JP4251897B2 - Product information providing method and program - Google Patents

Description

[0001]
[Technical field to which the invention belongs]
The present invention relates to an information processing technique for enhancing merchandise sales content.
[0002]
[Prior art]
Conventionally, in online shopping, a user generally obtains information on a product price by accessing a web site (hereinafter abbreviated as a site) of a store that handles a desired product. there were. If the dealer handling the product is unknown, it is possible to know the dealer's site by inputting a keyword related to the product at the search site and performing a search. There are also sites (hereinafter referred to as price comparison sites) that can compare prices of dealers that handle the same product. In such a site, the product price of each store registered in the site is listed for each product, and the user can select, for example, the cheapest store among them.
[0003]
In addition, there is a technology that enables purchase by searching for products from catalog information of various stores (see, for example, Patent Document 1). That is, the sales company generates an electronic catalog of the sales product, the server system automatically collects the electronic catalog, and the purchasing company asks the search function for a catalog search for the product, receives the search results, A request for quotation is made to the quotation function, and the quotation function returns a quotation for the product, or the sales person at the sales company inputs the contents of the quotation reply and answers, and the purchasing company receives the quotation response and places an order The ordering data is sent to the ordering function, and the ordering function transfers the data to the sales company side as the predetermined electronic transaction information, and receives the delivery date information and the shipping status output from the sales company side into the database. In addition to storing, a delivery date response and a shipping status display are made according to the request of the purchasing company.
[0004]
[Patent Document 1]
Japanese Patent Laid-Open No. 2001-265981
[0005]
[Problems to be solved by the invention]
However, in such a conventional technique, even a store that handles a product desired by the user may be lost from the purchase target of the user. In other words, if the user originally does not know the store site, even if the store sells the product at the cheapest price compared to other stores, if it is not registered on the price comparison site, It is never known to the user. In addition, if the content of the site is not substantial, the search on the search site may not be hit. For example, when a user performs a search by specifying a product name and a color as a keyword, the search is not successful unless color information is included in the store site. As a result, the retailer misses the sales opportunity, while the user misses the opportunity to purchase, for example, at the cheapest price.
[0006]
Accordingly, an object of the present invention is to provide a novel information processing technique for enriching the contents of a merchandise sales site.
[0007]
[Means for Solving the Problems]
The product information providing method according to the present invention includes a statistical data registration step of taking statistical information on a search condition of a product received from a user, generating statistical data relating to the product or a product group, and storing the statistical data in a statistical data storage unit; And a deficient data extracting step of specifying attribute data of a specific product or product group to be included in the product sales content and storing it in a storage device.
[0008]
As a result, it is possible to identify information necessary for making it easy to hit the user's product search among the information included in the content for product sales. Then, by enriching the content of the merchandise sales site according to the specified information, the site of the store can be easily recognized by the user.
[0009]
Further, attribute data of a specific product or product group to be included in the specified product sales content may be transmitted to the owner or manager of the product sales content. As a result, the owner or administrator of the product sales content can obtain information necessary for enriching the product sales content that the user owns or manages.
[0010]
In addition, the product sales content is corrected using the attribute data of the specific product or product group to be included in the specified product sales content, and the corrected product sales content data is changed to the owner of the product sales content. Alternatively, it may be transmitted to the administrator.
[0011]
As a result, the owner or administrator of the product sales content can improve the content simply by replacing the product sales content owned or managed by the product sales content. In addition, when the product sales content is configured to output a search result of a database (DB), the configuration of the DB table may be changed (for example, a column is added).
[0012]
In addition, the statistical data registration step described above is performed by a totaling step for counting the number of times searched for each set of product classification specified from the search condition and product attribute specified from the search condition. And a specific step of specifying a set having a predetermined number of times or more.
[0013]
As a result, it is possible to identify attributes that are often specified during a search in a specific product category. For example, when the search condition is “vacuum cleaner, red”, “vacuum cleaner, white”, etc., when there are many searches for “color” in the search for “vacuum cleaner”, “vacuum cleaner” and “color” ”Can be specified. That is, in this case, it can be seen that the content handling “vacuum cleaner” as a product includes “color” data, thereby increasing the number of hits by the user's search.
[0014]
A program for executing the method according to the present invention is stored in a storage medium or storage device such as a flexible disk, a CD-ROM, a magneto-optical disk, a semiconductor memory, or a hard disk. Moreover, it may be distributed as a digital signal via a network. Note that data being processed is temporarily stored in the memory of the computer.
[0015]
DETAILED DESCRIPTION OF THE INVENTION
A system configuration diagram according to an embodiment of the present invention is shown in FIG. For example, in the network 1 that is the Internet, one or a plurality of product information providing servers 5, one or a plurality of store servers 7, and one or a plurality of user terminals 3 that are, for example, personal computers are wirelessly or wired. It is connected. The product information providing server 5 includes a search processing unit 51, a statistical analysis unit 52, a corrected content generation unit 53, and a content correction data distribution unit 54. These processing contents will be described in the description of the processing flow. The work memory area 55 is secured in, for example, the main memory of the product information providing server 5, and the product information providing server 5 stores data temporarily used when executing processing in the work memory area 55. The product information providing server 5 manages the product DB 15 and the statistics DB 25.
[0016]
Further, although not shown, the product information providing server 5 and the store server 7 have a Web server function, and can perform transmission processing of Web page data according to a request from the user. The store server 7 manages a Web content storage unit 17 in which Web pages (contents) for product sales are stored. Further, although not shown, the user terminal 3 has a web browser function and can browse web pages. Note that the user terminal 3 may be a mobile phone or a portable information terminal having the same function.
[0017]
For communication via the network 1, although not shown, devices and functions necessary for Internet connection such as a domain name server (DNS) and a firewall are used.
[0018]
FIG. 2 shows an example of the table configuration of the product DB 15 and stored data. 2 includes a category column 200, a manufacturer name column 202, a product code column 204, a product name column 206, a power consumption column 208, a suction work rate column 210, and a code length column 212. , A color column 214, a dimension column 216, and a price column 218. In addition, although not shown, a column for storing product attribute data such as weight, material, and photograph (image) data is included. In addition, although the example shown in FIG. 2 has a table configuration for the vacuum cleaner, tables for other product categories (classifications) are also included in the product DB 15. Further, the product data of a plurality of categories may be managed by, for example, one table by combining the tables.
[0019]
3 and 4 show an example of the table configuration of the statistics DB 25 and stored data. FIG. 3 shows an example of the search key table. 3 includes a category column 300, a search item 1 column 302, a search keyword 1 column 304, a search item 2 column 306, a search keyword 2 column 308, a search item 3 column 310, and a search keyword 3. Column 312 and a search frequency column 314 are included. The search item and the search keyword are a set, and although not shown, one or more search item columns and search keyword columns are provided between the search keyword 3 column 312 and the search frequency column 314. May be included as a set.
[0020]
FIG. 4 shows an example of the search count table. The example of FIG. 4 includes a category column 400, a search item column 402, a search count column 404, and a check flag column 406. In this search number table, data obtained as a result of totaling data stored in the search key table (FIG. 3) is stored. In addition, “●” representing selection is registered in the check flag column 406 of a record in which the value of the search count column 404 is equal to or greater than a predetermined number (for example, 20 times).
[0021]
Next, the contents of the processing of the system shown in FIG. 1 will be described with reference to FIG. First, the user terminal 3 transmits a request for product search page data to the product information providing server 5 in accordance with a user operation (step S1). The product information providing server 5 receives a request for product search page data from the user terminal 3 (step S3). And the merchandise information provision server 5 produces | generates the data of a merchandise search page, and transmits with respect to the user terminal 3 (step S5). The user terminal 3 receives the product search page data from the product information providing server 5 and displays it on the display device (step S7).
[0022]
FIG. 6 shows an example of the product search page. The example of FIG. 6 includes an input field 600 for search keyword 1, an input field 602 for search keyword 2, an input field 604 for search keyword 3, and a search button 606. In addition, there may be a field for inputting a search keyword. In addition, although not shown, there are cases where buttons that are generally installed in such a Web page, such as a return button, a clear button, and a cancel button, are included.
[0023]
In the present embodiment, the product search page accepts a keyword (for example, “vacuum cleaner”, “refrigerator”, etc.) that allows the user to specify the product category and a keyword that specifies the attribute of the product. Suppose that For example, if only the keyword “pink” is specified, it is possible to perform a search regardless of the product category. However, for a search that does not involve the specification of the product category, the search data is specifically used for the product. This is because it is not appropriate to handle the data in the same way as the search for the user who is considering the purchase.
[0024]
Returning to the processing flow of FIG. 5, the user terminal 3 accepts a keyword input from the user and a click on the search button 606 (FIG. 6) on the product search page (FIG. 6), and inputs the input search keyword to the product information providing server 5. (Step S9). The merchandise information providing server 5 receives the search keyword from the user terminal 3 and temporarily Work memory area 55 (Step S11).
[0025]
And the statistical analysis part 52 of the merchandise information provision server 5 performs a statistical data registration process using the received search keyword (step S13). This statistical data registration process will be described in detail later. Then, the search processing unit 51 of the product information providing server 5 searches the product DB 15 (FIG. 2) based on the search keyword (step S15). Further, the search processing unit 51 of the product information providing server 5 generates search result page data based on the search result of the product DB 15 (FIG. 2) and transmits the data to the user terminal 3 (step S17). The user terminal 3 receives the search result page data from the product information providing server 5 and displays it on the display device (step S19).
[0026]
FIG. 7 shows an example of the search result page. The example of FIG. 7 includes a search result list 700 and a detail display button 702. Although not shown, there may be a return button or the like. The search result list 700 shows a list of products that satisfy the search conditions specified by the user on the product search page (FIG. 6). A detail button 702 is included at the right end of each row, and a request to display detailed data of the product is accepted by the user clicking.
[0027]
Returning to the processing flow of FIG. 5, the user terminal 3 accepts a selection input from the user to the search result page (FIG. 7) (operation for instructing detailed display by clicking the detail display button 702 (FIG. 7)). S21). Then, the user terminal 3 transmits a data request for the detailed display page of the selected product to the product information providing server 5 (step S23). The merchandise information providing server 5 receives the data request for the detailed display page from the user terminal 3 (step S25).
[0028]
And the search process part 51 of the merchandise information provision server 5 searches merchandise DB15 (FIG. 2), and extracts the data of the selected goods (step S27). And the search process part 51 of the merchandise information provision server 5 produces | generates the data of a detailed display page, and transmits with respect to the user terminal 3 (step S29). The user terminal 3 receives the detailed display page data from the product information providing server 5 and displays it on the display device (step S31). Although not shown, the detailed display page includes data similar to the record of the product DB 15 (FIG. 2). In addition, product photo (image) data may be included.
[0029]
Further, the product information providing server 5 performs content confirmation processing at a predetermined interval (step S33). This content confirmation process will be described in detail later.
[0030]
In this way, the search condition (keyword) for the product from the user is accepted. Except for statistical data registration processing (step S13) and content confirmation processing (step S33), which will be described later, processing similar to processing at a general product search site is performed.
[0031]
Next, details of the statistical data registration process (FIG. 5: Step S13) will be described with reference to FIG. The following processing is executed by the statistical analysis unit 52 of the product information providing server 5 unless otherwise specified.
[0032]
First, the search key table (FIG. 3) is searched based on the keyword combination received in step S11 (FIG. 5) (FIG. 8: step S41). Then, it is determined whether or not the keyword combination has already been registered in the search key table (FIG. 3) (step S43). When it is determined that the record has been registered (step S43: Yes route), the record is updated by adding 1 to the value of the search count column 314 (FIG. 3) of the corresponding record (step S45). And it transfers to the process of step S55 mentioned later.
[0033]
On the other hand, if it is determined that it has not been registered (step S43: No route), the product DB 15 (FIG. 2) is searched based on each keyword received in step S11 (FIG. 5) (step S47). Here, the search process for each keyword is performed instead of the search process for the keyword combination. For example, when “souzo, blue” is designated as the search condition, a search for “suzokura” and a search for “blue” are performed.
[0034]
Then, a column name including data matching each keyword is specified (step S49). For example, “Suzo” is specified as “product name”, and “blue” is specified as “color”. These combinations are temporarily stored in the work memory area 55 as a set of a search item (such as “product name”) and a search keyword (such as “Suzo”).
[0035]
Here, for example, when the keyword corresponds to the category column 200 (FIG. 2) of the product DB 15 such as “vacuum cleaner”, “type” is set in the search item. For example, “vacuum cleaner” is a product category and a search keyword, so that it is used separately for the case of representing the category of each product (category) and the case of representing the search item (type) so as not to be confused in later processing. .
[0036]
Then, the category of the product including data that matches any of the keywords is specified (step S51). As described above, in the present embodiment, at least a keyword that can specify a product category is accepted. For example, the product category is specified as “vacuum cleaner” from the keyword “Suuzo”. To do.
[0037]
Then, a record of the search key table (FIG. 3) is generated and registered using the keyword received in step S11 (FIG. 5) and the processing results of steps S49 and S51 (step S53). It should be noted that “1” is registered in the search count column 314 (FIG. 3).
[0038]
After the record registration process (step S53) or update process (step S45) of the search key table (FIG. 3) is completed, search is performed for each product category and search item using the data of the search key table (FIG. 3). The number of times is totaled (step S55). For example, in the example illustrated in FIG. 3, the number of times “type” is specified as the search item when the category of the search target product is “vacuum cleaner” from the record in the first row and the record in the second row. Is at least 20 times (13 + 7). Similarly, when the category of the product to be searched is “vacuum cleaner”, the number of times “color” is designated as the search item is at least 20 times (13 + 7). Thus, the number of searches for each set of categories and search items is totaled and temporarily stored in the work memory area 55.
[0039]
Then, it is determined whether data is already registered in the search number table (FIG. 4) (whether it is not empty) (step S57). If it is determined that it is registered (step S57: Yes route), the record in the search count table (FIG. 4) is updated using the data calculated in step S55 (step S59). And it transfers to the process of step S63 mentioned later.
[0040]
On the other hand, if it is determined that it is not registered (step S57: No route), a record of the search count table (FIG. 4) is generated and registered using the data calculated in step S55 (step S61).
[0041]
Then, in each record of the search count table (FIG. 4), the value of the search count column 404 (FIG. 4) is equal to or greater than the predetermined count, and the check flag column 406 (FIG. 4) indicates “●”. Is registered, “●” is registered (step S63).
[0042]
In this way, statistical data registration processing is performed, and statistical data (record data in the search key table (FIG. 3) and the search count table (FIG. 4)) is registered based on the search conditions (keywords) received from the user. To do.
[0043]
Next, details of the content confirmation processing (FIG. 5: Step S33) will be described with reference to FIGS. In the present embodiment, this content confirmation processing is performed at a predetermined interval (for example, once a day), but every time the product information providing server 5 receives a product search keyword from the user terminal 3. You may make it implement.
[0044]
First, the statistical analysis unit 52 of the product information providing server 5 extracts data of a record with a check flag from the search count table (FIG. 4) and stores it in the work memory area 55 (step S71). That is, a record in which “●” is registered in the check flag column 406 (FIG. 4) is extracted from the search count table (FIG. 4), and the value and search item in the category column 400 (FIG. 4) of the record. The column 402 (FIG. 4) is extracted.
[0045]
FIG. 10 shows a schematic diagram when the extracted result is stored in the work memory area 55. The example of FIG. 10 includes a category column 1000 and a search item column 1002. In the example of FIG. 10, it is shown that a number of searches for a cleaner with designation of “color” and a search for a cleaner with designation of “type” have been made in the search for merchandise.
[0046]
Returning to the processing flow of FIG. 9, the statistical analysis unit 52 of the product information providing server 5 reads one page of Web page data of the product sales site from the Web content storage unit 17 of the store server 7, and the work memory area (Step S73). Note that the data is stored in a different area from the data extracted in step S71. Further, in this embodiment, the product sales site is configured to include data for one product category per page, but in the case where data for one product category is included over a plurality of pages. The data of the plurality of pages is read.
[0047]
Then, the statistical analysis unit 52 of the product information providing server 5 specifies the category of the product handled on the Web page based on the read Web page data (step S75). That is, the data of the Web page is searched using the data of the product DB 15 (FIG. 2), and the value of the column 200 (FIG. 2) of the corresponding category is specified. For example, if the word “Suzo” is included in the Web page, the product handled on the Web page is specified as “vacuum cleaner”. If the category of the corresponding product cannot be specified, the process returns to step S73, and the next Web page data is read for one page.
[0048]
Then, the statistical analysis unit 52 of the product information providing server 5 confirms whether or not the product category specified in step S75 is included in the data (see FIG. 10) extracted in step S71 (step S77). For example, data whose category column 1000 (FIG. 10) is “vacuum cleaner” is searched.
[0049]
And the statistical analysis part 52 of the merchandise information provision server 5 determines whether the corresponding data existed in step S77 (step S79). If it is determined that it does not exist (step S79: No route), the process returns to step S73, and the next Web page data is read for one page. That is, since the Web page read first is not a Web page that handles products (categories) that are frequently searched, the process proceeds to the inspection of the next Web page.
[0050]
On the other hand, when it is determined that it exists (step S79: Yes route), the search item of the corresponding data is specified (step S81). For example, the data extracted in step S71 is as shown in FIG. 10, and when “vacuum cleaner” is searched, “color” and “type” are searched from the values in the search item column 1002 (FIG. 10). Identified as an item.
[0051]
Then, the statistical analysis unit 52 of the product information providing server 5 searches the specified search item in the read Web page (step S83). For example, it is searched whether or not a character string “color” and a character string “type” are included in the data of the Web page.
[0052]
And the statistical analysis part 52 of the merchandise information provision server 5 determines whether the corresponding data existed in step S83 (step S85). When it is determined that it exists (step S85: Yes route), the process returns to step S73, and the next Web page data is read for one page. That is, the web page read earlier handles products (categories) that are frequently searched, but data of search items that are often specified (for example, character strings such as “type” and “color”). Since it has been determined that it contains a message, the process proceeds to the inspection of the next Web page.
[0053]
Note that it is not assumed that character strings such as “color” and “type” are specified as search keywords in the search operation by the user. However, the presence of character strings that are headings such as “color” and “type” in the web page means that specific color data such as “white” and “pink”, “vacuum cleaner”, etc. Since it can be determined that the product category data is naturally included in the Web page, such processing is performed.
[0054]
On the other hand, if it is determined that it does not exist (step S85: No route), the process proceeds to the process of FIG. Then, the statistical analysis unit 52 of the product information providing server 5 determines the product category specified in step S75 (FIG. 9) and the search item determined not to exist on the Web page in step S85 (FIG. 9). Based on the product DB 15 (FIG. 2), values are extracted and stored in the work memory area 55 (FIG. 11: Step S91).
[0055]
Here, for example, when a character string that becomes a heading such as “color” or “type” is not found in the web page, data indicating specific contents such as “white”, “pink”, and “vacuum cleaner” To extract. For example, even if there is a heading item representing a color on the Web page, the word “color” is not necessarily included, for example, “color” is displayed. Also, a heading such as “kind” is often omitted. In such a case, since it cannot be detected in step S83 (FIG. 9) that the Web page includes the corresponding data, it is checked whether data indicating specific contents is included.
[0056]
For example, when the product handled on the Web page is “vacuum cleaner”, if it is determined in step S85 (FIG. 9) that the character string “TYPE” does not exist on the Web page, the category column 200 (FIG. Extract “vacuum cleaner” which is the value of 2). Similarly, if it is determined in step S85 (FIG. 9) that the character string “color” does not exist in the Web page, for example, a record whose value in the category column 200 (FIG. 2) is “vacuum cleaner”. All the values (such as “white”) in the color column 214 (FIG. 2) are extracted.
[0057]
Then, the statistical analysis unit 52 of the product information providing server 5 searches the Web page based on the value extracted in Step S91 (Step S93). For example, the Web page data is searched with the character string “vacuum cleaner”. Further, for example, the web page data is searched with the character string “white”.
[0058]
Then, the statistical analysis unit 52 of the product information providing server 5 determines whether or not the corresponding data exists in the Web page in Step S93 (Step S95). If it is determined that it exists (step S95: Yes route), the process returns to step S73 (FIG. 9) via the terminal B. In other words, the Web page read earlier handles products (categories) that are frequently searched, but data of search items that are often specified (for example, character strings such as “vacuum cleaner” and “white”). ), The process proceeds to the next Web page inspection.
[0059]
On the other hand, if it is determined that it does not exist (step S95: No route), the statistical analysis unit 52 of the product information providing server 5 identifies information that can be determined to be insufficient on the Web page as content shortage information. (Step S97). For example, when a web page whose handling product (category) is a vacuum cleaner does not include a character string indicating an item name “color” and does not include a character string indicating a specific color such as “white”, “ Identify that there is a lack of data on color. Similarly, when the character string representing the item name “kind” is not included and the character string “vacuum cleaner” is not included, the web page does not hit a search with the keyword “vacuum cleaner”, for example. Identify that there is not enough data to include on the page.
[0060]
And the correction content production | generation part 53 of the merchandise information provision server 5 produces | generates content correction data based on the specified content shortage information (step S99). Note that the processing in step S99 may be skipped when the configuration of the content for sale of merchandise varies from store to store.
[0061]
The statistical analysis unit 52 of the product information providing server 5 generates statistical data, and the content correction data distribution unit 54 of the product information providing server 5 generates the generated statistical data, the corrected product sales content data, Is transmitted to the owner or manager of the contents for sale of merchandise (step S101). The statistical data includes, for example, the data (see FIG. 10) extracted in step S71 (FIG. 9). Note that the content shortage information specified in step S97 may be statistical data. In other words, the contents should be such that the data to be included in order to enrich the contents can be specified.
[0062]
FIG. 12 shows an example of a message transmitted to the owner or manager of the product sales content. For example, the example of FIG. 12 which is a mail message includes a statistical data display unit 1200, which shows statistical data. Further, it is shown that the corrected content is transmitted as an attached file. The owner or manager of the content for sale of products intends to enhance the content by modifying the content with reference to the statistical data or replacing the original content with the modified content (for content that is easy to hit a product search) can do.
[0063]
FIG. 13A and FIG. 13B show examples of product sales content. FIG. 13A shows a product list page of the vacuum cleaner. This page does not include data on vacuum cleaner colors. For example, FIG. 13B shows an example of merchandise sales content replaced by corrected content. FIG. 13B shows the product list page of the vacuum cleaner as in FIG. 13A, and this page includes data on the color of the vacuum cleaner. Therefore, for example, when the user searches with the keyword “vacuum cleaner, white”, the page shown in FIG. 13A does not hit, but the page shown in FIG. 13B hits.
[0064]
FIGS. 14A and 14B show an example of a search site page. FIG. 14A shows an example of a search result screen when the user searches for the keyword “vacuum cleaner, pink” when the content for sale at the store A is in the state shown in FIG. It is shown. In the example of FIG. 14A, the content of the store A does not hit the search.
[0065]
On the other hand, FIG. 14B shows the search result when the user searches for the keyword “vacuum cleaner, pink” when the merchandise sales content of the store A is in the state of FIG. 13B, for example. An example screen is shown. In the example of FIG. 14B, it is shown that the content of the store A hits the search. In this way, by enriching the content, it is possible to increase opportunities for the user to recognize the store.
[0066]
Returning to the processing flow of FIG. 11, the statistical analysis unit 52 of the product information providing server 5 determines whether or not the processing has been completed for all the Web pages to be inspected (step S103). When it is determined that the processing has not ended (step S103: No route), the processing returns to step S73 (FIG. 9) via the terminal B.
[0067]
On the other hand, if it is determined that the processing has been completed for all the web pages to be inspected, the content confirmation processing is terminated.
[0068]
In this way, the content confirmation process is performed to check whether there is a deficiency in the data to be included in the web page that constitutes the merchandise sales site. Notify the owner or manager of the content for sale.
[0069]
Although one embodiment of the present invention has been described above, the present invention is not limited to this. For example, the table configurations shown in FIGS. 2 to 4 are examples, and other configurations may be adopted as long as similar data is stored. Moreover, you may make it add or delete an item as needed. The screen configurations shown in FIGS. 6, 7, 12, 13 (a), 13 (b), 14 (a), and 14 (b) are examples, and the same contents are different. It is also possible to express in the form of. Further, the data in the work memory area 55 shown in FIG. 10 is also an example, and similar data may be shown in another expression. The functional block of the product information providing server 5 shown in FIG. 1 is also an example, and the functional block may not be configured as shown in FIG. Further, the product information providing server 5 and the store server 7 may each be constituted by a plurality of computers.
[0070]
Furthermore, the processing flow shown above is an example, and other flows having the same function can be used. In order to place importance on the search frequency, a step of resetting the statistical data of the number of searches at a predetermined interval may be added. Further, in the present embodiment, statistics on a search at a predetermined product search site are taken. However, for example, a book on a general search site as shown in FIGS. 14 (a) and 14 (b). It is also possible to use the technology of the invention (acquire statistical data).
[0071]
(Appendix 1)
Statistical data registration step of taking statistics of the search conditions of the products received from the user, generating statistical data on the products or product groups, and storing them in the statistical data storage unit,
Using the statistical data, specify the attribute data of a specific product or group of products to be included in the product sales content, and store the insufficient data in a storage device;
A product information providing method executed by a computer.
[0072]
(Appendix 2)
Transmitting attribute data of a specific product or product group to be included in the specified product sales content to the owner or administrator of the product sales content
The method for providing product information executed by the computer according to appendix 1, further comprising:
[0073]
(Appendix 3)
Modifying the product sales content using attribute data of a specific product or product group to be included in the specified product sales content;
Transmitting the modified product sales content data to the product sales content owner or administrator;
The method for providing product information executed by the computer according to appendix 1, further comprising:
[0074]
(Appendix 4)
The statistical data registration step includes:
For each set of the classification of products specified from the search conditions and the attributes of the products specified from the search conditions, a counting step for counting the number of times searched,
A specific step of identifying a set in which the searched number is equal to or greater than a predetermined number;
A product information providing method executed by the computer according to appendix 1.
[0075]
(Appendix 5)
In the deficient data extraction step, using the product sales content and the specified set of data, specifying attribute data of a specific product or product group to be included in the product sales content, To
A method for providing product information executed by the computer according to attachment 4.
[0076]
(Appendix 6)
The counting step includes
A step of counting the number of times that the combination of keywords included in the search condition is the same,
A method for providing product information executed by the computer according to attachment 4.
[0077]
(Appendix 7)
The counting step includes
Further including the step of identifying the classification of the search target product and the attribute of the search target product based on the keyword included in the search condition;
A method for providing product information executed by the computer according to attachment 4.
[0078]
(Appendix 8)
The missing data extraction step comprises:
Identifying a category of products handled in the product sales content;
Confirming whether the classification of the product in the identified set is equal to the classification of the handling product;
A product information providing method executed by the computer according to appendix 5.
[0079]
(Appendix 9)
When the classification of the product in the identified set is equal to the classification of the handling product,
The missing data extraction step comprises:
Confirming whether the content for sale of merchandise includes data of an attribute of a product in the specified set or a lower attribute included in the attribute
The product information providing method executed by the computer according to appendix 8, further comprising:
[0080]
(Appendix 10)
Statistical data registration step of taking statistics of the search conditions of the products received from the user, generating statistical data on the products or product groups, and storing them in the statistical data storage unit,
Using the statistical data, specify the attribute data of a specific product or group of products to be included in the product sales content, and store the insufficient data in a storage device;
Product information provision program for causing a computer to execute
[0081]
(Appendix 11)
Taking statistics of the search conditions of the products received from the user, generating statistical data on the products or product groups, and storing them in the statistical data storage unit;
Means for identifying attribute data of a specific product or group of products to be included in the product sales content using the statistical data, and storing the data in a storage device;
A product information providing apparatus.
[0082]
【The invention's effect】
As described above, according to the present invention, it is possible to provide information for enriching the content of a merchandise sales site.
[Brief description of the drawings]
FIG. 1 is a system configuration diagram according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating an example of a table structure of a product DB and stored data.
FIG. 3 is a diagram showing an example of a configuration of a search key table and stored data.
FIG. 4 is a diagram illustrating an example of a configuration of a search count table and stored data.
FIG. 5 is a diagram showing a processing flow in one embodiment of the present invention.
FIG. 6 is a diagram illustrating an example of a product search page.
FIG. 7 is a diagram illustrating an example of a search result page.
FIG. 8 is a diagram illustrating a processing flow of statistical data registration processing;
FIG. 9 is a diagram illustrating a processing flow (part 1) of content confirmation processing;
FIG. 10 is a diagram illustrating an example of a configuration of a work memory area and stored data.
FIG. 11 is a diagram showing a processing flow (part 2) of content confirmation processing;
FIG. 12 is a diagram showing an example of a statistical data notification mail message.
FIG. 13 is a diagram illustrating an example of product sales content.
FIG. 14 is a diagram showing an example of a search site page.
[Explanation of symbols]
1 Network 3 User terminal
5 Product information provision server 7 Dealer server
15 Product DB 17 Web Content Storage Unit
25 Statistics DB 51 Search processing part
52 Statistical Analysis Unit 53 Modified Content Generation Unit
54 Content Correction Data Distribution Department
55 Work memory area

Claims (3)

Product attributes related to product characteristics specified by the second keyword input from the user terminal together with the data of the product classification related to the type of product specified by the first keyword input from the user terminal and the first keyword a method combining including search condition data, and the number of searches a search is performed by the search condition, stored in the statistical data storage unit in association with each other and the data,
Extracting the search condition data in which the number of searches is a predetermined number or more out of the search condition data stored in the statistical data storage unit;
Identifying the product category data commonly included in the extracted search condition data and the product sales content data read from the store server, as common product category data;
The product attribute data included in the extracted data of the search condition and combined with the data of the common product classification is specified, and among the specified product attribute data, included in the product sales content Identifying missing product attribute data as content shortage information,
Transmitting the identified content shortage information to an owner or administrator of the product sales content ;
A method for providing product information, characterized in that a computer executes. Product attributes related to product characteristics specified by the second keyword input from the user terminal together with the data of the product classification related to the type of product specified by the first keyword input from the user terminal and the first keyword data and combining of including search condition data, and the number of searches a search is performed by the search condition, means for storing the statistical data storage unit in association with each other,
Means for extracting search condition data in which the number of searches is equal to or greater than a predetermined number of search condition data stored in the statistical data storage unit;
Means for specifying the product category data commonly included in the extracted search condition data and product sales content data read from the store server as common product category data;
The product attribute data included in the extracted data of the search condition and combined with the data of the common product classification is specified, and among the specified product attribute data, included in the product sales content To identify unacceptable product attribute data as content shortage information,
Means for transmitting the specified content shortage information to an owner or an administrator of the content for sale of merchandise ,
A product information providing program for causing a computer to function as Product attributes related to product characteristics specified by the second keyword input from the user terminal together with the data of the product classification related to the type of product specified by the first keyword input from the user terminal and the first keyword data and combining of including search condition data, and the number of searches a search is performed by the search condition, means for storing the statistical data storage unit in association with each other,
Means for extracting search condition data in which the number of searches is equal to or greater than a predetermined number of search condition data stored in the statistical data storage unit;
Means for specifying the product category data commonly included in the extracted search condition data and product sales content data read from the store server as common product category data;
The product attribute data included in the extracted data of the search condition and combined with the data of the common product classification is specified, and among the specified product attribute data, included in the product sales content To identify unacceptable product attribute data as content shortage information,
Means for transmitting the specified content shortage information to an owner or an administrator of the product sales content ;
An apparatus for providing product information, comprising:

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