JP2011048738A - Recommend device, recommend method, and recommend program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To widely recommend merchandise which is likely to be continuously purchased by a customer. <P>SOLUTION: In a recommend server 100 connected through a network 1 to a PC 200, a recommendation rank information storage part 140 stores the merchandise ID of second merchandise purchased continuously with first merchandise and recommendation rank information showing a sequence corresponding to the number of purchased second merchandises purchased continuously with the first merchandise in association for each merchandise ID to identify the first merchandise, and a transmission/reception part 101 receives a recommendation request including merchandise ID transmitted from the PC 200, and a recommend information generation part 104 obtains the merchandise ID of the second merchandise corresponding to the received merchandise ID corresponding to recommend conditions from a recommendation rank information storage part 140, and obtains merchandise relevant information corresponding to the obtained merchandise ID from the merchandise information storage part 150, and generates the recommend information, and the transmission/reception part 101 transmits the recommend information to the PC 200. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a recommendation device, a recommendation method, and a recommendation program.

  With the development of networks such as the Internet in recent years, electronic commerce via networks has been rapidly increasing. In such electronic commerce, a device for improving the purchase rate of a product is proposed by recommending a product related to the product selected by the customer and presenting many selection targets to the customer.

  When a product recommends a product (hereinafter referred to as a recommendation technology), the customer's product purchase history information is used. If the same customer has purchased product A and product B, another customer selects product A. Various methods have been proposed, such as recommending a product B. However, such recommendation technology has a problem in that it cannot make an effective recommendation in accordance with the purchase timing of the customer because the order in which the customer purchases the products is not taken into consideration.

  As a technique for solving such a problem, a product recommendation device (see Patent Publication 1) is disclosed. In such a technique, by analyzing the adjacency matrix generated from the product purchase history information, the time-series order relationship between the products related to the purchase is obtained, and the cause is that the customer has purchased a product from the order relationship. Then, the degree of activity, which is an index indicating how much other products are to be purchased, is obtained. Further, the recommended product is selected based on the recommended information database updated by calculating the recommendation level from the obtained activity level and purchase frequency.

JP 2002-279279 A

  However, since the technology described in Patent Document 1 is intended for recommending products that are more likely to purchase more products after purchasing products using the degree of activity, a certain product was purchased. There was a problem that it was not possible to recommend a wide range of products that could be purchased before and after.

  In addition, this technology recommends products that are purchased continuously after purchasing a certain product, and does not consider products purchased before a customer purchases a certain product. There was a problem that a series of products purchased consecutively could not be recommended.

  The present invention has been made in view of the above, and an object of the present invention is to provide a recommendation device, a recommendation method, and a recommendation program that can widely recommend products that a customer may purchase continuously. .

  In order to solve the above-described problems and achieve the object, the present invention provides a recommendation device connected to an information processing apparatus via a network for each product identification information for identifying a first product. The recommendation rank which memorize | stores the merchandise identification information of the 2nd goods continuously purchased, and the recommendation rank information which shows the order | rank according to the purchase number of the said 2nd goods continuously purchased to the said 1st goods in correlation Information storage means, definition information storage means for storing a recommendation condition indicating a condition for selecting a product using the recommended rank information, the product identification information, and product related information that is information about the product are stored in association with each other. Product information storage means, receiving means for receiving a product recommendation request including the product identification information transmitted from the information processing apparatus, and the record stored in the definition information storage means. The product identification information of the second product corresponding to the product identification information received by the receiving unit according to the received condition is acquired from the recommended rank information storage unit, and the product related to the acquired product identification information Obtaining information from the product information storage unit, recommend information generating means for generating recommendation information, which is information used for displaying the product in the information processing device, and the recommendation information generated by the recommendation generating unit Transmitting means for transmitting to the information processing apparatus.

  In addition, the present invention provides, for each product identification information for identifying the first product, connected to the information processing apparatus via the network, the product identification information of the second product to be purchased continuously with the first product, A recommended rank information storage unit that stores a recommendation rank information indicating a rank according to the number of purchases of the second product continuously purchased for the first product, and selects a product using the recommended rank information. And a product information storage unit that stores a definition information storage unit that stores a recommendation condition indicating a condition to be associated, and a product information storage unit that stores the product identification information and product related information that is information about the product in association with each other. In the recommendation method, the reception unit receives a product recommendation request including the product identification information transmitted from the information processing apparatus, and a recommendation information generation unit includes: The product identification information of the second product corresponding to the product identification information received by the receiving step according to the recommendation condition stored in the definition information storage unit is acquired from the recommended rank information storage unit and acquired. A recommendation information generation step of acquiring product related information corresponding to the product identification information from the product information storage means, and generating recommendation information which is information used for displaying the product on the information processing apparatus; And a transmission step of transmitting the recommendation information generated by the recommendation generation step to the information processing apparatus.

  In addition, the present invention provides, for each product identification information for identifying the first product, connected to the information processing apparatus via the network, the product identification information of the second product to be purchased continuously with the first product, Recommended rank information storage means for storing the recommended rank information indicating the rank according to the number of purchases of the second product that is continuously purchased for the first product, and selecting the product using the recommended rank information A computer comprising: definition information storage means for storing a recommendation condition indicating a condition to perform; and product information storage means for storing the product identification information and product related information that is information about the product in association with each other. A reception step of receiving a product recommendation request including the product identification information transmitted from the processing device; and the reception step according to the recommendation condition stored in the definition information storage means. The product identification information of the second product corresponding to the product identification information received by the group is acquired from the recommended rank information storage unit, and the product related information corresponding to the acquired product identification information is acquired from the product information storage unit. A recommendation information generation step of generating recommendation information, which is information to be acquired and used to display a product on the information processing device, and a transmission step of transmitting the recommendation information generated by the recommendation generation step to the information processing device Are executed.

  According to the present invention, for each product identification information for identifying the first product, the product identification information of the second product to be purchased continuously for the first product, and the second product to be purchased for the first product. The recommended rank information indicating the rank according to the number of purchases is stored in association with each other, the recommended condition indicating the condition for selecting the product using the recommended rank information is stored, and the received product identification according to the recommended condition is stored. By acquiring the product identification information of the second product corresponding to the information, the product can be recommended in consideration of the order in which the customer purchases the product. There is an effect that it can be recommended widely.

It is a block diagram which shows the structure of the recommendation system 10 concerning a present Example. It is explanatory drawing which shows an example of a data structure of the log | history information storage part. It is explanatory drawing which shows an example of a data structure of the time series history information storage part. It is explanatory drawing which shows an example of a data structure of the recommendation rank information storage part. 4 is an explanatory diagram illustrating an example of a data configuration of a definition information storage unit 130. FIG. 4 is an explanatory diagram illustrating an example of a data configuration of a product information storage unit 150. FIG. It is a flowchart which shows the recommendation process sequence which the recommendation system 10 performs.

  DESCRIPTION OF EMBODIMENTS Embodiments of a recommendation device, a recommendation method, and a recommendation program according to the present invention will be described below in detail with reference to the accompanying drawings. In addition, the Example shown below is an example of embodiment of this invention, and this invention is not limited to these Examples.

  FIG. 1 is a block diagram illustrating a configuration of a recommendation system 10 according to the present embodiment. The recommendation system 10 connects a recommendation server 100, a personal computer (hereinafter referred to as a PC) 200, and an EC (electronic commerce) server 300 via a network 1. The recommendation server 100, the PC 200, and the EC server 300 can communicate with each other using a communication protocol such as HTTP (HyperText Transfer Protocol). In FIG. 1, only one PC 200 is shown for simplicity of explanation, but actually, a plurality of PCs 200 are connected to the network 1, and the recommendation server 100 and the EC server 300 are respectively connected to the plurality of PCs 200. Communication is possible.

  The recommendation server 100 is a Web server that provides recommendation information indicating recommended products according to target products. The EC server 300 is a Web server that provides an electronic commerce service. The PC 200 is an information processing apparatus used by a customer who receives a commercial transaction service, and is mounted with a Web browser (hereinafter referred to as a browser).

  First, the flow of processing in the recommendation system 10 will be briefly described. The browser of the PC 200 transmits a request corresponding to the instruction received from the display screen to the EC server 300 or the recommendation server 100. The EC server 300 or the recommendation server 100 receives a request via the network 1, performs processing according to the request using a Web application, and transmits the processing result to the PC 200. The browser of the PC 200 receives the processing result and displays it on the display screen. Details of the processing will be described later.

  Next, functions and configurations of the recommendation server 100, the PC 200, and the EC server 300 that constitute the recommendation system 10 will be described. The recommendation server 100 includes a transmission / reception unit 101, a time series history information generation unit 102, a recommendation rank information generation unit 103, a recommendation information generation unit 104, a history information storage unit 110, a time series history information storage unit 120, A definition information storage unit 130, a recommended rank information storage unit 140, and a product information storage unit 150 are provided.

  The history information storage unit 110 stores purchase history information (hereinafter referred to as history information) of merchandise purchased at the commercial transaction site of the EC server 300. FIG. 2 is an explanatory diagram illustrating an example of a data configuration of the history information storage unit 110. As shown in FIG. 2, the history information storage unit 110 includes customer identification information (hereinafter referred to as customer ID), purchase date, purchase time, order number, and product identification information (for each customer order). Hereinafter, the product ID), unit price, and quantity are stored in association with each other. The history information storage unit 110 may store information necessary for other transactions in association with each other. In addition, you may memorize | store the product ID of several goods purchased by one order in goods ID of log | history information. In that case, the unit price and quantity are stored in association with each product ID.

  Further, the history information may include two data, order data and order product data. The order data stores customer ID, purchase date, purchase time, and order number, which are information related to the order, and the order product data stores the order number, product ID, unit price, and quantity. The order data and the order product data are associated with each other by an order number, and one or a plurality of order product data is stored corresponding to one order data.

  The products handled in this embodiment are not only general articles such as daily necessities, but also physical data such as text, documents, Web pages, images, videos, music and audio, financial products, insurance products, etc. Various services such as merchandise without an entity, streaming video viewing service, information providing service, and home delivery service are also included. Also, it doesn't matter whether the product is paid or free.

  The customer ID is information for identifying individual customers who visit the commercial transaction site. The customer ID is assigned by the commerce site for each PC used by the customer when the PC 200 accesses the commerce site, and is normally stored in the cookie of the PC 200. When the information terminal device used by the customer is not a PC but a mobile phone, the customer ID is a mobile terminal identification number that uniquely identifies each mobile phone. Further, when a customer logs in at a commercial transaction site, the membership number used at the time of login may be used as the customer ID, and any other information may be used as long as the information can uniquely identify the customer. The product ID is information for identifying individual products in the commercial transaction site.

  The time-series history information storage unit 120 stores time-series history information obtained by adding information indicating the order in which the customer purchased the products to the history information. FIG. 3 is an explanatory diagram illustrating an example of a data configuration of the time-series history information storage unit 120. The time-series history information storage unit 120 stores the next order number and the previous order number in association with the history information shown in FIG. By adopting such a data structure, it is possible to easily search for the order in which the same customer purchased the products. When order data and order product data are stored as history information, the next order number and the previous order number are associated with order data, order product data, or both order data and order product data. Remember.

  For each product (first product), the recommended rank information storage unit 140 sequentially purchases the first product in association with each product ID of the product (second product) purchased continuously with the first product. The recommended rank information indicating the rank according to the number of purchases of the second product is stored. FIG. 4 is an explanatory diagram illustrating an example of a data configuration of the recommended rank information storage unit 140. The recommended rank information storage unit 140 stores, for each product, the product ID, the next rank, the previous rank, and the in-period rank of the product that has been purchased continuously before and after purchasing the product in association with each other. Yes. The next rank, the previous rank, and the in-period rank are examples of recommended rank information. Here, the next rank indicates a rank according to the number of purchases of second products that are continuously purchased after purchasing the first product. The previous rank indicates a rank according to the number of purchases of second products that have been purchased continuously before purchasing the first product. The in-period rank is a second period of time that has been purchased within a predetermined period, that is, between the time when the first product is purchased and the period stored in the definition information storage unit 130 before and after purchasing the first product. Shows the ranking according to the number of items purchased. For example, the recommendation rank information storage unit 140 sets the next rank for the product ID “G11” of the products that are continuously purchased before and after the purchase of the product A as information on the product ID “G01” (product A). “1”, “6” as the previous rank, and “1” as the rank within the period are stored.

  The definition information storage unit 130 stores setting values used when updating the recommended rank information and conditions for selecting products as recommended products (hereinafter referred to as recommendation conditions). FIG. 5 is an explanatory diagram illustrating an example of a data configuration of the definition information storage unit 130. The definition information storage unit 130 stores a counting frequency, a period, a recommendation condition, and the like.

  Here, the aggregation frequency indicates a frequency at which the recommendation rank information is calculated from the time series history information stored in the time series history information storage unit 120 and the recommendation rank information storage unit 140 is updated. The period is used to select a ranking target from the time-series history information stored in the time-series history information storage unit 120 when the recommended rank information generation unit 103 ranks products. It is a set value and indicates a period from the time when a certain product is purchased to the time when the target product is purchased. For example, as shown in FIG. 5, when “24 hours” is set for the period, time-series history information on the purchase of goods for 24 hours before and after the purchase of a certain product is the target information for ranking.

  The recommendation condition indicates a condition for the recommendation information generating unit 104 to select a product as a recommended product using the recommended rank information stored in the recommended rank information storage unit 140. For example, as shown in FIG. 5, when “next rank, previous rank” is set in the recommendation condition, a product whose rank is set in the next rank or the previous rank in the recommended rank information storage unit 140 is recommended. And Further, when “next rank, 1 to 20” is set in the recommendation condition, a product in which the first rank to the 20th rank is set as the rank in the next rank in the recommended rank information storage unit 140 is set as the recommended product.

  The merchandise information storage unit 150 stores information related to merchandise that can be purchased or referred to on the commercial transaction site. FIG. 6 is an explanatory diagram illustrating an example of a data configuration of the product information storage unit 150. As shown in FIG. 6, the product information storage unit 150 stores a product ID, a price, a product name, a manufacturer name, and other sizes, colors, weights, release dates, image data, and the like in association with each other. . Note that the information necessary for displaying the recommended product such as the price on the PC 200 constitutes product-related information described in the claims.

  The transmission / reception unit 101 transmits / receives data to / from the PC 200 and the EC server 300 connected via the communication network 1. More specifically, the transmission / reception unit 101 receives a recommendation request including a product ID and a customer ID transmitted from the PC 200. Here, the recommendation request is a request (product recommendation request) for transmitting information related to a recommended product (hereinafter referred to as recommendation information) according to the product designated by the customer on the PC 200 to the PC 200.

  The transmission / reception unit 101 transmits the recommendation information to the PC 200. The transmission / reception unit 101 also receives history information transmitted from the EC server 300 via the PC 200 and stores the received history information in the history information storage unit 110.

  The time series history information generation unit 102 generates time series history information from the history information stored in the history information storage unit 110 and stores the time series history information in the time series history information storage unit 120. More specifically, the time-series history information generation unit 102 obtains the order in which the same customer purchased the product from the customer ID, purchase date, and purchase time included in the history information, and according to the obtained order, Time series history information obtained by adding the next order number and the previous order number to the history information is generated and stored in the time series history information storage unit 120.

  The recommendation rank information generation unit 103 continuously uses the time series history information stored in the time series history information storage unit 120 for each product according to the counting frequency stored in the definition information storage unit 130. The recommended rank information of the product to be purchased, that is, the next rank, the previous rank, and the in-period rank are calculated, and the calculated recommended rank information is stored in the recommended rank information storage unit 140.

  The process of generating recommended rank information will be described more specifically. The recommended rank information generation unit 103, for example, purchases a product A (product ID: G01) from the time-series history information stored in the time-series history information storage unit 120, for each product ID of a product that is continuously purchased. Aggregate the number of purchases. The ranks are assigned to the product IDs in descending order of the number of purchases, and the given ranks are stored in the next rank associated with the product IDs of the products A in the recommended rank information storage unit 140. Similarly, in the previous rank, the number of purchases for each product ID of the products purchased continuously before purchasing the product A is totaled. The ranks are assigned to the product IDs in descending order of the number of purchases, and the assigned ranks are stored in the previous rank associated with the product IDs of the products A in the recommended rank information storage unit 140. When the number of purchases is 0, 0 or-is stored in the rank.

  In addition, when a plurality of product IDs are stored in the product ID of the time-series history information to be noted and a plurality of product IDs are also stored in the product ID of the time-series history information corresponding to the next order number, For each of a plurality of products stored in the product ID of the series history information, before and after purchasing the product of interest, each of the plurality of product IDs stored in the product ID of the time series history information corresponding to the next order number The number of purchases is totaled with the product ID of the products purchased continuously. For example, when “G01, G02” is stored in the product ID of the time-series history information to be noticed and “G03, G04” is stored in the product ID of the time-series history information corresponding to the next order number, the product ID The product IDs of products that have been purchased continuously after purchasing the product of “G01” are “G03, G04”, and 1 is added to the number of purchases of “G03” for “G01”, and “G04” for “G01” "1" is also added to the number of purchases of "". The same processing is performed for “G02”.

  If a significant value is set for the period of the definition information storage unit 130, the recommended rank information generation unit 103 uses the time series history information stored in the time series history information storage unit 120 to pay attention. The total number of products purchased between before and after purchasing the product to be purchased and from the time of purchasing the product of interest to the period stored in the definition information storage unit 130 is totalized. The ranking is assigned based on the total number of purchases, and the given ranking is stored in the rank within the period of the recommended rank information storage unit 140. For example, when “24 hours” is set for the period, the number of purchases is totaled only for time-series history information related to products continuously purchased within 24 hours from the point of purchase of the product of interest. In this case, “rank in period”, “rank in period: 1 to 30”, and the like are set in the recommendation condition of the definition information storage unit 130.

  Further, when the number of purchases in the rank within the period is totaled, if a plurality of product IDs are stored in the product ID of the time-series history information to be noticed, the purchase number of the product IDs purchased at the same time is set to 1. Add and aggregate. For example, when “G01, G02, G03” is stored in the product ID of the time series history information, if “G01” is the product ID of interest, “G02” and “G03” for “G01” Add 1 to the number of purchases and total. “G02” and “G03” are also counted in the same manner as in the case of “G01”.

  The recommendation information generation unit 104 acquires the product ID of the product corresponding to the product ID included in the recommendation request received by the transmission / reception unit 101 from the recommendation rank information storage unit 140 according to the recommendation condition stored in the definition information storage unit 130. To do. The recommendation information generation unit 104 acquires product related information corresponding to the product ID of the acquired product from the product information storage unit 150, and generates recommendation information.

  Next, the PC 200 will be described. The PC 200 displays the Web page of the commercial transaction site by accessing the commercial transaction site of the EC server 300 via the network 1 from the browser. In addition, the PC 200 transmits a recommendation request including the product ID of the product instructed on the Web page of the commercial transaction site to the recommendation server 100. The PC 200 configures the display data of the recommendation display area using the recommendation information transmitted from the recommendation server 100, and displays the information related to the recommended product in the recommendation display area of the display screen.

  The information processing apparatus used by the customer is not limited to a PC, and may be any electronic device that includes a mobile phone, a PDA (Personal Digital Assistant), a game machine, or other browser and can access a commercial transaction site via the network 1. Any thing is acceptable.

  Next, the EC server 300 will be described. The EC server 300 transmits a Web page corresponding to the request to the PC 200 that has accessed the commercial transaction site. The EC server 300 generates history information related to a commercial transaction when a transaction with a customer is established, and transmits a script including a request for transmitting history information to the recommendation server 100 together with the generated history information to the PC 200. The PC 200 executes the received script and transmits history information to the recommendation server 100. When the information processing apparatus is a mobile phone instead of a PC, the EC server 300 generates and accumulates history information every time a transaction with a customer is established, and recommends history information for each transaction or every fixed period. Send to server 100.

  Next, the recommendation process in the recommendation system 10 composed of the recommendation server 100, the PC 200, and the EC server 300 configured as described above will be described. FIG. 7 is a flowchart showing a recommendation processing procedure performed by the recommendation system 10. When the PC 200 accesses the commercial transaction site of the EC server 300, the customer ID used in the commercial transaction site is stored in the cookie of the PC 200.

  First, the PC 200 designates the URL (Uniform Resource Locator) of the EC server 300 and transmits a web page request (step S701). The EC server 300 receives the request from the PC 200 and transmits a Web page corresponding to the request to the PC 200 (step S702).

  The PC 200 receives the web page and displays the web page of the commercial transaction site with the browser (step S703). More specifically, the PC 200 receives an HTML (HyperText Markup Language) file and material data such as image data, video data, and audio data transmitted from the EC server 300 as a Web page of a commercial transaction site. The browser of the PC 200 displays the Web page on the display screen by reading the HTML file.

  The PC 200 accepts the product ID by instructing the product on the Web page (step S704). Next, the PC 200 acquires a customer ID from the cookie (step S705). The PC 200 transmits a recommendation request including the product ID and the customer ID to the recommendation server 100 (step S706). More specifically, a request including a product ID and a customer ID is transmitted to the recommendation server 100 by executing a script such as JavaScript (registered trademark) described in the HTML file.

  The transmission / reception unit 101 of the recommendation server 100 receives the recommendation request including the product ID and the customer ID transmitted from the PC 200 (step S707). The recommendation information generation unit 104 acquires a recommendation condition from the definition information storage unit 130 (step S708). For example, in the case shown in FIG. 4, “next rank, previous rank” is acquired as a recommendation condition.

  The recommendation information generation unit 104 acquires the product ID of the product corresponding to the received product ID from the recommended rank information storage unit 140 according to the recommendation condition (step S709). For example, when the received product ID is “G01” and the recommendation condition is “next rank, previous rank”, among the product IDs corresponding to the product ID “G01” stored in the recommended rank information storage unit 140, The product ID whose rank is set in the next rank and the previous rank is acquired.

  The recommendation information generation unit 104 uses the history information stored in the history information storage unit 110 to delete the product ID that the customer has already purchased from the acquired product ID (step S710). The recommendation information generation unit 104 acquires product related information corresponding to the product ID from the product information storage unit 150, and generates recommendation information (step S711). The transmission / reception unit 101 transmits the recommendation information to the PC 200 (step S712).

  The PC 200 receives the recommendation information from the recommendation server 100 (step S713). The PC 200 configures the display data of the recommendation display area from the recommendation information, and displays information related to the recommended product in the recommendation display area (step S714). More specifically, the received recommendation information is processed according to the script described in the HTML file, and the result is displayed on the display screen by the browser.

  In this way, when a customer purchases a product, it recommends a product with a high probability that the customer will purchase by presenting products that other customers have continuously purchased as a series of products related to the product. The purchase rate can be improved. In addition, by recommending products in consideration of the order of purchase by the customer, it is possible to present products that match the purchase timing of the customer, so that the purchase rate can be improved.

  As another example, “next rank” or “previous rank” may be set as a recommendation condition in the definition information storage unit 130. When “next rank” is set as the recommendation condition, the recommendation information generation unit 104 acquires a product ID whose rank is set in the next rank. When “previous rank” is set as the recommendation condition, the recommendation information generation unit 104 acquires a product ID whose rank is set in the previous rank.

  As another example, when recommended rank information and rank are set in the recommendation condition, among recommended product IDs whose rank is set in the recommended rank information stored in the recommended rank information storage unit 140 A product ID having the same rank as the rank stored in the recommendation condition is selected as the rank information. For example, when “next rank: 1 to 20, previous rank: 1 to 10” is set, the recommendation information generation unit 104 sets the product ID of the next rank from 1st to 20th and the previous rank from 1st to 10th. The product ID of the place is selected. Thereby, the number of recommended products can be limited. The order set here does not need to be set from the first place, but may be set such as “30 to 40” or “the lowest order −20 to the lowest place”.

  As another example, when “next rank, next rank” is set in the recommendation condition, the recommendation information generation unit 104 receives the product ID whose rank is set in the next rank and the transmission / reception unit 101. Of the product IDs of the products corresponding to the product IDs, the product IDs whose ranks are set in the next rank are acquired, and the product IDs stored in the recommended rank information storage unit 140 corresponding to the acquired product IDs. Among them, the product ID whose rank is set in the next rank is added and acquired.

  For example, when the rank of the next rank is set in the product ID of the product B with respect to the product ID of the product A and the rank of the next rank is set in the product ID of the product C with respect to the product ID of the product B, The recommendation information generation unit 104 acquires the ID of the product B and the ID of the product C as recommended products for the product A.

  Similarly, when “recent rank, previous rank” is set as the recommendation condition, the recommendation information generation unit 104 also sets the product ID whose rank is set in the previous rank and the product ID received by the transmission / reception unit 101. Among the product IDs of the corresponding products, a product ID whose rank is set in the previous rank is acquired, and among the product IDs stored in the recommended rank information storage unit 140 corresponding to each acquired product ID, Acquired by adding the product ID whose rank is set to the previous rank.

  For example, when the ranking of the previous rank is set for the product ID of the product D with respect to the product ID of the product A and the ranking of the previous rank is set for the product ID of the product E with respect to the product ID of the product D, The recommendation information generation unit 104 acquires the ID of the product D and the ID of the product E as recommended products for the product A.

  In this way, the recommended product can be presented even if the accumulation of history information is small by setting the product in which the rank is set in the rank after the next time and the rank before the previous time, so even if the product is sold, Even when there are no products or the number of rare products sold is small, many products can be recommended, and the purchase rate can be improved.

  As another example, when “in-period rank” is set in the recommendation condition, the recommendation information generating unit 104 acquires a product ID whose rank is set in the in-period rank. Also, in the case of setting the recommended rank information and rank, for example, “in-period rank: 1 to 20” as in the case of the next rank or the previous rank described above, the same processing as the next rank or the previous rank described above is performed. Is done.

  Furthermore, the above-described recommendation conditions may be set by freely combining a plurality of conditions.

  In this way, the content of the recommendation information can be easily changed according to the recommendation condition, and the recommendation condition can be set in various combinations, so the effect on the improvement of the purchase rate can be measured with various recommendation information. And more efficient recommendation conditions can be set.

  Next, the hardware configuration of the recommendation server 100 according to the present embodiment will be described. The recommendation server 100 includes a control device such as a CPU (Central Processing Unit), a storage device such as a ROM (Read Only Memory) and a RAM (Random Access Memory), an HDD (Hard Disk Drive), and a CD (Compact Disk) drive device. External storage device such as a display, an input device such as a keyboard and a mouse, a communication interface for communicating with other devices, and a bus for connecting them, and a hardware using a normal computer Hardware configuration.

  In the present embodiment, the recommendation server 100 including the above-described units operates as a recommendation device. Further, the recommendation server 100 described above executes the recommendation method.

  Further, the above-described embodiment is realized by operating various devices by the CPU in the recommendation server 100 reading and executing the recommendation program from the ROM. The recommendation program executed by the recommendation server 100 has a module configuration including the above-described units (transmission / reception unit, time-series history information generation unit, recommendation rank information generation unit, recommendation information generation unit), and as actual hardware The CPU reads the recommendation program from the ROM and executes it, so that the above-described units are loaded onto the main storage device. The transmission / reception unit 101, the time-series history information generation unit 102, the recommended rank information generation unit 103, and the recommendation information generation unit 104 Are generated on the main memory.

  The history information storage unit 110, the time-series history information storage unit 120, the definition information storage unit 130, the recommended rank information storage unit 140, and the product information storage unit 150 are configured on the main storage device, HDD, It can also be configured by any commonly used storage medium such as an optical disk or a memory card.

  The recommendation program is recorded in a computer-readable recording medium such as a CD-ROM, a flexible disk (FD), a CD-R, or a DVD (Digital Versatile Disk) as a file in an installable or executable format. May be provided.

  Further, the recommendation program may be provided by being stored on a computer connected to a network such as the Internet and downloaded via the network. In addition, the recommendation program may be provided or distributed via a network such as the Internet.

  Similarly to the recommendation server 100, the EC server 300 has a hardware configuration using a normal computer. In the above-described embodiment, the recommendation server 100 and the EC server 300 are described as separate servers. However, the functions of the recommendation server 100 and the EC server 300 may be provided in one server.

  In addition, when the customer uses a mobile phone instead of a PC, the processing flow described above may be slightly different. In the PC 200, the browser of the PC 200 reads the HTML file and executes a script described for each recommendation display area, thereby accessing the recommendation server 100 and obtaining recommendation information. However, since the mobile phone may not be able to execute the same script, when the Web page of the EC server 300 is acquired from the mobile phone, it is previously described in the EC server 300 corresponding to the recommendation display area. By executing a program such as PHP (Hypertext Preprocessor), a request including a product ID and a customer ID is transmitted to the recommendation server 100, and recommendation information is acquired. Further, the EC server 300 captures the result in the HTML file and transmits the HTML file to the mobile phone. The mobile phone displays the information related to the recommended product in the recommendation display area by reading the transmitted HTML file.

  The mobile phone can execute the above-described recommendation process via the recommendation server 100 in the same manner as the PC by performing the above-described processing. When performing the above-described processing, the information processing apparatus described in the claims is the EC server 300.

  Note that the present invention is not limited to the above-described embodiments as they are, and can be embodied by modifying the components without departing from the scope of the invention in the implementation stage. In addition, a plurality of constituent elements disclosed in the above-described embodiments may be appropriately combined, and some constituent elements may be deleted from the constituent elements shown in the embodiments.

DESCRIPTION OF SYMBOLS 1 Network 10 Recommendation system 100 Recommendation server 101 Transmission / reception part 102 Time series history information generation part 103 Recommendation rank information generation part 104 Recommendation information generation part 110 History information storage part 120 Time series history information storage part 130 Definition information storage part 140 Recommendation rank information Storage unit 150 Product information storage unit 200 Personal computer 300 EC server

In order to solve the above-described problems and achieve the object, the present invention provides a recommendation device connected to an information processing apparatus via a network, for each product identification information for identifying the first product , the first product . After the purchase, the product identification information of the second product to be purchased continuously is associated with the next rank information indicating the order according to the number of purchases of the second product that has been purchased continuously with the first product. Recommended rank information storage means for storing, definition information storage means for storing the fact that rank information is used one after another, product information storage means for storing the product identification information and product related information, which is information related to products, in association with each other. , the information processing apparatus transmitted from a receiving means for receiving a product recommendation request including the commodity identification information, and stores the fact of using the after next rank information in the definition information storage means situ In addition, among the product identification information of the second product corresponding to the product identification information received by the receiving unit, stored in the recommended rank information storage unit, the product whose rank is set in the next rank The identification information is acquired, and among the product identification information of the second product stored in the recommended rank information storage unit corresponding to each of the acquired product identification information, the rank is set for the next rank. The product identification information is acquired, product related information corresponding to the acquired product identification information is acquired from the product information storage means, and recommendation information which is information used for displaying the product in the information processing apparatus is generated. and recommendation information generating means, transmitting means for transmitting the recommendation information generated by the recommendation information generating unit to the information processing apparatus , Characterized in that it comprises a.
Further, according to the present invention, in the recommendation device connected to the information processing apparatus via the network, each of the product identification information for identifying the first product is purchased continuously before the first product is purchased. Recommended rank information storage means for storing the product identification information of the product and the previous rank information indicating the order according to the number of purchases of the second product that has been purchased in succession to the first product; Definition information storage means for storing information to be used, product information storage means for storing the product identification information and product related information that is information about the product in association with each other, and the information processing device transmitted from the information processing device, Stored in the recommended rank information storage means when the receiving means for receiving the product recommendation request including the product identification information and the fact that the rank information is previously used in the definition information storage means are stored. Among the product identification information of the second product corresponding to the product identification information received by the receiving means, the product identification information whose rank is set in the previous rank is acquired, and further acquired. Of the product identification information of the second product stored in the recommended rank information storage unit corresponding to each of the product identification information, the product identification information whose rank is set in the previous rank is acquired and acquired. Recommendation information generating means for acquiring product related information corresponding to the product identification information from the product information storage means, and generating recommendation information which is information used for displaying the product on the information processing apparatus, and the recommendation information generation Transmission means for transmitting the recommendation information generated by the means to the information processing apparatus.

In addition, the present invention relates to product identification of a second product that is continuously purchased after purchasing the first product for each product identification information for identifying the first product connected to the information processing apparatus via a network. The recommended rank information storage means for storing the information and the next rank information indicating the order according to the number of purchases of the second product that has been purchased in succession to the first product, and the rank information used one after another A recommendation method executed by a recommendation device comprising: definition information storage means for storing information; and product information storage means for storing the product identification information and product related information, which is information related to products, in association with each other, receiving means, the transmitted from the information processing apparatus, a reception step of receiving a product recommendation request including the product identification information, the recommendation information generating unit, following the definition information storage means Of the product identification information of the second product corresponding to the product identification information received by the receiving step stored in the recommended rank information storage means when storing the fact that the rank rank information is used, The product identification information whose rank is set in the next rank is acquired, and further, the product identification information of the second product stored in the recommended rank information storage means corresponding to each of the acquired product identification information Among them, the product identification information whose rank is set in the next rank is acquired, product related information corresponding to the acquired product identification information is acquired from the product information storage means, and the product is displayed on the information processing device and recommendation information generation step of generating recommendation information is information used for the transmission means, by the recommendation information generating step The made the recommendation information is characterized in that it comprises a transmission step of transmitting to the information processing apparatus.
Further, according to the present invention, for each product identification information for identifying the first product, which is connected to the information processing apparatus via the network, the product of the second product purchased continuously before purchasing the first product. and identification information, the recommendation rank information storage means for storing the the previous rank information indicating a rank corresponding to the cart of the second goods purchased in succession to the first product, in association with each other, before people times rank information A recommendation method executed by a recommendation device comprising: definition information storage means for storing the fact that information is used; and product information storage means for storing the product identification information and product related information that is information about the product in association with each other. A receiving step for receiving a product recommendation request including the product identification information transmitted from the information processing apparatus; and a recommendation information generating unit in front of the definition information storing unit. Of the product identification information of the second product corresponding to the product identification information received by the receiving step stored in the recommended rank information storage means when storing the fact that the rank rank information is used, The product identification information whose rank is set in the previous rank is acquired, and further, the product identification information of the second product stored in the recommended rank information storage unit corresponding to each of the acquired product identification information Among them, the product identification information whose rank is set in the previous rank is acquired, product related information corresponding to the acquired product identification information is acquired from the product information storage means, and the product is displayed on the information processing device A recommendation information generation step for generating recommendation information, which is information used to perform the transmission, and a transmission means, by the recommendation information generation step. The made the recommendation information is characterized in that it comprises a transmission step of transmitting to the information processing apparatus.

In addition, the present invention relates to product identification of a second product that is continuously purchased after purchasing the first product for each product identification information for identifying the first product connected to the information processing apparatus via a network. The recommended rank information storage means for storing the information and the next rank information indicating the order according to the number of purchases of the second product that has been purchased in succession to the first product, and the rank information used one after another Sent from the information processing apparatus to a computer comprising definition information storage means for storing information, and product information storage means for storing the product identification information and product related information that is information about the product in association with each other. a receiving step of receiving a product recommendation request including the commodity identification information, if after next is stored to the effect that use of the rank information in the definition information storage means, wherein the recommendation rank information storage means Of the stored product identification information of the second product corresponding to the product identification information received by the receiving step, the product identification information whose rank is set in the next rank is acquired, and further acquired. The product identification information whose rank is set in the next rank is acquired and acquired among the product identification information of the second product stored in the recommended rank information storage unit corresponding to each of the product identification information A recommendation information generating step for acquiring product related information corresponding to the product identification information from the product information storage means and generating recommendation information which is information used for displaying the product on the information processing apparatus; and the recommendation information Transmitting the recommendation information generated by the generation step to the information processing apparatus. And wherein the door.
Further, according to the present invention, for each product identification information for identifying the first product, which is connected to the information processing apparatus via the network, the product of the second product purchased continuously before purchasing the first product. The recommended rank information storage means for storing the identification information in association with the previous rank information indicating the order according to the number of purchases of the second product that has been purchased in succession to the first product, and the previous rank information is used. Sent from the information processing apparatus to a computer comprising definition information storage means for storing information, and product information storage means for storing the product identification information and product related information, which is information related to products, in association with each other. In addition, when the reception step of receiving a product recommendation request including the product identification information and the fact that the rank information is previously used in the definition information storage unit are stored, the recommended rank information storage unit Of the stored product identification information of the second product corresponding to the product identification information received by the receiving step, the product identification information whose rank is set in the previous rank is acquired, and further acquired. The product identification information whose rank is set in the previous rank is acquired and acquired from the product identification information of the second product stored in the recommended rank information storage unit corresponding to each of the product identification information A recommendation information generating step for acquiring product related information corresponding to the product identification information from the product information storage means and generating recommendation information which is information used for displaying the product on the information processing apparatus; and the recommendation information Transmitting the recommendation information generated by the generation step to the information processing apparatus. And wherein the door.

Claims (9)

In a recommendation device connected to an information processing device via a network,
For each product identification information for identifying the first product, according to the product identification information of the second product to be purchased continuously with the first product and the number of purchases of the second product to be purchased continuously with the first product Recommendation rank information storage means for storing the recommendation rank information indicating the corresponding rank in association with each other;
Definition information storage means for storing a recommendation condition indicating a condition for selecting a product using the recommended rank information;
Product information storage means for storing the product identification information and product related information that is information about the product in association with each other;
Receiving means for receiving a product recommendation request including the product identification information transmitted from the information processing device;
Acquiring product identification information of the second product corresponding to the product identification information received by the receiving unit from the recommended rank information storage unit according to the recommendation condition stored in the definition information storage unit Recommendation information generating means for acquiring product related information corresponding to the product identification information from the product information storage means, and generating recommendation information that is information used for displaying the product on the information processing device;
Transmitting means for transmitting the recommendation information generated by the recommendation generating means to the information processing apparatus;
A recommendation device comprising: The recommended rank information storage means stores, as the recommended rank information, a next rank indicating a rank according to the number of purchases of the second product continuously purchased after purchasing the first product,
The definition information storage means stores the fact that the next rank is used as the recommendation condition,
The recommendation information generation means corresponds to the product identification information received by the reception means stored in the recommended rank information storage means when storing that the next rank is used for the recommendation condition. Of the product identification information of the second product, the product identification information whose rank is set to the next rank is acquired, and product related information corresponding to the acquired product identification information is acquired from the product information storage means. Generating the recommendation information;
The recommendation device according to claim 1. The definition information storage means stores that the rank is used one after another as the recommendation condition,
The recommendation information generating means stores the fact that the rank is used one after another for the recommendation condition, and stores the recommendation rank information storage means, and corresponds to the product identification information received by the receiving means. Of the product identification information of the second product, obtain the product identification information whose rank is set in the next rank,
Further, among the product identification information of the second product stored in the recommended rank information storage unit corresponding to each of the acquired product identification information, the product identification information whose rank is set in the next rank is acquired. And
Acquiring product related information corresponding to the acquired product identification information from the product information storage means, and generating the recommendation information;
The recommendation device according to claim 2, wherein: The recommended rank information storage means stores, as the recommended rank information, a previous rank indicating a rank according to the number of purchases of the second product that has been purchased continuously before purchasing the first product,
The definition information storage means stores that the previous rank is used as the recommendation condition,
The recommendation information generation means corresponds to the product identification information received by the reception means, stored in the recommended rank information storage means, when storing that the previous rank is used for the recommendation condition. Of the product identification information of the second product, the product identification information whose rank is set in the previous rank is acquired, and product related information corresponding to the acquired product identification information is acquired from the product information storage means. Generating the recommendation information;
The recommendation device according to any one of claims 1 to 3. The definition information storage means stores the fact that the rank is used the previous time as the recommendation condition,
The recommendation information generating means stores the fact that the rank is used two times before the recommendation condition, and stores the recommendation rank information storage means corresponding to the product identification information received by the receiving means. Of the product identification information of the second product, obtain the product identification information whose rank is set in the previous rank,
Further, among the product identification information of the second product stored in the recommended rank information storage unit corresponding to each of the acquired product identification information, the product identification information whose rank is set in the previous rank is acquired. And
Acquiring product related information corresponding to the acquired product identification information from the product information storage means, and generating the recommendation information;
The recommendation apparatus of Claim 4 characterized by these. The recommended rank information storage means includes, as the recommended rank information, an in-period rank indicating a rank according to the number of purchases of the second product purchased within a predetermined period continuously before and after purchasing the first product. Remember,
The definition information storage means stores that the rank within the period is used as the recommendation condition,
The recommendation information generation means corresponds to the product identification information received by the reception means stored in the recommended rank information storage means when storing that the rank within the period is used as the recommendation condition. Of the product identification information of the second product to be acquired, the product identification information whose rank is set in the rank within the period is acquired, and product related information corresponding to the acquired product identification information is obtained from the product information storage means Obtaining and generating the recommendation information;
A recommendation device according to any one of claims 1 to 5, wherein: The definition information storage means further stores a rank in the recommendation condition,
The recommendation information generation means includes the recommendation rank information in the recommendation rank information out of the product identification information of the second product acquired from the recommendation rank information storage means when a rank is set in the recommendation condition. Select the product identification information in which the same order as the order stored in the condition is selected, obtain the product related information corresponding to the selected product identification information from the product information storage means, and generate the recommendation information To do,
The recommendation device according to any one of claims 2 to 6. For each product identification information for identifying the first product connected to the information processing apparatus via the network, the product identification information of the second product to be purchased in succession to the first product and the first product. Recommended rank information storage means for storing in association with recommended rank information indicating the order according to the number of purchases of the second product to be purchased, and a recommendation condition indicating a condition for selecting a product using the recommended rank information A recommendation method executed by a recommendation device comprising: definition information storage means for storing information; and product information storage means for storing the product identification information and product related information, which is information related to products, in association with each other,
A receiving step for receiving a product recommendation request including the product identification information transmitted from the information processing apparatus;
The recommendation information generating means stores the product identification information of the second product corresponding to the product identification information received by the receiving step according to the recommendation condition stored in the definition information storage means in the recommended rank information storage. Recommendation information generation that is acquired from the means, acquires product related information corresponding to the acquired product identification information from the product information storage means, and generates recommendation information that is information used to display the product on the information processing apparatus Steps,
A transmission step of transmitting the recommendation information generated by the recommendation generation step to the information processing apparatus;
The recommendation method characterized by including. For each product identification information for identifying the first product connected to the information processing apparatus via the network, the product identification information of the second product to be purchased in succession to the first product and the first product. Recommended rank information storage means for storing in association with recommended rank information indicating the order according to the number of purchases of the second product to be purchased, and a recommendation condition indicating a condition for selecting a product using the recommended rank information A computer comprising: definition information storage means for storing information; and product information storage means for storing the product identification information and product related information that is information related to the product in association with each other.
Receiving a product recommendation request including the product identification information transmitted from the information processing apparatus;
The product identification information of the second product corresponding to the product identification information received by the receiving step according to the recommendation condition stored in the definition information storage unit is acquired from the recommended rank information storage unit and acquired. A recommendation information generation step of acquiring product related information corresponding to the product identification information from the product information storage means and generating recommendation information which is information used for displaying the product on the information processing device;
A transmission step of transmitting the recommendation information generated by the recommendation generation step to the information processing device;
A recommendation program characterized by running

Images