CN111159553A - Information pushing method and device, computer equipment and storage medium - Google Patents
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Abstract
The invention discloses an information pushing method and device, computer equipment and a storage medium, and belongs to the technical field of networks. According to the embodiment of the invention, the preference degree and the current inventory condition of the user on various user interaction products are positioned based on the user preference values of the various user interaction products and the target bins corresponding to the user, the products to be pushed are accurately screened according to the user preference values and the inventory quantity, and the pushing information corresponding to the products to be pushed is sent to the user, so that the products to be pushed of each user are accurately positioned according to the individual condition of each user, the conversion rate of the pushing information is improved, and the actual pushing efficiency is improved.
Description
Technical Field
The present invention relates to the field of network technologies, and in particular, to an information pushing method and apparatus, a computer device, and a storage medium.
Background
With the rapid development of networks, many network platforms can push interest information to users, such as headline news, hot videos, even hot commodities, and the like. How to generate and push information becomes a major concern to those skilled in the art.
In the related art, the information pushing process may include: obtaining the description information of the product to be pushed, selecting the pattern descriptor matched with the description information by utilizing a deep neural network, and directly splicing the pattern descriptor and the product into the advertisement pattern to be pushed.
The above process is a general push method for each network platform, however, the information push method does not aim at the special features of users of a single network platform, such as e-commerce platform, so that the conversion rate of the pushed information is low, and the actual push efficiency is poor.
Disclosure of Invention
The embodiment of the invention provides an information pushing method and device, computer equipment and a storage medium, and can solve the problems of low information conversion rate and poor actual pushing efficiency. The technical scheme is as follows:
in one aspect, an information pushing method is provided, where the method includes:
determining user preference values of various user interaction products based on product interaction operations of users on a target e-commerce platform, wherein the target e-commerce platform is used for providing various products, and the user interaction products refer to products of the various products, which are subjected to product interaction operations by the users;
determining a target bin corresponding to the user, wherein the target bin is a front bin for supplying products to the user;
screening out products to be pushed for the user from the various user interaction products according to the user preference values of the various user interaction products and the stock in the target bin;
and generating push information of the product to be pushed, and sending the push information to the user.
In one possible implementation manner, the determining user preference values of a plurality of user interaction products based on product interaction operations of users on the target e-commerce platform includes:
counting operation types of multiple product interaction operations of the user;
acquiring a weight value corresponding to each operation type and acquiring a score corresponding to each operation type;
and determining the user preference value of each user interaction product based on the weight value and the score corresponding to each operation type.
In one possible implementation manner, the obtaining the weight value corresponding to each operation type includes:
for each user interaction product, counting the total times of multiple product interaction operations of the user interaction product, and respectively counting the operation times of the product interaction operations belonging to each operation type;
and determining the ratio of the operation times included in each operation type to the total times as the weight value of each operation type.
In one possible implementation manner, the screening out the to-be-pushed product for the user from the plurality of user interaction products according to the user preference values of the plurality of user interaction products and the stock quantity at the target bin includes:
screening out a plurality of first interactive products of which the stock exceeds a target stock from the plurality of user interactive products according to the stock of each user interactive product;
and screening at least one product to be pushed, of which the user preference value meets the target condition, from the multiple first interaction products according to the user preference value of each first interaction product.
In one possible implementation, the target condition includes: and when the user preference values exceed the first target threshold value, any one of the second target threshold values is arranged in descending order according to the user preference values.
In one possible implementation manner, the generating push information of the product to be pushed, and sending the push information to the user includes:
according to the target product category to which the product to be pushed belongs, acquiring a target information template corresponding to the target product category from the corresponding relation between the plurality of product categories and the plurality of information templates;
and generating the pushing information of the product to be pushed according to the product information of the product to be pushed and the target information template, and sending the pushing information to the user.
In one possible implementation manner, the generating push information of the product to be pushed, and sending the push information to the user includes:
according to the communication channel of the user, acquiring a target information template corresponding to the communication channel of the user from the corresponding relation between the communication channels and the information templates, and generating pushing information of the product to be pushed according to the product information of the product to be pushed and the target information template;
and sending the push information to the user through the communication channel of the user.
In another aspect, an information pushing apparatus is provided, the apparatus including:
the system comprises a determining module, a processing module and a display module, wherein the determining module is used for determining user preference values of various user interaction products based on product interaction operations of users on a target e-commerce platform, the target e-commerce platform is used for providing various products, and the user interaction products refer to products of the various products, which are subjected to product interaction operations by the users;
the determining module is further configured to determine a target bin corresponding to the user, where the target bin is a pre-bin for supplying products to the user;
the screening module is used for screening out products to be pushed for the user from the various user interaction products according to the user preference values of the various user interaction products and the stock in the target bin;
and the pushing module is used for generating pushing information of the product to be pushed and sending the pushing information to the user.
In a possible implementation manner, the determining module is further configured to count operation types to which multiple product interaction operations of the user belong; acquiring a weight value corresponding to each operation type and acquiring a score corresponding to each operation type; and determining the user preference value of each user interaction product based on the weight value and the score corresponding to each operation type.
In a possible implementation manner, the determining module is further configured to count, for each user interaction product, a total number of product interaction operations of the user interaction product for a plurality of times, and count operation times of product interaction operations belonging to each operation type respectively; and determining the ratio of the operation times included in each operation type to the total times as the weight value of each operation type.
In a possible implementation manner, the screening module is further configured to screen, from the plurality of user interaction products, a plurality of first interaction products whose stock amounts exceed a target stock amount according to the stock amount of each user interaction product; and screening at least one product to be pushed, of which the user preference value meets the target condition, from the multiple first interaction products according to the user preference value of each first interaction product.
In one possible implementation, the target condition includes: and when the user preference values exceed the first target threshold value, any one of the second target threshold values is arranged in descending order according to the user preference values.
In a possible implementation manner, the pushing module is further configured to obtain, according to a target product category to which the product to be pushed belongs, a target information template corresponding to the target product category from correspondence relationships between a plurality of product categories and a plurality of information templates; and generating the pushing information of the product to be pushed according to the product information of the product to be pushed and the target information template, and sending the pushing information to the user.
In a possible implementation manner, the pushing module is further configured to obtain, according to the communication channel of the user, a target information template corresponding to the communication channel of the user from a correspondence between a plurality of communication channels and a plurality of information templates, and generate pushing information of the product to be pushed according to the product information of the product to be pushed and the target information template; and sending the push information to the user through the communication channel of the user.
In another aspect, a computer device is provided, and the computer device includes a processor and a memory, where the memory stores at least one instruction, and the instruction is loaded and executed by the processor to implement the operation performed by the information pushing method as described above.
In another aspect, a computer-readable storage medium is provided, where at least one instruction is stored, and the instruction is loaded and executed by a processor to implement the operation performed by the information push method as described above.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
the method comprises the steps of positioning the preference degree and the current inventory condition of a user on various user interaction products based on the user preference values of the various user interaction products and the target bins corresponding to the user, further accurately screening the products to be pushed according to the user preference values and the inventory quantity, and sending push information corresponding to the products to be pushed to the user, so that the products to be pushed of each user are accurately positioned according to the individual condition of each user, the conversion rate of the push information is improved, and the actual push efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of an implementation environment of an information pushing method according to an embodiment of the present invention;
fig. 2 is a flowchart of an information pushing method according to an embodiment of the present invention;
fig. 3 is a flowchart of an information pushing method according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a screening process of a first user set according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a screening process of a target user set according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a screening process of a target user set according to an embodiment of the present invention;
FIG. 7 is a flow chart illustrating operation count statistics according to an embodiment of the present invention;
FIG. 8 is a flowchart illustrating a weight value determination process according to an embodiment of the present invention;
fig. 9 is a schematic diagram of a screening process of a product to be pushed according to an embodiment of the present invention;
fig. 10 is a schematic diagram illustrating a sorting process of products to be pushed according to an embodiment of the present invention;
fig. 11 is a schematic diagram of a push information generation flow according to an embodiment of the present invention;
fig. 12 is a schematic diagram of a flow of pushing information at regular time according to an embodiment of the present invention;
fig. 13 is a schematic diagram of an information pushing process according to an embodiment of the present invention;
fig. 14 is a schematic diagram of an information pushing apparatus according to an embodiment of the present invention;
fig. 15 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic diagram of an implementation environment of an information pushing method according to an embodiment of the present invention, as shown in fig. 1, the implementation environment includes a server 101 and a terminal 102, the number of the terminal 102 may be one or more, the server 101 may be a background server of an e-commerce platform, the e-commerce platform may be installed on the terminal 102, and the server 101 and the terminal 102 may establish a communication connection based on the e-commerce platform.
In one possible implementation environment, a user may interact with a variety of products on the terminal 102, such as adding a product to a shopping cart on an e-commerce platform or clicking on a focus operation. If a user places an order for a desired product through the terminal 102, the transaction order is usually allocated to a target bin corresponding to the user by the server 101, for example, the target bin may be a front bin configured for a community where the user is located, so as to ensure that the user can achieve the delivery of the product in a short time after placing the order.
Based on the implementation environment, the server 101 may also predict products that may be required by the user based on product interaction operations of the user on the e-commerce platform, and push information of the required products to the user in real time, for example, push information of products added by the user in a shopping cart, so as to promote purchasing behavior of the user, thereby achieving the purpose of stimulating consumption.
The following describes a plurality of terms related to embodiments of the present invention:
e, E-commerce platform: the electronic commerce platform is a network platform for providing product transaction for users, a plurality of preposed bins are configured on the electronic commerce platform, a plurality of products are stored in each preposed bin, and the electronic commerce platform rapidly distributes the transacted products to the users through the plurality of preposed bins, so that an efficient and convenient network transaction process is realized. For example, the e-commerce platform may provide a full-grade product transaction, or may provide a transaction platform that is mainly a certain large class of products, for example, the e-commerce platform may be a fresh e-commerce platform, a clothing e-commerce platform, or the like.
A front bin: products distributed in a distributed manner over a geographic area are supplied to distribution centers. Typically, the e-commerce platform may be configured with a plurality of pre-warehouses within a geographic area, each pre-warehouse corresponding to a sub-area within the geographic area, and the product supply and distribution service is provided for users within the corresponding sub-area, for example, the product purchased by a user may come from one pre-warehouse located in a nearby community rather than being shipped from a pre-warehouse such as one located in a remote suburb.
Stock quantity: the pre-bin currently includes a product quantity for each product. Along with the continuous progress of the transaction, the inventory in the front warehouse is also reduced. The front-end warehouse corresponding to each sub-area can be a medium-small storage and distribution center, and the e-commerce platform can continuously distribute goods to each front-end warehouse through the central large warehouse so as to ensure that products in each front-end warehouse have a certain stock and avoid goods breakage.
User preference value: the preference value of the user is higher, which indicates that the preference degree of the user for the product is higher.
Product interactive operation: user-triggered interactions with products on the terminal 102, including but not limited to: product browsing operations, product focusing operations, product searching operations, shopping cart adding operations, purchasing operations, and the like.
User interaction product of user: the product refers to the product which is used by the user to carry out product interaction operation in various products of the e-commerce platform. Such as products viewed by the user, products purchased by the user, etc.
Communication channel: refers to an information transmission channel between a receiving device and a sending device for pushing information. In the embodiment of the present invention, the communication channel may include: a network connection channel established between the user bound device and the server, and a short message channel between the user bound mobile phone number and the server.
It should be noted that the e-commerce platform may be in the form of a separate application or a program plug-in configured in an application, for example, a separate e-commerce application may be installed on the terminal 102, or a plug-in applet of the e-commerce platform may be installed on another separate application. Types of terminals 102 include, but are not limited to: mobile terminals and fixed terminals. As an example, mobile terminals include, but are not limited to: smart phones, tablet computers, notebook computers, e-readers, and the like; the fixed terminal includes, but is not limited to, a desktop computer, and the embodiment of the present invention is not limited thereto. Exemplarily, fig. 1 is only illustrated by taking the terminal 102 as a smart phone. The server 101 may be an independent server, or may be a server cluster composed of a plurality of servers, which is also not specifically limited in this embodiment of the present invention.
Fig. 2 is a flowchart of an information pushing method according to an embodiment of the present invention. The execution subject of the embodiment of the present invention may be a computer device, and the computer device may be any electronic device. Referring to fig. 2, the method includes:
201. determining user preference values of various user interaction products based on product interaction operation of a user on a target e-commerce platform, wherein the target e-commerce platform is used for providing various products, and the user interaction product refers to a product of the various products, which is subjected to product interaction operation by the user;
202. determining a target bin corresponding to the user, wherein the target bin is a front bin for supplying products to the user;
203. screening out products to be pushed for the user from the various user interaction products according to the user preference values of the various user interaction products and the inventory in the target bin;
204. and generating push information of the product to be pushed, and sending the push information to the user.
In one possible implementation, the determining user preference values for a plurality of user-interactive products based on product interactions by users at the target e-commerce platform includes:
counting operation types of multiple product interaction operations of the user;
acquiring a weight value corresponding to each operation type and acquiring a score corresponding to each operation type;
and determining the user preference value of each user interaction product based on the weight value and the score corresponding to each operation type.
In one possible implementation manner, the obtaining the weight value corresponding to each operation type includes:
for each user interaction product, counting the total times of multiple product interaction operations of the user interaction product, and respectively counting the operation times of the product interaction operations belonging to each operation type;
and determining the ratio of the number of times of the operation included in each operation type to the total number of times as the weight value of each operation type.
In one possible implementation, the screening out the to-be-pushed product for the user from the plurality of user-interaction products according to the user preference values of the plurality of user-interaction products and the inventory at the target bin comprises:
screening out a plurality of first interactive products of which the stock exceeds a target stock from the plurality of user interactive products according to the stock of each user interactive product;
and screening at least one product to be pushed, of which the user preference value meets the target condition, from the multiple first interaction products according to the user preference value of each first interaction product.
In one possible implementation, the target condition includes: and when the user preference values exceed the first target threshold value, any one of the second target threshold values is arranged in descending order according to the user preference values.
In one possible implementation manner, the generating push information of the product to be pushed, and sending the push information to the user includes:
according to the target product category to which the product to be pushed belongs, acquiring a target information template corresponding to the target product category from the corresponding relation between the plurality of product categories and the plurality of information templates;
and generating the pushing information of the product to be pushed according to the product information of the product to be pushed and the target information template, and sending the pushing information to the user.
In one possible implementation manner, the generating push information of the product to be pushed, and sending the push information to the user includes:
according to the communication channel of the user, acquiring a target information template corresponding to the communication channel of the user from the corresponding relation between the communication channels and the information templates, and generating pushing information of the product to be pushed according to the product information of the product to be pushed and the target information template;
and sending the push information to the user through the communication channel of the user.
In the embodiment of the invention, the preference degree and the current inventory condition of the user on various user interaction products are positioned based on the user preference values of the various user interaction products and the target bins corresponding to the user, the products to be pushed are accurately screened according to the user preference values and the inventory quantity, and the pushing information corresponding to the products to be pushed is sent to the user, so that the products to be pushed of each user are accurately positioned according to the individual condition of each user, the conversion rate of the pushing information is improved, and the actual pushing efficiency is improved.
Fig. 3 is a flowchart of an information pushing method according to an embodiment of the present invention. The execution subject of the embodiment of the invention can be computer equipment, and the computer equipment can be a server. Referring to fig. 3, the method includes:
301. the server determines a set of target users.
The target user set comprises a plurality of users, and the users are a user group set of the current information to be pushed. In the embodiment of the invention, the server can screen out the user group needing information push from the user pool of the target e-commerce platform, and then further screen out the target user set which can be effectively touched based on whether the user can effectively receive the push information.
In a possible implementation manner, the server may screen a first user set that needs to perform information pushing from a large number of users of the target e-commerce platform through user images, and the server obtains whether each user in the first user set has a communication channel, and screens a plurality of users having communication channels in the first user set as a target user set. Wherein, the communication channel refers to a communication channel through which the terminal of the user can receive push information, and the communication channel may include: a network connection channel established between the bound equipment and the server, and a short message channel between the bound mobile phone number and the server. For example, the bound terminal receives push information of the server and displays the push information in a notification message of the e-commerce application. Or the mobile phone with the bound mobile phone number receives and displays the push information in a short message mode.
In a specific example, as shown in the first user set filtering process shown in fig. 4, the server first obtains a user pool of the target e-commerce platform, where the user pool includes a large number of users of the e-commerce platform, that is, the entire users of the target e-commerce platform. The server takes the user group to be pushed at this time as a user group expected to be reached, and a first user set is preliminarily screened out from the user pool according to the user figures of mass users in the user pool. The user representation may include user data for multiple dimensions of the user, for example, the user representation may include a geographic location of the user, an age of the user, and so forth. If the information is pushed to the users in the north China, the terminal can acquire the geographic positions of the users from the user portrait, and the first user set located in the north China is screened out according to the geographic positions of the users.
In one particular example, the server may filter out a set of target users based on communication channels through an active user filter. As shown in fig. 5, for each user in the first set of users, the server may determine whether the user corresponds to a unique communication channel, and if the user corresponds to a unique communication channel, determine the user as a user included in the target set of users. Taking a network connection channel and a short message channel as an example, the server determines whether the user has the unique binding equipment, and if the user has the unique binding equipment, the user is screened as the user in the target user set; if a plurality of binding devices exist, screening out the device with the latest login time of the user from the plurality of binding devices, taking the screened device as the push information receiving device of the user, and screening the user as the user in the target user set; if no bound device exists, the user is ignored. Or the server determines whether the user has the unique bound mobile phone number, and if the unique bound mobile phone number exists, the user is screened as the user in the target user set; if a plurality of bound mobile phone numbers exist, screening out the bound mobile phone number which is the closest to the user login time in the plurality of bound mobile phone numbers, taking the screened bound mobile phone number as the mobile phone number of the user for receiving the push information, and screening the user as the user in the target user set; and if any bound mobile phone number does not exist, ignoring the user, and screening out a target user set based on the two communication channels. Further, the server may determine a channel scene corresponding to each user based on communication channels corresponding to different users, so as to finally determine a target user set capable of being effectively reached. In short, as shown in fig. 6, the server further screens a target user set from the first user set by screening the first user set as an operating user group and screening by an effective user filter, determines a communication channel corresponding to each user, and finally determines an effectively reached target user set.
302. The server determines user preference values of various user interaction products based on product interaction operations of users on the target e-commerce platform.
The target e-commerce platform is used for providing various products, and the user interaction product refers to a product of the various products, wherein the product is used for product interaction operation of the user. Each user-interactive product corresponds to at least one product interaction operation, the server may previously store scores of the product interaction operations of each operation type, and the user preference value may be determined based on the scores of the product interaction operations, and the process may include: the server may determine a product interaction corresponding to the user interaction product, obtain a score for the product interaction, and determine the score for the product interaction as a user preference value for the user interaction product. When the user interaction product corresponds to multiple times of product interaction operations or multiple product interaction operations, the server can also accumulate scores corresponding to multiple product interaction operations respectively corresponding to the same user interaction product, and determine the accumulated score as the user preference value of the user interaction product.
In one possible implementation, the server may divide the plurality of product interactions into a plurality of operation types, and the score of each product interaction may be determined based on the operation type to which the product interaction belongs. In addition, the server may also set a weight value for each operation type first, and determine a final user preference value based on the weight value. The process may include: the server counts the operation types of multiple product interaction operations of the user; the server acquires a weight value corresponding to each operation type and a score corresponding to each operation type; the server determines a user preference value for each user interaction product based on the weight value and the score corresponding to each operation type. The scores of each operation type may be the same or different, and the specific numerical value may be set and changed based on needs, which is not specifically limited in the embodiment of the present invention. For example, the product browsing operation may score 100, the product focus operation may score 200, the product search operation may score 100, the shopping cart plus operation may score 300, the purchase operation may score 400; as another example, each operation type may also have a score of 200.
In one example, the server may determine the user preference value of each user interaction product according to the weight value and the score corresponding to each operation type by the following formula one:
the formula I is as follows:
wherein score represents a user preference value of a user interaction product, represents a weight value corresponding to an operation type, m represents m operation types, and w representsmA corresponding weight value representing the mth operation type; sku represents the score corresponding to the operation type, n represents the number of product interactive operations included in the same operation type, and sku represents the number of product interactive operations included in the same operation typenRepresenting the scores of n product interactions included in the same operation type.
In a specific example, the server may determine the operation score corresponding to the same operation type by accumulating scores of multiple product interactions belonging to the same operation type, and for each user interaction product, the server determines the user preference value of each user interaction product according to multiple operation types to which multiple product interactions corresponding to the user interaction product belong, a weight value and a score corresponding to each operation type, and the number of product interactions included in the same operation type, by using the following formula two:
the formula II is as follows:
wherein skuiRepresents the score of the ith product interaction operation in the n product interaction operations included in the same operation type.
In a possible implementation manner, the server may further determine an operation type preferred by the user according to the number of product interaction operations included in each operation type, and determine a weight value corresponding to each operation type based on the preference degree of the user for each operation type. The process may include: for multiple product interactive operations of each user interactive product, the server counts the total times of the multiple product interactive operations and respectively counts the operation times of the product interactive operations belonging to each operation type; the server determines the ratio of the operation times included in each operation type to the total times as the weight value of each operation type. In one specific example, the server may count a number of operations performed by the user over a period of time, thereby determining a corresponding weight value based on the user's preference for each operation type over the period of time. For example, as shown in fig. 7, the server may obtain a plurality of product interactions of the user on the product a in the last 90 days, and count the operation times of the product interactions included in different operation types, for example, the operation times of each operation such as a purchase operation, a click operation, a shopping cart adding operation, and the like. As shown in fig. 8, the server performs weight value calculation according to a ratio based on the operation times of each operation, for example, calculates a weight value of a purchase operation, a weight value of a click operation, a weight value of a shopping cart operation, and the like, respectively, and performs comprehensive calculation based on a plurality of weight values to ensure that the sum of the plurality of weight values is 1.
For example, the operation types include a browsing operation for product a, a focusing operation for product a, a searching operation for product a, a shopping cart adding operation for product a, and a purchasing operation for product a. The number of operations of the user in browsing the product a in the last 90 days may be 4, the number of operations of the focus operation may be 2, the number of operations of the search operation may be 1, the number of operations of the shopping cart adding operation may be 2, and the number of operations of the purchase operation may be 1; the weight value of the product browsing operation may be 0.4, the weight value of the product focusing operation may be 0.2, the weight value of the product searching operation may be 0.1, the weight value of the shopping cart adding operation may be 0.2, and the weight value of the purchasing operation may be 0.1. The server outputs a weight value for each operation type, thereby further calculating a weighted score for each user-interactive product based on the calculated weight value and a score corresponding to each operation type.
It should be noted that the server may determine the weight value for each user interaction product, so as to precisely locate the weight value matched with the product itself for each user interaction product based on the user operation, more accurately describe the interaction operation preferred by the user for each user interaction product, and calculate the user preference value based on the weight value of the accurate location operation preference degree, so that the user preference value can accurately describe the preference degree of the user for each product from multiple operation types, thereby greatly improving the accuracy of the user preference value, enabling the subsequently pushed information to be more accurately aimed at the preference of the user, and further improving the conversion rate of the pushed information.
303. The server determines a target bin corresponding to the user.
The target bin is a front bin for supplying products to the user; in the embodiment of the invention, the target bin information corresponding to the user can be acquired through the identification information of the user. Illustratively, the identification information may be a user ID, such as a user name, a phone number, etc. that the user fills in when registering on the associated application. And the target bin information may be ID information of the target bin.
In the embodiment of the invention, the target e-commerce platform is provided with a plurality of front-end bins, each front-end bin corresponds to a sub-area range, and the server can determine the target bin based on the geographical position of the user or the historical trading order of the user. In one possible embodiment, the target bin of the user may be a target bin that the user has placed an order, that is, the target bin is a front bin in which the user has a product transaction behavior. For example, the determination of the target bin includes, but is not limited to: the server acquires a historical transaction record of a user in a target time period, extracts a product distribution address of the user from the historical transaction record, and according to a target bin corresponding to a sub-region range to which the product distribution address belongs. Alternatively, the server may directly extract the historical pre-bin in the historical transaction process from the historical transaction record, and use the historical pre-bin as the target bin. For example, the target bin may be a lead bin that was delivered to the user in a historical transaction record over 90 days of history. In another possible implementation manner, each pre-bin corresponds to one sub-area range, and the server searches a target bin corresponding to the sub-area range to which the geographic position belongs from the plurality of pre-bins according to the geographic position of the user. For example, if the user is located at geographic location a1, the target bin may be the leading bin corresponding to community a to which a1 belongs.
304. And the server screens out the products to be pushed for the user from the various user interaction products according to the user preference values of the various user interaction products and the inventory in the target bin.
In the embodiment of the invention, the server can screen out the products to be pushed, which have higher user preference degree and can be timely delivered to the target warehouse according to the user preference value and the stock. In this step, the server may screen out, from the plurality of user interaction products, a plurality of first interaction products whose stock amounts exceed a target stock amount according to the stock amount of each user interaction product; the server screens out at least one product to be pushed from the multiple first interaction products according to the user preference value of each first interaction product, wherein the user preference value of the product meets the target condition. Wherein the target conditions include: and when the user preference values exceed the first target threshold value, any one of the second target threshold values is arranged in descending order according to the user preference values. The target inventory amount, the first target threshold value and the second target threshold value may be set based on needs, which is not specifically limited in the embodiment of the present invention. For example, the target inventory amount may be 10, the first target threshold may be 500, and the second target threshold may be 3.
The server can select one or more products to be pushed in turn according to the sequence of the user preference values from large to small, or the server can also screen the products to be pushed according to a certain threshold condition. In a possible implementation manner, the server may sort the plurality of first interactive products in a descending order according to the user preference value, and sequentially screen the one or more products to be pushed which are located at the previous second target threshold value from large to small according to the sort order screen. In a specific example, the server may further perform descending order arrangement on the multiple user interaction products according to the user preference value, sequentially search the inventory of each user interaction product from the user interaction product corresponding to the maximum value of the user preference value according to the descending order arrangement order, determine that the current user interaction product is a product to be pushed if the inventory of the current user interaction product exceeds a target inventory, ignore the current user interaction product if the inventory of the current user interaction product does not exceed the target inventory, continue to perform screening based on the inventory of the next user interaction product according to the arrangement order until the number of types of screened products to be pushed reaches a second target threshold, and end.
For example, as shown in fig. 9, the server determines a target bin corresponding to each user one by one based on the users included in the target user set, for multiple user interaction products of each user, arranges the multiple user interaction products in a descending order according to the user preference values, matches each user interaction product with the products included in the target bin one by one according to the descending order, finds the stock of each user interaction product in the target bin, determines that there is stock if the stock is greater than the target stock, outputs the current user interaction product as a product to be pushed, and excludes the current user interaction product as a product to be pushed if the stock is not greater than the target stock. Then, the screening is carried out continuously according to the arrangement sequence. Until a second target threshold value variety of products to be pushed is screened out. Further, as shown in fig. 10, the server may further perform descending order arrangement on the products to be pushed of the second target threshold according to the user preference value, so as to output multiple products to be pushed and a descending order arrangement order of the multiple products to be pushed.
In another possible embodiment, the server may also store the first target threshold in advance, or the server may determine the first target threshold based on user preference values of a plurality of first interactive products, for example, the server may count a maximum value of the user preference values of the plurality of first interactive products, determine the first target threshold according to the maximum value and a fluctuation value, and screen out one or more products to be pushed based on the first target threshold. For example, if the server counts that the maximum value is 1000, and the fluctuation value may be 200, the server may use the difference 800 between 1000 and 200 as the first target threshold, that is, the server screens out one or more products to be pushed whose user preference value exceeds 800.
305. The server generates the push information of the product to be pushed and sends the push information to the user.
In the embodiment of the present invention, as shown in fig. 11, the server may further perform matching of information templates for products to be pushed, so as to select a corresponding information template to generate push information. This step may include: and the server screens out a target information template matched with the pushing characteristics from the information template pool according to the pushing characteristics of the product to be pushed, generates pushing information according to the target information template, and sends the pushing information to the user. The pushing feature may include a target product category to which the product to be pushed belongs, or the pushing feature may also include a communication channel of the product to be pushed. The product category can be set according to needs, for example, the product category to which the apple and the banana belong can be fruits, and the product category to which the towel and the electric toothbrush belong can be daily department goods.
Accordingly, based on the above push features, this step can be implemented in the following two ways.
The first way, the pushing feature, includes the target product category to which the product to be pushed belongs. The server acquires a target information template corresponding to the target product type from the corresponding relation between a plurality of product types and a plurality of information templates according to the target product type to which the product to be pushed belongs; the server generates the pushing information of the product to be pushed according to the product information of the product to be pushed and the target information template, and sends the pushing information to the user.
The server can pre-store a plurality of product categories and information templates corresponding to the product categories, and further realize product category-based template screening. Wherein the product information may include, but is not limited to: the name, selling price, etc. of the product to be pushed. For example, the server acquires a target information template corresponding to fruits to generate pushing information of apples, and generates pushing information of the electric toothbrush based on the target information template of daily department goods.
The second way, the push feature, includes the communication channel of the product to be pushed. The server acquires a target information template corresponding to the communication channel of the user from the corresponding relation between a plurality of communication channels and a plurality of information templates according to the communication channel of the user, and generates pushing information according to the product information of the product to be pushed and the target information template; the server sends the push information to the user through the communication channel.
The information template corresponding to the short message channel may include: text, website links, etc. The information template corresponding to the network connection channel may include: information in the form of text, pictures, video, etc. The server can pre-store the information template corresponding to each communication channel, thereby realizing template screening based on the communication channels.
The server may generate the push information by combining the two methods. For example, the server may first obtain a plurality of information templates corresponding to the communication channel of the user based on the communication channel, and further screen out a target information template corresponding to a target product category from the plurality of information templates according to the target product category.
In one possible example, as shown in fig. 12, the server may further obtain an active time of the user based on the user representation, and when the current time is the active time of the user, the server sends the push information to the user.
In order to more clearly describe the above information pushing process, the following describes an overall flow of the embodiment of the present invention with reference to an information pushing flow shown in fig. 13. As shown in fig. 13, the server screens out the first user set pushed this time from the massive users in the user pool, and continues to screen out the target user set that can be effectively reached from the first user set. The server obtains product interaction operation of each user in the target user set within a certain period, determines a weight value corresponding to an operation type based on multiple product interaction operations, and determines user preference values of various user interaction products based on the weight value and the score corresponding to the operation type. The server continuously searches the stock of the user interaction products from the target bin according to the descending order of the user preference values, so as to screen out one or more products to be pushed which have higher user preference values and are stored, the server obtains product information such as selling price and name of the products to be pushed, screens out target template information from the template pool, generates corresponding push information based on the product information and the target template information, outputs the push information, and sends the push information to the user, thereby realizing the information pushing process.
In the embodiment of the invention, the preference degree and the current inventory condition of the user on various user interaction products are positioned based on the user preference values of the various user interaction products and the target bins corresponding to the user, the products to be pushed are accurately screened according to the user preference values and the inventory quantity, and the pushing information corresponding to the products to be pushed is sent to the user, so that the products to be pushed of each user are accurately positioned according to the individual condition of each user, the conversion rate of the pushing information is improved, and the actual pushing efficiency is improved.
Fig. 14 is a schematic diagram of an information pushing apparatus according to an embodiment of the present invention, and as shown in fig. 14, the apparatus includes:
a determining module 1401, configured to determine user preference values of multiple user interaction products based on product interaction operations of a user on a target e-commerce platform, where the target e-commerce platform is used to provide multiple products, and the user interaction product is a product in the multiple products, where the user performs product interaction operations;
the determining module 1401 is further configured to determine a target bin corresponding to the user, where the target bin is a pre-bin for supplying a product to the user;
a screening module 1402, configured to screen out products to be pushed for the user from the multiple user interaction products according to the user preference values of the multiple user interaction products and the inventory in the target warehouse;
the pushing module 1403 is configured to generate pushing information of the product to be pushed, and send the pushing information to the user.
In one possible implementation, the determining module 1401 is further configured to count operation types to which multiple product interactions of the user belong; acquiring a weight value corresponding to each operation type and acquiring a score corresponding to each operation type; and determining the user preference value of each user interaction product based on the weight value and the score corresponding to each operation type.
In a possible implementation manner, the determining module 1401 is further configured to count, for each user interaction product, a total number of product interactions of the user interaction product, and count operation times of product interactions belonging to each operation type respectively; and determining the ratio of the number of times of the operation included in each operation type to the total number of times as the weight value of each operation type.
In a possible implementation manner, the screening module 1402 is further configured to screen, from the plurality of user interaction products, a plurality of first interaction products whose stock amounts exceed a target stock amount according to the stock amount of each user interaction product; and screening at least one product to be pushed, of which the user preference value meets the target condition, from the multiple first interaction products according to the user preference value of each first interaction product.
In one possible implementation, the target condition includes: and when the user preference values exceed the first target threshold value, any one of the second target threshold values is arranged in descending order according to the user preference values.
In a possible implementation manner, the pushing module 1403 is further configured to obtain, according to a target product category to which the product to be pushed belongs, a target information template corresponding to the target product category from correspondence between multiple product categories and multiple information templates; and generating the pushing information of the product to be pushed according to the product information of the product to be pushed and the target information template, and sending the pushing information to the user.
In a possible implementation manner, the pushing module 1403 is further configured to obtain a target information template corresponding to the communication channel of the user from the correspondence between the plurality of communication channels and the plurality of information templates according to the communication channel of the user, and generate pushing information of the product to be pushed according to the product information of the product to be pushed and the target information template; and sending the push information to the user through the communication channel of the user.
In the embodiment of the invention, the preference degree and the current inventory condition of the user on various user interaction products are positioned based on the user preference values of the various user interaction products and the target bins corresponding to the user, the products to be pushed are accurately screened according to the user preference values and the inventory quantity, and the pushing information corresponding to the products to be pushed is sent to the user, so that the products to be pushed of each user are accurately positioned according to the individual condition of each user, the conversion rate of the pushing information is improved, and the actual pushing efficiency is improved.
All the above optional technical solutions may be combined arbitrarily to form the optional embodiments of the present disclosure, and are not described herein again.
It should be noted that: in the information pushing apparatus provided in the foregoing embodiment, only the division of the function modules is illustrated in the foregoing, and in practical applications, the function distribution may be completed by different function modules according to needs, that is, the internal structure of the computer device is divided into different function modules to complete all or part of the functions described above. In addition, the information pushing apparatus and the information pushing method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.
Fig. 15 is a schematic structural diagram of a server 1500 according to an embodiment of the present invention, where the server 1500 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 1501 and one or more memories 1502, where the memory 1502 stores at least one instruction, and the at least one instruction is loaded and executed by the processor 1501 to implement the information pushing method provided by each method embodiment. Of course, the server may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input/output, and the server may also include other components for implementing the functions of the device, which are not described herein again.
In an exemplary embodiment, a computer-readable storage medium, such as a memory, including instructions executable by a processor in a terminal or a server to perform the information pushing method in the above embodiments is also provided. For example, the computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. An information pushing method, characterized in that the method comprises:
determining user preference values of various user interaction products based on product interaction operations of users on a target e-commerce platform, wherein the target e-commerce platform is used for providing various products, and the user interaction products refer to products of the various products, which are subjected to product interaction operations by the users;
determining a target bin corresponding to the user, wherein the target bin is a front bin for supplying products to the user;
screening out products to be pushed for the user from the various user interaction products according to the user preference values of the various user interaction products and the stock in the target bin;
and generating push information of the product to be pushed, and sending the push information to the user.
2. The method of claim 1, wherein determining user preference values for a plurality of user-interactive products based on product interactions by a user at a target e-commerce platform comprises:
counting operation types of multiple product interaction operations of the user;
acquiring a weight value corresponding to each operation type and acquiring a score corresponding to each operation type;
and determining the user preference value of each user interaction product based on the weight value and the score corresponding to each operation type.
3. The method according to claim 2, wherein the obtaining the weight value corresponding to each operation type comprises:
for each user interaction product, counting the total times of multiple product interaction operations of the user interaction product, and respectively counting the operation times of the product interaction operations belonging to each operation type;
and determining the ratio of the operation times included in each operation type to the total times as the weight value of each operation type.
4. The method of claim 1, wherein the screening the plurality of user-interactive products for the user for products to be pushed based on the user preference values of the plurality of user-interactive products and the inventory at the target bin comprises:
screening out a plurality of first interactive products of which the stock exceeds a target stock from the plurality of user interactive products according to the stock of each user interactive product;
and screening at least one product to be pushed, of which the user preference value meets the target condition, from the multiple first interaction products according to the user preference value of each first interaction product.
5. The method of claim 4, wherein the target conditions comprise: and when the user preference values exceed the first target threshold value, any one of the second target threshold values is arranged in descending order according to the user preference values.
6. The method of claim 1, wherein the generating push information for the product to be pushed, the sending the push information to the user comprises:
according to the target product category to which the product to be pushed belongs, acquiring a target information template corresponding to the target product category from the corresponding relation between the plurality of product categories and the plurality of information templates;
and generating the pushing information of the product to be pushed according to the product information of the product to be pushed and the target information template, and sending the pushing information to the user.
7. The method of claim 1, wherein the generating push information for the product to be pushed, the sending the push information to the user comprises:
according to the communication channel of the user, acquiring a target information template corresponding to the communication channel of the user from the corresponding relation between the communication channels and the information templates, and generating pushing information of the product to be pushed according to the product information of the product to be pushed and the target information template;
and sending the push information to the user through the communication channel of the user.
8. An information pushing apparatus, characterized in that the apparatus comprises:
the system comprises a determining module, a processing module and a display module, wherein the determining module is used for determining user preference values of various user interaction products based on product interaction operations of users on a target e-commerce platform, the target e-commerce platform is used for providing various products, and the user interaction products refer to products of the various products, which are subjected to product interaction operations by the users;
the determining module is further configured to determine a target bin corresponding to the user, where the target bin is a pre-bin for supplying products to the user;
the screening module is used for screening out products to be pushed for the user from the various user interaction products according to the user preference values of the various user interaction products and the stock in the target bin;
and the pushing module is used for generating pushing information of the product to be pushed and sending the pushing information to the user.
9. A computer device, comprising a processor and a memory, wherein the memory stores at least one instruction, and the instruction is loaded and executed by the processor to implement the operation performed by the information pushing method according to any one of claims 1 to 7.
10. A computer-readable storage medium, wherein at least one instruction is stored in the storage medium, and the instruction is loaded and executed by a processor to implement the operation performed by the information pushing method according to any one of claims 1 to 7.
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Application publication date: 20200515 |