JP2004220074A - Net shopping method and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide joys in net shopping. <P>SOLUTION: The order of products constituting each group of products, the relationship between customers and the products, and the relationship among the products are managed in a relationship DB 15. At the start of shopping, of the products having relationships (recommended) with the customers, the product with the highest degree of relationship corresponding to the relationship "recommended" is selected as the product to be currently displayed. Further, the product to be currently displayed is displayed in a 3D space and the group of products in which the product is included is selected as the group of products to be currently displayed. Searches for the product and the group of products with a relationship (simultaneous buying) are performed and the group of products is displayed together with the product to be currently displayed. <P>COPYRIGHT: (C)2004,JPO&NCIPI

Description

【００３５】
【表２】

【００３６】
【表３】

このような状況で、ユーザ端末２（顧客Ｄ）から製品表示要求がネットワーク３を介してネットショッピングサーバ１に送信されてくると、これが要求送受信部１１で受信され、ネットショッピング１３を経て関連性検索部１２に送られる。関連性検索部１２は関連性ＤＢ１５の表２から顧客Ｄと関連性（「推奨」）を持った製品を検索する。ネットショッピング部１３は顧客Ｄと関連性（「推奨」）を持った製品である製品Ｐ１７、Ｐ１４、Ｐ１５、Ｐ１３のうち関連度が最も大きい製品Ｐ１７を、「現在掲示する製品」として、その空間情報を要求送受信部１１からネットワーク３を介してユーザ端末２に送信する。ユーザ端末２の３Ｄブラウザ２２は空間情報に含まれている製品Ｐ１７をディスプレイ装置２３に３Ｄ空間に表示する。ネットショッピングサーバ１の関連性検索部１２は製品Ｐ１７が含まれる製品群である製品群Ｇ１を「現在掲示する製品群」とし、製品Ｐ１７と関連性（「併買」）を持った製品群（製品Ｐ２２、Ｐ２３）を関連性ＤＢ１５の表３から検索する。関連性生成部１４は製品Ｐ２２、Ｐ２３を含む空間情報を生成し、要求送受信部１１からユーザ端末２に送信する。ユーザ端末２の３Ｄブラウザ２２は製品Ｐ２２、Ｐ２３を「現在掲示する製品」Ｐ１７とともにディスプレイ装置２３の画面に表２に示すように掲示する。ここで、仮に、顧客Ｄが製品Ｐ２２を選択した時には、その製品Ｐ２２を「現在掲示する製品」とする。また、仮に、顧客Ｄが製品を選択しない時には、現在掲示する製品群（製品群Ｇ１）において、現在掲示されている製品Ｐ１７の次の製品（製品Ｐ１４）を、「現在掲示する製品」とする。
【００３７】
この例では、全ての製品は「順序付けられた製品群として未登録」の状態から処理を開始し、「順序付けられた製品群」として登録された時点で、この製品群から削除されていく。
【００３８】
例２．
関連性ＤＢ１５は、表４に示すように、順序と製品の情報からなる、起点となる製品群、表５と表６に示すように、関連種別（「類似」または「併買」）と関連元製品と関連先製品と関連度の情報を含む、製品と製品の関連性を管理しているものとする。
【００３９】
【表４】

【００４０】
【表５】

【００４１】
【表６】

まず、関連性検索部１２は表４の起点となる製品群から、ある製品（製品Ｐ１７）を取得し、順序付けられた製品群（空集合）として未登録の製品群から、その製品（製品Ｐ１７）とある関連性（「類似」）を持った製品群（製品Ｐ１４、製品Ｐ１５、製品Ｐ１３）を表５から検索し、その製品群を、その関連性に対応する関連度（１、０．９、０．８）により順序（１、２、３）付けし、元の製品（製品Ｐ１７）を、その製品群の先頭（０）に追加し、その製品群を、順序付けられた製品群として、表７のように登録する。
【００４２】
【表７】

その製品群（製品群Ｇ１）に含まれる製品（製品Ｐ１７、製品Ｐ１４、製品Ｐ１５、製品Ｐ１３）について、順序付けられた製品群（製品Ｐ１７、製品Ｐ１４、製品Ｐ１５、製品Ｐ１３）として未登録の製品群から、その製品（製品Ｐ１７、製品Ｐ１４、製品Ｐ１５、製品Ｐ１３）とある関連性（「併買」）を持った製品群（製品Ｐ２２、製品Ｐ３３）を表６から検索し、起点となる製品群に、その製品群を追加する。追加後の起点となる製品群は、表８のようになる。
【００４３】
【表８】

この時点で、起点となる製品群（製品Ｐ２２、製品Ｐ３３）が空ではないので、上記の手順が操りされる。
【００４４】
例３．
関連性ＤＢ１５は顧客の属性情報と製品属性情報をそれぞれ表９、表１０に示すような変数で管理しているものとする。
【００４５】
【表９】

【００４６】
【表１０】

このような状況で、顧客Ｃが製品Ｐ６を操作（購入）した時には、ネットショッピング部１３は顧客Ｃの属性情報（表９）と、製品Ｐ６の属性情報（表１０）を用いて、製品Ｃの属性情報を更新する。例えば、顧客と製品の属性値の平均を新しい製品の属性値とする場合、新しい製品Ｐ６の属性情報は、表１１のようになる。
【００４７】
【表１１】

また、製品Ｐ６以外の製品の属性情報について、表１２に示すような変数で関連性ＤＢ１５で管理されているものとする。
【００４８】
【表１２】

このような状況で、ネットショッピング部１３は顧客Ｃに対して、すべての製品について、顧客Ｃの属性情報と、製品（製品Ｐ６、製品Ｐ７、製品Ｐ８、製品Ｐ９）の属性情報との尤度を計算する。例えば、顧客と製品の属性情報同士の方向余弦ｃｏｓθ
【００４９】
【数１】

を用いて尤度を計算すると、表１３の結果を得る。
【００５０】
【表１３】

ネットショッピング部１３はある一定以上の尤度（ｃｏｓ３０°＝０．８６６）にある製品群について、顧客Ｃと製品群に含まれる製品（製品Ｐ６、製品Ｐ８）との間に、「推奨」という関連性を管理し、顧客Ｃと製品との「推奨度」という関連度（０．９８１９８１、０．９４４９１１）として、その尤度を管理する。
【００５１】
例４．
操作履歴ＤＢ１７には過去の操作履歴（購入、取置、選択）について、表１４のような変数が管理されている。
【００５２】
【表１４】

関連性生成部１４は表１４の過去の操作履歴（購入、取置、選択）において、同一顧客（顧客Ａ、顧客Ｂ）が、同一セション内（セション０００１、セション０００２）において操作（購入）した製品同士（製品Ｐ１、製品Ｐ２）に、表１５に示すように、「併買」という関連性を管理し、その数「２」を、その製品同士の「併買度」という関連度として操作履歴ＤＢ１７で管理する。
【００５３】
【表１５】

なお、本発明におけるセションは、システムへのログインからログアウト（認証、製品の閲覧、選択、取置、購入）までの一連の手順を表現している。
【００５４】
例５．
操作履歴ＤＢ１７には過去の操作履歴（購入、取置、選択）について、表１６のような変数が管理されている。
【００５５】
【表１６】

関連性生成部１４は表１４の過去の操作履歴（購入、取置、選択）において、同一顧客（顧客Ａ）が、同一カテゴリ（カテゴリ０００１）内において、操作（購入）した製品同士に、表１７に示すように、「類似」という関連性を管理し、その数「１」を、その製品同士の「類似度」という関連度として管理する。
【００５６】
【表１７】

なお、本発明は専用のハードウェアにより実現されるもの以外に、その機能を実現するためのプログラムを、コンピュータ読み取り可能な記録媒体に記録して、この記録媒体に記録されたプログラムをコンピュータシステムに読み込ませ、実行するものであってもよい。コンピュータ読み取り可能な記録媒体とは、フロッピーディスク、光磁気ディスク、ＣＤ−ＲＯＭ等の記録媒体、コンピュータシステムに内蔵されるハードディスク装置等の記憶装置を指す。さらに、コンピュータ読み取り可能な記録媒体は、インターネットを介してプログラムを送信する場合のように、短時間の間、動的にプログラムを保持するもの（伝送媒体もしくは伝送波）、その場合のサーバとなるコンピュータシステム内部の揮発性メモリのように、一定時間プログラムを保持しているものも含む。
【００５７】
【発明の効果】
以上説明したように、本発明によれば、顧客に対して、ネットショッピングにおける「楽しさ」を提供でき、ネットショッピングの普及を促進できる効果がある。
【図面の簡単な説明】
【図１】本発明が適用されるネットショッピングシステムの構成図である。
【図２】本発明による３Ｄ空間内の製品の掲示例を示す図である。
【図３】本発明による３Ｄ空間内の製品の掲示例を示す図である。
【符号の説明】
１ ネットショッピングサーバ
２ ユーザ端末
３ ネットワーク
１１ 要求送受信部
１２ 関連性検索部
１３ ネットショッピング部
１４ 関連性生成部
１５ 関連性ＤＢ
１６ ネットショッピングＤＢ
１７ 操作履歴ＤＢ
２１ 要求送受信部
２２ ３Ｄブラウザ部
２３ ディスプレイ装置[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a net shopping method for purchasing products arranged in a 3D space using a 3D browser.
[0002]
[Prior art]
A 3D net shopping system displays product information in each window arranged on a 3D browser, so that a customer can select a desired product from a large number of products (selection), and take a shopping basket. This is a system that allows placing (holding) and settlement (purchasing).
[0003]
The 3D browser, unlike the conventional 2D (WWW) browser, is a browser that arranges contents in a three-dimensional space and allows browsing of contents by freely moving around in the space. InfoLead (Patent Literature 1) developed at a research institute is a typical example.
[0004]
[Patent Document 1]
JP 2000-099232 A
[Problems to be solved by the invention]
In the conventional Internet shopping, only the minimum functions required for shopping (for example, product selection, placement, purchase, etc.) have been provided. However, in actual shopping, "fun" is often required for shopping, and lack of "fun" has been a factor that hinders the spread of online shopping. In addition, "fun" in online shopping is considered to be composed of several elements ("discovery" and "enjoyment").
[0006]
An object of the present invention is to provide a net shopping method for providing "enjoyment" in online shopping to a customer.
[0007]
[Means for Solving the Problems]
The present invention manages the ordering of products constituting each product group, the relationship between customers and products, and the relationship between products and products using variables in order to purchase products displayed in a 3D space using a 3D browser. .
[0008]
At the start of shopping, among the products having a certain relationship with the customer, the product with the highest degree of relevance corresponding to the relevance is set as the product to be posted at present. A product to be posted is displayed in the 3D space, a product group including the product is set as a product group to be currently displayed, and a product group having a certain relationship with the product is searched. Post a group. When the customer selects a product from the posted product group, the product is made the currently posted product. When the customer does not select a product from the posted product group, the product in the next order of the currently posted product of the currently posted product group is the currently posted product, and when the next product does not exist, the currently posted product is displayed. The product at the head of the product group to be posted is the product to be posted.
[0009]
In the embodiment of the present invention, in order to create an ordered product group, a product group as a starting point and a relationship between products are managed by variables. First, a certain product is obtained from a product group serving as a starting point, and a product group having a certain relationship with the product is searched for from an unregistered product group as an ordered product group. Ordered by the degree of relevance corresponding to its relevance, added the searched product group to the beginning of the original product, added the original product to the beginning of the product group, and ordered the product group Register as a product group. For the products included in the product group, search for a product group that has a certain relationship with the product from the unregistered product group as an ordered product group, and add the searched product group to the starting product group I do. The above procedure is repeated until the starting product group is empty.
[0010]
In the embodiment of the present invention, in order to extract the association between the customer and the product, the attribute information of the customer and the attribute information of the product are managed by variables. When a certain customer operates (purchase, reserve, select) a certain product, the attribute information of the product is updated using the attribute information of the customer and the attribute information of the product. For each product, calculate the likelihood between the attribute information of the customer and the attribute information of the product. For a product group with a certain likelihood or higher, the product and the products included in the product group are calculated. , And “recommended”, and manages the likelihood as the degree of “recommended” between the customer and the product.
[0011]
According to the embodiment of the present invention, in order to extract the relevance of a product and a product, in the past operation history (purchase, reservation, selection), the same customer performs the operation (purchase, reservation, selection) in the same session. ) Are managed by the relationship of "joint purchase", and the number is managed as the relevance of "joint purchase degree" of the products.
[0012]
According to the embodiment of the present invention, in order to extract the relevance between products, in the past operation history (purchase, reservation, selection), the same customer performs the operation (purchase, reservation, selection) within the same category. ) Are managed with the relation of “similarity”, and the number is managed as the degree of relation of “similarity” between the products.
[0013]
The present invention provides "discovery" in online shopping in which a user can enjoy a large amount of product browsing using a 3D browser, and also provides discovery to other product groups while browsing a certain similar product group. It provides "fun".
[0014]
BEST MODE FOR CARRYING OUT THE INVENTION
Next, embodiments of the present invention will be described with reference to the drawings.
[0015]
FIG. 1 is a configuration diagram of an online shopping system according to an embodiment of the present invention.
[0016]
This system comprises an online shopping server 1, a user terminal 2, and a network 3. Although only one user terminal 2 is shown for convenience, there are actually many user terminals 2.
[0017]
The online shopping server 1 has a request transmission unit 11, a relevancy search unit 12, a net shopping unit 13, and a relevance generation unit 14, and a relevance DB 15, a net shopping DB 16, and an operation history DB 17 are connected.
[0018]
The relevance DB 15 manages related product groups, relevance and relevance between customers and products, relevance between products and products, and the relevance.
[0019]
The net shopping DB 16 manages the ordering of products constituting each product group, the relationship between customers and products, and the relationship between products and products by using variables.
[0020]
The operation history DB 17 holds operation histories (purchase, placement, selection) for each customer's product.
[0021]
The request receiving unit 11 receives a product display request from the user terminal 2 via the network 3 and transmits spatial information to the user terminal 2 via the network 3.
[0022]
The relevancy search unit 12 obtains a search result from the relevancy DB 15 using the product or customer as a search key.
[0023]
The Internet shopping unit 13 creates an ordered product group based on the search result by the relevancy search unit 12, generates spatial information including the ordered product group, and outputs the spatial information as a response to the product display request via the request transmitting / receiving unit 11. The information is transmitted to the user terminal 2.
[0024]
Here, "spatial information" means data in a format that can be interpreted by a 3D browser. The initial InfoLead (one implementation of a 3D browser) has the following data items using a unique format (CSV format).
[0025]
Product ID, X-coordinate, Y-coordinate, Z-coordinate, URL to image, operation at the time of clicking On the other hand, in the current implementation of 3D browser, X3D (http://www.web3d.org/x3d.html) or VRML97 ( ISO / IEC 14772: 1997).
[0026]
The relevance generation unit 14 searches the operation history DB 17 to generate a relevance based on the operation history (purchase, placement, selection), and stores the relevance in the relevance DB 15.
[0027]
The user terminal 2 includes a request transmission / reception unit 21, a 3D browser unit 22, and a display device 23.
[0028]
The request transmission / reception unit 21 transmits a product display request to the advertisement posting server 1 via the network 3, and activates the 3D browser unit 22 when receiving spatial information from the advertisement posting server 1 as a response to the product display request.
[0029]
The 3D browser unit 22 displays the 3D space on the display device 23 based on the space information.
[0030]
The network 3 connects the product display server 1 and the user terminal 2 to each other, and includes the Internet, a public communication network, and the like.
[0031]
Next, an operation example of the present embodiment will be described with a specific example.
[0032]
When a customer uses the online shopping server 1, the online shopping server 1 authenticates the customer.
[0033]
Example 1
The relevance DB 15 includes an ordered product group composed of product group, order, and product information as shown in Table 1, and an association type (“recommended”) and an association source (customer) as shown in Table 2. , Related destinations (products), and information on the degree of relevance, as shown in Table 3, and information on related types ("joint purchase"), related sources (products), and related destinations (products) as shown in Table 3. , And manages the relationship between products.
[0034]
[Table 1]

[0035]
[Table 2]

[0036]
[Table 3]

In such a situation, when a product display request is transmitted from the user terminal 2 (customer D) to the net shopping server 1 via the network 3, the request is transmitted and received by the request transmission / reception unit 11, and is transmitted through the net shopping 13. It is sent to the search unit 12. The relevancy search unit 12 searches for a product having relevance (“recommended”) with the customer D from Table 2 of the relevance DB 15. The net shopping unit 13 designates the product P17 having the highest degree of relevance among the products P17, P14, P15, and P13 which are products having relevance (“recommended”) to the customer D as a “currently posted product” in that space. Information is transmitted from the request transmission / reception unit 11 to the user terminal 2 via the network 3. The 3D browser 22 of the user terminal 2 displays the product P17 included in the space information on the display device 23 in the 3D space. The relevancy search unit 12 of the online shopping server 1 sets the product group G1, which is a product group including the product P17, as a “currently posted product group”, and a product group (product) having a relevance (“joint purchase”) with the product P17. P22, P23) are retrieved from Table 3 of the relevance DB15. The relevance generating unit 14 generates spatial information including the products P22 and P23, and transmits the spatial information from the request transmitting / receiving unit 11 to the user terminal 2. The 3D browser 22 of the user terminal 2 posts the products P22 and P23 on the screen of the display device 23 as shown in Table 2 together with the “currently posted product” P17. Here, if the customer D selects the product P22, the product P22 is referred to as a “product to be currently displayed”. If the customer D does not select a product, the product (product P14) next to the currently posted product P17 in the currently posted product group (product group G1) is referred to as "currently posted product". .
[0037]
In this example, all products start processing from the state of “not registered as ordered product group”, and are deleted from this product group when they are registered as “ordered product group”.
[0038]
Example 2.
The relevance DB 15 includes, as shown in Table 4, a product group serving as a starting point, which includes order and product information, and as shown in Tables 5 and 6, a relation type ("similar" or "co-purchase") and an origin Assume that you manage the relevance of products and products, including information on products and related products and the degree of relevance.
[0039]
[Table 4]

[0040]
[Table 5]

[0041]
[Table 6]

First, the relevancy search unit 12 obtains a certain product (product P17) from the product group serving as the starting point in Table 4, and extracts the product (product P17) from an unregistered product group as an ordered product group (empty set). ) And a product group (product P14, product P15, product P13) having a certain relevance ("similarity") are retrieved from Table 5, and the product group is referred to as a relevance (1, 0. 9, 0.8), the original product (product P17) is added to the head (0) of the product group, and the product group is set as an ordered product group. , As shown in Table 7.
[0042]
[Table 7]

For products (product P17, product P14, product P15, product P13) included in the product group (product group G1), unregistered products as ordered product groups (product P17, product P14, product P15, product P13) From the group, a product group (product P22, product P33) having a certain relevance (“purchase”) with the product (product P17, product P14, product P15, product P13) is searched from Table 6, and the starting product Add the product group to the group. The starting product group after the addition is as shown in Table 8.
[0043]
[Table 8]

At this point, since the starting product group (product P22, product P33) is not empty, the above procedure is operated.
[0044]
Example 3
Assume that the relevance DB 15 manages customer attribute information and product attribute information using variables as shown in Tables 9 and 10, respectively.
[0045]
[Table 9]

[0046]
[Table 10]

In such a situation, when the customer C operates (purchases) the product P6, the net shopping unit 13 uses the attribute information of the customer C (Table 9) and the attribute information of the product P6 (Table 10). Update attribute information of. For example, when the average of the attribute values of the customer and the product is used as the attribute value of the new product, the attribute information of the new product P6 is as shown in Table 11.
[0047]
[Table 11]

It is also assumed that attribute information of products other than the product P6 is managed in the relevance DB 15 using variables as shown in Table 12.
[0048]
[Table 12]

In such a situation, the net shopping unit 13 provides the customer C with the likelihood between the attribute information of the customer C and the attribute information of the products (product P6, product P7, product P8, and product P9) for all products. Is calculated. For example, the direction cosine cosθ between the attribute information of the customer and the product
[0049]
(Equation 1)

The result of Table 13 is obtained by calculating the likelihood using.
[0050]
[Table 13]

The net shopping unit 13 calls “recommended” between the customer C and the products (products P6 and P8) included in the product group with respect to the product group having a certain likelihood (cos 30 ° = 0.866) or more. The relevance is managed, and the likelihood is managed as a relevance (0.981981, 0.944911) called “recommendation” between the customer C and the product.
[0051]
Example 4.
The operation history DB 17 manages variables as shown in Table 14 for past operation history (purchase, placement, selection).
[0052]
[Table 14]

In the past operation history (purchase, reservation, selection) of Table 14, the relevance generation unit 14 has operated (purchased) the same customer (customer A, customer B) in the same session (session 0001, session 0002). As shown in Table 15, the relationship between products (product P1 and product P2) is managed as “joint purchase”, and the number “2” is set as the degree of association between products as “joint purchase degree”. Manage with.
[0053]
[Table 15]

The session according to the present invention represents a series of procedures from login to the system to logout (authentication, browsing, selecting, placing, and purchasing a product).
[0054]
Example 5
The operation history DB 17 manages variables as shown in Table 16 for past operation history (purchase, placement, selection).
[0055]
[Table 16]

In the past operation history (purchase, placement, selection) of Table 14, the relevance generation unit 14 displays the same customer (customer A) in the same category (category 0001) between products operated (purchased). As shown in FIG. 17, the relevance of “similarity” is managed, and the number “1” is managed as the relevance of “similarity” between the products.
[0056]
[Table 17]

In addition, the present invention records a program for realizing the function other than that realized by dedicated hardware on a computer-readable recording medium, and stores the program recorded on the recording medium in a computer system. It may be read and executed. The computer-readable recording medium refers to a recording medium such as a floppy disk, a magneto-optical disk, a CD-ROM, or a storage device such as a hard disk device built in a computer system. Further, the computer-readable recording medium is one that dynamically holds the program for a short time (transmission medium or transmission wave), such as a case where the program is transmitted via the Internet, and serves as a server in that case. It also includes those that hold programs for a certain period of time, such as volatile memory inside a computer system.
[0057]
【The invention's effect】
As described above, according to the present invention, "enjoyment" in online shopping can be provided to customers, and there is an effect that the spread of online shopping can be promoted.
[Brief description of the drawings]
FIG. 1 is a configuration diagram of a net shopping system to which the present invention is applied.
FIG. 2 is a view showing an example of posting a product in a 3D space according to the present invention.
FIG. 3 is a view showing an example of posting a product in a 3D space according to the present invention.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 Net shopping server 2 User terminal 3 Network 11 Request transmission / reception part 12 Relevance search part 13 Net shopping part 14 Relevance generation part 15 Relevance DB
16 Internet shopping DB
17 Operation history DB
21 Request transmitting / receiving unit 22 3D browser unit 23 Display device

Claims (6)

In an online shopping method for purchasing a product displayed in a 3D space using a 3D browser,
Manage the ordering of products that make up each product group, the relevance of customers and products, and the relevance of products to products with variables,
At the start of shopping, the product with the highest relevance corresponding to that relevance among the products related to the customer is the product to be posted,
A product to be posted is displayed in the 3D space, a product group including the product is set as a product group to be currently displayed, and a product group having a certain relationship with the product is searched. Post a group,
When the customer selects a product from the posted product group, that product is the currently posted product,
When the customer does not select a product from the posted product group, the product in the next order of the currently posted product of the currently posted product group is the currently posted product, and when the next product does not exist, the currently posted product is displayed. An online shopping method, wherein the first product in a group of products to be posted is a product to be currently posted. To create an ordered product family,
The starting product group, the relationship between products and products are managed by variables,
Acquire a product from the starting product group,
From the unregistered product group as an ordered product group, search for a product group having a certain relationship with the product,
The searched products are ordered by relevance corresponding to their relevance,
Register the searched product group as an ordered product group with the product,
For the products included in the product group, a product group having a certain relationship with the product is searched from an unregistered product group as an ordered product group,
Add the original product to the beginning of the product family,
Add the searched product group to the starting product group,
2. The online shopping method according to claim 1, wherein the above steps are repeated until the starting product group becomes empty. To extract the relationship between customers and products, manage customer attribute information and product attribute information using variables,
When a certain customer operates a certain product, the attribute information of the product is updated using the attribute information of the customer and the attribute information of the product,
For a given customer, for all products, calculate the likelihood between the attribute information of the customer and the attribute information of the product. 2. The net shopping method according to claim 1, wherein the products included are managed by a relationship of "recommended", and the likelihood is managed as a relationship of "recommended degree" between the customer and the product. . In order to extract the relationship between products, the same customer manages the products operated by the same customer in the same session in the past operation history with the relationship of "joint purchase", and counts the number of products The online shopping method according to claim 2, wherein the degree of association is managed as a “degree of parallel purchase”. In order to extract the relationship between products and products, in the past operation history, the same customer manages operated products in the same category with the similarity of "related", and the number of products is managed by The online shopping method according to claim 2, wherein the degree of similarity is managed as a degree of similarity. An online shopping program for causing a computer to execute the method according to any one of claims 1 to 5.

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