JP2009122780A - Recommendation device and recommendation method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To solve the problem that the fact that it is difficult to predict a period when merchandise becomes unnecessary in a conventional technology for making the transfer recommendation of merchandise is resulted from the fact that the period when the merchandise becomes unnecessary is largely affected by a factor which is normally difficult to estimate such as the change of a fashion or the change of the tastes of an individual user or the increase of a feeling of weariness to merchandise accompanied by its use. <P>SOLUTION: This recommendation device is configured to retrieve whether or not a homogeneous product has been previously purchased by the same user in purchasing merchandise by using the purchase history of merchandise, and to, when the retrieval result is positive, determine that the merchandise is purchased by replacement. That is because there is low possibility that the user purchases homogeneous merchandise in such a period that the user has just started to use the merchandise, and because there is low possibility that the user discards the previous merchandise in advance before purchasing the new homogeneous merchandise. Then, the recommendation device is configured to recommend the user to transfer the merchandise whose purchase period is older to a third person according to the determination result. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a technique for determining a product replacement timing from the same type of product purchase history and recommending that a user's product be transferred to a third party at an appropriate timing.

  Conventionally, users dispose of products that are no longer needed, such as by discarding them. However, due to increasing awareness of environmental conservation, in recent years, an increasing number of users are trying to reuse products by transferring unnecessary products to a third party using a flea market or Internet auction.

  In addition, in order to promote the reuse of such products, it is recommended that a third party (for example, an auction company, etc.) puts the product into an auction for the user in anticipation of when the product is unnecessary. A system is also provided.

For example, in Patent Document 1, since a school bag is used for 6 years, the above-mentioned assignment is recommended after 6 years from purchase. A technology related to an auction support apparatus that makes a product provision recommendation to an auction is disclosed.
JP 2002-297946 A

  However, the above-described conventional technology has a problem that it is difficult to predict when the product is unnecessary, except for a product such as a school bag whose usage period is clearly determined. This is because the time when a product is unnecessary depends largely on factors that are usually difficult to assume, such as changes in fashion, changes in individual user's hobbies, or increased tiredness of the product due to use. Because.

  Therefore, in the conventional technology, when the product provision is recommended at the predetermined timing described above, for example, because it is a timing that the user still has no intention to release, there is a possibility that reuse of the product may not be promoted in the end. .

In order to solve the above problems, the present invention is to use the purchase history database of products in such as EC site, the search whether or not the same user, such as during product purchase are buying the products of the same type previously If it has been purchased, it is determined that the product has been purchased by replacement. This is because the possibility of purchasing the same type of product at the beginning of use of the product is low, and the possibility of disposing of the previous product before the purchase of a new product of the same type is low. And according to the judgment result, the recommendation apparatus which recommends so that the goods purchased previously may be transferred to a third party is provided.

  Specifically, a product purchase history acquisition unit that acquires product purchase history on an EC site or / and an electronic card in association with the product purchaser, and a product purchase history associated with an arbitrary product purchaser are searched. , A search unit that searches for purchase histories of a plurality of similar products, and if a purchase history of the same type of product is found by a search in the search unit, the purchaser associated with the purchase history And a transfer recommendation transmitting unit that transmits a transfer recommendation, which is information recommending that a product purchased in the past among the plurality of similar products is transferred to a third party.

  In the present invention configured as described above, it is possible to grasp the timing of product replacement, etc., and to recommend that old products that are considered unnecessary are listed in an auction and transferred to a third party. . Therefore, it can be expected to execute the transfer with a high probability. In addition, by smoothly promoting the reuse of products in this way, it is possible to eliminate waste of resources and contribute to environmental conservation.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. Note that the present invention is not limited to these embodiments, and can be implemented in various modes without departing from the spirit of the present invention.

  In the first embodiment, claims 1 and 4 will be mainly described. In the second embodiment, claims 2 and 5 will be mainly described. In the third embodiment, claims 3 and 6 will be mainly described.

Example 1
<Overview>
FIG. 1 is a conceptual diagram illustrating an example of a recommendation notification such as product trade-in performed by the recommendation device according to the present embodiment. As shown in FIG. 1A, the user α made a successful bid for “CPU”, which is a personal computer part, for 9800 yen in an online auction. Then, the merchandise purchase history by the successful bid is accumulated in the database.

  After several years, the user α who thought about upgrading his personal computer purchased a new “high clock version CPU” for 15000 yen at the home electronics EC site as shown in FIG. At this time, when the recommendation device according to the present embodiment searches the product purchase history database, it has been found that the same type of “CPU” has been previously purchased from the purchase history of the user α.

  Therefore, as shown in FIG. 1 (c), the recommendation device of the present embodiment trades the previously purchased “old CPU” into a used PC parts shop that is a partner of the transfer recommendation service according to the present invention. A transfer recommendation mail that prompts the user to do so is sent to the user α. And since the user α purchases a new CPU and the old CPU that is the target of the transfer recommendation is likely to be unnecessary, it can be expected to respond to this transfer recommendation in many cases. Condition.

<Functional configuration>
FIG. 2 is a diagram illustrating an example of functional blocks in the recommendation device according to the present embodiment. As shown in this figure, the “recommendation device” (0200) of this embodiment includes a “product purchase history acquisition unit” (0201), a “search unit” (0202), and a “transfer recommendation transmission unit” (0203). And having.

  The functional blocks of the recommendation device described below can be realized as hardware, software, or both hardware and software. Specifically, if a computer is used, a CPU, a main memory, a bus, or a secondary storage device (a hard disk, a non-volatile memory, a storage medium such as a CD or a DVD, a reading drive for the medium, etc.), a printing device And hardware components such as display devices and other external peripheral devices, driver programs and other application programs for controlling the hardware, and user interfaces used for information input.

  Then, by CPU processing according to the program developed on the main memory, the data input via the interface and stored in the memory and hard disk are processed and stored, and the above hardware and software are controlled. Instructions are generated.

  Further, the present invention can be realized not only as a recommendation device but also as a method. A part of the invention can be configured as software. Furthermore, a software product used for causing a computer to execute such software and a recording medium in which the product is fixed to a recording medium are naturally included in the technical scope of the present invention (the same applies throughout the present specification). Is).

  The “product purchase history acquisition unit” (0201) has a function of acquiring the product purchase history on the EC site or / and the electronic card in association with the product purchaser. Specifically, the product purchase history database provided on the outside such as the Internet, or the product purchase history database provided in the device itself (local) in which the recommendation device of the present embodiment is incorporated. The purchase history acquisition unit may be configured to acquire the product purchase history in association with the product purchaser.

  Regarding the “product purchase history database”, EC sites (including auction sites) and electronic cards (credit cards, electronic money cards, mobile phones with built-in electronic money functions, rental personal authentication cards, customer management purposes) An existing database managed by a credit sales company (such as a point card linked to the database) may be used as it is. That is, a product purchase history database is constructed by associating a product ID with a product purchaser ID, a product purchase date, etc. by purchasing a product (successful bid) on an EC site or purchasing a product using an electronic card. Is used.

  In addition, a person who provides a transfer recommendation service according to the present invention may be constructed by combining existing databases, or a new database may be constructed. The product purchase history database may be a product purchase history database other than an EC site or a credit card as long as the product purchase history can be stored in association with the product purchaser at the time of product purchase. . Specifically, for example, there is a database that accumulates a product purchase history in a sales form in which user management using a point card is performed.

  FIG. 3 is a conceptual diagram illustrating an example of a product purchase history associated with a product purchaser obtainable from the various databases. As shown in this figure, for example, as the product purchase history of the user α, “product purchase date”, “purchase product ID (product name, model number, JAN code, etc.)”, “purchase product type (category)”, “ For example, history information in which “product purchase price” is tabulated. Then, from such a product purchase history, it is determined whether or not the same type of product purchase has been made with the following configuration, and it is determined whether or not an unnecessary product has been generated due to replacement for the user.

  The “search unit” (0202) has a function of searching for a product purchase history associated with an arbitrary product purchaser and searching for purchase histories of a plurality of similar products. In this manner, in this search unit, for example, as shown in FIG. 3, in the product purchase history of the user α, it is determined whether or not the same type of product has been purchased before using “CPU” (0310) purchased earlier as a search key. For example, a search process is performed.

  However, the product purchase history to be searched by the search unit is not limited to the product purchase history related to one product purchaser (only the user α). In other words, the “arbitrary product purchaser” to be searched is searched for the “product purchase history of all family members” if, for example, it is determined from registered attribute information that there is a family living with the user α. You may comprise so that a process may be performed.

  Further, the “same type of product” to be searched is not limited to the same type of product. For example, for parts such as “PC (Personal Computer)” and “CPU” or “Automobile” and “Tire” that are composed of multiple parts and are likely to be replaced by purchase, search for individual parts. It is better to determine whether the product is the same type. Specifically, a “product-part table” in which products and component parts are separately associated with each other is held, and the “product-part table” is referred to when searching by this search unit. , And so on.

  Alternatively, for example, when a user who has previously purchased a fan in the product purchase history has purchased a cooling air conditioner, the fan may be searched for the same type of product of the air conditioner. Specifically, as shown in FIG. 3, in the product purchase history, a product type (category) is tabulated in advance in addition to the product ID, and the search is performed on this item when searching. good.

  In addition, as a trigger at the time of performing this merchandise purchase history search process, for example, acquisition of information indicating that the user has purchased a new merchandise on an EC site or a credit card may be used. In this case, the transfer recommendation can be transmitted with the following configuration at an effective timing immediately after the user purchases the product.

  In addition, for example, acquisition of access information indicating that a product catalog page has been browsed on an EC site, acquisition of information indicating that a document request has been made, or the like may be used as a trigger for executing the above processing. Furthermore, when triggering something other than actual product purchase as described above, the number of accesses to the same page / same item, the number of requests for materials, etc. are determined. And the processing related to the following transfer recommendation transmission may be executed. In addition, by executing the search process before actual product purchase in this way, for example, transfer recommendation can be performed with a configuration described later at an early stage. Therefore, there is an effect that it is possible to avoid the situation where the user throws away the old product to be immediately transferred.

  In this way, it is possible to search for products that are assumed to be unnecessary by replacement purchase. Then, based on the search result, the transfer recommendation is executed for the product hit in the search by the following configuration.

  The “transfer recommendation transmission unit” (0203) transmits a transfer recommendation to the product purchaser associated with the purchase history when the purchase history of the same type of product is found by the search in the search unit. It has a function. “Transfer recommendation” is information recommending that a product purchased in the past among the plurality of similar products is transferred to a third party. Specifically, a fixed phrase such as “If you purchased (Yes) ○○ (product name), you can get a trade-in for XX (product name) you purchased before” as a trade-in. ” To the registered e-mail address of the purchaser of the product. As for the transfer recommendation, in addition to the trade-in and purchase at the above-mentioned second-hand shops, it is recommended to participate in a flea market, donate to a predetermined group, or exhibit at an auction site as described later in the third embodiment. In that case, if the transfer recommendation service provider using the recommendation device of this embodiment provides with a plurality of transfer destinations, etc., an appropriate partner as the transfer destination is keyed from the provided database with the product ID etc. It may be configured to search and specify as In addition, if the provider of the transfer recommendation service itself is a transfer destination or a transfer provider, it is preferable to transmit a transfer recommendation that recommends transfer to itself.

  Alternatively, it may be configured such that nearby second-hand shop information, flea market information scheduled to be held in the near future indicated by calendar information, and the like are retrieved and acquired from the address information indicated by the registered user attribute information and included in the transfer recommendation.

  In addition, regarding the selection of a product to be recommended for transfer, “the one that has been purchased the farthest among a plurality of similar products”, that is, the oldest with reference to the purchase date of the product purchase history shown in FIG. You may comprise so that the thing of a purchase date may be selected. Specifically, for example, search processing is performed in order of product purchase date, and after one corresponding product is found, whether there is a similar product with a purchase date older than that is searched. Of course, in addition to the above, all items other than newly purchased products may be processed as target products for transfer recommendation. Alternatively, the transfer recommendation may be transmitted for a product with the lowest price or a product with the shortest remaining life cycle by referring to the price or the life cycle of the product separately determined from the product-life cycle table.

  Further, it may be configured to find a user as a transfer destination before the transfer recommendation transmission. That is, first, as described above, the search process in the search unit is executed before purchasing the product. Then, the product scheduled to be transferred at an early stage (before the transfer recommendation transmission) is specified. Subsequently, a user who has no purchase history of the product is searched in the product purchase history database, and an assignment recommendation is transmitted to the found user. The “transfer recommendation” refers to information for notifying that the product can be transferred (scheduled). For example, as with the transfer recommendation, it may be notified by a standard text e-mail or the like. Then, when the reply information indicating that the transfer is accepted from the user is acquired, the recommendation device according to the present embodiment adds the information (user name, contact information, etc.) of the transfer requester to the transfer recommendation, and so on. is there. In addition, when there are a plurality of transfer applicants, it is preferable to present the desired transfer amount and add the information of the user who has the maximum displayed amount to the transfer recommendation.

  Further, the assignment recommendation transmission unit may further include the following configuration that controls transmission of the assignment recommendation using attribute information held in advance by user registration or the like.

  FIG. 4 is a conceptual diagram illustrating an example of user attribute information held in advance in the recommendation device according to the present embodiment. As shown in this figure, for example, as user attribute information, age, sex, family structure, collection (hobby preference) information, and other various information indicating user attributes are stored and held in a secondary storage device such as an HDD. . Then, for example, when the calculation device determines that the product type of the product found by the search of the search unit is a collection target with reference to the collection information of the user, it is determined that the possibility of transfer is low and the transfer recommendation is determined. For example, it is controlled not to transmit.

  Or, for example, when acquiring information on the number of family members who have ordinary licenses or family members who are over 20 years old from the user attribute information, for example, “3 people”, it is not recommended for the purchase of a third car. However, the recommendation device may be provided with a configuration for transmitting a transfer recommendation for the first time when the fourth vehicle is purchased.

  In addition to the attribute information, the recommendation device has, for example, a configuration for acquiring and managing information indicating the degree of response to the previous recommendation, and the following configuration that controls transmission of the transfer recommendation according to the degree of response May be further included.

  FIG. 5 is a diagram illustrating an example of a product purchase history table to which a transfer flag is further added. The “transfer flag” is a flag indicating that the user has actually transferred in accordance with the transfer recommendation transmitted by the recommendation device. For example, the transfer flag is acquired by information input from the user or information input from the transfer destination. It should be added to the product purchase history. Then, as shown in this figure, when the total number of transfer flags “○” is equal to or greater than the threshold, it is determined that the transfer tendency of the user's comics is high, and control is performed so as to always transmit a transfer recommendation regarding the comics, or Conversely, when the CPU determines that the number of transfer flags is equal to or less than the threshold, control is performed so as not to transmit a transfer recommendation.

  Further, the recommendation device of the present embodiment may refer to the transfer flag individually for each product type. That is, as shown in the figure, the user α transfers the first volume, the second volume, and the third volume of the comic A every time a new volume is purchased. Therefore, when a determination result to that effect is output by the arithmetic processing of the CPU, when the comic A is purchased, the transfer recommendation is always transmitted for the previous volume. On the other hand, since it is determined that the comic B is not in accordance with the previous transfer recommendation based on the transfer flag, the recommendation apparatus controls the comic B not to transmit the above recommendation.

  Also, the transfer tendency determined from the transfer flag may be configured to perform statistical analysis in association with the aforementioned user attribute. Specifically, for example, the CPU executes a statistical analysis process according to a statistical analysis program using the number of transfer flags and user attribute information as parameters. As a result, if the gender attribute is male, the previous merchandise is not transferred even if the same-type clothing of 10 or more attentions is purchased. On the other hand, if the gender attribute is female, a statistical result is calculated such that the transfer rate is increased by purchasing the same type of clothing of 4 attention. Then, according to the statistical result, a transfer recommendation transmission rule, for example, “If the attribute is a man, do not send a transfer recommendation for clothes” “If the attribute is a woman, send a transfer recommendation for purchase of similar clothes after 4 points of interest for clothes. A rule such as “Yes” is generated. Then, control is performed so as to transmit the transfer recommendation according to the rule.

  In addition, by controlling the transmission of transfer recommendations using various data in this way, it is possible to make transfer recommendations that match the user's tendency and the like, which has the effect of further stimulating the user's willingness to transfer. I can expect.

  In addition, by using the transfer flag shown in FIG. 5, a product that has been previously transferred is not already owned by the user, and may be excluded from the search target of the search process in the search unit. As a result, the load of search processing can be reduced.

<Hardware configuration>
FIG. 6 is a schematic diagram illustrating an example of a configuration of the recommendation device when the above functional components are realized as hardware. The operation of each hardware component in the transmission process of the transfer recommendation will be described using this figure.

  As shown in this figure, the recommendation device includes a “CPU” (0601) and a “main memory” (0602) which perform various arithmetic processes and are a search unit and a product purchase history acquisition unit. Also, an “HDD” (0603) that holds various databases and tables and a “communication IF” (0604) that is a transfer recommendation transmission unit are provided. They are connected to each other via a data communication path such as a “system bus” to transmit / receive information and process information.

  A program is read out to the “main memory”, and the “CPU” executes various arithmetic processes by referring to the read out program. In addition, a plurality of addresses are assigned to each of the “main memory” and “flash memory”, and in the calculation processing of the “CPU”, the addresses are specified and accessed to store the data. It is possible to perform arithmetic processing using.

  As described above, in this hardware configuration example, the configuration in which the product purchase history database is held is taken as an example, but of course, the configuration is not limited to this, and the EC on the network is set via the “communication IF”. A configuration in which a product purchase history database held in a site server or the like is referred to may be used.

  Here, when the user purchases a product on the EC site, for example, the latest product purchase history in which the purchased product type ID is associated with the user ID is transmitted from the EC site server. Then, the recommendation device acquires the product purchase history through the “communication IF”, and stores the user ID and purchase product type ID included therein in the addresses 1 and 2 of the “main memory”, respectively. Then, the “CPU” executes the following processing according to the recommendation program with the storage of these information as a trigger.

  That is, first, using the user ID stored in the address 1 of the “main memory”, the user's past product purchase history is stored in the product purchase history DB stored in the HDD separately for each user ID. Is identified. Subsequently, the identified product purchase history is sequentially read out to address 3 of “main memory” in order of purchase date, for example, and whether or not the product purchase history is the same as the latest purchase product type stored in address 2 of “main memory”. The determination process is executed. Specifically, whether or not the information indicated by the product ID and the product type in the product purchase history matches is determined by a logical operation process of “CPU”. Further, in this processing, for example, a database may be configured such that a match is determined even if it is not an exact match by referring to a database categorized by associating the same type of product such as the aforementioned “product-parts table”.

  Then, as a result of the determination process, the past same-type product purchase history found is stored in 4 or less of “main memory”. Here, if there is one product of the same type, the recommendation information generated by embedding the product ID in the recommendation template stored in “HDD” is stored at address 5 of “main memory”. For example, the recommendation information is transmitted from the “communication IF” by e-mail with the user address of the target user held in the user attribute table as a destination.

  In addition, if there are multiple product types of the same type that have been found, the above-mentioned recommendation information may be generated and transmitted for all of them, and the purchase date indicated in the purchase history of the product is also available. May be processed so as to transmit recommendation information for the oldest product (having a small date value). Alternatively, it is also possible to refer to the amount indicated by the product purchase history or the product life cycle table separately stored as a database in the “HDD” to identify the product to which the recommendation information is to be transmitted. .

  In addition, as described above, the user attribute table held in “HDD” is referred to, and processing for determining whether to transmit recommendation information using information indicated by age, hobby preference, and family structure is executed. You may do it. In addition, a determination process for determining whether or not to transmit the recommendation information may be performed using the transfer history database in which the transfer flag is recorded.

<Process flow>
FIG. 7 is a flowchart illustrating an example of a process flow in the recommendation device according to the present exemplary embodiment. Note that the steps shown below may be processing steps that constitute a program for controlling a computer recorded on a medium.

  As shown in this figure, first, when information indicating that there is a new purchase of a product is acquired (step S0701), a product purchase history is acquired in association with the product purchaser (step S0702). Subsequently, a product purchase history associated with an arbitrary product purchaser is searched, and purchase histories of a plurality of same-type products are searched (step S0703). If a purchase history of the same type of product is found by the search (step S0704), for example, it is determined whether the product has already been transferred using a transfer flag or the like (step S0705). If it is determined that the product has not been transferred, the product purchased in the past among the same type of products found for the product buyer associated with the purchase history is transferred to a third party. A transfer recommendation recommending to be sent is transmitted (step S0706).

<Simple explanation of effect>
As described above, it is possible to determine the timing at which the same type of product purchased in the past is unnecessary by grasping the timing of purchasing a new product by the recommendation device according to the present embodiment. Therefore, a high transfer execution effect can be expected by performing a transfer recommendation for a product that is considered unnecessary to the user without missing such replacement timing.

<< Example 2 >>
<Overview>
The present embodiment is a recommendation device having a function of adding and transmitting information such as second-hand market prices of applicable products when performing the transfer recommendation based on the above-described embodiment.

  FIG. 8 is a diagram illustrating an example of a transfer recommendation mail transmitted to the user terminal by the recommendation device according to the present embodiment. As shown in this figure, in the template text of the transfer recommendation email, the consideration for the transfer of the product subject to the transfer recommendation, such as “The purchase price of the PC purchased previously is 30000 yen.” The market price information (0810) is written.

  In this way, since the user can know in advance the financial merit of the transfer, it can be expected to increase the incentive for the transfer.

<Functional configuration>
FIG. 9 is a diagram illustrating an example of functional blocks in the recommendation device according to the present embodiment. As shown in this figure, the “recommendation device” (0900) of the present embodiment is based on the first embodiment and includes a “product purchase history acquisition unit” (0901), a “search unit” (0902), and a “transfer recommendation”. A transmission unit "(0903). Since these structural requirements have already been described in the above embodiment, the description thereof will be omitted.

  The feature of the present embodiment is that the recommendation device further includes a “market price information acquisition unit” (0904), and the transfer recommendation information transmission unit further includes a “market price information addition unit” (0905).

  The “market price information acquisition unit” (0904) has a function of acquiring market price information in the recycling market of second-hand goods. This market price information acquisition unit collects HTML data such as a website for acquiring previously registered market price information, for example, a web page of a thrift shop or a price comparison web page, and price information of the corresponding product from tag information etc. To extract. FIG. 10 is a diagram showing an example of the market price shown on the Web page of each market collected and extracted in this way. For example, the market price information is calculated and acquired from the average of the extracted price information. “Used product recycling market” means a place with a market function to purchase or distribute used products, for example, auction including recycling / used purchase sales shop, free market, and online auction. And barter sites.

  The “market price information adding means” (0905) has a function of causing the market price information of a product to be recommended to be transferred to be added to the transfer recommendation and transmitted. As described above, in the recommendation device according to the present embodiment, the transfer recommendation as shown in FIG. 8 to which the market price information is added by the market price information adding unit can be transmitted to the user.

<Hardware configuration>
FIG. 11 is a schematic diagram illustrating an example of a configuration of the recommendation device when the above functional components are realized as hardware. The operation of each hardware component in the process of adding market price information to a transfer recommendation will be described using this figure.

  As shown in this figure, the recommendation device includes “CPU” (1101), “main memory” (1102), “HDD” (1103), and “communication IF” (1104), as in the first embodiment. I have.

  Here, the product ID that is the target of the transfer recommendation is acquired by the operation of each hardware configuration as described in the first embodiment and stored in the address 3 of the “main memory”. Subsequently, the recommendation device according to the present embodiment executes, for example, a market information database search process as shown in FIG. 10 held in “HDD” in advance using the product ID as a key. The market price information database may be constructed by automatically collecting and classifying by using tag information by a crawler.

  Then, the market price information of the product found by the search process is stored in the address 4 of the “main memory”. Then, according to the recommendation program, the average market price is calculated by the arithmetic processing of the CPU. Then, a transfer recommendation with the market price information is generated by adding the calculated market price information and stored in the address 5 of the “main memory”. For example, the recommendation information is transmitted from the “communication IF” by e-mail with the user address of the target user held in the user attribute table as a destination.

<Process flow>
FIG. 12 is a flowchart illustrating an example of a process flow in the recommendation device according to the present exemplary embodiment. Note that the steps shown below may be processing steps that constitute a program for controlling a computer recorded on a medium.

  As shown in this figure, first, when information indicating that there is a new purchase of a product is acquired (step S1201), a product purchase history is acquired in association with the product purchaser (step S1202). Subsequently, a product purchase history associated with an arbitrary product purchaser is searched, and purchase histories of a plurality of similar products are searched (step S1203). If a purchase history of the same kind of product is found by the search (step S1204), for example, it is determined whether the product has already been transferred using a transfer flag (step S1205). If the determination result indicates that the product has not been transferred, the market price information of the product is acquired from, for example, a database or a predetermined Web page (step S1206). Then, a transfer recommendation to which the market price information is added is transmitted to the product purchaser associated with the purchase history (step S1207).

<Simple explanation of effect>
As described above, the recommendation device according to the present embodiment can transmit the market price information on the second-hand market of the product to be transferred to the user who makes the transfer recommendation. Therefore, since the user can know in advance the financial merit of the transfer, an effect of further increasing the incentive for the transfer can be expected.

Example 3
<Overview>
The present embodiment is a recommendation device characterized in that, based on the embodiment described above, a recommendation is made to use an “Internet auction” as a place for transferring merchandise.

<Functional configuration>
FIG. 13 is a diagram illustrating an example of functional blocks in the recommendation device according to the present embodiment. As shown in this figure, the “recommendation device” (1300) of the present embodiment is based on the second embodiment and includes a “product purchase history acquisition unit” (1301), a “search unit” (1302), and a “transfer recommendation”. A "sending unit" (1303), a "market price information acquiring unit" (1304), and a "market price information adding means" (1305). Since these structural requirements have already been described in the above embodiment, the description thereof will be omitted.

  The feature of the present embodiment is that the transfer recommendation transmission unit further includes an “auction recommendation transmission unit” (1306), and the market price information addition unit further includes an “auction addition unit” (1307).

  The “auction recommendation transmitting means” (1306) has a function of transmitting an auction recommendation which is information for recommending an auction for an Internet auction. Here, for example, if the transfer recommendation service provider itself is the operator of the auction site, the URL of the own auction site may be described in the transfer recommendation. If the operator is not an Internet auction operator, the URL stored in the database may be added to the transfer recommendation with reference to the partner auction database.

  In addition, for example, it is configured to provide an “exhibition approval button” etc. in the transfer recommendation, and when the user presses the button of the transfer recommendation received and designates the attached photo or inputs the price, the transfer target product is automatically selected. The exhibition page may be automatically generated.

  The “auction adder” (1307) has a function of acquiring and adding market price information of an auction that recommends listings as market price information included in the auction recommendation transmitted by the auction recommendation transmission means (1306). Further, in connection with the “exhibition approval button” described above, the starting price at the time of auction listing may be the market price or a predetermined ratio.

  In addition, about acquisition of auction market price information, it is good to acquire from the auction apparatus of the following structures, for example. For example, as shown in FIG. 14, the auction apparatus includes an “auction market price information storage unit” (1411), an “auction market price information transmission unit” (1412), an “exhibition reception unit” (1413), and an “exhibition processing unit”. (1414).

  The “auction market price information storage unit” (1411) has a function of storing auction market price information and can be realized by a storage medium such as an HDD. Then, the auction price of the product, for example, the average successful bid price, average starting price, average number of bids, etc. for each product is accumulated and managed as a database.

  The “auction market price information transmission unit” (1412) has a function of transmitting the auction market price information related to the transfer target product stored in the auction market price information storage unit (1411) to the recommendation device. Then, when the user who has viewed the auction market price information transmitted to the recommendation device in this way and attached to the transfer recommendation decides the auction listing and presses the above-described exhibition approval button, for example, the exhibition approval information is displayed in the auction device. Received.

  The “exhibition acceptance unit” (1413) has a function of accepting user's exhibition information, and accepts, for example, product image information, start price information, and other setting information related to an auction in addition to information for approving an exhibition. Then, the “exhibition processing unit” (1414) executes generation of an exhibition page, acceptance of bid information, successful bid processing, and the like based on the exhibition information received by the exhibition reception unit (1413).

<Process flow>
FIG. 15 is a flowchart illustrating an example of a process flow in the recommendation device according to the present exemplary embodiment. Note that the steps shown below may be processing steps that constitute a program for controlling a computer recorded on a medium.

  As shown in this figure, first, when information indicating that there is a new purchase of a product is acquired (step S1501), a product purchase history is acquired in association with the product purchaser (step S1502). Subsequently, a product purchase history associated with an arbitrary product purchaser is searched, and purchase histories of a plurality of similar products are searched (step S1503). If a purchase history of the same type of product is found by the search (step S1504), for example, it is determined whether the product has already been transferred using a transfer flag or the like (step S1505). If the determination result indicates that the product has not been transferred, the auction price information of the product is acquired from, for example, an auction device (step S1506). Then, a transfer recommendation to which the auction market price information is added is transmitted to the product purchaser associated with the purchase history (step S1507). In addition, it accepts an exhibition request or the like according to the transfer recommendation.

<Simple explanation of effect>
As described above, according to the recommendation device of the present embodiment, it is possible to recommend a product transfer by auction to the user, and the range of selection of the user transfer can be expanded.

The conceptual diagram showing an example of recommendation notification, such as goods trade-in performed by the recommendation apparatus of Example 1. The figure showing an example of the functional block in the recommendation apparatus of Example 1. The conceptual diagram showing an example of the goods purchase history acquired in the goods purchase history acquisition part of the recommendation apparatus of Example 1. The conceptual diagram showing an example of the user attribute information previously hold | maintained in the recommendation apparatus of Example 1 The figure showing an example of the goods purchase history table to which the transfer flag was further added in the recommendation apparatus of Example 1. The figure showing an example of the hardware constitutions in the recommendation apparatus of Example 1. The flowchart showing an example of the flow of the process in the recommendation apparatus of Example 1. The figure showing an example of the transfer recommendation mail transmitted to a user's terminal by the recommendation apparatus of Example 2. The figure showing an example of the functional block in the recommendation apparatus of Example 2. The figure showing an example of the market price information acquired in the market price information acquisition part of the recommendation device of Example 2. The figure showing an example of the hardware constitutions in the recommendation apparatus of Example 2. The flowchart showing an example of the flow of a process in the recommendation apparatus of Example 2. The figure showing an example of the functional block in the recommendation apparatus of Example 3. The figure showing an example of the functional block in the auction apparatus which cooperates with the recommendation apparatus of Example 3. The flowchart showing an example of the flow of a process in the recommendation apparatus of Example 3.

Explanation of symbols

0200 Recommendation device 0201 Product purchase history acquisition unit 0202 Search unit 0203 Transfer recommendation transmission unit

Claims (6)

A product purchase history acquisition unit for acquiring a product purchase history on an EC site or / and an electronic card in association with a product purchaser;
A search unit for searching for purchase history of a plurality of similar products by searching for a product purchase history associated with an arbitrary product buyer,
When the purchase history of the same type of product is found by the search in the search unit, the purchaser associated with the purchase history is the one who has purchased in the past among the plurality of the same type of product. A transfer recommendation sending unit that sends a transfer recommendation, which is information recommending that the product be transferred to a third party,
A recommendation device having: It has a market price information acquisition unit that acquires market price information in the recycling market for used products.
The recommendation device according to claim 1, wherein the assignment recommendation transmission unit includes a market information addition unit that adds and transmits the market price information of a product for which the recommendation is recommended to the transfer recommendation. The transfer recommendation transmission unit has an auction recommendation transmission means for transmitting an auction recommendation that is information recommending an exhibition to an Internet auction,
3. The recommendation device according to claim 2, wherein the market price information adding means includes an auction adder that acquires and adds market price information of an auction that recommends an exhibition as market price information included in the auction recommendation transmitted by the auction recommendation transmission means. . A product purchase history acquisition step for acquiring a product purchase history on an EC site or / and an electronic card in association with a product purchaser;
A search step for searching for purchase history of a plurality of similar products by searching for a product purchase history associated with any product buyer,
If a purchase history of the same type of product is found by the search in the search step, the purchaser associated with the purchase history will be asked to A transfer recommendation sending step for sending a transfer recommendation, which is information recommending that the product be transferred to a third party,
A recommendation method that causes a computer to execute. There is a market price information acquisition step to acquire market price information in the recycling market etc. of used goods,
5. The recommendation method according to claim 4, wherein the transfer recommendation transmission step includes a market information addition step of adding and transmitting the market price information of a product to be recommended for transfer to the transfer recommendation. The transfer recommendation sending step includes an auction recommendation sending step of sending an auction recommendation which is information for recommending an Internet auction.
6. The recommendation method according to claim 5, wherein the market information addition step includes an auction addition step of acquiring and adding market price information of an auction that recommends listing as market price information included in the auction recommendation transmitted in the auction recommendation transmission step. .

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