Matching system, matching program, matching method, and user terminal

Abstract

To provide a matching system that takes elements other than a result of communication between related parties into consideration.SOLUTION: A matching system comprises: a reception part 120 which receives body odor information showing a body odor of a first user; a derivation system 124 which refers to a database 106, stored with a plurality of pieces of body odor information showing body odors of a plurality of other users, so as to derive a user who has a body odor higher adaptive to the body odor information that the reception part 120 receives among the plurality of other users by the use of AI; and a transmission part 122 which transmits the information on the user derived by the derivation system to the first user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a matching system, a matching program, a matching method, and a user terminal. [Background technology]

[0002] BACKGROUND ART Conventionally, various systems have been known for matching people for the purpose of meeting or marrying them via a network such as the Internet (for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-029337 Summary of the Invention [Problem to be solved by the invention]

[0004] In conventional systems, the success or failure of a match depended primarily on the results of communication between the parties, such as through email exchanges or conversations (online or in person).

[0005] The present disclosure aims to provide a matching system that takes into account factors other than the results of communication between the parties involved. [Means for solving the problem]

[0006] According to one aspect of the present disclosure, the system includes a body odor information receiving unit that receives body odor information indicating the body odor of a first user, a derivation system that, in response to the input of the body odor information, uses AI to refer to a database that stores multiple pieces of body odor information indicating the body odors of multiple other users and derives from the multiple other users a user whose body odor is highly compatible with the body odor information received by the body odor information receiving unit, and a user information sending unit that sends the user information derived by the derivation system to the first user. [Brief explanation of the drawings]

[0007] [Figure 1] An overview of the matching system is shown below. [Figure 2] FIG. 1 is a flow chart showing a series of operations of the matching system. DETAILED DESCRIPTION OF THE INVENTION

[0008] The following describes embodiments of the present disclosure. Systems according to the embodiments are merely illustrative, and each configuration can be modified as appropriate without departing from the spirit of the present disclosure. In particular, the following embodiments will be described in detail, clearly illustrating the hardware and functional blocks for implementing the system. However, it is clear that the functions realized by each piece of hardware can be modified as appropriate within the spirit of the present disclosure. It is also clear that each functional block can be implemented by the same hardware or software, or by different hardware or software. In the following description, it is assumed that a control program installed in the system controls each piece of hardware. Furthermore, while the term "system" is used below, a system may be a closed system that achieves its functions within independent hardware, or an open system that achieves its functions in cooperation with other hardware. In other words, the term "system" is merely a conceptual expression for achieving a required function.

[0009] Figure 1 shows an overview of the matching system. Based on the body odor of a user (first user) transmitted from a user terminal, the matching system derives users (hereinafter referred to as "second users" for convenience) who have a body odor highly compatible with the first user. The matching system uses machine learning results when deriving highly compatible users. Note that "high compatibility" does not mean high compatibility according to biological (scientific) analysis results, but is a concept closer to a rule of thumb derived from past statistics, etc. (actually, a judgment result using machine learning results). Simply put, this system determines whether a person has a high compatibility based on the rule of thumb that a person with a certain body odor is highly compatible (compatible) with a person with a certain body odor.

[0010] 1, the system 100 includes a user terminal 102, a matching system 104, and a database 106. The user terminal 102, the matching system 104, and the database 106 are communicatively connected via a network 108.

[0011] The user terminal 102 is configured by an information processing device with a screen, such as a user's personal computer, a smartphone, etc. Specifically, the user terminal 102 includes a detection unit 110, an information transmission unit 112, an information reception unit 114, a display unit 116, and an operation unit 118.

[0012] The detection unit 110 measures gas components that constitute body odor (which may include pheromones) contained in the gas to be measured. The detection unit 110 may be a separate device capable of wired or wireless communication with the user terminal 102. The configuration of the detection unit 110 will be described in detail below. The detection unit 110 measures the gas components that constitute body odor and outputs the measurement results (quantified information) as a digital signal (body odor information). As an example, the detection unit 110 may be a known sensor that includes an adsorption unit that adsorbs the gas components and a conversion unit that converts the adsorption state of the gas components to the adsorption unit into a digital signal. The adsorption unit is a laminate of piezoelectric thin films made of PZT (lead zirconate titanate), and the conversion unit is electrically connected to the adsorption unit. The detection unit 110 may also be other known sensors (such as a sensor using a quartz oscillator or a sensor using an oxide semiconductor). Note that the sensors that constitute the detection unit 110 may be a combination of the various sensors described above.

[0013] The information transmitting unit 112 and the information receiving unit 114 are general information transmitting and receiving units provided in the user terminal 102. The display unit 116 outputs various types of information to the user. An example of the display unit 116 is a monitor of the user terminal. An example of the operation unit 118 is, for example, a button (including a touch panel) that is operated by the user to input various types of information into the user terminal 102.

[0014] Database 106 stores user information. For example, if the matching system is operated on a membership basis, database 106 stores information about users who are members. The user information includes specific information for identifying the user (such as a facial photo, user ID, name, and financial information) and the user's body odor information. The body odor information is the measurement results of various gas components detected by detection unit 110.

[0015] The matching system 104 includes a receiving unit 120, a transmitting unit 122, and a derivation system 124. The receiving unit 120 functions as a body odor information receiving unit and receives information transmitted from the user terminal 102. The transmitting unit 122 functions as a user information transmitting unit and transmits information generated within the system 100 to the user terminal 102.

[0016] The derivation system 124 may be a device or system equipped with a tool using a machine learning model. The derivation system 124 is a learned model trained to derive compatible users based on the body odor information of multiple couples and the compatibility or suitability (subjective compatibility) of the couples. When the body odor information of a first user is input to the derivation system 124, the derivation system 124 references the database 106 to derive other users who have body odors that are highly compatible (compatible) with the body odor information of the first user. In other words, the derivation system 124 selects and outputs other users who are compatible with the first user from the database 106.

[0017] Compatibility refers to the compatibility of a couple matched using system 100. Compatibility is determined based on outcomes such as whether the couple gets married or whether the matched couple ends up dating. In this example, if the couple gets married, the compatibility is determined to be good, and if they do not end up dating, the compatibility is determined to be bad. Also, if the couple does not get married for reasons other than physiological reasons such as body odor (for example, economic reasons), it may be determined that the compatibility is good because there is no problem with compatibility from the perspective of body odor. In any case, it is preferable that the system operator be able to appropriately set what outcomes and evaluations are used.

[0018] The derivation system 124 may retrain the trained model using feedback information from the user (as training data). In this case, the feedback information is transmitted to the matching system 104 using the user terminal 102. The feedback information is preferably transmitted from the users who have actually been matched (both users). The feedback information is information regarding the outcome of the matched couple. Specifically, the feedback information includes information regarding the outcome, such as whether the matched couple got married or whether the matched couple even started dating. In this case, the information transmitting unit 112 of the user terminal 102 functions as a feedback information transmitting unit, and the receiving unit 120 of the matching system 104 functions as a feedback information receiving unit. By retraining the derivation system 124 using such feedback information, the accuracy of the derivation system 124 can be further improved.

[0019] For retraining, known ensemble learning that takes bias and variance into account may be used. When using ensemble learning, the derivation system 124 may derive a relevance rate or a similar value as a predicted value when deriving relevance. In this case, the feedback information may preferably include a user's rating (subjective score of relevance). This can further improve the derivation accuracy of the derivation system 124.

[0020] The matching system 104 is equipped with a matching program, and operates based on this matching program. The matching program includes a derivation instruction unit and an output instruction unit. Upon receiving body odor information, the derivation instruction unit causes the derivation system 124 to derive a user (i.e., a second user) who has a body odor that is highly compatible with the first user. In this regard, the matching program causes the derivation system 124 to refer to the database 106 and derive a user who has a body odor that is highly compatible with the first user from among multiple users using a machine learning model. The output instruction unit causes the transmission unit 122 to output the user information derived by the derivation system 124.

[0021] Next, the operation of the system 100 will be described. Figure 2 is a flow diagram showing a series of operations of the matching system. In explaining the series of operations, it is assumed that information on multiple users is registered in advance in the database 106. For ease of explanation, a person who desires matching and operates the user terminal 102 will be referred to as a "first user," and a user who is picked up from the database 106 will be referred to as a "second user."

[0022] When a first user performs an operation to detect their own body odor using the user terminal 102, a series of processes begins. In step S1, the user terminal 102 measures the gas components contained in the first user's body odor. Next, in step S2, the user terminal 102 converts the measurement results into a digital signal. Next, in step S3, the user terminal 102 transmits the conversion results (body odor information) to the matching system 104.

[0023] In step S4, matching system 104 receives the body odor information. In step S5, matching system 104 performs matching while referring to database 106. Matching is performed by searching (using a model provided in derivation system 124) database 106 for body odor information (in this case, the body odor information of the second user) that is highly compatible with the received body odor information (body odor information of the first user). Next, in step S5, matching system 104 transmits the matching results to user terminal 102. The results transmitted here may include only information on one highly compatible user (i.e., the second user), or may include information on multiple highly compatible users.

[0024] In step S6, the user terminal 102 receives the matching result. Then, in step S7, the user terminal 102 displays the matching result on the display unit 116. This allows the first user to know information about the second user. The matching result may include information about the means by which the first user can contact the second user (contact information, directions to a chat room, etc.). The matching result in the database 106 may also include specific information about the second user.

[0025] As described above, according to the system 100 of the embodiment, it is possible to provide a matching system that can perform matching based on the compatibility of the body odor information between users.

[0026] The configurations of the above-described embodiments can be modified as appropriate within the scope of the present disclosure. The following modifications are also envisioned.

[0027] In the embodiment, the body odor information is described as information that quantifies the body odor. However, the user's biological information (blood type and genetic information) may also be used as the body odor information. It is known that the body odor caused by the type of HLA gene in particular affects the choice of partner, and matching using genetic information is also considered to be effective.

[0028] Furthermore, when the derivation system derives other users, it may take into account specific information of the other users. [Explanation of symbols]

[0029] 102 user terminal: 104 matching system: 124 derivation system.

Claims

1. a body odor information receiving unit that receives body odor information indicating the body odor of the first user; a derivation system that, in response to the input of the body odor information, refers to a database storing a plurality of pieces of body odor information indicating the body odors of a plurality of other users, and derives, using AI, from among the plurality of other users, a user whose body odor is highly compatible with the body odor information received by the body odor information receiving unit; A matching system comprising: a user information sending unit that sends user information derived by the derivation system to the first user.

2. a feedback information transmitting unit that transmits feedback information from the first user to the derivation system; The matching system according to claim 1 , wherein the derivation system performs machine learning using the feedback information as training data.

3. an additional feedback information sending unit that sends feedback information from the user derived by the derivation system to the derivation system; The matching system according to claim 1 , wherein the derivation system performs machine learning using feedback information from users derived by the derivation system as training data.

4. a body odor information receiving unit that receives body odor information indicating the body odor of the first user; a derivation system that, in response to the input of the body odor information, refers to a database storing a plurality of pieces of body odor information indicating the body odors of a plurality of other users, and derives, using AI, from among the plurality of other users, a user whose body odor is highly compatible with the body odor information received by the information receiving unit; a user information transmission unit that transmits user information derived by the derivation system to the first user, a derivation instruction unit that, upon receiving the body odor information, causes the derivation system to refer to a database storing body odor information of multiple other users, and derives, using AI, from the multiple other users, a user whose body odor is highly compatible with the body odor information received by the information receiving unit; an output instruction unit that causes the user information transmission unit to output the user information derived by the derivation system.

5. receiving body odor information indicative of a body odor of a first user; In response to the input of the body odor information, a step of referencing a database storing body odor information of a plurality of other users and using AI to derive from the plurality of other users a user whose body odor is highly compatible with the body odor information received by the information receiving unit; and transmitting the user information derived by the derivation system to the first user.

6. a detection unit that detects the body odor of the first user; a body odor information transmitting unit that transmits body odor information indicating the body odor of the first user detected by the detecting unit to a derivation system; a user information receiving unit that receives information of other users derived by the derivation system from the derivation system; The derivation system is a user terminal that, upon receiving the body odor information, refers to a database storing body odor information of multiple other users and uses AI to derive from among the multiple users a user whose body odor is highly compatible with the body odor information received by the information receiving unit.

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