CN113781166A - Message pushing method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application relates to a message pushing method, a message pushing device, electronic equipment and a storage medium, which relate to the technical field of Internet, wherein the message pushing method comprises the steps of obtaining user behavior data of a first user terminal; constructing a first user representation based on the user behavior data; pushing a target push message to the first user terminal, wherein the target push message is a message pushed to a second user terminal corresponding to a second user portrait; the second user representation is matched to the first user representation. By the method, the first user portrait matched with the second user portrait can be determined, and the target push message pushed to the second user terminal is pushed to the first user terminal, so that the user of the first user terminal can obtain the push message interested by the user, and the accuracy of message pushing is improved.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a method and an apparatus for pushing a message, an electronic device, and a storage medium.
Background
With the development of internet technology, message pushing is more and more popular in people's daily life. Enterprises often push product-related messages to users in order to advertise their products. However, since the pushed messages have randomness, many pushed messages are not the contents really interested by the user, which easily causes the user's reaction and waste of pushing resources. Therefore, how to realize accurate pushing of messages becomes an urgent technical problem to be solved.
Disclosure of Invention
The application provides a message pushing method, a message pushing device, electronic equipment and a storage medium, and aims to solve the problem that the accuracy of the existing message pushing mode is low.
In a first aspect, the present application provides a message pushing method, where the method includes:
acquiring user behavior data of a first user terminal;
constructing a first user representation based on the user behavior data;
pushing a target push message to the first user terminal, wherein the target push message is a message pushed to a second user terminal corresponding to a second user portrait; the second user representation is matched to the first user representation.
Optionally, the acquiring the user behavior data of the first user terminal includes:
the method comprises the steps of obtaining user behavior data of a first user terminal through a preset data buried point, wherein the preset data buried point obtains the user behavior data based on at least one of the following items: click events, time period events, and sharing events;
the click event is obtained based on click operation of a user on a product page, the time period event is obtained based on browsing duration of the user on the product page, the sharing event is obtained based on sharing operation of the user on the product page, and different types of product pages correspond to different types of products.
Optionally, constructing a first user representation based on the user behavior data includes:
acquiring first data, second data and third data corresponding to different types of products based on the user behavior data, wherein the first data is determined based on the click event, the second data is determined based on the time period event, and the third data is determined based on the sharing event;
determining grading results of different types of products according to the first data, the second data and the third data, wherein the grading results are used for representing the interest degree of the user in the products;
and constructing the first user portrait according to the grading result.
Optionally, before the pushing the targeted push message to the first user terminal, the method further includes:
and determining a second user portrait matched with the first user portrait according to the grading result of each type of product in the first user portrait.
Optionally, the determining a second user representation matching the first user representation according to the scoring result of each type of product in the first user representation includes:
under the condition that the user portrait is represented by a polygon, determining a second user portrait matched with the first user portrait according to the outline edge of the polygon corresponding to the first user portrait, wherein the number of vertexes in the polygon corresponding to the first user portrait is in one-to-one correspondence with the types of the products, and the distance from each vertex to a preset origin is in direct proportion to the scoring result of the product of the type corresponding to the vertex; or,
calculating the variance between the scoring results of the products of all types in the first user portrait and the scoring results of the products of all types in the candidate user portrait, and determining the candidate user portrait with the variance smaller than a preset threshold value as the second user portrait, wherein the candidate user portrait is constructed based on user behavior data of a candidate user terminal.
In a second aspect, the present application further provides a message pushing apparatus, where the apparatus includes:
the acquisition module is used for acquiring user behavior data of the first user terminal;
a construction module for constructing a first user representation based on the user behavior data;
the pushing module is used for pushing a target pushing message to the first user terminal, wherein the target pushing message is a message pushed to a second user terminal corresponding to a second user portrait; the second user representation is matched to the first user representation.
Optionally, the obtaining module includes:
the first obtaining submodule is used for obtaining user behavior data of the first user terminal through a preset data buried point, and the preset data buried point obtains the user behavior data based on at least one of the following items: click events, time period events, and sharing events;
the click event is obtained based on click operation of a user on a product page, the time period event is obtained based on browsing duration of the user on the product page, the sharing event is obtained based on sharing operation of the user on the product page, and different types of product pages correspond to different types of products.
Optionally, the building module comprises:
the second obtaining sub-module is used for obtaining first data, second data and third data corresponding to different types of products based on the user behavior data, wherein the first data are determined and obtained based on the click event, the second data are determined and obtained based on the time period event, and the third data are determined and obtained based on the sharing event;
the first determining sub-module is used for determining grading results of different types of products according to the first data, the second data and the third data, and the grading results are used for representing the interest degree of a user in the products;
and the construction submodule is used for constructing the first user portrait according to the grading result.
Optionally, the apparatus further comprises:
and the determining module is used for determining a second user portrait matched with the first user portrait according to the grading result of each type of product in the first user portrait.
Optionally, the determining module includes:
the second determining submodule is used for determining a second user portrait matched with the first user portrait according to the outline edge of the polygon corresponding to the first user portrait under the condition that the user portrait is represented by a polygon, wherein the number of vertexes in the polygon corresponding to the first user portrait corresponds to the type of the product one by one, and the distance from each vertex to a preset origin is in direct proportion to the scoring result of the product of the type corresponding to the vertex; or,
and the third determining submodule is used for calculating the variance between the scoring results of the products of all types in the first user portrait and the scoring results of the products of all types in the candidate user portrait, and determining the candidate user portrait with the variance smaller than a preset threshold value as the second user portrait, wherein the candidate user portrait is constructed on the basis of user behavior data of a candidate user terminal.
In a third aspect, the present application further provides an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
a processor, configured to implement the steps of the message pushing method according to any embodiment of the first aspect when executing a program stored in a memory.
In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the message pushing method according to any one of the embodiments of the first aspect.
In the embodiment of the application, user behavior data of a first user terminal is obtained; constructing a first user representation based on the user behavior data; pushing a target push message to the first user terminal, wherein the target push message is a message pushed to a second user terminal corresponding to a second user portrait; the second user representation is matched to the first user representation. By the method, the first user portrait matched with the second user portrait can be determined, and the target push message pushed to the second user terminal is pushed to the first user terminal, so that the user of the first user terminal can obtain the push message interested by the user, and the accuracy of message pushing is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic flowchart of a message pushing method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a polygon representation of a user representation provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a message pushing apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic flowchart of a message pushing method according to an embodiment of the present application. As shown in fig. 1, the message pushing method may include the following steps:
and 102, acquiring user behavior data of the first user terminal.
It should be noted that the message pushing method can be applied to a message pushing system, where the message pushing system includes a server and a plurality of user terminals, and the server may be in wired or wireless connection with the plurality of user terminals. The server can receive user behavior data sent by the user terminals, construct user figures according to the user behavior data, and push messages according to the user figures corresponding to the user terminals.
Specifically, the first user terminal may be a mobile terminal or a terminal device such as a personal computer currently used by the first user. The user behavior data is data obtained by an input operation performed by the first user on the user interface of the first user terminal, where the input operation may be a click operation, a play operation, a share operation, and the like. The user behavior data can be obtained through a preset data buried point or other user-defined data interfaces, and the method is not particularly limited in the application.
In this step, the first user terminal may report the acquired user behavior data to the server in real time, may also report the acquired user behavior data to the server at regular time, and may also report the user behavior data when the server sends a data request.
In the step, the server can determine data such as the number of clicks, the viewing time length and the sharing time of the first user on different types of products according to the user behavior data, determine the interest degree of the first user on the different types of products according to the number of clicks, the viewing time length and the sharing time, and further construct the first user portrait according to the interest degree. For example, assuming that the user behavior data includes operation data of the first user on related messages of different types of electrical appliances in a certain shopping application, the types of the electrical appliances include an air conditioner, a washing machine, a refrigerator, a television, a range hood, a water heater, and the like, the server may count the number of times that each type of electrical appliance is clicked within a preset time period, the viewing duration after each click, and the number of times that each type of electrical appliance is shared within a preset time period. Assuming that the server presets related messages for the appliances, the score is 15 minutes per click, the score is 10 minutes per minute of viewing, and the score is 2 minutes per minute of sharing, when the number of clicks of a certain appliance is 2, the total viewing time is 3 minutes, and the number of sharing is one, the score of the appliance is 15 × 2+10 × 3+1 × 2 — 62. And obtaining the grading result of each type of electric appliance by adopting the same mode, and further constructing a first user portrait of the first user according to the grading result of each type of electric appliance.
It should be noted that the server may acquire user behavior data of other user terminals in the same manner, and construct a user portrait corresponding to other users according to the acquired user behavior data. In this way, a user image library of each user is formed in the server.
After the first user representation is constructed, the server may match the first user representation with other user representations in a user representation library to obtain a second user representation that matches the first user representation. Since the user profiles can be used to characterize the interest level of users in different types of products, if two or more user profiles are determined to match, the preference of the users is the same or similar, so that the interest of other users can be determined by the interest of one of the users. In this way, the server may push the target push message pushed to the second user terminal to the first user terminal, so that the message pushed to the first user terminal is a message in which the first user is interested.
It should be noted that the second user representation here matches the first user representation, and the scoring results for each type of product in the second user representation and the first user representation may be considered to be the same or similar. The target push message may be understood as a push message satisfying the likeness represented by the second user representation, such as a related message representing the second user's preference regarding the type of air conditioner, in which case the push message may be a message related to the type of air conditioner.
In this embodiment, the first user portrait matched with the second user portrait is determined, and then the target push message pushed to the second user terminal is pushed to the first user terminal, so that the user of the first user terminal can obtain the push message interested by the user, and the accuracy of message pushing is improved.
Further, acquiring the user behavior data of the first user terminal includes:
the user behavior data of the first user terminal is obtained through a preset data buried point, and the user behavior data is obtained through the preset data buried point based on at least one of the following items: click events, time period events, and sharing events;
the click event is obtained based on click operation of a user on a product page, the time period event is obtained based on browsing duration of the user on the product page, the sharing event is obtained based on sharing operation of the user on the product page, and different types of product pages correspond to different types of products.
Specifically, the preset data embedding point is a Software Development Kit (SDK) preset in a web page or an application program of the user terminal and used for collecting and transmitting user behavior data. The preset data burying point can collect data based on one or more of a click event, a time period event and a sharing event generated by the user terminal. According to the click event, the preset data buried point can collect data such as a product name and a product category of a product page corresponding to the click operation of the user; according to the time period event, the preset data buried point can acquire the duration of a product page currently browsed by a user; according to the sharing event, the preset data buried point can acquire data such as the product name and the product category of a product page corresponding to the user sharing operation. And finally, after the user behavior data are collected at the preset data buried points, the user behavior data can be sent to a server, so that the server can analyze the user behavior data conveniently and construct a user portrait.
It should be noted that the product herein may be a physical product, such as an electrical appliance, furniture, a building, etc., or may be a virtual product, such as a telephone fee package, a financial product, a video program, etc. The user can click, check, share and other related operations based on the information of the products displayed on the user terminal, and user behavior data corresponding to the products are obtained through preset data embedding points.
In the embodiment, the user behavior data is acquired by presetting the data embedding points, so that the range covered by the acquired user behavior data is wider, the data acquisition time is quicker, and the user portrait constructed according to the user behavior data is more real.
Further, constructing a first user representation based on the user behavior data includes:
acquiring first data, second data and third data corresponding to different types of products based on user behavior data, wherein the first data is determined based on a click event, the second data is determined based on a time period event, and the third data is determined based on a sharing event;
determining grading results of different types of products according to the first data, the second data and the third data, wherein the grading results are used for representing the interest degree of the user in the products;
and constructing the first user portrait according to the grading result.
Specifically, the first data refers to data determined based on click incidents, such as the number of clicks of a user; the second data is determined to obtain data based on a time period event, such as the watching duration of a user; the third data refers to data determined based on a sharing event, such as sharing times of users. Therefore, the server can determine grading results of different types of products according to the first data, the second data and the third data corresponding to the different types of products, and further construct the user portrait.
For example, assuming that the user behavior data includes operation data of a first user on product pages of different types of electrical appliances in a certain shopping application, where the types of the electrical appliances include an air conditioner, a washing machine, a refrigerator, a television, a range hood, a water heater, and the like, the server may count the number of times that the product pages of the various types of electrical appliances are clicked within a preset time period (i.e., first data), the length of time that the product pages are watched after each click (i.e., second data), and the number of times that the product pages are shared within the preset time period (i.e., third data), respectively. If the server presets a score for operating the product page of the appliance, for example, the score per click is 15 minutes, the score per minute of viewing is 10 minutes, and the score per share is 2 minutes, then when the product page of a certain appliance is clicked 2 times, the total viewing time is 3 minutes, and the number of shares is one, the score of the appliance is 15 × 2+10 × 3+1 × 2 — 62. And obtaining the grading result of each type of electric appliance by adopting the same mode, and further constructing a first user portrait of the first user according to the grading result of each type of electric appliance.
For another example, assuming that the user behavior data includes operation data of the first user on different types of video programs in a certain video playing application, the video programs include types in sports, entertainment, news, and record 4, the server may count the number of times that pages of each type of video program are clicked within a preset time period (i.e., the first data), the length of time that pages are viewed after each click (i.e., the second data), and the number of times that pages are shared within a preset time period (i.e., the third data), respectively. Assuming that the page of the video program is preset in the server, the score of each click is 10 points, the score of each time the whole video is viewed is 5 points, and the score of each share is 5 points, when the click number of a certain video page is 4 times, 50% of the total video time is viewed, and the share number is 2 times, the score of the video program is 10 + 4+ 5% 50% +5 + 2 ═ 52.5. And obtaining the scoring result of each type of video program by adopting the same mode, and further constructing the first user portrait of the first user according to the scoring result of each type of video program.
Of course, in practical application, the average value of the scoring results of different products in the same type of products can be taken, and when the average value is stabilized within a certain interval, the interval is taken as the scoring result of the type of products, which is not specifically limited in the present application.
In this embodiment, the scoring results of different types of products can be determined by acquiring the first data, the second data and the third data corresponding to the different types of products, and then the user portrait can be constructed according to the scoring results of the different types of products, so that the user portrait can truly reflect the interest degree of the user in the different types of products.
Further, before pushing the targeted push message to the first user terminal, the method further comprises:
a second user representation that matches the first user representation is determined based on scoring results for each type of product in the first user representation.
In one embodiment, since the server needs to push messages to a plurality of user terminals, in order to ensure that each user obtains a message that is of interest to the server, the server needs to determine users with similar preferences based on the user profile library, so as to realize accurate pushing of the message. Therefore, before the server pushes the target push message to the first user terminal, the server needs to determine a second user portrait matching the first user portrait according to the scoring results of each type of product in the first user portrait.
Specifically, the step of determining a second user representation that matches the first user representation based on scoring of each type of product in the first user representation includes:
under the condition that the user portrait is represented by a polygon, determining a second user portrait matched with the first user portrait according to the outline edge of the polygon corresponding to the first user portrait, wherein the number of vertexes in the polygon corresponding to the first user portrait is in one-to-one correspondence with the types of products, and the distance from each vertex to a preset origin is in direct proportion to the scoring result of the product of the type corresponding to the vertex; or,
calculating the variance between the scoring results of the products of the types in the first user portrait and the scoring results of the products of the types in the candidate user portrait, and determining the candidate user portrait with the variance smaller than a preset threshold value as a second user portrait, wherein the candidate user portrait is constructed based on user behavior data of a candidate user terminal.
In one embodiment, the user representation may be represented by a polygon, where the polygon includes a plurality of vertices, each vertex represents a type of product, and a distance from the vertex to the predetermined origin is positively correlated to a scoring result corresponding to the type of product. Continuing with the above example, assuming that the scoring results of 6 types of appliances (air conditioner, washing machine, refrigerator, television, range hood, and water heater) focused by the user are 20, 50, 40, 80, 10, and 50, respectively, the polygon representation of the user figure is shown in fig. 2. Similarly, other user images can also be represented by polygons, so that the polygon representation corresponding to each user image can be obtained. Therefore, the polygons with similar outline can be determined by comparing the outline of each polygon, and the users corresponding to the polygons with similar outline are determined as the users with similar favor.
In another embodiment, the scoring results of the products of the types forming the user portrait may be stored in different arrays, and the user corresponding to the user portrait with the variance smaller than the preset threshold may be determined as a user with a similar preference by calculating the variance between the scoring results of the products of the types of different users.
In this embodiment, users with similar preferences can be found out by the outline of the polygon or calculating the difference of each score, so that the same message is pushed to the users with similar preferences, and the value of pushing the message is increased.
Besides, the embodiment of the application also provides a message pushing device. Referring to fig. 3, fig. 3 is a schematic structural diagram of a message pushing apparatus according to an embodiment of the present application. The message pushing device 300 comprises:
an obtaining module 302, configured to obtain user behavior data of a first user terminal;
a construction module 304 for constructing a first user representation based on the user behavior data;
a pushing module 306, configured to push a target push message to the first user terminal, where the target push message is a message pushed to a second user terminal corresponding to the second user portrait; the second user representation is matched to the first user representation.
Optionally, the obtaining module 302 includes:
the first obtaining submodule is used for obtaining user behavior data of the first user terminal through a preset data buried point, and the preset data buried point obtains the user behavior data based on at least one of the following items: click events, time period events, and sharing events;
the click event is obtained based on click operation of a user on a product page, the time period event is obtained based on browsing duration of the user on the product page, the sharing event is obtained based on sharing operation of the user on the product page, and different types of product pages correspond to different types of products.
Optionally, the building module 304 comprises:
the second obtaining submodule is used for obtaining first data, second data and third data corresponding to different types of products based on user behavior data, wherein the first data are determined and obtained based on click events, the second data are determined and obtained based on time period events, and the third data are determined and obtained based on sharing events;
the first determining submodule is used for determining grading results of different types of products according to the first data, the second data and the third data, and the grading results are used for representing the interest degree of a user in the products;
and the construction submodule is used for constructing the first user portrait according to the grading result.
Optionally, the message pushing apparatus 300 further includes:
and the determining module is used for determining a second user portrait matched with the first user portrait according to the grading result of each type of product in the first user portrait.
Optionally, the determining module includes:
the second determining submodule is used for determining a second user portrait matched with the first user portrait according to the outline edge of the polygon corresponding to the first user portrait under the condition that the user portrait is represented by a polygon, wherein the number of vertexes in the polygon corresponding to the first user portrait corresponds to the type of a product one by one, and the distance from each vertex to a preset origin is in direct proportion to the scoring result of the product of the type corresponding to the vertex; or,
and the third determining submodule is used for calculating the variance between the scoring results of the products of all types in the first user portrait and the scoring results of the products of all types in the candidate user portrait, and determining the candidate user portrait with the variance smaller than a preset threshold value as the second user portrait, wherein the candidate user portrait is constructed on the basis of the user behavior data of the candidate user terminal.
It should be noted that the message pushing apparatus 300 can implement the steps in the above-mentioned embodiments of the message pushing method, and can achieve the same technical effect, which is not described in detail herein.
Besides, the embodiment of the application also provides the electronic equipment. Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device provided in the embodiment of the present application. The electronic device includes: comprises a processor 411, a communication interface 412, a memory 413 and a communication bus 414, wherein the processor 411, the communication interface 412 and the memory 413 are communicated with each other through the communication bus 414,
a memory 413 for storing a computer program;
in an embodiment of the present application, when the processor 411 is configured to execute a program stored in the memory 413, the message pushing method provided in any one of the foregoing method embodiments is implemented, including:
acquiring user behavior data of a first user terminal;
constructing a first user representation based on the user behavior data;
pushing a target push message to the first user terminal, wherein the target push message is a message pushed to a second user terminal corresponding to the second user portrait; the second user representation is matched to the first user representation.
In addition, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the steps of the message pushing method provided in any one of the foregoing method embodiments.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A message pushing method, the method comprising:
acquiring user behavior data of a first user terminal;
constructing a first user representation based on the user behavior data;
pushing a target push message to the first user terminal, wherein the target push message is a message pushed to a second user terminal corresponding to a second user portrait; the second user representation is matched to the first user representation.
2. The method of claim 1, wherein the obtaining user behavior data of the first user terminal comprises:
the method comprises the steps of obtaining user behavior data of a first user terminal through a preset data buried point, wherein the preset data buried point obtains the user behavior data based on at least one of the following items: click events, time period events, and sharing events;
the click event is obtained based on click operation of a user on a product page, the time period event is obtained based on browsing duration of the user on the product page, the sharing event is obtained based on sharing operation of the user on the product page, and different types of product pages correspond to different types of products.
3. The method of claim 2, wherein constructing a first user representation based on the user behavior data comprises:
acquiring first data, second data and third data corresponding to different types of products based on the user behavior data, wherein the first data is determined based on the click event, the second data is determined based on the time period event, and the third data is determined based on the sharing event;
determining grading results of different types of products according to the first data, the second data and the third data, wherein the grading results are used for representing the interest degree of the user in the products;
and constructing the first user portrait according to the grading result.
4. The method of claim 3, wherein prior to the pushing the targeted push message to the first user terminal, the method further comprises:
and determining a second user portrait matched with the first user portrait according to the grading result of each type of product in the first user portrait.
5. The method of claim 4, wherein determining a second user representation that matches the first user representation based on scoring of types of products in the first user representation comprises:
under the condition that the user portrait is represented by a polygon, determining a second user portrait matched with the first user portrait according to the outline edge of the polygon corresponding to the first user portrait, wherein the number of vertexes in the polygon corresponding to the first user portrait is in one-to-one correspondence with the types of the products, and the distance from each vertex to a preset origin is in direct proportion to the scoring result of the product of the type corresponding to the vertex; or,
calculating the variance between the scoring results of the products of all types in the first user portrait and the scoring results of the products of all types in the candidate user portrait, and determining the candidate user portrait with the variance smaller than a preset threshold value as the second user portrait, wherein the candidate user portrait is constructed based on user behavior data of a candidate user terminal.
6. A message push apparatus, the apparatus comprising:
the acquisition module is used for acquiring user behavior data of the first user terminal;
a construction module for constructing a first user representation based on the user behavior data;
the pushing module is used for pushing a target pushing message to the first user terminal, wherein the target pushing message is a message pushed to a second user terminal corresponding to a second user portrait; the second user representation is matched to the first user representation.
7. The apparatus of claim 6, wherein the obtaining module comprises:
the first obtaining submodule is used for obtaining user behavior data of the first user terminal through a preset data buried point, and the preset data buried point obtains the user behavior data based on at least one of the following items: click events, time period events, and sharing events;
the click event is obtained based on click operation of a user on a product page, the time period event is obtained based on browsing duration of the user on the product page, the sharing event is obtained based on sharing operation of the user on the product page, and different types of product pages correspond to different types of products.
8. The apparatus of claim 7, wherein the building module comprises:
the second obtaining sub-module is used for obtaining first data, second data and third data corresponding to different types of products based on the user behavior data, wherein the first data are determined and obtained based on the click event, the second data are determined and obtained based on the time period event, and the third data are determined and obtained based on the sharing event;
the first determining sub-module is used for determining grading results of different types of products according to the first data, the second data and the third data, and the grading results are used for representing the interest degree of a user in the products;
and the construction submodule is used for constructing the first user portrait according to the grading result.
9. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the message push method according to any one of claims 1 to 5 when executing a program stored in a memory.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the message push method according to any one of claims 1 to 5.
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| CN202111032439.9A CN113781166B (en) | 2021-09-03 | Message pushing method and device, electronic equipment and storage medium |
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