CN113366523A - Resource pushing method and related product - Google Patents
Resource pushing method and related product Download PDFInfo
- Publication number
- CN113366523A CN113366523A CN201980090196.9A CN201980090196A CN113366523A CN 113366523 A CN113366523 A CN 113366523A CN 201980090196 A CN201980090196 A CN 201980090196A CN 113366523 A CN113366523 A CN 113366523A
- Authority
- CN
- China
- Prior art keywords
- target
- user
- parameter feature
- parameter
- pushing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 57
- 230000000694 effects Effects 0.000 claims abstract description 56
- 238000004891 communication Methods 0.000 claims description 82
- 238000000605 extraction Methods 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 16
- 238000007621 cluster analysis Methods 0.000 claims description 10
- 238000012216 screening Methods 0.000 claims description 5
- 230000006870 function Effects 0.000 description 13
- 238000012545 processing Methods 0.000 description 10
- 238000004422 calculation algorithm Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 5
- 238000013507 mapping Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 239000000284 extract Substances 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000007635 classification algorithm Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 235000014510 cooky Nutrition 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- AMGQUBHHOARCQH-UHFFFAOYSA-N indium;oxotin Chemical compound [In].[Sn]=O AMGQUBHHOARCQH-UHFFFAOYSA-N 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
Landscapes
- Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Finance (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Accounting & Taxation (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- User Interface Of Digital Computer (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The embodiment of the application discloses a resource pushing method and a related product, wherein the method comprises the following steps: acquiring a user ID of each object in a target group to obtain a plurality of user IDs; acquiring a parameter feature set corresponding to each user ID in the user IDs from a preset database to obtain a plurality of parameter feature sets, wherein each user ID corresponds to one parameter feature set; generating a target user portrait according to the parameter feature sets; and pushing a target resource based on the target user portrait. By adopting the embodiment of the application, the characteristics of a group can be determined to a certain extent, the activity is reversely formulated according to the characteristics of the group, when the activity does not exist, the game activity can be formulated according to the group, the accurate resource pushing can be realized, and the resource pushing efficiency is improved.
Description
The present application relates to the field of communications technologies, and in particular, to a resource pushing method and a related product.
With the widespread use of electronic devices (such as mobile phones, tablet computers, etc.), the electronic devices have more and more applications and more powerful functions, and the electronic devices are developed towards diversification and personalization, and become indispensable electronic products in the life of users.
At present, when content pushing is performed by a third-party APP, content pushing is generally performed on a user portrait of a user ID, and if the user portrait is judged to be wrong, accurate pushing cannot be achieved, so that the problem of how to improve pushing accuracy is urgently needed to be solved.
Disclosure of Invention
The embodiment of the application provides a resource pushing method and a related product, and the pushing precision can be improved.
In a first aspect, a resource pushing method in an embodiment of the present application includes:
acquiring a user ID of each object in a target group to obtain a plurality of user IDs;
acquiring a parameter feature set corresponding to each user ID in the user IDs from a preset database to obtain a plurality of parameter feature sets, wherein each user ID corresponds to one parameter feature set;
generating a target user portrait according to the parameter feature sets;
and pushing a target resource based on the target user portrait.
In a second aspect, an embodiment of the present application provides a resource pushing apparatus, where the apparatus includes:
the first acquisition unit is used for acquiring the user ID of each object in the target group to obtain a plurality of user IDs;
the second acquisition unit is used for acquiring a parameter feature set corresponding to each user ID in the user IDs from a preset database to obtain a plurality of parameter feature sets, and each user ID corresponds to one parameter feature set;
the generating unit is used for generating a target user portrait according to the parameter feature sets;
and the pushing unit is used for pushing the target resource based on 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.
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 resource pushing method disclosed in an embodiment of the present application;
fig. 2 is a schematic flowchart of another resource pushing method disclosed in an embodiment of the present application;
fig. 3 is a schematic flowchart of another resource pushing method disclosed in an embodiment 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 resource pushing apparatus disclosed in an embodiment of the present application.
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 equipment (terminal device), and so on. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices, and the electronic devices may also be servers, service platforms, and the like.
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, 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 of embodiments of the present application.
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 flowchart of a resource pushing method according to an embodiment of the present disclosure, where the data transmission method described in the embodiment is applied to the electronic device shown in fig. 1A, and the resource pushing method includes:
101. and acquiring the user ID of each object in the target group to obtain a plurality of user IDs.
Where the target group may be defined by a user or system default, for example, the group may be understood as a plurality of users using a certain APP, or may be understood as a plurality of users using a certain model of device. In this embodiment, the target group may include a plurality of objects, and each object may correspond to at least one user ID. In a specific implementation, one object may correspond to one or more relationship chains, for example, the WeChat ID of the object A may correspond to one relationship chain, and the ID of the QQ of the object A may also correspond to one relationship chain. In this embodiment of the present application, an object may correspond to one or more user IDs, and the user ID may be at least one of the following: 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.
102. And acquiring a parameter feature set corresponding to each user ID in the plurality of user IDs from a preset database to obtain a plurality of parameter feature sets, wherein each user ID corresponds to one parameter feature set.
The parameter feature set may be at least one of the following features: the electronic device may further include a user level, point consumption, activity, preference type, online time, operation habit, communication times, communication time, user ID, and the like, which are not limited herein, and the electronic device may store a preset database, where the preset database is used to store parameter feature sets of different IDs. In a specific implementation, the electronic device may obtain, from a preset database, a parameter feature set corresponding to each user ID in the plurality of user IDs to obtain a plurality of parameter feature sets, where, of course, each user ID corresponds to one parameter feature set.
In a possible example, in step 102, obtaining the parameter feature set corresponding to each user ID in the plurality of user IDs from a preset database to obtain a plurality of parameter feature sets, includes:
21. acquiring target application data corresponding to a target user ID from the preset database, wherein the target user ID is any user ID in the user IDs;
22. and performing feature extraction based on the target application data to obtain a parameter feature set corresponding to the target user ID.
In this embodiment of the application, the target application data may be derived from a third-party application or a system application. The application data may include at least one of: registering application data, application cache data, or instant messaging data, etc., which are not limited herein, for example, the application data may include: the user ID of the user identity such as cookie, APP side browsing behavior identification ID and account ID of the user. The user ID of the user ID may be a device hardware ID or a character identifier. The target application data may be from one or more applications that may be set by the user or default to the system, for example, the target application data may be application data of game B.
In a specific implementation, the electronic device may obtain target application data corresponding to a target user ID from a preset database, where the target user ID is any user ID in the multiple user IDs, and perform feature extraction based on the target application data to obtain a parameter feature set corresponding to the target user ID.
In a possible example, the step 102, performing feature extraction based on the target application data to obtain a parameter feature set corresponding to the target user ID, may include the following steps:
221. acquiring at least one label information corresponding to the target resource;
222. screening sample application data corresponding to the at least one piece of label information from the target application data;
223. and performing feature extraction on the sample application data to obtain a parameter feature set corresponding to the target user ID.
In the embodiment of the present application, the target resource may be set by a user or default by a system, and the target resource may be at least one of the following: online campaign information, upgrade packages, installation packages, advertising information, and the like, without limitation. In this embodiment, the tag information may be at least one of the following: type, time period, geographic location, identity rating, rating of points, etc., without limitation.
In specific implementation, the target resource may include at least one tag information, and the electronic device may obtain the at least one tag information corresponding to the target resource, further screen sample application data corresponding to the at least one tag information from the target application data, and perform feature extraction on the target application data, so as to obtain a parameter feature set of the target object.
103. And generating a target user portrait according to the parameter feature sets.
The multiple parameter feature sets come from different users in the group, the same features can exist among the different users, different objects in the group can be regarded as one user based on the idea, and therefore the target user portrait can be generated based on the multiple parameter feature sets.
In one possible example, the step 103 of generating the target user representation according to the plurality of parameter feature sets may comprise the steps of:
31. performing cluster analysis on the plurality of parameter feature sets to obtain target parameter feature sets, wherein the target parameter feature sets comprise at least one parameter feature set;
32. and generating a target user portrait according to the target class parameter feature set.
The electronic device can perform cluster analysis on the multiple parameter feature sets to obtain a category required by the user, namely a target parameter feature set, and the target parameter feature set can also include a parameter feature set.
In a possible example, in the step 31, performing cluster analysis on the plurality of parameter feature sets to obtain a target class parameter feature set, may include the following steps:
311. determining a similarity value between each parameter feature set and other parameter feature sets in the plurality of parameter feature sets to obtain a plurality of similarity value sets, wherein each parameter feature set corresponds to one similarity value set;
312. determining the mean value of each similarity value set according to the similarity value sets to obtain a plurality of mean values;
313. and taking the parameter feature set corresponding to the mean value which is larger than the preset mean value in the plurality of mean values as the target class parameter feature set.
The preset average value can be set by the user or defaulted by the system. Because certain commonality exists among the parameter feature sets, the similarity value between each parameter feature set and other parameter feature sets in the plurality of parameter feature sets can be determined to obtain a plurality of similarity value sets, and each parameter feature set corresponds to one similarity value set. For example, 5 parameter feature sets, a1, a2, a3, a4, a5, there is a similarity value between a1 and a2, a similarity value between a1 and a3, a similarity value between a1 and a4, a similarity value between a1 and a5, and so on. The electronic device may further determine a mean value of each similarity value set in the similarity value sets to obtain a plurality of mean values, and then may use a parameter feature set corresponding to a mean value larger than a preset mean value in the plurality of mean values as the target-class parameter feature set.
In one possible example, the parameter feature set i and the parameter feature set j are any two parameter feature sets in a plurality of parameter feature sets, and the step 311 of determining the similarity value between each parameter feature set in the plurality of parameter feature sets and the other parameter feature sets may include the following steps:
3111. acquiring a weight value corresponding to each dimension in the characteristic parameters of multiple dimensions in the parameter feature set i to obtain multiple weight values;
3112. determining the similarity between the characteristic parameters of the parameter characteristic set i and the characteristic parameters of the parameter characteristic set j to obtain a plurality of similarities;
3113. and performing weighting operation according to the plurality of similarities and the plurality of weight values to obtain a similarity value between the parameter feature set i and the parameter feature set j.
Wherein the plurality of dimensions may include at least one of: the parameter feature set i and the parameter feature set j are any two parameter feature sets in a plurality of parameter feature sets, and the time dimension, the behavior feature dimension, the operation content dimension, the communication dimension, and the like are not limited herein.
Further, the electronic device may obtain a weight value corresponding to each of multiple dimensions of feature parameters in the parameter feature set i to obtain multiple weight values, where a sum of the multiple weight values may be 1, determine a similarity between the parameter feature set i and the parameter feature set j according to the multiple dimensions of the feature parameters, where each dimension corresponds to one similarity, specifically, may calculate a similarity between a user and a target object in any relationship by using local-Sensitive Hashing (LSH), and further, may perform a weighting operation according to the multiple similarities and the multiple weight values to obtain a similarity between the parameter feature set i and the parameter feature set j. The similarity value i is a 1b 1+ a2 b2+. the right + an bn, wherein the similarity value i is a similarity value between the parameter feature set i and the parameter feature set j, a1, a2,. the right is a plurality of similarities corresponding to a plurality of dimensions between the parameter feature set i and the parameter feature set j, and b1, b2,. the right, bn are weight values corresponding to the plurality of dimensions.
Certainly, in a specific implementation, the electronic device may further determine the similarity between the parameter feature set i and the parameter feature set j according to a classification algorithm or an algorithm such as a rule engine.
104. And pushing a target resource based on the target user portrait.
The electronic equipment can push the target resource to part of the objects or all the objects in the group. The target user portrait represents the characteristics of a group to a certain extent, and target resources are pushed based on the target user portrait, so that the resources can be actively pushed according to common appeal of users, and the resource pushing efficiency and precision are improved.
In one possible example, the step 104 of pushing the target resource based on the target user representation may include the steps of:
41. determining a plurality of objects associated with the target user representation;
42. pushing the target resource to each object of the plurality of objects.
Since the user representation is generated by the plurality of parameter feature sets in step 102, each parameter feature set may correspond to one object, the target group includes a large number of pairs, the objects corresponding to the plurality of parameter feature sets may be partial objects or all objects in the group, and further, the target resource may be pushed to each object in the plurality of objects, so that accurate resource pushing may be implemented.
For example, there are several groups, such as royal group and hero group, and the characteristics of one group may be found, and the game activity may be established based on the characteristics of the group and the current time without activity.
Through the embodiment of the application, the mode that the activities are held by feeling before can be changed, some specific groups are found through accurate portraits, the activities are reversely set according to the groups, and the method can further comprise the pushing time and the pushing frequency. Specifically, on the basis of the communication of each scene ID, the parameter characteristics of each scene ID are obtained from a preset database and integrated, corresponding portrait with unified ID is determined by adopting algorithms such as a classification algorithm or a rule engine and the like according to the parameter characteristics, and activities are formulated according to the generated corresponding portrait.
In one possible example, the pushing the target resource to each object of the plurality of objects at step 42 includes:
a1, acquiring a user image of the target object, wherein the target object is any one of the objects;
a2, determining the activity information of the target object corresponding to the target resource according to the user image;
a3, determining a first target push control parameter according to the activity information;
a4, pushing the target resource to each object in the plurality of objects according to the first target pushing control parameter.
The user portrait records the activity track of the user, so that the generation algorithm of the user portrait can be stored in the electronic equipment in advance, and further, the user portrait of the target object can be directly obtained according to the algorithms, and the target object is any one of a plurality of objects. Specifically, the electronic device may obtain a user representation of the target object, and since the user representation records all activity tracks of the user, the activity information of the target object corresponding to the target resource may be determined according to the user representation, and the activity information may be at least one of the following: activity time, activity content, activity manner, activity object, etc., without limitation. Furthermore, a first target push control parameter may be determined according to the activity information, and the first target push control parameter may be at least one of: for example, any time period in the activity information may be used as the push time, and the target resource may be pushed to each object in the target group according to the first target push control parameter, so that the resource may be pushed according to the habit of the user of the target object, which is more active in the manner, and the push efficiency is higher, thereby helping to attract the attention of the user.
In one possible example, the step a2, determining the first target push control parameter according to the activity information, includes:
a21, determining the number of times of communication between the target object and each object in the plurality of objects in each preset communication time period from the activity information to obtain a plurality of times of communication;
a22, determining a target preset communication time period with the maximum number of communication times according to the plurality of communication times;
a23, determining a target push frequency according to the communication times in the target preset communication time period;
a24, taking the target preset communication time period and the target push frequency as the first target push control parameter.
The preset communication time period may be set by the user or default by the system, and the number of the preset communication time periods may be one or more, specifically, may be set by default by the system, or may be divided by the user. In a specific implementation, the electronic device may determine, from the activity information, the number of communications between the target object and each object of the multiple objects in each preset communications time period to obtain multiple communications times, determine, according to the multiple communications times, a target preset communications time period with the largest number of communications times, determine, according to the number of communications in the target preset communications time period, a target push frequency, specifically, may preset a mapping relationship between the number of communications and the push frequency, further, may determine, according to the mapping relationship, the number of communications in the target preset communications time period to determine the target push frequency, and may use the target preset communications time period and the target push frequency as the first target push control parameter.
In one possible example, the step 104 of pushing the target resource based on the target user representation may include the steps of:
b1, extracting target characteristic parameters corresponding to the target user portrait;
b2, determining a second target push control parameter according to the target characteristic parameter;
b3, pushing the target resource to each object in the target group according to the second target pushing control parameter.
In a specific implementation, the electronic device may regard a plurality of objects as a user portrait, or may extract parameters according to commonalities of a group, so that commonalities characteristic parameters of a target may be extracted. Specifically, the electronic device may extract a target feature parameter corresponding to the target user portrait, where the target feature parameter may be at least one of: time periods, behavioral characteristics, geographic locations, and the like, without limitation. The electronic device may also pre-store a mapping relationship between the characteristic parameter and the push control parameter, and further determine a second target push control parameter corresponding to the target characteristic parameter according to the mapping relationship, where the second target push control parameter may be at least one of the following parameters: push time, push frequency, push user level, push area, etc., without limitation, pushing the target resource to each object in the target group according to the second target push control parameter.
It can be seen that, in the resource pushing method described in the embodiment of the present application, the user ID of each object in the target group is obtained to obtain a plurality of user IDs, the parameter feature set corresponding to each user ID in the plurality of user IDs is obtained from the preset database to obtain a plurality of parameter feature sets, each user ID corresponds to one parameter feature set, the target user portrait is generated according to the plurality of parameter feature sets, the target resource is pushed based on the target user portrait, the feature of one group can be determined to a certain extent, the activity is reversely set according to the feature of the group, when there is no activity, the game activity can be set according to the crowd, the accurate resource pushing can be realized, and the resource pushing efficiency is improved.
In accordance with the above, please refer to fig. 2, fig. 2 is a schematic flowchart of another resource pushing method provided in the embodiment of the present application, and the resource pushing method described in the embodiment is applied to the electronic device shown in fig. 1A, and the method may include the following steps:
201. and acquiring the user ID of each object in the target group to obtain a plurality of user IDs.
202. And acquiring a parameter feature set corresponding to each user ID in the plurality of user IDs from a preset database to obtain a plurality of parameter feature sets, wherein each user ID corresponds to one parameter feature set.
203. And generating a target user portrait according to the parameter feature sets.
204. A plurality of objects associated with the target user representation are determined.
205. And acquiring a user image of the target object, wherein the target object is any one of the plurality of objects.
206. And determining the activity information of the target object corresponding to the target resource according to the user portrait.
207. And determining a first target push control parameter according to the activity information.
208. And pushing the target resource to each object in the plurality of objects according to the first target pushing control parameter.
The specific implementation process of the steps 201-208 can refer to the corresponding description in the method shown in fig. 1B, and is not described herein again.
It can be seen that the resource pushing method described in the foregoing embodiment of the present application obtains a user ID of each object in a target group to obtain a plurality of user IDs, obtains a parameter feature set corresponding to each user ID in the plurality of user IDs from a preset database to obtain a plurality of parameter feature sets, where each user ID corresponds to a parameter feature set, generates a target user portrait according to the plurality of parameter feature sets, determines a plurality of objects associated with the target user portrait, obtains a user portrait of the target object, where the target object is any object in the plurality of objects, determines activity information of the target object corresponding to the target resource according to the user portrait, determines a first target pushing control parameter according to the activity information, pushes the target resource to each object in the plurality of objects according to the first target pushing control parameter, can determine a feature of a group to a certain extent, and formulates reverse activities according to the feature of the group, if no activity exists at present, game activities can be formulated according to crowds, corresponding pushing control parameters can be determined according to any object in the target user image, and resource pushing is carried out according to the pushing control parameters, so that accurate resource pushing can be realized, and the resource pushing efficiency is improved.
In accordance with the above, please refer to fig. 3, which is a schematic flowchart illustrating an embodiment of another resource pushing method according to an embodiment of the present application, where the resource pushing method described in the embodiment is applied to the electronic device shown in fig. 1A, and the method includes the following steps:
301. and acquiring the user ID of each object in the target group to obtain a plurality of user IDs.
302. And acquiring a parameter feature set corresponding to each user ID in the plurality of user IDs from a preset database to obtain a plurality of parameter feature sets, wherein each user ID corresponds to one parameter feature set.
303. And generating a target user portrait according to the parameter feature sets.
304. And extracting target characteristic parameters corresponding to the target user portrait.
305. And determining a second target push control parameter according to the target characteristic parameter.
306. And pushing the target resource to each object in the target group according to the second target pushing control parameter.
The specific implementation process of the steps 301-306 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 the resource pushing method described in the above embodiment of the present application obtains a user ID of each object in a target group to obtain a plurality of user IDs, obtains a parameter feature set corresponding to each user ID in the plurality of user IDs from a preset database to obtain a plurality of parameter feature sets, each user ID corresponds to a parameter feature set, generates a target user portrait according to the plurality of parameter feature sets, extracts a target feature parameter corresponding to the target user portrait, determines a second target pushing control parameter according to the target feature parameter, pushes a target resource to each object in the target group according to the second target pushing control parameter, can determine a feature of a group to a certain extent, and reversely makes an activity according to the feature of the group, when there is no activity, can make a game activity according to the group, and push the resource according to the overall feature of the group, accurate resource pushing can be achieved, and resource pushing efficiency is improved.
In accordance with the above, please refer to fig. 4, in which fig. 4 is an electronic device according to an embodiment of the present application, including: a processor and a memory; and one or more programs stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps of:
acquiring a user ID of each object in a target group to obtain a plurality of user IDs;
acquiring a parameter feature set corresponding to each user ID in the user IDs from a preset database to obtain a plurality of parameter feature sets, wherein each user ID corresponds to one parameter feature set;
generating a target user portrait according to the parameter feature sets;
and pushing a target resource based on the target user portrait.
It can be seen that, in the electronic device described in the embodiment of the present application, the user ID of each object in the target group is obtained to obtain a plurality of user IDs, the parameter feature set corresponding to each user ID in the plurality of user IDs is obtained from the preset database to obtain a plurality of parameter feature sets, each user ID corresponds to one parameter feature set, the target user portrait is generated according to the plurality of parameter feature sets, the target resource is pushed based on the target user portrait, the feature of one group can be determined to a certain extent, the activity is reversely established according to the feature of the group, when there is no activity, the game activity can be established according to the crowd, the accurate resource pushing can be realized, and the resource pushing efficiency is improved.
In one possible example, in the obtaining, from the preset database, a parameter feature set corresponding to each of the plurality of user IDs to obtain a plurality of parameter feature sets, the program includes instructions for:
acquiring target application data corresponding to a target user ID from the preset database, wherein the target user ID is any user ID in the user IDs;
and performing feature extraction based on the target application data to obtain a parameter feature set corresponding to the target user ID.
In one possible example, in the aspect of performing feature extraction based on the target application data to obtain a parameter feature set corresponding to the target user ID, the program includes instructions for performing the following steps:
acquiring at least one label information corresponding to the target resource;
screening sample application data corresponding to the at least one piece of label information from the target application data;
and performing feature extraction on the sample application data to obtain a parameter feature set corresponding to the target user ID.
In one possible example, in said generating a target user representation from said plurality of sets of parameter features, said program comprises instructions for performing the steps of:
performing cluster analysis on the plurality of parameter feature sets to obtain target parameter feature sets, wherein the target parameter feature sets comprise at least one parameter feature set;
and generating a target user portrait according to the target class parameter feature set.
In one possible example, in the clustering the plurality of parameter feature sets to obtain the target class parameter feature set, the program includes instructions for:
determining a similarity value between each parameter feature set and other parameter feature sets in the plurality of parameter feature sets to obtain a plurality of similarity value sets, wherein each parameter feature set corresponds to one similarity value set;
determining the mean value of each similarity value set according to the similarity value sets to obtain a plurality of mean values;
and taking the parameter feature set corresponding to the mean value which is larger than the preset mean value in the plurality of mean values as the target class parameter feature set.
In one possible example, in said pushing a target resource based on said target user representation, said program includes instructions for:
determining a plurality of objects associated with the target user representation;
pushing the target resource to each object of the plurality of objects.
In one possible example, in said pushing the target resource to each object of the plurality of objects, the program includes instructions for:
acquiring a user image of the target object, wherein the target object is any one of the plurality of objects;
determining the activity information of the target object corresponding to the target resource according to the user image;
determining a first target push control parameter according to the activity information;
and pushing the target resource to each object in the plurality of objects according to the first target pushing control parameter.
In one possible example, in said determining a first target push control parameter in dependence of said activity information, said program comprises instructions for performing the steps of:
determining the communication times of the target object and each object in the plurality of objects in each preset communication time period from the activity information to obtain a plurality of communication times;
determining a target preset communication time period with the maximum communication times according to the communication times;
determining a target pushing frequency according to the communication times in the target preset communication time period;
and taking the target preset communication time period and the target push frequency as the first target push control parameter.
In one possible example, in said pushing a target resource based on said target user representation, said program includes instructions for:
extracting target characteristic parameters corresponding to the target user portrait;
determining a second target pushing control parameter according to the target characteristic parameter;
and pushing the target resource to each object in the target group according to the second target pushing control parameter.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a resource pushing device according to the present embodiment. The resource pushing apparatus is applied to the electronic device shown in fig. 1A, and includes a first obtaining unit 501, a second obtaining unit 502, a generating unit 503 and a pushing unit 504, wherein,
a first obtaining unit 501, configured to obtain a user ID of each object in a target group, to obtain multiple user IDs;
a second obtaining unit 502, configured to obtain, from a preset database, a parameter feature set corresponding to each user ID in the multiple user IDs to obtain multiple parameter feature sets, where each user ID corresponds to a parameter feature set;
a generating unit 503, configured to generate a target user portrait according to the plurality of parameter feature sets;
a pushing unit 504, configured to push a target resource based on the target user representation.
It can be seen that, the resource pushing device described in the embodiment of the present application obtains the user ID of each object in the target group to obtain a plurality of user IDs, obtains the parameter feature set corresponding to each user ID in the plurality of user IDs from the preset database to obtain a plurality of parameter feature sets, where each user ID corresponds to one parameter feature set, generates the target user portrait according to the plurality of parameter feature sets, pushes the target resource based on the target user portrait, can determine the features of a group to a certain extent, and reversely makes an activity according to the features of the group.
In a possible example, in the aspect that the parameter feature set corresponding to each user ID in the multiple user IDs is obtained from a preset database to obtain multiple parameter feature sets, the second obtaining unit 502 is specifically configured to:
acquiring target application data corresponding to a target user ID from the preset database, wherein the target user ID is any user ID in the user IDs;
and performing feature extraction based on the target application data to obtain a parameter feature set corresponding to the target user ID.
In a possible example, in terms of performing feature extraction based on the target application data to obtain a parameter feature set corresponding to the target user ID, the second obtaining unit 502 is specifically configured to:
acquiring at least one label information corresponding to the target resource;
screening sample application data corresponding to the at least one piece of label information from the target application data;
and performing feature extraction on the sample application data to obtain a parameter feature set corresponding to the target user ID.
In one possible example, in the aspect of generating the target user representation according to the plurality of parameter feature sets, the generating unit 503 is specifically configured to:
performing cluster analysis on the plurality of parameter feature sets to obtain target parameter feature sets, wherein the target parameter feature sets comprise at least one parameter feature set;
and generating a target user portrait according to the target class parameter feature set.
In a possible example, in the aspect of performing cluster analysis on the multiple parameter feature sets to obtain a target class parameter feature set, the generating unit 503 is specifically configured to:
determining a similarity value between each parameter feature set and other parameter feature sets in the plurality of parameter feature sets to obtain a plurality of similarity value sets, wherein each parameter feature set corresponds to one similarity value set;
determining the mean value of each similarity value set according to the similarity value sets to obtain a plurality of mean values;
and taking the parameter feature set corresponding to the mean value which is larger than the preset mean value in the plurality of mean values as the target class parameter feature set.
In one possible example, in the aspect of pushing a target resource based on the target user representation, the pushing unit 504 is specifically configured to:
determining a plurality of objects associated with the target user representation;
pushing the target resource to each object of the plurality of objects.
In one possible example, in terms of the pushing the target resource to each object of the plurality of objects, the pushing unit 504 is specifically configured to:
acquiring a user image of the target object, wherein the target object is any one of the plurality of objects;
determining the activity information of the target object corresponding to the target resource according to the user image;
determining a first target push control parameter according to the activity information;
and pushing the target resource to each object in the plurality of objects according to the first target pushing control parameter.
In one possible example, in the aspect of determining the first target push control parameter according to the activity information, the push unit 504 is specifically configured to:
determining the communication times of the target object and each object in the plurality of objects in each preset communication time period from the activity information to obtain a plurality of communication times;
determining a target preset communication time period with the maximum communication times according to the communication times;
determining a target pushing frequency according to the communication times in the target preset communication time period;
and taking the target preset communication time period and the target push frequency as the first target push control parameter.
In one possible example, in the aspect of pushing a target resource based on the target user representation, the pushing unit 504 is specifically configured to:
extracting target characteristic parameters corresponding to the target user portrait;
determining a second target pushing control parameter according to the target characteristic parameter;
and pushing the target resource to each object in the target group according to the second target pushing control parameter.
It can be understood that the functions of each program module of the resource pushing 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, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the data transmission methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the data transmission methods as recited 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 (20)
- A resource pushing method is characterized by comprising the following steps:acquiring a user ID of each object in a target group to obtain a plurality of user IDs;acquiring a parameter feature set corresponding to each user ID in the user IDs from a preset database to obtain a plurality of parameter feature sets, wherein each user ID corresponds to one parameter feature set;generating a target user portrait according to the parameter feature sets;and pushing a target resource based on the target user portrait.
- The method of claim 1, wherein the obtaining the parameter feature set corresponding to each of the plurality of user IDs from a preset database to obtain a plurality of parameter feature sets comprises:acquiring target application data corresponding to a target user ID from the preset database, wherein the target user ID is any user ID in the user IDs;and performing feature extraction based on the target application data to obtain a parameter feature set corresponding to the target user ID.
- The method according to claim 2, wherein the performing feature extraction based on the target application data to obtain a parameter feature set corresponding to the target user ID comprises:acquiring at least one label information corresponding to the target resource;screening sample application data corresponding to the at least one piece of label information from the target application data;and performing feature extraction on the sample application data to obtain a parameter feature set corresponding to the target user ID.
- The method of any of claims 1-3, wherein generating a target user representation from the plurality of sets of parametric features comprises:performing cluster analysis on the plurality of parameter feature sets to obtain target parameter feature sets, wherein the target parameter feature sets comprise at least one parameter feature set;and generating a target user portrait according to the target class parameter feature set.
- The method of claim 4, wherein the performing cluster analysis on the plurality of parameter feature sets to obtain a target class parameter feature set comprises:determining a similarity value between each parameter feature set and other parameter feature sets in the plurality of parameter feature sets to obtain a plurality of similarity value sets, wherein each parameter feature set corresponds to one similarity value set;determining the mean value of each similarity value set according to the similarity value sets to obtain a plurality of mean values;and taking the parameter feature set corresponding to the mean value which is larger than the preset mean value in the plurality of mean values as the target class parameter feature set.
- The method of any of claims 1-5, wherein pushing a target resource based on the target user representation comprises:determining a plurality of objects associated with the target user representation;pushing the target resource to each object of the plurality of objects.
- The method of claim 6, wherein the pushing the target resource to each object of the plurality of objects comprises:acquiring a user image of the target object, wherein the target object is any one of the plurality of objects;determining the activity information of the target object corresponding to the target resource according to the user image;determining a first target push control parameter according to the activity information;and pushing the target resource to each object in the plurality of objects according to the first target pushing control parameter.
- The method of claim 7, wherein determining the first target push control parameter according to the activity information comprises:determining the communication times of the target object and each object in the plurality of objects in each preset communication time period from the activity information to obtain a plurality of communication times;determining a target preset communication time period with the maximum communication times according to the communication times;determining a target pushing frequency according to the communication times in the target preset communication time period;and taking the target preset communication time period and the target push frequency as the first target push control parameter.
- The method of any of claims 1-6, wherein pushing a target resource based on the target user representation comprises:extracting target characteristic parameters corresponding to the target user portrait;determining a second target pushing control parameter according to the target characteristic parameter;and pushing the target resource to each object in the target group according to the second target pushing control parameter.
- An apparatus for pushing resources, the apparatus comprising:the first acquisition unit is used for acquiring the user ID of each object in the target group to obtain a plurality of user IDs;the second acquisition unit is used for acquiring a parameter feature set corresponding to each user ID in the user IDs from a preset database to obtain a plurality of parameter feature sets, and each user ID corresponds to one parameter feature set;the generating unit is used for generating a target user portrait according to the parameter feature sets;and the pushing unit is used for pushing the target resource based on the target user portrait.
- The apparatus according to claim 10, wherein in the aspect of obtaining a plurality of parameter feature sets from a preset database, the second obtaining unit is specifically configured to:acquiring target application data corresponding to a target user ID from the preset database, wherein the target user ID is any user ID in the user IDs;and performing feature extraction based on the target application data to obtain a parameter feature set corresponding to the target user ID.
- The apparatus according to claim 11, wherein, in the aspect of performing feature extraction based on the target application data to obtain the parameter feature set corresponding to the target user ID, the second obtaining unit is specifically configured to:acquiring at least one label information corresponding to the target resource;screening sample application data corresponding to the at least one piece of label information from the target application data;and performing feature extraction on the sample application data to obtain a parameter feature set corresponding to the target user ID.
- The apparatus according to any of the claims 10-12, wherein in said generating a target user representation from said plurality of sets of parameter features, said generating unit is specifically configured to:performing cluster analysis on the plurality of parameter feature sets to obtain target parameter feature sets, wherein the target parameter feature sets comprise at least one parameter feature set;and generating a target user portrait according to the target class parameter feature set.
- The apparatus according to claim 13, wherein in the aspect of performing cluster analysis on the plurality of parameter feature sets to obtain a target class parameter feature set, the generating unit is specifically configured to:determining a similarity value between each parameter feature set and other parameter feature sets in the plurality of parameter feature sets to obtain a plurality of similarity value sets, wherein each parameter feature set corresponds to one similarity value set;determining the mean value of each similarity value set according to the similarity value sets to obtain a plurality of mean values;and taking the parameter feature set corresponding to the mean value which is larger than the preset mean value in the plurality of mean values as the target class parameter feature set.
- The apparatus according to any of claims 10-14, wherein in said pushing a target resource based on said target user representation, said pushing unit is specifically configured to:determining a plurality of objects associated with the target user representation;pushing the target resource to each object of the plurality of objects.
- The apparatus according to claim 15, wherein in said pushing the target resource to each of the plurality of objects, the pushing unit is specifically configured to:acquiring a user image of the target object, wherein the target object is any one of the plurality of objects;determining the activity information of the target object corresponding to the target resource according to the user image;determining a first target push control parameter according to the activity information;and pushing the target resource to each object in the plurality of objects according to the first target pushing control parameter.
- The apparatus according to claim 16, wherein, in said determining a first target push control parameter based on the activity information, the push unit is specifically configured to:determining the communication times of the target object and each object in the plurality of objects in each preset communication time period from the activity information to obtain a plurality of communication times;determining a target preset communication time period with the maximum communication times according to the communication times;determining a target pushing frequency according to the communication times in the target preset communication time period;and taking the target preset communication time period and the target push frequency as the first target push control parameter.
- 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 non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform the method according to any one of claims 1-9.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2019/092077 WO2020252742A1 (en) | 2019-06-20 | 2019-06-20 | Resource pushing method and related product |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113366523A true CN113366523A (en) | 2021-09-07 |
| CN113366523B CN113366523B (en) | 2024-05-07 |
Family
ID=74040513
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201980090196.9A Active CN113366523B (en) | 2019-06-20 | 2019-06-20 | Resource pushing method and related products |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN113366523B (en) |
| WO (1) | WO2020252742A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113961798A (en) * | 2021-09-26 | 2022-01-21 | 深圳市铠硕达科技有限公司 | Cloud platform data management method and system |
Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102637178A (en) * | 2011-02-14 | 2012-08-15 | 北京瑞信在线系统技术有限公司 | Music recommending method, music recommending device and music recommending system |
| CN103218366A (en) * | 2012-01-20 | 2013-07-24 | 腾讯科技（深圳）有限公司 | Method and system for recommending download resources |
| CN105049526A (en) * | 2015-08-19 | 2015-11-11 | 网易（杭州）网络有限公司 | Push method, device and system of game gift bag |
| CN105893406A (en) * | 2015-11-12 | 2016-08-24 | 乐视云计算有限公司 | Group user profiling method and system |
| CN106230911A (en) * | 2016-07-25 | 2016-12-14 | 腾讯科技（深圳）有限公司 | A kind of played data recommends method, interest tags to determine method and relevant device |
| CN106982256A (en) * | 2017-03-31 | 2017-07-25 | 百度在线网络技术（北京）有限公司 | Information-pushing method, device, equipment and storage medium |
| CN107103057A (en) * | 2017-04-13 | 2017-08-29 | 腾讯科技（深圳）有限公司 | A kind of resource supplying method and device |
| CN108090162A (en) * | 2017-12-13 | 2018-05-29 | 北京百度网讯科技有限公司 | Information-pushing method and device based on artificial intelligence |
| CN108108451A (en) * | 2017-12-27 | 2018-06-01 | 合肥美的智能科技有限公司 | The group of subscribers portrait acquisition methods and device of group |
| CN108537578A (en) * | 2018-03-26 | 2018-09-14 | 杭州米趣网络科技有限公司 | Advertisement sending method based on big data and device |
| CN108965935A (en) * | 2018-07-31 | 2018-12-07 | 山东广电网络有限公司 | The method and apparatus of data collection and analysis and the information push of multiple terminals broadcasting and TV business |
| CN109064278A (en) * | 2018-07-26 | 2018-12-21 | 北京三快在线科技有限公司 | Target object recommended method and device, electronic equipment, storage medium |
| CN109299997A (en) * | 2018-09-03 | 2019-02-01 | 中国平安人寿保险股份有限公司 | Products Show method, apparatus and computer readable storage medium |
| CN109359236A (en) * | 2018-08-22 | 2019-02-19 | 中国平安人寿保险股份有限公司 | Target user's method for digging and device based on big data analysis |
| CN109544284A (en) * | 2018-11-08 | 2019-03-29 | 平安科技（深圳）有限公司 | Product data method for pushing, system and computer equipment based on big data |
| CN109582876A (en) * | 2018-12-19 | 2019-04-05 | 广州易起行信息技术有限公司 | Tourism industry user portrait building method, device and computer equipment |
| CN109684557A (en) * | 2018-12-28 | 2019-04-26 | 上海掌门科技有限公司 | It is a kind of for providing the method and apparatus of social information under line |
| CN109784973A (en) * | 2018-12-14 | 2019-05-21 | 中国平安人寿保险股份有限公司 | Advertisement placement method, device and electronic equipment based on big data analysis |
| CN109819015A (en) * | 2018-12-14 | 2019-05-28 | 深圳壹账通智能科技有限公司 | Information-pushing method, device, equipment and storage medium based on user's portrait |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104090888B (en) * | 2013-12-10 | 2016-05-11 | 深圳市腾讯计算机系统有限公司 | A kind of analytical method of user behavior data and device |
| CN107507016A (en) * | 2017-06-29 | 2017-12-22 | 北京三快在线科技有限公司 | A kind of information push method and system |
| CN109033149B (en) * | 2018-06-12 | 2020-11-13 | 北京奇艺世纪科技有限公司 | Information recommendation method and device, server and storage medium |
-
2019
- 2019-06-20 WO PCT/CN2019/092077 patent/WO2020252742A1/en active Application Filing
- 2019-06-20 CN CN201980090196.9A patent/CN113366523B/en active Active
Patent Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102637178A (en) * | 2011-02-14 | 2012-08-15 | 北京瑞信在线系统技术有限公司 | Music recommending method, music recommending device and music recommending system |
| CN103218366A (en) * | 2012-01-20 | 2013-07-24 | 腾讯科技（深圳）有限公司 | Method and system for recommending download resources |
| CN105049526A (en) * | 2015-08-19 | 2015-11-11 | 网易（杭州）网络有限公司 | Push method, device and system of game gift bag |
| CN105893406A (en) * | 2015-11-12 | 2016-08-24 | 乐视云计算有限公司 | Group user profiling method and system |
| CN106230911A (en) * | 2016-07-25 | 2016-12-14 | 腾讯科技（深圳）有限公司 | A kind of played data recommends method, interest tags to determine method and relevant device |
| CN106982256A (en) * | 2017-03-31 | 2017-07-25 | 百度在线网络技术（北京）有限公司 | Information-pushing method, device, equipment and storage medium |
| CN107103057A (en) * | 2017-04-13 | 2017-08-29 | 腾讯科技（深圳）有限公司 | A kind of resource supplying method and device |
| CN108090162A (en) * | 2017-12-13 | 2018-05-29 | 北京百度网讯科技有限公司 | Information-pushing method and device based on artificial intelligence |
| CN108108451A (en) * | 2017-12-27 | 2018-06-01 | 合肥美的智能科技有限公司 | The group of subscribers portrait acquisition methods and device of group |
| CN108537578A (en) * | 2018-03-26 | 2018-09-14 | 杭州米趣网络科技有限公司 | Advertisement sending method based on big data and device |
| CN109064278A (en) * | 2018-07-26 | 2018-12-21 | 北京三快在线科技有限公司 | Target object recommended method and device, electronic equipment, storage medium |
| CN108965935A (en) * | 2018-07-31 | 2018-12-07 | 山东广电网络有限公司 | The method and apparatus of data collection and analysis and the information push of multiple terminals broadcasting and TV business |
| CN109359236A (en) * | 2018-08-22 | 2019-02-19 | 中国平安人寿保险股份有限公司 | Target user's method for digging and device based on big data analysis |
| CN109299997A (en) * | 2018-09-03 | 2019-02-01 | 中国平安人寿保险股份有限公司 | Products Show method, apparatus and computer readable storage medium |
| CN109544284A (en) * | 2018-11-08 | 2019-03-29 | 平安科技（深圳）有限公司 | Product data method for pushing, system and computer equipment based on big data |
| CN109784973A (en) * | 2018-12-14 | 2019-05-21 | 中国平安人寿保险股份有限公司 | Advertisement placement method, device and electronic equipment based on big data analysis |
| CN109819015A (en) * | 2018-12-14 | 2019-05-28 | 深圳壹账通智能科技有限公司 | Information-pushing method, device, equipment and storage medium based on user's portrait |
| CN109582876A (en) * | 2018-12-19 | 2019-04-05 | 广州易起行信息技术有限公司 | Tourism industry user portrait building method, device and computer equipment |
| CN109684557A (en) * | 2018-12-28 | 2019-04-26 | 上海掌门科技有限公司 | It is a kind of for providing the method and apparatus of social information under line |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113961798A (en) * | 2021-09-26 | 2022-01-21 | 深圳市铠硕达科技有限公司 | Cloud platform data management method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020252742A1 (en) | 2020-12-24 |
| CN113366523B (en) | 2024-05-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106528745B (en) | Method and device for recommending resources on mobile terminal and mobile terminal | |
| CN113939814A (en) | Content push method and related product | |
| CN109508321B (en) | Image display method and related product | |
| CN107219976A (en) | Application display method and related product | |
| CN108156508B (en) | Barrage information processing method and device, mobile terminal, server and system | |
| CN112291134B (en) | Information prompting method, device, equipment and storage medium | |
| CN113316778B (en) | Equipment recommendation method and related product | |
| CN113396414A (en) | Brushing amount user identification method and related product | |
| CN109062468A (en) | Multi-screen display method, device, storage medium and electronic equipment | |
| CN109067981A (en) | Split screen application switching method, device, storage medium and electronic equipment | |
| CN113940033B (en) | User identification method and related product | |
| CN111913620A (en) | Notification message display method and device, storage medium and mobile terminal | |
| CN107291327A (en) | Application control method and related product | |
| CN109144721B (en) | Resource sorting method, resource display method, related device and storage medium | |
| KR20190117753A (en) | Message notification method and terminal | |
| CN109348062B (en) | Emergency call implementation method, electronic device and computer-readable storage medium | |
| CN106294087B (en) | Statistical method and device for operation frequency of business execution operation | |
| CN107317917B (en) | Application control method and Related product | |
| CN113396433B (en) | User portrait construction method and related products | |
| CN113366523B (en) | Resource pushing method and related products | |
| CN107172289A (en) | The quick method and Related product for searching application | |
| CN109359453B (en) | Unlocking method and related product | |
| CN108616637B (en) | Information processing method and device, electronic equipment and computer readable storage medium | |
| CN116307394A (en) | Product user experience scoring method, device, medium and equipment | |
| CN113366469A (en) | Data classification method and related product |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |