JP2020086909A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To provide an information processing device capable of quantitatively indicating a relationship between information posted to an SNS and sales of a foreign product to which a certain regulation is applied for domestic sale.SOLUTION: An analyzing device comprises: an acquisition unit that accesses a shopping site which sells a prescribed commodity to acquire the number of sales of the prescribed commodity in each unit period within a first period; a determination unit that determines whether or not there is a trend of increase in demand for the prescribed commodity in the first period on the basis of sales number information; an identification unit that, if it is determined there is such a trend, identifies a user who posted information related to the prescribed commodity to a prescribed SNS site in a second period at a timing before the prescribed trend occurred; and a first calculation unit that calculates an index indicating a relationship between the increase in the demand for the prescribed commodity and the user on the basis of the number of views and the number of appearances of the user post. The prescribed commodity is a commodity to which a certain regulation is applied for sale at stores, and the shopping site targets users within a prescribed region.SELECTED DRAWING: Figure 2

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

As a service on the Internet, there is a social networking service (SNS) that allows a plurality of users to share various information (for example, Patent Document 1).

JP, 2018-37076, A

By the way, in a country such as China, there are cases where a foreign product, which is subject to certain restrictions on sales at domestic stores, can be purchased at an EC (Electronic Commerce) site. Then, in such a country, there may be a phenomenon that a large amount of foreign products introduced on the SNS site are sold on the EC site. However, it was difficult to quantitatively grasp the relationship between the information posted on the SNS site and foreign products that were sold in large quantities.

The present invention has been made in view of the conventional problems as described above, and quantifies the relationship between the information posted on the SNS site and the sales of foreign products whose domestic sales are regulated to a certain degree. It is to provide an information processing device that can be shown in a simplified manner.

The main present invention for solving the above-mentioned problem is to access a web server that provides information on a shopping site that sells a predetermined product, and sell the number of sales of the predetermined product per unit period in the first period. An acquisition unit that acquires information, and a determination unit that determines whether or not there is a predetermined tendency indicating that the demand for the predetermined product has increased in the first period, based on the sales number information, When the determination unit determines that the predetermined tendency is present, in the second period before the timing at which the predetermined tendency occurs, the user who posts information about the predetermined product to a predetermined SNS site is specified. And a first calculator that calculates an index indicating the relationship between the increase in demand for the predetermined product and the user based on the number of views and the number of appearances of the post by the user. The product is a product outside the predetermined region, which is subject to a predetermined regulation for sale at a store within the predetermined region, and the shopping site is a site for users in the predetermined region. Is an information processing device.

According to the present invention, it is possible to provide an information processing device capable of quantitatively showing a relationship between information posted on an SNS site and sales of foreign products whose domestic sales are regulated to a certain degree. it can.

It is a figure for explaining the outline of the analysis device 10. FIG. 3 is a diagram showing an example of functional blocks implemented in the analysis device 10. It is a figure which shows an example of the message posted by SNS site W. 6 is a flowchart showing an example of processing executed by the analysis device 10. It is a figure which shows an example of the change of the sales of the goods X. It is a figure for explaining index Y.

At least the following matters will be made clear by the present specification and the description of the accompanying drawings.

=== This Embodiment ===
<<<Analyzer 10 and Web Server 20, etc.>>>
FIG. 1 is a diagram for explaining the outline of the analysis apparatus 10, and in FIG. 1, the analysis apparatus 10, the web servers 20a to 20c, the SNS server 21, and the terminal 22 are drawn. In the present embodiment, the analysis device 10, the web servers 20a to 20c, and the SNS server 21 are arranged in, for example, China, and the terminal 22 is arranged in, for example, Japan.

The analysis device 10 (information processing device) is a foreign-made product that has been sold in large quantities through a Chinese EC site (shopping site), and is subject to certain restrictions on domestic sales (for example, cosmetics). , Foods, supplements) and the information posted on the SNS site. The details of the analyzer 10 will be described later.

The web server 20a uses, for example, an EC site (hereinafter referred to as “EC site Sa”) of a parallel import product that can sell a foreign-made product for which domestic sales in China are subject to predetermined regulations. It is a server provided to the person's terminal.

The web servers 20b and 20c are servers that provide the EC sites Sb and Sc of parallel imported products similar to the web server 20a to the terminal of the user. The EC sites Sa to Sc provided by the web servers 20a to 20c are, for example, sites such as Taobao, Amcat International, Kaola, etc. targeted at Chinese users, but are not limited thereto.

The SNS server 21 is, for example, a server that provides the user with an SNS site that can be used domestically in China (hereinafter referred to as “SNS site W”). Note that, in the present embodiment, examples of the social networking service provided by the SNS server 21 include, but are not limited to, Weibo and Wechat.

The terminal 22 is, for example, a computer such as a smartphone or tablet operated by a Japanese user, and displays information indicating a relationship between a foreign-made product analyzed by the analysis device 10 and information posted on the SNS site W. To receive. Then, the terminal 22 displays the received information on the screen 25 of the terminal 22 so that the user can understand the information.

It should be noted that, for example, in China, it is regulated to sell some "product X" manufactured in foreign countries at a store, but those "product X" may be purchased at the EC sites Sa to Sc. It is possible. Therefore, in such a situation, in principle, the "commodity X" is sold only through the EC sites Sa to Sc, and the number of sales of the EC sites Sa to Sc is the "commodity X" in China. It is almost equal to the sales number of ". In China, the SNS site W is widespread. Therefore, the analysis device 10 of the present embodiment analyzes the relationship between the demand for the “commodity X” and the information on the SNS site W in order to understand the relationship between them. Here, examples of the “commodity X” manufactured in a foreign country whose sales are regulated at a Chinese store include, but are not limited to, cosmetics, foods, supplements, and the like.

<<<Details of Analysis Device 10>>>
The analysis device 10 includes a CPU (Central Processing Unit) 30, a memory 31, a storage device 32, an input unit 33, a screen 34, and a communication device 35.

The CPU 30 executes, for example, a program stored in the memory 31 or the storage device 32.

The memory 31 is, for example, a RAM (Random Access Memory) or the like, and is used as a temporary storage area for programs, data, and the like.

The storage device 32 is a non-volatile storage means area such as a hard disk, and stores various information such as programs and data.

The input unit 33 is, for example, a keyboard or a mouse, and the operation result of the user of the analyzer 10 is input.

The screen 34 displays the operation result of the user and various kinds of information, and the communication device 35 exchanges various kinds of information with other devices and the like.

<<<Functional block realized by the analyzer 10>>>
FIG. 2 is a diagram showing an example of functional blocks implemented in the analysis device 10. The analysis apparatus 10 executes a program stored in the storage device 32 for performing analysis processing (described later). As a result, in the analysis device 10, the acquisition unit 50, the calculation units 51 and 54, the determination unit 52, the identification unit 53, and the transmission unit 55 are realized.

The acquisition unit 50 stores the sales quantity information I1 indicating the monthly sales quantity of a predetermined “product X” stored in the storage units (not shown) of the web servers 20a to 20c and the monthly sales of the “product X”. The price information I2 indicating the price of is acquired for the past two years (first period), for example.

Further, the acquisition unit 50 acquires the price of the “product X” in association with the number of sales of the “product X” so that the calculation unit 51 described later can calculate the sales of the “product X”. Specifically, for example, when the acquisition unit 50 acquires the number of sales of “product X” sold by “store T” of EC site Sa in May 2018, “product T” sold by “store T”. The price of X" in May 2018 is also acquired. In this way, the acquisition unit 50 obtains the sales quantity information I1 of the “commodity X” sold in the past two years and the price information I2 corresponding to the sales quantity information I1 via the EC sites Sa to Sc. get.

The calculation unit 51 (second calculation unit) calculates the sales of the “commodity X” sold at the EC sites Sa to Sc based on the sales quantity information I1 and the price information I2. For example, the calculation unit 51 first calculates the sales (=the number of sales×the price) of the “product X” for each store of the EC site Sa, and totals the sales of all the stores that sell the “product X”. .. The calculation unit 51 also performs the same calculation for the EC sites Sb and Sc, and finally calculates the sales of the “product X” sold at all the EC sites Sa to Sc.

The determination unit 52 determines whether or not there is a “trend F” indicating that the demand for the “commodity X” has increased from the sales of the “commodity X” for the past two years. Specifically, the determination unit 52 determines that there is a “trend F” indicating an increase in demand when the sales ratio of the “commodity X” for two consecutive months becomes 10 times, for example.

When it is determined that there is a “trend F” indicating an increase in demand, the identifying unit 53 displays, for example, “commodity” on the SNS site W in a period (second period) 5 months before the “trend F”. The user who has posted a message (information regarding a product) including the name of “X” itself, the brand name or nickname of “product X”, etc. is specified.

FIG. 3 is a diagram illustrating an example of the posting 100 of the user A on the SNS site W. The post 100 is a message saying, ““Product X” is good, please use it!”, and the post 100 includes the product name “Product X”. Therefore, the specifying unit 53 specifies the user A based on, for example, the post 100.

The calculation unit 54 (first calculation unit), based on the number of views and the number of appearances of the user's post identified by the identification unit 53, increases the demand for the “product X” and the “index Y” indicating the relationship with the user. To calculate. Here, the user's “post browsing number” and “post appearance frequency” will be described by taking the above-described user's 100 post 100 as an example.

For example, the number of views of the post 100 of the user A is counted as the number of followers of the user A who uses the SNS site W for a predetermined time (for example, 10 minutes) from the time when the post 100 is posted. The “follower” is another user who has a relationship (predetermined relationship) in which the user's post is displayed on the SNS site W of his account on the SNS site W. Therefore, in general, the greater the number of follow-ups by the user A, the more the number of views of the post 100 by the user A increases.

Further, for example, the post 100 may be quoted (shared) by the follower of the user A or the like on the SNS site W and a comment may be attached thereto. Therefore, in the present embodiment, the number of appearances of the post 100 of the user A is set as the number of times the post 100 of FIG. Therefore, for example, when the follower of the user A quotes many posts 100 on the SNS site W, the number of appearances increases.

Then, in general, as the number of views and the number of appearances of the post 100 including the “product X” increases, the post 100 contributes to an increase in the demand for the “product X”.

Therefore, the calculation unit 54 calculates the “index Y” of the user A based on the post 100, for example, using the following formula (1).

Y=Number of views×α+Number of appearances×β... (1)
Here, each of the coefficients α and β is a weighting coefficient with respect to the increase in the demand for the “commodity X”, the number of user A views, and the number of applications. Is. However, these values (0.3, 0.7, etc.) are examples, and the present invention is not limited to these.

Further, in the present embodiment, the calculation unit 54 calculates the “index Y” by using the formula (1), but the calculation unit 54 is not limited to this, and may be a formula considering other factors. Specifically, the number of evaluations indicating that another user has evaluated the post 100 (for example, the number of times "Like" was clicked on the post 100) or the number of selections of the post 100 (the number of clicks). ) May be included in the expression. In such an expression, for example, each of the “view count”, “application count”, “evaluation count”, and “selection count” may be weighted and addable.

The transmission unit 55 transmits the index Y calculated by the calculation unit 54 to the terminal 22. As a result, the user of the terminal 22 can confirm the index Y of the user on the screen 25.

<<<Example of analysis processing>>>
FIG. 4 is a flowchart showing an example of analysis processing executed by the analysis device 10. In the present embodiment, an example will be described in which the relationship between the demand for “product X” and the information on the SNS site W is analyzed at the time of August 2018, for example.

First, the acquisition unit 50 accesses the web servers 20a to 20c and acquires the sales quantity information I1 and the price information I2 of the "commodity X" (S10: acquisition processing). Specifically, the acquisition unit 50, for example, sales quantity information I1 indicating the sales quantity of the “commodity X” for each month (for each unit period) for two years from July 2016 to July 2018, and The price information I2 indicating the monthly price of the “commodity X” for two years is acquired.

Then, the calculation unit 51 calculates the sales of the “product X” from the sales quantity information I1 and the price information I2 of the “product X” acquired in the process S10 (S11). Specifically, the calculation unit 51 calculates the sales of the "product X" by multiplying the price corresponding to the number of monthly sales of the "product X" and adding all the multiplication results. FIG. 5 is an example showing, for example, a change in sales of the “commodity X” during the two years from July 2016 to July 2018. If there is no change in the price of “product X” for two years, the sales in FIG. 5 match the change in the number of sales of “product X”.

In FIG. 5, the sales of “product X” are almost constant from July to December 2016, but are rapidly increasing from December to January 2016. The sales since January 2017 have been increasing and decreasing.

Then, the determination unit 52 determines whether or not the sales of “product X” for the past two years include “trend F” in which the ratio of the sales of “product X” for two consecutive months is 10 times. Judgment (S12: judgment processing). Specifically, the determination unit 52 calculates the slope of sales of “commodity X” (sales (n+1)/sales (n)). Here, the sales (n) are sales in any month from July 2016 to June 2018, and the sales (n+1) are sales in the month following the sales (n). When the determination unit 52 determines that the “trend F” is not included in the sales of the “commodity X” for the past two years (S12: No), the series of processes ends.

On the other hand, when the determination unit 52 determines that the “promotion F” is included in the sales of the “commodity X” for the past two years (S12: Yes), the process S13 is executed. Here, in FIG. 5, for example, since the sales ratio between December 2016 and January 2017 exceeds 10 times, the determination unit 52 determines that the “trend F” is included.

After that, the identifying unit 53 accesses the SNS server 21 and posts the information about the “product X” to the SNS site W in the period (July to November 2016) 5 months before the occurrence of the “trend F”. The user is specified (S13). The identifying unit 53 distinguishes the posting of the message of “product X” (for example, posting 100 in FIG. 3) from the quoting (share) of the posting 100 and the like, and does not identify the user who cites the posting. Further, in the present embodiment, for example, it is assumed that, for example, from July to November 2016, the number of users who posted a message regarding “product X” to the SNS site W is 10 users A to J.

The calculation unit 54 calculates “index Y” indicating the relationship between the increase in demand for “commodity X” and each of the users A to J using, for example, formula (1) (S14). FIG. 6 is a diagram in which, of the calculation results in the processing S14, a user having a high value of the “index Y”, that is, a user having a high correlation with an increase in demand for the “commodity X” is selected and shown. Note that, here, for convenience, only the user having a high “index Y” is shown among the 10 users A to J. As shown in FIG. 6, for example, the "index Y" of each of the users C, A, D, and D is "50", "24", "17", and "7", so that Of these, it is estimated that the user C is the user who most affected the increase in the demand for the “commodity X”.

Then, the transmission unit 55 transmits the “index Y” calculated by the calculation unit 54 to the terminal 22 (S15). As a result, the user of the terminal 22 can quantitatively understand, for example, the user who has influenced the increase in demand for the “product X”. In addition, if the user (for example, influencer) who has influenced the increase in the demand of “product X” can be grasped, the seller of “product X” will inform the influencer of the SNS site W in the future. You can request to introduce a new product through. As a result, it becomes possible to efficiently advertise and advertise new products.

<<<Summary>>>
The analyzer 10 of the present embodiment has been described above. In the present embodiment, for example, when there is a “trend F” in which the sales (or the number of sales) has increased due to the change in the sales (or the number of sales) of the “product X” in the past two years, the information of the “product X” is displayed. The user of the posted SNS site W is specified. Then, the calculation unit 54 calculates the “index Y” indicating the relationship between the increase in demand for the “commodity X” and the user. As described above, the number of sales of “product X” on the EC sites Sa to Sc is almost equal to the number of sales of “product X” in China. Under such a situation, the correlation between the increase in demand for “product X” on the Internet and the posting by the user of the SNS site W on the Internet becomes stronger. Therefore, by referring to the “index Y”, the user can quantitatively understand the increase in demand for the “commodity X” and the relationship with the user.

In addition, whether or not there is a “trend F” in which the sales (or the number of sales) has increased in the change of the sales (or the number of sales) of the “commodity X” in the past two years, for example, the sales is a predetermined value (or the sales) The determination may be made based on whether the number exceeds a predetermined number. However, in such a case, for example, there are cases where it is difficult to understand the “trend F” because the number of “commodity X” sold at normal times is very large. In the present embodiment, since it is determined whether or not there is a "trend F" based on the ratio of sales of "product X" for two consecutive months, regardless of the absolute value of the number of sales at normal times, The presence/absence of “trend F” can be accurately determined.

Further, in the present embodiment, when a plurality of “trends F” are included in the change in the sales (or the number of sales) of the “commodity X” in the past two years, at least the oldest “trend F” is demanded. The specifying unit 53 specifies the user as the timing at which Therefore, in the present embodiment, the user who first contributed to the increase in the demand for “product X” can be specified.

Further, the transmission unit 55 transmits the “index Y” calculated by the calculation unit 54 to the terminal 22. Generally, it is restricted to transmit the information acquired at the EC sites Sa to Sc etc. to the outside of China. However, the “index Y” can be transmitted to the outside of China (for example, Japan), and even the seller of the “product X” residing in Japan can display the screen of the terminal 22 provided in Japan. By referring to 25, it is possible to grasp the user who has influenced the sales of “product X”.

Further, in the present embodiment, it is determined whether or not there is a “trend F” in which the sales are increased instead of the sales number. Therefore, the relationship between the sales of the “product X” and the user of the SNS site W is accurately determined. Can be grasped.

Further, in general, it may take about 1 to 5 months from the introduction of the “product X” on the SNS site W until the actual demand on the EC site Sa or the like increases. In the present embodiment, the user who has posted the information regarding the “product X” to the SNS site W is specified within a period of 5 months from the timing of the “trend F”. Therefore, the analysis device 10 can accurately analyze the increase in the demand for the “commodity X” and the relationship with the user.

Further, generally, the number of posts to the SNS site W may be browsed more often than that of blogs on the Internet. In this embodiment, since the information on the “product X” posted on the SNS site W is used, it is possible to accurately grasp the information regarding the increase in the demand for the “product X”.

The above-described embodiments are for facilitating the understanding of the present invention, and are not for limiting the interpretation of the present invention. Further, it is needless to say that the present invention can be modified or improved without departing from the spirit of the present invention and that the present invention includes equivalents thereof. For example, the following modifications are possible.

For example, when a plurality of “trends F” are included in the change in the sales (or the number of sales) of the “commodity X” in the past two years, the identifying unit 53 identifies the user for all “trends F”. May be. In such a case, it is possible to specify all the users who have affected the increase in sales.

Although the program for executing the analysis process is stored in the storage device 32, it is stored in, for example, a medium (DVD: Digital Versatile Disc) for storing data, and the program of the analysis device 10 is stored in the storage device 32. It may be executed by the CPU 30.

Further, in the present embodiment, the web servers 20a to 20c and the SNS server 21 are provided in, for example, China, and the terminal 22 is provided in Japan, but the present invention is not limited to this. For example, all the devices may be provided in the same country (for example, Japan). Even in such a case, when the product introduced on the SNS site has a higher ratio of being sold on the EC site than the general store, the use of this embodiment increases the sales of the user of the SNS site and the sales. You can grasp the quantitative correlation with the product.

Further, it is also possible to supply the program to the computer by using a non-transitory computer readable medium readable an executable program the non-transitory computer readable medium in which the executable program is stored. Note that examples of non-transitory computer-readable media include magnetic recording media (for example, flexible disks, magnetic tapes, hard disk drives), CD-ROMs (Read Only Memory), and the like.

10 Analyzing Devices 20a to 20c Web Server 21 SNS Server 22 Terminal 25 Screen 30 CPU
31 memory 32 storage device 33 input unit 34 screen 35 communication device 50 acquisition units 51, 54 calculation unit 52 determination unit 53 identification unit 55 transmission unit

Claims (9)

An acquisition unit that accesses a web server that provides information on a shopping site that sells a predetermined product and acquires sales number information that indicates the number of sales of the predetermined product for each unit period in the first period,
A determination unit that determines whether or not there is a predetermined tendency indicating that the demand for the predetermined product has increased in the first period based on the sales quantity information;
When the determination unit determines that the predetermined tendency is present, in the second period before the timing when the predetermined tendency occurs, the user who posts information about the predetermined product to a predetermined SNS site is specified. Department,
A first calculator that calculates an index indicating a relationship between the increase in demand for the predetermined product and the user based on the number of times the user has viewed the post and the number of appearances of the post;
Equipped with
The predetermined product is a product outside the predetermined region, where a predetermined regulation is imposed on sales at stores in the predetermined region,
The shopping site is a site for users in the predetermined area,
An information processing device characterized by: The information processing apparatus according to claim 1, wherein
The determination unit,
When the ratio of the number of sales of the predetermined product in two consecutive periods of the plurality of unit periods included in the first period reaches a predetermined value, it is determined that there is the predetermined tendency.
An information processing device characterized by: The information processing apparatus according to claim 1 or 2, wherein
The specifying unit is
When the determination unit determines that there are a plurality of the predetermined tendencies in the first period, the second tendency that is earlier than the predetermined tendency that is at least temporally oldest among the plurality of the predetermined tendencies. Identifying the user who made the posting during the period,
An information processing device characterized by: The information processing apparatus according to any one of claims 1 to 3,
Further comprising a transmission unit for transmitting the calculation result of the first calculation unit to a terminal provided outside the predetermined area,
An information processing device characterized by: The information processing apparatus according to any one of claims 1 to 4,
Further comprising a second calculation unit for calculating sales of the predetermined product in the first period,
The acquisition unit is
Accessing the web server to obtain price information indicating the price of the predetermined product in the first period,
The second calculator is
Calculating sales for each unit period of the predetermined product in the first period based on the sales quantity information and the price information,
The determination unit,
Determining whether or not there is the predetermined tendency in the first period based on the sales calculated by the second calculator.
An information processing device characterized by: The information processing apparatus according to any one of claims 1 to 5,
The second period is within 5 months,
An information processing device characterized by: The information processing apparatus according to any one of claims 1 to 6,
The information on the predetermined product is information posted to a predetermined social networking service,
An information processing device characterized by: A step of accessing a web server that provides information on a shopping site that sells a predetermined product and acquiring sales number information indicating the number of sales of the predetermined product per unit period in the first period;
Determining whether or not there is a predetermined tendency indicating that the demand for the predetermined product has increased in the first period based on the sales quantity information;
When it is determined that the predetermined tendency is present, a step of specifying a user who posted information about the predetermined product to a predetermined SNS site in a second period before the timing when the predetermined tendency occurs,
Calculating an index indicating a relationship between the increase in demand for the predetermined product and the user based on the number of views and the number of appearances of the post by the user,
Equipped with
The predetermined product is a product outside the predetermined region, where a predetermined regulation is imposed on sales at stores in the predetermined region,
The shopping site is a site for users in the predetermined area,
An information processing method characterized by: On the computer,
An acquisition process of accessing a web server that provides information on a shopping site that sells a predetermined product, and acquiring sales number information indicating the number of sales of the predetermined product for each unit period in the first period;
Determination processing for determining whether or not there is a predetermined tendency indicating that the demand for the predetermined product has increased in the first period based on the sales number information;
When it is determined that there is the predetermined tendency, a specifying process for specifying a user who has posted information about the predetermined product to a predetermined SNS site in a second period before the timing when the predetermined tendency occurs. ,
A first calculation process for calculating an index indicating a relationship between the increase in demand for the predetermined product and the user, based on the number of views and the number of appearances of the post by the user;
Run
The predetermined product is a product outside the predetermined region, where a predetermined regulation is imposed on sales at stores in the predetermined region,
The shopping site is a site for users in the predetermined area,
An information processing program characterized by:

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