Calculation device, calculation method, and program

Abstract

The present invention provides a computing device and the like for computing an indicator (hereinafter also referred to as "emphasis level") used when controlling the display of information on a webpage that a buyer views when considering purchasing a product in an online transaction. The computing device includes an emphasis level computing unit that computes an emphasis level, which is an indicator representing the amounts of emphasis the user intending to buy a product places on person information and item information, using an operation log of the webpage and person / item information. The person information is information pertaining to a user selling the product, and the item information is information pertaining to the product. The person / item information is information representing whether each item of content on the webpage is person information or item information.

Description

[Technical field]

[0001] The present invention relates to techniques for presenting information. [Background technology]

[0002] When buying and selling goods between individuals online, a user who sells a product (hereinafter, also simply referred to as a "seller") makes product information and user information public, and a user who wants to purchase a product (hereinafter, also simply referred to as a "purchaser") selects a product to purchase from a variety of products offered by multiple users (sellers) and makes a transaction. Product information includes, for example, price, image, freely descriptive text, selectable product-related information such as category and product condition, and selectable product sales-related information such as shipping fee burden and number of days until delivery. User information includes, for example, user name, account image, number of transactions, transaction evaluation, comment response, number of likes, other items on sale, and the like. To date, methods have been proposed that use the purchase information of each purchaser to create a recommendation list (see Patent Document 1) and that update the interest level in a target of interest from each user's behavior history (see Patent Document 2). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2013-109665 A [Patent Document 2] JP 2011-175442 A Summary of the Invention [Problem to be solved by the invention]

[0004] In online transactions (for example, transactions between individuals or between companies and individuals), the amount and quality of information disclosed varies from seller to seller. Meanwhile, the information that buyers consider important when making a purchase decision varies. Particularly in transactions between individuals, there are large differences in the amount and quality of information disclosed by sellers, with some buyers considering only product information as important when making a purchase, and others considering both product information and user information as important.

[0005] However, conventional product recommendations based on purchase history are mainly based on information about the purchase history of the purchaser, and do not take into account which information the purchaser considers important when making a purchase decision. This has the problem that it takes time to select a product, which can lead to reduced convenience and a reduced matching rate. For example, a purchaser who considers seller information important must first select a product they like from the recommended products, and then select a seller from which they can purchase the product with confidence from among the sellers of that product, which can take a lot of time.

[0006] In addition, the conventional method of updating the user's interest level calculates the interest level for information about products and services, but does not take user information into consideration. In online transactions of goods, attention must also be paid to user information, and as mentioned above, the degree of importance given to product information and user information, which are of different natures, varies from purchaser to purchaser.

[0007] The present invention aims to provide a calculation device, a calculation method, and a program for calculating an index (hereinafter also referred to as "importance level") used in controlling the display of information on a web page viewed by a purchaser when considering purchasing a product in online transactions. The importance level is an index indicating how much importance is attached to human information and product information. Human information is information about a user who is a seller of a product, such as a user name, account image, number of transactions, transaction evaluation, comment response, number of likes, other items on sale, etc. Product information is information about a product, such as price, image, freely descriptive text, selectable product information such as category and product condition, and selectable information related to product sales such as shipping fee burden and number of days until delivery. [Means for solving the problem]

[0008] In order to solve the above problems, according to one aspect of the present invention, a computing device includes an importance level calculation unit that uses a webpage operation log L and person / thing information to calculate an importance level that is an index indicating how important a user who is trying to purchase a product attaches to human information and thing information, where the human information is information about the user selling the product, the thing information is information about the product, and the person / thing information is information indicating whether each content on the webpage is human information or thing information. Effect of the Invention

[0009] According to the present invention, the importance level is used to control the display of information on a web page, thereby making it possible to easily access the information that the purchaser considers important, and to easily access a web page that is rich in information that the purchaser considers important. [Brief description of the drawings]

[0010] [Figure 1] FIG. 1 is a diagram showing an example of the configuration of a presentation system according to a first embodiment. [Diagram 2] FIG. 2 is a functional block diagram of an importance level calculation device according to the first embodiment. [Diagram 3] FIG. 11 is a diagram showing an example of a process flow for calculating an initial value. [Figure 4] FIG. 13 is a diagram showing an example of a process flow for updating an importance level, updating a degree of fulfillment, and customizing a layout. [Diagram 5] FIG. 13 is a diagram showing an example of the configuration of a computer to which the present technique is applied. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] Hereinafter, an embodiment of the present invention will be described. In the drawings used in the following description, components having the same functions and steps performing the same processing are denoted with the same reference numerals, and duplicated explanations will be omitted. In the following description, processing performed on each element of a vector or matrix is ​​applied to all elements of that vector or matrix, unless otherwise specified.

[0012] First Embodiment FIG. 1 shows an example of the configuration of a presentation system according to the first embodiment.

[0013] The presentation system includes a user terminal 10, a web browser 20, a web server 30, and an importance level calculation device 40.

[0014] <User terminal 10, web browser 20, web server 30> The user terminal 10 is a terminal operated by a user (purchaser), and is, for example, a personal computer or a smartphone.

[0015] The web server 30 is a server computer that operates a service that provides the web browser 20 with the display of predetermined data (HTML (Hypertext Markup Language) and objects (images, etc.)) in accordance with a predetermined protocol (for example, HTTP (Hypertext Transfer Protocol)). In this embodiment, the predetermined data includes information on things and information on people, and the web server 30 constructs an EC site.

[0016] The web browser 20 is software for connecting to the web server 30 via a network, and has functions such as displaying web pages and following hyperlinks. The web browser 20 is implemented on the user terminal 10. The web browser 20 requests data transmission from the web server 30, which manages a web page specified by the user, via the user terminal 10, and reads the specified data (HTML and objects (images, etc.)) that have been sent and displays it in a specified layout.

[0017] <Importance Level Calculation Device 40> The importance level calculation device 40 is connected to the web browser 20 so as to be able to communicate with the web browser 20 via a network, and receives the questionnaire response results A regarding important information, the importance level P, the web page operation log L, and the web page information i from the web browser 20, calculates the importance level P, and outputs customized web page information h to the web browser 20. The importance level P is an initial value P of the importance level P. ini or updated importance level P up The information on the web page includes an identifier of the web page, information on the content on the web page (for example, the content itself), and information on the layout of the content on the web page.

[0018] The importance level calculation device 40 includes the following three functions.

[0019] (Function 1: Importance level calculation) The importance level calculation device 40 calculates an initial value P of the importance level P from the answer A of the questionnaire regarding the information to be considered important. ini and updates the importance level P from the purchaser's web page operation log L. Note that the importance level P is calculated for each purchaser.

[0020] (Function 2: Calculation of fulfillment) The importance level calculation device 40 calculates the fulfillment level f of the contents (person information, product information) in the web page by using the operation log L of the purchaser whose importance level P is known. The fulfillment level f is calculated for each web page.

[0021] (Feature 3: Web page customization) The importance level calculation device 40 customizes (rearranges, highlights, changes layout, etc.) the web page using the purchaser's importance level P and the fulfillment level f. Note that the customization of the web page is performed for each combination of a purchaser and a web page.

[0022] The importance level calculation device 40 that realizes the above-mentioned functions 1 to 3 will now be described.

[0023] 2 shows a functional block diagram of importance level calculation device 40. Importance level calculation device 40 includes an importance level calculation section 41, a user data management section 42, a web data management section 43, a content fullness calculation section 44, a layout customization section 45, and a communication section 46.

[0024] The importance level calculation device is a special device configured by loading a special program into a publicly known or dedicated computer having, for example, a central processing unit (CPU), a main storage device (RAM), etc. The importance level calculation device executes each process under the control of the central processing unit, for example. Data input to the importance level calculation device and data obtained by each process are stored in, for example, the main storage device, and the data stored in the main storage device is read out to the central processing unit as necessary and used for other processes. At least a part of each processing unit of the importance level calculation device may be configured by hardware such as an integrated circuit. Each storage unit of the importance level calculation device may be configured by, for example, a main storage device such as a RAM (Random Access Memory), or middleware such as a relational database or a key-value store. However, each storage unit does not necessarily need to be provided inside the importance level calculation device, and may be configured by an auxiliary storage device configured by a semiconductor memory element such as a hard disk, optical disk, or flash memory, and may be configured to be provided outside the importance level calculation device.

[0025] Each part will be explained below.

[0026] <Communication Division 46> The importance level calculation device 40 is connected to the web browser 20 so as to be able to communicate with the web browser 20 via the communication unit 46. The importance level calculation device 40 receives, via the communication unit 46, a questionnaire response result A regarding important information, which will be described later, a web page operation log L, and web page information i from the web browser 20, and calculates an initial value P of the importance level P. ini or updated importance level P up Then, the customized web page information h is transmitted to the web browser 20 via the communication unit 46.

[0027] <User data management unit 42> The user data management unit 42 stores a user identifier, a questionnaire response result A, a web page operation log L, and an importance level P (initial value P) calculated by an importance level calculation unit 41 described later. ini or updated importance level P up ) and performs data management. Here, "data management" is a concept that includes the safe storage of the data itself, as well as the construction of a database that allows easy search by adding, correcting, modifying, deleting, etc. the data.

[0028] <Web Data Management Department 43> The web data management unit 43 receives the web page information i and the fulfillment f calculated by the content fulfillment calculation unit 44 described later, and manages the data together with information g indicating whether each content on the web page is human information or object information (hereinafter also referred to as "human object information") as data. Information on the content on the web page included in the web page information i and the human object information g are stored as a set. For example, the human object information g is known, and a tag indicating whether it is human information or object information is attached to each content on the web page. Also, for example, whether a certain content is human information or object information is stored in advance as a list, and the list is referred to to determine whether each content on the web page is human information or object information, and a combination of information on each content and the determination result (information indicating whether it is human information or object information, i.e., the human object information g) is stored. In addition, for example, a model that classifies content as human information or object information is trained in advance using machine learning, and the trained model is used to classify each piece of content on a web page as human information or object information, and a combination of information about each piece of content and the classification result (information indicating whether it is human information or object information, i.e., human-object information g) is stored.

[0029] <Importance level calculation unit 41> The importance level calculation unit 41 receives the questionnaire response result A or the importance level P, the web page operation log L, and the person / object information g stored in the web data management unit 43, and calculates the importance level P (initial value P ini or updated importance level P up ) and outputs it to the user data management unit 42. The importance level P is held in the user data management unit 42. The importance level P includes a human information importance level indicating how much importance is attached to human information when trading, and an object information importance level indicating how much importance is attached to object information when trading. The human information importance level may be an index consisting of multiple values ​​by assigning values ​​to multiple items considered when calculating the human information importance level, respectively, or may be an index consisting of one value obtained by weighting and adding the multiple values. The object information importance level may similarly be an index consisting of multiple values, or may be an index consisting of one value.

[0030] (Initial value calculation) Prior to the user viewing a web page, the importance level calculation unit 41 conducts a questionnaire regarding information that is considered important, for example, a questionnaire regarding how important object information and human information are, with the user via the web browser 20 and the user terminal 10, and receives the questionnaire response result A. The questionnaire evaluates one or more items to be taken into consideration when calculating the human information importance level and object information importance level, for example, on a seven-point scale (7: very important, 6: slightly important, 5: somewhat important, 4: neutral, 3: somewhat unimportant, 2: not very important, 1: not important at all).

[0031] For example, to calculate the initial value of the human information importance level, the questionnaire includes questions such as "Do you consider the price of the product important?", "Do you consider the image of the product important?", and "Do you consider the description of the product important?".

[0032] Also, for example, in order to calculate the initial value of the human information importance level, the questionnaire includes questions such as "Do you consider the number of transactions with a seller to be important?", "Do you consider the seller's transaction evaluation to be important?", and "Do you consider the seller's response to comments to be important?".

[0033] The importance level calculation unit 41 calculates an initial value P of the importance level P based on the answer A of the questionnaire. ini Calculate the initial value P ini to the user data management unit 42. For example, the questionnaire response result A may be used as it is as the initial value of the importance level P, or the response results related to the human information importance level may be weighted and added to obtain a human information importance level consisting of one value, and the response results related to the object information importance level may be weighted and added to obtain an object information importance level consisting of one value.

[0034] (Importance level update) The importance level calculation unit 41 receives the web page operation log L, the person-object information g, and the importance level P before the update, updates the importance level P, and calculates the updated importance level P up to the user data management unit 42.

[0035] An example of a method for updating the importance level P from the web page operation log L and person / object information g will be shown.

[0036] (Update method 1) The importance level P is updated based on the time the content is displayed on the screen. For example, if a lot of human information is being viewed, the human information importance level is updated to be higher. Also, for example, if the time object information is displayed is short, the object information importance level is updated to be lower. For example, a model is created in advance that returns a larger value as the importance level corresponding to content the longer the content is displayed, the importance level is found from the content display time, and the weighted sum of the found importance level and the importance level before the update is set as the importance level after the update.

[0037] (Update method 2) Update the importance level P based on the rate at which user information links are accessed. For example, if human information is always viewed every time, the human information importance level is updated to be higher. Also, for example, if links are rarely accessed, the human information importance level is updated to be lower. For example, a model is created in advance that returns a higher value as the human information importance level the greater the rate at which human information links are accessed, and the human information importance level is found from the rate at which human information links are accessed, and the weighted sum of the found human information importance level and the human information importance level before the update is set as the human information importance level after the update.

[0038] (Update method 3) Update the importance level P based on the number of times the image is scrolled. For example, if the image is scrolled to view the object information many times, update the object information importance level to a higher level. For example, a model is created in advance that returns a larger value as the object information importance level the more times the image is scrolled, and the object information importance level is found from the number of times the image is scrolled, and the weighted sum of the found object information importance level and the object information importance level before the update is set as the object information importance level after the update.

[0039] (Update method 4) Update the importance level P based on the number of times the image is enlarged. For example, if the image is enlarged many times to look at the object information in detail, the object information importance level is updated to be higher. For example, a model is created in advance that returns a larger value as the object information importance level the more times the image is enlarged, and the object information importance level is found from the number of times the image is enlarged, and the weighted sum of the found object information importance level and the object information importance level before the update is set as the object information importance level after the update.

[0040] The above-mentioned update method is an example, and the importance level may be updated by other methods. In short, it is sufficient to obtain from the operation log whether the object information is important or not, or whether the object information importance level is important or not, and to update the importance level before the update using the obtained importance level.

[0041] <Contents enrichment calculation unit 44> The content fulfillment calculation unit 44 receives the web page operation log L, the person / object information g, and the importance level P as input, and calculates the fulfillment f by a calculation model held in the content fulfillment calculation unit 44. The calculated fulfillment f is held in the web data management unit 43. The fulfillment f includes a human information fulfillment indicating whether the human information on the web page is fulfilled, and an object information fulfillment indicating whether the object information on the web page is fulfilled.

[0042] For example, a purchaser who knows the importance level P evaluates the substantiality f of the content of a web page based on the time and number of times the purchaser views the web page.

[0043] (Example of a fulfillment evaluation method) (Example 1) If the user information in a web page is viewed for a long time by a person with a high level of importance attached to human information, the human information richness is evaluated as high, and if the time is short, the human information richness is evaluated as low. On the other hand, the length of time viewed by a person with a low level of importance attached to human information does not affect the human information richness. Whether the importance level is low or high can be determined by the magnitude relationship with a specified threshold.

[0044] (Example 2) If an image on a webpage has been viewed many times by people with a high level of importance attached to object information, the richness of object information is evaluated as high, and if not, the richness of object information is evaluated as low. On the other hand, the number of times an image on a webpage has been viewed by people with a low level of importance attached to object information is not considered to affect the richness of object information.

[0045] These evaluations may be performed for one or more users who view a web page, and information on how many people with the importance level P are involved in the evaluation may be stored in a list and updated. For example, when a certain user views a certain web page, the degree of satisfaction may be calculated from the operation log L of the web page and the importance level P of the user, and the degree of satisfaction before the update may be updated using the calculated degree of satisfaction.

[0046] <Layout Customization Section 45> Layout customization unit 45 receives as input the purchaser's importance level P, the fulfillment level f of the web page, web data information i, and person / item information g, and customizes (rearranges, highlights, changes layout, etc.) the web page according to the purchaser's importance level P and the fulfillment level f of the web page. As described above, web data information i includes a web page identifier, information about the content on the web page (e.g., the content itself), and information about the layout of the content on the web page.

[0047] The importance level P, web data information i, person / item information g, and fulfillment level f are input, and the layout within the web is customized using a customization model held in the layout customization unit 45. For example, the layout customization unit 45 customizes the layout based on the importance level P and fulfillment level f so as to give priority to displaying information that each purchaser considers important.

[0048] (Example of how to customize) (Example 1) Sorting For a purchaser who places a high level of importance on personal information, the layout is customized so that products on web pages with a high degree of personal information richness are preferentially displayed at the top.

[0049] For a purchaser who places a high level of importance on product information, the layout is customized so that products on web pages with a high level of product information are preferentially displayed at the top.

[0050] For example, the layout customization unit 45 determines whether the importance level of the purchaser is high or not based on the magnitude relationship between the importance level P of the purchaser and a predetermined threshold value, ranks the web pages based on their completeness f, and displays the web pages with higher rankings preferentially so that they are easier to access.

[0051] (Example 2) Highlighting For a purchaser with a high level of importance attached to personal information, the layout is customized so that products on web pages with a high degree of personal information enrichment are displayed in a frame or enlarged.

[0052] For a purchaser who places a high importance on product information, the layout is customized so that products on a web page with a high level of product information are displayed in a frame or enlarged.

[0053] For example, the layout customization unit 45 determines whether the purchaser's importance level is high based on the relationship between the importance level P of the purchaser and a predetermined threshold value, and determines whether the web page has a high level of fulfillment based on the relationship between the fulfillment level f of the web page and a predetermined threshold value, and displays the web pages with a high level of fulfillment preferentially so that they stand out and are easy to access.

[0054] (Example 3) Layout change For purchasers who attach a high level of importance to people information, the positions of the people information and the object information are changed so that content related to people information on the web page is more easily accessible than content related to object information.

[0055] For a purchaser who places a high level of importance on object information, the positions of the person information and object information are changed so that content related to object information on a web page is easier to access than content related to person information.

[0056] For example, the layout customization unit 45 determines whether the importance level of the purchaser is high or not based on the magnitude relationship between the purchaser's importance level P and a predetermined threshold value, customizes information regarding the layout of the content on the web page contained in the web data information i, and changes the positions of the person information and object information on the web page to make it easier to access the content with a high importance level.

[0057] The process flow of the importance level calculation device 40 will be described below.

[0058] <Process flow for calculating initial values> FIG. 3 shows an example of a process flow for calculating the initial value.

[0059] The purchaser operates the user terminal 10 (S11) to access the web server 30 with the web browser 20. At this time, the web browser 20 transmits a request to the web server 30 (S13), and the web server 30 returns a response to the web browser 20 (S15).

[0060] When the web browser 20 accesses the web server 30 for the first time, the web browser 20 transmits information i of the accessed web page to the importance level calculation device 40 (S17).

[0061] When a purchaser uses the presentation system including the importance level calculation device 40 for the first time, the importance level calculation device 40 first transmits questionnaire information to the web browser 20 (S19).

[0062] The web browser 20 transmits the questionnaire information to the user terminal 10 (S21), and the user terminal 10 presents the questionnaire to the purchaser. The purchaser operates the user terminal 10 to answer the questionnaire, and the user terminal 10 transmits the questionnaire answer result A to the web browser 20 (S23). Furthermore, the web browser 20 transmits the questionnaire answer result A to the importance level calculation device 40 (S25). The importance level calculation device 40 calculates the initial value P of the importance level P. ini (S26), and the initial value P ini The web data management unit 43 of the importance level calculation device 40 outputs the accessing user identifier, the questionnaire answer result A, the initial value P ini The combination of these is managed as data.

[0063] The web browser 20 inputs the initial value P ini (S29), and the user terminal 10 transmits the initial value P ini The initial value P iniBy retaining the importance level P including the above, when a different web browser or web page is used, the retained importance level P is transmitted to the importance level calculation device 40 via the web browser. The importance level calculation device 40 can customize the web page using the importance level P. With this configuration, the importance level P obtained through the use of a certain web page can be used to customize another web page.

[0064] <Process flow for updating importance level> FIG. 4 shows an example of a process flow for updating the importance level, updating the degree of fulfillment, and customizing the layout.

[0065] The purchaser operates the user terminal 10 (S51) to access the web server 30 with the web browser 20. At this time, the web browser 20 transmits a request to the web server 30 (S53), and the web server 30 returns a response to the web browser 20 (S55).

[0066] The user terminal 10 outputs the importance level P to the web browser 20 (S57).

[0067] The web browser 20 accumulates the web page operation log L (S59).

[0068] The web browser 20 transmits the web page information i, the web page operation log L, and the importance level P to the importance level calculation device 40 (S60).

[0069] The importance level calculation unit 41 of the importance level calculation device 40 extracts the person / object information g stored in the web data management unit 43 based on the web page information i. The importance level calculation unit 41 receives the person / object information g, the web page operation log L, and the importance level P of each content, and updates the importance level P using the person / object information g and the web page operation log L of each content (S61), and calculates the updated importance level P. upto the web browser 20 (S62), and the web browser 20 transmits the updated importance level P up to the user terminal 10 (S63). The importance level P is stored in a storage unit (not shown) in the user terminal 10. The importance level P held in the user terminal 10 can be updated by inputting it to the importance level calculation device 40. The above-mentioned S57 to S63 are performed every time a predetermined period has elapsed or every time a purchaser accesses the web server 30 via the user terminal 10 and the web browser 20. The web data management unit 43 of the importance level calculation device 40 manages a combination of the accessing user identifier, the operation log L, and the importance level P as data.

[0070] <Process flow for updating completeness> The content fulfillment calculation unit 44 of the importance level calculation device 40 calculates the fulfillment of the content information in the web page using the web page operation log L, the person / thing information g, and the importance level P, and calculates and updates the fulfillment f (S71). The web data management unit 43 of the importance level calculation device 40 manages the combination of the web page information i, the person / thing information g, and the fulfillment f as data.

[0071] <Layout customization process flow> The layout customization unit 45 of the importance level calculation device 40 customizes (rearranges, highlights, changes layout, etc.) the web page according to the purchaser's importance level P and the fulfillment level f of the web page (S73), and transmits information h of the customized web page to the web browser 20 (S75).

[0072] The web browser 20 presents the web page customized based on the information h to the user via the user terminal 10 (S77).

[0073] <Effects> With the above configuration, the presentation system uses the importance level to control the display of information on a web page in accordance with user characteristics, and can display the information that the purchaser considers important in an easily accessible manner, or display a web page that contains a wealth of information that the purchaser considers important in an easily accessible manner. Such display control allows the purchaser to quickly select a product.

[0074] <Modification> In this embodiment, the importance level calculation device 40 is configured to include an importance level calculation unit 41, a content fulfillment calculation unit 44, and a layout customization unit 45. However, the importance level calculation unit 41, the content fulfillment calculation unit 44, and the layout customization unit 45 may exist as separate devices, and may be placed on the user terminal 10 side, for example.

[0075] The importance level calculation device 40 may be connected to the user terminal 10 or the web server 30 if the operation log L and the web page information i can be acquired without going through the web browser 20. <Other Modifications> The present invention is not limited to the above-mentioned embodiment and modified examples. For example, the above-mentioned various processes may be executed not only in chronological order as described, but also in parallel or individually depending on the processing capacity of the device executing the processes or as necessary. In addition, appropriate modifications are possible within the scope of the present invention.

[0076] <Programs and recording media> The various processes described above can be implemented by loading a program for executing each step of the above method into the memory unit 2020 of the computer shown in FIG. 5 and operating the control unit 2010, input unit 2030, output unit 2040, etc.

[0077] The program describing the processing contents can be recorded on a computer-readable recording medium, which may be, for example, a magnetic recording device, an optical disk, a magneto-optical recording medium, a semiconductor memory, or any other type of recording medium.

[0078] The program may be distributed, for example, by selling, transferring, lending, etc. portable recording media such as DVDs and CD-ROMs on which the program is recorded. Furthermore, the program may be distributed by storing the program in a storage device of a server computer and transferring the program from the server computer to other computers via a network.

[0079] A computer that executes such a program, for example, first stores the program recorded on a portable recording medium or the program transferred from a server computer in its own storage device. Then, when executing a process, the computer reads the program stored in its own recording medium and executes a process according to the read program. As another execution form of the program, the computer may directly read the program from the portable recording medium and execute a process according to the program, or may execute a process according to the received program each time a program is transferred from the server computer to the computer. The above-mentioned process may be executed by a so-called ASP (Application Service Provider) type service that realizes a processing function only by issuing an execution instruction and obtaining a result, without transferring a program from the server computer to the computer. Note that the program in this embodiment includes information used for processing by an electronic computer and equivalent to a program (data that is not a direct command to the computer but has a nature that specifies the processing of the computer, etc.).

[0080] In addition, in this embodiment, the present device is configured by executing a specific program on a computer, but at least a part of the processing contents may be realized by hardware.

Claims

1. A system including an importance level calculation unit that calculates an importance level, which is an index showing how much importance a user who is about to purchase a product attaches to human information and object information, by using a web page operation log and human and object information; The human information is information about a user who sells a product, and the product information is information about the product, the person and object information is information indicating whether each content on the web page is person information or object information, and the system includes a content fulfillment calculation unit that uses the operation log, the person and object information, and the importance level to calculate fulfillment including an object information fulfillment indicating whether the object information on the web page is fulfilled and a human information fulfillment indicating whether the human information on the web page is fulfilled, a layout customization unit that customizes a layout of the web page so as to preferentially display information that is important to each purchaser based on the importance level and the degree of fulfillment, computing device.

2. A calculation method using a calculation device, comprising: an importance level calculation step in which the computing device calculates an importance level, which is an index showing how much importance a user who is about to purchase a product attaches to human information and object information, by using the web page operation log and person / object information; The person information is information about a user who sells a product, and the product information is information about the product, the person and object information is information indicating whether each content on the web page is person information or object information; a content enrichment calculation step in which the computing device calculates, using the operation log, the person and object information, and the importance level, an enrichment degree including an object information enrichment degree indicating whether the object information on the web page is enriched and a person information enrichment degree indicating whether the person information on the web page is enriched; a layout customization step of customizing a layout of the web page by the computing device so as to preferentially display information that is important to each purchaser based on the importance level and the degree of fulfillment; Calculation method.

3. A program for causing a computer to function as the computing device of claim 1.

Images