CN108810047B - Method and device for determining information push accuracy rate and server - Google Patents
Method and device for determining information push accuracy rate and server Download PDFInfo
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- CN108810047B CN108810047B CN201710298832.XA CN201710298832A CN108810047B CN 108810047 B CN108810047 B CN 108810047B CN 201710298832 A CN201710298832 A CN 201710298832A CN 108810047 B CN108810047 B CN 108810047B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/535—Tracking the activity of the user
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Abstract
The application discloses a method, a device and a server for determining information push accuracy. One embodiment of the method comprises: acquiring push information pushed to a plurality of clients within a preset time period to determine push objects contained in the push information, wherein the push information comprises list information of the push objects and push channel information of each push object; acquiring the times of a preset first operation executed on a push object by a user in a preset time period and push channel information of each push object receiving the first operation; and determining the information push accuracy corresponding to each push channel based on the number of the push objects pushed to the plurality of clients within the preset time period and the number of times of the first operation of the user on the push objects. Therefore, the simple and easily-executed evaluation method for the recommendation effect of each recommendation channel is realized, and further the guidance effect on further improvement of each recommendation channel can be realized.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to the field of internet technologies, and in particular, to a method, an apparatus, and a server for determining an information push accuracy.
Background
With the further development of internet technology, the amount of information carried by the internet has increased dramatically. People often need to find information of interest among a huge amount of information. For example, in the field of electronic commerce, users often spend a lot of time finding the goods they want to buy. This process of finding self-interest in a vast amount of information wastes a great deal of time for people.
In order to save time for people to browse a large amount of irrelevant information, a personalized recommendation channel is generated, and the personalized recommendation channel is a high-level intelligent platform established on the basis of mass data mining and is used for helping each internet website to provide completely personalized information service for users of the internet website.
Generally, an internet site can adopt a plurality of personalized recommendation channels, and the personalized recommendation channels can generate push information for different users at the same time.
However, at present, for each personalized recommendation channel adopted by the same internet site, which recommendation channel has a better recommendation effect is poor, and no better evaluation method exists, so that further improvement of the personalized recommendation channel is hindered.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method, an apparatus, and a server for determining an information pushing accuracy, so as to solve the technical problems mentioned in the above background.
In a first aspect, an embodiment of the present application provides a method for determining information push accuracy, where the method includes obtaining push information pushed to multiple clients within a predetermined time period to determine a push object included in the push information, where the push information includes list information of the push objects and push channel information of each push object; acquiring the times of a preset first operation executed on a push object by a user in a preset time period and push channel information of each push object receiving the first operation; and determining the information push accuracy corresponding to each push channel based on the number of the push objects pushed to the plurality of clients within the preset time period and the number of times of the first operation of the user on the push objects.
In a second aspect, an embodiment of the present application provides an apparatus for determining information push accuracy, where the apparatus includes: the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is configured to acquire push information pushed to a plurality of clients within a preset time period so as to determine push objects contained in the push information, and the push information comprises list information of the push objects and push channel information of each push object; the second acquisition unit is configured to acquire the preset number of times of first operations executed on the push object by a user in a preset time period and push channel information of each push object receiving the first operations; the determining unit is configured to determine information push accuracy rates corresponding to the push channels based on the number of the push objects pushed to the plurality of clients within a predetermined time period and the number of times of first operations on the push objects by the user.
In a third aspect, the present application provides a server comprising one or more processors; a storage device to store one or more programs. When the one or more programs are executed by one or more processors, the one or more processors implement the method for determining information push accuracy.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the above-mentioned method for determining information push accuracy.
The method and the device for determining the information push accuracy rate provided by the embodiment of the application firstly acquire push information pushed to a plurality of clients within a preset time period to determine push objects contained in the push information, wherein the push information comprises list information of the push objects and push channel information of each push object; then, acquiring the times of a preset first operation executed on a push object by a user in a preset time period and push channel information of each push object receiving the first operation of the user; and finally, determining the information push accuracy corresponding to each push channel based on the number of push objects pushed to the plurality of clients in a preset time period and the number of times of first operation of the user on the push objects, thereby realizing a simple and easily-executed evaluation method for the recommendation effect of each recommendation channel. Furthermore, the method can play a guiding role in perfecting each recommendation channel.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of a method for determining information push accuracy according to the present application;
FIG. 3 is a schematic diagram of a method for determining information push accuracy according to the present application;
FIG. 4 is a schematic structural diagram of an embodiment of an apparatus for determining information push accuracy according to the present application;
FIG. 5 is a block diagram of a computer system suitable for use in implementing a server according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 illustrates an exemplary system architecture 100 for determining an accuracy rate of an information push method or for determining an information push device to which the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, networks 104, 106 and first and second servers 105, 107, 108, 109. The network 104 is used to provide the medium of the transmission link between the terminal devices 101, 102, 103 and the first server 105. The network 106 serves to provide the medium of transmission links between the first server 105 and the second servers 107, 108, 109. Network 104 and network 106 may include various connection types, such as wired, wireless transmission links, or fiber optic cables, among others.
The user may use the terminal device 101, 102, 103 to interact with the first server 105 over the network 104 to receive or push messages or the like. Various applications may be installed on the terminal devices 101, 102, 103, such as a web browser application, a shopping-like application, a search-like application, an instant messaging tool, a mailbox client, social platform software, and the like.
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting network communications, including but not limited to smart phones, tablet computers, e-book readers, laptop portable computers, desktop computers, and the like.
The first server 105 may provide data services for shopping applications and search applications on the terminal devices 101, 102, and 103, may receive access requests of the terminal devices 101, 102, and 103, and process the access requests, for example, may generate user management information according to user identification information and access time of the terminal device, and may respectively shunt the access requests from the terminal devices 101, 102, and 103 to the second servers 107, 108, and 109 according to the user management information. And receives list information of push objects pushed by access requests from the second servers 107, 108, 109 to the terminal apparatuses 101, 102, 103, respectively. Push information corresponding to access requests of the terminal devices 101, 102, 103 respectively is generated according to the list information of the push objects and then pushed to the terminal devices 101, 102, 103 respectively. In addition, the first server 105 may count the number of push objects to be pushed to the terminal apparatuses 101, 102, and 103 within a predetermined period of time.
The second servers 107, 108, 109 may be servers that provide various services, such as a server that generates a user profile from the user's basic information, such as age, gender, academic calendar, and historical behavior data, and generates list information including push objects for the user from the user profile. The historical behavior data may include, for example, information recently viewed by the user, information of click collections, and so forth.
It should be noted that, the method for determining the information pushing accuracy provided by the embodiment of the present application may be executed by the first server 105, and the means for determining the information pushing accuracy may be disposed in the first server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative, and that there may be any number of terminal devices, networks, and servers, as desired for an implementation.
With continued reference to fig. 2, a flow 200 of one embodiment of a method for determining information push accuracy of the present application is shown. The method for determining the information push accuracy rate comprises the following steps:
In this embodiment, a user may interact with an electronic device (e.g., the first server 105 shown in fig. 1) through a client (e.g., the terminal devices 101, 102, and 103 shown in fig. 1), for example, the electronic device may obtain identity information of the user through the client; the user can acquire the push information pushed by the electronic equipment through the client.
In this embodiment, the push information may include list information of the push objects and push channel information of each push object.
In some application scenarios, the push object may be, for example, a commodity pushed by an e-commerce platform to a client of the e-commerce platform. The list information of the push object may be, for example, list information composed of each commodity pushed to the client by the e-commerce platform. The push channel may include, for example, but is not limited to, a personalized recommendation system (e.g., a personalized recommendation system running on the second server 107, 108, 109 shown in fig. 1) that generates recommended goods to the user of the e-commerce platform.
Here, the plurality of clients may be all clients interacting with the electronic device (e.g., the first server 105 shown in fig. 1), or may be any designated part of clients. For convenience of explanation, in the following embodiments, a plurality of clients are exemplified as all the clients interacting with the electronic device.
In this embodiment, an electronic device (e.g., the first server 105 shown in fig. 1) may push information to its multiple clients within a predetermined time period. Specifically, the electronic device may push the push information to different clients at the same time, or push the push information to different clients at different times.
The electronic device can acquire push information pushed to a plurality of clients within a predetermined time period.
The electronic equipment stores and integrates the push information pushed to each client in a preset time period according to the push time sequence.
The electronic device may determine a push object included in push information pushed to its multiple clients within a predetermined period of time. In addition, the electronic device may count the number of all push objects pushed to the plurality of clients within a predetermined period of time as the number of push objects contained in the push information within the predetermined period of time.
In this embodiment, a user may perform a first operation on each push object through a client. The first operation may include, for example, a predetermined operation.
In this embodiment, after determining the push objects and the number of the push objects included in the push information pushed to the multiple clients within a predetermined time period in step 201, the electronic device may further obtain a first operation performed by the users of the multiple clients on the push objects in the push information pushed by the electronic device within the predetermined time period, and count the number of times of the first operation. Meanwhile, the electronic equipment can also acquire the push channel information of each push object which receives the first operation of the user. Here, the push channel indicated by the push channel information may be a "channel" for sending push information to the terminal device, and in some application scenarios, the push channel may include, for example and without limitation, a server (e.g., the second server 107, 108, 109 shown in fig. 1) that generates push information to be sent to the terminal device.
The number of times of the first operation may be, for example, a sum of the number of times of the first operation performed by the users of the plurality of clients within the above-described predetermined period of time.
The electronic device may determine the information push accuracy corresponding to each push channel based on the number of all push objects pushed to the plurality of clients by the electronic device within the predetermined time period and the total number of first operations performed on the push objects by the users of the plurality of clients within the predetermined time period.
The method and the device for determining the information push accuracy rate provided by the embodiment of the application firstly obtain push information pushed to a plurality of clients within a preset time period to determine a push object contained in the push information, wherein the attribute information of the push object comprises push channel information of the push object; then, acquiring the total times of preset first operations executed on the push objects by a user in a preset time period and push channel information of all the push objects receiving the first operations; and finally, determining the information push accuracy corresponding to each push channel based on the number of push objects pushed to the plurality of clients in a preset time period and the number of times of first operation of the user on the push objects, thereby realizing a simple and easily-executed evaluation method for the recommendation effect of each recommendation channel. Furthermore, the recommendation method can be used for perfecting each recommendation channel to play a guiding role, so that the accuracy of information pushing is improved, and the waste of network resources is reduced.
In some optional implementations of the embodiment, before obtaining push information pushed to a plurality of clients within a predetermined time period to determine the number of push objects contained in the push information, an electronic device (e.g., the first server 105 shown in fig. 1) on which the method for determining information pushing accuracy is operating may obtain user information from an access request of the client to a predetermined server through a wired connection manner or a wireless connection manner.
In some application scenarios, an electronic device (e.g., the first server 105 shown in fig. 1) may obtain user information from an access request issued by a client to the electronic device for the predetermined server.
In other application scenarios, the predetermined server may be a server of a third party application, for example. The electronic equipment can acquire the user information according to the access request of the client to the third-party application server.
The user information may include user identification information and time information of a browsing request issued by the client. The user identification information may include, for example, a user name or the like.
After obtaining the user information, the electronic device may determine a push channel from a plurality of push channels according to a predetermined rule based on the user information and the time information of the browsing request issued by the client. And then acquiring the object pushed by the pushing channel and generating the pushing channel for the pushing object. And finally, the electronic equipment generates push information based on the push channel of the push object.
Further optionally, the electronic device may determine the push channel according to a load balancing algorithm based on the user information. The load balancing algorithm may be, for example, a round robin method, a random method, a source address hashing method, a weighted round robin method, a weighted random method, a minimum connection number method, or the like. The phenomenon that a pushing object is delayed due to the fact that a certain pushing channel in a plurality of pushing channels is overloaded is avoided.
In some optional implementations of this embodiment, the push channel information may further include push algorithm information. Any one push channel may for example use multiple push algorithms. Further optionally, the electronic device may determine the push channel and a push algorithm employed by the determined push channel according to a load balancing algorithm based on the user information.
Further optionally, the electronic device may further determine, based on the number of the push objects pushed to the plurality of clients within the predetermined time period and the number of times of the first operation on the push objects by the user, an information pushing accuracy corresponding to each push algorithm in each push channel. This facilitates improving the push algorithm in terms of information push accuracy of the respective push algorithm.
In some optional implementations of this embodiment, the first operation may be a selected operation. The electronic equipment calculates the ratio of the number of times of selection operations received by the push objects belonging to any push channel to the number of all the push objects belonging to the push channel (namely, the selection rate) in a preset time period as the information push accuracy rate of the push channel.
In some optional implementations of this embodiment, the first operation may be, for example, a transaction operation. The electronic equipment can calculate the ratio of the number of transaction operations received by the push objects belonging to any push channel to the number of all the push objects belonging to the push channel (namely, the transaction rate) in a preset time period as the information push accuracy rate of the push channel.
In some optional implementations of the present embodiment, the predetermined time period may be in units of days or minutes.
When the predetermined time period is in days, the electronic device may calculate the information push accuracy rate corresponding to each push channel offline.
When the predetermined period of time is in units of minutes, the electronic device may calculate information push accuracy rates corresponding to the push channels on line.
Referring to fig. 3, an exemplary schematic diagram 300 of a method for determining information push accuracy according to an embodiment of the present application is shown.
As shown in fig. 3, the server 301 may be connected to a plurality of clients (client 1, client 2, …, client N) via a network. Client 1, client 2, …, and client N may correspond to user 1, user 2, …, and user N, respectively, for example. In some application scenarios, the server 301 may be, for example, a server of an e-commerce website. The client 1, the client 2, the client …, and the client N may be various mobile terminals, for example. The client may be running, for example, a third party application. In some application scenarios, a user may interact with the server 301 through a third party application installed on the client. At a certain moment, assuming that the user 1 sends an access request to the server 301 through the client 1, the server 301 may select the push channel a1 from the push channel a1, the push channels a2, …, and the push channel AM according to the user identification information of the user 1 and the time when the client 1 sends a browse request to the server 301 by a load balancing algorithm. The push channel a1 generates a push object list according to one push algorithm selected by the server 301 from a user image of the user 1 generated in advance. In some application scenarios, the above-mentioned push object list may be, for example, a commodity list.
The server 301 processes the list of push objects and push channels generated for the user 1 by the push channel a1 at that point in time into push information. And then push the above push information to the client 1. Meanwhile, the server 301 sends the push information to the distributed log acquisition system 3011. The distributed log collecting system 3011 may operate in the server 301, or may operate in another server.
When the user 1 performs a preset first operation on one or more push objects in the push information pushed to the client 1, the client 1 transfers the first operation information of the user 1 to the server 301. The push object accepting the first operation is also transmitted to the server 301 together with the push channel information of the push object when the first operation information is delivered. In some application scenarios, the push channel information may be encoded and then transmitted. The server 301 analyzes the codes to obtain the push channel information of the push object receiving the first operation. The server sends the first operation and the push channel of the push object receiving the first operation to the distributed log collection system 3011. The first operation may be a click operation, and further, the first operation may be a transaction operation.
Likewise, the distributed log collecting system 3011 may collect push information pushed to the client 1, the client 2, …, and the client N by the push channel a1, the push channels a2, …, and the push channel AM at any time, and collect first operation information performed by the user on the push object in the push object list through the client 1, the client 2, …, and the client N at any time.
The server 301 may perform offline analysis information pushing accuracy 3012 and real-time analysis information pushing accuracy 3013 according to the pushing information acquired by the distributed log acquisition system 3011, the first operation information of each user, and the pushing channel information of the pushing object that receives the first operation of each user.
Offline analysis information push accuracy 3012 may order and integrate data for 1 day, for example, in chronological order. The offline analysis information pushing accuracy 3012 may calculate the information pushing accuracy of each pushing channel within 1 day according to the total number of pushing objects pushed to each client within 1 day and the total number of times of first operations of all users received by the pushing objects in the pushing information within the day.
Analyzing the information pushing accuracy 3013 in real time may calculate the information pushing accuracy of each pushing channel within 5 minutes from, for example, the total number of the pushing objects pushed to each client within 5 minutes and the total number of the first operations of all the users received by the pushing objects in the pushing information within the time period. Further, the information push accuracy of each push channel within 1 hour can be displayed with granularity of 5 minutes.
With further reference to fig. 4, as an implementation of the method shown in fig. 2, the present application provides an embodiment of an apparatus for determining information push accuracy, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be applied to various electronic devices in particular.
As shown in fig. 4, the apparatus 400 for determining information pushing accuracy of the present embodiment includes a first obtaining unit 401, a second obtaining unit 402, and a determining unit 403. The first obtaining unit 401 is configured to obtain push information pushed to a plurality of clients within a predetermined time period to determine the number of push objects included in the push information, where the push information includes list information of the push objects and push channel information of each push object. The second obtaining unit 402 is configured to obtain the number of times of a preset first operation performed on the push object by the user in a predetermined time period and the push channel information of each push object that accepts the first operation. The calculating unit 403 is configured to determine the information push accuracy corresponding to each push channel based on the number of push objects pushed to the plurality of clients within the predetermined time period and the number of times of the first operation on the push objects by the user.
In this embodiment, the apparatus 400 for determining information push accuracy further includes a push unit 404. The push unit 404 may acquire user information in response to an access request of a client to a predetermined server. The user information comprises user identification information and time information of an access request sent by the client. A push channel is then determined based on the user information. And finally, acquiring a push object from the determined push channel. And finally, the pushing unit generates pushing information based on the pushing object information and the pushing channel of the pushing object.
The pushing unit is further configured to determine a pushing channel according to a load balancing algorithm based on the user information. The load balancing algorithm may be, for example, round robin, random round robin, source address hashing, weighted round robin, weighted random round robin, minimum connection number, or the like.
The push channel information may further include push algorithm information. The push unit is further configured to determine a push channel according to a load balancing algorithm based on the user information and a push algorithm adopted by the determined push channel.
The first obtaining unit 401 of the apparatus 400 for determining information push accuracy may obtain push information pushed to each client within a predetermined time period from the pushing unit 404. And determining a push object contained in the push information pushed to the plurality of clients within a predetermined time period according to the push information. The first obtaining unit 401 may count the total number of all the push objects in the predetermined time period as the number of the push objects included in the push information in the predetermined time period.
In this embodiment, after the first obtaining unit 401 obtains the push objects pushed to each client within a predetermined time period, the second obtaining unit 402 may obtain a preset first operation performed on the push objects by a user of any client within the predetermined time period and channel information of each push object that receives the first operation. And counting the total times of the preset first operation executed by a plurality of users on the push object through the client.
In this embodiment, the determining unit 403 determines the information push accuracy rate corresponding to each push channel based on the number of push objects pushed to each client in the predetermined time period acquired by the first acquiring unit 401, the number of times of first operations on the push objects by the users of the plurality of clients in the predetermined time period acquired by the second acquiring unit 402 in the predetermined time period, and the push channel information of each push object accepting the first operations of the users.
The determining unit is further configured to determine an information push accuracy corresponding to each push algorithm in each push channel based on the number of push objects pushed to the plurality of clients within the predetermined time period and the number of times of the first operation on the push objects by the user.
Referring now to FIG. 5, a block diagram of a computer system 500 suitable for use in implementing a server according to embodiments of the present application is shown. The server shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Liquid Crystal Display (LCD) and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the method of the present application when executed by the Central Processing Unit (CPU) 501.
The present application also provides a non-transitory computer readable medium, which may be contained by the server described in the above embodiments; or may be present separately and not assembled into the device. The computer readable medium carries one or more programs which, when executed by the server, cause the server to: acquiring push information pushed to a plurality of clients within a preset time period to determine the number of push objects contained in the push information, wherein the push information comprises list information of the push objects and push channel information of each push object; acquiring the times of a preset first operation executed on a push object by a user in a preset time period and push channel information of each push object receiving the first operation; and determining the information push accuracy corresponding to each push channel based on the number of the push objects pushed to the plurality of clients within the preset time period and the number of times of the first operation of the user on the push objects.
It should be noted that the non-transitory computer readable medium can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a first acquisition unit, a second acquisition unit, and a determination unit. The names of these units do not in some cases constitute a limitation on the units themselves, and for example, the first acquisition unit may also be described as a "unit that acquires push information pushed to a plurality of clients within a predetermined period of time to determine a push object included in the push information".
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (13)
1. A method for determining information push accuracy, the method comprising:
acquiring push information pushed to a plurality of clients within a preset time period to determine push objects contained in the push information, wherein the push information comprises list information of the push objects and push channel information of each push object;
acquiring the times of preset first operations executed on the push objects by a user in the preset time period and push channel information of each push object receiving the first operations;
and determining the information push accuracy corresponding to each push channel based on the number of the push objects pushed to the plurality of clients in the preset time period and the number of times of first operation of the user on the push objects.
2. The method of claim 1,
before the obtaining push information pushed to a plurality of clients within a predetermined time period to determine the number of push objects contained in the push information, the method further includes:
responding to an access request of a client to a predetermined server, and acquiring user information, wherein the user information comprises user identification information and time information of the access request sent by the client;
determining a push channel based on the user information;
and acquiring the pushed object of the determined pushing channel and generating pushing information.
3. The method of claim 2, wherein determining a push channel based on the user information comprises:
and determining a pushing channel according to a load balancing algorithm based on the user information.
4. The method of claim 3, wherein the push channel information further comprises push algorithm information, and wherein determining a push channel based on the user information comprises:
and determining a pushing channel and a pushing algorithm adopted by the determined pushing channel according to a load balancing algorithm based on the user information.
5. The method of claim 4, wherein the determining the information push accuracy corresponding to each push channel based on the number of push objects pushed to the plurality of clients within the predetermined time period and the number of first operations on the push objects by the user further comprises:
and determining the information push accuracy corresponding to each push algorithm in each push channel based on the number of the push objects pushed to the plurality of clients in the preset time period and the number of times of first operation of the user on the push objects.
6. The method according to any one of claims 1 to 5, wherein:
the first operation is a selection operation on a push object or a transaction operation on the push object.
7. An apparatus for determining information push accuracy, the apparatus comprising:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is configured to acquire push information pushed to a plurality of clients within a predetermined time period so as to determine the number of push objects contained in the push information, and the push information comprises list information of the push objects and push channel information of each push object;
the second acquisition unit is configured to acquire the preset number of first operations executed on the push object by the user in the preset time period and the push channel information of each push object receiving the first operations;
and the determining unit is configured to determine the information push accuracy corresponding to each push channel based on the number of the push objects pushed to the plurality of clients within the predetermined time period and the number of times of the first operation of the user on the push objects.
8. The apparatus of claim 7, further comprising a pushing unit,
before obtaining push information pushed to a plurality of clients within a predetermined time period to determine the number of push objects contained in the push information, the push unit is configured to:
responding to an access request of a client to a predetermined server, and acquiring user information, wherein the user information comprises user identification information and time information of the access request sent by the client;
determining a push channel based on the user information;
and acquiring the pushed object of the determined pushing channel and generating pushing information.
9. The apparatus according to claim 8, wherein the pushing unit is further configured to:
and determining a pushing channel according to a load balancing algorithm based on the user information.
10. The apparatus according to claim 9, wherein the pushing unit is further configured to:
and determining a pushing channel and a pushing algorithm adopted by the determined pushing channel according to a load balancing algorithm based on the user information.
11. The apparatus of claim 10, wherein the determining unit is further configured to:
and determining the information push accuracy corresponding to each push algorithm in each push channel based on the number of the push objects pushed to the plurality of clients in the preset time period and the number of times of first operation of the user on the push objects.
12. A server, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-6.
13. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-6.
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| CN110347943A (en) * | 2019-05-31 | 2019-10-18 | 深圳壹账通智能科技有限公司 | Channel information processing method, device, storage medium and computer equipment |
| CN110427551B (en) * | 2019-07-01 | 2022-11-11 | 五八有限公司 | Information pushing method and device, electronic equipment and computer readable medium |
| CN111241393A (en) * | 2020-01-07 | 2020-06-05 | 贵阳货车帮科技有限公司 | Message pushing method and device, electronic equipment and readable storage medium |
| CN112187927A (en) * | 2020-09-29 | 2021-01-05 | 云账户技术(天津)有限公司 | Method and device for pushing channel selection |
| CN114244794B (en) * | 2021-12-13 | 2024-01-26 | 统信软件技术有限公司 | Timing task pushing method, computing device and readable storage medium |
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