CN113939814A

CN113939814A - Content push method and related product

Info

Publication number: CN113939814A
Application number: CN201980097349.2A
Authority: CN
Inventors: 郭子亮
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd; Shenzhen Huantai Technology Co Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd; Shenzhen Huantai Technology Co Ltd
Priority date: 2019-07-09
Filing date: 2019-07-09
Publication date: 2022-01-14
Also published as: WO2021003673A1

Abstract

The embodiment of the application discloses a content pushing method and a related product, wherein the method comprises the following steps: the method comprises the steps of obtaining a plurality of application data by obtaining a plurality of user IDs of a target object and application data corresponding to each user ID in the plurality of user IDs, establishing a mapping relation between the plurality of user IDs and a natural person ID of the target object according to the plurality of application data, establishing a target user portrait of the target object according to the plurality of application data, carrying out content push on the target object according to the mapping relation and the target user portrait, establishing a comprehensive target user portrait according to the plurality of application data of the plurality of applications, and carrying out content push on a user according to the user portrait, so that the content push can be carried out more accurately and intelligently.

Description

Content push method and related product

Technical Field

The present application relates to the field of communications technologies, and in particular, to a content push method and a related product.

Background

At present, in the prior art, content push is performed according to a single application, specifically, a behavior habit of a user on the application is determined according to application data of the user on the single application, and content push is performed for the application, so that content pushed to the user is not accurate enough. Or, content push is performed indiscriminately for many applications of a user, which may cause message duplication, user annoyance, and resource waste, and therefore, how to perform content push for the user more accurately and intelligently is urgently needed to be solved.

Disclosure of Invention

The embodiment of the application provides a content pushing method and a related product, which can construct a comprehensive target user portrait according to a plurality of application data of a plurality of applications, and can push content to a user according to the user portrait, so that the content can be pushed more accurately.

In a first aspect, an embodiment of the present application provides a content pushing method, where the method includes:

acquiring a plurality of user IDs of a target object and application data corresponding to each user ID in the user IDs to obtain a plurality of application data, wherein each user ID corresponds to one application;

establishing a mapping relation between the user IDs and the natural person ID of the target object according to the application data;

constructing a target user representation of the target object from the plurality of application data;

and pushing content for the target object according to the mapping relation and the target user portrait.

In a second aspect, an embodiment of the present application provides a content pushing apparatus, where the content pushing apparatus includes:

the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a plurality of user IDs of a target object and application data corresponding to each user ID in the user IDs to obtain a plurality of application data, and each user ID corresponds to one application;

the establishing unit is used for establishing a mapping relation between the user IDs and the natural person ID of the target object according to the application data;

the establishing unit is further used for establishing a target user portrait of the target object according to the plurality of application data;

and the pushing unit is used for pushing the content of the target object according to the mapping relation and the target user portrait.

In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.

In a fifth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.

Drawings

Reference will now be made in brief to the drawings that are needed in describing embodiments or prior art.

In order to more clearly illustrate the embodiments of the present application 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, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;

fig. 1B is a schematic flowchart of a content pushing method provided in an embodiment of the present application;

fig. 2 is a schematic flow chart of another content push method disclosed in the embodiments of the present application;

fig. 3 is a schematic flow chart of another content push method disclosed in the embodiments of the present application;

fig. 4 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present application;

fig. 5 is a schematic structural diagram of a content push apparatus disclosed in an embodiment of the present application.

Detailed Description

In order to make the technical solutions of the present application better understood, 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 only a part of the embodiments of the present application, and not all of the 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.

The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The electronic devices involved in the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem with wireless communication functions, as well as various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), servers, and so on. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices. The following describes embodiments of the present application in detail.

Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application, and the electronic device 100 may include a control circuit, which may include a storage and processing circuit 110. The storage and processing circuitry 110 may be a memory, such as a hard drive memory, a non-volatile memory (e.g., flash memory or other electronically programmable read-only memory used to form a solid state drive, etc.), a volatile memory (e.g., static or dynamic random access memory, etc.), etc., and the embodiments of the present application are not limited thereto. Processing circuitry in storage and processing circuitry 110 may be used to control the operation of electronic device 100. The processing circuit may be implemented based on one or more microprocessors, microcontrollers, digital master-slave headphone switch controllers, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, and the like.

The storage and processing circuitry 110 may be used to run software in the electronic device 100, such as an internet browsing application, a Voice Over Internet Protocol (VOIP) telephone call application, an email application, a media playing application, operating system functions, and so forth. Such software may be used to perform control operations such as, for example, camera-based image capture, ambient light measurement based on an ambient light sensor, proximity sensor measurement based on a proximity sensor, information display functionality based on status indicators such as status indicator lights of light emitting diodes, touch event detection based on a touch sensor, functionality associated with displaying information on multiple (e.g., layered) displays, operations associated with performing wireless communication functions, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in the electronic device 100, and the like, without limitation.

The electronic device 100 may also include input-output circuitry 150. The input-output circuit 150 may be used to enable the electronic device 100 to input and output data, i.e., to allow the electronic device 100 to receive data from an external device and also to allow the electronic device 100 to output data from the electronic device 100 to the external device. The input-output circuit 150 may further include a sensor 170. The sensors 170 may include ambient light sensors, proximity sensors based on light and capacitance, touch sensors (e.g., based on optical touch sensors and/or capacitive touch sensors, where the touch sensors may be part of a touch display screen or used independently as a touch sensor structure), acceleration sensors, gravity sensors, and other sensors, among others.

Input-output circuitry 150 may also include one or more displays, such as display 130. Display 130 may include one or a combination of liquid crystal displays, organic light emitting diode displays, electronic ink displays, plasma displays, displays using other display technologies. Display 130 may include an array of touch sensors (i.e., display 130 may be a touch display screen). The touch sensor may be a capacitive touch sensor formed by a transparent touch sensor electrode (e.g., an Indium Tin Oxide (ITO) electrode) array, or may be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, and the like, and the embodiments of the present application are not limited thereto.

The audio component 140 may be used to provide audio input and output functionality for the electronic device 100. The audio components 140 in the electronic device 100 may include a speaker, a microphone, a buzzer, a tone generator, and other components for generating and detecting sound.

The communication circuit 120 may be used to provide the electronic device 100 with the capability to communicate with external devices. The communication circuit 120 may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals. The wireless communication circuitry in communication circuitry 120 may include radio-frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless communication circuitry in communication circuitry 120 may include circuitry to support Near Field Communication (NFC) by transmitting and receiving near field coupled electromagnetic signals. For example, the communication circuit 120 may include a near field communication antenna and a near field communication transceiver. The communications circuitry 120 may also include a cellular telephone transceiver and antenna, a wireless local area network transceiver circuitry and antenna, and so forth.

The electronic device 100 may further include a battery, power management circuitry, and other input-output units 160. The input-output unit 160 may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes and other status indicators, and the like.

A user may input commands through input-output circuitry 150 to control the operation of electronic device 100, and may use output data of input-output circuitry 150 to enable receipt of status information and other outputs from electronic device 100.

Referring to fig. 1B, fig. 1B is a schematic flow chart of a content push method according to an embodiment of the present disclosure, where the content push method described in the embodiment includes:

101. the method comprises the steps of obtaining a plurality of user IDs of a target object and application data corresponding to each user ID in the user IDs to obtain the application data, wherein each user ID corresponds to one application.

Wherein the target object may be a user. The user ID is an application account registered when the target object uses the application, or unique identification information for identifying the device identity. The user ID may be at least one of: a phone number, an Integrated Circuit Card Identity (ICCID), an International Mobile Equipment Identity (IMEI), a Single Sign On ID (SSOID), an ID of a third party application, an OppenId, and the like, which are not limited herein.

The user IDs correspond to a plurality of applications installed on the electronic device, and the applications may include at least one of the following applications: a browser application, a payment application, a chat application, a mail application, a riding application, a navigation application, a reading application, a video playback application, a music playback application, a learning application, such as an english learning application, a professional exam learning application, a shopping application, a fitness application, a courier application, a work application, and the like, without limitation. Generally, a user may install a plurality of different applications of the same type at the same time in an electronic device, for example, a WeChat application and a QQ application may be installed at the same time in the electronic device, and for example, two different video applications may be installed at the same time in the electronic device, and so on.

In the embodiment of the present application, when a user uses an application, application data may be generated, so that application data corresponding to each user ID in a plurality of user IDs of a target object may be obtained to obtain a plurality of application data, a preset database of an electronic device may store application data of different applications, each application data corresponds to one user ID, where the application data may include at least one of the following: identity information registered when the user uses the application, a record of the time the user used the application, a record of the location, a record of browsing, a record of operations, and the like. For example, the application data corresponding to the payment application may include identity information registered by the user, payment time corresponding to the payment operation, payment items, payment amount, payment object, and the like, and in some applications, the payment items may be classified, for example, the payment items purchased in a supermarket are classified into a life payment class, so that more detailed application data may be obtained for the payment application. Similarly, for other applications of the electronic device, application data of each application may also be acquired, which is not described herein again.

102. And establishing a mapping relation between the plurality of user IDs and the natural person ID of the target object according to the plurality of application data.

The natural person ID refers to an identity account corresponding to the target object, and the natural person ID of the target object can be used for identifying the target object.

In the embodiment of the application, a plurality of user IDs may be connected with the natural person ID of the target object, so that the natural person ID may be determined according to any one of the plurality of user IDs of the target object, or any one of the plurality of user IDs may be determined according to the natural person ID, or other user IDs corresponding to the target object may be determined according to any one of the plurality of user IDs.

Optionally, in step 102, the step of establishing a mapping relationship between the plurality of user IDs and the natural person ID of the target object according to the plurality of application data may include the following steps:

21. performing feature extraction on each application data in the plurality of application data to obtain a plurality of feature sets, wherein the plurality of feature sets correspond to the plurality of user IDs one by one;

22. determining a weight corresponding to each user ID in the plurality of user IDs according to the plurality of feature sets to obtain a plurality of weights;

23. determining a reference distance value corresponding to each weight value in the plurality of weight values according to a corresponding relation between preset weight values and distance values to obtain a plurality of reference distance values;

24. and connecting the corresponding user ID with the natural person ID of the target object according to each reference distance value in the plurality of reference distance values to obtain the mapping relation.

The feature extraction can be performed on the application data corresponding to each application ID to obtain a feature set corresponding to the application, so that a plurality of feature sets corresponding to a plurality of application data can be extracted. Then, determining a weight corresponding to each user ID in the plurality of user IDs according to the plurality of feature sets, determining a reference distance value corresponding to each weight in the plurality of weights according to a preset correspondence between the weights and the distance values to obtain a plurality of reference distance values, wherein each reference distance value is a distance when the corresponding user ID is connected with the natural person ID, and further, connecting the corresponding user ID with the natural person ID of the target object according to each reference distance value in the plurality of reference distance values to obtain a mapping relationship. Wherein, the smaller the reference distance value is, the greater the degree of association between the corresponding user ID and the natural person ID is.

Optionally, in the step 22, determining a weight corresponding to each of the plurality of user IDs according to the plurality of feature sets to obtain a plurality of weights, which may include the following steps:

a1, determining the same feature quantity of the same features existing between each feature set in the multiple feature sets and each feature set in other feature sets in the multiple feature sets respectively to obtain multiple same feature quantity sets, wherein the multiple same feature quantity sets are in one-to-one correspondence with the multiple feature sets, and each same feature quantity set in the multiple same feature quantity sets comprises multiple same feature quantities;

a2, determining the quantity sum of a plurality of same feature quantities included in each same feature quantity set in the plurality of same feature quantity sets to obtain a plurality of quantity sums;

and A3, obtaining a plurality of weight values according to the plurality of numbers and the weight values respectively corresponding to the plurality of user IDs.

The method includes the steps of determining the number of the same features between a feature set and a plurality of other feature sets for each feature set in the plurality of feature sets, specifically, determining the first number of the same features between the first feature set and a second feature set and the second number of the same features between the first feature set and a third feature set for a first feature set, so that the same feature number set formed by the same feature numbers can be obtained, then determining the number sum of the same feature numbers included in the same feature number set, so that the number sum corresponding to the feature sets can be determined, and finally, determining the weight values corresponding to the user IDs according to the number sum to obtain the weight values, wherein the sum of the weight values is 1.

103. Constructing a target user representation of the target object from the plurality of application data.

In the embodiment of the application, the target user portrait of the target object can be constructed according to a plurality of application data, so that a relatively comprehensive target user portrait can be obtained. Specifically, each of the plurality of application data may be classified to obtain a plurality of types of data, and each of the plurality of types of data may be integrated to remove some unnecessary data, wherein a clustering algorithm or another classification algorithm may be used to process the integrated plurality of types of data, and the clustering algorithm may include at least one of the following: a neighborhood (K-Nearest Neighbor, KNN) algorithm, a mean (K-means) algorithm, a Density-Based Clustering of Applications with Noise, DBscan, and the like. And finally, generating a target user portrait of the target object according to the integrated data of the plurality of types.

Optionally, in step 103, constructing the target user representation of the target object according to the plurality of application data may include the following steps 31 to 33:

31. determining a user image set according to each application data in the plurality of application data to obtain a plurality of user image sets, wherein each user image set comprises a plurality of reference user figures with a plurality of dimensions, and each reference user figure in the plurality of reference user figures comprises a plurality of labels;

32. determining target tags, the occurrence frequency of which exceeds a preset frequency, in a plurality of reference user portraits corresponding to each dimension of the plurality of dimensions to obtain a plurality of target tag sets, wherein the plurality of dimensions correspond to the plurality of target tag sets one by one;

33. and constructing a target user representation of the target object according to the plurality of target label sets.

The type data of the identity dimension refers to data about identity attributes of the target object, such as name, nickname, gender, age, occupation, and the like, the type data of the track dimension includes a time track and a position track, the time track may be a time track of the target object using one user ID, the position track may be a position track of the target object using one user ID, and the type data of the behavior dimension refers to data about caretaking of the target object on the corresponding application using the user ID. For example, the target object has searched for a game attack on a browser application, the target object has downloaded a game APP at a software store, the target object has viewed a live game on a video application, and so on. Therefore, a plurality of reference user images with multiple dimensions can be generated according to the multiple types of data with multiple dimensions in each application data, a user image set corresponding to the application data is obtained, and each reference user image in the reference user images in each user image set is not the most comprehensive user image of the target object. Wherein, each application data may include at least one of the following images for reference: a reference user portrait corresponding to the identity dimension, a reference user portrait corresponding to the trajectory dimension, and a reference user portrait corresponding to the behavior dimension, each reference user portrait including a plurality of tags.

Further, a target tag with a frequency exceeding a preset frequency in a plurality of reference user portraits corresponding to each dimension in the plurality of dimensions can be determined, and a plurality of target tag sets are obtained. Specifically, the reference user images corresponding to the different user IDs of the reference user images corresponding to each of the dimensions are counted, so that the frequency of occurrence of each tag in the reference user images can be counted, wherein the frequency of occurrence is a ratio of the number of occurrences of the corresponding tag to the total number of occurrences of all tags. Furthermore, the target tags with the occurrence frequency exceeding the preset frequency in the multiple reference user images corresponding to each dimension can be determined, and the target tag set corresponding to the dimension is obtained, so that the multiple target tag sets corresponding to the multiple dimensions can be determined. Finally, a target user representation of the target object may be constructed from the plurality of target tag sets.

Optionally, in step 33, constructing the target user representation corresponding to the target according to the plurality of target tag sets may include the following steps:

b1, determining a target distance value corresponding to each target label in the plurality of target label sets according to a preset corresponding relationship between occurrence frequency and distance values to obtain a plurality of target distance values;

b2, connecting each target label in the target label sets with the natural person ID according to the target distance values to obtain the target user portrait.

The electronic equipment can preset the corresponding relation between the appearance frequency and the distance value, and further can determine the target distance value corresponding to each target label in the plurality of target label sets according to the preset corresponding relation between the appearance frequency and the distance value to obtain the plurality of target distance values, so that each target label in the plurality of target label sets can be connected with the natural person ID according to the plurality of target distance values to obtain the target user portrait. The target distance value may reflect a degree of association between the corresponding target tag and the target object, and the smaller the target distance value, the greater the degree of association between the corresponding target tag and the target object.

104. And pushing content for the target object according to the mapping relation and the target user portrait.

In the embodiment of the present application, the mapping relationship reflects the association relationship between the natural person ID of the target object and the plurality of user IDs, so that at least one application can be determined based on the natural person ID and the mapping relationship when content is pushed, and when the user ID of the target object is changed, the mapping relationship is also changed, so that the change of the plurality of user IDs of the target object can be reflected by the mapping relationship, rather than the change of one user ID being reflected in isolation. For example, when the target object searches for a game strategy on the browser application, the game APP is downloaded in a software store, the live game is watched on the video application, which indicates that the target object pays more attention to the game, and then the target object can be pushed according to the mapping relationship and the target user images reflected by the plurality of applications.

Optionally, in the step 104, performing content push on the target object according to the mapping relationship and the target user representation may include the following steps:

41. determining target content pushed to the target object according to the target user portrait;

the target user portrait may include a plurality of target tags, and target content related to the target tags may be determined according to the plurality of target tags, for example, if the target tags are electronically controlled, content related to electronic products may be pushed to the target objects, so that content pushing may be performed on the target objects in a personalized manner.

Optionally, the step 41 of determining the target content to be pushed to the target object according to the target user image may include the following steps:

c1, determining a first similarity between the target object and the corresponding associated object according to the at least one identity tag and at least one associated identity tag included in each associated user portrait in a plurality of associated user portraits corresponding to a plurality of associated objects, obtaining a plurality of first similarities;

c2, determining at least one target first similarity exceeding a first preset threshold in the plurality of first similarities;

and C3, determining that the content concerned by the at least one associated object corresponding to the at least one target first similarity is the target content pushed to the target object.

In an embodiment of the application, at least one associated object of the target object may be determined according to at least one identity tag, and in particular, a preset database of the electronic device may store a plurality of associated user portraits corresponding to the plurality of associated objects in advance, so that a first similarity between the target object and the corresponding associated object may be determined. Specifically, the number of the same tags of the same tag included in at least one identity tag and at least one associated identity tag may be determined, and then, the first similarity corresponding to the number of the same tag may be determined according to a preset correspondence between the number of the same tags and the similarity. Thus, a plurality of first similarities corresponding to the plurality of associated user images may be determined. Furthermore, at least one target first similarity exceeding a first preset threshold in the plurality of first similarities can be determined, and finally, the content concerned by at least one associated object corresponding to the at least one target first similarity is determined to be the target content pushed to the target object, so that the content concerned by the associated object can be pushed to the target object, and the target content can be pushed to a plurality of associated users in batch.

Optionally, in step 41, determining the target content to be pushed to the target object according to the target user image may include the following steps:

c4, determining a second similarity between the target user image and each historical user image in a plurality of historical user images corresponding to the target object to obtain a plurality of second similarities;

c5, determining at least one target second similarity exceeding a second preset threshold in the plurality of second similarities;

and C6, determining the content corresponding to the at least one target historical user portrait object corresponding to the at least one target second similarity as the target content pushed to the target object.

In the embodiment of the application, a preset database of the electronic device may store a plurality of historical user figures of a target object in advance, further, a second similarity between the target user figure and each historical user figure in the plurality of historical user figures may be determined, a plurality of second similarities may be obtained, further, at least one target second similarity exceeding a first preset threshold value in the plurality of second similarities may be determined, and finally, a content corresponding to the target historical user figure object corresponding to the at least one target second similarity is determined to be a target content pushed to the target object, so that a new content similar to a historically liked or concerned content may be pushed to the target object.

42. Determining at least one target application according to the mapping relation and the natural person ID;

when the content is pushed to the target object, the target content can be determined to be pushed to at least one target application of the target object according to the natural person ID of the target object and the mapping relation, and specifically, at least one target application with the smallest distance to the natural person ID in the mapping relation is determined.

43. And pushing the target content to at least one target application of the target object.

The target content is pushed to at least one target application of the target object, the target content can be pushed to at least one target application at the same time, and the target content can also be pushed to different target applications at different time.

Optionally, the target user representation further includes at least one track tag corresponding to a track dimension, where the track dimension includes at least one of a time dimension and a position dimension, and in step 43, pushing the target content to at least one target application of the target object may include the following steps:

d1, determining a target time and a target position for pushing the target content to each application of the at least one target application according to the at least one track tag, and obtaining at least one group of target time and target position;

d2, pushing the target content to the corresponding application at the target time and the target position corresponding to each application in the at least one target application.

In this embodiment of the application, a target time and a target position for pushing target content to each application in at least one target application may be determined according to at least one track tag, to obtain at least one set of the target time and the target position, and then, the target content is pushed to the corresponding application at the target time and the target position corresponding to each application in the at least one target application, specifically, for each target application, the target content may be pushed to the target application at the target time and the target position corresponding to the target application. For example, the target object uses a joy game application, searches for game keywords on the browser frequently, and the target object uses the application for the highest online duration at 20 o 'clock to 22 o' clock in the evening, and the location trajectory is essentially at home on the weekend. It is indicated that the target object is a game fan and is relatively home on weekends, so a playful game can be recommended to the target object at 8 pm on weekends. Therefore, the resource waste can be reduced, and the target content can be pushed to the target object more accurately.

It can be seen that, in the content push method described in the embodiment of the present application, a plurality of application data are obtained by obtaining a plurality of user IDs of a target object and application data corresponding to each of the plurality of user IDs, a mapping relationship between the plurality of user IDs and a natural person ID of the target object is established according to the plurality of application data, a target user portrait of the target object is established according to the plurality of application data, content push is performed on the target object according to the mapping relationship and the target user portrait, a comprehensive target user portrait can be established according to the plurality of application data of the plurality of applications, and content push is performed on a user according to the user portrait, so that content push can be performed more accurately and intelligently.

In accordance with the above, please refer to fig. 2, where fig. 2 is a schematic flow chart of another content pushing method provided in the embodiment of the present application, and the content pushing method described in the embodiment is applied to an electronic device, and the method may include the following steps:

201. the method comprises the steps of obtaining a plurality of user IDs of a target object and application data corresponding to each user ID in the user IDs to obtain the application data, wherein each user ID corresponds to one application.

202. And establishing a mapping relation between the plurality of user IDs and the natural person ID of the target object according to the plurality of application data.

203. Determining a user image set according to each application data in the plurality of application data to obtain a plurality of user image sets, wherein each user image set comprises a plurality of reference user figures with a plurality of dimensions, and each reference user figure in the plurality of reference user figures comprises a plurality of labels.

204. And determining target tags with the occurrence frequency exceeding a preset frequency in the multiple reference user portraits corresponding to each dimension of the multiple dimensions to obtain multiple target tag sets, wherein the multiple dimensions correspond to the multiple target tag sets one by one.

205. And constructing a target user representation of the target object according to the plurality of target label sets.

206. And pushing content for the target object according to the mapping relation and the target user portrait.

The specific implementation process of the steps 201-206 can refer to the corresponding description in the method shown in fig. 1B, and will not be described herein again.

It can be seen that, in the content push method described in the embodiment of the present application, a plurality of application data are obtained by obtaining a plurality of user IDs of a target object and application data corresponding to each of the plurality of user IDs, a mapping relationship between the plurality of user IDs and a natural person ID of the target object is established according to the plurality of application data, a target user portrait of the target object is established according to the plurality of application data, and content push is performed on the target object according to the mapping relationship and the target user portrait.

In accordance with the above, please refer to fig. 3, which is a schematic flow chart of another content push method according to an embodiment of the present application, where the content push method described in the embodiment may include the following steps:

301. the method comprises the steps of obtaining a plurality of user IDs of a target object and application data corresponding to each user ID in the user IDs to obtain the application data, wherein each user ID corresponds to one application.

302. And establishing a mapping relation between the plurality of user IDs and the natural person ID of the target object according to the plurality of application data.

303. Determining a user image set according to each application data in the plurality of application data to obtain a plurality of user image sets, wherein each user image set comprises a plurality of reference user figures with a plurality of dimensions, and each reference user figure in the plurality of reference user figures comprises a plurality of labels.

304. And determining target tags with the occurrence frequency exceeding a preset frequency in the multiple reference user portraits corresponding to each dimension of the multiple dimensions to obtain multiple target tag sets, wherein the multiple dimensions correspond to the multiple target tag sets one by one.

305. And constructing a target user representation of the target object according to the plurality of target label sets.

306. And determining target content pushed to the target object according to the target user portrait.

307. And determining at least one target application according to the mapping relation and the natural person ID.

308. And pushing the target content to at least one target application of the target object.

The specific implementation process of the steps 301-308 can refer to the corresponding description in the method shown in fig. 1B, and is not described herein again.

The content pushing method described in the embodiment of the application obtains a plurality of application data by obtaining a plurality of user IDs of a target object and application data corresponding to each user ID of the plurality of user IDs, establishes a mapping relation between the plurality of user IDs and a natural person ID of the target object according to the plurality of application data, constructs a target user portrait of the target object according to the plurality of application data, determines target content to be pushed to the target object according to the target user portrait, determines at least one target application according to the mapping relation and the natural person ID, and pushes the target content to the at least one target application of the target object.

In accordance with the above, please refer to fig. 4, in which fig. 4 is an electronic device 400 according to an embodiment of the present disclosure, including: a processor 410, a memory 420, a communication interface 430, and one or more programs 421, the one or more programs 421 stored in the memory 420 and configured to be executed by the processor 410, the programs comprising instructions for:

In one possible example, in said establishing a mapping between said plurality of user IDs and a natural person ID of said target object from said plurality of application data, said program 421 comprises instructions for:

performing feature extraction on each application data in the plurality of application data to obtain a plurality of feature sets, wherein the plurality of feature sets correspond to the plurality of user IDs one by one;

determining a weight corresponding to each user ID in the plurality of user IDs according to the plurality of feature sets to obtain a plurality of weights;

determining a reference distance value corresponding to each weight value in the plurality of weight values according to a corresponding relation between preset weight values and distance values to obtain a plurality of reference distance values;

and connecting the corresponding user ID with the natural person ID of the target object according to each reference distance value in the plurality of reference distance values to obtain the mapping relation.

In one possible example, in the determining a weight value corresponding to each of the plurality of user IDs according to the plurality of feature sets to obtain a plurality of weight values, the program 421 includes instructions for:

determining the same feature quantity of the same features existing between each feature set in the plurality of feature sets and each feature set in other feature sets in the plurality of feature sets respectively to obtain a plurality of same feature quantity sets, wherein the plurality of same feature quantity sets are in one-to-one correspondence with the plurality of feature sets, and each same feature quantity set in the plurality of same feature quantity sets comprises a plurality of same feature quantities;

determining the quantity sum of a plurality of same feature quantities included in each same feature quantity set in the plurality of same feature quantity sets to obtain a plurality of quantity sums;

and obtaining a plurality of weight values according to the plurality of numbers and the weight values respectively corresponding to the plurality of user IDs.

In one possible example, in connection with said constructing a target user representation of said target object from said plurality of application data, said program 421 includes instructions for:

determining a user image set according to each application data in the plurality of application data to obtain a plurality of user image sets, wherein each user image set comprises a plurality of reference user figures with a plurality of dimensions, and each reference user figure in the plurality of reference user figures comprises a plurality of labels;

determining target tags, the occurrence frequency of which exceeds a preset frequency, in a plurality of reference user portraits corresponding to each dimension of the plurality of dimensions to obtain a plurality of target tag sets, wherein the plurality of dimensions correspond to the plurality of target tag sets one by one;

and constructing a target user representation of the target object according to the plurality of target label sets.

In one possible example, in constructing a target user representation to which the target corresponds from the plurality of target tag sets, the program 421 includes instructions for:

determining a target distance value corresponding to each target label in the plurality of target label sets according to a preset corresponding relation between the occurrence frequency and the distance value to obtain a plurality of target distance values;

and connecting each target tag in the plurality of target tag sets with the natural person ID according to the plurality of target distance values to obtain the target user portrait.

In one possible example, in connection with the content push for the target object according to the mapping relationship and the target user representation, the program 421 includes instructions for:

determining target content pushed to the target object according to the target user portrait;

determining at least one target application according to the mapping relation and the natural person ID;

and pushing the target content to at least one target application of the target object.

In one possible example, the target user representation includes at least one identity tag corresponding to an identity information dimension, and in the aspect of determining the target content to be pushed to the target object according to the target user representation, the program 421 includes instructions for:

determining a first similarity between the target object and a corresponding associated object according to the at least one identity tag and at least one associated identity tag included in each associated user portrait in a plurality of associated user portraits corresponding to the plurality of associated objects to obtain a plurality of first similarities;

determining at least one target first similarity exceeding a first preset threshold in the plurality of first similarities;

and determining the content concerned by the at least one associated object corresponding to the at least one target first similarity as the target content pushed to the target object.

In one possible example, in connection with the determining target content to push to the target object from the target user representation, the program 421 includes instructions for:

determining a second similarity between the target user image and each historical user image in a plurality of historical user images corresponding to the target object to obtain a plurality of second similarities;

determining at least one target second similarity of the plurality of second similarities, which exceeds a second preset threshold;

and determining the content corresponding to the at least one target historical user portrait object corresponding to the at least one target second similarity as the target content pushed to the target object.

In one possible example, the target user representation further includes at least one track tag corresponding to a track dimension, where the track dimension includes at least one of a time dimension and a location dimension, the program 421 includes instructions for:

determining target time and target position for pushing the target content to each application in the at least one target application according to the at least one track tag to obtain at least one group of target time and target position;

and pushing the target content to the corresponding application at the target time and the target position corresponding to each application in the at least one target application.

Referring to fig. 5, fig. 5 is a schematic structural diagram of a content push device according to the present embodiment. The content push apparatus is applied to the electronic device shown in fig. 1A, and comprises an acquisition unit 501, a creation unit 502 and a push unit 503, wherein,

the obtaining unit 501 is configured to obtain a plurality of user IDs of a target object and application data corresponding to each of the user IDs to obtain a plurality of application data, where each of the user IDs corresponds to one application;

the establishing unit 502 is configured to establish a mapping relationship between the plurality of user IDs and the natural person ID of the target object according to the plurality of application data;

the establishing unit 502 is further configured to construct a target user representation of the target object according to the plurality of application data;

the pushing unit 503 is configured to perform content pushing on the target object according to the mapping relationship and the target user representation.

Optionally, in the aspect of establishing the mapping relationship between the multiple user IDs and the natural person ID of the target object according to the multiple application data, the establishing unit 502 is specifically configured to:

Optionally, in the aspect that the weight corresponding to each of the user IDs is determined according to the feature sets to obtain multiple weights, the establishing unit 502 is specifically configured to:

Optionally, in the aspect of constructing the target user representation of the target object according to the plurality of application data, the establishing unit 502 is specifically configured to:

Optionally, in regard to constructing the target user representation corresponding to the target according to the plurality of target tag sets, the establishing unit 502 is specifically configured to:

Optionally, in terms of the content pushing for the target object according to the mapping relationship and the target user representation, the pushing unit 503 is specifically configured to:

Optionally, the target user image includes at least one identity tag corresponding to an identity information dimension, and the push unit 503 is specifically configured to, in the aspect of determining the target content pushed to the target object according to the target user image:

Optionally, in the aspect of determining the target content pushed to the target object according to the target user representation, the pushing unit 503 is specifically configured to:

Optionally, the target user representation further includes at least one track label corresponding to a track dimension, where the track dimension includes at least one of a time dimension and a position dimension, and the pushing unit 503 is specifically configured to, in the aspect of pushing the target content to at least one target application of the target object:

It can be seen that, the content pushing apparatus described in the embodiment of the present application obtains a plurality of application data by obtaining a plurality of user IDs of a target object and application data corresponding to each of the plurality of user IDs, establishes a mapping relationship between the plurality of user IDs and a natural person ID of the target object according to the plurality of application data, constructs a target user portrait of the target object according to the plurality of application data, and performs content pushing on the target object according to the mapping relationship and the target user portrait, and can construct a comprehensive target user portrait according to the plurality of application data of the plurality of applications and perform content pushing on a user according to the user portrait, thereby performing content pushing more accurately and intelligently.

It can be understood that the functions of each program module of the content push apparatus in this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the related description of the foregoing method embodiment, which is not described herein again.

Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, and the computer program makes a computer execute part or all of the steps of any one of the content push methods described in the above method embodiments.

Embodiments of the present application also provide a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps of any one of the content push methods as described in the above method embodiments.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.

The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.

The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person 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

A method for pushing content, comprising:

acquiring a plurality of user IDs of a target object and application data corresponding to each user ID in the user IDs to obtain a plurality of application data, wherein each user ID corresponds to one application;

establishing a mapping relation between the user IDs and the natural person ID of the target object according to the application data;

constructing a target user representation of the target object from the plurality of application data;

and pushing content for the target object according to the mapping relation and the target user portrait.
The method of claim 1, wherein the establishing a mapping between the plurality of user IDs and the natural person ID of the target object according to the plurality of application data comprises:

performing feature extraction on each application data in the plurality of application data to obtain a plurality of feature sets, wherein the plurality of feature sets correspond to the plurality of user IDs one by one;

determining a weight corresponding to each user ID in the plurality of user IDs according to the plurality of feature sets to obtain a plurality of weights;

determining a reference distance value corresponding to each weight value in the plurality of weight values according to a corresponding relation between preset weight values and distance values to obtain a plurality of reference distance values;

and connecting the corresponding user ID with the natural person ID of the target object according to each reference distance value in the plurality of reference distance values to obtain the mapping relation.
The method according to claim 2, wherein the determining a weight corresponding to each of the plurality of user IDs according to the plurality of feature sets to obtain a plurality of weights comprises:

determining the same feature quantity of the same features existing between each feature set in the plurality of feature sets and each feature set in other feature sets in the plurality of feature sets respectively to obtain a plurality of same feature quantity sets, wherein the plurality of same feature quantity sets are in one-to-one correspondence with the plurality of feature sets, and each same feature quantity set in the plurality of same feature quantity sets comprises a plurality of same feature quantities;

determining the quantity sum of a plurality of same feature quantities included in each same feature quantity set in the plurality of same feature quantity sets to obtain a plurality of quantity sums;

and obtaining a plurality of weight values according to the plurality of numbers and the weight values respectively corresponding to the plurality of user IDs.
The method of any of claims 1-3, wherein constructing a target user representation of the target object from the plurality of application data comprises:

determining a user image set according to each application data in the plurality of application data to obtain a plurality of user image sets, wherein each user image set comprises a plurality of reference user figures with a plurality of dimensions, and each reference user figure in the plurality of reference user figures comprises a plurality of labels;

determining target tags, the occurrence frequency of which exceeds a preset frequency, in a plurality of reference user portraits corresponding to each dimension of the plurality of dimensions to obtain a plurality of target tag sets, wherein the plurality of dimensions correspond to the plurality of target tag sets one by one;

and constructing a target user representation of the target object according to the plurality of target label sets.
The method of claim 4, wherein constructing a target user representation corresponding to the target from the plurality of target tag sets comprises:

determining a target distance value corresponding to each target label in the plurality of target label sets according to a preset corresponding relation between the occurrence frequency and the distance value to obtain a plurality of target distance values;

and connecting each target tag in the plurality of target tag sets with the natural person ID according to the plurality of target distance values to obtain the target user portrait.
The method of any of claims 1-4, wherein said pushing content for said target object according to said mapping relationship and said target user representation comprises:

determining target content pushed to the target object according to the target user portrait;

determining at least one target application according to the mapping relation and the natural person ID;

and pushing the target content to at least one target application of the target object.
The method of claim 6, wherein the target user representation includes at least one identity tag corresponding to an identity information dimension, and wherein determining the target content to be pushed to the target object according to the target user representation includes:

determining a first similarity between the target object and a corresponding associated object according to the at least one identity tag and at least one associated identity tag included in each associated user portrait in a plurality of associated user portraits corresponding to the plurality of associated objects to obtain a plurality of first similarities;

determining at least one target first similarity exceeding a first preset threshold in the plurality of first similarities;

and determining the content concerned by the at least one associated object corresponding to the at least one target first similarity as the target content pushed to the target object.
The method of claim 6, wherein determining the target content to push to the target object based on the target user representation comprises:

determining a second similarity between the target user image and each historical user image in a plurality of historical user images corresponding to the target object to obtain a plurality of second similarities;

determining at least one target second similarity of the plurality of second similarities, which exceeds a second preset threshold;

and determining the content corresponding to the at least one target historical user portrait object corresponding to the at least one target second similarity as the target content pushed to the target object.
The method of any of claims 6-8, wherein the target user representation further comprises at least one track tag corresponding to a track dimension, the track dimension comprising at least one of a time dimension and a location dimension, and wherein pushing the target content to at least one target application of the target object comprises:

determining target time and target position for pushing the target content to each application in the at least one target application according to the at least one track tag to obtain at least one group of target time and target position;

and pushing the target content to the corresponding application at the target time and the target position corresponding to each application in the at least one target application.
A content push apparatus, characterized in that the content push apparatus comprises:

the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a plurality of user IDs of a target object and application data corresponding to each user ID in the user IDs to obtain a plurality of application data, and each user ID corresponds to one application;

the establishing unit is used for establishing a mapping relation between the user IDs and the natural person ID of the target object according to the application data;

the establishing unit is further used for establishing a target user portrait of the target object according to the plurality of application data;

and the pushing unit is used for pushing the content of the target object according to the mapping relation and the target user portrait.
The apparatus according to claim 10, wherein, in said establishing a mapping relationship between the plurality of user IDs and the natural person ID of the target object according to the plurality of application data, the establishing unit is specifically configured to:

performing feature extraction on each application data in the plurality of application data to obtain a plurality of feature sets, wherein the plurality of feature sets correspond to the plurality of user IDs one by one;

determining a weight corresponding to each user ID in the plurality of user IDs according to the plurality of feature sets to obtain a plurality of weights;

determining a reference distance value corresponding to each weight value in the plurality of weight values according to a corresponding relation between preset weight values and distance values to obtain a plurality of reference distance values;

and connecting the corresponding user ID with the natural person ID of the target object according to each reference distance value in the plurality of reference distance values to obtain the mapping relation.
The apparatus according to claim 11, wherein, in the aspect that the weight corresponding to each of the plurality of user IDs is determined according to the plurality of feature sets to obtain a plurality of weights, the establishing unit is specifically configured to:

determining the same feature quantity of the same features existing between each feature set in the plurality of feature sets and each feature set in other feature sets in the plurality of feature sets respectively to obtain a plurality of same feature quantity sets, wherein the plurality of same feature quantity sets are in one-to-one correspondence with the plurality of feature sets, and each same feature quantity set in the plurality of same feature quantity sets comprises a plurality of same feature quantities;

determining the quantity sum of a plurality of same feature quantities included in each same feature quantity set in the plurality of same feature quantity sets to obtain a plurality of quantity sums;

and obtaining a plurality of weight values according to the plurality of numbers and the weight values respectively corresponding to the plurality of user IDs.
The apparatus according to claim 11 or 12, wherein, in said constructing a target user representation of the target object from the plurality of application data, the establishing unit is specifically configured to:

determining a user image set according to each application data in the plurality of application data to obtain a plurality of user image sets, wherein each user image set comprises a plurality of reference user figures with a plurality of dimensions, and each reference user figure in the plurality of reference user figures comprises a plurality of labels;

determining target tags, the occurrence frequency of which exceeds a preset frequency, in a plurality of reference user portraits corresponding to each dimension of the plurality of dimensions to obtain a plurality of target tag sets, wherein the plurality of dimensions correspond to the plurality of target tag sets one by one;

and constructing a target user representation of the target object according to the plurality of target label sets.
The apparatus according to any of claims 11-13, wherein in constructing the target user representation corresponding to the target from the plurality of target tag sets, the establishing unit is specifically configured to:

determining a target distance value corresponding to each target label in the plurality of target label sets according to a preset corresponding relation between the occurrence frequency and the distance value to obtain a plurality of target distance values;

and connecting each target tag in the plurality of target tag sets with the natural person ID according to the plurality of target distance values to obtain the target user portrait.
The apparatus according to any of claims 10-14, wherein in said pushing content for the target object according to the mapping relationship and the target user representation, the pushing unit is specifically configured to:

determining target content pushed to the target object according to the target user portrait;

determining at least one target application according to the mapping relation and the natural person ID;

and pushing the target content to at least one target application of the target object.
The apparatus according to claim 15, wherein the target user representation includes at least one identity tag corresponding to an identity information dimension, and the determining, according to the target user representation, the target content pushed to the target object is specifically configured to:

determining a first similarity between the target object and a corresponding associated object according to the at least one identity tag and at least one associated identity tag included in each associated user portrait in a plurality of associated user portraits corresponding to the plurality of associated objects to obtain a plurality of first similarities;

determining at least one target first similarity exceeding a first preset threshold in the plurality of first similarities;

and determining the content concerned by the at least one associated object corresponding to the at least one target first similarity as the target content pushed to the target object.
The apparatus of claim 16, wherein in said determining target content to push to the target object based on the target user representation, the push unit is specifically configured to:

determining a second similarity between the target user image and each historical user image in a plurality of historical user images corresponding to the target object to obtain a plurality of second similarities;

determining at least one target second similarity of the plurality of second similarities, which exceeds a second preset threshold;

and determining the content corresponding to the at least one target historical user portrait object corresponding to the at least one target second similarity as the target content pushed to the target object.
An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-9.
A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-9.
A computer program product, characterized in that the computer program product comprises a computer-readable storage medium having stored thereon a computer program for causing a computer to perform the method according to any one of claims 1-9.