and any person with ordinary skill in the art to which the present invention pertains can make various modifications and alterations without departing from the essential quality of the present invention. Therefore, the embodiments disclosed herein are for illustrative purposes only, not to limit the technical concept of the present invention, and the scope of the technical concept of the present invention is not limited by such embodiments. The scope of protection of the present invention should be interpreted in accordance with the following claims, and all technical concepts within an equivalent scope should be interpreted as being included within the scope of the rights of the present invention.

Claims

1. A method for searching for a target IP address for a target item, performed by a computer device, Step 1: Obtain a query that specifies the target item (designing query); and The step of searching for a plurality of target IPs used in at least one of the research, development, and production of the target item based on the query, The plurality of target IPs include IP relating to each of at least two components of the target item and IP relating to the performance, operation, production, and combination techniques of the at least two components used for the production and use of the target item. A method for searching for the target IP address of a specific item.

2. The aforementioned search step is, A step of searching for the components of the target item based on the query; A step of searching for a target IP that contains at least one of the searched components; A step of searching for the combined technology using the technology for combining the aforementioned components as a query; and The step includes searching for target IP that describes the aforementioned combined technology, A method for searching for a target IP address for the target item described in claim 1.

3. In the aforementioned search step, A patent whose claims describe at least one of the components of the target item and a technology for combining the components is searched as the target IP. A method for searching for a target IP address for the target item described in claim 1.

4. The target IP search method for the aforementioned target item is: The process further includes the step of selecting patents whose claims describe additional components not included in the subject item, or patents that describe a combination technique different from the combination technique of the components, In the aforementioned search step, The selection of patents is controlled so that none of the multiple target IPs are included. A method for searching for a target IP address for the target item described in claim 1.

5. The additional components and at least one of the different coupling technologies are determined based on input from the requester of the target IP. A method for searching for a target IP address for the target item described in claim 4.

6. A step of selecting patents in which the patent claims describe additional components not included in the subject item, or describe a combination technique different from the combination technique of the components; The steps include: presenting the selected patents to the person requesting the implementation of the target IP as reference technology in the research or development of the target item; and When a search request for the reference technology is received from the requesting party, the further step includes searching for IP that includes the additional components and at least one of the different combined technologies. A method for searching for a target IP address for the target item described in claim 1.

7. The target IP search method for the aforementioned target item is: The search step further includes obtaining information about IPs that can be searched as the target IP and IPs that should not be included in the search results, The aforementioned multiple target IPs are, This is the IP found among the IPs corresponding to the searchable information as the aforementioned target IP. A method for searching for a target IP address for the target item described in claim 1.

8. The query includes wording that specifies performance improvement for the target item. In the aforementioned search step, A patent is searched as the target IP if the section describing the effects of the invention contains at least one of the wording and a semantic synonym of the wording. A method for searching for a target IP address for the target item described in claim 1.

9. The query includes quantitative metric wording that represents the performance of the target item. In the aforementioned search step, A patent is searched as the target IP in which the performance of the target item extracted from the section describing the effects of the invention satisfies the range limited by the quantitative indicator wording. A method for searching for a target IP address for the target item described in claim 1.

10. In the aforementioned search step, A patent in which the performance of the subject item extracted from the section describing the effects of the invention falls outside the scope limited by the quantitative indicator wording, but the detailed description of the invention states that the performance of the subject item is not limited to what is described in the detailed description of the invention or the effects of the invention, is searched as the target IP. A method for searching for a target IP address for the target item described in claim 9.

11. The aforementioned target IP is, This includes at least one of the following: registered patents, published patents, registered utility models, published utility models, registered trademarks, published trademarks, registered designs, published designs, copyrights, software, and know-how. A method for searching for a target IP address for the target item described in claim 1.

12. In the aforementioned search step, The language model, upon receiving the aforementioned query input, searches for and provides the multiple target IPs. A method for searching for a target IP address for the target item described in claim 1.

13. The aforementioned language model was trained by fine-tuning a model that had been pre-trained based on at least one of the following: a research paper, a patent publication, and a utility model publication. A method for searching for a target IP address for the target item described in claim 12.

14. In the aforementioned fine adjustment, This was a reinforcement learning (RLHF) study using human feedback. A method for searching for a target IP address for the target item described in claim 13.

15. In the reinforcement learning using the aforementioned human feedback, A learning process is performed using a dialogue set generated by a human, and a learning process is performed using a ranking selected by a human for multiple outputs generated by the language model. A method for searching for a target IP address for the target item described in claim 14.

16. The process further includes the step of concluding a contract that includes the right to use the searched target IP and reflects the agreement between the rights holder of the target IP and the requesting party, A method for searching for a target IP address for the target item described in claim 1.

17. The aforementioned contract is, Including a transfer agreement or license agreement for the aforementioned searched target IP, A method for searching for a target IP address for the target item described in claim 16.

18. The aforementioned agreements are, The above searched target IP includes at least one of the following: the transfer price, license fee, method of payment of the license fee, license termination conditions, territory, field of application of the license, the number of the claim to which the right of use is granted, and whether or not technical assistance is required. A method for searching for a target IP address for the target item described in claim 16.

19. The aforementioned agreements are, This was entered by the rights holder of the aforementioned target IP. A method for searching for a target IP address for the target item described in claim 16.

20. Based on statistics or artificial intelligence, at least one of the maximum, minimum, and average amounts of the transfer amount or the license fee is provided to the rights holder of the target IP as reference information. A method for searching for a target IP address for the target item described in claim 18.

21. The target IP search method for the aforementioned target item is: The process further includes a step in which a mediator who mediates the requirements between the rights holder and the requester of the aforementioned target IP is recommended by a trained mediator recommendation model, The aforementioned agreements are, The mediation was conducted by a mediator recommended by the aforementioned mediator recommendation model. A method for searching for a target IP address for the target item described in claim 16.

22. The aforementioned mediator recommendation model is Mediators are recommended based on each mediator's area of ​​expertise, each mediator's success rate in mediation by technical field, and at least one of the past agreement tendencies of the rights holder and the requesting party of the target IP. A method for searching for a target IP address for the target item described in claim 21.

23. The target IP search method for the aforementioned target item is: The process further includes a step in which a mediation proposal for mediating the demands between the rights holder and the requester of the aforementioned target IP is recommended by a trained mediation proposal recommendation model, The aforementioned agreements are, Including mediation proposals recommended by the aforementioned mediation proposal recommendation model, A method for searching for a target IP address for the target item described in claim 16.

24. The steps of obtaining requests from the rights holder of the target IP and the requesting party; and The process further includes the step of generating a term sheet containing the aforementioned requests and providing it to the rights holder of the target IP and the requesting party, respectively. A method for searching for a target IP address for the target item described in claim 1.

25. The aforementioned term sheet includes: Of the requests obtained, those for which mutual opinions were agreed and those for which mutual opinions were not agreed are listed separately. A method for searching for a target IP address for the target item described in claim 24.

26. The further step includes reflecting the contents of the aforementioned concluded contract onto a designated blockchain. A method for searching for a target IP address for the target item described in claim 16.

27. The target IP search method for the aforementioned target item is: A step of obtaining relative importance information for each of the components of the target item and the coupling technology; and The step further includes determining an upper limit on the license fee for each of the components and the combined technology, depending on the relative importance obtained, The aforementioned multiple target IPs are, The license fee is determined at least in part based on the aforementioned upper limit and the license fee predetermined by the IP rights holder. A method for searching for a target IP address for the target item described in claim 1.

28. In the aforementioned search step, two or more candidate IPs are searched for each of the components of the target item and the coupling technology. The target IP search method for the aforementioned target item is: The process further includes ranking two or more candidate IPs found for each of the components of the target item and the combination technology, The ranking of the aforementioned candidate IPs is: The designation is based on at least one of the following: the number of IPs held by the IP rights holder for similar technologies, the number of times the IP has been cited, the existence or number of papers relating to the IP, or the existence or number of licenses set for the IP. A method for searching for a target IP address for the target item described in claim 1.

29. The steps include generating a business package file that includes information on the components of the target item, the combination technology for the components, the IP relating to the components of the target item, and the IP relating to the combination technology for the components; and further including controlling the generated business package file so that it can be bought and sold on a business item trading platform. A method for searching for a target IP address for the target item described in claim 1.

30. The step further includes reflecting the aforementioned business package file on a predetermined blockchain, A method for searching for a target IP address for the target item described in claim 29.

31. The aforementioned blockchain is It is characterized by being a private blockchain accessible only to the entity that acquired the aforementioned business package file. A method for searching for a target IP address for the target item described in claim 30.

32. The aforementioned blockchain includes, The contract details regarding the sale of the aforementioned business package file are described below. A method for searching for a target IP address for the target item described in claim 30.

33. In the step of concluding the aforementioned contract, The steps include obtaining electronic signatures from the rights holder of the target IP and the requesting party, respectively; and obtaining notarization of the concluded agreement, A method for searching for a target IP address for the target item described in claim 16.

34. A computer program stored on a computer-readable recording medium, which is executed to include each step included in any one of claims 1 to 33.

35. A computer-readable recording medium for storing a computer program that is executed to include each of the steps included in any one of claims 1 to 33.

36. Memory to store at least one command; and Including the processor, When at least one of the aforementioned commands is executed by the processor, a query specifying the target item (designing query) is obtained. Based on the query, a plurality of target IPs are retrieved that are used in at least one of the research, development, and production of the target item, and the plurality of target IPs include IPs relating to each of at least two components of the components of the target item and IPs relating to the combination technology of the at least two components used for the performance, operation, production, and use of the target item. Computer device.

37. In the aforementioned search of multiple target IPs, A patent whose claims describe at least one of the components of the target item and a technology for combining the components is searched as the target IP. The computer device according to claim 36.

38. The execution of at least one of the aforementioned commands by the processor, Patents are selected in which the claims describe additional components not included in the subject item, or describe a bonding technique different from the bonding technique of the components. In the aforementioned search of multiple target IPs, The selection of patents is controlled so that none of the multiple target IPs are included. The computer device according to claim 36.

39. The additional components and at least one of the different coupling technologies are determined based on input from the requester of the target IP. The computer device according to claim 36.

40. Patents are selected in which the claims describe additional components not included in the subject item, or describe a combination technology different from the combination technology of the components; the selected patents are presented to the applicant for the target IP as reference technologies in the research or development of the subject item; and when a search request for the reference technologies is received from the applicant, IPs containing at least one of the additional components and the different combination technologies are searched. The computer device according to claim 36.

41. The execution of at least one of the aforementioned commands by the processor, Information is obtained regarding IPs that can be searched as the target IP and IPs that should not be included in the search results. The aforementioned multiple target IPs are, The search results were not found among the IP addresses that should not be included in the search results, but rather among the searchable IP addresses. The computer device according to claim 36.

42. The query includes wording that specifies performance improvement for the target item. In the aforementioned search, A patent is searched as the target IP if the section describing the effects of the invention contains at least one of the wording and a semantic synonym of the wording. The computer device according to claim 36.

43. The query includes quantitative metric wording that represents the performance of the target item. In the aforementioned search, Patents whose performance of the target item extracted from the section describing the effects of the invention satisfies the range limited by the quantitative indicator wording are searched as the target IP. The computer device according to claim 36.

44. In the aforementioned search, A patent in which the performance of the subject item extracted from the section describing the effects of the invention falls outside the scope limited by the quantitative indicator wording, but the detailed description of the invention states that the performance of the subject item is not limited to what is described in the detailed description of the invention or the effects of the invention, is searched as the target IP. The computer device according to claim 43.

45. The aforementioned target IP is, This includes at least one of the following: registered patents, published gazettes, registered utility models, published utility models, registered trademarks, published trademarks, registered designs, published designs, copyrights, software, and know-how. The computer device according to claim 36.

46. In the aforementioned search, The language model, upon receiving the aforementioned query input, searches for and provides the multiple target IPs. The computer device according to claim 36.

47. The aforementioned language model, The model was trained by fine-tuning a model that had been pre-trained based on at least one of the following: a research paper, a published patent document, and a published utility model document. The computer device according to claim 46.

48. In the aforementioned fine adjustment, This was a reinforcement learning (RLHF) study using human feedback. The computer device according to claim 47.

49. In the reinforcement learning using the aforementioned human feedback, A learning process is performed using a dialogue set generated by a human, and a learning process is performed using a ranking selected by a human for multiple outputs generated by the language model. The computer device according to claim 48.

50. In the aforementioned search, Based on the query, the components of the target item are searched, and a target IP containing at least one of the searched components is searched. The combination technology is searched using the technology for combining the aforementioned components as a query. The target IP containing the aforementioned combined technology is searched. The computer device according to claim 36.

51. When at least one of the aforementioned commands is executed by the processor, A contract is concluded that includes the right to use the searched target IP as the subject of the contract, while also reflecting the agreement between the rights holder of the target IP and the requesting party. The computer device according to claim 36.

52. The aforementioned contract is, Including a transfer agreement or license agreement for the aforementioned searched target IP, The computer device according to claim 51.

53. The aforementioned agreements are, The above includes at least one of the following: the transfer price of the searched target IP, the license fee, the method of payment of the license fee, the termination conditions of the license, the territory, the field of application of the license, the number of the claim to which the right of use is granted, and whether or not technical assistance is required. The computer device according to claim 51.

54. The aforementioned agreements are, This was entered by the rights holder of the aforementioned target IP. The computer device according to claim 51.

55. Based on statistics or artificial intelligence, at least one of the maximum, minimum, and average amounts of the transfer amount or the license fee is provided to the rights holder of the target IP as reference information. The computer device according to claim 53.

56. When at least one of the aforementioned commands is executed by the processor, a mediator who mediates the claims between the rights holder and the requester of the target IP is recommended by a trained mediator recommendation model. The aforementioned agreements are, The mediation was conducted by a mediator recommended by the aforementioned mediator recommendation model. The computer device according to claim 51.

57. The aforementioned mediator recommendation model is Mediators are recommended based on each mediator's area of ​​expertise, each mediator's success rate in mediation by technical field, and at least one of the past agreement tendencies of the rights holder and the requesting party of the target IP. The computer device according to claim 56.

58. When at least one of the aforementioned commands is executed by the processor, a mediation proposal for mediating the demands between the rights holder and the requester of the target IP is recommended by a trained mediation proposal recommendation model. The aforementioned agreements are, Including mediation proposals recommended by the aforementioned mediation proposal recommendation model, The computer device according to claim 51.

59. The requests are obtained from the rights holder of the aforementioned target IP and the person requesting the implementation, A term sheet is generated containing the aforementioned requests and provided to the rights holder of the target IP and the requesting party, respectively. The computer device according to claim 36.

60. The aforementioned term sheet includes: Of the requests obtained, those for which mutual opinions were agreed and those for which mutual opinions were not agreed are listed separately. The computer device according to claim 59.

61. The contents of the aforementioned concluded contract will be reflected on the designated blockchain. The computer device according to claim 51.

62. The execution of at least one of the aforementioned commands by the processor, Relative importance information is obtained for each of the components of the target item and the coupling technology. Depending on the relative importance obtained, the upper limit of the license fee for each of the components and the combined technology is determined. The aforementioned multiple target IPs are, The license fee is determined at least in part based on the aforementioned upper limit and the license fee predetermined by the IP rights holder. The computer device according to claim 36.

63. In the search described above, two or more candidate IPs are found for each of the components of the target item and the coupling technology. The execution of at least one of the aforementioned commands by the processor results in rankings being assigned to two or more candidate IPs found for each of the components of the target item and the coupling technology. The ranking of the aforementioned candidate IPs is: The designation is based on at least one of the following: the number of IPs held by the rights holder of the IP for similar technologies, the number of times the IP has been cited, the existence or number of papers relating to the IP, or the existence or number of licenses set for the IP. The computer device according to claim 36.

64. A business package file is generated that includes information on the components of the target item, the technology for combining the components, the IP related to the components of the target item, and the IP related to the technology for combining the components. The generated business package file is then controlled to be traded on a business item trading platform. The computer device according to claim 36.

65. The aforementioned business package file will be reflected on a designated blockchain. The computer device according to claim 64.

66. The aforementioned blockchain is It is characterized by being a private blockchain accessible only to the entity that acquired the aforementioned business package file. The computer device according to claim 65.

67. The aforementioned blockchain includes, The contract details regarding the sale of the aforementioned business package file are described below. The computer device according to claim 65.

68. In the step of concluding the aforementioned contract, The steps include obtaining electronic signatures from the rights holder of the target IP and the requesting party, respectively; and obtaining notarization of the concluded agreement, The computer device according to claim 51.

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