JP7203398B1 - PAGE GENERATOR, WEB PAGE PRODUCTION METHOD, AND PROGRAM - Google Patents

Abstract

Kind Code: A1 Conventionally, it has not been easy to create a web page that allows easy access to product information.
A tag acquiring unit (131) acquires one or more tags using tag source information corresponding to one or more product information in a website (3) including one or more product information, and a tag acquiring unit. A set acquisition unit 132 that acquires one or more tag sets that are a combination of one or two or more tags from one or more tags acquired by 131, and one or more tag sets acquired by the set acquisition unit 132 On the other hand, it is a web page that uses one or more tags of a tag set as hashtags, is information corresponding to each of the one or more tags, and is a page configuration that constitutes a web page having product-related information related to the product. The page generation device 1 having the unit 133 and the accumulation unit 135 for accumulating web pages constructed by the page construction unit 133 can create a web page that allows easy access to product information.
[Selection drawing] Fig. 3

Description

The present invention relates to a page generation device and the like for creating and storing web pages.

2. Description of the Related Art Conventionally, there has been a technology capable of acquiring a desired image from a web server using a hash tag (see, for example, Patent Document 1).

Japanese Patent Application Laid-Open No. 2021-56916

However, in the prior art, it was not easy to create a web page that allows easy access to product information.

The page generation device of the first invention is a tag acquisition unit that acquires one or more tags using tag source information corresponding to one or more product information in a website containing one or more product information. a set acquisition unit that acquires one or more tag sets that are a combination of the one or more tags from the one or more tags that the tag acquisition unit has acquired; and one or more tags that the set acquisition unit has acquired. A web page that uses one or more tags of the tag set as hashtags for the set, information corresponding to each of the one or more tags, and constitutes a web page that has product-related information related to the product. A page construction unit, an address acquisition unit for acquiring address information for accumulating a web page constructed by the page construction unit, and an accumulation for accumulating the web page constructed by the page construction unit for the address information acquired by the address acquisition unit. and a page generator.

With such a configuration, it is possible to create a web page that allows easy access to product information.

In addition, in the page generation device of the second invention, in contrast to the first invention, the tag acquisition unit obtains two or more from tag source information corresponding to one or more product information in each of two or more websites. It is a page generation device that acquires tags.

With such a configuration, it is possible to create a web page that allows easy access to product information from two or more websites.

In addition, the page generation device of the third invention is a page generation device in which the tag source information is UGC input by the user for one or more product information in contrast to the first or second invention .

With such a configuration, it is possible to create a web page that allows easy access to product information using hashtags obtained from UGC for the website.

In addition, in the page generation device of the fourth invention, in contrast to the third invention, the UGC is word of mouth input by the user for one or more product information.

With such a configuration, it is possible to create a web page that allows easy access to product information using hashtags obtained from word-of-mouth on the website.

Further, in the page generation device of the fifth invention, in contrast to the first or second invention, the tag source information is provided information provided to the user by the provider of the website on the website. A page generator.

With such a configuration, it is possible to create a web page that allows easy access to product information using hashtags obtained from information provided on the website.

Further, the page generation device of the sixth invention is a page generation device in which the provided information is a facet used for narrowing down product information on a website in contrast to the fifth invention.

With such a configuration, it is possible to create a web page that provides easy access to product information using hashtags obtained from facets on the website.

Further, the page generation device of the seventh invention is a page generation device in which the provided information is product information on a website in contrast to the fifth invention.

With such a configuration, it is possible to create a web page that allows easy access to product information using hashtags acquired from product information on the website.

According to the page generation device of the present invention, it is possible to create a web page that allows easy access to product information.

Conceptual diagram of information system A in Embodiment 1 Block diagram of the same information system A Block diagram of the same page generation device 1 Flowchart for explaining an operation example of the same page generation device 1 Flowchart for explaining the first example of same-tag acquisition processing Flowchart for explaining a second example of the same tag acquisition process Flowchart explaining an example of same tag set acquisition processing Flowchart for explaining an example of same-page configuration processing Diagram for explaining a processing example of the same tag acquisition unit 131 Diagram showing the same output example Diagram showing the same output example Diagram showing an example of the same facet Overview of the computer system Block diagram of the same computer system

Embodiments of a page generation device and the like will be described below with reference to the drawings. It should be noted that, since components denoted by the same reference numerals in the embodiments perform similar operations, repetitive description may be omitted.

(Embodiment 1)
In the present embodiment, one or more hash tags are automatically obtained from the tag source information corresponding to the product, and from the one or two or more hash tags, one hash tag, or two or more hash tags A page generating apparatus that composes a web page having product-related information, associates it with address information, and stores the web page will be described. Note that the tag source information is, for example, provided information such as UGC such as word of mouth, facets, and product information.

In the present embodiment, the fact that the information X is associated with the information Y means that the information Y can be obtained from the information X or the information X can be obtained from the information Y, and the method of the association does not matter. . Information X and information Y may be linked, may exist in the same buffer, information X may be included in information Y, and information Y may be included in information X. etc. is fine.

FIG. 1 is a conceptual diagram of an information system A according to this embodiment. The information system A includes a page generation device 1 , one or more terminal devices 2 and one or more websites 3 .

The page generation device 1 is a device that creates and stores one or more web pages. The page generation device 1 is usually a so-called server. The page generation device 1 is, for example, a cloud server or an ASP server, but the type is not limited. Note that the page generation device 1 may operate stand-alone.

The terminal device 2 is a terminal used by a user. The terminal device 2 is, for example, a device for searching and acquiring web pages accumulated by the page generation device 1 . The terminal device 2 is, for example, a device for inputting word-of-mouth information for product information sold on the website 3 or the like. The terminal device 2 is, for example, a terminal for performing a facet search using the facets of the website 3 . The terminal device 2 is, for example, a terminal that searches for web pages created by the page generation device 1 .

The terminal device 2 is a so-called personal computer, a smart phone, or a tablet terminal, but the type is not limited.

The website 3 is, for example, an EC site that sells products, but may be a site of a company, an organization, or the like, regardless of the type. The website 3 is, for example, a cloud server or an ASP server, but the type of server does not matter. It should be noted that the product is usually the object of transfer or lending. A product is, for example, an object for sale or an object for advertisement. Goods herein may include services and is understood broadly. The product may include, for example, a company or an organization that wants to improve its image.

FIG. 2 is a block diagram of the information system A according to this embodiment. FIG. 3 is a block diagram of the page generation device 1. As shown in FIG.

The page generation device 1 includes a storage unit 11 , a reception unit 12 , a processing unit 13 and an output unit 14 . The processing unit 13 includes a tag acquisition unit 131 , a group acquisition unit 132 , a page construction unit 133 , an address acquisition unit 134 and an accumulation unit 135 .

The terminal device 2 includes a terminal storage section 21 , a terminal reception section 22 , a terminal processing section 23 , a terminal transmission section 24 , a terminal reception section 25 and a terminal output section 26 .

Various types of information are stored in the storage unit 11 that constitutes the page generation device 1 . Various types of information are, for example, one or more web pages, one or more website information, tag source information, and UGC (User Generated Contents).

Website information is information about a website. Website information is, for example, address information of the website 3 . Address information is information for accessing the website 3 or a web page. Address information is, for example, URL and URI.

The tag source information is information from which a tag is acquired. The tag source information is, for example, UGC and provided information.

UGC is content created by a user, and is, for example, so-called word-of-mouth or information corresponding to word-of-mouth. A word of mouth can be called a review or a user review, and its expression does not matter. A word of mouth may be written as a word of mouth, and the writing method is not limited. The word-of-mouth data is, for example, a character string, but may also include a score or the like.

Provided information is information provided by the management side of the website 3 (which may be called the provider side). The provided information is, for example, facets and product information.

A facet is an interface provided by the website 3 and used to search for information on the website 3 . A facet is, for example, a collection of one or more terms. A facet is, for example, one or more search conditions. Facets are information used in so-called faceted searches. Facets, for example, constitute menus for searching. A search condition typically includes a set of one or more terms.

Product information is information about products. The product information includes, for example, a product image, product description information, product name, and type information specifying the product type.

The reception unit 12 receives various instructions and information. Various instructions and information are, for example, UGC, start instruction, access instruction, URI, and URL.

The start instruction is an instruction to start the web page generation process. The start instruction may be, for example, only an instruction to start creating a web page, or may include search conditions. The search condition is, for example, a condition for searching for product information corresponding to product-related information included in the created web page. The search condition includes, for example, type information.

An access instruction is an instruction to access a web page. The access instruction includes, for example, a URL.

Here, reception usually means reception of information transmitted via a wired or wireless communication line. The concept may include acceptance of information read from a recording medium such as a semiconductor memory.

The processing unit 13 performs various types of processing. The various processes are, for example, processes performed by the tag acquisition unit 131, the set acquisition unit 132, the page construction unit 133, the address acquisition unit 134, and the accumulation unit 135. FIG.

The processing unit 13 acquires a web page corresponding to the access instruction accepted by the accepting unit 12 .

The tag acquisition unit 131 acquires one or two or more tags using tag source information corresponding to one or more item information on the website 3 . It is preferable that the tag acquisition unit 131 acquires the tag in association with the product information.

A tag is, for example, information that is the basis of a hashtag. A tag is, for example, a character string without the hash tag "#". A tag is, for example, a word.

It is preferable that the tag acquisition unit 131 acquires one or more tags from tag source information corresponding to one or more item information in each of the two or more websites 3 .

Hereinafter, when the tag acquisition unit 131 acquires a tag from a word of mouth that is an example of tag source information, a case of acquiring a tag from a facet that is an example of the tag source information, and a tag from product information that is an example of the tag source information will be described. Note that it is preferable for the tag acquisition unit 131 to acquire tags from two or more types of tag source information among word-of-mouth, facets, and product information.
(1) When getting tags from word of mouth

The tag acquisition unit 131 acquires one or more tags from, for example, one or more word-of-mouth on each website 3 . The tag acquisition unit 131 acquires one or more tags from word of mouth associated with product information on the website 3, for example. The tag acquisition unit 131 acquires, for example, one or more words included in word-of-mouth on one or more websites 3 as tags.

The word acquired by the tag acquisition unit 131 is preferably a specific part of speech. A particular part of speech is, for example, a noun or an adjective.

The tag acquisition unit 131, for example, morphologically analyzes the word-of-mouth, acquires one or more morphemes, and acquires one or more specific morphemes from the one or more morphemes as tags. It is preferable that the tag acquisition unit 131 acquires a word that is a feature word from among one or more words in the word-of-mouth. A characteristic word is a characteristic word for product information corresponding to word of mouth. It can be said that the feature word is a word representing the feature of the product corresponding to the word of mouth. The tag acquisition unit 131, for example, morphologically analyzes the word-of-mouth, acquires one or more morphemes, selects a specific morpheme from the one or more morphemes, and tags the morpheme whose importance is greater than or equal to a threshold. to get as The degree of importance is, for example, the tf-idf value, but may be another index such as Okapi BM25.

It is preferable that the tag acquired by the tag acquisition unit 131 from the word-of-mouth is associated with one or more items of product information corresponding to the word-of-mouth.
(2) When getting tags from facets

The tag acquisition unit 131 acquires, for example, one or more terms that constitute facets of one or more websites 3 .

It is preferable that the tag acquired by the tag acquiring unit 131 from the facet is associated with one or more pieces of product information searched for based on the conditions of the tag.
(3) When acquiring tags from product information

The tag acquisition unit 131 acquires tags from, for example, one or more pieces of product information on one or more websites 3 .

The tag acquisition unit 131 acquires, for example, one or more words constituting description information included in product information as tags. Note that the description information is a character string that describes the product. The description information may include product type information, product specifications, and the like.

The tag acquisition unit 131, for example, morphologically analyzes the description information included in the product information, acquires one or more morphemes, and acquires one or more specific morphemes from the one or more morphemes as tags. do. It is preferable that the tag acquisition unit 131 acquires a word that is a feature word from among one or more words in the explanation information. A feature word is a word that has characteristics for product information. It can be said that the feature word is a word that expresses the feature of the product corresponding to the description information. The tag acquisition unit 131, for example, morphologically analyzes the description information, acquires one or more morphemes, selects a specific morpheme from the one or more morphemes, and selects a morpheme whose importance is equal to or greater than a threshold. Get it as a tag.

For example, the tag acquisition unit 131 performs image recognition processing on a product image included in product information, acquires one or more recognition results, and acquires each of the one or more recognition results as a tag. Note that the recognition result is, for example, product type information or one or more attribute values (for example, color, shape, etc.) of the product.

Performing image recognition processing on a product image and obtaining the product name, product type, and one or more attribute values of the product in the product image can be performed by a known image processing technique. Description is omitted. For example, the tag acquisition unit 131 performs machine learning prediction processing on a product image using a learning model, and acquires the product name or product type in the product image. A learning model is data acquired by performing a learning process of machine learning using two or more teacher data having images and product names or product types. A learning model may also be called a learner, a prediction model, a predictor, or the like. Machine learning algorithms may be deep learning, random forest, decision tree, or the like. For machine learning, various machine learning functions such as the TensorFlow library, R language random forest module, and various existing libraries can be used.

The group acquisition unit 132 acquires one or more tag groups, which are combinations of one or more tags, from the one or more tags acquired by the tag acquisition unit 131 .

When the three tags acquired by the tag acquisition unit 131 are “word A, word B, word C”, the set acquisition unit 132 obtains, for example, the tag set “word A, word B”, “word A, word C”, “ word B, word C” and “word A, word B, word C”. The tag acquisition unit 131 may acquire “word A”, “word B”, and “word C” as one tag. A single tag can also be called a tag set.

The page construction unit 133 is a web page that uses one or more tags of the tag set as hashtags for each of the one or more tag sets acquired by the set acquisition unit 132, and corresponds to each of the one or more tags. It is information and constitutes a web page with product-related information. It should be noted that the hash tag may be replaced with the term to be searched. In other words, a hashtag may be broadly understood to be information used for searching web pages.

It is preferable that the page construction unit 133 constructs a web page for each tag set acquired by the set acquisition unit 132 . However, the page construction unit 133 may construct a web page corresponding to only one or more tag sets that match a specific condition among the tag sets acquired by the set acquisition unit 132 . The specific condition is, for example, a condition regarding the number of tags in the tag set, a condition regarding co-occurrence of tags in the tag set. The conditions for tag co-occurrence are, for example, that two or more tags in the tag set co-occur in the word-of-mouth, or that two or more tags in the tag set co-occur in the word-of-mouth. The ratio or number is greater than or equal to the threshold, Two or more tags in the tag set co-occur in word-of-mouth and product information, Two or more tags in the tag set For example, the ratio or number of co-occurrences in the information is equal to or greater than a threshold.

Product-related information is information related to products. The product-related information is, for example, a product image, product description information, a link to product information, and a hashtag having a link to product information. A link to product information is usually a link to a specific web page of website 3 on which product information is posted. A link to product information is, for example, a link to a page for purchasing the product.

It is preferable that the product-related information in the constructed web page corresponds to the anchor, and jumps to the website 3 containing the product information according to the instruction of the product-related information.

The address acquisition unit 134 acquires address information for accumulating the web pages configured by the page configuration unit 133 . Address information is information for accessing a web page. Address information is, for example, URL, URI, and file name.

The address acquisition unit 134 generates, for example, unique address information. The address acquisition unit 134 acquires unused address information from, for example, a database (not shown) storing two or more pieces of address information.

Accumulation unit 135 accumulates the web pages configured by page configuration unit 133 . Accumulation unit 135 usually accumulates the web page configured by page configuration unit 133 for the address information acquired by address acquisition unit 134 .

The output unit 14 outputs various information. The various types of information are, for example, information indicating that a web page has been created and stored, address information of the stored web page, and the web page acquired by the processing unit 13 .

Here, the output usually means transmission to an external device (for example, the terminal device 2, an administrator device (not shown)), and includes display on a display, projection using a projector, printing on a printer, sound output, The concept may include storage in a recording medium, delivery of processing results to other processors or other programs, and the like.

Various types of information are stored in the terminal storage unit 21 that constitutes the terminal device 2 . Various information is, for example, a user identifier.

The terminal reception unit 22 receives various information, instructions, and the like. Various information and instructions are, for example, a start instruction and an access instruction.

Here, reception means reception of information input from input devices such as keyboards, mice, and touch panels, reception of information transmitted via wired or wireless communication lines, and recording on optical discs, magnetic discs, semiconductor memories, etc. This is a concept that includes acceptance of information read from a medium.

Any means such as a touch panel, a keyboard, a mouse, or a menu screen may be used as input means for various information and instructions.

The terminal processing unit 23 performs various types of processing. The various types of processing are, for example, processing for converting received information, instructions, etc. into information, instructions, etc. of a structure to be transmitted. The various types of processing are, for example, processing of converting received information into information having a structure to be output.

The terminal transmission unit 24 transmits various information, instructions, etc. to the page generation device 1 . Various information and instructions are, for example, a start instruction.

The terminal reception unit 25 receives various information from the page generation device 1 . Various types of information are, for example, the web page corresponding to the access instruction, the created web page, and access information of the created web page.

The terminal output unit 26 outputs various information. Various types of information are, for example, access information for web pages and created web pages.

Here, output means display on a display, projection using a projector, printing on a printer, sound output, transmission to an external device, storage on a recording medium, and transmission to another processing device or other program. This is a concept that includes delivery of processing results.

The storage unit 11 and the terminal storage unit 21 are preferably non-volatile recording media, but can also be realized with volatile recording media.

It does not matter how the information is stored in the storage unit 11 or the like. For example, information may be stored in the storage unit 11 or the like via a recording medium, or information transmitted via a communication line or the like may be stored in the storage unit 11 or the like. Alternatively, information input via an input device may be stored in the storage unit 11 or the like.

The reception unit 12 and the terminal reception unit 25 are usually realized by wireless or wired communication means, but may be realized by means for receiving broadcast.

Note that the reception unit 12 may be realized by a device driver for input means such as a touch panel or a keyboard, control software for a menu screen, or the like.

The processing unit 13, the tag acquisition unit 131, the set acquisition unit 132, the page construction unit 133, the address acquisition unit 134, the accumulation unit 135, and the terminal processing unit 23 can usually be implemented by a processor, memory, or the like. The processing procedure of the processing unit 13 and the like is normally realized by software, and the software is recorded in a recording medium such as a ROM. However, it may be realized by hardware (dedicated circuit). Note that the processor may be a CPU, MPU, GPU, or the like, and may be of any type.

The output unit 14 and the terminal transmission unit 24 are usually realized by wireless or wired communication means, but may be realized by broadcasting means.

The output unit 14 may be implemented by driver software for an output device, or driver software for an output device and an output device.

The terminal reception unit 22 can be realized by a device driver for input means such as a touch panel or a keyboard, control software for a menu screen, or the like.

The terminal output unit 26 may or may not include an output device such as a display or speaker. The terminal output unit 26 can be realized by output device driver software, or by output device driver software and an output device.

Next, an operation example of the information system A will be described. First, an operation example of the page generation device 1 will be described with reference to the flowchart of FIG.

(Step S401) The reception unit 12 determines whether or not a start instruction has been received. If the start instruction is accepted, the process goes to step S402, and if not, the process goes to step S410.

The receiving unit 12 receives a start instruction from the terminal device 2, for example. However, the receiving unit 12 may automatically receive the start instruction at a predetermined time.

(Step S402) The tag acquisition unit 131 performs tag acquisition processing. An example of tag acquisition processing will be described with reference to the flowcharts of FIGS. 5 and 6. FIG.

(Step S403) The set acquisition unit 132 performs tag set acquisition processing. An example of tag set acquisition processing will be described with reference to the flowchart of FIG.

(Step S404) The page construction unit 133 substitutes 1 for the counter i.

(Step S405) The page construction unit 133 determines whether or not the i-th tag set exists among the tag sets acquired in step S403. If the i-th tag set exists, go to step S406, otherwise return to step S401.

(Step S406) The page construction unit 133 performs page construction processing. An example of page configuration processing will be described with reference to the flowchart of FIG.

(Step S407) The address acquisition unit 134 acquires unique address information (for example, URL) that specifies the destination where the web page is stored.

(Step S408) The storage unit 135 stores the web page configured in step S406 in the location indicated by the address information acquired in step S407.

Note that the output unit 14 may transmit such address information to, for example, an administrator. Sending to the administrator means, for example, sending to the administrator's e-mail address, sending to the administrator's terminal device 2, or the like. The administrator is, for example, the person who sent the start instruction, the administrator of the website 3, or the administrator of the page generation device 1. FIG.

(Step S409) The page construction unit 133 increments the counter i by 1. Return to step S405.

(Step S410) The reception unit 12 determines whether or not an access instruction has been received. If the access instruction has been received, the process goes to step S411, and if not, the process returns to step S401.

(Step S411) The processing unit 13 acquires the web page corresponding to the access instruction.

(Step S412) The output unit 14 transmits the web page acquired in step S411 to the terminal device 2 that transmitted the access instruction. Return to step S401.

Note that in the flowchart of FIG. 4, the processing ends when the power is turned off or an interrupt for processing end occurs.

Next, a first example of tag acquisition processing in step S402 will be described using the flowchart of FIG.

(Step S501) The tag acquisition unit 131 substitutes 1 for the counter i.

(Step S502) The tag acquisition unit 131 determines whether or not the i-th website 3 from which the tag source information is acquired exists. If the i-th website 3 exists, go to step S503; otherwise, return to the upper process.

It should be noted that from which website 3 the tag source information is to be acquired is usually determined in advance. Address information for accessing the i-th website 3 is stored in the storage unit 11 .

(Step S<b>503 ) The tag acquisition unit 131 acquires one or more web pages from the i-th website 3 .

(Step S504) The tag acquisition unit 131 substitutes 1 for the counter j.

(Step S505) The tag acquisition unit 131 determines whether j-th product information exists in one or more web pages acquired in step S503. If the j-th product information exists, go to step S506, otherwise go to step S512.

(Step S506) The tag acquisition unit 131 substitutes 1 for the counter k.

(Step S507) The tag acquisition unit 131 determines whether or not the k-th UGC (for example, word of mouth) corresponding to the j-th item information of the i-th website 3 exists. If the k-th UGC exists, go to step S508, otherwise go to step S510.

(Step S<b>508 ) The tag acquisition unit 131 acquires the k-th UGC corresponding to the j-th item information of the i-th website 3 . Next, the tag acquisition unit 131 acquires one or more terms from the UGC. Next, the tag acquisition unit 131 accumulates the acquired one or more terms in association with the i-th website 3 and the j-th product information. Note that the tag acquisition unit 131 also associates the acquired one or more terms with the k-th UGC, for example. For example, the tag acquisition unit 131 associates one or more terms acquired in association with the site identifier of the i-th website, the product identifier of the j-th product information, and the identifier of the k-th UGC (not shown). Accumulate in buffer.

(Step S509) The tag acquisition unit 131 increments the counter k by 1. Return to step S507.

(Step S510) The tag acquisition unit 131 acquires one or more terms from the j-th product information (for example, product description information, product image) of the i-th website 3 . Next, the tag acquisition unit 131 accumulates the acquired one or more terms in association with the i-th website 3 and the j-th product information.

(Step S511) The tag acquisition unit 131 increments the counter j by 1. Return to step S505.

(Step S512) The tag acquisition unit 131 acquires the facets of the i-th website 3.

(Step S513) The tag acquisition unit 131 substitutes 1 for the counter l.

(Step S514) The tag acquisition unit 131 determines whether or not the l-th term exists in the facets acquired in step S512. If the l-th term exists, go to step S515, otherwise go to step S518.

(Step S515) The tag acquisition unit 131 acquires product identifiers of one or more items of product information searched by the l-th term.

(Step S516) The tag acquisition unit 131 associates the l-th term with the product identifier acquired in step S515 and the i-th website 3, and accumulates them in a buffer (not shown).

(Step S517) The tag acquisition unit 131 increments the counter l by 1. Return to step S514.

(Step S518) The tag acquisition unit 131 increments the counter i by 1. Return to step S502.

In addition, in the flow chart of FIG. 5, tags were obtained from UGC, product information, and facets. However, in the flowchart of FIG. 5, tags may be obtained from only one or two types of information among UGC, product information, and facets.

In addition, in the flowchart of FIG. 5, the tag acquisition unit 131 acquires a set of two or more terms in the facet, and obtains one or more products of each product information searched by the AND condition of the set of two or more terms. An identifier may be associated with a set of two or more terms and stored in a buffer (not shown).

Next, a second example of tag acquisition processing in step S402 will be described using the flowchart of FIG. In the flowchart of FIG. 6, the description of the same steps as in the flowchart of FIG. 5 will be omitted.

(Step S601) The tag acquisition unit 131 acquires search conditions from the received start instruction.

(Step S602) The tag acquisition unit 131 acquires one or more tags that constitute the search condition.

(Step S603) The tag acquisition unit 131 searches the i-th website for product information and the like using the search conditions. The product information and the like are usually product information and word of mouth.

Next, an example of the tag set acquisition process in step S403 will be described using the flowchart of FIG.

(Step S701) The set acquisition unit 132 sorts the acquired pairs of tags, site identifiers, and product identifiers using tags as keys, and performs unique processing on the tags. Note that the set acquisition unit 132 does not uniquely process a set of a site identifier and a product identifier. As a result, one tag may correspond to two or more sets of site identifiers and product identifiers.

(Step S702) The set acquisition unit 132 substitutes 1 for the counter i. Note that the counter i may start from 2 here. In such a case, the tag set will be a set of two or more tags.

(Step S703) The set acquisition unit 132 determines whether or not to create a web page with a combination of i hashtags. If a web page with a combination of i hash tags is to be created, go to step S704; otherwise, return to the higher-level processing.

For example, it is assumed that the number of combinations of hashtags to be created is predetermined.

(Step S704) The set acquisition unit 132 substitutes 1 for the counter j.

(Step S705) The set acquisition unit 132 determines whether or not the j-th combination of i tags can be acquired from the set of tags acquired in step S402. If the j-th combination of i tags can be acquired, go to step S706; if not, go to step S710.

(Step S706) The set acquisition unit 132 acquires the j-th combination of i tags from the set of tags acquired in step S402.

(Step S707) The set acquisition unit 132 acquires one or more pairs of product identifiers and site identifiers corresponding to the j-th combination of i tags.

A set of product identifiers and site identifiers corresponding to the j-th combination of i tags is a set of product identifiers and site identifiers corresponding to all tags included in the j-th combination of i tags. or a set of a product identifier and a site identifier corresponding to one tag included in the j-th combination of i tags, or a threshold value among the tags included in the j-th combination of i tags A set of product identifiers and site identifiers corresponding to the above number or ratio of tags may also be used.

(Step S708) The set acquisition unit 132 stores the j-th combination of i tags in a buffer (not shown) in association with one or more pairs of product identifiers and site identifiers acquired in step S707.

(Step S709) The set acquisition unit 132 increments the counter j by 1. Return to step S705.

(Step S710) The set acquisition unit 132 increments the counter i by 1. Return to step S703.

Next, an example of page configuration processing in step S406 will be described using the flowchart of FIG.

(Step S801) The page construction unit 133 acquires a target tag set from a buffer (not shown). Note that the target tag set is the i-th tag set in S405.

(Step S802) The page construction unit 133 acquires one or more hashtags using the one or more tags included in the tag set acquired in step S801, and arranges the one or more hashtags on the web page to be created. do.

(Step S803) The page construction unit 133 substitutes 1 for the counter i.

(Step S804) The page construction unit 133 determines whether or not there is an i-th product identifier paired with the target tag set. If the i-th product identifier exists, go to step S805; otherwise, return to the higher-level processing.

(Step S805) The page construction unit 133 acquires the i-th product identifier paired with the target tag set and the site identifier paired with the i-th product identifier.

(Step S806) The page construction unit 133 acquires product-related information related to the product identified by the i-th product identifier in the website 3 identified by the site identifier obtained in step S805. The page construction unit 133 arranges the obtained product-related information on the web page.

(Step S807) The page configuration unit 133 increments the counter i by 1. Return to step S804.

A specific operation example of the information system A according to this embodiment will be described below. Here, three specific examples will be described. In Specific Example 1, from one or more e-commerce sites (website 3), one or two or more from the description information of the product in the product information and the user review (word of mouth) of the product corresponding to the product information will be acquired, and a web page that is a web page that can be searched with the one or more hashtags and that allows easy access to one or more product information will be generated and stored. In a specific example 2, a case will be explained in which hashtags are acquired from terms acquired from product information of a type specified by a search condition and reviews, and a web page using two or more hashtags is generated and stored. In specific example 3, a case will be described in which facets are used to obtain hash tags, and web pages using the hash tags are generated and stored.

(Specific example 1)
Assume that the reception unit 12 of the page generation device 1 receives a start instruction from the terminal device 2 .

Next, the tag acquisition unit 131 acquires a web page from each website 3, which is one or more EC sites (websites 3) that sell clothes, bags, and the like, and includes a plurality of product information.

Next, the tag acquisition unit 131 morphologically analyzes the description information 902 in the product information (for example, 901 in FIG. 9), and obtains a term that is a specific part of speech such as a noun or a set of two or more terms (for example, “short term”). Length", "Casual", "Coordinated", and "Simple").

Next, the tag acquisition unit 131 performs a morphological analysis on the reviews 903 linked to the product information, and performs a morphological analysis on a term that is a specific part of speech such as a noun or a set of two or more terms (for example, “when commuting”). , "style", "no shoulder pain", "various scenes").

Next, the tag acquisition unit 131 selects hashtags (for example, “#short length”, “#casual”, “#coordinate”, “#simple”, “#commuting”, “#style”) from the acquired terms or term sets. , "#shoulder does not hurt", and "#various scenes") are obtained (904 in FIG. 9).

Next, the tag acquisition unit 131 temporarily accumulates the acquired hashtags in association with the product information and the reviews, which are tag source information from which the hash tags are acquired.

Next, the set acquisition unit 132 obtains one or more tag sets (for example, “#short length, #casual”, “#short length, #coordinate”, "#short length, #simple", "#short length, #commuting", "#short length, #style", "#short length, #shoulder pain", "#short length, #various scenes", ..., "#short length, #casual, #coordinated, #simple, #commuting, #style, #shoulder pain", ..., "#short length, #casual, #coordinated, #simple, #When commuting, #style, #shoulder pain, #various scenes”).

Next, the page construction unit 133 constructs a web page corresponding to each of two or more tag sets. Such a web page has a set of tags and, for example, product information 905 and product information 906 . Note that web pages corresponding to each tag set of two or more may have reviews 903 .

Next, the address acquisition unit 134 acquires unique address information (here, URL) that specifies a web page storage destination for each of two or more tag sets.

Next, the accumulation unit 135 accumulates the web pages for each of the two or more tag sets in the locations indicated by the acquired address information.

As described above, one or more web pages that allow easy access to the product information 901 have been generated.

(Specific example 2)
It is assumed that the reception unit 12 of the page generation device 1 has received a start instruction including the search condition “one piece” from the terminal device 2 .

Next, the tag acquisition unit 131 acquires one or more web pages from each website 3, which is one or more predetermined EC sites (websites 3) and includes multiple product information.

Next, the tag acquisition unit 131 acquires product information and reviews hit by the search condition “dress” from one or more of the acquired web pages. Next, the tag acquisition unit 131 morphologically analyzes the acquired reviews, and acquires terms such as “private,” “wedding,” “date,” and “business,” which are terms of specific parts of speech (here, nouns). do.

Next, the set acquisition unit 132 selects one or more of the term "dress" included in the search condition and the terms acquired from the review (for example, "private", "wedding", "date", and "business"). Obtain one or more tag sets that are one or more sets of hashtags corresponding to the term.

Next, the page constructing unit 133 acquires product information that hits the search condition “dress” and corresponds to the review that is the basis of the hash tag for each tag set of one or more. The page construction unit 133 also acquires at least one review paired with the acquired product information.

Next, the page constructing unit 133 constructs a web page including one or more acquired product information and a review corresponding to the product information for each of one or more tag sets.

Next, the address acquisition unit 134 acquires unique address information (here, URL) that specifies a web page storage destination for each of two or more tag sets.

Next, the accumulation unit 135 accumulates the web pages for each of the two or more tag sets in the locations indicated by the acquired address information.

As described above, one or more web pages that allow easy access to the product information 801 have been generated.

Next, assume that the user inputs an access instruction including "wedding" and "dress" to the terminal device 2 in order to purchase a dress that can be worn for a wedding.

Next, the terminal device 2 accepts the access instruction “wedding, dress” and transmits the access instruction to the page generation device 1 .

Next, the reception unit 12 of the page generation device 1 receives the access instruction "wedding, dress". Next, the processing unit 13 acquires a web page hit by the access instruction "wedding, dress". Next, the output unit 14 transmits the acquired web page to the terminal device 2 that transmitted the access instruction.

Next, the terminal device 2 receives and outputs the web page. An example of such an output is shown in FIG.

Next, it is assumed that the user instructs product information 1001 on the screen of FIG. Then, the terminal device 2 acquires and outputs the linked web page of the product information 1001 . An example of such an output is shown in FIG. The product information in FIG. 11 is, for example, product information included in one or more predetermined EC sites (website 3).

(Specific example 3)
Suppose now that there is a restaurant website 3 with the facets of FIG. The product here is a service of providing food at a restaurant. In addition, facets include prefectures and types of cuisine. In other words, on this website 3, the user can obtain product information of the restaurant by specifying the prefecture and the type of food.

Then, the page generation device 1 generates and accumulates one or more web pages as follows so that restaurant information existing on the website 3 can be searched well.

First, the tag acquisition unit 131 performs tag acquisition processing from facets as follows. That is, from the facets in FIG. 11 , the tag acquisition unit 131 extracts the terms “Hokkaido, Aomori Prefecture, . . . Fukushima Prefecture, . kaiseki/kaiseki cuisine, kappo/small dishes, …, sushi, …”.

Here, the tag acquisition unit 131 acquires a term for each type of term constituting a facet (here, prefecture, type of cuisine).

Next, the tag acquisition unit 131 selects hashtags “#Hokkaido, #Aomori, . . . #Fukushima, . . . Italian cuisine, .

Next, the set acquisition unit 132 performs tag set acquisition processing as follows. That is, the set acquisition unit 132 obtains two tags for each type of tag set consisting of one hashtag "Hokkaido", "Aomori Prefecture", "Western food", "French food", "Sushi", and so on. The three hashtags “#Hokkaido, #Western food”, “#Hokkaido, #French food”, “#Aomori Prefecture, #Western food”, “#Fukushima Prefecture, #Sushi”, etc. are acquired.

Next, the page construction unit 133 acquires product information (here, restaurant information) that is searched for using the terms that form the hashtags of the tag set for each of the acquired tag sets.

Next, for each acquired tag set, the page construction unit 133 accesses the tag set and the acquired one or two or more product information or the acquired one or two or more product information (for example, , anchor information) is placed on the web page.

Next, the address acquisition unit 134 acquires unique address information (here, URL) that specifies a web page storage destination for each of the configured two or more web pages.

Next, the accumulation unit 135 accumulates the acquired web pages for each tag set at the location indicated by the acquired URL.

In the above specific examples, it is preferable to acquire tags from two or three kinds of tag source information of word-of-mouth, product information, and facets, configure web pages using the tags, and store the tags.

As described above, according to the present embodiment, it is possible to create a web page that allows easy access to product information. This is a so-called SEO measure.

In addition, according to the present embodiment, web pages can be created from two or more websites 3 so that product information can be easily accessed.

Furthermore, according to the present embodiment, UGC for the website 3 or hashtags acquired from provided information can be used to create a web page that allows easy access to product information.

Note that the processing in this embodiment may be realized by software. Then, this software may be distributed by software download or the like. Also, this software may be recorded on a recording medium such as a CD-ROM and distributed. Note that this also applies to other embodiments in this specification. The software that implements the page generation device 1 in this embodiment is the following program. In other words, this program comprises a computer, a tag acquisition unit that acquires one or more tags using tag source information corresponding to one or more product information in a website containing one or more product information; a set acquisition unit that acquires one or more tag sets that are a combination of the one or more tags from the one or more tags that the tag acquisition unit has acquired; and one or more tags that the set acquisition unit has acquired. A web page that uses one or more tags of the tag set as hashtags for the set, information corresponding to each of the one or more tags, and constitutes a web page that has product-related information related to the product. a page construction unit, an address acquisition unit for acquiring address information for storing the web page constructed by the page construction unit, and the web constructed by the page construction unit for the address information acquired by the address acquisition unit. This is a program for functioning as an accumulation unit for accumulating pages.

Also, FIG. 13 shows the appearance of a computer that executes the program described in this specification and realizes the page generation device 1 and the like of the various embodiments described above. The embodiments described above may be implemented in computer hardware and computer programs running thereon. FIG. 13 is an overview diagram of this computer system 300, and FIG. 14 is a block diagram of the system 300. As shown in FIG.

In FIG. 13, computer system 300 includes computer 301 including a CD-ROM drive, keyboard 302 , mouse 303 and monitor 304 .

14, a computer 301 includes a CD-ROM drive 3012, an MPU 3013, a bus 3014 connected to the CD-ROM drive 3012, a ROM 3015 for storing programs such as a boot-up program, It includes a RAM 3016 connected and for temporarily storing application program instructions and providing temporary storage space, and a hard disk 3017 for storing application programs, system programs and data. Although not shown here, computer 301 may also include a network card that provides connection to a LAN.

A program that causes the computer system 300 to execute the functions of the page generation device 1 of the embodiment described above may be stored in the CD-ROM 3101, inserted into the CD-ROM drive 3012, and transferred to the hard disk 3017. . Alternatively, the program may be transmitted to computer 301 via a network (not shown) and stored in hard disk 3017 . Programs are loaded into RAM 3016 during execution. The program may be loaded directly from CD-ROM 3101 or network.

The program does not necessarily include an operating system (OS) or a third-party program that causes the computer 301 to execute the functions of the page generation device 1 of the embodiment described above. A program need only contain those parts of instructions that call the appropriate functions (modules) in a controlled manner to produce the desired result. How the computer system 300 operates is well known and will not be described in detail.

In the above program, the step of transmitting information, the step of receiving information, etc. are performed by hardware. processing) are not included.

Also, the number of computers that execute the above programs may be singular or plural. That is, centralized processing may be performed, or distributed processing may be performed.

Further, in each of the above embodiments, it goes without saying that two or more communication means existing in one device may be physically realized by one medium.

Further, in each of the above embodiments, each process may be implemented by centralized processing by a single device, or may be implemented by distributed processing by a plurality of devices.

It goes without saying that the present invention is not limited to the above-described embodiments, and that various modifications are possible and are also included within the scope of the present invention.

As described above, the page generation device 1 according to the present invention has the effect of being able to create web pages that are easy to hit in searches and that include product information, and is useful as a server or the like that generates pages.

A information system 1 page generation device 2 terminal device 3 website 11 storage unit 12 reception unit 13 processing unit 14 output unit 21 terminal storage unit 22 terminal reception unit 23 terminal processing unit 24 terminal transmission unit 25 terminal reception unit 26 terminal output unit 131 Tag acquisition unit 132 Set acquisition unit 133 Page construction unit 134 Address acquisition unit 135 Storage unit

Claims (6)

Information corresponding to one or more product information in a website containing one or more product information, and one or more tags using facets used for narrowing down product information on the website a tag acquisition unit to acquire;
a set acquisition unit that acquires one or more tag sets that are a combination of one or two or more tags from one or two or more tags acquired by the tag acquisition unit;
For each of the one or more tag sets acquired by the set acquisition unit, a web page with one or more tags of the tag set as hash tags, information corresponding to the one or more tags, and information on the product a page configuration part that configures a web page having related product-related information;
and an accumulation unit that accumulates the web page constructed by the page construction unit. The tag acquisition unit
2. The page generator of claim 1, wherein the two or more tags are obtained from facets corresponding to one or more product information in each of the two or more websites. A web page production method realized by a tag acquisition unit, a set acquisition unit, a page configuration unit, and an accumulation unit,
The tag acquisition unit is information corresponding to one or more product information in a website containing one or more product information, and using a facet used for narrowing down product information on the website , 1 or a tag acquisition step of acquiring two or more tags;
a set obtaining step in which the set obtaining unit obtains one or more tag sets that are a combination of one or two or more tags from the one or two or more tags obtained in the tag obtaining step;
The page configuration unit is a web page in which, for each of the one or more tag sets obtained in the set obtaining step, each of the one or more tags possessed by the tag set is used as a hash tag, and corresponds to each of the one or more tags. a page configuration step of configuring a web page having product-related information related to the product, which is information to
and an accumulation step in which the accumulation unit accumulates the web page configured in the page configuration step. In the tag acquisition step,
4. The method of claim 3, wherein the two or more tags are obtained from facets corresponding to one or more product information in each of the two or more websites. the computer,
Information corresponding to one or more product information in a website containing one or more product information, and one or more tags using facets used for narrowing down product information on the website a tag acquisition unit to acquire;
a set acquisition unit that acquires one or more tag sets that are a combination of one or two or more tags from one or two or more tags acquired by the tag acquisition unit;
For each of the one or more tag sets acquired by the set acquisition unit, a web page with one or more tags of the tag set as hash tags, information corresponding to the one or more tags, and information on the product a page configuration part that configures a web page having related product-related information;
A program for functioning as an accumulation unit for accumulating the web page configured by the page configuration unit. The tag acquisition unit
6. The program of claim 5 for causing the computer to function as obtaining two or more tags from facets corresponding to one or more product information in each of two or more websites.

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