WO2021180104A1 - 消息推送方法和系统、客户端、存储介质及处理器 - Google Patents

消息推送方法和系统、客户端、存储介质及处理器 Download PDF

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Publication number
WO2021180104A1
WO2021180104A1 PCT/CN2021/079885 CN2021079885W WO2021180104A1 WO 2021180104 A1 WO2021180104 A1 WO 2021180104A1 CN 2021079885 W CN2021079885 W CN 2021079885W WO 2021180104 A1 WO2021180104 A1 WO 2021180104A1
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Prior art keywords
target
message
push message
push
target object
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PCT/CN2021/079885
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English (en)
French (fr)
Inventor
华立锋
吴昌晶
方非
贾荣飞
赵斌强
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Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/21—Monitoring or handling of messages
    • H04L51/214—Monitoring or handling of messages using selective forwarding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/40—Support for services or applications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/07—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail characterised by the inclusion of specific contents
    • H04L51/18—Commands or executable codes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services

Definitions

  • This application relates to the field of message uploading, and in particular, to a message pushing method and system, a client, a storage medium, and a processor.
  • the push system and message system as active user access channels, carry the responsibilities of increasing user activity, maintaining user stickiness, and promoting user transactions. Especially during marketing activities, the push system and messaging system will reach users more frequently and on a larger scale to increase the overall number of active users and total turnover.
  • the offline message push system based on the server (that is, circle the fixed group of people, and reach users through the downlink channel at a fixed point) is limited by the computing power of the server and the capacity of the message channel, and has the following drawbacks: the downlink channel capacity is limited, It is difficult to respond to more than one million QPS pushes (Queries Per Second, query rate per second). For example, a large number of red envelopes are issued at a specific time, and the number of users is limited; it is difficult to perceive user intentions and status in real time and achieve accurate push, which is easy to cause users Disturbances, such as red envelopes giving out repeated reminders.
  • the offline message push method based on the server is limited by the capacity of the message channel on the server side, and it is difficult to respond to the problem of message push with a query rate of one million per second.
  • the embodiments of the present application provide a message pushing method and system, a client, a storage medium, and a processor, so as to at least solve the problem that the offline message pushing method based on the server in the related technology is limited by the capacity of the message channel on the server, and it is difficult to respond.
  • a message pushing method including: a client obtains target data of a target object, where the target data includes at least: interactive behavior data of the target object; the client combines the target data with pre-stored Matches at least one push message to determine the target push message; the client displays the target push message to the target object.
  • a message pushing method including: a client displaying an interaction result in an interactive interface, wherein the interaction result is generated by interacting with a target object;
  • the target push message is shown in, where the target push message is determined by matching target data of the target object with at least one pre-stored push message, and the target data includes at least: interactive behavior data of the target object.
  • a message push system including: a server, used to send push messages;
  • the target data is matched with at least one pre-stored push message, the target push message is determined, and the target push message is displayed to the target object.
  • the target data includes at least: interactive behavior data of the target object.
  • a client terminal including: a memory for storing at least one push message; a trigger for collecting target data of a target object, wherein the target data includes at least: target The interactive behavior data of the object; the processor, which is connected to the memory and the trigger, is used to match the target data with at least one push message to determine the target push message; the display, which is connected to the processor, is used to display the target push message to the target object .
  • a storage medium is also provided.
  • the storage medium includes a stored program, wherein the device where the storage medium is located is controlled to execute the above message pushing method when the program is running.
  • a processor which is configured to run a program, wherein the above-mentioned message pushing method is executed when the program is running.
  • a message push system including: a processor; and a memory, connected to the processor, and configured to provide the processor with instructions for processing the following processing steps: obtaining the target of the target object Data, where the target data includes at least: interactive behavior data of the target object; matching the target data with at least one pre-stored push message to determine the target push message; displaying the target push message to the target object.
  • the push message is delivered to the client by the server in advance, and the client locally determines the target push message displayed to the target object, which is no longer limited by the channel capacity, so that billions of messages per second can be achieved
  • the target push message is determined based on the target data of the target object, so that real-time user status awareness can be realized, and more accurate message reach can be achieved. Therefore, it saves server overhead and improves reach effect.
  • the technical effect of reachability solves the technical problem that the offline message push method based on the server side in related technologies is limited by the capacity of the message channel on the server side, and it is difficult to respond to the technical problem of message push with a query rate of one million per second.
  • Fig. 1 is a block diagram of the hardware structure of a computer terminal for implementing a message pushing method according to an embodiment of the present application
  • Fig. 2 is a flowchart of a message pushing method according to an embodiment of the present application
  • Fig. 3 is a schematic diagram of an optional push message push example according to an embodiment of the present application.
  • Fig. 4 is a schematic diagram of an optional push message system according to an embodiment of the present application.
  • Fig. 5 is a flowchart of another message pushing method according to an embodiment of the present application.
  • Fig. 6 is a schematic diagram of a message pushing device according to an embodiment of the present application.
  • Fig. 7 is a schematic diagram of another message pushing device according to an embodiment of the present application.
  • Fig. 8 is a schematic diagram of a message push system according to an embodiment of the present application.
  • Fig. 9 is a schematic diagram of a client according to an embodiment of the present application.
  • Fig. 10 is a structural block diagram of a computer terminal according to an embodiment of the present application.
  • Edge computing Different from cloud computing, it can mean that the computing power is distributed on the client side and the computing requirements are fulfilled.
  • Buried message Or called pre-push message, it can refer to a message that is delivered to the client in advance and is not displayed immediately.
  • Message on the screen It can mean that the push message is displayed to the user.
  • a message push method is provided. It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a set of computer-executable instructions. The logical order is shown in, but in some cases, the steps shown or described can be performed in a different order than here.
  • FIG. 1 shows a block diagram of the hardware structure of a computer terminal (or mobile device) for implementing the message pushing method.
  • the computer terminal 10 may include one or more (shown in the figure as 102a, 102b, ..., 102n) processor 102 (the processor 102 may include, but is not limited to, a micro A processing device such as a processor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission device 106 for communication functions.
  • a micro A processing device such as a processor MCU or a programmable logic device FPGA
  • memory 104 for storing data
  • a transmission device 106 for communication functions.
  • the computer terminal 10 can also include: display, input/output interface (I/O interface), universal serial bus (USB) port (can be included as one of the BUS ports), network interface, power supply and/ Or camera.
  • I/O interface input/output interface
  • USB universal serial bus
  • FIG. 1 is only for illustration, and does not limit the structure of the above electronic device.
  • the computer terminal 10 may also include more or fewer components than those shown in FIG. 1 or have a different configuration from that shown in FIG. 1.
  • the aforementioned one or more processors 102 and/or other data processing circuits may generally be referred to as "data processing circuits" herein.
  • the data processing circuit can be embodied in whole or in part as software, hardware, firmware or any other combination.
  • the data processing circuit may be a single independent processing module, or be fully or partially integrated into any one of the other elements in the computer terminal 10 (or mobile device).
  • the data processing circuit is used as a kind of processor control (for example, selection of a variable resistance terminal path connected to an interface).
  • the memory 104 may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the message push method in the embodiment of the present application.
  • the processor 102 executes the software programs and modules stored in the memory 104 by running Various functional applications and data processing realize the above-mentioned message push method.
  • the memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory.
  • the memory 104 may further include a memory remotely provided with respect to the processor 102, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
  • the transmission device 106 is used to receive or send data via a network.
  • the above-mentioned specific examples of the network may include a wireless network provided by the communication provider of the computer terminal 10.
  • the transmission device 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet.
  • the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet in a wireless manner.
  • RF radio frequency
  • the display may, for example, be a touch screen liquid crystal display (LCD), which may enable a user to interact with the user interface of the computer terminal 10 (or mobile device).
  • LCD liquid crystal display
  • the computer device (or mobile device) shown in FIG. 1 may include hardware elements (including circuits) and software elements (including a computer stored on a computer-readable medium). Code), or a combination of hardware and software components.
  • FIG. 1 is only one example of a specific specific example, and is intended to show the types of components that may be present in the above-mentioned computer device (or mobile device).
  • FIG. 2 is a flowchart of a message pushing method according to an embodiment of the present application. As shown in Figure 2, the method includes the following steps:
  • Step S202 The client obtains target data of the target object, where the target data at least includes: interactive behavior data of the target object.
  • the client in the above steps can be an application program installed in a computer terminal or a mobile terminal, and the target object can be a user operating the client, for example, the owner of a computer terminal or a mobile terminal, where the mobile terminal can be a smart phone (such as Android phones, iOS phones, etc.), tablets, handheld computers, mobile Internet devices (MID) and PAD terminals, but not limited to these.
  • the target object can be a user operating the client, for example, the owner of a computer terminal or a mobile terminal, where the mobile terminal can be a smart phone (such as Android phones, iOS phones, etc.), tablets, handheld computers, mobile Internet devices (MID) and PAD terminals, but not limited to these.
  • MID mobile Internet devices
  • the user completes the interaction with the client by operating the client.
  • the client can detect each user's interaction behavior and record the corresponding interaction behavior data. Users usually interact according to their own preferences. Therefore, the user's interactive behavior data reflects the user's state and intentions.
  • the user's interactive behavior data on the client can be collected and stored in real time during the interaction between the user and the client. Among them, The interactive behavior data is stored in the form of interactive behavior logs.
  • the client can be an application provided by an e-commerce shopping platform.
  • users can achieve shopping, view order details, or view logistics details.
  • the interactive behavior detected by the client can include entering the homepage, searching for products, browsing products, placing an order for payment, viewing order details, viewing logistics details, returning to the order, etc., but it is not limited to this.
  • the client can be an application provided by a live broadcast platform.
  • the interaction behavior detected by the client can include entering the homepage, searching the live room, entering the live room to watch, interacting with the host, etc., but it is not limited to this.
  • step S204 the client terminal matches the target data with at least one pre-stored push message, and determines the target push message.
  • the push message in the above steps may refer to the embedded message delivered in advance by the server, and the server may deliver the embedded message to the client before the screen time period of the embedded message, and store it in the database of the client.
  • the target push message may be a screened out pre-buried message that meets the user's status and intention.
  • the server only completes the generation, configuration, and delivery of the embedded message, and the entire matching process is completed by the client itself.
  • Step S206 the client terminal displays the target push message to the target object.
  • the push in the above steps may refer to the message on the screen, that is, the target push message is displayed in the client, but it is not limited to this, and may also be a voice broadcast.
  • the target push message can be "Kamakura" teaching you to choose a suitable size shirt in one minute, and the message can be displayed on the top of the client.
  • each time the client detects the user's interactive behavior it can match the interactive behavior data with the embedded messages stored in the database, and filter out all the embedded messages that are consistent with the user. Pre-buried messages of status and intent, and display the filtered pre-buried messages to users to complete more accurate message reach.
  • the embedded message may be a red envelope issuance reminder message.
  • This method can be executed by the client as shown in FIG. 4.
  • a message push system on the cloud is deployed in the server, which can complete the generation, configuration, and delivery of embedded messages.
  • Client-side messaging system modules, client-side user behavior trajectory triggers, and message intelligent decision-making systems can be deployed in the client.
  • the client message system module can synchronize data with the message push system on the cloud to realize the reception and storage of embedded messages.
  • the end user behavior trajectory trigger can detect user behavior in real time, and trigger the message intelligent decision-making system to make on-screen decisions at a fixed user behavior point (for example, in the red envelope reminder scenario, the homepage touchpoint needs to be excluded).
  • the message intelligent decision-making system can perceive the user's status and intention based on the interactive behavior data, and filter the embedded messages that meet the user's status and intention from the client message system module, and if it can filter the embedded messages that meet the user's status and intentions Message, the client message system module can be notified to carry out the message on-screen operation of the embedded message.
  • the client message system module can send the embedded message to the end user behavior track trigger , Complete the message on the screen; if the embedded message that meets the user's status and intent is not filtered out, you can notify the user on the end that the behavior track trigger is not on the screen.
  • the screen of the red envelope issuing reminder message will no longer be performed. If it is recognized that the user will leave the client, and may not be online within the reminder time of the red envelope issuance reminder message, the red envelope issuance reminder message can be displayed on the screen before the user leaves the client.
  • the push message is delivered to the client by the server in advance, and the client locally determines the target push message to be displayed to the target object, which is no longer limited by the channel capacity, so that billions per second can be achieved. Level messages are displayed on the screen.
  • the target push message is determined based on the target data of the target object, so that real-time user status awareness can be realized, and more accurate message reach can be achieved.
  • the technical effect of reach effect and reach ability solves the technical problem that the offline message push method based on the server side in related technologies is limited by the capacity of the message channel on the server side, and it is difficult to respond to the technical problem of message push with a query rate of one million per second. .
  • matching the target data with at least one pre-stored push message to determine the target push message includes: processing the target data to obtain the target characteristics of the target object, wherein the target data further includes: the target The attribute information of the object; the target data and target characteristics are processed to obtain the current state of the target object; the current state is matched with at least one push message to determine the target push message.
  • the attribute information in the above steps may be user characteristics, such as age, gender, purchasing power, etc., but is not limited to this.
  • User characteristics can be obtained by the server performing statistical analysis on a large amount of behavior data of the user, and stored in the server's database.
  • the target feature may be a feature that characterizes the user's state and intention, for example, whether the user has received a red envelope issued, etc., but it is not limited to this.
  • the current state can be the user's state and intention, for example, red envelopes issued, real-time purchase probability, etc., but it is not limited to this.
  • the client collects and stores the user’s interactive behavior data on the client while synchronizing the user characteristics stored in the server.
  • the data is processed to obtain the target characteristics of the user, and further by processing the target data and target characteristics, the user status can be obtained, thereby realizing real-time perception of the user's status and intentions.
  • the successfully matched push message can be obtained, that is, the embedded message that meets the user's status and intention can be screened out.
  • the message intelligent decision-making system may include: a terminal data and feature module, a user status awareness module, and a message query and status verification module.
  • the terminal data and feature module can collect and store the user's interactive behavior data, synchronize the user characteristics stored in the server, and process the interactive behavior data and user characteristics into target characteristics;
  • the user state perception module can rely on the interactive behavior data, user characteristics, and
  • the target feature is processed into the user status;
  • the message query and status verification module can initiate a query for the embedded message in the client message system module, and after obtaining the embedded message fed back by the client message system module, it can verify whether the user status is consistent with The embedded messages are matched, so as to screen out embedded messages that meet the user's status and intentions.
  • processing the target data and target features to obtain the current state of the target object includes: using the trained first model to process the target data and target features to obtain the current state.
  • the first model in the above steps may be a state recognition model trained based on historical data.
  • the historical data may include: target data and target features, as well as the corresponding current state label. Through training with a large amount of historical data, the recognition can be obtained. State recognition model with higher accuracy.
  • the user state awareness module can input target data and target characteristics into the state recognition model, and the output result of the model is also the user state.
  • the push message includes at least one of the following: push time period and push conditions, match the current state with at least one push message, and determine the target push message, including: determining whether the current state meets the push of the push message Time and/or push conditions; if the current state meets the push time and/or push conditions of the push message, the push message is determined to be the target push message.
  • the push message in the above steps may include the message screen time period (that is, the above push time) and the screen precondition (that is, the above push condition), but it is not limited to this.
  • the message on-screen period may be the period during which red envelopes are issued, and the pre-condition for the on-screen display may be that the red envelopes are not received, the purchase probability is high, and so on.
  • the message query and status verification module obtains the embedded message fed back by the client’s message system module, it can compare the status of the user with the embedded message.
  • the screen pre-conditions (such as the red envelopes issued in this field have not been received) are compared. If the user's status meets the message screen time period and screen pre-conditions, it can be determined that the embedded message is a preset message that meets the user's status and intentions. Buried news.
  • the method further includes the following steps: use the trained second model to process the target feature to obtain the target probability value of the target object; and determine whether or not based on the target probability value Push displays push messages to the target audience.
  • the second model in the foregoing steps may include at least one of the following: a click-through rate model, a bounce rate model, a conversion rate model, and a next-day return visit model.
  • the target probability value in the above steps is related to the specific role of the second model.
  • the target probability value is the click probability
  • the second model is a bounce rate model
  • the target probability The value is the probability of skipping
  • the second model is the conversion rate model
  • the target probability value is the conversion probability
  • the target probability value is the return visit probability next day.
  • the second model can also be a state recognition model trained based on historical data.
  • the historical data can include: target features and corresponding target probability values. By training with a large amount of historical data, the second model with higher recognition accuracy can be obtained. Model.
  • the message intelligent decision-making system may also include: an intelligent decision-making module, which can initiate embedded message query to the message query and status verification module.
  • an intelligent decision-making module which can initiate embedded message query to the message query and status verification module.
  • the click-through rate model and the bounce rate model can be used to query the target features output by the data and feature modules on the end and the embedded messages fed back by the status verification module.
  • the click probability and the miss probability are obtained, and the real-time screen-up decision is further completed, and the client message system module is notified to perform the message screen-up operation of the embedded message, or the user behavior track trigger on the notification terminal is not screened.
  • determining whether to display the target push message to the target object based on the target probability value includes one of the following: determining whether to display the target push message to the target object based on the target probability value and the push rule; using the trained The third model processes the target probability value and determines whether to display the target push message to the target object.
  • the third model in the foregoing steps may include at least one of the following: a deep strategy network and a deep Q network, but it is not limited to this.
  • the intelligent decision module can complete the real-time screen upload decision based on the push rule or the third model, and determine whether the embedded message needs to be screened.
  • acquiring target data of a target object includes one of the following: acquiring interactive behavior data based on the behavior trajectory of the target object; acquiring interactive behavior data according to a preset period.
  • the preset period in the above steps can be set according to actual needs. If the user interaction is frequent, the preset period can be set shorter; if the user interaction is not frequent, the preset period can be set longer, which is implemented in this application In the example, take 30 seconds as an example, that is, trigger once every 30 seconds.
  • the client as shown in FIG. 4 can collect and store user interaction behavior data through the user behavior track trigger on the terminal.
  • the end user behavior track trigger can be implemented by an end timing trigger, for example, the user's interactive behavior data is collected and stored every 30 seconds.
  • the method further includes the following steps: receiving the push message sent by the server; and storing the push message in the database.
  • the push message sent by the server is received based on the preset mark information.
  • the database in the above steps may be the database in the client.
  • the preset mark information may be a specific mark bit pre-selected and agreed upon by the server and the client, and the mark bit may indicate that the message is a buried message.
  • the message push system on the cloud can achieve the delivery of the buried message by agreeing on a specific flag bit with the client.
  • the client message system module can realize the reception, non-screening and storage of the embedded message by agreeing with the server for a specific mark bit.
  • the method according to the above embodiment can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is Better implementation.
  • the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, The optical disc) includes several instructions to enable a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the method described in each embodiment of the present application.
  • a message pushing method is also provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although in the process The figure shows a logical sequence, but in some cases, the steps shown or described may be performed in a different order than here.
  • Fig. 5 is a flowchart of another message pushing method according to an embodiment of the present application. As shown in Figure 5, the method includes the following steps:
  • step S502 the client displays the interactive result in the interactive interface, where the interactive result is generated by interacting with the target object.
  • the interactive interface in the above steps may be an interface provided by the client to the user for operation, and the interactive result of each user's interactive operation can be displayed on the interface, for example, the interactive operation of the user viewing order details, the corresponding interactive result can be It is the order details that the user needs to view.
  • the interactive result can be displayed by displaying a new interface in the interactive interface, but it is not limited to this.
  • Step S504 The client displays the target push message in the interactive interface, where the target push message is determined by matching the target data of the target object with at least one pre-stored push message, and the target data includes at least: interactive behavior data of the target object .
  • the target push message is determined by matching the current state of the target object with at least one push message.
  • the current state is obtained by processing the target data and target characteristics of the target object.
  • the target data also includes: attribute information of the target object.
  • the current state is obtained by processing the target data and target features by using the trained first model.
  • the push message includes at least one of the following: push time period and push conditions.
  • the push message is determined to be the target push message .
  • the target push message is determined based on the target probability value of the target object whether to be pushed, wherein the target probability value is obtained by processing the target feature by using the trained second model.
  • the target push message is determined whether to be pushed based on the target probability value and the push rule, or whether to be pushed is determined by processing the target probability value by using a trained third model.
  • the target data is acquired based on the behavior trajectory of the target object, or acquired according to a preset period.
  • the push message is sent by the server and stored in the database.
  • the push message is received based on preset tag information.
  • a message pushing device for implementing the above message pushing method.
  • the device is deployed in a client.
  • the device 600 includes: an acquisition module 602, a matching module 604, and a display Module 606.
  • the obtaining module 602 is used to obtain target data of the target object, where the target data includes at least: interactive behavior data of the target object; the matching module 604 is used to match the target data with at least one pre-stored push message to determine the target push Message; the display module 606 is used to display the target push message to the target object.
  • the above-mentioned acquisition module 602, matching module 604, and display module 606 correspond to steps S202 to S206 in Embodiment 1.
  • the three modules implement the same examples and application scenarios as the corresponding steps, but not It is limited to the content disclosed in Example 1 above. It should be noted that, as a part of the device, the above-mentioned modules can run in the computer terminal 10 provided in Embodiment 1.
  • the matching module includes: a first processing unit, a second processing unit, and a matching unit.
  • the first processing unit is used to process the target data to obtain the target characteristics of the target object, where the target data also includes: attribute information of the target object; the second processing unit is used to process the target data and target characteristics to obtain The current state of the target object; the matching unit is used to match the current state with at least one push message to determine the target push message.
  • the second processing unit is further configured to use the trained first model to process the target data and target features to obtain the current state.
  • the push message includes at least one of the following: push time period and push condition.
  • the matching unit is also used to determine whether the current state meets the push time and/or push condition of the push message, where, if the current state meets The push time and/or push conditions of the push message are determined to be the target push message.
  • the device further includes: a processing module and a determining module.
  • the processing module is used to process the target feature using the trained second model to obtain the target probability value of the target object; the determining module is used to determine whether to display the target push message to the target object based on the target probability value.
  • the determining module is also used to determine whether to display the target push message to the target object based on the target probability value and the push rule; or, use the trained third model to process the target probability value to determine whether to The target audience displays the target push message.
  • the acquisition module is further configured to acquire interactive behavior data based on the behavior trajectory of the target object; or, acquire interactive behavior data according to a preset period.
  • the device further includes: a receiving module and a storage module.
  • the receiving module is used to receive the push message sent by the server;
  • the storage module is used to store the push message in the database.
  • the device 700 includes: a first display module 702 and a second display module 702. Display module 704.
  • the first display module 702 is used to display the interactive results in the interactive interface of the client, where the interactive results are generated by interacting with the target object;
  • the second display module is used to display the target push message in the interactive interface, where,
  • the target push message is determined by matching target data of the target object with at least one pre-stored push message, and the target data includes at least: interactive behavior data of the target object.
  • first display module 702 and second display module 704 correspond to steps S502 to S504 in Embodiment 2.
  • the two modules implement the same examples and application scenarios as the corresponding steps, but not It is limited to the content disclosed in Example 1 above.
  • the above-mentioned modules can run in the computer terminal 10 provided in Embodiment 1.
  • the target push message is determined by matching the current state of the target object with at least one push message.
  • the current state is obtained by processing the target data and target characteristics of the target object, and the target characteristic is the target
  • the target data also includes: attribute information of the target object.
  • the current state is obtained by processing the target data and target features by using the trained first model.
  • the push message includes at least one of the following: push time period and push conditions.
  • the push message is determined to be the target push message .
  • the target push message is determined based on the target probability value of the target object whether to be pushed, wherein the target probability value is obtained by processing the target feature by using the trained second model.
  • the target push message is determined whether to be pushed based on the target probability value and the push rule, or whether to be pushed is determined by processing the target probability value by using a trained third model.
  • the target data is acquired based on the behavior trajectory of the target object, or acquired according to a preset period.
  • the push message is sent by the server and stored in the database.
  • the push message is received based on preset tag information.
  • a message push system is provided. As shown in FIG. 8, the system may include: a client 10 and a server 20.
  • the server 20 is used to send push messages; the client 10 communicates with the server to store push messages, and matches the acquired target data of the target object with at least one pre-stored push message, determines the target push message, and sends
  • the target object displays the target push message, and the target data includes at least: interactive behavior data of the target object.
  • the client is also used to process the target data to obtain the target characteristics of the target object, process the target data and the target characteristics to obtain the current state of the target object, and push the current state and at least one The messages are matched to determine the target push message, where the target data also includes: attribute information of the target object.
  • the client terminal is also used to process the target data and target features by using the trained first model to obtain the current state.
  • the push message includes at least one of the following: push time period and push conditions.
  • the client terminal is also used to determine whether the current state meets the push time and/or push conditions of the push message, where, if the current state meets The push time and/or push conditions of the push message are determined to be the target push message.
  • the client terminal is also used to process the target feature using the trained second model after determining the target push message to obtain the target probability value of the target object, and based on the target probability value, determine whether to send the message to The target audience displays the target push message.
  • the client terminal is also used to determine whether to display the target push message to the target object based on the target probability value and the push rule; or, use the trained third model to process the target probability value to determine whether to The target audience displays the target push message.
  • the client is also used to store the push message in the database.
  • a client is provided, as shown in FIG. 9, including: a memory 12, a trigger 14, a processor 16, and a display 18.
  • the memory 12 is used to store at least one push message; the trigger 14 is used to collect target data of the target object, where the target data includes at least: interactive behavior data of the target object; the processor 16 is connected to the memory and the trigger for The target data is matched with at least one push message to determine the target push message; the display 18 is connected to the processor for displaying the target push message to the target object.
  • the above-mentioned memory may be a client message system module
  • the trigger may be a terminal user behavior trace trigger
  • the processor may be a message intelligent decision system.
  • the processor 16 includes: a first processing module 162, a second processing module 164, and a matching module 166.
  • the first processing module 162 is connected to the trigger 14 and is used to process the target data to obtain the target characteristics of the target object.
  • the target data also includes: attribute information of the target object; the second processing module 164 and the first processing
  • the module connection is used to process the target data and target characteristics to obtain the current state of the target object;
  • the matching module 166 is connected to the second processing module, the memory 12 and the display 18, and is used to match the current state with at least one push message, Determine the target push message.
  • the above-mentioned first processing module may be a terminal data and feature module
  • the second processing module may be a user state awareness module
  • the matching module may be a message query and state verification module.
  • the second processing module is further configured to use the trained first model to process the target data and target features to obtain the current state.
  • the push message includes at least one of the following: push time period and push conditions.
  • the matching module is also used to determine whether the current state meets the push time and/or push conditions of the push message, where, if the current state meets The push time and/or push conditions of the push message are determined to be the target push message.
  • the processor 16 further includes: a third processing module 168.
  • the third processing module 168 is connected to the matching module 166 and the display 18, and is used to process the target feature using the trained second model to obtain the target probability value of the target object, and based on the target probability value, determine whether to target the target object Show target push messages.
  • the third processing module is also used to determine whether to display the target push message to the target object based on the target probability value and the push rule; or, use the trained third model to process the target probability value to determine Whether to display the target push message to the target object.
  • the trigger 142 includes one of the following: a behavior track trigger 144 and a timing trigger 146.
  • the behavior trajectory trigger 144 is used to obtain interactive behavior data based on the behavior trajectory of the target object; the timing trigger 146 is used to obtain interactive behavior data according to a preset period.
  • the behavior trajectory trigger may be an on-end user behavior trajectory trigger.
  • the client further includes: a communication device 110.
  • the communication device 110 is connected to the storage 12 and is used to receive push messages sent by the server.
  • a message push system including:
  • the memory is connected to the processor and is used to provide the processor with instructions for processing the following processing steps: acquiring target data of the target object, where the target data at least includes: interactive behavior data of the target object; and combining the target data with at least one pre-stored The push message is matched to determine the target push message; the target push message is displayed to the target object.
  • the push message is delivered to the client by the server in advance, and the client locally determines the target push message to be displayed to the target object, which is no longer limited by the channel capacity, so that billions per second can be achieved. Level messages are displayed on the screen.
  • the target push message is determined based on the target data of the target object, so that real-time user status awareness can be realized, and more accurate message reach can be achieved.
  • the technical effect of reach effect and reach ability solves the technical problem that the offline message push method based on the server side in related technologies is limited by the capacity of the message channel on the server side, and it is difficult to respond to the technical problem of message push with a query rate of one million per second. .
  • the embodiments of the present application may provide a computer terminal, and the computer terminal may be any computer terminal device in a computer terminal group.
  • the above-mentioned computer terminal may also be replaced with a terminal device such as a mobile terminal.
  • the above-mentioned computer terminal may be located in at least one network device among a plurality of network devices in the computer network.
  • the above-mentioned computer terminal may execute the program code of the following steps in the message push method: acquiring target data of the target object, where the target data includes at least: interactive behavior data of the target object; A push message is matched to determine the target push message; the target push message is displayed to the target object.
  • FIG. 10 is a structural block diagram of a computer terminal according to an embodiment of the present application.
  • the computer terminal A may include: one or more (only one is shown in the figure) processor 102, and a memory 104.
  • the memory can be used to store software programs and modules, such as the program instructions/modules corresponding to the message pushing method and device in the embodiments of the present application.
  • the processor executes various functional applications by running the software programs and modules stored in the memory. And data processing, that is, to realize the above-mentioned message push method.
  • the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory.
  • the memory may further include a memory remotely provided with respect to the processor, and these remote memories may be connected to the terminal A through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
  • the processor may call the information and application programs stored in the memory through the transmission device to perform the following steps: obtain target data of the target object, where the target data at least includes: interactive behavior data of the target object; A push message is matched to determine the target push message; the target push message is displayed to the target object.
  • the above-mentioned processor may also execute the program code of the following steps: process the target data to obtain the target characteristics of the target object, where the target data also includes: attribute information of the target object; process the target data and target characteristics , Get the current state of the target object; match the current state with at least one push message to determine the target push message.
  • the above-mentioned processor may also execute the program code of the following steps: use the trained first model to process the target data and target features to obtain the current state.
  • the above-mentioned processor may also execute the program code of the following steps: the push message includes at least one of the following: push time period and push conditions, to determine whether the current state meets the push time and/or push conditions of the push message; if the current state When the push time and/or push conditions of the push message are met, the push message is determined to be the target push message.
  • the above-mentioned processor may also execute the program code of the following steps: after determining the target push message, use the trained second model to process the target feature to obtain the target probability value of the target object; determine the target probability value based on the target probability value Whether to display the target push message to the target object.
  • the above-mentioned processor may also execute the program code of the following steps: determine whether to display the target push message to the target object based on the target probability value and the push rule; or, use the trained third model to process the target probability value, Determine whether to display the target push message to the target audience.
  • the above-mentioned processor may also execute the program code of the following steps: acquiring interactive behavior data based on the behavior trajectory of the target object; or acquiring interactive behavior data according to a preset period.
  • the above-mentioned processor may also execute the program code of the following steps: receiving the push message sent by the server; and storing the push message in the database.
  • the above-mentioned processor may also execute the program code of the following steps: receiving a push message sent by the server based on preset tag information.
  • the processor can call the information and application programs stored in the memory through the transmission device to perform the following steps: display the interactive result in the interactive interface, where the interactive result is generated by interacting with the target object; display the target push in the interactive interface Message, where the target push message is determined by matching target data of the target object with at least one pre-stored push message, and the target data includes at least: interactive behavior data of the target object.
  • a message push solution is provided.
  • the client By sending the push message from the server to the client in advance, and the client locally determines the target push message displayed to the target object, it is no longer limited by the channel capacity, so that billions of messages per second can be displayed on the screen.
  • the target push message is determined based on the target data of the target object, so that real-time user status awareness can be realized, and then more accurate message reach can be achieved.
  • the effect is to solve the technical problem that the offline message push method based on the server side in the related technology is limited by the capacity of the message channel on the server side, and it is difficult to respond to the technical problem of message push with a query rate of one million per second.
  • the structure shown in Figure 10 is only for illustration, and the computer terminal can also be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, an applause computer, and a mobile Internet Device (MID). ), PAD and other terminal equipment.
  • FIG. 10 does not limit the structure of the above-mentioned electronic device.
  • the computer terminal A may also include more or fewer components (such as a network interface, a display device, etc.) than those shown in FIG. 10, or have a configuration different from that shown in FIG.
  • the program can be stored in a computer-readable storage medium, which can be Including: flash disk, read-only memory (Read-Only Memory, ROM), random access device (Random Access Memory, RAM), magnetic disk or optical disk, etc.
  • the embodiment of the present application also provides a storage medium.
  • the foregoing storage medium may be used to store the program code executed by the message pushing method provided in the foregoing embodiment.
  • the foregoing storage medium may be located in any computer terminal in a computer terminal group in a computer network, or located in any mobile terminal in a mobile terminal group.
  • the storage medium is configured to store program code for performing the following steps: acquiring target data of the target object, where the target data includes at least: interactive behavior data of the target object; combining the target data with At least one pre-stored push message is matched to determine the target push message; the target push message is displayed to the target object.
  • the aforementioned storage medium is further configured to store program code for executing the following steps: processing the target data to obtain the target characteristics of the target object, wherein the target data further includes: attribute information of the target object; Process with the target feature to obtain the current state of the target object; match the current state with at least one push message to determine the target push message.
  • the aforementioned storage medium is further configured to store program code for executing the following steps: use the trained first model to process the target data and target features to obtain the current state.
  • the aforementioned storage medium is also set to store program code for performing the following steps: the push message includes at least one of the following: push time period and push conditions, to determine whether the current state meets the push time and/or push of the push message Conditions; if the current state meets the push time and/or push conditions of the push message, the push message is determined to be the target push message.
  • the aforementioned storage medium is further configured to store program code for executing the following steps: after determining the target push message, use the trained second model to process the target feature to obtain the target probability value of the target object; The target probability value determines whether to display the target push message to the target object.
  • the aforementioned storage medium is further configured to store program code for performing the following steps: determine whether to display the target push message to the target object based on the target probability value and the push rule; or, use the trained third model to target the target The probability value is processed to determine whether to display the target push message to the target object.
  • the aforementioned storage medium is further configured to store program code for performing the following steps: acquiring interactive behavior data based on the behavior trajectory of the target object; or acquiring interactive behavior data according to a preset period.
  • the foregoing storage medium is further configured to store program code for performing the following steps: receiving push messages sent by the server; and storing the push messages in a database.
  • the aforementioned storage medium is further configured to store program code for performing the following steps: receiving a push message sent by the server based on preset tag information.
  • the storage medium is configured to store program code for performing the following steps: displaying the interactive result in the interactive interface, where the interactive result is generated by interacting with the target object; in the interactive interface
  • the target push message is shown in, where the target push message is determined by matching target data of the target object with at least one pre-stored push message, and the target data includes at least: interactive behavior data of the target object.
  • the disclosed technical content can be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division.
  • there may be other division methods for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, units or modules, and may be in electrical or other forms.
  • the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
  • the above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.
  • the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium.
  • the technical solution of the present application essentially or the part that contributes to the existing technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , Including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in each embodiment of the present application.
  • the aforementioned storage media include: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes. .

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Abstract

本申请公开了一种消息推送方法和系统、客户端、存储介质及处理器。其中，该方法包括：客户端获取目标对象的目标数据，其中，目标数据至少包括：目标对象的交互行为数据；客户端将目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息；客户端向目标对象展示目标推送消息。本申请解决了相关技术中基于服务器端的离线的消息推送方法受限于服务器端的消息通道容量的限制，难以响应每秒查询率为百万级的消息推送的技术问题。

Description

消息推送方法和系统、客户端、存储介质及处理器
本申请要求2020年03月12日递交的申请号为202010171854.1、发明名称为“消息推送方法和系统、客户端、存储介质及处理器”中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及消息上屏领域，具体而言，涉及一种消息推送方法和系统、客户端、存储介质及处理器。
背景技术
电商行业，会经常举行营销活动，例如在特定的节日或活动等等。推送系统和消息系统作为主动的用户触达通道，承载着提高用户活跃度、维持用户粘性、促进用户成交等的职责。尤其在营销活动期间，推送系统和消息系统将更频繁和更大规模的触达用户，以提升整体活跃用户数和总成交额。
但是，基于服务器端的离线的消息推送系统(即圈选固定人群，并在定点通过下行通道触达用户)受限于服务器端计算能力、消息通道容量的限制，存在如下弊端：下行通道容量有限，难以响应超过百万级QPS推送(Queries Per Second，每秒查询率)，例如特定时间发放大量红包等场景，触达用户量有限；难以实时感知用户意图和状态并实现精准推送，容易对用户造成打扰，例如红包发放重复提醒。
针对相关技术中基于服务器端的离线的消息推送方法受限于服务器端的消息通道容量的限制，难以响应每秒查询率为百万级的消息推送的问题，目前尚未提出有效的解决方案。
发明内容
本申请实施例提供了一种消息推送方法和系统、客户端、存储介质及处理器，以至少解决相关技术中基于服务器端的离线的消息推送方法受限于服务器端的消息通道容量的限制，难以响应每秒查询率为百万级的消息推送的技术问题。
根据本申请实施例的一个方面，提供了一种消息推送方法，包括：客户端获取目标对象的目标数据，其中，目标数据至少包括：目标对象的交互行为数据；客户端将目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息；客户端向目标对象 展示目标推送消息。
根据本申请实施例的另一方面，还提供了一种消息推送方法，包括：客户端在交互界面中展示交互结果，其中，交互结果是与目标对象进行交互所生成的；客户端在交互界面中展示目标推送消息，其中，目标推送消息通过将目标对象的目标数据与预先存储的至少一个推送消息进行匹配所确定，目标数据至少包括：目标对象的交互行为数据。
根据本申请实施例的另一方面，还提供了一种消息推送系统，包括：服务器，用于发送推送消息；客户端，与服务器通信，用于存储推送消息，并将获取到的目标对象的目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息，向目标对象展示目标推送消息，目标数据至少包括：目标对象的交互行为数据。
根据本申请实施例的另一方面，还提供了一种客户端，包括：存储器，用于存储至少一个推送消息；触发器，用于采集目标对象的目标数据，其中，目标数据至少包括：目标对象的交互行为数据；处理器，与存储器和触发器连接，用于将目标数据与至少一个推送消息进行匹配，确定目标推送消息；显示器，与处理器连接，用于向目标对象展示目标推送消息。
根据本申请实施例的另一方面，还提供了一种存储介质，存储介质包括存储的程序，其中，在程序运行时控制存储介质所在设备执行上述的消息推送方法。
根据本申请实施例的另一方面，还提供了一种处理器，处理器用于运行程序，其中，程序运行时执行上述的消息推送方法。
根据本申请实施例的另一方面，还提供了一种消息推送系统，包括：处理器；以及存储器，与处理器连接，用于为处理器提供处理以下处理步骤的指令：获取目标对象的目标数据，其中，目标数据至少包括：目标对象的交互行为数据；将目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息；向目标对象展示目标推送消息。
在本申请实施例中，推送消息由服务器提前下发到客户端，并且由客户端本地确定展示给目标对象的目标推送消息，不再受限于通道容量，从而可以实现每秒亿级的消息上屏，另外，目标推送消息是基于目标对象的目标数据所确定的，从而可以实现实时的用户状态感知，进而完成更精准的消息触达，因此，达到了节省服务器开销，提升触达效果和触达能力的技术效果，解决了相关技术中基于服务器端的离线的消息推送方法受限于服务器端的消息通道容量的限制，难以响应每秒查询率为百万级的消息推送的技术问题。
附图说明
此处所说明的附图用来提供对本申请的进一步理解，构成本申请的一部分，本申请的示意性实施例及其说明用于解释本申请，并不构成对本申请的不当限定。在附图中：
图1是根据本申请实施例的一种用于实现消息推送方法的计算机终端的硬件结构框图；
图2是根据本申请实施例的一种消息推送方法的流程图；
图3是根据本申请实施例的一种可选的推送消息推送样例的示意图；
图4是根据本申请实施例的一种可选的推送消息系统的示意图；
图5是根据本申请实施例的另一种消息推送方法的流程图；
图6是根据本申请实施例的一种消息推送装置的示意图；
图7是根据本申请实施例的另一种消息推送装置的示意图；
图8是根据本申请实施例的一种消息推送系统的示意图；
图9是根据本申请实施例的一种客户端的示意图；以及
图10是根据本申请实施例的一种计算机终端的结构框图。
具体实施方式
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分的实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本申请保护的范围。
需要说明的是，本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本申请的实施例能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
首先，在对本申请实施例进行描述的过程中出现的部分名词或术语适用于如下解释：
边缘计算：区别与云计算，可以是指计算力分布在客户端侧，并实现计算诉求。
预埋消息：或者称为预推送消息，可以是指提前下发到客户端并不立即展示的消息。
消息上屏：可以是指推送消息展示给用户。
实施例1
根据本申请实施例，提供了一种消息推送方法，需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机系统中执行，并且，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
本申请实施例所提供的方法实施例可以在移动终端、计算机终端或者类似的运算装置中执行。图1示出了一种用于实现消息推送方法的计算机终端(或移动设备)的硬件结构框图。如图1所示，计算机终端10(或移动设备10)可以包括一个或多个(图中采用102a、102b，……，102n来示出)处理器102(处理器102可以包括但不限于微处理器MCU或可编程逻辑器件FPGA等的处理装置)、用于存储数据的存储器104、以及用于通信功能的传输装置106。除此以外，还可以包括：显示器、输入/输出接口(I/O接口)、通用串行总线(USB)端口(可以作为BUS总线的端口中的一个端口被包括)、网络接口、电源和/或相机。本领域普通技术人员可以理解，图1所示的结构仅为示意，其并不对上述电子装置的结构造成限定。例如，计算机终端10还可包括比图1中所示更多或者更少的组件，或者具有与图1所示不同的配置。
应当注意到的是上述一个或多个处理器102和/或其他数据处理电路在本文中通常可以被称为“数据处理电路”。该数据处理电路可以全部或部分的体现为软件、硬件、固件或其他任意组合。此外，数据处理电路可为单个独立的处理模块，或全部或部分的结合到计算机终端10(或移动设备)中的其他元件中的任意一个内。如本申请实施例中所涉及到的处理器，该数据处理电路作为一种处理器控制(例如与接口连接的可变电阻终端路径的选择)。
存储器104可用于存储应用软件的软件程序以及模块，如本申请实施例中的消息推送方法对应的程序指令/数据存储装置，处理器102通过运行存储在存储器104内的软件程序以及模块，从而执行各种功能应用以及数据处理，即实现上述的消息推送方法。存储器104可包括高速随机存储器，还可包括非易失性存储器，如一个或者多个磁性存储装置、闪存、或者其他非易失性固态存储器。在一些实例中，存储器104可进一步包括相对于处理器102远程设置的存储器，这些远程存储器可以通过网络连接至计算机终端10。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
传输装置106用于经由一个网络接收或者发送数据。上述的网络具体实例可包括计算机终端10的通信供应商提供的无线网络。在一个实例中，传输装置106包括一个网络适配器(Network Interface Controller，NIC)，其可通过基站与其他网络设备相连从而可与互联网进行通讯。在一个实例中，传输装置106可以为射频(Radio Frequency，RF)模块，其用于通过无线方式与互联网进行通讯。
显示器可以例如触摸屏式的液晶显示器(LCD)，该液晶显示器可使得用户能够与计算机终端10(或移动设备)的用户界面进行交互。
此处需要说明的是，在一些可选实施例中，上述图1所示的计算机设备(或移动设备)可以包括硬件元件(包括电路)、软件元件(包括存储在计算机可读介质上的计算机代码)、或硬件元件和软件元件两者的结合。应当指出的是，图1仅为特定具体实例的一个实例，并且旨在示出可存在于上述计算机设备(或移动设备)中的部件的类型。
在上述运行环境下，本申请提供了如图2所示的消息推送方法。图2是根据本申请实施例的一种消息推送方法的流程图。如图2所示，该方法包括如下步骤：
步骤S202，客户端获取目标对象的目标数据，其中，目标数据至少包括：目标对象的交互行为数据。
上述步骤中的客户端可以安装在计算机终端或移动终端中的应用程序，目标对象可以是操作客户端的用户，例如，可以是计算机终端或移动终端的拥有者，其中，移动终端可以是智能手机(如Android手机、iOS手机等)、平板电脑、掌上电脑、移动互联网设备(Mobile Internet Devices，MID)和PAD等终端，但不仅限于此。
用户通过操作客户端，完成与客户端的交互，在整个操作过程中，客户端可以检测到用户每次的交互行为，并记录相应的交互行为数据。用户通常是依据自己的喜好进行交互，因此，用户的交互行为数据体现了用户的状态和意图。为了确保推送给用户的预埋消息能够精准感知到用户的状态，在本申请实施例中，可以在用户与客户端进行交互的过程中，实时采集和存储用户在客户端的交互行为数据，其中，交互行为数据以交互行为日志的形式进行存储。
例如，以线上购物场景为例进行说明，客户端可以是电商购物平台提供的应用程序，用户通过与客户端进行交互，可以实现购物，查看订单详情，或查看物流详情等目的。在这个过程中，客户端检测到的交互行为可以是进入首页、搜索商品、浏览商品、下单支付、查看订单详情、查看物流详情、回退到订单等，但不仅限于此。
又例如，以直播场景为例进行说明，客户端可以是直播平台提供的应用程序，用户 通过与客户端进行交互，可以实现观看直播，与主播进行互动等目的。在这个过程中，客户端检测到的交互行为可以是进入首页、搜索直播间、进入直播间观看、与主播进行互动等，但不仅限于此。
步骤S204，客户端将目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息。
上述步骤中的推送消息可以是指服务器提前下发的预埋消息，服务器可以是在预埋消息的上屏时段之前将预埋消息下发至客户端，并存储在客户端的数据库中。目标推送消息可以是筛选出的符合用户的状态和意图的预埋消息。
在本申请实施例中，服务器仅仅完成预埋消息的生成、配置和下发，整个匹配过程由客户端自行完成。
步骤S206，客户端向目标对象展示目标推送消息。
上述步骤中的推送可以是指消息上屏，也即将目标推送消息展示在客户端中，但不仅限于此，还可以是语音播报等。例如，如图3所示，目标推送消息可以是「镰仓」一分钟教您挑选合适尺码衬衫，该消息可以展示在客户端的顶部。
在一种可选的实施例中，客户端每次检测到用户的交互行为之后，可以将交互行为数据与数据库中存储的预埋消息进行匹配，从所有的预埋消息中筛选出符合用户的状态和意图的预埋消息，并将筛选出的预埋消息展示给用户，完成更精准的消息触达。
例如，以线上购物场景或直播场景中特定时间发放大量红包的场景为例进行说明，预埋消息可以是红包发放提醒消息。该方法可以由如图4所示的客户端执行。如图4所示，服务器中部署云上消息推送系统，该系统可以完成预埋消息的生成、配置和下发。客户端中可以部署客户端消息系统模块、端上用户行为轨迹触发器和消息智能决策系统。
客户端消息系统模块可以与云上消息推送系统进行数据同步，实现预埋消息的接收和存储。端上用户行为轨迹触发器可以实时检测用户行为，并在固定用户行为点触发消息智能决策系统进行上屏决策(例如在红包发放提醒场景下，首页触点需要排除)。消息智能决策系统可以基于交互行为数据感知用户的状态和意图，并从客户端消息系统模块中筛选出符合用户的状态和意图的预埋消息，如果能够筛选出符合用户的状态和意图的预埋消息，则可以通知客户端消息系统模块进行该预埋消息的消息上屏操作，客户端消息系统模块在接收到消息上屏指令之后，可以将该预埋消息发送给端上用户行为轨迹触发器，完成消息上屏；如果未筛选出符合用户的状态和意图的预埋消息，则可以通知端上用户行为轨迹触发器不上屏。
例如，如果识别出用户是已经领取了发放的红包的用户，则不再进行红包发放提醒消息的上屏。如果识别出用户会离开客户端，而且可能在红包发放提醒消息的提醒时间内不再上线，则可以在用户离开客户端之前进行红包发放提醒消息的上屏。
基于本申请上述实施例提供的方案，推送消息由服务器提前下发到客户端，并且由客户端本地确定展示给目标对象的目标推送消息，不再受限于通道容量，从而可以实现每秒亿级的消息上屏，另外，目标推送消息是基于目标对象的目标数据所确定的，从而可以实现实时的用户状态感知，进而完成更精准的消息触达，因此，达到了节省服务器开销，提升触达效果和触达能力的技术效果，解决了相关技术中基于服务器端的离线的消息推送方法受限于服务器端的消息通道容量的限制，难以响应每秒查询率为百万级的消息推送的技术问题。
在本申请上述实施例中，将目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息，包括：对目标数据进行处理，得到目标对象的目标特征，其中，目标数据还包括：目标对象的属性信息；对目标数据和目标特征进行处理，得到目标对象的当前状态；将当前状态与至少一个推送消息进行匹配，确定目标推送消息。
上述步骤中的属性信息可以是用户特征，例如年龄、性别、购买力等，但不仅限于此。用户特征可以由服务器对该用户的大量行为数据进行统计分析得到，并存储在服务器的数据库中。目标特征可以是表征用户状态和意图的特征，例如，可以是用户是否领取过发放的红包等，但不仅限于此。当前状态可以是用户状态和意图，例如，领取过发放的红包，实时购买概率等，但不仅限于此。
在一种可选的方案中，为了确保客户端可以得到更加准确的用户状态和意图，客户端在采集和存储用户在客户端的交互行为数据的同时，同步服务器中存储的用户特征，通过对目标数据进行处理，可以得到用户的目标特征，进一步通过对目标数据和目标特征进行处理，可以得到用户状态，进而实现实时感知用户的状态和意图。在得到用户状态之后，通过将用户状态与每个预埋消息进行匹配，可以得到匹配成功的推送消息，也即，筛选出符合用户的状态和意图的预埋消息。
例如，仍以如图4所示的客户端为例进行说明，消息智能决策系统可以包括：端上数据及特征模块、用户状态感知模块以及消息查询和状态验证模块。端上数据及特征模块可以采集和存储用户的交互行为数据，同步服务器存储的用户特征，并将交互行为数据和用户特征加工为目标特征；用户状态感知模块可以依赖于交互行为数据、用户特征和目标特征，加工为用户状态；消息查询和状态验证模块可以发起对客户端消息系统模 块中的预埋消息的查询，获取到客户端消息系统模块反馈的预埋消息之后，可以验证用户状态是否与该预埋消息匹配，从而筛选出符合用户的状态和意图的预埋消息。
在本申请上述实施例中，对目标数据和目标特征进行处理，得到目标对象的当前状态，包括：利用训练好的第一模型对目标数据和目标特征进行处理，得到当前状态。
上述步骤中的第一模型可以是基于历史数据训练得到的状态识别模型，历史数据可以包括：目标数据和目标特征，以及相应的当前状态的标签，通过利用大量的历史数据进行训练，可以得到识别准确度较高的状态识别模型。
例如，仍以如图4所示的客户端为例进行说明，用户状态感知模块可以将目标数据和目标特征输入至状态识别模型中，该模型的输出结果也即用户状态。
在本申请上述实施例中，推送消息至少包括如下之一：推送时间段和推送条件，将当前状态与至少一个推送消息进行匹配，确定目标推送消息，包括：判断当前状态是否满足推送消息的推送时间和/或推送条件；如果当前状态满足推送消息的推送时间和/或推送条件，则确定推送消息为目标推送消息。
上述步骤中的推送消息可以包含消息上屏时段(即上述的推送时间)和上屏前置条件(即上述的推送条件)，但不仅限于此。例如，以特定时间发放大量红包的场景为例，消息上屏时段可以是红包发放期间，上屏前置条件可以是未领取红包，高购买概率等。
例如，仍以如图4所示的客户端为例进行说明，消息查询和状态验证模块在获取到客户端消息系统模块反馈的预埋消息之后，可以通过将用户状态和该预埋消息的上屏前置条件(如未领取过本场发放的红包等)进行比较，如果用户状态符合消息上屏时段和上屏前置条件，则可以确定该预埋消息为符合用户的状态和意图的预埋消息。
在本申请上述实施例中，在确定目标推送消息之后，该方法还包括如下步骤：利用训练好的第二模型对目标特征进行处理，得到目标对象的目标概率值；基于目标概率值，确定是否推送向目标对象展示推送消息。
可选的，上述步骤中的第二模型可以包括如下至少之一：点击率模型、跳失率模型、转化率模型和次日回访模型。
上述步骤中的目标概率值与第二模型的具体作用相关，例如，第二模型为点击率模型的情况下，目标概率值为点击概率；第二模型为跳失率模型的情况下，目标概率值为跳失概率；第二模型为转化率模型的情况下，目标概率值为转化概率；第二模型为次日回访模型的情况下，目标概率值为次日回访概率。第二模型也可以是基于历史数据训练得到的状态识别模型，历史数据可以包括：目标特征，以及相应的目标概率值，通过利 用大量的历史数据进行训练，可以得到识别准确度较高的第二模型。
例如，仍以如图4所示的客户端为例进行说明，消息智能决策系统还可以包括：智能决策模块，该模块可以对消息查询和状态验证模块发起预埋消息查询，当消息查询和状态验证模块筛选出符合用户的状态和意图的预埋消息时，可以利用点击率模型和跳失率模型对端上数据及特征模块输出的目标特征和消息查询和状态验证模块反馈的预埋消息进行处理，得到点击概率和跳失概率，进一步完成实时上屏决策，并通知客户端消息系统模块进行该预埋消息的消息上屏操作，或，通知端上用户行为轨迹触发器不上屏。
在本申请上述实施例中，基于目标概率值，确定是否向目标对象展示目标推送消息，包括如下之一：基于目标概率值和推送规则，确定是否向目标对象展示目标推送消息；利用训练好的第三模型对目标概率值进行处理，确定是否向目标对象展示目标推送消息。
可选的，上述步骤中的第三模型可以包括如下至少之一：深度策略网络和深度Q网络，但不仅限于此。
例如，仍以如图4所示的客户端为例进行说明，智能决策模块可以基于推送规则或者第三模型完成实时上屏决策，确定预埋消息是否需要进行上屏操作。
在本申请上述实施例中，获取目标对象的目标数据，包括如下之一：基于目标对象的行为轨迹，获取交互行为数据；按照预设周期获取交互行为数据。
上述步骤中的预设周期可以根据实际需要进行设定，如果用户交互频繁，则预设周期可以设置的较短；如果用户交互不频繁，则预设周期可以设置的较长，在本申请实施例中，以30秒为例进行说明，也即每隔30秒进行一次触发。
在一种可选的实施例中，如图4所示的客户端，可以通过端上用户行为轨迹触发器采集和存储用户的交互行为数据。在另一种可选的实施例中，端上用户行为轨迹触发器可以通过端上定时触发器实现，例如，每隔30秒采集和存储一次用户的交互行为数据。
在本申请上述实施例中，该方法还包括如下步骤：接收服务器发送的推送消息；将推送消息存储至数据库。
可选的，基于预设标记信息接收服务器发送的推送消息。
上述步骤中的数据库可以是客户端中的数据库。预设标记信息可以是服务器和客户端预选约定好的特定标记位，该标记位可以表征该消息为预埋消息。
例如，仍以如图4所示的客户端为例进行说明，每当生成和配置好预埋消息之后，云上消息推送系统可以通过和客户端约定特定标记位，实现预埋消息下发。客户端消息系统模块可以通过和服务器约定特定标记位，实现预埋消息的接收、不上屏和存储。
需要说明的是，对于前述的各方法实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本申请并不受所描述的动作顺序的限制，因为依据本申请，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的动作和模块并不一定是本申请所必须的。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到根据上述实施例的方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，或者网络设备等)执行本申请各个实施例所述的方法。
实施例2
根据本申请实施例，还提供了一种消息推送方法，需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机系统中执行，并且，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
图5是根据本申请实施例的另一种消息推送方法的流程图。如图5所示，该方法包括如下步骤：
步骤S502，客户端在交互界面中展示交互结果，其中，交互结果是与目标对象进行交互所生成的。
上述步骤中的交互界面可以是客户端提供给用户进行操作的界面，并且在该界面上可以展示每次用户进行交互操作的交互结果，例如，用户查看订单详情的交互操作，相应的交互结果可以是用户需要查看的订单详情。
需要说明的是，交互结果可以通过在交互界面中显示一个新的界面进行展示，但不仅限于此。
步骤S504，客户端在交互界面中展示目标推送消息，其中，目标推送消息通过将目标对象的目标数据与预先存储的至少一个推送消息进行匹配所确定，目标数据至少包括：目标对象的交互行为数据。
在本申请上述实施例中，目标推送消息通过将目标对象的当前状态与至少一个推送消息进行匹配所确定，当前状态是对目标对象的目标数据和目标特征进行处理得到的， 目标特征是对目标数据进行处理得到的，目标数据还包括：目标对象的属性信息。
在本申请上述实施例中，当前状态通过利用利用训练好的第一模型对目标数据和目标特征进行处理所得到。
在本申请上述实施例中，推送消息至少包括如下之一：推送时间段和推送条件，在当前状态满足推送消息的推送时间和/或推送条件的情况下，该推送消息被确定为目标推送消息。
在本申请上述实施例中，目标推送消息是基于目标对象的目标概率值确定是否被推送的，其中，目标概率值通过利用训练好的第二模型对目标特征进行处理所得到。
在本申请上述实施例中，目标推送消息是基于目标概率值和推送规则确定是否被推送的，或是通过利用训练好的第三模型对目标概率值进行处理确定是否被推送的。
在本申请上述实施例中，目标数据是基于目标对象的行为轨迹所获取到的，或是按照预设周期所获取到的。
在本申请上述实施例中，推送消息由服务器发送，并存储在数据库中。
在本申请上述实施例中，推送消息是基于预设标记信息接收到的。
需要说明的是，本申请上述实施例中涉及到的优选实施方式与实施例1提供的方案以及应用场景、实施过程相同，但不仅限于实施例1所提供的方案。
实施例3
根据本申请实施例，提供了一种用于实施上述消息推送方法的消息推送装置，该装置部署于客户端中，如图6所示，该装置600包括：获取模块602、匹配模块604和展示模块606。
其中，获取模块602用于获取目标对象的目标数据，其中，目标数据至少包括：目标对象的交互行为数据；匹配模块604用于将目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息；展示模块606用于向目标对象展示目标推送消息。
此处需要说明的是，上述获取模块602、匹配模块604和展示模块606对应于实施例1中的步骤S202至步骤S206，三个模块与对应的步骤所实现的实例和应用场景相同，但不限于上述实施例1所公开的内容。需要说明的是，上述模块作为装置的一部分可以运行在实施例1提供的计算机终端10中。
在本申请上述实施例中，匹配模块包括：第一处理单元、第二处理单元和匹配单元。
其中，第一处理单元用于对目标数据进行处理，得到目标对象的目标特征，其中，目标数据还包括：目标对象的属性信息；第二处理单元用于对目标数据和目标特征进行 处理，得到目标对象的当前状态；匹配单元用于将当前状态与至少一个推送消息进行匹配，确定目标推送消息。
在本申请上述实施例中，第二处理单元还用于利用训练好的第一模型对目标数据和目标特征进行处理，得到当前状态。
在本申请上述实施例中，推送消息至少包括如下之一：推送时间段和推送条件，匹配单元还用于判断当前状态是否满足推送消息的推送时间和/或推送条件，其中，如果当前状态满足推送消息的推送时间和/或推送条件，则确定推送消息为目标推送消息。
在本申请上述实施例中，该装置还包括：处理模块和确定模块。
其中，处理模块用于利用训练好的第二模型对目标特征进行处理，得到目标对象的目标概率值；确定模块用于基于目标概率值，确定是否向目标对象展示目标推送消息。
在本申请上述实施例中，确定模块还用于基于目标概率值和推送规则，确定是否向目标对象展示目标推送消息；或，利用训练好的第三模型对目标概率值进行处理，确定是否向目标对象展示目标推送消息。
在本申请上述实施例中，获取模块还用于基于目标对象的行为轨迹，获取交互行为数据；或，按照预设周期获取交互行为数据。
在本申请上述实施例中，该装置还包括：接收模块和存储模块。
其中，接收模块用于接收服务器发送的推送消息；存储模块用于将推送消息存储至数据库。
需要说明的是，本申请上述实施例中涉及到的优选实施方式与实施例1提供的方案以及应用场景、实施过程相同，但不仅限于实施例1所提供的方案。
实施例4
根据本申请实施例，还提供了一种用于实施上述消息推送方法的消息推送装置，该装置部署于客户端中，如图7所示，该装置700包括：第一展示模块702和第二展示模块704。
其中，第一展示模块702用于在客户端的交互界面中展示交互结果，其中，交互结果是与目标对象进行交互所生成的；第二展示模块用于在交互界面中展示目标推送消息，其中，目标推送消息通过将目标对象的目标数据与预先存储的至少一个推送消息进行匹配所确定，目标数据至少包括：目标对象的交互行为数据。
此处需要说明的是，上述第一展示模块702和第二展示模块704对应于实施例2中的步骤S502至步骤S504，两个模块与对应的步骤所实现的实例和应用场景相同，但不 限于上述实施例1所公开的内容。需要说明的是，上述模块作为装置的一部分可以运行在实施例1提供的计算机终端10中。
在本申请上述实施例中，目标推送消息通过将目标对象的当前状态与至少一个推送消息进行匹配所确定，当前状态是对目标对象的目标数据和目标特征进行处理得到的，目标特征是对目标数据进行处理得到的，目标数据还包括：目标对象的属性信息。
在本申请上述实施例中，当前状态通过利用利用训练好的第一模型对目标数据和目标特征进行处理所得到。
在本申请上述实施例中，推送消息至少包括如下之一：推送时间段和推送条件，在当前状态满足推送消息的推送时间和/或推送条件的情况下，该推送消息被确定为目标推送消息。
在本申请上述实施例中，目标推送消息是基于目标对象的目标概率值确定是否被推送的，其中，目标概率值通过利用训练好的第二模型对目标特征进行处理所得到。
在本申请上述实施例中，目标推送消息是基于目标概率值和推送规则确定是否被推送的，或是通过利用训练好的第三模型对目标概率值进行处理确定是否被推送的。
在本申请上述实施例中，目标数据是基于目标对象的行为轨迹所获取到的，或是按照预设周期所获取到的。
在本申请上述实施例中，推送消息由服务器发送，并存储在数据库中。
在本申请上述实施例中，推送消息是基于预设标记信息接收到的。
需要说明的是，本申请上述实施例中涉及到的优选实施方式与实施例1提供的方案以及应用场景、实施过程相同，但不仅限于实施例1所提供的方案。
实施例5
根据本申请实施例，提供了一种消息推送系统，如图8所示，该系统可以包括：客户端10和服务器20。
其中，服务器20用于发送推送消息；客户端10与服务器通信，用于存储推送消息，并将获取到的目标对象的目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息，向目标对象展示目标推送消息，目标数据至少包括：目标对象的交互行为数据。
在本申请上述实施例中，客户端还用于对目标数据进行处理，得到目标对象的目标特征，对目标数据和目标特征进行处理，得到目标对象的当前状态，并将当前状态与至少一个推送消息进行匹配，确定目标推送消息，其中，目标数据还包括：目标对象的属 性信息。
在本申请上述实施例中，客户端还用于利用训练好的第一模型对目标数据和目标特征进行处理，得到当前状态。
在本申请上述实施例中，推送消息至少包括如下之一：推送时间段和推送条件，客户端还用于判断当前状态是否满足推送消息的推送时间和/或推送条件，其中，如果当前状态满足推送消息的推送时间和/或推送条件，则确定推送消息为目标推送消息。
在本申请上述实施例中，客户端还用于在确定目标推送消息之后，利用训练好的第二模型对目标特征进行处理，得到目标对象的目标概率值，并基于目标概率值，确定是否向目标对象展示目标推送消息。
在本申请上述实施例中，客户端还用于基于目标概率值和推送规则，确定是否向目标对象展示目标推送消息；或，利用训练好的第三模型对目标概率值进行处理，确定是否向目标对象展示目标推送消息。
在本申请上述实施例中，客户端还用于将推送消息存储至数据库。
需要说明的是，本申请上述实施例中涉及到的优选实施方式与实施例1提供的方案以及应用场景、实施过程相同，但不仅限于实施例1所提供的方案。
实施例6
根据本申请实施例，提供了一种客户端，如图9所示，包括：存储器12、触发器14、处理器16和显示器18。
其中，存储器12用于存储至少一个推送消息；触发器14用于采集目标对象的目标数据，其中，目标数据至少包括：目标对象的交互行为数据；处理器16与存储器和触发器连接，用于将目标数据与至少一个推送消息进行匹配，确定目标推送消息；显示器18与处理器连接，用于向目标对象展示目标推送消息。
例如，如图4所示，上述的存储器可以是客户端消息系统模块，触发器可以是端上用户行为轨迹触发器，处理器可以是消息智能决策系统。
在本申请上述实施例中，如图9所示，处理器16包括：第一处理模块162、第二处理模块164和匹配模块166。
其中，第一处理模块162与触发器14连接，用于对目标数据进行处理，得到目标对象的目标特征，其中，目标数据还包括：目标对象的属性信息；第二处理模块164与第一处理模块连接，用于对目标数据和目标特征进行处理，得到目标对象的当前状态；匹配模块166与第二处理模块、存储器12和显示器18连接，用于将当前状态与至少一个 推送消息进行匹配，确定目标推送消息。
例如，如图4所示，上述的第一处理模块可以是端上数据及特征模块，第二处理模块可以是用户状态感知模块，匹配模块可以是消息查询和状态验证模块。
在本申请上述实施例中，第二处理模块还用于利用训练好的第一模型对目标数据和目标特征进行处理，得到当前状态。
在本申请上述实施例中，推送消息至少包括如下之一：推送时间段和推送条件，匹配模块还用于判断当前状态是否满足推送消息的推送时间和/或推送条件，其中，如果当前状态满足推送消息的推送时间和/或推送条件，则确定推送消息为目标推送消息。
在本申请上述实施例中，如图9所示，处理器16还包括：第三处理模块168。
其中，第三处理模块168与匹配模块166和显示器18连接，用于利用训练好的第二模型对目标特征进行处理，得到目标对象的目标概率值，并基于目标概率值，确定是否向目标对象展示目标推送消息。
在本申请上述实施例中，第三处理模块还用于基于目标概率值和推送规则，确定是否向目标对象展示目标推送消息；或，利用训练好的第三模型对目标概率值进行处理，确定是否向目标对象展示目标推送消息。
在本申请上述实施例中，如图9所示，触发器142包括如下之一：行为轨迹触发器144和定时触发器146。
其中，行为轨迹触发器144用于基于目标对象的行为轨迹，获取交互行为数据；定时触发器146用于按照预设周期获取交互行为数据。
例如，如图4所示，行为轨迹触发器可以是端上用户行为轨迹触发器。
在本申请上述实施例中，如图9所示，该客户端还包括：通信装置110。
其中，通信装置110与存储器12连接，用于接收服务器发送的推送消息。
需要说明的是，本申请上述实施例中涉及到的优选实施方式与实施例1提供的方案以及应用场景、实施过程相同，但不仅限于实施例1所提供的方案。
实施例7
根据本申请实施例，还提供了一种消息推送系统，包括：
处理器；以及
存储器，与处理器连接，用于为处理器提供处理以下处理步骤的指令：获取目标对象的目标数据，其中，目标数据至少包括：目标对象的交互行为数据；将目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息；向目标对象展示目标推送消 息。
基于本申请上述实施例提供的方案，推送消息由服务器提前下发到客户端，并且由客户端本地确定展示给目标对象的目标推送消息，不再受限于通道容量，从而可以实现每秒亿级的消息上屏，另外，目标推送消息是基于目标对象的目标数据所确定的，从而可以实现实时的用户状态感知，进而完成更精准的消息触达，因此，达到了节省服务器开销，提升触达效果和触达能力的技术效果，解决了相关技术中基于服务器端的离线的消息推送方法受限于服务器端的消息通道容量的限制，难以响应每秒查询率为百万级的消息推送的技术问题。
需要说明的是，本申请上述实施例中涉及到的优选实施方式与实施例1提供的方案以及应用场景、实施过程相同，但不仅限于实施例1所提供的方案。
实施例8
本申请的实施例可以提供一种计算机终端，该计算机终端可以是计算机终端群中的任意一个计算机终端设备。可选地，在本实施例中，上述计算机终端也可以替换为移动终端等终端设备。
可选地，在本实施例中，上述计算机终端可以位于计算机网络的多个网络设备中的至少一个网络设备。
在本实施例中，上述计算机终端可以执行消息推送方法中以下步骤的程序代码：获取目标对象的目标数据，其中，目标数据至少包括：目标对象的交互行为数据；将目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息；向目标对象展示目标推送消息。
可选地，图10是根据本申请实施例的一种计算机终端的结构框图。如图10所示，该计算机终端A可以包括：一个或多个(图中仅示出一个)处理器102，以及存储器104。
其中，存储器可用于存储软件程序以及模块，如本申请实施例中的消息推送方法和装置对应的程序指令/模块，处理器通过运行存储在存储器内的软件程序以及模块，从而执行各种功能应用以及数据处理，即实现上述的消息推送方法。存储器可包括高速随机存储器，还可以包括非易失性存储器，如一个或者多个磁性存储装置、闪存、或者其他非易失性固态存储器。在一些实例中，存储器可进一步包括相对于处理器远程设置的存储器，这些远程存储器可以通过网络连接至终端A。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
处理器可以通过传输装置调用存储器存储的信息及应用程序，以执行下述步骤：获 取目标对象的目标数据，其中，目标数据至少包括：目标对象的交互行为数据；将目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息；向目标对象展示目标推送消息。
可选的，上述处理器还可以执行如下步骤的程序代码：对目标数据进行处理，得到目标对象的目标特征，其中，目标数据还包括：目标对象的属性信息；对目标数据和目标特征进行处理，得到目标对象的当前状态；将当前状态与至少一个推送消息进行匹配，确定目标推送消息。
可选的，上述处理器还可以执行如下步骤的程序代码：利用训练好的第一模型对目标数据和目标特征进行处理，得到当前状态。
可选的，上述处理器还可以执行如下步骤的程序代码：推送消息至少包括如下之一：推送时间段和推送条件，判断当前状态是否满足推送消息的推送时间和/或推送条件；如果当前状态满足推送消息的推送时间和/或推送条件，则确定推送消息为目标推送消息。
可选的，上述处理器还可以执行如下步骤的程序代码：在确定目标推送消息之后，利用训练好的第二模型对目标特征进行处理，得到目标对象的目标概率值；基于目标概率值，确定是否向目标对象展示目标推送消息。
可选的，上述处理器还可以执行如下步骤的程序代码：基于目标概率值和推送规则，确定是否向目标对象展示目标推送消息；或，利用训练好的第三模型对目标概率值进行处理，确定是否向目标对象展示目标推送消息。
可选的，上述处理器还可以执行如下步骤的程序代码：基于目标对象的行为轨迹，获取交互行为数据；或，按照预设周期获取交互行为数据。
可选的，上述处理器还可以执行如下步骤的程序代码：接收服务器发送的推送消息；将推送消息存储至数据库。
可选的，上述处理器还可以执行如下步骤的程序代码：基于预设标记信息接收服务器发送的推送消息。
处理器可以通过传输装置调用存储器存储的信息及应用程序，以执行下述步骤：在交互界面中展示交互结果，其中，交互结果是与目标对象进行交互所生成的；在交互界面中展示目标推送消息，其中，目标推送消息通过将目标对象的目标数据与预先存储的至少一个推送消息进行匹配所确定，目标数据至少包括：目标对象的交互行为数据。
采用本申请实施例，提供了一种消息推送的方案。通过将推送消息由服务器提前下发到客户端，并且由客户端本地确定展示给目标对象的目标推送消息，不再受限于通道 容量，从而可以实现每秒亿级的消息上屏，另外，目标推送消息是基于目标对象的目标数据所确定的，从而可以实现实时的用户状态感知，进而完成更精准的消息触达，因此，达到了节省服务器开销，提升触达效果和触达能力的技术效果，解决了相关技术中基于服务器端的离线的消息推送方法受限于服务器端的消息通道容量的限制，难以响应每秒查询率为百万级的消息推送的技术问题。
本领域普通技术人员可以理解，图10所示的结构仅为示意，计算机终端也可以是智能手机(如Android手机、iOS手机等)、平板电脑、掌声电脑以及移动互联网设备(Mobile Internet Devices，MID)、PAD等终端设备。图10其并不对上述电子装置的结构造成限定。例如，计算机终端A还可包括比图10中所示更多或者更少的组件(如网络接口、显示装置等)，或者具有与图10所示不同的配置。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令终端设备相关的硬件来完成，该程序可以存储于一计算机可读存储介质中，存储介质可以包括：闪存盘、只读存储器(Read-Only Memory，ROM)、随机存取器(Random Access Memory，RAM)、磁盘或光盘等。
实施例9
本申请的实施例还提供了一种存储介质。可选地，在本实施例中，上述存储介质可以用于保存上述实施例所提供的消息推送方法所执行的程序代码。
可选地，在本实施例中，上述存储介质可以位于计算机网络中计算机终端群中的任意一个计算机终端中，或者位于移动终端群中的任意一个移动终端中。
可选地，在本实施例中，存储介质被设置为存储用于执行以下步骤的程序代码：获取目标对象的目标数据，其中，目标数据至少包括：目标对象的交互行为数据；将目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息；向目标对象展示目标推送消息。
可选的，上述存储介质还被设置为存储用于执行以下步骤的程序代码：对目标数据进行处理，得到目标对象的目标特征，其中，目标数据还包括：目标对象的属性信息；对目标数据和目标特征进行处理，得到目标对象的当前状态；将当前状态与至少一个推送消息进行匹配，确定目标推送消息。
可选的，上述存储介质还被设置为存储用于执行以下步骤的程序代码：利用训练好的第一模型对目标数据和目标特征进行处理，得到当前状态。
可选的，上述存储介质还被设置为存储用于执行以下步骤的程序代码：推送消息至 少包括如下之一：推送时间段和推送条件，判断当前状态是否满足推送消息的推送时间和/或推送条件；如果当前状态满足推送消息的推送时间和/或推送条件，则确定推送消息为目标推送消息。
可选的，上述存储介质还被设置为存储用于执行以下步骤的程序代码：在确定目标推送消息之后，利用训练好的第二模型对目标特征进行处理，得到目标对象的目标概率值；基于目标概率值，确定是否向目标对象展示目标推送消息。
可选的，上述存储介质还被设置为存储用于执行以下步骤的程序代码：基于目标概率值和推送规则，确定是否向目标对象展示目标推送消息；或，利用训练好的第三模型对目标概率值进行处理，确定是否向目标对象展示目标推送消息。
可选的，上述存储介质还被设置为存储用于执行以下步骤的程序代码：基于目标对象的行为轨迹，获取交互行为数据；或，按照预设周期获取交互行为数据。
可选的，上述存储介质还被设置为存储用于执行以下步骤的程序代码：接收服务器发送的推送消息；将推送消息存储至数据库。
可选的，上述存储介质还被设置为存储用于执行以下步骤的程序代码：基于预设标记信息接收服务器发送的推送消息。
可选地，在本实施例中，存储介质被设置为存储用于执行以下步骤的程序代码：在交互界面中展示交互结果，其中，交互结果是与目标对象进行交互所生成的；在交互界面中展示目标推送消息，其中，目标推送消息通过将目标对象的目标数据与预先存储的至少一个推送消息进行匹配所确定，目标数据至少包括：目标对象的交互行为数据。
上述本申请实施例序号仅仅为了描述，不代表实施例的优劣。
在本申请的上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的技术内容，可通过其它的方式实现。其中，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，单元或模块的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个 网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述仅是本申请的优选实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本申请原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也应视为本申请的保护范围。

Claims (22)

  1. 一种消息推送方法，包括：
    客户端获取目标对象的目标数据，其中，所述目标数据至少包括：所述目标对象的交互行为数据；
    所述客户端将所述目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息；
    所述客户端向所述目标对象展示所述目标推送消息。
  2. 根据权利要求1所述的方法，其中，将所述目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息，包括：
    对所述目标数据进行处理，得到所述目标对象的目标特征，其中，所述目标数据还包括：所述目标对象的属性信息；
    对所述目标数据和所述目标特征进行处理，得到所述目标对象的当前状态；
    将所述当前状态与所述至少一个推送消息进行匹配，确定所述目标推送消息。
  3. 根据权利要求2所述的方法，其中，对所述目标数据和所述目标特征进行处理，得到所述目标对象的当前状态，包括：
    利用训练好的第一模型对所述目标数据和所述目标特征进行处理，得到所述当前状态。
  4. 根据权利要求2所述的方法，其中，所述推送消息至少包括如下之一：推送时间段和推送条件，将所述当前状态与所述至少一个推送消息进行匹配，确定所述目标推送消息，包括：
    判断所述当前状态是否满足所述推送消息的推送时间和/或推送条件；
    如果所述当前状态满足所述推送消息的推送时间和/或推送条件，则确定所述推送消息为所述目标推送消息。
  5. 根据权利要求2所述的方法，其中，在确定所述目标推送消息之后，所述方法还包括：
    利用训练好的第二模型对所述目标特征进行处理，得到所述目标对象的目标概率值；
    基于所述目标概率值，确定是否向所述目标对象展示所述目标推送消息。
  6. 根据权利要求5所述的方法，其中，基于所述目标概率值，确定是否向所述目标对象展示所述目标推送消息，包括如下之一：
    基于所述目标概率值和推送规则，确定是否向所述目标对象展示所述目标推送消息；
    利用训练好的第三模型对所述目标概率值进行处理，确定是否向所述目标对象展示所述目标推送消息。
  7. 根据权利要求1所述的方法，其中，获取目标对象的目标数据，包括如下之一：
    基于所述目标对象的行为轨迹，获取所述交互行为数据；
    按照预设周期获取所述交互行为数据。
  8. 根据权利要求1所述的方法，其中，所述方法还包括：
    接收服务器发送的推送消息；
    将所述推送消息存储至数据库。
  9. 根据权利要求8所述的方法，其中，基于预设标记信息接收所述服务器发送的所述推送消息。
  10. 根据权利要求5所述的方法，其中，所述第二模型包括如下至少之一：点击率模型、跳失率模型、转化率模型和次日回访模型。
  11. 根据权利要求6所述的方法，其中，所述第三模型包括如下至少之一：深度策略网络和深度Q网络。
  12. 一种消息推送方法，包括：
    客户端在交互界面中展示交互结果，其中，所述交互结果是与目标对象进行交互所生成的；
    所述客户端在所述交互界面中展示目标推送消息，其中，所述目标推送消息通过将所述目标对象的目标数据与预先存储的至少一个推送消息进行匹配所确定，所述目标数据至少包括：所述目标对象的交互行为数据。
  13. 根据权利要求12所述的方法，其中，所述目标推送消息通过将所述目标对象的当前状态与所述至少一个推送消息进行匹配所确定，所述当前状态是对所述目标对象的目标数据和目标特征进行处理得到的，所述目标特征是对所述目标数据进行处理得到的，所述目标数据还包括：所述目标对象的属性信息。
  14. 根据权利要求12所述的方法，其中，所述推送消息由服务器发送，并存储在数据库中。
  15. 一种消息推送系统，包括：
    服务器，用于发送推送消息；
    客户端，与所述服务器通信，用于存储所述推送消息，并将获取到的目标对象的目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息，向所述目标对象展示所述目标推送消息，所述目标数据至少包括：所述目标对象的交互行为数据。
  16. 根据权利要求15所述的系统，其中，所述客户端还用于对所述目标数据进行处理，得到所述目标对象的目标特征，对所述目标数据和所述目标特征进行处理，得到所述目标对象的当前状态，并将所述当前状态与所述至少一个推送消息进行匹配，确定所述目标推送消息，其中，所述目标数据还包括：所述目标对象的属性信息。
  17. 一种客户端，包括：
    存储器，用于存储至少一个推送消息；
    触发器，用于采集目标对象的目标数据，其中，所述目标数据至少包括：所述目标对象的交互行为数据；
    处理器，与所述存储器和所述触发器连接，用于将所述目标数据与所述至少一个推送消息进行匹配，确定目标推送消息；
    显示器，与所述处理器连接，用于向所述目标对象展示所述目标推送消息。
  18. 根据权利要求17所述的客户端，其中，所述处理器包括：
    第一处理模块，与所述触发器连接，用于对所述目标数据进行处理，得到所述目标对象的目标特征，其中，所述目标数据还包括：所述目标对象的属性信息；
    第二处理模块，与所述第一处理模块连接，用于对所述目标数据和所述目标特征进行处理，得到所述目标对象的当前状态；
    匹配模块，与所述第二处理模块、所述存储器和所述显示器连接，用于将所述当前状态与所述至少一个推送消息进行匹配，确定所述目标推送消息。
  19. 根据权利要求18所述的客户端，其中，所述处理器还包括：
    第三处理模块，与所述匹配模块和所述显示器连接，用于利用训练好的第二模型对所述目标特征进行处理，得到所述目标对象的目标概率值，并基于所述目标概率值，确定是否向所述目标对象展示所述目标推送消息。
  20. 一种存储介质，所述存储介质包括存储的程序，其中，在所述程序运行时控制所述存储介质所在设备执行权利要求1至14中任意一项所述的消息推送方法。
  21. 一种处理器，所述处理器用于运行程序，其中，所述程序运行时执行权利要求1至14中任意一项所述的消息推送方法。
  22. 一种消息推送系统，包括：
    处理器；以及
    存储器，与所述处理器连接，用于为所述处理器提供处理以下处理步骤的指令：获取目标对象的目标数据，其中，所述目标数据至少包括：所述目标对象的交互行为数据；将所述目标数据与预先存储的至少一个推送消息进行匹配，确定目标推送消息；向所述目标对象展示所述目标推送消息。
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