Management device, management method, and program

Abstract

A management device, a management method, and a program are provided that enable more suitable bookmark management. [Solution] From bookmarks registered at the user's request, dormant bookmarks, which are bookmarks corresponding to items not currently for sale in the online market, are extracted, and a resale degree indicating the likelihood that the items corresponding to the extracted dormant bookmarks will be resold in the online market is calculated. Bookmarks corresponding to items with a calculated resale degree lower than a predetermined standard are extracted as deletion recommended bookmarks, and the extracted deletion recommended bookmarks are notified to the user as deletion recommendation notices urging the user to delete them from their bookmarks.

Description

[Technical Field]

[0001] The present invention relates to a management device, a management method, and a program. [Background technology]

[0002] To support the purchase of products and services over the Internet, users can register desired products and services as bookmarks, enabling them to easily access the purchase pages for those products and services at any time. Various methods have been devised to manage the bookmark information. For example, Patent Document 1 discloses a technology for processing and using user bookmark data. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Special Publication No. 2014-5192072 Summary of the Invention [Problem to be solved by the invention]

[0004] However, with the above technology, for example, if the number of registered bookmarks reaches the upper limit, it is necessary to delete the bookmark and then register it again. This leaves room for improvement in terms of bookmark management, as users may forget about the item they want to bookmark while deleting unnecessary bookmarks.

[0005] The present invention has been made to solve the above-mentioned problems, and has as its object to provide a management device, a management method, and a program that can more appropriately manage bookmarks. [Means for solving the problem]

[0006] A management device according to a first aspect of the present invention comprises: a dormant bookmark extracting unit that extracts dormant bookmarks, which are bookmarks corresponding to items that are not currently on sale in the online market, from bookmarks registered at the request of a user; a resale degree calculation unit that calculates a resale degree indicating a possibility that the item corresponding to the inactive bookmark extracted by the inactive bookmark extraction unit will be resold in the online market; a deletion recommended bookmark extraction unit that extracts, as deletion recommended bookmarks, bookmarks corresponding to the items whose resale degrees calculated by the resale degree calculation unit are lower than a predetermined standard; a deletion-recommended bookmark notification unit that notifies the user of the deletion-recommended bookmarks extracted by the deletion-recommended bookmark extraction unit as a deletion recommendation notification that encourages the user to delete the bookmarks from the bookmarks; Equipped with.

[0007] In addition, in the management device according to the above aspect, a bookmark deletion unit that deletes the deletion-recommended bookmarks extracted by the deletion-recommended bookmark extraction unit from the bookmarks; Further, it may be provided.

[0008] In addition, in the management device according to the above aspect, a determination unit that determines whether the item indicated by the deletion-recommended bookmark extracted by the deletion-recommended bookmark extraction unit is on sale at a retailer other than the retailer identified by the deletion-recommended bookmark, the deletion-recommended bookmark notification unit notifies the user, as the deletion recommendation notification, of the deletion-recommended bookmark extracted by the deletion-recommended bookmark extraction unit, the deletion-recommended bookmark corresponding to the item that has been determined by the determination unit to be not on sale at a retailer other than the retailer identified by the deletion-recommended bookmark. This may be done.

[0009] In addition, in the management device according to the above aspect, a timing determination unit that determines a timing for the deletion recommended bookmark notification unit to notify the deletion recommended bookmark; The timing determination unit determining a timing for issuing the deletion recommendation notice according to the number of bookmarks registered in the bookmark list; The more the number of bookmarks registered in the bookmarks, the higher the probability that it is time to notify the deletion recommendation notice. This may be done.

[0010] In addition, in the management device according to the above aspect, the deletion recommended bookmark extraction unit extracts more deletion recommended bookmarks as the number of bookmarks registered in the bookmark list increases; This may be done.

[0011] A management method according to a second aspect of the present invention comprises: A management method by a management device, a dormant bookmark extraction step of extracting dormant bookmarks, which are bookmarks corresponding to items not currently being sold in the online market, from bookmarks registered at the user's request; a resale degree calculation step of calculating a resale degree indicating a possibility that the item corresponding to the inactive bookmark extracted in the inactive bookmark extraction step will be resold in the online market; a deletion recommended bookmark extraction step of extracting, as deletion recommended bookmarks, bookmarks corresponding to the items whose resale degrees calculated in the resale degree calculation step are lower than a predetermined standard; a deletion-recommended bookmark notification step of notifying the user of the deletion-recommended bookmarks extracted in the deletion-recommended bookmark extraction step as a deletion recommendation notice urging the user to delete the bookmarks from the bookmarks; Equipped with.

[0012] A program according to a third aspect of the present invention comprises: Computer, a dormant bookmark extracting unit that extracts dormant bookmarks, which are bookmarks corresponding to items that are not currently on sale in the online market, from bookmarks registered at the user's request; a resale degree calculation unit that calculates a resale degree indicating a possibility that the item corresponding to the dormant bookmark extracted by the dormant bookmark extraction unit will be resold in the online market; a deletion recommended bookmark extraction unit that extracts, as deletion recommended bookmarks, bookmarks corresponding to the items whose resale degrees calculated by the resale degree calculation unit are lower than a predetermined standard; a deletion-recommended bookmark notification unit that notifies the user of the deletion-recommended bookmarks extracted by the deletion-recommended bookmark extraction unit as a deletion recommendation notification urging the user to delete the bookmarks from the bookmarks; Function as.

[0013] The program may be recorded on a non-transitory recording medium. The non-transitory recording medium can be distributed or sold independently of the computer. Here, a non-transitory recording medium refers to a tangible recording medium. Examples of non-transitory recording media include compact discs, flexible disks, hard disks, magneto-optical disks, digital video disks, magnetic tapes, and semiconductor memories. A transitory recording medium refers to the transmission medium (propagation signal) itself. Examples of transitory recording media include electrical signals, optical signals, and electromagnetic waves. A temporary storage area is an area for temporarily storing data and programs, such as volatile memory such as RAM (Random Access Memory). [Effects of the Invention]

[0014] According to the present invention, it is possible to provide a management device, a management method, and a program that can more appropriately manage bookmarks. [Brief explanation of the drawings]

[0015] [Figure 1] FIG. 2 is a diagram illustrating the relationship between a management device, an information terminal, and a sales server. [Figure 2] FIG. 2 is a block diagram illustrating an example of a management device. [Figure 3] FIG. 10 is an explanatory diagram illustrating an example of a bookmark list. [Figure 4] FIG. 10 is an explanatory diagram illustrating an example of timing information. [Figure 5] 10 is a flowchart illustrating an example of a bookmark registration request process and a bookmark management process. [Figure 6] FIG. 10 is an explanatory diagram showing a display example on an information terminal. [Figure 7] FIG. 10 is an explanatory diagram showing an example of a bookmark item that is unlikely to be resold. [Figure 8] FIG. 10 is an explanatory diagram showing an example of a bookmark item that is likely to be resold. [Figure 9] FIG. 10 is an explanatory diagram showing a display example on an information terminal. [Figure 10] FIG. 10 is an explanatory diagram showing a display example on an information terminal. [Figure 11] FIG. 10 is an explanatory diagram showing a display example on an information terminal. DETAILED DESCRIPTION OF THE INVENTION

[0016] (Overall composition) A management device, a management method, and a program according to an embodiment of the present invention will be described in detail with reference to the drawings. In the drawings, identical or corresponding parts are designated by the same reference numerals. As shown in FIG. 1, a management device 100 according to an embodiment of the present invention is communicatively connected to an information terminal 200 and a sales server 300 via a computer communication network 400 such as the Internet. In this embodiment, the management device 100 is a device that suggests to a user that they delete bookmarks corresponding to products or services (items) that are not currently being sold and are unlikely to be resold in the future, in order to organize their bookmark information.

[0017] The management device 100 is a computer such as a server. In response to a request from a user of the information terminal 200, the management device 100 has a function of registering information corresponding to products or services desired by the user as a bookmark, and also has a function of suggesting the deletion of bookmarks corresponding to products or services that are not currently on sale and are unlikely to be resold in the future. The functions of the management device 100 may be provided in the sales server 300.

[0018] The information terminal 200 is an information terminal (so-called computer) such as a smartphone, tablet, or PC (Personal Computer) used by a user who wishes to purchase a product or service sold over a network such as the Internet. The information terminal 200 has a function of requesting the management device 100 to register a bookmark corresponding to the desired product or service. The information terminal 200 also has a function of transmitting to the management device 100 a request to delete a bookmark that has been provided by the management device 100 and is recommended for deletion.

[0019] The sales server 300 is a computer such as a server that sells products and services via a computer communication network 400 such as the Internet. The sales server 300 has a function to process the purchase of products and services based on a request from the information terminal 200, i.e., a function to process payments in response to the request. The sales server 300 also has a function to provide necessary information as needed in response to a request from the management device 100.

[0020] (Functional configuration of management device) Next, the configuration of the management device 100 will be described with reference to FIG.

[0021] As shown in FIG. 2, the management device 100 includes a storage unit 110, a control unit 120, an input / output unit 130, a communication unit 140, and a system bus (not shown) that interconnects these units.

[0022] The storage unit 110 includes a ROM (Read Only Memory), a RAM (Random Access Memory), etc. The ROM stores a program 111 to be executed by the control unit 120, various data (not shown) required in advance for executing the program 111, a bookmark list 112, and timing information 113.

[0023] The program 111 is a program for executing a bookmark management process, which will be described later, and is stored in the storage unit 110 in advance.

[0024] The bookmark list 112 is a list of products, services (items), and the like registered as bookmarks for each user. Specifically, as shown in FIG. 3 , the bookmark list 112 includes at least item number information indicating the item number of the data, item ID information indicating the bookmarked product or service (item), retailer ID information indicating the retailer selling the item, retailer URL information indicating the retailer's URL (Universal Resource Identifier), and JAN (Japanese Article Number) code information assigned to each product or service. As shown in the bookmark list 112 of FIG. 3 , bookmarks in this embodiment are generated based on the item ID, not on the sales page of the item. Therefore, information such as the retailer ID of the retailer selling the item, the URL of the sales page, and the JAN code corresponding to the item can be obtained from the item ID. If the same item is sold by different retailers, the item IDs will be different. On the other hand, if the item IDs are different but the JAN codes are the same, it means that the same item is sold by different retailers. In the illustrated example, the items with item numbers 1 and 6 have different item IDs but the same JAN code, which means that the same item is sold by different retailers. Although this embodiment shows an example in which the bookmark list 112 is stored in the storage unit 110 of the management device 100, the bookmark list 112 may also be stored in the sales server 300. In this case, each time the management device 100 receives a bookmark registration request from the information terminal 200, the management device 100 may acquire the bookmark list 112 corresponding to the user from the sales server 300. In addition to the above, the bookmark list 112 also includes, for example, date and time information indicating the date and time when the bookmark was registered and category information indicating the category of the item.

[0025] Returning to FIG. 2 , timing information 113 is a list indicating the timings at which information about recommended bookmarks is notified to the user. Specifically, in this embodiment, timing information 113 is stored in advance in storage unit 110, and as shown in FIG. 4 , seven timings, timing 1 to timing 7, are set. Timing 1 indicates that information about recommended bookmarks is notified to the user when the number of bookmarks reaches 1001. Timing 2 indicates that information about recommended bookmarks is notified to the user when the number of bookmarks reaches 2001. Timing 3 indicates that information about recommended bookmarks is notified to the user when the number of bookmarks reaches 3001. Timing 4 indicates that information about recommended bookmarks is notified to the user when the number of bookmarks reaches 4001. Timing 5 indicates that information about recommended bookmarks is notified to the user when the number of bookmarks reaches 4501. Timing 6 indicates that information about recommended bookmarks is notified to the user when the number of bookmarks reaches 4701. Timing 7 indicates that information about bookmarks that have become recommended is notified to the user when the number of bookmarks is between 4901 and 5000. In addition to timings 1 to 7, more timings, such as timings 8 and 9, may be set. Furthermore, between timings 1 and 2, a timing such as timing 1.5 may be set, which notifies the user of information about bookmarks that have become recommended when the number of bookmarks reaches 1501. In other words, any number of timings may be set. That is, the number of timings does not have to be seven, and more or fewer timings may be set. In this embodiment, since the number of registered bookmarks is 5000, in the illustrated example, the timing information 113 is set so that the closer the number approaches the upper limit of 5000, the more timings the user is notified of information about bookmarks that have become recommended.

[0026] 2 is configured with a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), etc. Control unit 120 operates in accordance with program 111 stored in storage unit 110 and executes processing in accordance with program 111. Control unit 120 includes, as main functional units provided by program 111 stored in storage unit 110, notification timing determination unit 121, inactive bookmark extraction unit 122, resale degree calculation unit 123, deletion recommended bookmark extraction unit 124, recommended target determination unit 125, deletion recommended bookmark notification unit 126, bookmark deletion unit 127, and bookmark registration unit 128.

[0027] The notification timing determination unit 121 is a functional unit that determines whether it is time to notify the user of information about bookmarks that are recommended for deletion. Specifically, the notification timing determination unit 121 has a function of comparing the number of currently registered bookmarks with the number of bookmarks indicated by the timing information 113 stored in the storage unit 110, and determining whether it is time to notify the user of information about bookmarks that are recommended for deletion. For example, if the current number of bookmarks is 100, the notification timing determination unit 121 determines that it is not time to notify the user of information about bookmarks that are recommended for deletion. On the other hand, if the current number of bookmarks is 1001, the notification timing determination unit 121 determines that it is time to notify the user of information about bookmarks that are recommended for deletion. Note that the notification timing determination unit 121 determines the timing to notify the user of information about bookmarks that are recommended for deletion, and therefore corresponds to a timing determination unit. Furthermore, in this embodiment, the greater the number of registered bookmarks, the more frequently the timing for notifying the user of information about bookmarks that are recommended for deletion. In other words, the greater the number of registered bookmarks, the more likely it is that the user will be notified of information about bookmarks that are recommended for deletion.

[0028] The pause bookmark extraction unit 122 is a functional unit that extracts, as pause bookmarks, bookmarks corresponding to items that are not currently on sale among items bookmarked by the user. Specifically, the pause bookmark extraction unit 122 has a function of obtaining sales information indicating whether an item corresponding to each bookmark indicated in the bookmark list 112 stored in the storage unit 110 is currently on sale from the sales server 300, and extracting bookmark information corresponding to an item that is not currently on sale. For example, if the item corresponding to item number 4 shown in FIG. 3 is not currently on sale, the pause bookmark extraction unit 122 extracts, from the various information indicated in the bookmark list 112, information corresponding to item number 4 as pause bookmark information.

[0029] The resale degree calculation unit 123 shown in FIG. 2 is a functional unit that calculates the likelihood of resale of an item indicated by the inactive bookmark information extracted by the function of the inactive bookmark extraction unit 122. Specifically, the resale degree calculation unit 123 calculates a representative value of the interval between the discontinuation of sales and the resale of the item extracted by the inactive bookmark extraction unit 122. The resale degree calculation unit 123 calculates the resale degree, which indicates the likelihood of resale, so that if the interval between the last discontinuation of sales of the item and the present is longer than the representative value, the resale degree indicating the likelihood of resale is lower; and if the interval is shorter than the representative value, the resale degree is higher. It is assumed that the items extracted by the inactive bookmark extraction unit 122 have been sold and discontinued at least once. The representative value of the interval between discontinuation of sales and resale is, for example, the average, maximum, median, or mode of the interval between discontinuation of sales and resale. In addition, the resale degree calculation unit 123 may use artificial intelligence to predict the interval between the discontinuation of sales and the resale of each item based on past information, and calculate the resale degree (probability of resale). Note that the resale degree calculation unit 123 calculates the resale degree for all inactive bookmark information extracted by the function of the inactive bookmark extraction unit 122.

[0030] The recommended deletion bookmark extraction unit 124 is a functional unit that extracts bookmark information to be deleted as recommended deletion bookmark information based on the resale degree calculated by the resale degree calculation unit 123. Specifically, the recommended deletion bookmark extraction unit 124 has a function of extracting, as recommended deletion bookmark information, bookmark information corresponding to an item whose resale degree calculated by the resale degree calculation unit 123 is less than a predetermined recommended deletion value if the resale degree calculated by the resale degree calculation unit 123 is less than the predetermined recommended deletion value. The recommended deletion value can be set arbitrarily. In addition, in this embodiment, an example is shown in which, if the resale degree calculated by the resale degree calculation unit 123 is less than a predetermined recommended deletion value, bookmark information corresponding to an item whose resale degree is less than the recommended deletion value is extracted as recommended deletion bookmark information. However, bookmark information may be extracted as recommended deletion bookmark information if the resale degree is equal to or less than the recommended deletion value. Furthermore, the recommended deletion value may be a different value for each item, for example.

[0031] The recommendation target determination unit 125 is a functional unit that determines whether the bookmark information extracted by the deletion-recommended bookmark extraction unit 124 should be notified to the user as bookmark information recommended for deletion. Specifically, the recommendation target determination unit 125 determines whether the same item as the item indicated by the bookmark information extracted by the deletion-recommended bookmark extraction unit 124 is currently being sold at other stores based on information acquired from the sales server 300, and if the item is currently being sold at other stores, determines that the bookmark information is not a recommendation target. On the other hand, if the same item as the item indicated by the bookmark information extracted by the deletion-recommended bookmark extraction unit 124 is not currently being sold at any store, the recommendation target determination unit 125 determines that the bookmark information is a recommendation target. Note that the recommendation target determination unit 125 corresponds to the determination unit.

[0032] The deletion-recommended bookmark notification unit 126 is a functional unit that notifies the user of bookmark information determined to be subject to deletion by the function of the recommendation target determination unit 125. Specifically, the deletion-recommended bookmark notification unit 126 notifies the user of the bookmark information determined to be subject to deletion by the recommendation target determination unit 125 in the form of a deletion recommendation screen shown in FIG. 9 , which includes the current number of bookmarks and an operation button for deleting or not deleting the bookmark information. Note that, for example, if there are multiple pieces of bookmark information determined to be subject to recommendation by the function of the recommendation target determination unit 125, the deletion-recommended bookmark notification unit 126 may identify and notify the bookmark information with the oldest bookmark registration date as the notification target. Alternatively, the bookmark information with the lowest resale degree calculated by the resale degree calculation unit 123 may be the notification target. Furthermore, the number of bookmark information notified by the deletion-recommended bookmark notification unit 126 is not limited to one, but may be multiple. Furthermore, the number of notified pieces of bookmark information may be set according to the number of currently registered bookmarks. Specifically, the greater the number of currently registered bookmarks, the greater the number of notified bookmark information.

[0033] The bookmark deletion unit 127 is a functional unit that, based on a deletion request from a user, deletes bookmark information from the bookmark list 112. Specifically, the bookmark deletion unit 127 has a function of, based on receiving a deletion request transmitted to the management device 100 in response to a user operation on the information terminal 200, deleting the bookmark information indicated by the deletion request from the bookmark list 112 stored in the storage unit 110.

[0034] The bookmark registration unit 128 is a functional unit that registers bookmark information in the bookmark list 112 based on a bookmark registration request from a user. Specifically, the bookmark registration unit 128 has a function of registering bookmark information in the bookmark list 112 stored in the storage unit 110 based on the content of a bookmark registration request that is transmitted to the management device 100 when the user operates the information terminal 200.

[0035] The input / output unit 130 shown in FIG. 2 is a device that is made up of a keyboard, a mouse, a camera, a microphone, a liquid crystal display, an organic EL (Electro-Luminescence) display, and the like, and is used to input and output various types of data.

[0036] The communication unit 140 is a device that enables the management device 100 to communicate with other information terminals such as the information terminal 200 and the sales server 300 via the computer communication network 400. The configuration of the management device 100 has been described above.

[0037] (operation) Next, the operation of management device 100 and information terminal 200 will be described. Fig. 5 is a flowchart showing an example of a bookmark registration request process in information terminal 200 and a bookmark management process in management device 100. By performing the bookmark registration request process and bookmark management process in this embodiment, bookmark information corresponding to an item desired by the user is registered in bookmark list 112, and bookmark information recommended for deletion is notified to the user. First, the bookmark registration request process shown in Fig. 5 is started based on an operation by the user who is the owner of information terminal 200.

[0038] When the bookmark registration request process is started, first, a request for provision is made on the information terminal 200 side to request the registration of a bookmark (step S11). Specifically, in the process of step S11, when a user performs an operation such as pressing a bookmark button on the item viewing screen shown in Fig. 6, the information terminal 200 transmits a bookmark registration request for requesting the bookmark registration of the item to the management device 100. Note that the item viewing screen shown in Fig. 6 is a screen for items sold by the sales server 300, and may be provided by the sales server 300.

[0039] 5, upon receiving a bookmark registration request, the management device 100 starts a bookmark management process. When the bookmark management process starts, the control unit 120 determines whether the number of currently registered bookmarks has reached the upper limit (step S12). Specifically, in the process of step S12, the control unit 120 checks the bookmark list 112 corresponding to the user specified by the received bookmark registration request, and determines whether the number of bookmarks corresponding to the user is at the upper limit of 5,000.

[0040] If it is determined in the processing of step S12 that the number of bookmarks corresponding to the user is at the upper limit (step S12; Yes), that is, if it is determined that the number of registered bookmarks for the user is 5000, the control unit 120 issues an upper limit notification to notify the user that the number of bookmarks is at the upper limit (step S13), and ends the bookmark management processing. Specifically, in the processing of step S13, the control unit 120 sends an upper limit notification to the information terminal 200 that is the sender of the bookmark registration request, indicating that the number of bookmarks has reached the upper limit, that no more bookmarks can be registered, and that the bookmark needs to be deleted.

[0041] On the other hand, if it is determined in the processing of step S12 that the number of bookmarks corresponding to the user is not the upper limit (step S12; No), that is, if it is determined that the number of registered bookmarks for the user is less than 5000, the control unit 120 registers a bookmark using the function of the bookmark registration unit 128 (step S14). Specifically, in the processing of step S14, the bookmark registration unit 128 registers information such as the item ID, store ID, sales page URL, and JAN code included in the received bookmark registration request in the bookmark list 112 corresponding to the user.

[0042] After executing the process of step S14, the control unit 120 determines, using the function of the notification timing determination unit 121, whether it is time to notify the user of bookmarks recommended for deletion (step S15). Specifically, in the process of step S15, the notification timing determination unit 121 compares the number of currently registered bookmarks with the number of bookmarks stored in the storage unit 110 and indicated by the timing information 113 shown in FIG. 4, to determine whether it is time to notify the user of information about bookmarks recommended for deletion. For example, if the current number of bookmarks is 100, the notification timing determination unit 121 determines in the process of step S15 that it is not time to notify the user of information about bookmarks recommended for deletion because the current number of bookmarks does not match the number of bookmarks indicated by the timing information 113 shown in FIG. 4. On the other hand, if the current number of bookmarks is 1001, the notification timing determination unit 121 determines in the process of step S15 that it is time to notify the user of information about bookmarks recommended for deletion because the current number of bookmarks matches the number of bookmarks corresponding to timing 1 in the timing information 113 shown in FIG. 4.

[0043] If it is determined in the process of step S15 shown in FIG. 5 that it is not time to notify (step S15; No), the control unit 120 ends the bookmark management process. On the other hand, if it is determined in the process of step S15 that it is time to notify (step S15; Yes), the control unit 120 uses the function of the inactive bookmark extraction unit 122 to extract, as inactive bookmarks, bookmarks corresponding to items that are not currently on sale among the items bookmarked by the user (step S16). Specifically, in the process of step S16, the inactive bookmark extraction unit 122 acquires sales information indicating whether or not an item corresponding to each bookmark shown in the bookmark list 112 corresponding to the user is currently on sale from the sales server 300, and extracts bookmark information corresponding to the item that is not currently on sale. For example, if the item corresponding to item number 4 shown in FIG. 3 is not currently on sale, in the process of step S16, the inactive bookmark extraction unit 122 extracts information corresponding to item number 4 from the various information shown in the bookmark list 112 as inactive bookmark information. Note that multiple pieces of bookmark information may be extracted in the process of step S16.

[0044] After executing the process of step S16 shown in FIG. 5, the control unit 120 uses the function of the resale degree calculation unit 123 to calculate a resale degree, which indicates the likelihood of resale, for the item indicated by the suspended bookmark information extracted in the process of step S16 (step S17). Specifically, in the process of step S17, the resale degree calculation unit 123 calculates a representative value of the interval between the discontinuation of sales and the resale of the item extracted in the process of step S16. If the interval between the last discontinuation of sales of the item and the present is longer than the representative value, the resale degree, which indicates the likelihood of resale, is calculated to be low, and if the interval is shorter than the representative value, the resale degree, which indicates the likelihood of resale, is calculated to be high. For example, as shown in FIG. 7, if the interval between the discontinuation of sales and the resale is three months and the item has not been resold for more than six months since it was last sold, the resale degree calculation unit 123 calculates a low resale degree (calculated as less than the recommended deletion value) in the process of step S17. On the other hand, as shown in FIG. 8, if the interval between the discontinuation of sales and the resale is two months and the period from the last sale of the item to the present is less than two months, in the processing of step S17, the resale degree calculation unit 123 calculates the resale degree to be high (calculated as being equal to or higher than the recommended deletion value).

[0045] 5, the control unit 120 extracts bookmark information to be deleted as recommended bookmark information for deletion using the function of the recommended bookmark extraction unit 124 (step S18). Specifically, in the process of step S18, if the resale degree calculated in the process of step S17 is less than a preset recommended deletion value, the recommended bookmark extraction unit 124 extracts bookmark information corresponding to an item that is less than the recommended deletion value as recommended bookmark information for deletion.

[0046] After executing the process of step S18, the control unit 120 determines whether or not to notify the user of the bookmark information extracted in the process of step S18, that is, whether or not the bookmark information is a recommended target (step S19) using the function of the recommendation target determination unit 125. Specifically, in the process of step S19, the recommendation target determination unit 125 determines whether or not the same item as the item identified by the bookmark information extracted in the process of step S18 is currently being sold at another sales store, based on information acquired from the sales server 300, and if the item is currently being sold at another sales store, determines that it is not a recommended target.

[0047] If it is determined in the processing of step S19 that the item is not a recommended item (step S19; No), that is, if the same item as the item identified by the bookmark information extracted in the processing of step S18 is currently being sold at another sales store, the control unit 120 determines that the bookmark information extracted in the processing of step S18 is not a recommended item and terminates the bookmark management processing.

[0048] On the other hand, if it is determined in the process of step S19 that the bookmark information is a recommended item (step S19; Yes), that is, if the same item as the item identified by the bookmark information extracted in the process of step S18 is not currently being sold at any other retail store, the control unit 120 notifies the user of the recommended bookmark information using the function of the deletion-recommended bookmark notification unit 126 (step S20). Specifically, in the process of step S20, the deletion-recommended bookmark notification unit 126 generates a deletion recommendation screen shown in FIG. 9 , which includes the current number of bookmarks and an operation button for deleting or not deleting, and transmits the deletion recommendation screen to the information terminal 200. Note that if there are multiple pieces of bookmark information recommended in the process of step S19, in the process of step S20, the deletion-recommended bookmark notification unit 126 may identify the bookmark information with the oldest bookmark registration date as the notification target and transmit a deletion recommendation screen corresponding to the bookmark information. Alternatively, the deletion recommendation screen corresponding to the bookmark information with the lowest resale likelihood calculated in the process of step S17 may be transmitted. Furthermore, the number of bookmark information transmitted in the process of step S20 is not limited to one, and may be multiple. For example, a deletion recommendation screen including a different number of pieces of bookmark information may be transmitted depending on the currently registered number of bookmarks, so that the number of notifications increases in proportion to the currently registered number of bookmarks.

[0049] On the information terminal 200 side, when the deletion recommendation screen is received, the deletion recommendation screen shown in Fig. 9 is displayed. Then, when the user presses the "Delete" button shown in Fig. 9, the deletion request process shown in Fig. 5 is performed (step S21), and a deletion request is sent to the management device 100. After the process of step S21 is executed, the bookmark registration request process is terminated. Note that even when the "Do not delete" button is pressed, a notification that deletion will not be made is sent to the management device 100, and the bookmark registration request process and bookmark management process are terminated.

[0050] On the management device 100 side, when the deletion request is received, the control unit 120 uses the function of the bookmark deletion unit 127 to delete the bookmark information indicated by the deletion request from the bookmark list 112 (step S22), and ends the bookmark management process. Specifically, in the processing of step S22, the bookmark deletion unit 127 deletes the bookmark information indicated by the deletion request from the bookmark list 112 corresponding to the user identified by the received deletion request.

[0051] The above is the operation of the management device 100 and the information terminal 200. As described above, the management device 100 according to this embodiment can delete bookmarks corresponding to items that are not currently being sold and are unlikely to be resold before the number of registered bookmarks reaches the upper limit, thereby enabling more efficient bookmark management. Furthermore, even if an item corresponds to an inactive bookmark, if the item is currently being sold at another store, the deletion is not performed. This allows for more efficient bookmark management without hindering user purchases. Furthermore, because the bookmark information notified as a deletion recommendation changes depending on the currently registered number of bookmarks, the possibility of the number of registered bookmarks reaching the upper limit can be reduced, enabling more efficient bookmark management. Furthermore, because the deletion recommendation is notified after the user has completed an operation, such as adding a bookmark, it is possible to prevent the user's current work from being interrupted.

[0052] (Variation) The present invention is not limited to the above-described embodiment, and various modifications and applications are possible. For example, the management device 100 and the information terminal 200 according to the above-described embodiment do not need to have all of the technical features described above, but may have some of the configurations described in the above-described embodiment so as to solve at least one problem in the prior art. Furthermore, at least a portion of each of the following modifications may be combined.

[0053] In the above embodiment, an example was shown in which the user was notified of bookmark information recommended for deletion in the bookmark registration process shown in FIG. 5. In addition, for example, a retailer may also be notified that a bookmark registrant exists. Specifically, the bookmark information recommended in the process of step S19 in FIG. 5 may also be notified to the retailer indicated by the bookmark information, to confirm whether or not there are plans to resell the bookmark information. In this case, before executing the process of step S20, information on whether or not there are plans to resell the bookmark information may be obtained from the retailer, and only if there are no plans to resell the bookmark information may the process of step S20 be executed and a deletion recommendation screen be sent. This allows more accurate information to be reflected, enabling more optimal bookmark management.

[0054] In the above embodiment, the example of setting a bookmark corresponding to an item that is not currently for sale as a dormant bookmark is shown, but this is just an example. Dormant bookmarks also include bookmarks corresponding to items that do not have a sales page or that have a sales page but are out of stock.

[0055] In the above embodiment, the process of steps S17 and S18 in FIG. 5 extracts bookmark information corresponding to items with values ​​less than the recommended deletion value as recommended bookmark information for deletion. However, this is merely an example. Alternatively, for example, artificial intelligence may be used to determine whether to recommend bookmark information corresponding to an item for deletion based on a database storing the interval between the discontinuation of sales and the resale rate for each item. That is, the process of predicting whether an item has a high resale rate and determining whether to recommend bookmark information corresponding to the item for deletion may be performed using artificial intelligence. Furthermore, the results of whether or not the item has been deleted by the user may be stored as new learning data, and recommended bookmark information for deletion may be notified based on the user's preferences. For example, if bookmark information corresponding to stationery items and bookmark information corresponding to beverage items are notified as recommended bookmarks for deletion, and the user receiving the notification requests a higher rate of deletion requests for bookmark information corresponding to stationery items than for beverage items, the management device 100 may notify the bookmark information corresponding to stationery items as recommended for deletion at a higher rate than the bookmark information corresponding to beverage items.

[0056] 5, the resale degree of the item indicated by the inactive bookmark information is calculated by the function of the resale degree calculation unit 123. However, the resale degree is not limited to the resale degree at the retailer indicated by the inactive bookmark, and may include the possibility of resale at a retailer other than the retailer indicated by the inactive bookmark. In other words, it may be the resale degree of the item at all retailers in the online market.

[0057] Furthermore, in the above embodiment, when a deletion request is transmitted in the process of step S21 in FIG. 5, the bookmark information indicated by the deletion request is deleted. However, this is merely an example. For example, bookmark information may be deleted based on settings previously made by the user. For example, the settings previously made by the user may include various deletion conditions, such as the item category and the bookmark registration date and time. Bookmark information that satisfies the deletion conditions may be deleted after the process of step S19 returns "Yes." This allows bookmarks to be deleted without requiring any user operation, allowing for more convenient bookmark management.

[0058] In the above embodiment, the deletion recommendation screen shown in FIG. 9 is generated and transmitted to the information terminal 200 in the process of step S20 in FIG. 5, but this is merely an example. In the process of step S20, the deletion recommendation bookmark may be notified, for example, by email or an application notification. Furthermore, when notifying multiple bookmark information as deletion recommended bookmarks in the process of step S20 in FIG. 5, instead of the deletion recommendation screen shown in FIG. 9, deletion recommendation screens shown in FIGS. 10 and 11 may be generated and transmitted to the information terminal 200. The examples shown in FIGS. 10 and 11 show an example in which a list of multiple bookmark information is displayed so that the user can select the bookmark information that the user wishes to delete. In the process of step S22 in FIG. 5, the checked bookmark information may be deleted from the bookmark list 112 by pressing the "Delete checked bookmarks" button shown in FIG. 11.

[0059] The management device 100 and information terminal 200 according to the above-described embodiments can be realized using a normal computer, rather than a dedicated device. For example, the management device 100 that executes the above-described processes may be configured by installing a program for executing any of the above processes on a computer from a recording medium storing the program on the computer. Also, one management device 100 and information terminal 200 may be configured by multiple computers operating in cooperation with each other.

[0060] Furthermore, when the above-mentioned functions are realized by sharing the functions between an OS (Operating System) and an application, or by cooperation between the OS and the application, only the parts other than the OS may be stored on the medium.

[0061] It is also possible to superimpose the program on a carrier wave and distribute it via a communication network. For example, the program may be posted on a bulletin board system (BBS) on the communication network and distributed via the network. These programs may then be started and run under the control of an operating system in the same way as other application programs, thereby enabling the above-mentioned processing to be performed.

[0062] Various aspects of the present disclosure are summarized below as appendices.

[0063] (Appendix 1) a dormant bookmark extracting unit that extracts dormant bookmarks, which are bookmarks corresponding to items that are not currently on sale in the online market, from bookmarks registered at the request of a user; a resale degree calculation unit that calculates a resale degree indicating a possibility that the item corresponding to the inactive bookmark extracted by the inactive bookmark extraction unit will be resold in the online market; a deletion recommended bookmark extraction unit that extracts, as deletion recommended bookmarks, bookmarks corresponding to the items whose resale degrees calculated by the resale degree calculation unit are lower than a predetermined standard; a deletion-recommended bookmark notification unit that notifies the user of the deletion-recommended bookmarks extracted by the deletion-recommended bookmark extraction unit as a deletion recommendation notification that encourages the user to delete the bookmarks from the bookmarks; A management device comprising:

[0064] (Appendix 2) a bookmark deletion unit that deletes the deletion-recommended bookmarks extracted by the deletion-recommended bookmark extraction unit from the bookmarks; The management device according to Supplementary Note 1 further comprises:

[0065] (Appendix 3) a determination unit that determines whether the item indicated by the deletion-recommended bookmark extracted by the deletion-recommended bookmark extraction unit is on sale at a retailer other than the retailer identified by the deletion-recommended bookmark, the deletion-recommended bookmark notification unit notifies the user, as the deletion recommendation notification, of the deletion-recommended bookmark extracted by the deletion-recommended bookmark extraction unit, the deletion-recommended bookmark corresponding to the item that has been determined by the determination unit to be not on sale at a retailer other than the retailer identified by the deletion-recommended bookmark. 3. The management device according to claim 1 or 2.

[0066] (Appendix 4) a timing determination unit that determines a timing for the deletion recommended bookmark notification unit to notify the deletion recommended bookmark; The timing determination unit determining a timing for issuing the deletion recommendation notice according to the number of bookmarks registered in the bookmark list; The more the number of bookmarks registered in the bookmarks, the higher the probability that it is time to notify the deletion recommendation notice. 4. The management device according to any one of claims 1 to 3.

[0067] (Appendix 5) the deletion recommended bookmark extraction unit extracts more deletion recommended bookmarks as the number of bookmarks registered in the bookmark list increases; 5. The management device according to any one of appendices 1 to 4.

[0068] (Appendix 6) A management method by a management device, a dormant bookmark extraction step of extracting dormant bookmarks, which are bookmarks corresponding to items not currently being sold in the online market, from bookmarks registered at the user's request; a resale degree calculation step of calculating a resale degree indicating a possibility that the item corresponding to the inactive bookmark extracted in the inactive bookmark extraction step will be resold in the online market; a deletion recommended bookmark extraction step of extracting, as deletion recommended bookmarks, bookmarks corresponding to the items whose resale degrees calculated in the resale degree calculation step are lower than a predetermined standard; a deletion-recommended bookmark notification step of notifying the user of the deletion-recommended bookmarks extracted in the deletion-recommended bookmark extraction step as a deletion recommendation notice urging the user to delete the bookmarks from the bookmarks; A management method comprising:

[0069] (Appendix 7) Computer, a dormant bookmark extracting unit that extracts dormant bookmarks, which are bookmarks corresponding to items that are not currently on sale in the online market, from bookmarks registered at the user's request; a resale degree calculation unit that calculates a resale degree indicating a possibility that the item corresponding to the dormant bookmark extracted by the dormant bookmark extraction unit will be resold in the online market; a deletion recommended bookmark extraction unit that extracts, as deletion recommended bookmarks, bookmarks corresponding to the items whose resale degrees calculated by the resale degree calculation unit are lower than a predetermined standard; a deletion-recommended bookmark notification unit that notifies the user of the deletion-recommended bookmarks extracted by the deletion-recommended bookmark extraction unit as a deletion recommendation notification urging the user to delete the bookmarks from the bookmarks; A program that functions as a

[0070] The present disclosure allows various embodiments and modifications without departing from the broad spirit and scope of the present disclosure. Furthermore, the above-described embodiments are intended to illustrate the present disclosure and do not limit the scope of the present disclosure. That is, the scope of the present disclosure is defined by the claims, not the embodiments. Various modifications made within the scope of the claims and the meaning of equivalent disclosures are considered to be within the scope of the present disclosure. [Industrial Applicability]

[0071] According to the present invention, it is possible to provide a management device, a management method, and a program that can more appropriately manage bookmarks. [Explanation of symbols]

[0072] 100 Management device 110 Storage section 111 Program 112 Bookmarks List 113 Timing Information 120 control section 121 Notification timing determination unit 122 Pause bookmark extraction unit 123 Resale Degree Calculation Section 124 Extraction of recommended bookmarks for deletion 125 Recommendation target determination unit 126 Delete recommended bookmark notification section 127 Bookmark deletion section 128 Bookmark Registration Section 130 Input / output section 140 Communications Department 200 Information terminal 300 Sales Server 400 Computer Network

Claims

1. a dormant bookmark extracting unit that extracts dormant bookmarks, which are bookmarks corresponding to items that are not currently on sale in the online market, from bookmarks registered at the request of a user; a resale degree calculation unit that calculates a resale degree indicating a possibility that the item corresponding to the inactive bookmark extracted by the inactive bookmark extraction unit will be resold in the online market; a deletion recommended bookmark extraction unit that extracts, as deletion recommended bookmarks, bookmarks corresponding to the items whose resale degrees calculated by the resale degree calculation unit are lower than a predetermined standard; a deletion-recommended bookmark notification unit that notifies the user of the deletion-recommended bookmarks extracted by the deletion-recommended bookmark extraction unit as a deletion recommendation notification that encourages the user to delete the bookmarks from the bookmarks; A management device comprising:

2. a bookmark deletion unit that deletes the deletion-recommended bookmarks extracted by the deletion-recommended bookmark extraction unit from the bookmarks; The management device according to claim 1 further comprises:

3. a determination unit that determines whether the item indicated by the deletion-recommended bookmark extracted by the deletion-recommended bookmark extraction unit is on sale at a retailer other than the retailer identified by the deletion-recommended bookmark, the deletion-recommended bookmark notification unit notifies the user, as the deletion recommendation notification, of the deletion-recommended bookmark extracted by the deletion-recommended bookmark extraction unit, the deletion-recommended bookmark corresponding to the item that has been determined by the determination unit to be not on sale at a retailer other than the retailer identified by the deletion-recommended bookmark. The management device according to claim 1 or 2.

4. a timing determination unit that determines a timing for the deletion recommended bookmark notification unit to notify the deletion recommended bookmark; The timing determination unit determining a timing for issuing the deletion recommendation notice according to the number of bookmarks registered in the bookmark list; The more the number of bookmarks registered in the bookmarks, the higher the probability that it is time to notify the deletion recommendation notice. The management device according to claim 1 or 2.

5. the deletion recommended bookmark extraction unit extracts more deletion recommended bookmarks as the number of bookmarks registered in the bookmark list increases; 3. The management device according to claim 1 or 2.

6. A management method by a management device, a dormant bookmark extraction step of extracting dormant bookmarks, which are bookmarks corresponding to items not currently being sold in the online market, from bookmarks registered at the user's request; a resale degree calculation step of calculating a resale degree indicating a possibility that the item corresponding to the inactive bookmark extracted in the inactive bookmark extraction step will be resold in the online market; a deletion recommended bookmark extraction step of extracting, as deletion recommended bookmarks, bookmarks corresponding to the items whose resale degrees calculated in the resale degree calculation step are lower than a predetermined standard; a deletion-recommended bookmark notification step of notifying the user of the deletion-recommended bookmarks extracted in the deletion-recommended bookmark extraction step as a deletion recommendation notice urging the user to delete the bookmarks from the bookmarks; A management method comprising:

7. Computer, a dormant bookmark extracting unit that extracts dormant bookmarks, which are bookmarks corresponding to items that are not currently on sale in the online market, from bookmarks registered at the user's request; a resale degree calculation unit that calculates a resale degree indicating a possibility that the item corresponding to the dormant bookmark extracted by the dormant bookmark extraction unit will be resold in the online market; a deletion recommended bookmark extraction unit that extracts, as deletion recommended bookmarks, bookmarks corresponding to the items whose resale degrees calculated by the resale degree calculation unit are lower than a predetermined standard; a deletion-recommended bookmark notification unit that notifies the user of the deletion-recommended bookmarks extracted by the deletion-recommended bookmark extraction unit as a deletion recommendation notification urging the user to delete the bookmarks from the bookmarks; A program that functions as a

Images