JP2003099455A - Device and program for providing information - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a device and program for providing a customer with information of service or merchandise, etc., which are purchased by persons having hobbies and tastes close to the customer. SOLUTION: When a request of recommendation information is received from a certain member, data of the member is read from a data base, pieces of data of other members who have experience of purchasing the service or merchandise which is the same as that the member has purchased in the past are extracted, a matching processing of the extracted pieces of data about the other members to the read data of the member is performed, the prescribed number of pieces of data of members who have experience of purchasing the service or the merchandise which is the same as that purchased by the read member more are extracted, the prescribed number of the service or the merchandise with many duplication among the extracted prescribed number of pieces of data about the members, it is determined as the recommendation information and the member who requests the recommendation information is informed of the recommendation information.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an information providing device and an information providing program for providing a customer with information on services received by people who have similar interests and tastes, information on purchased products, and the like.

[0002]

2. Description of the Related Art Conventionally, a service for providing customers with information such as concerts, movies, or new products via the Internet, and information provision for providing such information to shoppers who have come to CD shops, convenience stores, etc. The device is known.

[0003] For example, in the service of notifying recommended songs, the customer registers in advance through the Internet at a service providing site, and then registers the genre of the favorite song, while the providing site is registered. Recommended songs are selected from the genres and notified to the registered customers (hereinafter referred to as members). Alternatively, the site offers the best 10 songs that are currently hit regardless of individual interests and informs the members.

[0004]

However, since there are songs with various tendencies in one music genre, the song notified by the providing site does not always match the taste of each member. Is occurring.

Further, there are cases in which there are some songs such as "New Wave" which are difficult to classify according to the conventional genre classification of music. In such a case, it has been difficult for the providing site to inform the music that the member's preference is met.

The present invention has been made in view of the above points, and an information providing apparatus and an information providing program capable of providing a customer with information on services or products purchased by people who have similar interests and tastes. The purpose is to provide.

[0007]

In order to achieve the above object, the information providing apparatus according to claim 1 is an information providing apparatus including a storage means for storing data regarding a service or a product purchased by a registered member. An input unit for the member to input a request for recommended information; a reading unit for reading data on a service or a product purchased by the member from the storage unit when the request for recommended information is input; Extraction means for extracting a predetermined number of data of other members who purchased the same service or product as the member's purchase from the storage means in the order of the large purchase, and the extracted predetermined number In the member data of, the recommended information determining means for selecting a predetermined number of those having a large number of duplicated services or products, and determining this as recommended information, Characterized in that it comprises a notifying means for notifying the recommended information whose serial determined to the member who inputs a request of the recommended information.

An information providing apparatus according to claim 2 is the information providing apparatus according to claim 1.
In the information providing apparatus as described above, the recommended information determining means is based on the number or date of purchasing the same service or product as the service or product purchased by the member, based on the number or date of the extracted predetermined number of other members. The data is weighted, a predetermined number of services or products having a large weight are sequentially selected from all the weighted data of other members, and this is determined as recommended information.

An information providing apparatus according to a third aspect is the first aspect.
Alternatively, in the information providing apparatus described in 2, the notification means is
Further, the contact information of another member who has purchased the same service or product as the service or product purchased by the member is notified to the member who has input the request for the recommended information.

The information providing apparatus according to claim 4 is the information providing apparatus according to claim 1.
In the information providing apparatus according to any one of items 1 to 3, data of another member who has purchased the same service or product as the service or product purchased by the member, and the service or product purchased by the other member. It is characterized by comprising a history display means for displaying the history data of.

According to a fifth aspect of the present invention, there is provided an information providing program, wherein a computer having a storage means for storing data relating to a service or a product purchased by a registered member is input means for inputting a request for recommended information by the member. When a request for recommended information is input, a reading unit that reads data relating to a service or a product purchased by the member from the storage unit, a service or a product identical to the service or product purchased by the member from the storage unit, Extraction means for extracting a predetermined number of the data of other members who have purchased a large number in the order of the large purchase, and data that has a large number of duplicated services or products in the extracted data of a predetermined number of other members. Recommendation information determining means for selecting a predetermined number of pieces and deciding this as recommendation information, and requesting the decided recommendation information for the recommendation information It characterized in that to function as a notification means for notifying the member who entered.

[0012] In the information providing program according to claim 6, in the information providing program according to claim 5, the recommended information determining means is the number of the same services or products purchased by the member or the number of purchases of the same services or products. Based on the date, weighting is performed among the data of the extracted predetermined number of other members, and a predetermined number of services or products with high weighting are selected in order from all the data of the other weighted members, Is determined as recommended information.

Preferably, any one of claims 1 to 4
The information providing apparatus according to the item may include a connecting unit that connects to an external device via a network.

[0014]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram showing a schematic hardware configuration of an information providing apparatus according to an embodiment of the present invention.

The information providing apparatus according to the embodiment of the present invention is composed of, for example, a personal computer (PC) 1 having a server function.

The PC1 is a C which controls the operation of the entire PC1.
A PU 2 is provided, and a RAM 3, a ROM 4, an operator 5, a display device 6, a timer 7, a sound source circuit 8, an external storage device 9 and a communication interface (I / F) 10 are connected to the CPU 2 via a communication bus 17. Has been done.

The RAM 3 temporarily stores data downloaded from the communication network 12 connected via the communication I / F 10 and various data generated when the CPU 2 executes various programs. ROM4 is CPU2
It stores various programs (for example, mail software) and various data executed or referred to by. The operator 5 is a PC
The device is a device for inputting data to 1, such as a mouse and a keyboard. The display device 6 displays various data and is, for example, a CRT monitor or a liquid crystal display. The operator 5 and the display device 6 do not have to be configured separately, and may have a function of inputting data and a function of displaying, for example, like a touch panel.

The timer 7 is used in timer interrupt processing executed by the CPU 2. The tone generator circuit 8 inputs, for example, the music data stored in the external storage device 9 via the communication bus 13, and outputs a tone signal to the sound system 11 based on the music data. Sound system 11
Generates this input tone signal.

The external storage device 9 stores various data (for example,
Database data) and various programs executed or referred to by the CPU 2 (for example, database programs) are stored. In the ROM 4, for example, the CPU 2
If the control program executed by R is not stored, this control program is stored in the external storage device 9 (for example, hard disk), and the control program is stored in R
By reading into the AM3, the CPU2 can be caused to perform the same operation as when the ROM4 stores the control program. By doing so, it is possible to easily add or upgrade the control program. The external storage device 9 is not limited to a hard disk, and may be a storage device that uses various removable storage media such as a floppy (registered trademark) disk, CD-ROM, MO, or DVD.

The communication I / F 10 is connected to a communication network 12 such as the Internet or a commercial network, and the PC 1 is connected to another PC (not shown) or the like via the communication network 12. ROM above
4 and the external storage device 9, for example, various data and CPU2
If various programs executed or referred to by are not stored, these various data and various programs are downloaded from another PC (not shown) or the like via the communication I / F 10 and the communication network 12.

The communication I / F 10 is connected to the printer 14 that prints various data.

FIG. 2 is a diagram conceptually showing a data example of a database stored in the external storage device 9 of FIG.

As shown in the figure, the data in the database stored in the external storage device 9 includes a member ID 20, a purchase service / commodity ID list 21, and a similar preference member list 22.

The member ID 20 is data individually given to each customer who has registered in the service for notifying recommended information, and the data in the database is managed and updated based on this ID. Purchase Service / Product ID List 21
Is the list data of the ID numbers of the services or products actually purchased by the member described in the member ID 20,
For example, list data of 100 service or product ID numbers is registered. The similar preference member list 22 is
This is list data of member IDs of members having similar hobbies and tastes, and for example, list data of member IDs of 50 members is registered. Whether or not the hobbies and tastes are actually similar is determined based on, for example, that 10 or more services or products that are the same as the service or product purchased by the member to be processed have been purchased as a reference. Will be judged at the time of update. In this case, a member who has purchased 10 or more services or products that are the same as the service or product purchased by the processing target member has similar hobbies or tastes to the processing target member. To be judged.

Next, the similar preference member list 22 shown in FIG.
The updating method of will be described.

FIG. 3 is a similar preference member list 22 shown in FIG.
6 is a conceptual diagram for explaining an updating method of FIG.

The similar preference member list 22 is updated at any time in order to reflect the change in the preference of the member's service or product in the data provided to the member. Specifically, C
The PU 2 sets the external storage device 9 every predetermined time (for example, 5 minutes).
Update the data in the database stored in.

As shown in the figure, the similar preference member list 2
The update of 2 is "member list with similar taste before update", "member list appropriately extracted" or "member list of new member"
For all the members registered in, count the number of the same services or products purchased by the member being processed (the process is called matching process) The member IDs of, for example, 50 members are registered and updated in descending order of the number of counts. Incidentally, in order to register the member IDs of the members having a higher degree of similar preference in the similar preference member list 22, the “preferred similar preference member list”, “appropriately extracted member list” or “newly added member list”. Only members who have registered 20 or more of the same services or products purchased by the member to be processed, for example, who are registered in "."

The "list of similar preference members before update" is a list of similar preference members immediately before update.

The above "member list appropriately extracted" means
It is a member list composed of only some member IDs extracted from the entire member list. The method of extracting the member ID is to randomly extract, for example, 50 member IDs from all the member IDs, to extract the member IDs, for example, 1 to 50, or the last 1 digit of the member ID number. There is a method such as extracting the one with 1. When the member ID is extracted according to the method of extracting the member IDs 1 to 50, for example, when the member ID is next extracted, the member I
Extract the 51st to 100th of D, and then the member ID 1
The range of sequential extraction is changed such that 01 to 150 are extracted. When extracting the member ID according to the method for extracting the number 1 in the last digit of the member ID number, when the member ID is extracted next, The range to be sequentially extracted is changed such that the one with the number 2 is extracted. As a result, the extraction range of member IDs can be expanded, and more member IDs can be targeted for the matching process.

The "newly subscribed member list" includes only member IDs of members who have purchased services or products to the extent that they can be subjected to the matching processing (for example, purchased three or more services or products). It is a configured member list. By using this "newly subscribed member list", a new member ID can be targeted for the matching process at any time.

When updating the similar preference member list 22, only the members registered in the “preferred similar preference member list”, “appropriately extracted member list” or “newly added member list”. The reason for this is that if the number of member IDs is too large, a large processing load is imposed on the PC 1 that performs matching processing, and rapid processing cannot be achieved. Therefore, the member ID that is the population of the matching process
Is limited to those registered in the above three member lists to reduce the processing load on the PC 1. Also,
By using the "member list extracted as appropriate" or the "member list newly joined", the member IDs that are the population of the matching process are not completely fixed, and a certain degree of liquidity is maintained. It is possible to create an accurate similar preference member list 22 without creating a similar preference member list 22 with a certain value.

Hereafter, the member uses his or her own PC, and FIG.
A process executed by the member's PC and a process executed by the PC1 when connecting to the PC1 of FIG. 1 through a network and purchasing a service or a product will be described.

The structure of the member's PC is shown in FIG.
Since the configuration is the same as that of No. 1, description thereof will be omitted. However, the numbers of the components shown in Fig. 1 are the members' PCs.
In the case of the above configuration, the code "'(dash)" is added to the number.

FIG. 4 is a flowchart showing the processing executed by the member's PC when the member's PC connects to the PC 1 of FIG. 1 and purchases a service or product.

First, the member's PC initializes (step S11). This initialization means activating a browser, ordering software for purchasing a service or a product.

Next, the member's PC is network-connected to the PC1 via the communication I / F 10 '(step S1).
2) The data received from the PC 1 is displayed on the display device 6 '(step S13). As a result, the display device 6 ′ becomes a screen display for purchasing a service or a product.

Next, the CPU 2'determines whether or not the member operates the operator 5'to make any input (step S).
14), if there is no input, the above step S13
On the other hand, if any input is received (step S15), the CPU 2'determines whether or not the "ENTER" key is input (step S15).
16). If the "ENTER" key is pressed,
The input accepted in step S15 is transmitted to the PC 1 (step S17), and the process returns to step S13 while "ENT
If the "ER" key has not been input, the process returns to step S15.

Through the loop processing of the above steps S13 to S17, the member selects the service or product to be purchased and requests the recommended information to the PC1.

Next, the processing executed by the PC 1 will be described.

In FIGS. 5 and 6, the member's PC is the PC of FIG.
PC1 when connecting to 1 to purchase services or products
6 is a flowchart showing a process executed by the. This processing is mainly executed by the CPU 2.

This process is roughly divided into the following six processes. (1) Process of identifying a member connected to the PC 1 (steps S21 to S24) (2) Process of causing the member to select a service or product purchased by the identified member (steps S25 to S3)
3 (excluding step S31), steps S36 to S38) (3) Processing for determining recommended information for the identified member (step S31) (4) Processing for selling the service or product selected by the identified member (Step S34) (5) As the member purchases the service or product,
Processing for Updating Member Data (Step S35) (6) Other Processing (Step S39) Hereinafter, these six processings will be described in order of step number.

First, the PC 1 initializes (step S
21). The initialization means turning on the power of the PC 1, executing a predetermined program, and starting up software for this processing, and the actions accompanying these, that is, clearing the contents of the RAM 3 and initial setting of the network connection. Is also included.

After step S21, it is determined whether or not the member's PC is connected (step S22). In this determination, the member's P in order for the member to purchase the service or product.
It monitors whether C is connected.

As a result of the determination in step S22, if the member's PC is connected, the initial screen data is transmitted to the member's PC (step S23). The initial screen data also includes a statement prompting the member to input the member ID.

Next, the input of the member ID transmitted from the member's PC is received (step S24). Subsequent processing is performed in association with the received member ID.

Next, the service menu data is sent to the member's P
It is transmitted to C (step S25). Here, the service menu data is data for menus for receiving orders for mailing sales of CDs, musical scores, books, etc., and for immediately selling karaoke data or music data via a network, and information related to these.

Next, of the service menus included in the service menu data transmitted in step S25,
The contents of the service menu selected by the member's PC are received (step S26).

Next, it is determined whether or not the content of the service menu received in step S26 is, for example, "song data purchase" (step S27).

As a result of the determination in the step S27, when the content of the service menu received in the step S26 is "song data purchase", the data related to the category of the music data and the request to send the recommended information to the member are sent. And the data necessary for accepting are sent to the member's PC (step S28). Here, the category of the song data is a music field to which the song data belongs, and is, for example, rock, classical, or enka.

Next, of the data transmitted to the member's PC in step S28, the contents of the data selected by the member's PC are received (step S29). Where member's P
The content of the data selected in C is the specific category name of the song data (for example, rock, classic, enka, etc.)
Alternatively, it is a request for transmitting recommended song information.

Next, it is determined whether or not the content of the data received in step S29 is a request to send recommended information (step S30). If the content of the data is a request to send recommended information, Recommended information determination processing is executed to determine recommended information (step S31).

Here, the recommended information determination process is shown in FIG.
Will be described with reference to. This processing is executed by the CPU 2.

First, the data for each member registered in the database is read corresponding to the member ID received in step S24 of FIG. 5 (step S41).

Next, the database is searched to extract the data of members who have purchased the same service or product as the service or product purchased by this member in the past (step S42). At this time, for example, the concept of the date may be incorporated into the extraction condition, and the data of the member whose purchase date of the same service or product is old may be excluded from the extraction target.

Then, the data of the other member extracted in step S42 is matched with the data of the member read out in step S41, and the service or the same service as the product purchased by the member read out in step S41 is matched. Alternatively, a predetermined number of data of members who have purchased more products are extracted (step S43).

Finally, from the data of the predetermined number of members extracted in step S43, a predetermined number is selected which has a large number of overlapping services or products, and this is determined as recommended information (step S44). The service (or the product purchased) that the member has received in the past may be excluded from the recommended information.

Further, the contact information of the member who has purchased the same service or product extracted in step S43 may be known. In this case, the contact information of the member is displayed in the recommended information. As a result, for example, an electronic mail can be sent to the member, and a person having similar hobbies or tastes can form a human relationship.

Further, among the members who have purchased more identical services or products extracted in step S43, for example, the top three members can view the history data of the purchased services or products. May be. In this case, the recommended information is linked to the history data of the services or products purchased by the top three members, and by inputting predetermined data in a predetermined portion of the recommended information, the three members The history data of the services or products purchased by the member will be displayed. This allows
The history data can be used as a reference for the service or product that the member next purchases.

As a modified example of the recommended information determining process,
In the step S43, data of other members are weighted based on the number of the same services or products, and in step S44, services with a large weight from all the data of other weighted members or A predetermined number of products may be selected in order and this may be determined as recommended information.

For example, in the case of the process of determining the recommended song data, the song data not purchased by a certain member X,
The song data purchased by other members is evaluated using scores, and as a result of this evaluation, for example, the song data corresponding to the top 10 in the descending order of the total score is set as the recommended song data for the member X. .

In the evaluation using this score, for example, a member who purchases the same song data as the member X is weighted by multiplying the score by a coefficient, and the same song data as the member X is purchased. It may be so arranged that the more recent the purchase date of the member who is present is, the more the points are multiplied by the coefficient to be weighted.

Returning to FIG. 6, the recommended information determined in step S31 is transmitted to the member's PC (step S3).
2). Here, specific service or product data included in the recommended information is transmitted to the member's PC. For example, when the recommended information is song data or a music CD, a part of the song data or the music CD may be auditioned.

Next, the content of the service or product selected by the member is received from the recommended information transmitted in step S32 (step S33), and the sale process of the service or product of the received content is executed (step S33). Step S3
4). Here, the service or product sales process is, for example, receiving data such as a member's name, address, telephone number, and destination via the Internet, and receiving actual service locally or mailing the product. First, the service or the product is sold by a conventionally known method.

Since the member has purchased the service or product in step S34, the data corresponding to the member in the database is updated and registered (step S35), and the process returns to step S25. The data updated in step S35 is used the next time the recommended information determination process is executed.

In step S30, if the content of the data received in step S29 is not a recommendation information transmission request, the data of the song data name and the data necessary for accepting the recommendation information transmission request to the member. And are transmitted to the member's PC (step S36). Here, the data of the song data name is, for example, if Beethoven Symphony No. 5 if Classic is selected in step S29.
No. 1 and Bruckner's Symphony No. 1.

Next, of the data transmitted to the member's PC in step S36, the contents of the data selected by the member's PC are received (step S37).

Next, it is judged whether or not the content of the data received in step S37 is a request to send recommended information (step S38). If the content of the data is a request to send recommended information, Go to step S31 above,
Execute the recommended information determination process. On the other hand, step S37
If the content of the data received in step S6 is not the recommended information transmission request, the data having a specific music piece data name has been received, so the flow proceeds to step S34 to execute the sales processing of the music piece data.

As a result of the determination in step S27, if the content of the service menu received in step S26 is not "purchase song data", another service menu is selected, so another service is executed ( Step S39), the process proceeds to step S35. The other services in step S39 are, for example, sales of karaoke data and books, hotel stays, vehicle reservations, and the like. The processes of steps S26 to S38 described above are also executed when executing other services.

As described above, according to this embodiment,
When a member requests recommended information, the member's data is read from the database, the database is searched, and the same service or product as this member has purchased in the past. Data of a certain other member is extracted, the extracted data of the other member and the read-out member data are matched, and the same service as the service or product purchased by the read-out member. Alternatively, a predetermined number of data of members who have purchased more products are extracted, and from the extracted data of the predetermined number of members, a predetermined number of those having a large number of overlapping services or products are selected, and this is selected. It is decided as recommended information, and the recommended information is notified to the member who has requested the recommended information. Therefore, information about services or products purchased by people with similar hobbies or preferences can be reviewed. It is possible to provide in.

Further, based on the number or date of purchase of the same service or merchandise as the service or merchandise purchased by a certain member, the extracted predetermined number of data of other members are weighted, and the weighting is performed. In addition, a predetermined number of services or products with a large weight are selected in order from all the data of other members, and this is determined as recommended information, so information about services or products purchased by people with similar hobbies or preferences. Can be provided to customers.

Furthermore, the contact address of another member who has purchased the same service or product as the service or product purchased by a member can be notified to the member who entered the request for recommended information. You can send an e-mail to, and you will be able to form human relationships with people with similar hobbies and tastes.

Further, it is possible to display data of other members who have purchased the same service or product as the service or product purchased by a certain member, and the history data of the service or product purchased by the other member. Therefore, this history data can be used as a reference for the service or product that the member next purchases.

The information providing apparatus according to the embodiment of the present invention has only to provide the customer with information on services received by people with similar hobbies and preferences, information on purchased products, and the like. As the members themselves use the PC,
Network connection to the PC 1 is not always necessary, and the information providing device may be a stand-alone dedicated terminal that allows many people to input a request for recommended information. In this case, the configuration of the stand-alone dedicated terminal is the same as the configuration of the PC 1 of FIG. 1, and the stand-alone dedicated terminal is the PC shown in FIG. 5 and FIG. 6 described above.
Steps S23 to S in the processing executed by
The processing of 39 is executed.

When the PC 1 receives the input of the member ID, the PC 1 may display some or all of the data stored in the database corresponding to the member ID. This allows members to view their data freely. Further, the data displayed on the display device 6, 6'may be printed by the printer 14, 14 '.

The functions of the information providing apparatus according to the above-described embodiments of the present invention can be realized also by causing a computer to read a program that is software, and thus the object of the present invention can be achieved. Needless to say.

Furthermore, a storage medium recording a software program for realizing the functions of the above-described embodiments is supplied to a computer, and the computer (or CP
It goes without saying that the object of the present invention can also be achieved by U) reading and executing the program stored in the storage medium.

The information providing apparatus according to the embodiment of the present invention can also be used in general face-to-face sales (for example, sales of products at convenience stores).

In this case, for example, when a member makes a payment at the cash register, the data of each member may be accumulated based on the barcode attached to the product. In particular,
Of the individual member data, the purchase service shown in Figure 2
New data is stored in the item data of the product ID list 21. Further, the information providing device will be equipped with a barcode reading device.

Further, each member has a member card (for example, a card with an IC chip embedded therein) that stores his / her own data, and when the member pays at the cash register, the member card is a purchase service. The data of the item of the product ID list 21 is stored, or the membership card and the information providing device are associated with each other, and the data of the item of the purchase service / product ID list 21 of the member is stored in the information providing device. To do. In this case, the information providing device includes a card reading device for reading the data of the items of the purchase service / product ID list 21 from the membership card.
When the member card stores the data of the items of the purchase service / product ID list 21, the storage capacity occupied by the data of the database in the storage device (ROM 4 or external storage device 9) can be reduced.

[0082]

As described above in detail, according to the information providing apparatus and the information providing program according to claim 1, the storage for storing the data about the service or the product purchased by the registered member. When a request for recommended information is input by a member, data relating to the service or product purchased by the member is read out from the storage device, and the same service or product purchased by the member from the storage device or A predetermined number of data of other members who have purchased a large number of products are extracted in the order of the large purchases, and the data having a large number of overlapping services or products is specified in the extracted data of the other members. This is decided as recommended information by selecting several items, and the decided recommended information is notified to the member who inputs the request for recommended information. We are doing a service or product information, and the like can be provided to the customer.

An information providing apparatus according to claim 2 and claim 6
According to the information providing program described, based on the number or date of purchasing the same service or product as the service or product purchased by the member, weighting is performed among the data of a predetermined number of other members extracted, A predetermined number of services or products with high weighting are selected in order from all the weighted data of other members, and this is determined as recommended information, so the services or products purchased by people with similar hobbies or tastes are selected. Information can be provided to customers.

According to the information providing apparatus of claim 3, the contact information of another member who has purchased the same service or product as the member purchased is notified to the member who inputs the request for recommended information. As a result, for example, an electronic mail can be sent to the member, and it is possible to form a human relationship with people who have similar interests and tastes.

According to the information providing apparatus of the fourth aspect, since the history of the service or product purchased by another member who has purchased the same service or product as the member has been displayed, this history is displayed. Can be used as a reference for the service or product that the member will purchase next.

[Brief description of drawings]

FIG. 1 is a block diagram showing a schematic hardware configuration of an information providing device according to an embodiment of the present invention.

FIG. 2 is a diagram conceptually showing a data example of a database stored in an external storage device 9 of FIG.

FIG. 3 is a conceptual diagram for explaining a method of updating the similar preference member list 22 shown in FIG.

4 is a flowchart showing a process executed by a member's PC when the member's PC connects to the PC 1 of FIG. 1 to purchase a service or a product.

5 is a flowchart showing a process executed by the PC 1 when a member's PC connects to the PC 1 of FIG. 1 to purchase a service or a product.

6 is a flowchart showing a process executed by the PC 1 when the member's PC connects to the PC 1 of FIG. 1 to purchase a service or a product.

FIG. 7 is a flowchart showing details of recommended information determination processing.

[Explanation of symbols]

1 PC 2 CPU (reading means, extracting means, recommended information determining means) 3 RAM 4 ROM (storage means) 5 operator (input means) 6 display device (notifying means) 9 external storage device 10 communication I / F (notification) means)

Claims (6)

[Claims] 1. An information providing device comprising a storage means for storing data on services or products purchased by a registered member, wherein the member inputs a request for recommended information, and a request for the recommended information. And a reading means for reading out data relating to the service or product purchased by the member from the storage means, when the same service or product as the service purchased by the member is purchased from the storage means Extracting means for extracting a predetermined number of the members 'data in the order of purchase, and selecting a predetermined number of those having a large number of duplicated services or products from the extracted predetermined number of other members' data. so,
An information providing apparatus, comprising: recommended information determining means for determining this as recommended information; and notifying means for notifying the determined recommended information to a member who has input a request for the recommended information. 2. The recommended information deciding means is based on the number or date of purchase of the same service or product as the service or product purchased by the member, among the data of the extracted predetermined number of other members. 2. The information according to claim 1, wherein a predetermined number of services or products having a large weight are selected in order from all the data of other weighted members, and this is determined as recommended information. Providing device. 3. The notification means further notifies the member who has input the request for recommended information of the contact information of another member who has purchased the same service or product as the service or product purchased by the member. The information providing apparatus according to claim 1 or 2, which is characterized. 4. A history display means for displaying data of another member who has purchased the same service or product as the service or product purchased by the member, and which displays history data of the service or product purchased by the other member. The information providing apparatus according to claim 1, further comprising: 5. A computer having a storage means for storing data on services or products purchased by registered members, input means for inputting a request for recommended information by the member, and a request for the recommended information input by the member. Read out from the storage means data relating to services or products purchased by the member, data of other members who have purchased the same service or products as the service or goods purchased by the member from the storage means Extracting means for extracting a predetermined number in the order of purchase, selecting a predetermined number of the services or products having a large number of duplicates in the extracted data of the predetermined number of other members,
Recommended information determination means to determine this as recommended information,
And an information providing program that causes the determined recommended information to function as a notification unit that notifies a member who has input a request for the recommended information. 6. The recommended information deciding means determines whether or not the data of the predetermined number of other members extracted based on the number or date of purchase of the same service or product as the service or product purchased by the member. 6. The information according to claim 5, wherein a predetermined number of services or products having a large weight are sequentially selected from all the data of the other weighted members, and this is determined as recommended information. Offering program.