CN114520830A - Message pushing method, device and system - Google Patents
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Abstract
The application provides a message pushing method, a message pushing device and a message pushing system, which are used for constructing a user portrait by taking a user identifier as a center in a knowledge graph, so that the condition that configuration is inaccurate due to the fact that the user portrait is constructed by taking a user account as the center in the prior art is avoided, and the method, the device and the system can be more suitable for actual conditions. The method comprises the following steps: acquiring a user identifier from account information carried by a user account to be pushed, wherein the user account to be pushed is a user account of a house-watching application, the user identifier is an identifier with relevance to the user account to be pushed, and the user identifier is acquired under the confirmation of a user; determining a target user portrait matched with the user identification according to a knowledge graph, wherein the knowledge graph is constructed by different user identifications and incidence relations among different user portraits; and acquiring a house-watching service push message matched with the portrait of the target user, and pushing the house-watching service push message to a user account to be pushed, wherein the house-watching service push message comprises recommended contents of the house-watching service corresponding to the house-watching application.
Description
Technical Field
The present application relates to the field of internet, and in particular, to a method, an apparatus, and a system for pushing a message.
Background
Nowadays, many Applications (APPs) released by each large Application platform have a timely communication function or an information push function so as to push messages related to Application services to users and remind the users of timely processing items in some applications.
Generally, the application performs message pushing according to a user account logged in the application as a unit, taking a house-viewing application as an example, after a user logs in the user account of the user in the house-viewing application installed on a mobile phone, the house-viewing application can be triggered to recommend a proper house-viewing service to the user through user operation, and for a service side, the user portrait of the user can be used for selecting a suitable recommended content, and a recommendation message of the house-viewing service containing the recommended content is issued to push the recommended content to the user.
In the conventional research process of the related art, the inventor finds that in the conventional message pushing mechanism, user portraits are generally configured by taking a user account as a unit, and if a user registers a plurality of user accounts, different user portraits are likely to exist, so that different recommended contents are respectively sent.
Disclosure of Invention
The application provides a message pushing method, a message pushing device and a message pushing system, which are used for constructing a user portrait by taking a user identifier as a center in a knowledge graph, so that the condition that configuration is inaccurate due to the fact that the user portrait is constructed by taking a user account as the center in the prior art is avoided, the method can be more appropriate to the actual situation, and the message recommending precision can be improved to a certain extent.
In a first aspect, the present application provides a method for pushing a message, where the method includes:
acquiring a user identifier from account information carried by a user account to be pushed, wherein the user account to be pushed is a user account of a house-watching application, the user identifier is an identifier with relevance to the user account to be pushed, and the user identifier is acquired under the confirmation of a user;
determining a target user portrait matched with the user identification according to a knowledge graph, wherein the knowledge graph is constructed by different user identifications and incidence relations among different user portraits;
and acquiring a house-watching service push message matched with the portrait of the target user, and pushing the house-watching service push message to a user account to be pushed, wherein the house-watching service push message comprises recommended contents of the house-watching service corresponding to the house-watching application.
With reference to the first aspect of the present application, in a first possible implementation manner of the first aspect of the present application, the determining, by the user identifier, a target user portrait that matches the user identifier according to a knowledge graph includes:
and determining a target user portrait matched with the target mobile phone number from different user portraits configured on the basis of different mobile phone numbers in the knowledge map.
With reference to the first possible implementation manner of the first aspect of the present application, in a second possible implementation manner of the first aspect of the present application, the user identifier specifically further includes target consumption information and a target usage APP type, and determines a target user portrait adapted to a target mobile phone number from different user portraits configured on the basis of different mobile phone numbers in a knowledge graph, including:
and determining a target mobile phone number, target consumption information and a target user portrait matched with the target APP type from the knowledge map by taking different mobile phone numbers as the basis and combining the consumption information acquired under the authorization of the user and the different user portraits constructed by using the APP type.
With reference to the first aspect of the present application, in a third possible implementation manner of the first aspect of the present application, determining a target user portrait with a user identifier according to a knowledge graph includes:
determining a target user identification having an association with the user identification from the knowledge graph;
and acquiring the user portrait matched with the target user identifier as the target user portrait.
With reference to the third possible implementation manner of the first aspect of the present application, in a fourth possible implementation manner of the first aspect of the present application, determining, from a knowledge graph, a target user identifier having a correlation with a user identifier includes:
joint user identifications carrying user identifications are determined from the knowledge graph and are used as target user identifications, each joint user identification in the knowledge graph is specifically generated under a preset identification generation rule by a plurality of user identifications having relevance with the same user account, and the plurality of user identifications having relevance with the same user account are collected under the condition of user confirmation.
With reference to the fourth possible implementation manner of the first aspect of the present application, in a second possible implementation manner of the fifth aspect of the present application, the multiple user identifiers specifically include any combination of a mobile phone system identifier, a browser identifier, an IP address, and an identity card number in addition to the mobile phone number.
With reference to the first aspect of the present application, in a sixth possible implementation manner of the first aspect of the present application, the obtaining of a room-viewing service push message for matching a target user portrait includes:
in various initial house-viewing service push messages matched with the target user portrait, prediction processing is carried out on purchase intention probability by combining portrait content of the target user portrait and message content of the various initial house-viewing service push messages;
a room-viewing service push message is identified that achieves the highest probability of a prediction of willingness to purchase.
In a second aspect, the present application provides a message pushing apparatus, including:
the system comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit is used for acquiring a user identifier from account information carried by a user account to be pushed, the user account to be pushed is a user account of a house watching application, the user identifier is an identifier with relevance of the user account to be pushed, and the user identifier is acquired under the confirmation of a user;
the system comprises a determining unit, a processing unit and a display unit, wherein the determining unit is used for determining a target user portrait matched with a user identifier according to a knowledge graph, and the knowledge graph is constructed by different user identifiers and incidence relations among different user portraits;
the system comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit is used for acquiring a house-watching service push message matched with a target user portrait, and the house-watching service push message comprises recommended contents of house-watching services corresponding to house-watching applications;
and the pushing unit is used for pushing the room-viewing service pushing message to the user account to be pushed.
With reference to the second aspect of the present application, in a first possible implementation manner of the second aspect of the present application, the user identifier specifically includes a target mobile phone number of a visiting user, and the determining unit is specifically configured to:
and determining a target user portrait matched with the target mobile phone number from different user portraits configured on the basis of different mobile phone numbers in the knowledge map.
With reference to the first possible implementation manner of the second aspect of the present application, in a second possible implementation manner of the second aspect of the present application, the user identifier specifically further includes target consumption information and a target usage APP type, and the determining unit is specifically configured to:
and determining a target mobile phone number, target consumption information and a target user portrait matched with the target APP type from the knowledge map by taking different mobile phone numbers as the basis and combining the consumption information acquired under the authorization of the user and the different user portraits constructed by using the APP type.
With reference to the second aspect of the present application, in a third possible implementation manner of the second aspect of the present application, the determining unit is specifically configured to:
determining a target user identification having an association with the user identification from the knowledge graph;
and acquiring the user portrait matched with the target user identifier as the target user portrait.
With reference to the third possible implementation manner of the second aspect of the present application, in a fourth possible implementation manner of the second aspect of the present application, the determining unit is specifically configured to:
joint user identifications carrying user identifications are determined from the knowledge graph and are used as target user identifications, each joint user identification in the knowledge graph is specifically generated under a preset identification generation rule by a plurality of user identifications having relevance with the same user account, and the plurality of user identifications having relevance with the same user account are collected under the condition of user confirmation.
With reference to the fourth possible implementation manner of the second aspect of the present application, in the second possible implementation manner of the fifth aspect of the present application, the multiple user identifiers specifically include any combination of a mobile phone system identifier, a browser identifier, an IP address, and an identity card number in addition to the mobile phone number.
With reference to the second aspect of the present application, in a sixth possible implementation manner of the second aspect of the present application, the obtaining unit is specifically configured to:
in various initial house-viewing service push messages matched with the target user portrait, prediction processing is carried out on the purchase intention probability by combining portrait content of the target user portrait and message content of the various initial house-viewing service push messages;
a room-viewing service push message is identified that achieves the highest value of the purchase intention prediction probability.
In a third aspect, the present application further provides a message pushing system, which includes a processor and a memory, where the memory stores a computer program, and the processor executes the first aspect of the present application or a method provided by any one of possible implementation manners of the first aspect of the present application when calling the computer program in the memory.
In a fourth aspect, the present application further provides a computer-readable storage medium storing a plurality of instructions, which are suitable for being loaded by a processor to perform the method provided in the first aspect of the present application or any one of the possible implementation manners of the first aspect of the present application.
From the above, the present application has the following advantageous effects:
aiming at the pushing of the message, the method comprises the steps of firstly collecting a user identification from account information carried by a current user account to be pushed, then determining a target user portrait matched with the current user identification from different user identifications pre-constructed in a knowledge graph and association relations among different user portraits, and then pushing a room-viewing service pushing message matched with the target user portrait to the user account to be pushed.
Drawings
Fig. 1 is a schematic flow chart of a message pushing method according to the present application;
FIG. 2 is a schematic flow chart illustrating the determination of a target user representation according to the present application;
fig. 3 is a schematic structural diagram of a pushing device for the message of the present application;
fig. 4 is a schematic structural diagram of a push system of the application message.
Detailed Description
First, before the present application is introduced, the relevant contents of the present application with respect to the application background will be described.
The message pushing method, the message pushing device and the computer readable storage medium can be applied to a message pushing system and used for constructing the user portrait by taking the user identification as the center in the knowledge graph, so that the situation that configuration is inaccurate due to the fact that the user portrait is constructed by taking the user account as the center in the prior art is avoided, the method and the device can be more closely applied to the actual situation, and the message recommending precision can be improved to a certain extent.
In the message pushing method provided by the present application, an execution main body of the message pushing method may be a message pushing apparatus, or a message pushing system integrated with the apparatus, and the message pushing system may include different types of processing devices such as a server device, a physical host, or a User Equipment (UE), which may be specifically adjusted according to a message pushing form or an actual situation of a system architecture.
The message pushing device may be implemented in a hardware or software manner, and the UE may specifically be a terminal device such as a smart phone, a tablet computer, a notebook computer, a palm computer, a desktop computer, or a Personal Digital Assistant (PDA).
Fig. 1 shows a flowchart of a method for pushing a message in the present application, and as shown in fig. 1, the method provided in the present application may specifically include the following steps:
step S101, acquiring a user identifier from account information carried by a user account to be pushed, wherein the user account to be pushed is a user account of a house watching application, the user identifier is an identifier with relevance of the user account to be pushed, and the user identifier is acquired under user confirmation;
step S102, determining a target user portrait matched with a user identifier according to a knowledge graph, wherein the knowledge graph is constructed by different user identifiers and incidence relations among different user portraits;
step S103, acquiring a house-watching service push message matched with the portrait of the target user, and pushing the house-watching service push message to the account of the user to be pushed, wherein the house-watching service push message comprises recommended contents of the house-watching service corresponding to the house-watching application.
As can be seen from the embodiment shown in fig. 1, for the push of the message, the application first obtains, from account information carried by the current user account to be pushed, collecting user identification, and from the association relationship between different user identifications and different user figures pre-constructed in the knowledge map, determining the target user portrait matched with the current user identification, and then pushing a room-viewing service push message matched with the target user portrait to the user account to be pushed, in the process, compared with the situation that the user portrait is not accurately configured in the prior art when the user portrait is constructed by taking the user account as the center, the user portrait is constructed by taking the user identification as the center, therefore, a more accurate user portrait is constructed for different users at a more bottom layer angle, and the method is more suitable for the actual situation, so that the recommendation precision of the message can be improved to a certain extent.
The following proceeds to a detailed description of the various steps shown in fig. 1 and the embodiments that may be employed in practice:
in the application, the account to be pushed is specifically a user account of the house-watching application, and it can be understood that the house-watching service provider can push the house-watching application to the user according to the house-watching requirement of the user. Before checking the house property on the spot, the user can know the house property on line through the house-looking service provided by the house-looking application, further can reserve the off-line house-looking service through the reserved house-looking service provided by the house-looking application, or enjoy the related house property introduction service through the special person introduction service provided by the house-looking application, or initiate the house-purchasing service through the house-purchasing service provided by the house-looking application.
In the using process of the house-watching application, the pushing of messages such as house dynamic information update reminding concerned by the user, house recommendation initiated by the user, order reminding of house-watching service, house recommendation customized by the application, house recommendation broadcasted by the application and the like can be related, the pushing content can be specifically adjusted along with different house-watching services of the house-watching application by introducing the message pushing method provided by the application, and the pushing content is not limited herein. In practical application, the accuracy of configuring the user portrait is improved, so that the recommendation accuracy of the message can be improved, and the situation of too many invalid recommendations is avoided, thereby ensuring the user experience of house-watching application.
The account information carried by the user account to be pushed may specifically refer to account information stored in a cloud server, or may refer to account information stored locally in the UE where the room-viewing application is installed, and correspondingly, the user identifier is collected from the account information carried by the user account to be pushed, specifically, the account information stored by the user account to be pushed may be queried on a server in the system, the collected account information may also be reported for triggering the UE where the room-viewing application is installed, or the account information automatically reported for receiving the UE where the room-viewing application is installed may also be adjusted according to the actual situation.
It should be understood that besides basic information such as account Identification (ID), there may be some user information that is sensitive to a user, and in the present application, the user Identification related to the collection from the account information is collected under user confirmation, so that it can be seen that, when the push method of the message provided in the present application is applied, the push mechanism of the push method of the message provided in the present application can be triggered autonomously by the user, and the user can actively start or close the push mechanism of the push method of the message provided in the present application in the setting information of the house-viewing application, or can start or close the push mechanism of the push method of the message provided in the present application in the control window displayed by the house-viewing application.
In the method, aiming at the user portrait of the user, the user portrait is constructed by taking the user identification which is associated with the user as the center, so that the limitation of a user account is avoided, and a more accurate user portrait is constructed for different users from a more bottom-level angle.
The user portrait is specifically constructed in a knowledge graph, different user identifications and incidence relations among different user portraits are constructed through the knowledge graph, and then matching of the user portrait can be carried out according to the currently collected user identifications.
The knowledge graph related to the house-viewing application is constructed by describing various entities or concepts, wherein the description is a user portrait, the inherent characteristics of the user portrait are described in the user portrait through Attribute-Value Pair (AVP), and the relationship between different user portraits is connected through different user identifications.
The construction of the knowledge graph specifically comprises the steps of collecting initial user identification, configuring different adaptive user figures according to message pushing content related to house-viewing application, and taking Euclidean distances between different user figures and different user identifications, in configured semantic similarity and logical correlation as the correlation of the user figures, so that the correlation relation between different user identifications related to house-viewing application and different user figures is constructed.
And the method can configure adaptive room-viewing service push messages for different user portraits, so that after the adaptive target user portraits are determined through the knowledge graph, the room-viewing service push messages adaptive to the target user portraits can be fed back, and the purpose of improving message push precision is achieved.
The house-viewing service push message can be configured for the user portrait in advance or configured for the user portrait in real time, and in practical application, the house-viewing service push message which can be pushed by different user portraits is described in a message push list, and the messages can be written into a table after being determined in advance or can be adjusted in content after being written into the table.
As a practical implementation mode, the mobile phone number can be used as the user identification to construct the user portrait, and therefore the target user portrait matched with the target mobile phone number of the visiting user associated with the account to be pushed currently can be determined from different user portraits configured on the basis of different mobile phone numbers in the knowledge graph.
It can be understood that, in practical applications, when a user performs a series of house-viewing services through a house-viewing application, the user can leave a mobile phone number for a worker to conveniently perform telephone communication, or the house-viewing services are reserved through the mobile phone number, and the like, which relate to the use of the mobile phone number, so that the mobile phone number with a high use frequency of the user in the house-viewing services can be specifically adopted as a user identifier with the user identification property, and the user identification effect is more reliable and accurate compared with an account ID.
Secondly, as a supplement to the mobile phone number, the method and the system can also construct the user portrait with different user identifications adapted based on different mobile phone numbers carried in account information of different user accounts and combined with consumption information and APP types collected under the authorization of the user.
Therefore, the current adaptive target user portrait can be determined based on different mobile phone numbers in the knowledge graph and by combining consumption information acquired under the authorization of a user and different user portraits constructed by using information such as APP types.
It can be understood that in the message pushing scenario related to the house-watching application, consuming information, using APP type, even other user authorization information or manual supplementary information can further provide powerful data support for user representation construction.
Furthermore, in order to improve the matching accuracy of the user portrait and better identify real users behind different user accounts, the application also provides a user identification association mechanism.
It will be appreciated that there may be instances where there is not complete agreement between the collected user identification and the user identification involved in the knowledge-graph. For example, in the knowledge graph, in order to facilitate the use of the user identifier, the user identifier may be processed in a unified manner in terms of identifier form, identifier content, and the like, and the processing may be different from the initial user identifier currently collected from the account information, so that, in the process of determining the target user portrait, as shown in fig. 2, a flow diagram of determining the target user portrait in the present application may specifically include:
step S201, determining a target user identification having relevance with the user identification from a knowledge graph;
the target user id may be determined, for example, by performing euclidean distance calculation specifically through semantic similarity, logical correlation, and the like, and using the user id with the minimum euclidean distance as the user id with the highest similarity as the target user id.
Step S202, obtaining the user portrait with the target user identification adapted as the target user portrait.
And when the target user identification obtained by the previous unification treatment is determined, the user portrait with the target user identification adapted can be used as the target user portrait.
It can be understood that, in practical applications, matching may be performed separately for each collected user identifier, or matching may be performed for the user identifiers as a whole.
As another exemplary implementation manner, a joint user identifier mechanism may be introduced to improve accurate identification of a user behind a user account, and the joint user identifier may be used as the matching target user identifier.
In this case, each joint user identifier in the knowledge graph is specifically generated under a preset identifier generation rule by using a plurality of user identifiers having an association with the same user account, and the plurality of user identifiers having an association with the same user account are acquired under the condition of user confirmation.
It can be understood that, in the process of using the house-viewing application, each user may have more than two types of user identifiers considered to be unique in the account information, even if the user logs in different user accounts on the UE, the user identifiers are generally unique and unchangeable, and thus, the user identifiers considered to be unique are generated into a combined user identifier through the identifier generation strategy preset in the application.
For example, the multiple user identifiers for generating the combined user identifier may specifically include any combination of unique user information such as a mobile phone system identifier, a browser identifier, an IP address, and an identification number, in addition to a mobile phone number.
It can be understood that the user id generating the joint user id mentioned here is based on the unique user id selected for identifying the real user, and the user id combined based on the mobile phone number and constructed by the consumption information collected under the authorization of the user and the APP type, and the two user ids are different for different purposes, one is based on the accurate identification of the real user and the other is based on the accurate identification of the user figure, and the two user ids involved in the processing can be combined together for use essentially, and the content considers the difference of the two requirements, so as to adjust the exposed user id, and the user id not directly exposed can be used as a further supplement of the user id.
And after the target user portrait is determined, a room-viewing service push message matched with the target user portrait can be pushed to the user account to be pushed.
The method and the device for pushing the house-watching service push message have the advantages that the requirement for improving the push precision is met, the purchase intention prediction probability value can be introduced when the message is pushed, the purchase intention of the user side is quantized, and the house-watching service push message with the highest purchase intention probability is selected to be pushed according to service requirements.
Correspondingly, the obtaining and processing of the room-viewing service push message may include:
in various initial house-viewing service push messages matched with the target user portrait, prediction processing is carried out on the purchase intention probability by combining portrait content of the target user portrait and message content of the various initial house-viewing service push messages;
a room-viewing service push message is identified that achieves the highest probability of a prediction of willingness to purchase.
It can be understood that the room-viewing service push message with the highest purchase intention prediction value is pushed, and the user side can receive the recommended content in the room-viewing service push message more possibly, so that the user of the room-viewing application can receive content recommendation with higher acceptance, and the room-viewing application has better application value for commercial application of the room-viewing application.
The above is a description of a message pushing method according to the present application, and in order to better implement the message pushing method provided by the present application, the present application also provides a message pushing apparatus.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a pushing device for the message of the present application, in the present application, the device 300 may specifically include the following structure:
the system comprises an acquisition unit 301, a processing unit and a processing unit, wherein the acquisition unit 301 is used for acquiring a user identifier from account information carried by a user account to be pushed, the user account to be pushed is a user account of a house-watching application, the user identifier is an identifier with relevance of the user account to be pushed, and the user identifier is acquired under the confirmation of a user;
the determining unit 302 is configured to determine a target user portrait with a matching user identifier according to a knowledge graph, where the knowledge graph is constructed by different user identifiers and association relationships between different user portraits;
an obtaining unit 303, configured to obtain a house-viewing service push message that is adapted to the portrait of the target user, where the house-viewing service push message includes recommended content of a house-viewing service corresponding to the house-viewing application;
a pushing unit 304, configured to push a room-viewing service push message to the user account to be pushed.
With reference to the second aspect of the present application, in a first possible implementation manner of the second aspect of the present application, the user identifier specifically includes a target mobile phone number of a visiting user, and the determining unit 302 is specifically configured to:
and determining a target user portrait matched with the target mobile phone number from different user portraits configured on the basis of different mobile phone numbers in the knowledge map.
With reference to the first possible implementation manner of the second aspect of the present application, in a second possible implementation manner of the second aspect of the present application, the user identifier specifically further includes target consumption information and a target usage APP type, and the determining unit 302 is specifically configured to:
and determining a target mobile phone number, target consumption information and a target user portrait matched with the target APP type from the knowledge map by taking different mobile phone numbers as the basis and combining the consumption information acquired under the authorization of the user and the different user portraits constructed by using the APP type.
With reference to the second aspect of the present application, in a third possible implementation manner of the second aspect of the present application, the determining unit 302 is specifically configured to:
determining a target user identification having an association with the user identification from the knowledge graph;
and acquiring the user portrait matched with the target user identifier as the target user portrait.
With reference to the third possible implementation manner of the second aspect of the present application, in a fourth possible implementation manner of the second aspect of the present application, the determining unit 302 is specifically configured to:
joint user identifications carrying user identifications are determined from the knowledge graph and are used as target user identifications, each joint user identification in the knowledge graph is specifically generated under a preset identification generation rule by a plurality of user identifications having relevance with the same user account, and the plurality of user identifications having relevance with the same user account are collected under the condition of user confirmation.
With reference to the fourth possible implementation manner of the second aspect of the present application, in the second possible implementation manner of the fifth aspect of the present application, the multiple user identifiers specifically include any combination of a mobile phone system identifier, a browser identifier, an IP address, and an identity card number in addition to the mobile phone number.
With reference to the second aspect of the present application, in a sixth possible implementation manner of the second aspect of the present application, the obtaining unit 303 is specifically configured to:
in various initial house-viewing service push messages matched with the target user portrait, prediction processing is carried out on the purchase intention probability by combining portrait content of the target user portrait and message content of the various initial house-viewing service push messages;
a room-viewing service push message is identified that achieves the highest value of the purchase intention prediction probability.
The present application further provides a message pushing system, which may include one device or multiple devices, and referring to fig. 4 as an example, fig. 4 shows a schematic structural diagram of the message pushing system of the present application, specifically, the message pushing system of the present application includes a processor 401, a memory 402, and an input/output device 403, where the processor 401 is configured to implement the steps of the message pushing method in the corresponding embodiment of fig. 1 when executing a computer program stored in the memory 402; alternatively, the processor 401 is configured to implement the functions of the units in the corresponding embodiment of fig. 3 when executing the computer program stored in the memory 402, and the memory 402 is configured to store the computer program required by the processor 401 to execute the push method of the message in the corresponding embodiment of fig. 1.
Illustratively, a computer program may be partitioned into one or more modules/units, which are stored in memory 402 and executed by processor 401 to accomplish the present application. One or more modules/units may be a series of computer program instruction segments capable of performing certain functions, the instruction segments being used to describe the execution of a computer program in a computer device.
The push system of the message may include, but is not limited to, a processor 401, a memory 402, an input output device 403. It will be understood by those skilled in the art that the illustration is merely an example of a push system for messages and does not constitute a limitation of the push system for messages and may include more or less components than those illustrated, or some components may be combined, or different components, for example, the push system for messages may also include a network access device, a bus, etc., and the processor 401, the memory 402, the input output device 403, and the network access device, etc., are connected via the bus.
The Processor 401 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor being the control center of the message push system, with various interfaces and lines connecting the various parts of the overall system.
The memory 402 may be used to store computer programs and/or modules, and the processor 401 may implement various functions of the computer device by running or executing the computer programs and/or modules stored in the memory 402 and invoking data stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the push system of the message, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The processor 401, when executing the computer program stored in the memory 402, may specifically implement the following functions:
acquiring a user identifier from account information carried by a user account to be pushed, wherein the user account to be pushed is a user account of a house-watching application, the user identifier is an identifier with relevance to the user account to be pushed, and the user identifier is acquired under the confirmation of a user;
determining a target user portrait matched with the user identification according to a knowledge graph, wherein the knowledge graph is constructed by different user identifications and incidence relations among different user portraits;
and acquiring a house-watching service push message matched with the portrait of the target user, and pushing the house-watching service push message to a user account to be pushed, wherein the house-watching service push message comprises recommended contents of the house-watching service corresponding to the house-watching application.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described message pushing apparatus, system and corresponding units thereof may refer to the description of the message pushing method in the embodiment corresponding to fig. 1, and are not described herein again in detail.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
For this reason, the present application provides a computer-readable storage medium, where a plurality of instructions are stored, where the instructions can be loaded by a processor to execute steps in the method for pushing a message in the embodiment corresponding to fig. 1 in the present application, and specific operations may refer to descriptions of the method for pushing a message in the embodiment corresponding to fig. 1, which are not described herein again.
Wherein the computer-readable storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the instructions stored in the computer-readable storage medium can execute the steps in the message pushing method in the embodiment corresponding to fig. 1, the beneficial effects that can be achieved by the message pushing method in the embodiment corresponding to fig. 1 can be achieved, which are described in detail in the foregoing description and are not described again here.
The method, the apparatus, the system, and the computer-readable storage medium for pushing messages provided by the present application are described in detail above, and a specific example is applied in the present application to explain the principles and embodiments of the present application, and the description of the above embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A method for pushing a message, the method comprising:
acquiring a user identifier from account information carried by a user account to be pushed, wherein the user account to be pushed is a user account of a house watching application, the user identifier is an identifier with relevance to the user account to be pushed, and the user identifier is acquired under user confirmation;
determining a target user portrait matched with the user identification according to a knowledge graph, wherein the knowledge graph is constructed by different user identifications and incidence relations among different user portraits;
and acquiring a house-viewing service push message matched with the portrait of the target user, and pushing the house-viewing service push message to the account of the user to be pushed, wherein the house-viewing service push message comprises recommended contents of house-viewing services corresponding to the house-viewing application.
2. The method of claim 1, wherein the user identifier specifically includes a target cell phone number of a visiting user, and the determining a target user representation matching the user identifier according to a knowledge graph includes:
and determining a target user portrait adapted to the target mobile phone number from different user portraits configured on the basis of different mobile phone numbers in the knowledge graph.
3. The method of claim 2, wherein the user id further includes target consumption information and a target APP type, and the determining the target user representation to which the target cell phone number is adapted from different user representations configured based on different cell phone numbers in the knowledge-graph comprises:
and determining the target mobile phone number, the target consumption information and the target user portrait matched with the target APP type by combining consumption information acquired under the authorization of a user and different user portraits constructed by using the APP type from the knowledge map on the basis of different mobile phone numbers.
4. The method of claim 1, wherein said determining a target user representation from a knowledge-graph that matches the user identification comprises:
determining a target user identification having an association with the user identification from the knowledge-graph;
and acquiring the user portrait matched with the target user identifier as the target user portrait.
5. The method of claim 4, wherein the determining a target user identifier from the knowledge-graph that has an association with the user identifier comprises:
determining a joint user identifier carrying the user identifier from the knowledge graph as the target user identifier, wherein each joint user identifier in the knowledge graph is specifically generated under a preset identifier generation rule by using a plurality of user identifiers having relevance with the same user account, and the plurality of user identifiers having relevance with the same user account are acquired under the condition of user confirmation.
6. The method of claim 5, wherein the plurality of user identities include any combination of a mobile phone system identity, a browser identity, an IP address, and an identification number in addition to a mobile phone number.
7. The method of claim 1, wherein obtaining the room-viewing service push message adapted to the target user representation comprises:
in the various initial room-viewing service push messages matched with the target user portrait, predicting purchase intention probability by combining portrait content of the target user portrait and message content of the various initial room-viewing service push messages;
identifying the room-viewing service push message that achieves the highest value of the purchase intention prediction probability.
8. An apparatus for pushing a message, the apparatus comprising:
the system comprises a collecting unit, a judging unit and a display unit, wherein the collecting unit is used for collecting a user identification from account information carried by a user account to be pushed, the user account to be pushed is a user account of a house-watching application, the user identification is an identification which is associated with the user account to be pushed, and the user identification is collected under the confirmation of a user;
the determining unit is used for determining the target user portrait matched with the user identification according to a knowledge graph, wherein the knowledge graph is constructed by different user identifications and incidence relations among different user portraits;
the acquisition unit is used for acquiring the house-watching service push message matched with the target user portrait, and the house-watching service push message comprises recommended content of the house-watching service corresponding to the house-watching application;
and the pushing unit is used for pushing the room-viewing service pushing message to the user account to be pushed.
9. A system for pushing messages, comprising a processor and a memory, in which a computer program is stored, the processor executing the method according to any one of claims 1 to 7 when it calls the computer program in the memory.
10. A computer-readable storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the method of any one of claims 1 to 7.
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