Method and apparatus for generating commodity pushing strategy

Abstract

The embodiment of the present application provides a kind of generation method and device of commodity push strategy, wherein, server will select hot commodity as the commodity to be pushed according to terminal user commodity page information, and the push strategy of the commodity to be pushed is generated based on the historical push behavior of terminal user and the push strategy of other terminal users, for terminal user to view and select.By such way, terminal user does not have to determine commodity push strategy according to its personal experience, but directly obtains the commodity push strategy with higher accuracy and better effectiveness generated by server, which greatly reduces the trial and error cost of terminal user, improves terminal user experience.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of computer, and particularly relate to a method and device for generating a commodity pushing strategy. BACKGROUND

[0002] With the rapid development of the information age, the effectiveness of commodity information pushing is closely related to commodity sales.

[0003] In the prior art, a commodity pushing strategy is formulated by a merchant according to its own market experience. Specifically, the merchant needs to select a commodity to be pushed from the commodities it sells, and determine a pushing range and a pushing manner of commodity information for the commodity based on the current market situation.

[0004] However, commodity information pushing according to such a commodity pushing strategy generally has problems of poor precision and low effectiveness. SUMMARY

[0005] Embodiments of the present application provide a method and device for generating a commodity pushing strategy, which can enable a terminal user to directly obtain a commodity pushing strategy generated by a server, instead of determining the commodity pushing strategy according to its own experience, thereby greatly reducing the trial and error cost of the terminal user and improving the terminal user experience.

[0006] In a first aspect, a method for generating a commodity pushing strategy is provided, which is applied to a server and includes:

[0007] determining at least one hot commodity as a commodity to be pushed according to commodity page information of a current terminal user; generating strategy display information according to historical pushing behavior of the current terminal user and a pushing strategy of the commodity to be pushed by other terminal users; wherein the strategy display information includes the pushing strategy of each commodity to be pushed; and sending the strategy display information to the current terminal user.

[0008] It can be known that the server selects a hot commodity as a commodity to be pushed according to commodity page information of a terminal user, and generates a pushing strategy of the commodity to be pushed based on historical pushing behavior of the terminal user and a pushing strategy of other terminal users, for the terminal user to view and select. In this way, the terminal user can directly obtain a commodity pushing strategy generated by the server, instead of determining the commodity pushing strategy according to its own experience, thereby greatly reducing the trial and error cost of the terminal user and improving the terminal user experience.

[0009] Optionally, the method further comprises: receiving a push request sent by the current terminal user, wherein the push request comprises a target commodity determined by the current terminal user according to the strategy display information and a push strategy of the target commodity; and pushing commodity information of the target commodity according to the push strategy of the target commodity.

[0010] It can be known that the server will also directly receive the target commodity and the push strategy selected by the terminal user from the push strategies of the commodities provided by the server, and directly provide the terminal user with a push service of the corresponding commodity information, thereby greatly simplifying the push process of the terminal user on the commodity information and improving the push efficiency.

[0011] Optionally, the strategy display information is generated according to the historical push behavior of the current terminal user and the push strategies of the commodities to be pushed by other terminal users, and comprises: determining historical value information of the current terminal user when pushing historical commodities, and sales proportion information of a sales amount of each commodity to be pushed relative to a total sales amount of the current terminal user; determining real-time value information of each commodity to be pushed by other terminal users when pushing the commodity; determining push value information of each commodity to be pushed according to the historical value information of the current terminal user, the sales proportion information of the commodity to be pushed, and the real-time value information for each commodity to be pushed; and the push value information of each commodity to be pushed constitutes the push strategy of each commodity to be pushed.

[0012] It can be known that the server determines the push strategy of the commodity to be pushed based on the historical value information of the terminal user when pushing the historical commodity, the sales proportion information of the sales amount of the commodity to be pushed relative to the total sales amount, and the real-time value information of the commodity to be pushed by other terminal users, and through such a determination manner, the accuracy and effectiveness of the push strategy can be effectively guaranteed.

[0013] Optionally, the strategy display information is generated according to the historical push behavior of the current terminal user and the push strategies of the commodities to be pushed by other terminal users, and further comprises: determining push range information of each commodity to be pushed by using push range data of each commodity in a recommendation range database; and the push value information and the push range information of each commodity to be pushed constitute the push strategy of each commodity to be pushed.

[0014] It can be known that the server will also determine the push range information of each commodity to be pushed by using the push range data of each commodity in the recommendation range database, thereby further improving the accuracy and effectiveness of the push strategy.

[0015] Optionally, the method further comprises: obtaining traffic data of each commodity, and performing data insight processing on the traffic data to determine a commodity label of each commodity; and determining at least one hot commodity as the to-be-pushed commodity according to the commodity page information of the current terminal user, comprising: determining the commodity label of each commodity in the commodity page information, and selecting at least one commodity with the hot commodity label as the to-be-pushed commodity.

[0016] It can be known that the server will identify the hot commodities by using the data insight technology, so that the to-be-pushed commodities provided for the terminal user are all hot commodities with pushing value, thereby improving the pushing effectiveness of information pushing for commodities and reducing the user trial and error cost.

[0017] Optionally, determining at least one hot commodity as the to-be-pushed commodity according to the commodity page information of the current terminal user further comprises: determining the pushing willingness of the current terminal user for each hot commodity; and determining the to-be-pushed commodity according to the pushing willingness of each hot commodity.

[0018] Optionally, determining the pushing willingness of the current terminal user for each hot commodity comprises: determining the pushing willingness of the current terminal user for each hot commodity according to the information integrity, commodity generation time and historical pushing situation of each hot commodity in the commodity page information.

[0019] It can be known that the server will also determine the pushing willingness of the terminal user for each hot commodity according to the information integrity, commodity generation time and historical pushing situation, so that the hot commodity with strong pushing willingness can be selected as the to-be-pushed commodity to inform the terminal user, thereby making the to-be-pushed commodity involved in the strategy display information be a commodity meeting the pushing willingness of the user, and improving the user experience.

[0020] In a second aspect, an embodiment of the present application provides a commodity pushing strategy generation method, which is applied to a terminal; the method comprises:

[0021] obtaining the strategy display information sent by the server, wherein the strategy display information comprises the pushing strategy of at least one to-be-pushed commodity; the strategy display information is generated by the server according to the historical pushing behavior of the terminal user and the pushing strategy of each to-be-pushed commodity of other terminal users; generating a pushing request of a target commodity according to the target commodity selected by the terminal user from the strategy display information and the pushing strategy corresponding to the target commodity; and sending the pushing request of the target commodity to the server, so that the server pushes commodity information of the target commodity according to the pushing strategy of the target commodity.

[0022] It is known that the terminal user can directly receive the policy display information sent by the server, and select the target goods and the push strategy needed to be pushed from the policy display information, so as to realize one-key information push processing of the goods. In this way, the terminal user does not need to determine the goods push strategy according to personal experience, but directly obtains the goods push strategy generated by the server, which has higher accuracy and better effectiveness, greatly reduces the trial and error cost of the terminal user, and improves the terminal user experience.

[0023] In a third aspect, an electronic device is provided, comprising: a memory, a processor; at least one processor; and

[0024] a memory;

[0025] The memory stores computer-executable instructions.

[0026] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the method of the first aspect.

[0027] In a fourth aspect, a computer-readable storage medium is provided, and the computer-readable storage medium stores computer-executable instructions. When the processor executes the computer-executable instructions, the method of the first aspect is implemented.

[0028] In a fifth aspect, a computer program product is provided, comprising a computer program. When the computer program is executed by the processor, the method of the first aspect is implemented.

[0029] The embodiments of the present application provide a method and device for generating a goods push strategy. The server selects hot goods that can be pushed as goods to be pushed according to the terminal user's goods page information, and generates a push strategy for the goods to be pushed based on the terminal user's historical push behavior and the push strategy of other terminal users, so as to be viewed and selected by the terminal user. In this way, the terminal user does not need to determine the goods push strategy according to personal experience, but directly obtains the goods push strategy generated by the server, which has higher accuracy and better effectiveness, greatly reduces the trial and error cost of the terminal user, and improves the terminal user experience. BRIEF DESCRIPTION OF DRAWINGS

[0030] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0031] Figure 1 is a data flow diagram of a method for generating a goods push strategy in the prior art;

[0032] Figure 2 is a schematic diagram of a network architecture based on the present application;

[0033] Figure 3 A flowchart of a method for generating a commodity pushing strategy provided in an embodiment of the present application is shown in the following figure:

[0034] Figure 4 An interface diagram of a method for generating a commodity pushing strategy provided in an embodiment of the present application is shown in the following figure:

[0035] Figure 5 A first data flow diagram of a method for generating a commodity pushing strategy provided in an embodiment of the present application is shown in the following figure:

[0036] Figure 6 A second data flow diagram of a method for generating a commodity pushing strategy provided in an embodiment of the present application is shown in the following figure:

[0037] Figure 7 A third data flow diagram of a method for generating a commodity pushing strategy provided in an embodiment of the present application is shown in the following figure:

[0038] Figure 8 A flowchart of another method for generating a commodity pushing strategy provided in an embodiment of the present application is shown in the following figure:

[0039] Figure 9 A hardware structure diagram of an electronic device provided in the present application is shown in the following figure.

[0040] The specific embodiments of the present disclosure have been shown in the above figures, and will be described in more detail hereinafter. These figures and the written description are not intended to limit the scope of the present disclosure concept in any way, but to illustrate the present disclosure concept to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0041] The exemplary embodiments will be described in detail herein with reference to the attached drawings. In the following description, the same numbers are used to indicate the same or similar components. The embodiments described in the following exemplary embodiments do not represent all the embodiments consistent with the present disclosure. Instead, they are merely examples of apparatuses and methods consistent with some aspects of the present disclosure, as detailed in the appended claims.

[0042] In the technical solution of the present application, the collection, storage, use, processing, transmission, provision and disclosure of user information or commodity information comply with relevant laws and regulations and do not violate public order and good customs.

[0043] With the rapid development of the information age, the effectiveness of commodity information pushing is closely related to commodity sales.

[0044] In order to enable more consumers to know the goods of the merchant, the merchant will develop a series of goods pushing strategies to effectively push the goods information.

[0045] In the prior art, the goods pushing strategy is developed by the merchant according to the market experience of the merchant. The merchant needs to select the goods to be pushed from the goods sold by the merchant, and determine the pushing range and pushing mode of the goods information based on the current market situation.

[0046] Figure 1 is a data flow diagram of the generation method of the goods pushing strategy in the prior art. As shown in Figure 1 , the merchant selects the goods to be pushed from the goods sold by the merchant according to the experience of the merchant, and specifies the related pushing strategy for the goods to be pushed. Then the merchant sends the goods to be pushed and the pushing strategy to the server (information pushing platform) through the merchant terminal (merchant client). The server pushes the goods to be pushed to the consumer terminal according to the pushing strategy.

[0047] For the merchant, the pushing effect of the goods to be pushed is closely related to whether the pushing strategy is effective, and the effectiveness of the pushing strategy depends on the personal experience of the merchant. Such a generation method of the pushing strategy is very unfavorable for the merchant who lacks experience. The merchant is easy to fail to achieve the pushing effect of the goods due to the inaccuracy of the pushing strategy, resulting in the problem of greatly increasing the operation cost.

[0048] In view of the above problems, compared with the scheme shown in Figure 1 , the embodiment of the present application provides a generation method and device of a goods pushing strategy. The server directly selects the hot goods to be used as the target of the goods to be pushed and provides the corresponding pushing strategy for the merchant to check and select. When the merchant selects the goods and the corresponding pushing strategy, the server will execute the pushing of the goods information of the target goods according to the selected pushing strategy. In this way, the merchant does not need to determine the goods pushing strategy according to the personal experience, but directly obtains the goods pushing strategy with higher accuracy and better effectiveness generated by the server, which greatly reduces the trial and error cost of the merchant and improves the experience of the merchant.

[0049] Reference is made to Figure 2 , Figure 2 a schematic diagram of a network architecture based on the present application, Figure 2 The network architecture can specifically include a server 1 and a terminal 2.

[0050] The server 1 can be a server cluster arranged in the cloud. Through the preset operation logic in the server 1, the server will provide the terminal 1 with the determination of the goods to be pushed, the generation of the pushing strategy, and the pushing of the goods information, and other related servers.

[0051] The terminal 2 can be specifically a hardware device with network communication function and information display function, including but not limited to a smart phone, a tablet computer, a desktop computer, an Internet of Things device, etc.

[0052] The merchant can interact with the server 1 through the terminal 2, and select the target goods to be pushed and the push strategy to be used by using the strategy display information provided by the server 1. Then, the merchant can send the target goods and the push strategy to the server 1 through the terminal 2, and the server 1 will push the target goods according to the push strategy.

[0053] The generation method and device of the commodity push strategy provided in the present application will be described in detail below through specific embodiments. The following embodiments can be combined with each other, and the same or similar concepts or processes can not be described again in some embodiments.

[0054] It should be noted that the execution subject of the generation method of the commodity push strategy provided in the present embodiment is the aforementioned server, Figure 3 A flowchart of a generation method of a commodity push strategy provided in an embodiment of the present application. As shown in the figure, Figure 3 The generation method of the commodity push strategy can include the following steps:

[0055] Step 301, determining at least one hot commodity as a to-be-pushed commodity according to the commodity page information of the current terminal user.

[0056] Specifically, in the present embodiment, the current terminal user specifically refers to a merchant, such as a seller of an e-commerce platform, a service provider of a service platform, etc. These terminal users can push information of the goods provided by themselves including the goods for sale or the services for sale on the relevant platform through the server.

[0057] The commodity page information of the terminal user specifically refers to the information page of the merchant on the relevant platform of the server for displaying the goods of the merchant, such as the store page on the e-commerce platform, the service project display page on the service platform, etc. Each commodity provided by the terminal user will be presented on the commodity page information.

[0058] After obtaining the commodity page information, the server will select the hot commodities in each commodity in the commodity page information according to the data insight analysis result, so as to determine the to-be-pushed commodities this time.

[0059] Step 302, generating strategy display information according to the historical push behavior of the current terminal user and the push strategy of other terminal users to the to-be-pushed commodities; wherein the strategy display information includes the push strategy of each to-be-pushed commodity.

[0060] Step 303: Send the policy display information to the current terminal user.

[0061] Specifically, the terminal user's historical push behavior refers to the terminal user's historical product push behavior and the corresponding push strategy determined by the terminal user in the period before the current push strategy was generated. The push strategy of other terminal users for the pushed product refers to the push strategy of other terminal users other than the current terminal user for the product to be pushed.

[0062] The server will listen to the current user's historical push behavior and other users' push strategies for pushing products, and generate a push strategy for each product to be pushed. These push strategies will be combined to form a strategy display information, which will be sent to the current user for viewing, selection, and reference.

[0063] Of course, in an optional embodiment, the server will also provide a one-click push trigger service for the terminal user. That is, the server will receive a push request sent by the current terminal user. The push request includes the target product and the push policy for the target product determined by the current terminal user based on the policy display information; the product information of the target product is pushed according to the push policy of the target product.

[0064] Figure 4 This is a schematic diagram of an interface of a method for generating a product push strategy provided by an embodiment of the present application, such as Figure 4 As shown, the end user will receive Figure 4 The strategy display information shown in the left figure will display at least one product to be pushed (such as product 1, product 2 and product 3) and the push strategy for each product to be pushed.

[0065] The end user (merchant) can select a product to be pushed as the target product from the multiple products to be pushed provided by the strategy display information according to their own needs, such as Figure 4 It shows "Your currently selected product is: Product 2". After the end user (merchant) clicks "Confirm Push" on the interface, the server will receive a push request from the end user including the target product and push strategy.

[0066] Based on the push strategy, the server will push the product information of the target product to the consumer terminal for the consumer to view the product information.

[0067] Through the above method, the server can provide merchants with a one-click product information push service, which greatly simplifies the relevant process of merchants setting push strategies and improves the efficiency of generating push strategies.

[0068] Based on the above implementation, in the implementation of the present application, the server selects the products to be pushed to the end user based on data insight technology. Data insight technology is a data processing technology that extracts and analyzes data features based on big data structures.

[0069] Specifically, Figure 5 This is a first data flow diagram of a method for generating a product push strategy provided by an embodiment of the present application, such as Figure 5 As shown, it can be seen that before determining the products to be pushed based on the merchant's product page information, the server will also perform data insight analysis on the current traffic data of each product to determine the product label of each product on the current market.

[0070] For example, traffic data may specifically include information push effect data and search data, among which the information push effect data may specifically be relevant data such as the click rate of consumers on any product information pushed by the platform; and the search data may specifically be relevant data such as the search keywords entered by each consumer when searching on the current platform.

[0071] By analyzing the above traffic data, the data characteristics of each product involved in the traffic data can be determined. The data characteristics are used to indicate the current push status of each product on the platform (whether there is a related push), push depth (the number of pages of information displayed), push effect (information click-through rate), etc. By analyzing the data characteristics of each product, the product label of each product can be determined. For example, product labels include "new product", "hot product", "single product", "souvenir", "hot spot", etc.

[0072] By labeling each product, the product label of each product can be determined, so that the server can determine hot products with recommendation value based on the product label.

[0073] Then, if Figure 5 As shown, the server can provide product page information for each terminal user, screen out terminal users with hot products, and determine the products to be pushed corresponding to these terminal users. For example, for terminal user A, none of the three products provided in its product page information are hot products, then the terminal user A will not be considered as the current terminal user in this application. For another example, for terminal user B, there are two products provided in its product page information, and both of these two products are hot products. At this time, the terminal user B can be considered as the current terminal user in this application, and the two products can be considered as the products to be pushed to the terminal user.

[0074] That is, the server will determine the product tags of each product according to the traffic data of each product, and determine at least one hot product as the to-be-pushed product according to the product page information of the current terminal user, including: determining the product tags of each product in the product page information, and selecting at least one product with a hot product tag as the to-be-pushed product.

[0075] The server uses data insight technology to identify hot products, so that the to-be-pushed products provided to the terminal user are all hot products with pushing value, thereby improving the pushing effectiveness of information pushing for products and further reducing the user trial and error cost.

[0076] Based on the above embodiment, when the product page information of the terminal user includes a hot product, the selection of the to-be-pushed product of the terminal user can also be determined based on the pushing intention of the terminal user. That is, the server determines the pushing intention of each hot product of the current terminal user, and determines the to-be-pushed product according to the pushing intention of each hot product.

[0077] Specifically, the pushing intention is related to the information integrity, product generation time, and historical pushing situation of the hot product. Figure 6 A second data flow diagram of a product pushing strategy generation method provided by the embodiment of the application is shown in Figure 6 As shown, the hot products of the terminal user are product 1 and product 2. The information integrity of the product page information of product 1 is higher, while the information integrity of the product page information of product 2 is lower. At the same time, the generation time of product 1 is later than that of product 2. At the same time, the terminal user has once pushed information of product 1, that is, product 1 has a historical pushing situation. Considering the above factors, the terminal user will have a greater pushing intention for product 1 and a lower pushing intention for product 2. At this time, product 1 will be preferentially selected as the to-be-recommended product of the terminal user. That is, the server determines the pushing intention of each hot product of the current terminal user according to the information integrity, product generation time, and historical pushing situation of each hot product in the product page information.

[0078] In this way, the hot product with a stronger pushing intention can be selected as the to-be-pushed product to inform the terminal user, so that the to-be-pushed product involved in the strategy display information is a product that meets the user's pushing intention, thereby improving the user experience.

[0079] On the basis of the above-mentioned embodiments, in order to improve the accuracy and effectiveness of the server generating the push strategy of each to-be-pushed commodity, the push strategy of the to-be-pushed commodity is determined based on historical value information of the terminal user when pushing the historical commodity, sales proportion information of the sales amount of the to-be-pushed commodity relative to the total sales amount, and real-time value information of other terminal users to the to-be-pushed commodity.

[0080] Specifically, Figure 7 A third data flow diagram of a commodity push strategy generation method provided by the embodiment is shown in the figure Figure 7 The server determines historical value information of the current terminal user when pushing the historical commodity, and sales proportion information of the sales amount of each to-be-pushed commodity relative to the total sales amount of the current terminal user; determines real-time value information of other terminal users to each to-be-pushed commodity when pushing; for each to-be-pushed commodity, determines push value information of each to-be-pushed commodity according to the historical value information of the current terminal user, the sales proportion information of the to-be-pushed commodity, and the real-time value information; and the push value information of each to-be-pushed commodity constitutes the push strategy of each to-be-pushed commodity.

[0081] Among them, the historical value information will include historical bid information and historical budget information, wherein the historical bid information refers to the value that the terminal user (merchant) can bear for each click of the commodity information before this processing. The historical budget information refers to the total value that the terminal user (merchant) can bear for the investment of commodity information push before this processing. The historical value information can determine the basic value of the terminal user in the push strategy.

[0082] Among them, the sales proportion information of the to-be-pushed commodity refers to the proportion of the sales amount of the to-be-pushed commodity to the total sales amount for the terminal user (merchant). The sales proportion information can determine the importance of the to-be-pushed commodity to the terminal user.

[0083] Among them, the real-time value information of other terminal users to each to-be-pushed commodity when pushing refers to the real-time bid information and real-time budget information of other users (other merchants) to the commodity, in addition to the current terminal user (current merchant). The real-time bid information refers to the real-time value that the other terminal user (other merchant) can bear for each click of the commodity information. The real-time budget information refers to the real-time total value that the other terminal user (other merchant) can bear for the investment of commodity information push. The real-time value information can determine the industry value of the to-be-pushed commodity.

[0084] In addition, in determining the push strategy of each commodity, the recommended bid and the recommended budget of the commodity need to be determined based on the historical value information, the sales proportion information of the to-be-pushed commodity, and the real-time value information mentioned above.

[0085] As shown in Figure 7 When the push strategy of each commodity (such as commodity 1 and commodity 2) is determined, the server will generate strategy display information including the push strategy of each to-be-recommended commodity, and actively send the strategy display information to the terminal user for receiving and using by the terminal user.

[0086] Of course, in an optional implementation, the server can also utilize the push range data of each commodity in the recommendation range database to determine the push range information of each to-be-pushed commodity when determining the push strategy; the push value information and the push range information of each to-be-pushed commodity constitute the push strategy of each to-be-pushed commodity.

[0087] The push range information includes but is not limited to push population range information and push keyword range information, etc. Based on different push range information, the server can provide information push service of different push range for the terminal user, realize intelligent push of commodity information, and further improve the push efficiency.

[0088] In this embodiment, the server will directly select the hot commodity that can be the selected target of the to-be-pushed commodity for the merchant and provide the corresponding push strategy for the merchant to view and select, so that after the merchant selects the commodity and the corresponding push strategy, the server will perform the push of the commodity information of the target commodity according to the selected push strategy. In this way, the merchant does not need to determine the commodity push strategy according to his personal experience, but directly obtains the commodity push strategy generated by the server with higher accuracy and better effectiveness, which greatly reduces the trial and error cost of the merchant and improves the experience of the merchant.

[0089] On the basis of the above embodiments, in this embodiment, the execution subject of the generation method of the commodity push strategy is the terminal mentioned above, and the user of the terminal can be a merchant.

[0090] Figure 8 Another flowchart of a generation method of a commodity push strategy provided in an embodiment of the present application is shown in Figure 8 The generation method of the commodity push strategy can include the following steps:

[0091] Step 801, acquire the strategy display information sent by the server, and the strategy display information includes the push strategy of at least one to-be-pushed commodity; wherein the strategy display information is generated by the server according to the historical push behavior of the terminal user and the push strategy of each to-be-pushed commodity of other terminal users.

[0092] Step 802, generating a push request of the target commodity according to the target commodity selected by the terminal user from the strategy display information and the push strategy corresponding to the target commodity.

[0093] Step 803, sending the push request of the target commodity to the server, so that the server pushes the commodity information of the target commodity according to the push strategy of the target commodity.

[0094] Specifically, the method for generating a commodity push strategy provided by the embodiment can refer to the foregoing Figure 4 The terminal will receive the strategy display information sent by the server, and at least one to-be-pushed commodity (such as commodity 1, commodity 2, and commodity 3) and the push strategy of each to-be-pushed commodity will be displayed in the strategy display information.

[0095] The merchant can select a to-be-pushed commodity as a target commodity from the plurality of to-be-pushed commodities provided by the strategy display information according to the needs of the merchant, as Figure 4 indicated, the "commodity 2" is selected, at this time, the interface will jump to the page of "the commodity you currently selected is: commodity 2". The merchant can click "confirm push" on the interface, and the terminal will generate a push request of the target commodity, which should include the target commodity and the push strategy.

[0096] At this time, the terminal will send the push request to the server for receiving and executing by the server.

[0097] In the above manner, the merchant can realize one-key generation and execution of the commodity push strategy, greatly simplifying the related process of setting the push strategy by the merchant and improving the generation efficiency of the push strategy.

[0098] It should be noted that the generation of the push strategy and the determination process of the to-be-recommended commodity in the embodiment can refer to the foregoing embodiments, and the embodiment will not be described herein.

[0099] Figure 9 A hardware structure schematic diagram of an electronic device provided by the application is shown in Figure 9 The electronic device provided by the embodiment of the application includes a memory and a processor. The memory is configured to store at least one program instruction, and the processor is configured to execute the at least one program instruction to implement the technical solutions of the above method embodiments. The implementation principle and technical effects are similar to those of the above method-related embodiments, and will not be described herein.

[0100] The embodiment of the application provides a chip. The chip includes a processor configured to call a computer program in a memory to execute the technical solutions in the above embodiments. The implementation principle and technical effects are similar to those of the above related embodiments, and will not be described herein.

[0101] The embodiment of the present application provides a computer program product, when the computer program product is executed in an electronic device, so that the electronic device executes the technical scheme in the above embodiment. The implementation principle and technical effect are similar to the above related embodiments, and details are not repeated here.

[0102] The embodiment of the present application provides a computer readable storage medium, which stores program instructions, and the program instructions are executed in an electronic device, so that the electronic device executes the technical scheme of the above embodiment. The implementation principle and technical effect are similar to the above related embodiments, and details are not repeated here.

[0103] The above specific embodiments further detail the purpose, technical scheme and beneficial effects of the present application. It should be understood that the above is only a specific embodiment of the present application and is not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made on the basis of the technical scheme of the present application shall be included in the protection scope of the present application.

Claims

1. A method for generating a product push strategy, characterized in that: The method is applied to a server; The method comprises: According to the current terminal user's commodity page information, at least one hot commodity is determined as a to-be-pushed commodity; According to the current terminal user's historical value information when pushing historical commodities, the sales proportion information of the sales volume of the to-be-pushed commodity relative to the total sales volume of the current terminal user, and the real-time value information of other terminal users when pushing the to-be-pushed commodity, strategy display information is generated; wherein the strategy display information includes the pushing strategy of each to-be-pushed commodity; The strategy display information is sent to the current terminal user.

2. The method of claim 1, wherein, Further comprising: Receiving the pushing request sent by the current terminal user, wherein the pushing request includes the target commodity determined by the current terminal user according to the strategy display information and the pushing strategy of the target commodity; According to the pushing strategy of the target commodity, the commodity information of the target commodity is pushed.

3. The method of claim 1, wherein, The generation of the strategy display information according to the current terminal user's historical value information when pushing historical commodities, the sales proportion information of the sales volume of the to-be-pushed commodity relative to the total sales volume of the current terminal user, and the real-time value information of other terminal users when pushing the to-be-pushed commodity comprises: Determine the current terminal user's historical value information when pushing historical commodities, and the sales proportion information of the sales volume of each to-be-pushed commodity relative to the total sales volume of the current terminal user; Determine the real-time value information of other terminal users when pushing each to-be-pushed commodity; For each to-be-pushed commodity, according to the current terminal user's historical value information, the sales proportion information of the to-be-pushed commodity, and the real-time value information, determine the pushing value information of each to-be-pushed commodity; The pushing value information of each to-be-pushed commodity constitutes the pushing strategy of each to-be-pushed commodity.

4. The method of claim 3, wherein, The generation of the strategy display information according to the current terminal user's historical pushing behavior and the pushing strategy of other terminal users for the to-be-pushed commodity further comprises: Using the pushing range data of each commodity in the recommendation range database, determine the pushing range information of each to-be-pushed commodity; The pushing value information of each to-be-pushed commodity and the pushing range information constitute the pushing strategy of each to-be-pushed commodity.

5. The method according to any one of claims 1 to 4, characterized in that, Further comprising: Obtain the traffic data of each commodity, and process the traffic data to determine the commodity tags of each commodity; According to the current terminal user's commodity page information, at least one hot commodity is determined as a to-be-pushed commodity, comprising: Determine the commodity tags of each commodity in the commodity page information, select at least one commodity with a hot commodity tag as the to-be-pushed commodity.

6. The method of claim 5, wherein, According to the current terminal user's commodity page information, at least one hot commodity is determined as a to-be-pushed commodity, further comprising: Determine the current terminal user's pushing intention for each hot commodity; According to the pushing intention of each hot commodity, determine the to-be-pushed commodity.

7. The method of claim 6, wherein, The determining of the current terminal user's push willingness for each of the hot commodity includes: According to the information integrity, commodity generation time and historical push situation of each hot commodity in the commodity page information, the push willingness of the current terminal user for each hot commodity is determined.

8. A method for generating a product push strategy, characterized in that: The method is applied to a terminal; The method includes: Obtaining the strategy display information sent by the server, wherein the strategy display information includes the push strategy of at least one to-be-pushed commodity; wherein the strategy display information is generated by the server according to the historical value information of the current terminal user when pushing historical commodities, the sales proportion information of the sales of the to-be-pushed commodity relative to the total sales of the current terminal user, and the real-time value information of other terminal users when pushing the to-be-pushed commodity; Generating a push request of the target commodity according to the target commodity selected by the terminal user from the strategy display information and the push strategy corresponding to the target commodity; Sending the push request of the target commodity to the server, so that the server pushes the commodity information of the target commodity according to the push strategy of the target commodity.

9. An electronic device, comprising: It includes: At least one processor; And Memory; The memory stores computer execution instructions; The at least one processor executes the computer execution instructions stored in the memory, so that the at least one processor executes the method as claimed in claims 1-8.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer execution instructions, and when the processor executes the computer execution instructions, the method as claimed in claims 1-8 is realized.

11. A computer program product comprising computer instructions, characterized in that, The computer instructions are executed by the processor to realize the method as claimed in claims 1-8.

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