JP2009282600A - Server, system, method, and program for providing commodity information using profile - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a recommendation degree with respect to the user of a commodity which reflects the profile of the other user similar to that of user requesting information related to the commodity. <P>SOLUTION: A commodity information providing server 20 includes: a communication part 220 for receiving a browsing request for the information related to the commodity from the terminal 10 of the user who is authenticated by an authentication part 231; a comparing part 232 for comparing the attribute information of the user with the history of the purchase of the browsing-requested commodity in the past with the attribute information of the authenticated user; a determining part 233 for determining the weighting of the attribute information of the user with the history of the purchase of the browsing-requested commodity based on the result of comparison and a prescribed condition; and a recommendation degree calculating part 234 for calculating the recommendation degree with respect to the user of the commodity based on the determined weighting and the evaluation value of the commodity by the user. The calculated recommendation degree and the information related to the commodity corresponding to the received browsing request are transmitted by the communication part 220 to the terminal 10. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a product information providing server, system, method, and program using a profile.

  In recent years, with the development of communication technologies such as the Internet, it has become widespread to purchase products using terminal devices connected via communication lines. For this reason, various techniques have been proposed in order to provide information about products to terminal devices connected via communication lines.

For example, a technique is disclosed that provides information related to product sales suitable for a user before the user browses an individual product page on the terminal device (see Patent Document 1).
JP 2007-128133 A

  However, in the technology as described above, information on the product is provided based on information input in advance by the user, and thus information on other users is not reflected.

  Therefore, an object of the present invention is to provide a degree of recommendation for a user of this product reflecting the profile of another user similar to the profile of the user who requests information about the product.

  The present invention provides the following solutions.

  (1) A product information providing server communicatively connected to a plurality of user terminals, user attribute information storage means for storing attribute information of a user who operates the user terminal, and information related to a product purchased by the user Product information storage means for storing, past purchase user attribute storage means for storing a product purchased by a user in the past via the plurality of user terminals, and attribute information of a user who purchased the product in association with each other; Authentication means for authenticating a user who has accessed from a user terminal, receiving means for receiving a browsing request for information on the product from the user terminal of the authenticated user, and purchasing the product requested for browsing in the past Comparison means for comparing the user attribute information with the attribute information of the user authenticated by the authentication means, and as a result of comparison of the comparison means, the browsing Based on the determination means for determining the weight of the attribute information of the user who purchased the requested product in the past based on a predetermined condition, the weight determined by the determination means, and the evaluation value of the product by the user A recommendation degree calculating means for calculating a recommendation degree for the user of the product, a recommendation degree calculated by the recommendation degree calculating means, and information relating to the product according to the browsing request received by the receiving means. A product information providing server comprising: a transmission unit configured to transmit to a terminal.

  According to the configuration of (1), the product information providing server authenticates a user who has accessed from the user terminal, receives a browsing request for information on the product from the user terminal of the authenticated user, and is requested to browse The attribute information of the user who purchased the product in the past is compared with the attribute information of the authenticated user, and as a result of the comparison, the weight of the attribute information of the user who has purchased the product requested to browse in the past is based on a predetermined condition. Based on the determined weighting and the evaluation value of the product by the user, the recommendation degree for the user of the product is calculated, the calculated recommendation degree, and information on the product according to the received browsing request, Is transmitted to the user terminal.

  (1) Thereby, the product information providing server is based on the comparison result between the attribute information of the authenticated user, that is, the user who requested browsing the information on the product, and the attribute information of the user who purchased the product requested to browse in the past. Therefore, when calculating the recommendation degree, priority is given to the evaluation value of the user who has attribute information highly relevant to the attribute information of the user who has requested browsing of information related to the product. Therefore, the reliability of the recommendation degree of the product to be purchased is improved for the user who has requested browsing of information related to the product.

  (2) The comparison means compares the degree of similarity of the attribute information of the user who has previously purchased the product requested to be browsed with respect to the attribute information of the user authenticated by the authentication means, and the determination means The product information providing server according to (1), wherein the weighting is determined based on the degree of similarity by the comparison unit as a condition of (1).

  According to the configuration of (2), the product information providing server performs weighting based on the degree of similarity of the attribute information of the user who has previously purchased the product requested to be browsed with respect to the attribute information of the user who has requested browsing of information related to the product. Therefore, when calculating the recommendation degree, priority is given to the evaluation value of the user having attribute information having a high degree of similarity to the attribute information of the user who has requested browsing of information related to the product. Therefore, the reliability of the recommendation degree of the product to be purchased is further improved for the user who has requested browsing of information related to the product.

  (3) The comparison unit compares the degree of similarity between the attribute information of the user authenticated by the authentication unit and the attribute information of a plurality of users who have previously purchased the product requested to be browsed, and The means determines, as the predetermined condition, the weighting for each user who has purchased the product in the past based on the degree of similarity by the comparison unit, and the recommendation degree calculation unit purchases the product in the past The product information according to (1), wherein a recommendation degree for the user of the product is calculated based on the weights of all the users whose weights are determined by the determination unit and the evaluation value of the product. Provision server.

  According to the configuration of (3), the product information providing server determines the weight for each user who has purchased the product in the past, and the recommendation degree based on the weight of all the users who have purchased the product in the past and the evaluation value of the product Is calculated. Therefore, the attribute information and evaluation values of all the users who have purchased the product in the past can be reflected in the recommendation level. Therefore, for the user who has requested browsing of information related to the product, the recommendation level of the product to be purchased Reliability is further improved.

  (4) A product information providing system in which a plurality of user terminals and a product information providing server are communicably connected, wherein the product information providing server stores attribute information of a user who operates the user terminal. Corresponding information storage means, product information storage means for storing information on products purchased by the user, products purchased by the user in the past via the plurality of user terminals, and attribute information of the user who purchased the products Past purchase user attribute storage means for storing and authentication means for authenticating a user who has accessed from the user terminal, wherein the user terminal sends a request for browsing information related to the product to the authenticated product Terminal transmission means for transmitting to the information providing server, wherein the product information providing server relates to the product from the user terminal of the authenticated user. Receiving means for receiving an information browsing request; comparing means for comparing attribute information of a user who has previously purchased the browse requested product; and attribute information of a user authenticated by the authenticating means; and the comparing means As a result of the comparison, the determination means for determining the weight of the attribute information of the user who has previously purchased the commodity requested to be browsed based on a predetermined condition, the weight determined by the determination means, and the commodity by the user Based on the evaluation value of the product, a recommendation level calculation unit that calculates a recommendation level for the user of the product, a recommendation level calculated by the recommendation level calculation unit, and a browsing request received by the reception unit Transmission means for transmitting information relating to the product to the user terminal, wherein the user terminal transmits the recommendation degree transmitted by the transmission means, and the browsing request. Terminal receiving means for receiving information relating to the received product, recommendation means received by the receiving means, display means for displaying information relating to the product requested to be browsed, recommendation degree received by the reception, A product information providing system comprising: a display control unit that performs control to display information related to a product requested to be browsed on the display unit.

  (5) A method in which a product information providing server communicably connected to a plurality of user terminals provides product information to the user terminal, and an authentication step of authenticating a user who has accessed from the user terminal; A receiving step of receiving a browsing request for information related to a product from the user terminal of the authenticated user, attribute information of a user who has purchased the product requested for browsing in the past, and attribute information of the user authenticated by the authentication step A determination step for determining weighting of attribute information of a user who has previously purchased the product requested to be browsed based on a predetermined condition as a result of the comparison in the comparison step, and the determination step. Based on the determined weight and the evaluation value of the product by the user, the degree of recommendation for the user of the product A recommendation level calculation step for calculating, a recommendation level calculated by the recommendation level calculation step, and a transmission step for transmitting to the user terminal information related to the product according to the browsing request received by the reception step. .

  According to the present invention, a user's profile similar to the profile of a user requesting information about a product is reflected, and an evaluation performed by a user having a similar user profile is highly evaluated with a high weight. Therefore, the evaluation value of another user (product purchaser) having a profile similar to the user's profile is prioritized, and the reliability of the recommendation level for the user of this product is improved.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[System overall configuration]
FIG. 1 is a block diagram showing the overall configuration of a system 1 according to the present invention. The system 1 includes a terminal device 10 (terminal devices 10a, 10b, and 10c) and a product information providing server 20. The terminal device 10 and the product information providing server 20 are connected via a communication line 30.

  The terminal device 10 is represented by a terminal device such as a personal computer, a mobile phone, a PHS (Personal Handy-phone System: registered trademark), a mobile, a notebook PC, or a PDA (Personal Digital Assistant), and performs wired or wireless communication. Any information can be used as long as the information transmitted from the product information providing server 20 can be referred to via the communication line 30 to be performed. Further, the product information providing server 20 may be configured to include a Web server, a DB server, and an application server as necessary, and may be configured with one server or different servers.

[Hardware Configuration of Product Information Providing Server 20]
FIG. 2 is a diagram illustrating an example of a hardware configuration of the product information providing server 20 according to an example of the preferred embodiment of the present invention. As shown in FIG. 2, a CPU 21 (a plurality of CPUs such as a CPU 22 may be added in a multiprocessor configuration), a communication I / F (I / F: interface) 23, a main memory 24, a display device 25, an I / O A controller 26 and an input device 27 such as a keyboard and a mouse are connected by a bus line BUS to constitute the product information providing server 20.

  The CPU 21 (CPU 22) is a part that controls the product information providing server 20 in an integrated manner. By appropriately reading and executing various programs stored in the hard disk 28a described later, the CPU 21 (CPU 22) cooperates with the hardware described above. Various functions according to the invention are realized.

  The communication I / F 23 is a network adapter when the merchandise information providing server 20 receives various types of input information from the terminal device 10 via the communication line 30 and transmits display contents to the display device 25. is there. The communication I / F 23 may include a modem, a cable modem, and an Ethernet (registered trademark) adapter.

  The display device 25 includes a display device such as a cathode ray tube display device (CRT) or a liquid crystal display device (LCD). A storage device 28 such as a hard disk 28 a and a semiconductor memory 28 b can be connected to the I / O controller 26. The input device 27 receives input by the administrator of the product information providing server 20. The hard disk 28a stores various programs for causing the hardware to function as the product information providing server 20, a program for executing the functions of the present invention, a table to be described later, and the like. The product information providing server 20 can also use an external hard disk (not shown) as an external storage device.

  In the above example, the merchandise information providing server 20 has been mainly described. However, the functions described above can be realized by installing a program in a computer and operating the computer as a server device. Therefore, the function realized by the product information providing server 20 described as an embodiment in the present invention is executed by executing the above-described method by the computer or by introducing the above-described program into the computer. This is also possible.

[Function configuration]
FIG. 3 is a functional block diagram of the terminal device 10 and the product information providing server 20 according to an example of the preferred embodiment of the present invention.

  The terminal device 10 includes a storage unit 110 configured by a storage device, a communication unit 120 configured by a communication I / F, a control unit 130 configured by a CPU (Central Processing Unit), and a display device. A display unit 140 and an input unit 150 including a keyboard, a mouse, and the like are provided.

  The control unit 130 performs overall control of the terminal device 10 and performs predetermined control. In addition, the control unit 130 includes a browsing request unit 131 and a display control unit 132.

  The browsing request unit 131 transmits a browsing request for information regarding the product to the product information providing server 20 via the communication unit 120 in response to an input operation from the input unit 150 by the user.

  The display control unit 132 performs control to display an image on the display unit 140. Specifically, the display control unit 132 performs control to display the information related to the product from the product information providing server 20 received by the communication unit 120 on the display unit 140 in a predetermined manner.

  Next, the functional configuration of the product information providing server 20 will be described. The merchandise information providing server 20 includes a storage unit 210 configured by the storage device 28, a communication unit 220 configured by the communication I / F 23, and a control unit 230 configured by the CPU 21 (CPU 22).

  The storage unit 210 includes a user database 211 and a product information database 212. The user database 211 includes a profile data table (user attribute information storage unit) 213, a purchaser data table (past purchase user attribute storage unit) 214, and a weighting table (predetermined condition) 215.

  FIG. 4 is a diagram illustrating an example of the profile data table 213. The profile data table 213 stores sex, age, and product purchase history in association with the user ID of the user authenticated by the authentication unit 231. Here, the user ID is an identifier for identifying the user. The sex, age, and product purchase history are user profiles. In the purchase history, the product purchased by the user in the past and the genre of the product are stored. For example, for the user ID “AAA”, the purchase history is “Introduction to the outdoors”, and “Book” is stored as the genre of the product.

  FIG. 5 is a diagram illustrating a purchaser data table of a user who has purchased a rucksack ABC in the past as an example of the purchaser data table 214. The purchaser data table 214 is associated with the user ID of the user who is authenticated by the authentication unit 231, the purchase history of products other than the user's gender, age, and rucksack ABC, and the product by the user (rucksack ABC). The evaluation value is stored. Further, in the purchaser data table 214, a blank is provided on the right side of the attribute information for each user ID in order to determine the weight for each attribute information for each user ID. In order to determine the weight for each user ID, a blank is provided below the purchase history as “weight”.

  FIG. 6 is a diagram illustrating an example of the weighting table 215. The weighting table 215 associates, for each attribute information, the result of comparing the degree of similarity of the attribute information of the user who has previously purchased the product with respect to the attribute information of the user who requested browsing, and the weighting value determined by this comparison result. I remember it.

  Returning to FIG. 3, the communication unit 220 receives a browsing request for information about the product transmitted from the terminal device 10. In addition, the communication unit 220 transmits the recommendation level calculated by the recommendation level calculation unit 234 and information related to the product corresponding to the browsing request to the terminal device 10.

  The control unit 230 controls the entire product information providing server 20 and performs predetermined control. The control unit 230 includes an authentication unit 231, a comparison unit 232, a determination unit 233, and a recommendation degree calculation unit 234.

  The authentication unit 231 authenticates a user who has accessed from the terminal device 10. Specifically, the authentication unit 231 determines whether or not the user ID and password transmitted from the terminal device 10 match the user ID and password stored in the storage unit 210. Authenticates the user who operates the terminal device 10.

  The comparison unit 232 compares the attribute information of the user who purchased the product requested to be browsed from the terminal device 10 in the past with the attribute information of the user authenticated by the authentication unit 231. Specifically, the comparison unit 232 reads the attribute information of the user who purchased the product requested to be browsed from the purchaser data table 214, and is authenticated by the user who has requested viewing of information related to the product, that is, the authentication unit 231. The attribute information corresponding to the user is read from the profile data table 213.

  Then, the comparison unit 232 compares the degree of similarity of the attribute information of the user who purchased the product requested to be browsed with respect to the attribute information of the authenticated user. At this time, when there are a plurality of users who have purchased the browse requested product, the degree of similarity of the attribute information of the plurality of users who have purchased the browse requested product with respect to the attribute information of the authenticated user is respectively compared. .

  As a result of the comparison by the comparison unit 232, the determination unit 233 determines the weighting of the attribute information of the user who has previously purchased the product requested to be browsed from the terminal device 10 based on a predetermined condition. Specifically, the determination unit 233 refers to the weighting table 215 as a predetermined condition, and determines weighting based on the degree of similarity by the comparison unit 232. At this time, when there are a plurality of users who have purchased the product requested to be browsed, the determination unit 233 determines weighting for each user who has purchased the product in the past.

  The recommendation level calculation unit 234 calculates the recommendation level of the product to the user based on the weight determined by the determination unit 233 and the evaluation value of the product by the user. In addition, when there are a plurality of users who have purchased the product requested to be browsed, the recommendation degree calculation unit 234 weights all the users who have purchased the product in the past and whose weighting has been determined by the determination unit 233 and the product. Based on the evaluation value, the recommendation level for the user of the product is calculated.

と表すことができる。なお、推薦度算出部２３４による推薦度の算出方法は、これに限られず、他の算出方法を用いて推薦度を算出してもよい。 More specifically, the recommendation level calculation unit 234 calculates, as the recommendation level, a value obtained by dividing the sum of products of the weights of the users and the evaluation values of the products by the sum of the weights of the users. That is, assuming that the recommendation degree is S, the weight of each user who has purchased the product in the past is m, and the evaluation value of the product of each user who has purchased the product in the past is h,

It can be expressed as. Note that the recommendation level calculation method by the recommendation level calculation unit 234 is not limited to this, and the recommendation level may be calculated using another calculation method.

[Process flow]
FIG. 7 is a flowchart showing the flow of processing between the terminal device 10 and the product information providing server 20. Here, in the description of this flowchart, as a specific example, a case will be described in which a user ID “AAA” requests to browse information on a product with “rucksack ABC”. Further, it is assumed that the user ID “AAA” has been authenticated by the authentication unit 231.

  Step S <b> 1: The browsing request unit 131 transmits a browsing request for information about the product to the product information providing server 20 via the communication unit 120 in response to an input operation from the input unit 150 by the user. Specifically, the product information providing server 20 is requested for a URL of information related to “rucksack ABC”.

  Step S <b> 2: The communication unit 220 receives a browsing request for information related to the product transmitted from the terminal device 10. Specifically, the communication unit 220 receives a request for a URL of information related to “rucksack ABC”.

  Step S3: The control unit 230 refers to the purchaser data table 214, and determines whether or not there is a user who has purchased a product requested to be browsed in the past. If there is a user who has purchased the product requested to be browsed in the past (Yes), the process proceeds to step S4. On the other hand, when there is no user who has purchased the product requested to be browsed in the past (No), the process proceeds to step S7. Specifically, the control unit 230 refers to the purchaser data table 214 and determines whether or not there is a user who has purchased “rucksack ABC” in the past.

  Step S4: The comparison unit 232 compares the attribute information of the user who purchased the product requested to be browsed in the past with the attribute information of the user authenticated by the authentication unit 231. Specifically, the comparison unit 232 reads the attribute information of the user ID “AAA” from the profile data table 213, and reads the attribute information of the user who purchased “rucksack ABC” in the purchaser data table 214. Then, the comparison unit 232 compares the degree of similarity of the attribute information of the user who has previously purchased “rucksack ABC” with respect to the attribute information of the user ID “AAA”.

  That is, as shown in FIG. 8A, in the attribute information “gender”, the gender of the user ID “AAA” is “male”. The sexes of the purchaser user IDs “XXX”, “YYY”, and “ZZZ” are “male”, “male”, and “female”, respectively. Therefore, the comparison unit 232 matches the genders of the user IDs “XXX” and “YYY” with the gender of the user ID “AAA”, and the gender of the user ID “ZZZ” does not match the gender of the user ID “AAA”. Judge that.

  Further, in the attribute information “age”, the age of the user ID “AAA” is “35 years old”. The ages of the purchaser user IDs “XXX”, “YYY”, and “ZZZ” are “35 years old”, “53 years old”, and “26 years old”, respectively. Therefore, the comparison unit 232 determines that the age differences between the user ID “AAA” and the user IDs “XXX”, “YYY”, and “ZZZ” are “0”, “18”, and “9”, respectively. .

  In addition, in the attribute information “purchase history”, the purchase history of the user ID “AAA” is “outdoor introduction (book)”. The purchase histories of the purchaser user IDs “XXX”, “YYY”, and “ZZZ” are “Introduction to the outdoors (book)”, “Economic white paper (book)”, and “Introduction to handicrafts (book)”, respectively. . Therefore, the comparison unit 232 confirms that the purchase history of the user IDs “AAA” and “XXX” matches the product and its genre (all match), and purchases with the user IDs “AAA”, “YYY”, and “ZZZ”. The history is determined that the genre of the product matches (genre match).

  Step S5: The determination unit 233 determines, based on a predetermined condition, the weight of the attribute information of the user who has previously purchased the product requested to be browsed from the terminal device 10 as a result of the comparison by the comparison unit 232. Specifically, the determination unit 233 refers to the weighting table 215 as a predetermined condition, and determines weighting for each user who has purchased the rucksack ABC in the past based on the degree of similarity by the comparison unit 232.

  That is, as shown in FIG. 8B, in the attribute information “gender”, the genders of the user IDs “XXX” and “YYY” match the gender of the user ID “AAA” by the comparison unit 232, and the user ID “ZZZ”. Therefore, the determination unit 233 refers to the weighting table 215 and determines the weight values of the user IDs “XXX”, “YYY”, and “ZZZ”. “1”, “1”, and “0” are determined respectively.

  Further, in the attribute information “age”, the comparison unit 232 causes the age differences between the user ID “AAA” and the user IDs “XXX”, “YYY”, “ZZZ” to be “0”, “18”, “9”, respectively. Therefore, the determination unit 233 refers to the weighting table 215 and sets the weighting values of the user IDs “XXX”, “YYY”, and “ZZZ” to “3”, “1”, “2”, respectively. Is determined.

  In addition, in the attribute information “purchase history”, the comparison history of the purchase IDs of the user IDs “AAA” and “XXX” by the comparison unit 232 indicates that the product and its genre match (all match) and the user IDs “AAA” and “YYY”. ”And“ ZZZ ”, it is determined that the genres of the products match (genre match). Therefore, the determination unit 233 refers to the weighting table 215 and determines the user IDs“ XXX ”,“ YYY ”, The weight values of “ZZZ” are determined as “5”, “2”, and “2”, respectively.

  As described above, after determining the weight for each attribute information, the determination unit 233 calculates the sum of the weight for each attribute information for each user who has purchased the rucksack ABC in the past, and purchased this value for the rucksack ABC. It is determined as a weight for each user. That is, the determination unit 233 determines the weights of the user IDs “XXX”, “YYY”, and “ZZZ” as “(1 + 3 + 5 =) 9”, “(1 + 1 + 2 =) 4”, and “(0 + 2 + 2 =) 4”, respectively. To do.

  Step S6: The recommendation level calculation unit 234 calculates the recommendation level of the product to the user based on the weight determined by the determination unit 233 and the evaluation value of the product by the user. Specifically, the recommendation degree calculation unit 234 refers to the weighting determined by the determination unit 233 in step S5 and the evaluation value of the product by each user who purchased the rucksack ABC with reference to the purchaser data table 214. Substitute in (1). That is, the recommendation degree S = (9 × 5) + (4 × 3) + (4 × 3) / (9 + 4 + 4) ≈4.058≈4. In this way, the recommendation level calculation unit 234 calculates the recommendation level.

  Step S7: The communication unit 220 transmits the recommendation level calculated by the recommendation level calculation unit 234 and information related to the product in response to the browsing request received in Step S1 to the terminal device 10 via the communication line 30. Specifically, the control unit 230 reads information related to the product according to the browsing request received in step S1 from the product information database 212, and the recommendation level calculation unit 234 calculates the information related to the read product and the recommendation degree calculation unit 234 in step S6. The recommendation degree is transmitted to the terminal device 10 by the communication unit 220. Note that when there is no user who has purchased the product requested to be browsed in step S3 in the past, the recommendation degree is not calculated in steps S4 to S6. Therefore, the control unit 230 sends only information about the product to the communication unit 220. It transmits to the terminal device 10.

  Step S8: The communication unit 120 receives the recommendation degree transmitted from the product information providing server 20 in step S7 and information related to the product requested to be browsed.

  Step S9: The display control unit 132 performs control to display the recommendation level received in step 8 and information related to the product requested to be browsed on the display unit 140, and ends the process of this flowchart. Here, FIG. 9 is a diagram illustrating an example of the recommendation degree and information related to the product displayed on the display unit 140. As shown in FIG. 9, the product introduction page 40 displays a product name 41, a product price 42, and a product image 43 as information about a rucksack ABC (product). In addition, login information 44 indicating the user ID “AAA” is displayed. A star 45 is displayed as the recommendation level. Here, the star 45 displays one star for a recommendation level of 1. Therefore, since the recommendation degree determined in step S6 is 4, four stars are displayed. Thus, the user can visually recognize the recommendation degree of the rucksack ABC for the user together with the information regarding the rucksack ABC.

  In this way, the degree of recommendation transmitted to the terminal device 10 of the user who has requested browsing of information related to the product is the degree of similarity of the attribute information of all users who have purchased the rucksack ABC in the past with respect to the attribute information of this user and Evaluation values of products of all users who have purchased rucksack ABC in the past are reflected. Therefore, the user who browsed the information related to the product and the recommendation level can consider purchasing the product in consideration of the highly reliable recommendation level.

  Further, the product information providing server 20 can present the recommendation level of the product according to the attribute information of the user who has requested to browse the information related to the product for the side that distributes the information related to the product. Therefore, since the user who requested browsing the information about the product can be more interested in the product, it is possible to improve the profit by selling the product, advertising revenue, or the like.

  As mentioned above, although embodiment of this invention was described, this invention is not restricted to embodiment mentioned above. The effects described in the embodiments of the present invention are only the most preferable effects resulting from the present invention, and the effects of the present invention are limited to those described in the embodiments of the present invention. is not.

It is a block diagram showing the whole system 1 composition concerning an example of an embodiment of the present invention. It is a figure which shows an example of the hardware constitutions of the merchandise information provision server 20 which concerns on an example of embodiment of this invention. It is a functional block diagram of the terminal device 10 and the product information providing server 20 according to an example of the embodiment of the present invention. It is a figure which shows an example of the profile data table 213. It is a figure which shows an example of the purchaser data table. It is a figure which shows an example of the weighting table. It is a flowchart which shows the flow of a process with the terminal device 10 and the merchandise information provision server 20. It is a figure which shows a mode that weighting is determined by the determination part 233. FIG. It is a figure which shows an example of the recommendation degree displayed on the display part 140, and the information regarding goods.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 System 10 Terminal apparatus 20 Merchandise information provision server 220 Communication part 231 Authentication part 232 Comparison part 233 Determination part 234 Recommendation degree calculation part

Claims (5)

A product information providing server that is communicably connected to a plurality of user terminals,
User attribute information storage means for storing attribute information of a user operating the user terminal;
Product information storage means for storing information related to products purchased by the user;
Past purchase user attribute storage means for storing the product purchased by the user in the past via the plurality of user terminals and the attribute information of the user who purchased the product in association with each other;
Authentication means for authenticating a user who has accessed from the user terminal;
Receiving means for receiving a browsing request for information on the product from the user terminal of the authenticated user;
Comparison means for comparing the attribute information of the user who has purchased the product requested to be browsed in the past with the attribute information of the user authenticated by the authentication means;
As a result of the comparison by the comparison means, a determination means for determining weighting of attribute information of a user who has purchased the product requested to be browsed in the past based on a predetermined condition;
Recommendation degree calculating means for calculating a recommendation degree for the user of the product based on the weight determined by the determining means and an evaluation value of the product by the user;
Transmitting means for transmitting to the user terminal the recommendation degree calculated by the recommendation degree calculating means and information relating to the product according to the browsing request received by the receiving means;
A product information providing server comprising: The comparison means compares the degree of similarity of the attribute information of the user who has previously purchased the product requested to be browsed with respect to the attribute information of the user authenticated by the authentication means,
The product information providing server according to claim 1, wherein the determining unit determines the weighting based on the degree of similarity by the comparing unit as the predetermined condition. The comparison unit compares the degree of similarity between the attribute information of the user authenticated by the authentication unit and the attribute information of a plurality of users who have purchased the product requested to be browsed in the past,
The determining means determines the weighting for each user who has purchased the product in the past as the predetermined condition based on the degree of similarity by the comparing means,
The recommendation level calculating unit calculates the recommendation level of the product for the user based on the weights of all users who have purchased the product in the past and whose weighting has been determined by the determination unit and the evaluation value of the product. The product information providing server according to claim 1. A product information providing system in which a plurality of user terminals and a product information providing server are communicably connected,
The product information providing server includes:
User attribute information storage means for storing attribute information of a user operating the user terminal;
Product information storage means for storing information related to products purchased by the user;
Past purchase user attribute storage means for storing the product purchased by the user in the past via the plurality of user terminals and the attribute information of the user who purchased the product in association with each other;
Authentication means for authenticating a user who has accessed from the user terminal,
The user terminal is
Terminal transmission means for transmitting a request for browsing information related to the product to the authenticated product information providing server,
The product information providing server includes:
Receiving means for receiving a browsing request for information on the product from the user terminal of the authenticated user;
Comparison means for comparing the attribute information of the user who has purchased the product requested to be browsed in the past with the attribute information of the user authenticated by the authentication means;
As a result of the comparison by the comparison means, a determination means for determining weighting of attribute information of a user who has purchased the product requested to be browsed in the past based on a predetermined condition;
Recommendation degree calculating means for calculating a recommendation degree for the user of the product based on the weight determined by the determining means and an evaluation value of the product by the user;
A transmission unit that transmits the recommendation level calculated by the recommendation level calculation unit and information about the product according to the browsing request received by the reception unit to the user terminal;
The user terminal is
A terminal receiving means for receiving the recommendation degree transmitted by the transmitting means and information relating to the product requested to be browsed;
Display means for displaying the recommendation degree received by the receiving means and information on the product requested to be browsed;
A product information providing system comprising: a display control unit that performs control to display the recommendation degree received by the reception and the information about the product requested to be browsed on the display unit. A product information providing server that is communicably connected to a plurality of user terminals provides product information to the user terminal,
An authentication step of authenticating a user who has accessed from the user terminal;
A receiving step of receiving a browsing request for information about the product from the user terminal of the authenticated user;
A comparison step of comparing the attribute information of the user who purchased the product requested to be browsed in the past with the attribute information of the user authenticated by the authentication step;
As a result of the comparison in the comparison step, a determination step for determining weighting of attribute information of a user who has previously purchased the commodity requested to be browsed based on a predetermined condition;
A recommendation degree calculating step for calculating a recommendation degree for the user of the product based on the weight determined in the determination step and the evaluation value of the product by the user;
A method comprising: a transmission step of transmitting, to the user terminal, a recommendation level calculated in the recommendation level calculation step and information relating to a product in response to the browsing request received in the reception step.

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