Method, device, apparatus and computer-readable medium for sending recommended item information

Abstract

The embodiments of the present disclosure disclose a method, device, equipment and computer-readable medium for sending recommended item information. A specific implementation of the method includes: in response to receiving a user's selection operation information record for a target item, obtaining a set of information on items to be cleared and a set of information on new items of the corresponding target store, wherein the target store corresponds to the target item; generating first recommended item information based on the item information of the target item and the set of information on items to be cleared; in response to the daily item turnover volume corresponding to the target item being greater than or equal to a preset turnover volume threshold, generating second recommended item information based on the item information and the set of information on new items; sending the first recommended item information and the second recommended item information to the user terminal of the corresponding user, so that the user terminal displays the first recommended item information and the second recommended item information. This implementation increases the turnover volume of clearance items and new items, thereby improving the space utilization rate of the warehouse.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of computer technology, and in particular to a method, device, apparatus, and computer-readable medium for sending recommended item information. Background Art

[0002] With the development of the Internet, more and more users choose to order items on online platforms. For stores, due to the different attributes of items, the turnover rates of various items are different, resulting in some items being stockpiled in warehouses and needing to be cleared. In addition, for new products, their turnover needs to be increased. At present, stores usually choose to display new product collections and collections of items to be cleared on the store homepage. When users place orders for items, they often browse the items in the store directly and select items with higher turnover rates for ordering.

[0003] However, when the above method is used to display new products and items to be cleared, the following technical problems often occur:

[0004] First, the browsing rate of new products and clearance items displayed on the store homepage is low. In addition, when users browse the new products and clearance items displayed on the store homepage, they need to spend time to select from the new products and clearance items, resulting in a low turnover of clearance items and new products. Clearance items and new products are piled up in the warehouse, resulting in low space utilization of the warehouse.

[0005] Second, the displayed clearance items are less relevant to user needs, resulting in a low order rate for the clearance items that users browse, which fails to increase the turnover of clearance items. The clearance items are further piled up in the warehouse, causing item loss.

[0006] Third, relevant staff are required to pre-set the bundling type for each item to be cleared. The preset bundling type has a low correlation with the items selected by the user, resulting in a low order rate for the items to be cleared that the user browses. This fails to increase the turnover of the items to be cleared, and the items to be cleared are further piled up in the warehouse, causing item loss.

[0007] Fourth, the new products on display have a low relevance to user needs, resulting in a low order rate for the new products browsed by users. This makes it impossible to increase the turnover of new products, and new products are further piled up in warehouses, causing product loss. Summary of the invention

[0008] The content of this disclosure is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this disclosure is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0009] Some embodiments of the present disclosure propose a method, device, electronic device, and computer-readable medium for sending recommended item information to solve one or more of the technical problems mentioned in the above background technology section.

[0010] In a first aspect, some embodiments of the present disclosure provide a method for sending recommended item information, the method comprising: in response to receiving a user's selection operation information record for a target item, obtaining a set of information on items to be cleared and a set of information on new items of a corresponding target store, wherein the target store corresponds to the target item; generating first recommended item information based on the item information of the target item and the set of information on items to be cleared; in response to a daily item turnover volume corresponding to the target item being greater than or equal to a preset turnover volume threshold, generating second recommended item information based on the item information and the set of information on new items; sending the first recommended item information and the second recommended item information to a user terminal of the corresponding user, so that the user terminal displays the first recommended item information and the second recommended item information.

[0011] In a second aspect, some embodiments of the present disclosure provide a device for sending recommended item information, the device comprising: an acquisition unit, configured to, in response to receiving a user's selection operation information record for a target item, acquire a set of information on items to be cleared and a set of information on new items of a corresponding target store, wherein the target store corresponds to the target item; a first generation unit, configured to generate first recommended item information based on the item information of the target item and the set of information on items to be cleared; a second generation unit, configured to, in response to a single-day item turnover volume corresponding to the target item being greater than or equal to a preset turnover volume threshold, generate second recommended item information based on the item information and the set of information on new items; a sending unit, configured to send the first recommended item information and the second recommended item information to a user terminal of the corresponding user, so that the user terminal displays the first recommended item information and the second recommended item information.

[0012] In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation manner of the above-mentioned first aspect.

[0013] In a fourth aspect, some embodiments of the present disclosure provide a computer-readable medium having a computer program stored thereon, wherein when the program is executed by a processor, the method described in any implementation manner of the above-mentioned first aspect is implemented.

[0014] The above-mentioned embodiments of the present disclosure have the following beneficial effects: through the recommended item information sending method of some embodiments of the present disclosure, the backlog of items to be cleared and new products in the warehouse is reduced, and the space utilization rate of the warehouse is improved. Specifically, the reason for the backlog of items to be cleared and new products in the warehouse and the low space utilization rate of the warehouse is that the user's browsing rate of the new products and items to be cleared displayed on the store homepage is low. In addition, when the user browses the new product collection and the collection of items to be cleared displayed on the store homepage, the user needs to spend time selecting from the new product collection and the collection of items to be cleared, resulting in a low turnover of items to be cleared and new products, and the backlog of items to be cleared and new products in the warehouse, resulting in a low space utilization rate of the warehouse. Based on this, the recommended item information sending method of some embodiments of the present disclosure, first, in response to receiving the user's selection operation information record for the target item, obtains the information set of items to be cleared and the information set of new items corresponding to the target store. Then, according to the item information of the target item and the information set of items to be cleared, the first recommended item information is generated. Thus, the item information representing the recommended items to be cleared can be obtained, so that the item information of the recommended items to be cleared can be displayed after the user selects the target item, which increases the browsing rate of the items to be cleared, avoids the user spending time selecting in the set of items to be cleared in the target store, and saves the user's selection time. Secondly, in response to the single-day item turnover corresponding to the target item being greater than or equal to the preset turnover threshold, the second recommended item information is generated according to the item information and the new item information set. Thus, when the single-day item turnover corresponding to the target item is greater than or equal to the preset turnover threshold, the item information representing the recommended new product can be obtained, so that the target item corresponding to the generated second recommended item information is an item with a high single-day item turnover, so that the item information of the recommended new product can be displayed after the user selects the target item, which increases the browsing rate of the new product, avoids the user spending time selecting in the set of new products in the target store, and saves the user's selection time. Finally, the first recommended item information and the second recommended item information are sent to the user terminal of the corresponding user, so that the user terminal displays the first recommended item information and the second recommended item information. As a result, the user can learn about clearance items and new products after selecting the target item. Because the first recommended item information and the second recommended item information are generated and sent to the user terminal, the user terminal displays the first recommended item information and the second recommended item information after the user selects the target item, thereby increasing the browsing rate of the clearance items corresponding to the first recommended item information and the new products corresponding to the second recommended item information.Furthermore, because only the clearance items corresponding to the first recommended item information and the new products corresponding to the second recommended item information are displayed, users do not need to spend time selecting from the new product collection and the clearance item collection, which increases the user's order rate for the displayed clearance items and new products, thereby increasing the turnover of clearance items and new products, reducing the backlog of clearance items and new products in the warehouse, and thus improving the space utilization rate of the warehouse. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that components and elements are not necessarily drawn to scale.

[0016] Figure 1 is a schematic diagram of an application scenario of the method for sending recommended item information in some embodiments of the present disclosure;

[0017] Figure 2 is a flow chart of some embodiments of the method for sending recommended item information according to the present disclosure;

[0018] Figure 3 is a flow chart of other embodiments of the method for sending recommended item information according to the present disclosure;

[0019] Figure 4 is a schematic diagram of the structure of some embodiments of the device for sending recommended item information according to the present disclosure;

[0020] Figure 5 It is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. DETAILED DESCRIPTION

[0021] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0022] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0023] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0024] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0025] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0026] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0027] Figure 1 It is a schematic diagram of an application scenario of the method for sending recommended item information in some embodiments of the present disclosure.

[0028] exist Figure 1 In the application scenario, first, the computing device 101 can obtain the to-be-cleared items information set 102 and the new items information set 103 of the corresponding target store in response to receiving the user's selection operation information record for the target item. Among them, the target store corresponds to the target item. Then, the computing device 101 can generate the first recommended item information 105 based on the item information 104 of the target item and the to-be-cleared items information set 102. Afterwards, the computing device 101 can generate the second recommended item information 106 based on the item information 104 and the new items information set 103 in response to the single-day item turnover volume corresponding to the target item being greater than or equal to the preset turnover volume threshold. Then, the computing device 101 can send the first recommended item information 105 and the second recommended item information 106 to the user terminal 107 of the corresponding user, so that the user terminal 107 displays the first recommended item information 105 and the second recommended item information 106.

[0029] It should be noted that the computing device 101 can be hardware or software. When the computing device is hardware, it can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or as a single server or a single terminal device. When the computing device is embodied as software, it can be installed in the hardware devices listed above. It can be implemented as multiple software or software modules for providing distributed services, or as a single software or software module. No specific limitation is made here.

[0030] It should be understood that Figure 1The number of computing devices in the embodiment is only illustrative. Any number of computing devices may be provided according to implementation requirements.

[0031] Continue to refer Figure 2 , shows a process 200 of some embodiments of the method for sending recommended item information according to the present disclosure. The method for sending recommended item information includes the following steps:

[0032] Step 201 , in response to receiving a user's selection operation information record for a target item, obtaining a to-be-cleared item information set and a new item information set of a corresponding target store.

[0033] In some embodiments, the execution subject of the method for sending recommended item information (such as Figure 1The computing device 101 shown in response to receiving the user's selection operation information record for the target item, can obtain the to-be-cleared items information set and the new items information set of the corresponding target store through a wired connection method or a wireless connection method. Among them, the above-mentioned target store corresponds to the above-mentioned target item. It can be understood that the above-mentioned target item is an item circulated (sold) in the target store. The above-mentioned selection operation information record can be an operation information record that characterizes the selected target item. For example, when the above-mentioned selection operation information record is "1", it can be characterized that the target item has been selected. The above-mentioned target store can be an online store where the user selects the item. The to-be-cleared items information in the above-mentioned to-be-cleared items information set can be the item information of the to-be-cleared items in the above-mentioned target store. The to-be-cleared items information in the above-mentioned to-be-cleared items information set can include but is not limited to: to-be-cleared items identification, to-be-cleared items name, to-be-cleared items picture, to-be-cleared items value, to-be-cleared items shelf life, to-be-cleared items production date, to-be-cleared items category. The above-mentioned to-be-cleared items can be items that need to be cleared. The above-mentioned identification of the item to be cleared can be used to uniquely identify the item to be cleared. The above-mentioned name of the item to be cleared can be the name of the item to be cleared. The above-mentioned picture of the item to be cleared can be the picture of the item to be cleared. The above-mentioned value of the item to be cleared can be the value of the item to be cleared. The shelf life of the item to be cleared can be the shelf life of the item to be cleared. The above-mentioned production date of the item to be cleared can be the production date of the item to be cleared. The above-mentioned category of the item to be cleared can be the category of the item to be cleared. The new item information in the above-mentioned new item information set can be the item information of a new product. The above-mentioned new product can be a newly-listed item. The new item information in the above-mentioned new item information set can include but is not limited to: a new item identification, a new item name, a new item picture, a new item value, a new item shelf life, a new item production date, and a new item category. The above-mentioned new item identification can be used to uniquely identify a new product. The above-mentioned new item name can be the name of the new product. The above-mentioned new item value can be the value of the new product. The shelf life of the new item may be the shelf life of the new product. The production date of the new item may be the production date of the new product. The category of the new item may be the category of the new product. It should be noted that the wireless connection method may include but is not limited to 3G / 4G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other wireless connection methods currently known or to be developed in the future.

[0034] Step 202: Generate first recommended item information based on the item information of the target item and the set of information of items to be cleared out.

[0035] In some embodiments, the execution entity may generate the first recommended item information based on the item information of the target item and the set of information on the items to be cleared. The item information may be the item information of the target item in the target store. For example, the item information of the target item may include but is not limited to: the name of the target item, the identifier of the target item, the value of the target item, and the specification identifier of the target item. The target item identifier may be used to uniquely identify the target item. The item identifiers of the same item are the same. The target item specification identifier may be used to characterize the specifications of the target item. For example, when the specification identifier of the target item is "s", it can be characterized that the specification of the target item is 50ml. When the specification identifier of the target item is "m", it can be characterized that the specification of the target item is 100ml.

[0036] In practice, first, the execution subject may select the information of the items to be cleared with the shortest shelf life from the information set of the items to be cleared as the first recommended item information. Then, the first recommended item information and the preset time corpus of the items to be cleared may be combined into the first recommended item information. Among them, the preset time of the items to be cleared included in the preset time corpus of the items to be cleared may represent the time from the end of the clearance activity to the end of the clearance activity. For example, the preset time corpus of the items to be cleared may be "[preset time of the items to be cleared] from the end of the clearance activity". The specific setting of the preset time of the items to be cleared included in the preset time corpus of the items to be cleared may be set by relevant staff. Thus, the item information representing the recommended items to be cleared may be obtained, so that the item information of the recommended items to be cleared may be displayed after the user selects the target item, thereby increasing the browsing rate of the items to be cleared, avoiding the user from spending time selecting from the set of items to be cleared in the target store, and saving the user's selection time.

[0037] In some optional implementations of some embodiments, in the first step, the execution subject may determine at least one long-tail keyword corresponding to each item to be cleared in the item to be cleared information set, and obtain a long-tail keyword set. In practice, the execution subject may use a third-party long-tail keyword mining tool to mine each item to be cleared in the item to be cleared information set, so as to determine at least one long-tail keyword corresponding to each item to be cleared in the item to be cleared information set, and obtain a long-tail keyword set. Thus, a long-tail keyword set with a more detailed description and more refined positioning of the items to be cleared can be obtained.

[0038] In the second step, the execution subject can determine the target user group corresponding to each item to be cleared in the item to be cleared information set according to the store's historical order set, and obtain a target user group set. The target user group can be individual users of the same type. For example, the age type of each user included in the target user group is the same, all of which are middle-aged age types (40-55 years old). Among them, the target users included in each target user group in the target user group set can be represented by a target user identifier. Among them, the target user group can be characterized in the form of user tags. The user tags may include but are not limited to: user attribute tags, user behavior tags. Here, the specific definitions of user attribute tags and user behavior tags are not limited. For example, the user tags of the target user group can be: user attribute tags are [gender: female, age: 20-35 years old, region: 1-2 tier cities]. User behavior tags are: [value reduction sensitivity: high, user stickiness: high, consumer credit level: high]. In practice, in the first sub-step, for each item to be cleared in the item to be cleared information set, the execution subject may select the store historical orders including the items to be cleared corresponding to the item to be cleared from the store historical order set as the historical orders to be cleared, and obtain the historical order set to be cleared. In the second sub-step, the user corresponding to each historical order to be cleared in the historical order set to be cleared may be determined as the historical order user to be cleared, and obtain the historical order user set to be cleared. In the third sub-step, the historical user attribute label and the historical user behavior label corresponding to each historical order user to be cleared in the historical order user set to be cleared may be obtained from the database, and the historical user attribute label set and the historical user behavior label set may be obtained. Among them, the database may store the historical user attribute label and the historical user behavior label of each user. In the fourth sub-step, the user identifier of the user whose user attribute label is the same as any one of the historical user attribute labels in the historical user attribute label set and whose user behavior label is the same as any one of the historical user behavior labels in the historical user behavior label set may be obtained from the database, and the obtained user identifier may be determined as the target user group corresponding to the item to be cleared. Thus, a target user group set that characterizes user attributes and user behaviors can be obtained.

[0039] In the third step, the execution entity may determine the item description information included in each item to be cleared in the item information set to obtain the item description information set. The item description information may be information describing the item function of the item to be cleared. For example, when the item to be cleared is toothpaste, the item description information may be "dental cleaning product, recommended to be used with a toothbrush". Thus, the item description information set characterizing the item function of each item to be cleared may be obtained.

[0040] In the fourth step, the execution subject may select the corresponding item information of the to-be-cleared items whose item categories are different from the item categories of the target items from the to-be-cleared items information set as the collocation item information to obtain the collocation item information set. Thus, the collocation item information set representing the item categories that are different from the item categories of the target items may be obtained.

[0041] In the fifth step, the execution subject may select the collocation item information that meets the first preset item recommendation condition from the collocation item information set as the first item information to be recommended based on the long-tail keyword set, the target user group set and the item description information set. The first preset item recommendation condition may be that the long-tail keyword corresponding to the collocation item information and the long-tail keyword corresponding to the target item and the target user group and the user group corresponding to the target item have the highest overlap. Thus, the first item information to be recommended representing the first item to be recommended can be obtained.

[0042] The first step to the fifth step mentioned above, as an inventive point of an embodiment of the present disclosure, solves the second technical problem mentioned in the background technology, "The obtained clearance items have a low correlation with user needs, which leads to users not placing orders for clearance items, and the turnover of clearance items cannot be increased. Clearance items are further accumulated in the warehouse, causing item loss." The factors that lead to the inability to increase the turnover of clearance items, further accumulation of clearance items in the warehouse, and item loss are as follows: The obtained clearance items have a low correlation with user needs. If the above factors are solved, the effect of increasing the probability of users placing orders for clearance items can be achieved, thereby increasing the turnover of clearance items, reducing the backlog of clearance items in the warehouse, and thus avoiding item loss. In order to achieve this effect, the present disclosure determines the first proposed recommended item information by determining a set of combinable item information, so that users can obtain clearance items related to the target item when settling the target item, thereby increasing the turnover of the clearance items. Therefore, the backlog of clearance items in the warehouse can be reduced, thereby reducing item loss.

[0043] In the sixth step, the execution subject can determine the quantity bundling class as the recommended bundling type in response to the first proposed recommended item identifier being the same as the target item identifier. The first proposed recommended item information includes the first proposed recommended item identifier, the first proposed recommended item name, and the first proposed recommended item specification identifier. The item information of the target item includes the target item identifier, the target item name, and the target item specification identifier. The first proposed recommended item identifier can be used to uniquely identify the proposed recommended item. The first proposed recommended item specification identifier can be used to characterize the specifications of the proposed recommended item. For example, when the specification identifier of the first proposed recommended item is "s", it can be characterized that the specification of the proposed item is 50ml. When the specification identifier of the first proposed recommended item is "m", it can be characterized that the specification of the proposed item is 100ml. The quantity bundling class can characterize that the items to be cleared will be bundled and circulated with the target item in a certain quantity. Thus, the recommended bundling type can be determined as the quantity bundling class to facilitate the generation of the first recommended item information.

[0044] In step 7, the execution subject can determine the gift bundle type as the recommended bundle type in response to the first proposed recommended item name being the same as the target item name, and the first proposed recommended item specification identifier being different from the target item specification identifier. Thus, the recommended bundle type can be determined as the gift bundle type, so as to facilitate the generation of the first recommended item information.

[0045] In the eighth step, the execution subject may determine the combination package category as the recommended bundling type in response to the first proposed item description information corresponding to the first proposed item information and the target item description information satisfying the preset complementary condition. The target item description information corresponds to the target item. The target item description information may be information describing the item function of the target item. The preset complementary condition may be that the item function described by the target item description information includes the first proposed item name included in the first proposed item information, and the item function described by the first proposed item description information includes the target item name included in the target item information. Thus, the target item and the proposed item may be bundled in a combination package. Thus, the recommended bundling type may be determined as the combination package category to facilitate the generation of the first recommended item information.

[0046] In the ninth step, the execution subject may generate the first recommended item information according to the first proposed recommended item information and the determined recommended bundling type. In practice, in the first sub-step, the execution subject may determine the first proposed recommended item modification value corresponding to the first proposed recommended item value included in the first proposed recommended item information according to the recommended bundling type, and add the first proposed recommended item modification value to the first proposed recommended item information. The first proposed recommended item value may be the value of the item to be cleared corresponding to the first proposed recommended item information. For example, when the recommended bundling type is a quantity bundling type, the first proposed recommended item value corresponding to the first proposed recommended item information may be determined as the first proposed recommended item modification value. For another example, when the recommended bundling type is a gift bundling type, the first proposed recommended item modification value may be determined as 0. For another example, when the recommended bundling type is a combination package type, the difference between the first proposed recommended item value and the preset value reduction value may be determined as the first proposed recommended item modification value. Among them, the preset value reduction value may be a reduction value for the first proposed recommended item value pre-set by the staff when the determined recommended bundling type is a combination package type. In the second sub-step, the corresponding modified value corpus of the first proposed recommended item can be determined according to the above-mentioned recommended bundling type. For example, when the above-mentioned recommended bundling type is a quantity bundling type, "When the selected quantity reaches [preset quantity], each additional selection of any item can reduce the price by [preset value] yuan" can be determined as the modified value corpus of the first proposed recommended item. Among them, the above-mentioned preset quantity and the above-mentioned preset value can be set by relevant staff. For another example, when the above-mentioned recommended bundling type is a gift bundling type, "Do you choose a gift item?" can be used as the modified value corpus of the first proposed recommended item. For another example, when the above-mentioned recommended bundling type is a combination package type, "The combination purchase of items will be reduced by [preset value reduction value] yuan, hurry up and buy!" can be used as the modified value corpus of the first proposed recommended item. In the third sub-step, the first proposed recommended item information after the above-mentioned addition processing, the above-mentioned recommended bundling type and the above-mentioned first proposed recommended item modified value corpus can be combined into the first recommended item information. In this way, the first recommended item information representing the recommended clearance items can be obtained.

[0047] The above-mentioned sixth to ninth steps and their related contents, as an inventive point of an embodiment of the present disclosure, solve the third technical problem mentioned in the background technology, "It is necessary for relevant staff to pre-set a bundling type for each item to be cleared, and the preset bundling type has a low correlation with the items selected by the user, resulting in a low order rate for the browsed items to be cleared, and the turnover of the items to be cleared cannot be increased. The items to be cleared are further accumulated in the warehouse, causing item loss." The factors that make it impossible to increase the turnover of clearance items, further accumulate clearance items in the warehouse, and cause item loss are as follows: It is necessary for relevant staff to pre-set a bundling type for each item to be cleared, and the preset bundling type has a low correlation with the items selected by the user. If the above factors are solved, it can increase the probability of users placing orders for clearance items, thereby increasing the turnover of clearance items, reducing the backlog of clearance items in the warehouse, and thus avoiding item loss. In order to achieve this effect, the present disclosure determines the recommended bundling type through the item information of the target item and the item information of the first proposed recommended item, and finally generates the first recommended item information, so that the user can obtain the clearance items related to the target item when settling the target item, thereby increasing the circulation of the clearance items. Therefore, the backlog of clearance items in the warehouse can be reduced, thereby reducing item loss.

[0048] Step 203, in response to the daily item turnover volume corresponding to the target item being greater than or equal to a preset turnover volume threshold, second recommended item information is generated according to the item information and the new item information set.

[0049] In some embodiments, the above-mentioned execution subject may generate the second recommended item information according to the item information and the new item information set in response to the single-day item turnover volume corresponding to the target item being greater than or equal to the preset turnover volume threshold. Among them, the above-mentioned single-day item turnover volume may be the historical single-day item turnover volume of the above-mentioned target item. The above-mentioned historical single-day item turnover volume may be the average item turnover volume of the above-mentioned target item in the historical time period. For example, the above-mentioned historical single-day item turnover volume may be the average item turnover volume of the above-mentioned target item in the past day. For another example, the above-mentioned historical single-day item turnover volume may be the average item turnover volume of the above-mentioned target item in the past seven days. The above-mentioned preset turnover volume threshold may be a pre-set turnover volume threshold corresponding to the above-mentioned target item. In practice, the above-mentioned execution subject may select the new item information whose production date is closest to the current day from the new item information set in response to the single-day item turnover volume corresponding to the target item being greater than or equal to the preset turnover volume threshold as the second recommended item information. Therefore, when the daily item turnover volume corresponding to the target item is greater than or equal to the preset turnover volume threshold, item information representing the recommended new product can be obtained, so that the target item corresponding to the generated second recommended item information is an item with a higher daily item turnover volume, so that the item information of the recommended new product can be displayed after the user selects the target item, thereby increasing the browsing rate of new products, avoiding users spending time selecting from the new product collection of the target store, and saving users' selection time.

[0050] In some optional implementations of some embodiments, in the first step, the execution subject may select new item information that meets the second preset item recommendation condition from the new item information set as the second item information to be recommended. Among them, the second preset item recommendation condition may be that the item category included in the new item information is the same as the item category of the target item and the production date included is closest to the current day. In the second step, the second recommended item information may be generated according to the second item information to be recommended and the preset new product bundling type. The preset new product bundling type may be a pre-set bundling type between the target item and the second item (new product) to be recommended included in the second item information to be recommended. For example, the preset new product bundling type may be a combination package type. The combination package type may represent the circulation of items in the form of a combination of sets. In practice, in the first sub-step, the execution subject may modify the second item value included in the second item information to be recommended according to the preset new product bundling type to obtain the modified value of the second item to be recommended, so as to complete the update of the second item information to be recommended, so that the updated second item information to be recommended includes the second item value and the second item modified value. For example, when the above-mentioned preset new product bundling type is a combination package type, the difference between the above-mentioned second proposed recommended item value and the preset reduction value can be determined as the second proposed recommended item modification value. Among them, the above-mentioned preset reduction value can be a reduction value for the above-mentioned second proposed recommended item value when the new product bundling type is a combination package type, which is preset by the staff. In the second sub-step, the corresponding second proposed recommended item modification value corpus can be determined according to the above-mentioned preset new product bundling type. For example, when the above-mentioned preset new product bundling type is a combination package type, "Buy new products in combination and get an instant discount of [preset reduction value] yuan, hurry up and buy!" can be used as the second proposed recommended item modification value corpus. In the third sub-step, the above-mentioned updated second proposed recommended item information, the above-mentioned preset new product bundling type and the above-mentioned second proposed recommended item modification value corpus can be combined into the second recommended item information. Thus, the obtained second recommended item information can characterize the second recommended item and the bundling type.

[0051] The above optional implementation method is an inventive point of the embodiment of the present disclosure, which solves the technical problem 4 mentioned in the background technology, "the correlation between the displayed new products and the user's needs is low, resulting in a low order rate for the browsed new products by users, which cannot increase the circulation of new products, and the new products are further accumulated in the warehouse, causing the loss of goods". The factors that lead to the low order rate for the browsed new products by users, the inability to increase the circulation of new products, the further accumulation of new products in the warehouse, and the loss of goods are as follows: the correlation between the displayed new products and the user's needs is low. If the above factors are solved, the probability of users placing orders for new products can be increased, thereby increasing the circulation of new products, reducing the backlog of new products in the warehouse, and thus avoiding the loss of goods. In order to achieve this effect, the present disclosure selects new products that meet the second preset item recommendation conditions related to the target item as the new products that need to be displayed in the end, so that users can obtain new products related to the target item when settling the target item, thereby increasing the circulation of new products. Therefore, the backlog of new products in the warehouse can be reduced, thereby reducing the loss of goods.

[0052] Step 204: Send the first recommended item information and the second recommended item information to a user terminal of a corresponding user, so that the user terminal displays the first recommended item information and the second recommended item information.

[0053] In some embodiments, the execution entity may send the first recommended item information and the second recommended item information to the user terminal of the corresponding user via a wired connection or a wireless connection, so that the user terminal displays the first recommended item information and the second recommended item information. The user terminal of the corresponding user may be a smart device of the user who selects the target item. For example, the user terminal may be a mobile phone. Thus, the user may be informed of clearance items and new products after selecting the target item.

[0054] The above-mentioned embodiments of the present disclosure have the following beneficial effects: through the recommended item information sending method of some embodiments of the present disclosure, the backlog of items to be cleared and new products in the warehouse is reduced, and the space utilization rate of the warehouse is improved. Specifically, the reason for the backlog of items to be cleared and new products in the warehouse and the low space utilization rate of the warehouse is that the user's browsing rate of the new products and items to be cleared displayed on the store homepage is low. In addition, when the user browses the new product collection and the collection of items to be cleared displayed on the store homepage, the user needs to spend time selecting from the new product collection and the collection of items to be cleared, resulting in a low turnover of items to be cleared and new products, and the backlog of items to be cleared and new products in the warehouse, resulting in a low space utilization rate of the warehouse. Based on this, the recommended item information sending method of some embodiments of the present disclosure, first, in response to receiving the user's selection operation information record for the target item, obtains the information set of items to be cleared and the information set of new items corresponding to the target store. Then, according to the item information of the target item and the information set of items to be cleared, the first recommended item information is generated. Thus, the item information representing the recommended items to be cleared can be obtained, so that the item information of the recommended items to be cleared can be displayed after the user selects the target item, which increases the browsing rate of the items to be cleared, avoids the user spending time selecting in the set of items to be cleared in the target store, and saves the user's selection time. Secondly, in response to the single-day item turnover corresponding to the target item being greater than or equal to the preset turnover threshold, the second recommended item information is generated according to the item information and the new item information set. Thus, when the single-day item turnover corresponding to the target item is greater than or equal to the preset turnover threshold, the item information representing the recommended new product can be obtained, so that the target item corresponding to the generated second recommended item information is an item with a high single-day item turnover, so that the item information of the recommended new product can be displayed after the user selects the target item, which increases the browsing rate of the new product, avoids the user spending time selecting in the set of new products in the target store, and saves the user's selection time. Finally, the first recommended item information and the second recommended item information are sent to the user terminal of the corresponding user, so that the user terminal displays the first recommended item information and the second recommended item information. As a result, the user can learn about clearance items and new products after selecting the target item. Because the first recommended item information and the second recommended item information are generated and sent to the user terminal, the user terminal displays the first recommended item information and the second recommended item information after the user selects the target item, thereby increasing the browsing rate of the clearance items corresponding to the first recommended item information and the new products corresponding to the second recommended item information.Furthermore, because only the clearance items corresponding to the first recommended item information and the new products corresponding to the second recommended item information are displayed, users do not need to spend time selecting from the new product collection and the clearance item collection, which increases the user's order rate for the displayed clearance items and new products, thereby increasing the turnover of clearance items and new products, reducing the backlog of clearance items and new products in the warehouse, and thus improving the space utilization rate of the warehouse.

[0055] Further references Figure 3 , which shows a process 300 of another embodiment of the method for sending recommended item information. The process 300 of the method for sending recommended item information includes the following steps:

[0056] Step 301, in response to receiving a user's selection operation information record for a target item, obtaining a to-be-cleared item information set and a new item information set of a corresponding target store.

[0057] In some embodiments, the specific implementation of step 301 and the technical effects thereof can be referred to in Figure 2 The corresponding step 201 in the embodiments will not be described in detail here.

[0058] Step 302: Acquire the associated item information of each associated item corresponding to the target item to obtain an associated item information set.

[0059] In some embodiments, the execution entity may obtain the associated item information of each associated item corresponding to the target item to obtain an associated item information set. The target store corresponds to the associated item. The associated item may be an item associated with the target item in the target store. For example, the target item may be dishwashing liquid. The associated item may be a dishwashing sponge. The associated item information may be item information of the associated item. Thus, an item information set of each item associated with the target item may be obtained.

[0060] Step 303: Generate first recommended item information based on the item information of the target item and the information set of items to be cleared.

[0061] Step 304, in response to the daily item turnover volume corresponding to the target item being greater than or equal to a preset turnover volume threshold, second recommended item information is generated according to the item information and the new item information set.

[0062] In some embodiments, the specific implementation of steps 303-304 and the technical effects thereof can be referred to in Figure 2 The corresponding steps 202-203 in the embodiments are not described in detail here.

[0063] Step 305 : Determine the quantity of at least one associated item corresponding to the target item included in the store history order set and the store history order of the target item as an associated quantity, and obtain an associated quantity set.

[0064] In some embodiments, the execution subject may determine the number of at least one associated item corresponding to the target item and the store historical orders of the target item included in the store historical order set as the associated quantity, and obtain an associated quantity set. The store historical order set may be a historical order set of the target store. For example, the store historical order set may be [first store historical order: target item, associated item A, associated item B], [second store historical order: target item, associated item A, associated item C], [third store historical order: target item, associated item A, associated item C, associated item D], [fourth store historical order: associated item B, associated item C], [fifth store historical order: target item, associated item A, associated item B, associated item C, associated item D]. The associated quantity corresponding to the associated item A is 4. The associated quantity corresponding to the associated item B is 2. The associated quantity corresponding to the associated item C is 3. The associated quantity corresponding to the associated item D is 2. Thus, an associated quantity set representing the degree of association between each associated item and the target item may be obtained.

[0065] Step 306: Generate third recommended item information according to the item information, the associated quantity set and the associated item information set.

[0066] In some embodiments, the execution entity may generate the third recommended item information based on the item information, the associated quantity set, and the associated item information set. In practice, the execution entity may determine the associated item information corresponding to the associated quantity with the largest value in the associated quantity set as the third recommended item information. Thus, the third recommended item information representing the third recommended item may be obtained.

[0067] Step 307: Send the first recommended item information, the second recommended item information, and the third recommended item information to the user terminal of the corresponding user.

[0068] In some embodiments, the execution entity may send the first recommended item information, the second recommended item information, and the third recommended item information to a user terminal corresponding to the user, thereby enabling the user to learn about related items after selecting the target item, thereby increasing the probability that the user selects the related items to match the target item and places an order.

[0069] from Figure 3 It can be seen that Figure 2 Compared with the description of some corresponding embodiments, Figure 3The process 300 of the method for sending recommended item information in some corresponding embodiments embodies the step of expanding the third recommended item information. Therefore, the schemes described in these embodiments can generate the third recommended item information and send it to the user terminal, so that the user can know the related items after selecting the target item, and increase the probability that the user selects the related items to match the target item and place an order.

[0070] Further references Figure 4 As an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a device for sending recommended item information. These device embodiments are similar to Figure 2 Corresponding to the method embodiments shown, the device can be specifically applied to various electronic devices.

[0071] like Figure 4 As shown, the recommended item information sending device 400 of some embodiments includes: an acquisition unit 401, a first generation unit 402, a second generation unit 403 and a sending unit 404. The acquisition unit 401 is configured to, in response to receiving a user's selection operation information record for a target item, acquire a to-be-cleared item information set and a new item information set of a corresponding target store, wherein the target store corresponds to the target item; the first generation unit 402 is configured to generate first recommended item information based on the item information of the target item and the to-be-cleared item information set; the second generation unit 403 is configured to, in response to the single-day item turnover volume corresponding to the target item being greater than or equal to a preset turnover volume threshold, generate second recommended item information based on the item information and the new item information set; the sending unit 404 is configured to send the first recommended item information and the second recommended item information to a user terminal of the corresponding user, so that the user terminal displays the first recommended item information and the second recommended item information.

[0072] It is understood that the units described in the device 400 are similar to those described in the reference Figure 2 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the device 400 and the units included therein, and will not be described in detail here.

[0073] Reference below Figure 5 , which shows an electronic device (such as Figure 1 A schematic diagram of the structure of the computing device 101)500 is shown. Figure 5 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0074] like Figure 5As shown, the electronic device 500 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage device 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0075] Typically, the following devices may be connected to the I / O interface 505: an input device 506 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 508 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 509. The communication device 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 5 The electronic device 500 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 5 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0076] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 509, or installed from the storage device 508, or installed from the ROM 502. When the computer program is executed by the processing device 501, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0077] It should be noted that the computer-readable medium recorded in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0078] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0079] The computer-readable medium may be included in the electronic device; or it may exist independently without being assembled into the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: in response to receiving the user's selection operation information record for the target item, obtains the to-be-cleared items information set and the new items information set of the corresponding target store, wherein the target store corresponds to the target item; generates first recommended item information based on the item information of the target item and the to-be-cleared items information set; in response to the daily item turnover volume corresponding to the target item being greater than or equal to a preset turnover volume threshold, generates second recommended item information based on the item information and the new items information set; sends the first recommended item information and the second recommended item information to the user terminal of the corresponding user, so that the user terminal displays the first recommended item information and the second recommended item information.

[0080] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0081] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0082] The units described in some embodiments of the present disclosure may be implemented by software or by hardware. The described units may also be provided in a processor, for example, may be described as: a processor includes an acquisition unit, a first generation unit, a second generation unit and a sending unit. Among them, the names of these units do not constitute a limitation on the units themselves in certain circumstances, for example, the sending unit may also be described as "a unit that sends the first recommended item information and the second recommended item information to the user terminal of the corresponding user".

[0083] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0084] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A method for sending recommended item information, comprising: In response to receiving a user's selection operation information record for a target item, obtaining a to-be-cleared item information set and a new item information set of a corresponding target store, wherein the target store corresponds to the target item; Generate first recommended item information according to the item information of the target item and the set of information of the items to be cleared; In response to a single-day item turnover volume corresponding to the target item being greater than or equal to a preset turnover volume threshold, generating second recommended item information according to the item information and the set of new item information; sending the first recommended item information and the second recommended item information to a user terminal corresponding to the user, so that the user terminal displays the first recommended item information and the second recommended item information; The step of generating first recommended item information according to the item information of the target item and the set of information of the items to be cleared includes: Determine at least one long-tail keyword corresponding to each piece of information on items to be cleared out in the set of information on items to be cleared out, and obtain a set of long-tail keywords; According to the store historical order set, determine the target user group corresponding to each to-be-cleared item information in the to-be-cleared item information set to obtain the target user group set, including: for each to-be-cleared item information in the to-be-cleared item information set, select the store historical orders including the to-be-cleared item information corresponding to the to-be-cleared item information from the store historical order set as the to-be-cleared historical orders to obtain the to-be-cleared historical order set; determine the user corresponding to each to-be-cleared historical order in the to-be-cleared historical order set as the to-be-cleared historical order user to obtain the to-be-cleared historical order user set; obtain the historical user attribute label and the historical user behavior label corresponding to each to-be-cleared historical order user in the to-be-cleared historical order user set from the database to obtain the historical user attribute label set and the historical user behavior label set, wherein the database stores the historical user attribute label and the historical user behavior label of each user; obtain the user identifier of the user whose user attribute label is the same as any one of the historical user attribute labels in the historical user attribute label set and whose user behavior label is the same as any one of the historical user behavior labels in the historical user behavior label set from the database, and determine the obtained user identifier as the target user group corresponding to the to-be-cleared item; Determine the item description information included in each item to be cleared out in the item information set to obtain the item description information set; Selecting, from the set of information on items to be cleared, information on items to be cleared whose corresponding item categories are different from the item categories of the target item as information on compatible items, to obtain a set of information on compatible items; According to the long-tail keyword set, the target user group set and the item description information set, selecting the collocation item information that meets the first preset item recommendation condition from the collocation item information set as the first item information to be recommended; In response to the first proposed recommended item identifier being the same as the target item identifier, determining the quantity bundling class as the recommended bundling type; In response to the first proposed recommended item name being the same as the target item name, and the first proposed recommended item specification identifier being different from the target item specification identifier, determining the gift bundle type as a recommended bundle type; In response to the first proposed recommended item description information corresponding to the first proposed recommended item information and the target item description information satisfying a preset complementary condition, determining the combination package type as a recommended bundling type; The first recommended item information is generated according to the first proposed recommended item information and the determined recommended bundling type.

2. The method according to claim 1, wherein: After obtaining the to-be-cleared items information set and the new items information set of the corresponding target store, the method further includes: The associated item information of each associated item corresponding to the target item is obtained to obtain an associated item information set, wherein the target store corresponds to the associated item.

3. The method according to claim 2, wherein: Before sending the first recommended item information and the second recommended item information to a user terminal corresponding to the user, the method further includes: Determining the quantity of at least one associated item corresponding to the target item and the store's historical orders of the target item included in the store's historical order set as an associated quantity, to obtain an associated quantity set, wherein the store's historical order set is a historical order set of the target store; The third recommended item information is generated according to the item information, the associated quantity set and the associated item information set.

4. The method according to claim 3, wherein: The sending the first recommended item information and the second recommended item information to a user terminal corresponding to the user further includes: The third recommended item information is sent to the user terminal.

5. A device for sending recommended item information, comprising: an acquisition unit, configured to, in response to receiving a user's selection operation information record for a target item, acquire a to-be-cleared item information set and a new item information set of a corresponding target store, wherein the target store corresponds to the target item; A first generating unit is configured to generate first recommended item information according to the item information of the target item and the set of information of the items to be cleared; A second generating unit is configured to generate second recommended item information according to the item information and the new item information set in response to a single-day item turnover volume corresponding to the target item being greater than or equal to a preset turnover volume threshold; a sending unit, configured to send the first recommended item information and the second recommended item information to a user terminal corresponding to the user, so that the user terminal displays the first recommended item information and the second recommended item information; Wherein, the first generating unit is further configured to: Determine at least one long-tail keyword corresponding to each piece of information on items to be cleared out in the set of information on items to be cleared out, and obtain a set of long-tail keywords; According to the store historical order set, determine the target user group corresponding to each item to be cleared in the item to be cleared information set to obtain the target user group set, including: for each item to be cleared in the item to be cleared information set, select the store historical order including the item to be cleared corresponding to the item to be cleared from the store historical order set as the historical order to be cleared, to obtain the historical order to be cleared set; determine the user corresponding to each historical order to be cleared in the historical order to be cleared set as the historical order to be cleared user, to obtain the historical order to be cleared user set; obtain the historical user attribute label and the historical user behavior label corresponding to each historical order to be cleared in the historical order to be cleared user set from the database, to obtain the historical user attribute label set and the historical user behavior label set, wherein the database stores the historical user attribute label and the historical user behavior label of each user; obtain the user identifier of the user whose user attribute label is the same as any one of the historical user attribute labels in the historical user attribute label set and whose user behavior label is the same as any one of the historical user behavior labels in the historical user behavior label set, and determine the obtained user identifier as the target user group corresponding to the item to be cleared; Determine the item description information included in each item to be cleared out in the item information set to obtain the item description information set; Selecting, from the set of information on items to be cleared, information on items to be cleared whose corresponding item categories are different from the item categories of the target item as information on compatible items, to obtain a set of information on compatible items; According to the long-tail keyword set, the target user group set and the item description information set, selecting collocation item information that meets the first preset item recommendation condition from the collocation item information set as the first item information to be recommended; In response to the first proposed recommended item identifier being the same as the target item identifier, determining the quantity bundling class as the recommended bundling type; In response to the first proposed recommended item name being the same as the target item name, and the first proposed recommended item specification identifier being different from the target item specification identifier, determining the gift bundle type as a recommended bundle type; In response to the first proposed recommended item description information corresponding to the first proposed recommended item information and the target item description information satisfying a preset complementary condition, determining the combination package type as a recommended bundling type; The first recommended item information is generated according to the first proposed recommended item information and the determined recommended bundling type.

6. An electronic device comprising: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 4.

7. A computer readable medium having a computer program stored thereon, wherein: When the program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

Images