CN110135911A - Ad data statistical method, system, medium and electronic equipment - Google Patents
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- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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Abstract
The present invention provides a kind of ad data statistical method, system, medium and electronic equipment.The described method includes: load server-side launches Webpage according to the pre-generated advertisement buried a little of treaty rule；User is collected by statistics component and launches the statistical data that Webpage operates at least one advertisement in the advertisement, and the statistical data includes all click datas that user is directed to advertisement, request data and exposure data；Judge the length of the statistical data amount；When the length of the statistical data amount is more than single request maximum link length, cutting section is carried out to the statistical data, generates a single request queue；The statistical data is successively sent to server-side according to the single request queue.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an advertisement data statistical method, an advertisement data statistical system, an advertisement data statistical medium and electronic equipment.
Background
The major service of the eight-ring media is divided into an intra-station (pig eight-ring network) service and an extra-station service, wherein the common user behavior statistics adopted in the intra-station service only collects the click data and the skip operation of the user. However, the data contained in the operation is relatively general, and the analysis and operation requirements of the advertisement media on the targeted data, such as advertisement related data, click data, request data, exposure data, deduction statistical data and the like, cannot be met, and the data needs to be additionally added.
Therefore, in long-term research and development, the inventors have conducted a great deal of research and study on statistics of advertisement data, and have proposed an advertisement data statistical method to solve one of the above technical problems.
Disclosure of Invention
An object of the present invention is to provide an advertisement data statistical method, system, medium, and electronic device, which can solve at least one of the above-mentioned technical problems. The specific scheme is as follows:
according to the specific implementation manner of the invention, in a first aspect, the invention provides an advertisement data statistical method, which comprises the following steps: the loading server generates advertisement delivery webpage pages of embedded points in advance according to an agreed rule; collecting statistical data of at least one advertisement operated by a user on the advertisement putting webpage through a statistical component, wherein the statistical data comprises all click data, request data and exposure data of the user aiming at the advertisement; judging the length of the statistical data quantity; when the length of the statistical data amount exceeds the maximum link length of a single request, cutting and segmenting the statistical data to generate a single request queue; and sequentially sending the statistical data to a server according to the single request queue.
According to a second aspect, the present invention provides an advertisement data statistics system, including: the loading module is used for loading an advertisement delivery webpage of a pre-generated buried point by the server according to an agreed rule; the statistical module is used for collecting statistical data of at least one advertisement operated by a user on the advertisement delivery webpage through a statistical component, wherein the statistical data comprises all click data, request data and exposure data of the user aiming at the advertisement; the judging module is used for judging the length of the statistical data quantity; the dividing module is used for dividing and dividing the statistical data to generate a single request queue when the length of the statistical data exceeds the maximum link length of the single request; and the sending module is used for sequentially sending the statistical data to a server according to the single request queue.
According to a third aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the advertisement data statistics method as described in any one of the above.
According to a fourth aspect of the present invention, there is provided an electronic apparatus including: one or more processors; a storage device to store one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the advertisement data statistics method as any one of the above.
Compared with the prior art, the scheme of the embodiment of the invention realizes that all advertisements, no matter synchronous or asynchronous loading, can accurately collect statistical data of various dimensions under the condition of only needing to do a small amount of point burying work in the early period, completely does not influence the normal browsing experience of a user, saves the resource occupation, and well meets the requirements of subsequent analysis and operation.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 illustrates a flow diagram of a method for advertisement data statistics in accordance with an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for a server to pre-generate a buried point according to an agreed rule according to an embodiment of the present invention;
FIG. 3 is a block diagram of an advertisement statistics system according to an embodiment of the present invention;
FIG. 4 shows a schematic structural diagram of a server according to an embodiment of the invention;
FIG. 5 shows a schematic structural diagram of an electronic device according to an embodiment of the invention;
fig. 6 shows a schematic diagram of an electronic device connection structure according to an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and "a plurality" typically includes at least two.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used to describe … … in embodiments of the present invention, these … … should not be limited to these terms. These terms are used only to distinguish … …. For example, the first … … can also be referred to as the second … … and similarly the second … … can also be referred to as the first … … without departing from the scope of embodiments of the present invention.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that an article or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such article or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in the article or device in which the element is included.
Example 1
As shown in fig. 1, an embodiment of the present invention provides an advertisement data statistics method, which includes the following steps:
and S1, the loading server generates the advertisement delivery webpage of the embedded point in advance according to the agreed rule.
Specifically, as shown in fig. 2, the step of generating the buried point in advance by the server according to the agreed rule includes:
and S11, acquiring the encrypted character string corresponding to the advertisement delivery data of the user. After a user submits a single advertisement putting plan through a putting system, the putting system generates an encrypted character string for the single advertisement putting plan. In this embodiment, the advertisements placed on the web page are all from the in-station placement of the eight-ring media agency.
S12, the encrypted character string is placed on the page element of the advertisement position to form a self-defined attribute, namely, a buried point is generated. Specifically, in the early stage of advertisement delivery, the server acquires advertisement delivery data of a user in the delivery system, and places a corresponding encrypted character string on a page element of the advertisement position as a custom attribute, that is, a buried point is arranged on a webpage to be delivered with an advertisement, for example, the buried point is in a data-x format, where x is a predetermined character, and the character may be a letter, a number, or the like. The character x represents a type of advertisement, the corresponding character x being different for different advertisements.
And S2, collecting statistical data of at least one advertisement operated by the user on the advertisement putting webpage through a statistical component, wherein the statistical data comprises all click data, request data and exposure data of the user aiming at the advertisement.
Specifically, the statistical component automatically operates after a webpage page for delivering the advertisement is loaded, and the statistical data collected by the statistical component is the buried point data of the advertisement corresponding to the webpage page position, namely the custom attribute. In this embodiment, the statistical component is introduced by the common front-end component system of the pig ring network on the webpage.
The process of the statistics component collecting user request data for advertisements includes: when a user enters an advertisement delivery webpage, triggering statistics of advertisement request data; and the statistical component collects all advertisement data currently requested by the user according to the generated buried point. Further, the request data also comprises advertisement request data loaded asynchronously in the process of counting exposure data.
The process of the statistics component collecting user exposure data for advertisements comprises: when the user rolls the window, the statistical component judges whether a single advertisement appears in the browser window; and when the single advertisement appears, collecting the single advertisement as exposure statistics of the advertisement. Specifically, while counting exposure data, the counting component also checks whether there is a new asynchronously loaded advertisement, and counts the advertisement requests for subsequent loads. In order to prevent each advertisement from being counted only once when counting request data and exposure data, the counting component is provided with a repeated collection prevention mechanism.
The process of the statistics component collecting click data of the user for the advertisement comprises: if a user is interested in a particular advertisement and clicks on the advertisement, the advertisement is collected as click statistics.
S3, judging the length of the statistical data quantity;
and S4, when the length of the statistical data quantity exceeds the maximum link length of the single request, cutting and segmenting the statistical data to generate a single request queue.
Specifically, after all the statistical data are collected, all the statistical data form a request entry, the statistical component judges the length of the parameter in advance, if the length of the parameter exceeds the maximum single request link length limited by the browser, the parameter is divided until the condition of the single request link length is met, at this time, a single request queue is generated after the division, the single request queue comprises a plurality of single requests, and each single request comprises at least one advertisement statistical data. In this embodiment, the single request includes statistical data of a plurality of advertisements, which can save resources.
And S5, sequentially sending the statistical data to the server according to the single request queue.
Specifically, the statistical data are sequentially sent to the server according to the sequence of the single requests in the single request queue. After receiving the request, the server analyzes the buried points in the statistical data to obtain an encrypted character string, and each advertisement to be delivered generates an encrypted character string, so that the relevant information of the advertisement to be delivered can be obtained through the encrypted character string, and the advertisement to be delivered is analyzed and stored.
The advertisement data statistical method provided by the embodiment of the invention can accurately collect statistical data of various dimensions for all advertisements no matter synchronous or asynchronous loading is carried out under the condition that only a small amount of embedded points are needed in the early period, and can completely not influence the normal browsing experience of users, simultaneously save the resource occupation and well meet the requirements of subsequent analysis and operation.
Example 2
As shown in fig. 3, an embodiment of the present invention provides an advertisement data statistics system 300, where the system 300 includes: the system comprises a loading module 310, a counting module 320, a judging module 330, a dividing module 340 and a sending module 360.
The loading module 310 is configured to load an advertisement delivery webpage in which a server generates a site in advance according to an agreed rule. Specifically, referring to fig. 4, the server 400 includes:
the obtaining module 410 is configured to obtain an encrypted character string corresponding to advertisement delivery data of a user. After the user submits the single advertisement delivery plan through the delivery system, the delivery system generates an encrypted character string for the single advertisement delivery plan, and the server 400 obtains the encrypted character string. In this embodiment, the advertisements placed on the web page are all from the in-station placement of the eight-ring media agency.
The placing module 420 is configured to place the encrypted character string on a page element of the advertisement position to form a custom attribute, that is, to generate a buried point. Specifically, in the early stage of advertisement delivery, the server 400 obtains advertisement delivery data of the user in the delivery system, and places the corresponding encrypted character string on the page element of the advertisement position as a custom attribute, that is, the placement module 420 sets a buried point on the webpage to be delivered with the advertisement, for example, the buried point is in a data-x format, where x is a predetermined character, and the character may be a letter, a number, or the like. The character x represents a type of advertisement, the corresponding character x being different for different advertisements.
The statistic module 320 is configured to collect, through a statistic component, statistic data of at least one advertisement operated by a user on the advertisement delivery webpage, where the statistic data includes all click data, request data, and exposure data of the user for the advertisement. The statistical component automatically operates after the webpage page for delivering the advertisement is loaded, and the statistical data collected by the statistical module 320 through the statistical component are the buried point data of the advertisement corresponding to the webpage page position, namely the custom attribute. In this embodiment, the statistical component is introduced by the common front-end component system of the pig ring network on the webpage.
The process of the statistics module 320 collecting user request data for advertisements includes: when a user enters an advertisement delivery webpage, triggering statistics of advertisement request data; and the statistical component collects all advertisement data currently requested by the user according to the generated buried point. Further, the request data also comprises advertisement request data loaded asynchronously in the process of counting exposure data.
The process of the statistics module 320 collecting the exposure data of the user for the advertisement includes: when the user rolls the window, the statistical component judges whether a single advertisement appears in the browser window; and when the single advertisement appears, collecting the single advertisement as exposure statistics of the advertisement. Specifically, while counting exposure data, the counting component also checks whether there is a new asynchronously loaded advertisement, and counts the advertisement requests for subsequent loads. In order to prevent each advertisement from being counted only once when the request data and the exposure data are counted, a repeated collection prevention mechanism is arranged in the counting module.
The process of the statistics module 320 collecting click data of the user for the advertisement includes: if a user is interested in a particular advertisement and clicks on the advertisement, the advertisement is collected as click statistics.
The judging module 330 is configured to judge the length of the statistical data amount;
the dividing module 340 is configured to, when the length of the statistical data amount exceeds the maximum link length of a single request, divide and divide the statistical data into segments to generate a single request queue. Specifically, after the statistics module 320 collects all the statistics data, all the statistics data form a request entry to be transmitted to the judgment module 330, the judgment module 330 may judge the parameter length in advance, if the maximum single request link length limited by the browser is exceeded, the segmentation module 340 segments the parameter until a condition of the single request link length is satisfied, at this time, the segmentation module 340 may generate a single request queue, where the single request queue includes a plurality of single requests, and each single request includes at least one advertisement statistics data. In this embodiment, the single request includes statistical data of a plurality of advertisements, which can save resources.
The sending module 360 is configured to send the statistical data to the server in sequence according to the single request queue. Specifically, the sending module sends the statistical data to the server in sequence according to the sequence of the single requests in the single request queue. After receiving the request, the server analyzes the buried points in the statistical data to obtain an encrypted character string, and each advertisement to be delivered generates an encrypted character string, so that the relevant information of the advertisement to be delivered can be obtained through the encrypted character string, and the advertisement to be delivered is analyzed and stored.
The advertisement data statistical system provided by the embodiment of the invention can accurately collect statistical data of various dimensions for all advertisements no matter synchronous or asynchronous loading is carried out under the condition that only a small amount of embedded points are needed in the early period, and the normal browsing experience of a user is not influenced, meanwhile, the resource occupation is saved, and the requirements of subsequent analysis and operation are well met.
Example 3
As shown in fig. 5, the present embodiment provides an electronic device, which is used in an intelligent matching method for a fiscal platform, and the electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the one processor to cause the at least one processor to:
the loading server generates advertisement delivery webpage pages of embedded points in advance according to an agreed rule;
collecting statistical data of at least one advertisement operated by a user on the advertisement putting webpage through a statistical component, wherein the statistical data comprises all click data, request data and exposure data of the user aiming at the advertisement;
judging the length of the statistical data quantity;
when the length of the statistical data amount exceeds the maximum link length of a single request, cutting and segmenting the statistical data to generate a single request queue;
and sequentially sending the statistical data to a server according to the single request queue.
Example 4
The embodiment of the disclosure provides a nonvolatile computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions can execute the invoice authenticity checking method in any method embodiment.
Example 5
Referring now to FIG. 6, a block diagram of an electronic device 600 suitable for use in implementing embodiments of the present disclosure is shown. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 6, electronic device 600 may include a processing means (e.g., central processing unit, graphics processor, etc.) 601 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 600 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
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 via the communication means 609, or may be installed from the storage means 608, or may be installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure 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 disclosure, 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 contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either 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: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
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 disclosure. 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 disclosure may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation of the unit itself, for example, the first retrieving unit may also be described as a "unit for retrieving at least two internet protocol addresses".
Claims (10)
1. An advertisement data statistical method, comprising:
the loading server generates advertisement delivery webpage pages of embedded points in advance according to an agreed rule;
collecting statistical data of at least one advertisement operated by a user on the advertisement putting webpage through a statistical component, wherein the statistical data comprises all click data, request data and exposure data of the user aiming at the advertisement;
judging the length of the statistical data quantity;
when the length of the statistical data amount exceeds the maximum link length of a single request, cutting and segmenting the statistical data to generate a single request queue;
and sequentially sending the statistical data to a server according to the single request queue.
2. The method of claim 1, wherein the server pre-generates the buried point according to an agreed rule, comprising:
acquiring an encrypted character string corresponding to advertisement delivery data of a user;
and placing the encrypted character string on the page element of the advertisement position to form a self-defined attribute, namely generating a buried point.
3. The method of claim 1, wherein the statistics component collects user request data for advertisements, comprising:
when a user enters an advertisement delivery webpage, triggering statistics of advertisement request data;
and the statistical component collects all advertisement data currently requested by the user according to the generated buried point.
4. The method of claim 3, wherein the request data further comprises advertisement request data loaded asynchronously during statistical exposure data.
5. The method of claim 1, wherein the statistics component collects exposure data of users for advertisements, comprising:
when the user rolls the window, the statistical component judges whether a single advertisement appears in the browser window;
and when the single advertisement appears, collecting the single advertisement as exposure statistics of the advertisement.
6. The method of claim 1, wherein the single request queue comprises a plurality of single requests, each single request comprising statistics of at least one advertisement.
7. The method of claim 1, wherein after the statistical data is sent to the server in sequence according to the single request queue, the server parses the statistical data, and performs analysis and storage.
8. An advertisement data statistics system, comprising:
the loading module is used for loading an advertisement delivery webpage of a pre-generated buried point by the server according to an agreed rule;
the statistical module is used for collecting statistical data of at least one advertisement operated by a user on the advertisement delivery webpage through a statistical component, wherein the statistical data comprises all click data, request data and exposure data of the user aiming at the advertisement;
the judging module is used for judging the length of the statistical data quantity;
the dividing module is used for dividing and dividing the statistical data to generate a single request queue when the length of the statistical data exceeds the maximum link length of the single request;
and the sending module is used for sequentially sending the statistical data to a server according to the single request queue.
9. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method according to any one of claims 1 to 7.
10. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to carry out the method of any one of claims 1 to 7.
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| CN201910411133.0A CN110135911A (en) | 2019-05-16 | 2019-05-16 | Ad data statistical method, system, medium and electronic equipment |
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| CN201910411133.0A CN110135911A (en) | 2019-05-16 | 2019-05-16 | Ad data statistical method, system, medium and electronic equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111209481A (en) * | 2020-01-10 | 2020-05-29 | 京东数字科技控股有限公司 | Data exposure method, device, electronic equipment and computer readable medium |
| CN111401934A (en) * | 2020-02-21 | 2020-07-10 | 北京值得买科技股份有限公司 | Distributed advertisement statistical method and device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107515865A (en) * | 2016-06-15 | 2017-12-26 | 北京京东尚科信息技术有限公司 | Page data click volume statistical method and device |
| CN108156006A (en) * | 2016-12-05 | 2018-06-12 | 阿里巴巴集团控股有限公司 | One kind buries point data report method, device and electronic equipment |
-
2019
- 2019-05-16 CN CN201910411133.0A patent/CN110135911A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107515865A (en) * | 2016-06-15 | 2017-12-26 | 北京京东尚科信息技术有限公司 | Page data click volume statistical method and device |
| CN108156006A (en) * | 2016-12-05 | 2018-06-12 | 阿里巴巴集团控股有限公司 | One kind buries point data report method, device and electronic equipment |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111209481A (en) * | 2020-01-10 | 2020-05-29 | 京东数字科技控股有限公司 | Data exposure method, device, electronic equipment and computer readable medium |
| CN111401934A (en) * | 2020-02-21 | 2020-07-10 | 北京值得买科技股份有限公司 | Distributed advertisement statistical method and device |
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