Intelligence provision methods

Abstract

Improve the information provision technology related to event planning proposals. [Solution] A method for providing information related to event planning executed by an information processing device, comprising: acquiring audio data related to each customer's business negotiations; acquiring driving data for each customer; extracting keywords related to each customer from the audio data; estimating the range of activity related to each customer from the driving data; identifying keyword and area pairs common to multiple customers based on each customer's keywords and range of activity; and presenting keyword and area pairs common to multiple customers.

Description

Technical Field

[0001] This disclosure relates to an information providing method for event planning proposals.

Background Art

[0002] Conventionally, technologies for analyzing the content of negotiations related to products are known. For example, Patent Document 1 discloses a dialogue analysis system that checks whether a salesperson explains what should be explained and does not state what should not be stated in negotiations with customers.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Although Patent Document 1 shows a technique for analyzing the content of negotiations by machine learning, the use of the content of negotiations in scenes other than negotiations has not been sufficiently studied so far. In particular, nothing has been studied about supporting the proposal of event planning in vehicle dealerships. Thus, there was room for improvement in the technology for supporting event planning proposals based on the content of negotiations.

[0005] In view of such circumstances, an object of the present disclosure is to improve the information providing technology related to event planning proposals.

Means for Solving the Problems

[0006] The information providing method according to an embodiment of the present disclosure is an information providing method related to event planning executed by an information processing apparatus, acquiring voice data related to negotiations with each customer, To acquire driving data for each customer, Extracting keywords related to each customer from the aforementioned audio data, From the aforementioned driving data, estimate the range of activity for each customer, Based on each customer's keywords and activity range, identify keyword and area pairs common to multiple customers, To present pairs of keywords and areas common to the aforementioned multiple customers, Includes. [Effects of the Invention]

[0007] According to one embodiment of this disclosure, the information provision technology related to event planning proposals is improved. [Brief explanation of the drawing]

[0008] [Figure 1] This is a block diagram showing the schematic configuration of the system according to this embodiment. [Figure 2] This is a flowchart showing the operation of an information processing device. [Modes for carrying out the invention]

[0009] The embodiments of this disclosure will be described below. Referring to Figure 1, the overview and configuration of System 1 according to this embodiment will be described. System 1 according to this embodiment comprises an information processing device 10 and a terminal device 20. The information processing device 10 is a server device installed, for example, in a data center. The terminal device 20 is any device used by a user. These The devices are connected to a network 30, such as the Internet, for communication. Although Figure 1 shows one information processing device 10 and one terminal device 20, System 1 may consist of multiple such devices.

[0010] First, an overview of the information provision method according to this embodiment will be described, and details will be described later. The information processing device 10 according to this embodiment acquires voice data related to each customer's business negotiation. Here, the business negotiation is a negotiation related to the sale of a vehicle. The information processing device 10 also acquires driving data for each customer. The information processing device 10 extracts keywords related to each customer from the acquired voice data. The information processing device 10 also estimates the range of activity for each customer from the acquired driving data. Based on each customer's keywords and range of activity, the information processing device 10 identifies keyword and area pairs common to multiple customers. The information processing device 10 then presents the keyword and area pairs common to multiple customers.

[0011] Thus, according to this embodiment, the information processing device 10 can extract keywords from the audio data of business negotiations, estimate the range of activity for each customer from the customer's driving data, and identify and present pairs of keywords and areas common to multiple customers. Since the pairs of keywords and areas common to multiple customers can be useful information for determining the content, location, etc., of an event plan, the information provision technology related to event plan proposals is improved.

[0012] Next, the configurations of the information processing device 10 and the terminal device 20 will be described in detail. As shown in Figure 1, the information processing device 10 comprises a control unit 11, a storage unit 12, an input unit 13, an output unit 14, and a communication unit 15. The control unit 11 includes at least one processor. The processor is a general-purpose processor such as a CPU, or a dedicated processor specialized for a specific process. The control unit 11 controls each part of the information processing device 10 and executes processes related to the operation of the information processing device 10. The storage unit 12 includes at least one semiconductor memory, etc. The semiconductor memory is, for example, RAM or ROM. The storage unit 12 functions, for example, as a main memory or auxiliary memory. The storage unit 12 stores data used for the operation of the information processing device 10 and data obtained by the operation of the information processing device 10. The input unit 13 includes at least one input interface. The input interface may be, for example, a physical key, a touchscreen, a sound sensor that accepts voice input, or a camera that accepts gesture input. The input unit 13 accepts operations to input data used in the operation of the information processing device 10. The output unit 14 includes at least one output interface. The output interface is, for example, a display that outputs information as video, or a speaker that outputs information as audio. The output unit 14 outputs data obtained by the operation of the information processing device 10. The communication unit 15 includes at least one external communication interface. The communication interface may be either a wired communication interface or a wireless communication interface. In the case of wired communication, the communication interface is, for example, a LAN or USB. In the case of wireless communication, the communication interface is, for example, an interface compatible with a mobile communication standard such as 5G, or an interface compatible with short-range wireless communication. The communication unit 15 receives data used in the operation of the information processing device 10 and transmits data obtained by the operation of the information processing device 10.

[0013] As shown in Figure 1, the terminal device 20 comprises a control unit 21, a storage unit 22, an input unit 23, an output unit 24, and a communication unit 25. The control unit 21 includes at least one processor. The processor is a general-purpose processor such as a CPU, or a dedicated processor specialized for specific processing. The control unit 21 controls each part of the terminal device 20 and executes processing related to the operation of the terminal device 20. The storage unit 22 includes at least one semiconductor memory, etc. The semiconductor memory is, for example, RAM or ROM. The storage unit 22 functions, for example, as a main memory or auxiliary memory. The storage unit 22 stores data used for the operation of the terminal device 20 and data obtained by the operation of the terminal device 20. Input unit 2 3 includes at least one input interface. The input interface may be, for example, a physical key, a touchscreen, a sound sensor that accepts voice input, or a camera that accepts gesture input. The input unit 23 accepts operations to input data used for the operation of the terminal device 20. The output unit 24 includes at least one output interface. The output interface may be, for example, a display that outputs information as video, or a speaker that outputs information as audio. The output unit 24 outputs data obtained by the operation of the terminal device 20. The communication unit 25 includes at least one external communication interface. The communication interface may be either a wired communication interface or a wireless communication interface. In the case of wired communication, the communication interface may be, for example, a LAN or USB. In the case of wireless communication, the communication interface may be, for example, an interface compatible with a mobile communication standard such as 5G, or an interface compatible with short-range wireless communication. The communication unit 25 receives data used for the operation of the terminal device 20 and transmits data obtained by the operation of the terminal device 20.

[0014] The functions of the information processing device 10 or terminal device 20 are realized by executing a program according to this embodiment on a processor corresponding to the control unit 11 or control unit 21. In other words, the functions of the information processing device 10 or terminal device 20 are realized by software. The program causes the computer to function as the information processing device 10 or terminal device 20 by having the computer execute the operations of the information processing device 10 or terminal device 20. In other words, the computer functions as the information processing device 10 or terminal device 20 by executing the operations of the information processing device 10 or terminal device 20 according to the program. In this embodiment, the program can be recorded on a computer-readable recording medium. The computer-readable recording medium includes non-temporary computer-readable media, such as magnetic recording devices and semiconductor memory. The program can be distributed, for example, by selling, transferring, or lending a portable recording medium such as a DVD on which the program is recorded. Alternatively, the program may be distributed by storing the program on the storage of an external server and transmitting the program from the external server to another computer. The program may also be provided as a program product. Some or all of the functions of the information processing device 10 or the terminal device 20 may be implemented by a dedicated circuit corresponding to the control unit 11 or the control unit 21. In other words, some or all of the functions of the information processing device 10 or the terminal device 20 may be implemented by hardware.

[0015] Referring to Figure 2, the operation of the information processing device 10 according to this embodiment will be described. First, the control unit 11 of the information processing device 10 acquires voice data related to the vehicle negotiations of each customer (S10). In other words, the control unit 11 acquires voice data of multiple customers. Any method can be used for the voice data acquisition process. For example, the control unit 11 may acquire voice data from external devices, including terminal devices 20, via the communication unit 15 and the network 30. Alternatively, the control unit 11 may acquire voice data via the input unit 13.

[0016] Next, the control unit 11 acquires the driving data of each customer (S20). In other words, in S10 and S20, the control unit 11 acquires the voice data and driving data of each of the plurality of customers. Any method can be adopted for the driving data acquisition process. For example, the control unit 11 may acquire driving data from an external device or the like via the communication unit 15 and the network 30. Also, for example, the control unit 11 may acquire driving data via the input unit 13.

[0017] Subsequently, the control unit 11 extracts keywords related to each customer from the voice data acquired in S10 (S30). Any method may be adopted for the keyword extraction process. For example, for keyword extraction, a machine learning algorithm, natural language processing (NLP) technology, and topic extraction processing based on these technologies may be used. For example, the keyword may include a topic obtained by performing topic extraction processing on the conversation content during idle talk within the voice period. Specifically, for example, the keyword includes information related to outdoor, sports, entertainment, lifestyle, etc. Information related to outdoor includes camping, skiing, fishing, mountain climbing, surfing. Information related to sports includes golf, tennis, etc. Information related to entertainment includes music festivals, movies, plays, concerts, games, etc. Information related to lifestyle includes gourmet, fitness, DIY, interior design, gardening, pets, wine, etc.

[0018] Subsequently, the control unit 11 estimates the activity range related to each customer from the driving data acquired in S20 (S40). In other words, through the processes of S30 and S40, the control unit 11 extracts and estimates the keywords and activity range related to each customer. Any method may be adopted for the activity range estimation process. For example, the activity range may be estimated by identifying places where the visit frequency of each customer is above a predetermined level. More specifically, for example, the activity range may be estimated to be a circular area centered on the home, with a radius being the distance between the home and a place where the visit frequency or the number of visits is above a predetermined level at a place other than the home based on the driving data. Also, for example, the activity range may be estimated by a machine learning algorithm based on the driving data.

[0019] Subsequently, the control unit 11 identifies a pair of keywords and areas common to a plurality of customers based on the keywords and action ranges of each customer (S50). The area is determined based on the action ranges of the plurality of customers. For example, the area may be determined based on an area common to a plurality of customers among the action ranges of each customer. Specifically, the pair may be, for example, Camping - Tama, or Golf - Mie, etc.

[0020] Subsequently, the control unit 11 presents a pair of keywords and areas common to a plurality of customers (S60). Any method can be adopted for the presentation process of the pair of keywords and areas. For example, the control unit 11 may transmit data to the terminal device 20 via the communication unit 15, and present the pair through a user interface displayed and output by the output unit 24 of the terminal device 20. Alternatively, the control unit 11 may present the pair through a user interface displayed and output by the output unit 14.

[0021] As described above, according to this embodiment, the information processing apparatus 10 extracts keywords related to each customer from the voice data of the business negotiation, and also estimates the action range related to each customer from the driving data of the customer, and can identify and present a pair of keywords and areas common to a plurality of customers. Since the pair of keywords and areas common to a plurality of customers can be useful information for determining the content, location, etc. of event planning, the information - providing technology related to event planning proposals is improved. Also, in this way, the content of the business negotiation for vehicle sales can be utilized for event planning proposals in scenes other than business negotiations.

[0022] Although the present disclosure has been described based on the drawings and examples, it should be noted that those skilled in the art may make various modifications and alterations based on the present disclosure. Therefore, it should be noted that these modifications and alterations are included in the scope of the present disclosure. For example, the functions, etc. included in each component or each step, etc. can be rearranged so as not to be logically inconsistent, and it is possible to combine or divide a plurality of components or steps, etc. into one.

[0023] For example, the control unit 11 of the information processing device 10 may suggest event plans based on keyword-area pairs. Specifically, for example, if the keyword-area pair is camping-Tama, the control unit 11 may suggest event plans such as a camping experience event or an event to experience using camping equipment that can be charged by an EV. Camping equipment may include, for example, electric coolers, electric cooking appliances, portable power supplies, LED lanterns, etc. Also, for example, if the keyword-area pair is golf-Mie, the control unit 11 may suggest event plans such as a golf experience event at a golf course in Mie or an event to experience using a complete set of golf equipment that can be easily mounted. The control unit 11 may suggest events such as vehicle (SUV, minivan, etc.) ride experience events. For example, if the keyword-area pair is shopping (assuming shopping by a housewife who is not good at driving) and Tokyo, the control unit 11 may suggest a driving lesson event at a driving school course in Tokyo as an event plan. Furthermore, the control unit 11 may suggest conducting demonstration events such as a compact car that is easy for beginners to drive and a parking assist system within the event. For example, if the keyword-area pair is music festival and Chiba, the control unit 11 may suggest a music festival event at a venue in Chiba as an event plan. Furthermore, the control unit 11 may suggest demonstrating within the event that the power supply for the music festival can be supplemented with EV vehicles.

[0024] Any method can be used for suggesting event plans. For example, a machine learning algorithm may be used in the suggestion process. In this case, the control unit 11 may input keyword and area pairs into the trained model to obtain event plan suggestions from the trained model.

[0025] For example, the control unit 11 may generate keyword trend information based on the keywords related to each customer extracted in step S30. The trend information includes statistical information such as the frequency of keyword occurrence, timing, and season. Based on this trend information, the control unit 11 may suggest the timing of an event plan. Specifically, if the keyword is "camping," the control unit 11 may determine that the frequency of this keyword is higher from spring to early summer than at other times. In this case, based on this trend information, the control unit 11 may suggest that the timing of a camping-related event plan be from spring to early summer. This increases the likelihood of holding an event at an appropriate time. The control unit 11 may also obtain the trend information using a general-purpose search trend analysis tool or the like.

[0026] For example, the control unit 11 may store keyword and area pairs common to multiple customers identified in step S50 in a database. This database may be stored in a storage unit 12 or the like. Based on this database, recommended information may be presented to the customer while the vehicle is in motion via a terminal device installed in the vehicle. Such recommended information may be determined based on the database and customer attributes. Alternatively, the recommended information may be determined based on the database and the audio inside the vehicle while it is in motion. The audio inside the vehicle while it is in motion may include audio of conversations inside the vehicle.

[0027] Furthermore, in the embodiment described above, it is also possible to have an embodiment in which the configuration and operation of the information processing device 10 are distributed among multiple computers that can communicate with each other. [Explanation of symbols]

[0028] 1: System, 10: Information processing device, 11: Control unit, 12: Storage unit, 13: Input unit, 14: Output unit, 15: Communication unit, 20: Terminal device, 21: Control unit, 22: Storage unit, 23: Input unit, 24: Output unit, 25: Communication unit, 30: Network

Claims

1. A method for providing information related to event planning executed by an information processing device, To acquire audio data related to each customer's business negotiation, To acquire driving data for each customer, Extracting keywords related to each customer from the aforementioned audio data, From the aforementioned driving data, estimate the range of activity for each customer, Based on each customer's keywords and activity range, identify keyword and area pairs common to multiple customers, To present pairs of keywords and areas common to the aforementioned multiple customers, Information provision methods, including those mentioned above.

2. The information provision method according to claim 1, The aforementioned keywords include topics obtained by topic extraction processing of utterances during casual conversation within the audio period, as part of an information provision method.

3. The information provision method according to claim 1, The aforementioned range of activity is estimated from the aforementioned driving data by identifying locations with a visit frequency of a predetermined value or higher, as an information provision method.

4. The information provision method according to claim 1, The aforementioned area is determined based on the range of activity of multiple customers, and is a method of providing information.

5. The information provision method according to claim 1, further A method of providing information, including suggesting event plans based on the aforementioned keyword and area pairs.

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