CN113569178B - Method and device for optimizing external chain delivery based on user behavior analysis and electronic equipment - Google Patents
Method and device for optimizing external chain delivery based on user behavior analysis and electronic equipment Download PDFInfo
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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Abstract
The invention relates to the technical field of computers, in particular to a method, a device and electronic equipment for optimizing external chain delivery based on user behavior analysis, which comprise the following steps: collecting user behavior data and outer link visitor data; combining and relating the user behavior data and the external visitor data to an access page of a user to obtain user related data; cleaning the user associated data, extracting a complete behavior track of a user, and calculating the average time consumption of each node access on the complete behavior track of the user; and analyzing the complete behavior track of the user and the average time consumption of each node access to obtain an optimized node for optimizing the outer chain delivery. According to the invention, the optimizable nodes are analyzed in a mode of refining the user behavior track, so that the outer chain delivery is optimized in a mode of optimizing the nodes, and the delivery cost is reduced.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method, an apparatus, and an electronic device for optimizing outer chain delivery based on user behavior analysis.
Background
The outer link refers to a link for importing own website at other websites. Import links are a very important process for website optimization, and the quality of the import links (i.e., the weight of the page on which the import links are located) indirectly affects the weight of our website in the search engine. The outer chain is the blood of the internet, a kind of link. Without the links, the information is isolated and as a result we cannot see anything. One web site is difficult to reach, so that it is necessary to link to another web site, absorb the information that can be supplemented by the other web site, and link the quality of the external links instead of the quantity. The effect of the outer chain is not only to increase the weight of the website, but also to increase the ranking of a certain keyword. A high quality external link can bring good traffic to the web site. It is therefore important how to optimize the outer chain launch to reduce launch costs.
Disclosure of Invention
The invention provides a method, a device and electronic equipment for optimizing outer chain delivery based on user behavior analysis, which are used for optimizing outer chain delivery and reducing delivery cost.
The embodiment of the specification provides a method for optimizing out-link delivery based on user behavior analysis, which comprises the following steps:
collecting user behavior data and outer link visitor data;
combining and relating the user behavior data and the external visitor data to an access page of a user to obtain user related data;
cleaning the user associated data, extracting a complete behavior track of a user, and calculating the average time consumption of each node access on the complete behavior track of the user;
and analyzing the complete behavior track of the user and the average time consumption of each node access to obtain an optimized node for optimizing the outer chain delivery.
Preferably, the method further comprises:
Creating a real-time presentation page based on the user behavior data, the presentation page comprising: real-time visitor number, visitor map, visitor device distribution, real-time new and old visitor trend.
Preferably, the collecting user behavior data and the outbound visitor data includes:
user behavior data and outbound visitor data are collected based on Piwik custom buried events.
Preferably, the cleaning the user-associated data includes:
And cleaning the user associated data according to a preset data cleaning rule.
Preferably, the extracting the complete behavior trace of the user includes:
And drawing and obtaining the complete behavior track of the user according to the association relation in the cleaned user association data.
Preferably, the calculating the average time consumed by each node accessing on the complete behavior trace of the user includes:
And calculating the access time of each node on the complete behavior track of the user through a preset function to obtain the average time consumption of each node access.
The embodiment of the specification also provides a device for optimizing the outer chain delivery based on the user behavior analysis, which comprises:
The information collection module is used for collecting user behavior data and outer link visitor data;
The data association module is used for combining and associating the user behavior data and the external visitor data to an access page of a user to obtain user association data;
The track extraction module is used for cleaning the user associated data, extracting the complete behavior track of the user, and calculating the average time consumption of each node access on the complete behavior track of the user;
and the outer chain optimization module is used for obtaining an optimized node by analyzing the complete behavior track of the user and the average time consumption of each node access so as to optimize outer chain delivery.
Preferably, the method further comprises:
Creating a real-time presentation page based on the user behavior data, the presentation page comprising: real-time visitor number, visitor map, visitor device distribution, real-time new and old visitor trend.
An electronic device, wherein the electronic device comprises:
A processor and a memory storing computer executable instructions that, when executed, cause the processor to perform the method of any of the above.
A computer readable storage medium storing one or more programs which, when executed by a processor, implement the method of any of the preceding claims.
The beneficial effects are that:
According to the invention, the optimizable nodes are analyzed in a mode of refining the user behavior track, so that the outer chain delivery is optimized in a mode of optimizing the nodes, and the delivery cost is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
fig. 1 is a schematic diagram of a method for optimizing outer chain delivery based on user behavior analysis according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an apparatus for optimizing outer chain delivery based on user behavior analysis according to an embodiment of the present disclosure;
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a computer readable medium according to an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art. The same reference numerals in the drawings denote the same or similar elements, components or portions, and thus a repetitive description thereof will be omitted.
The features, structures, characteristics or other details described in a particular embodiment do not exclude that may be combined in one or more other embodiments in a suitable manner, without departing from the technical idea of the invention.
In the description of specific embodiments, features, structures, characteristics, or other details described in the present invention are provided to enable one skilled in the art to fully understand the embodiments. It is not excluded that one skilled in the art may practice the present invention without one or more of the specific features, structures, characteristics, or other details.
The drawings shown in the figures are merely exemplary and do not necessarily include all of the content and operations/steps nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The term "and/or" and/or "includes all combinations of any one or more of the associated listed items.
Referring to fig. 1, a schematic diagram of a method for optimizing out-link delivery based on user behavior analysis according to an embodiment of the present disclosure includes:
s101: collecting user behavior data and outer link visitor data;
In the preferred embodiment of the invention, the front end collects user behavior data, outbound visitor data and the like based on the Piwik custom buried point event, and a real-time traffic monitoring report is obtained through Piwik, so that the user behavior data, the outbound visitor data and the like are extracted from the real-time traffic monitoring report. And Piwik is used for counting the access information, access time length and the like of each page and carrying out flow monitoring in real time.
S102: combining and relating the user behavior data and the external visitor data to an access page of a user to obtain user related data;
in the preferred embodiment of the invention, the data association relation is extracted from the user behavior data and the outbound visitor data by combining and associating the user behavior data and the outbound visitor data to the access page of the user, and the user behavior track of the next step is refined according to the data association relation, so that the follow-up searching of the optimized node is facilitated, and the outbound throwing is optimized.
S103: cleaning the user associated data, extracting a complete behavior track of a user, and calculating the average time consumption of each node access on the complete behavior track of the user;
In the preferred embodiment of the invention, chaotic and missing data in the user associated data are cleaned, data with actual effects are left, then the data are refined to obtain the complete behavior track of the user, then the average time consumption of each node visit on the complete behavior track of the user is calculated, and the optimized nodes can be obtained by combining the analysis of the complete behavior track of the user and the average time consumption of each node visit, and the delivery capital is reduced by optimizing the nodes to optimize the delivery of the outer links.
S104: and analyzing the complete behavior track of the user and the average time consumption of each node access to obtain an optimized node for optimizing the outer chain delivery.
In the preferred embodiment of the invention, the optimized nodes can be obtained by combining the analysis of the complete behavior track of the user and the average time consumption of each node access, and the delivery capital is reduced by optimizing the nodes to optimize the delivery of the outer chain. For example: optimizing the time of receiving the short message verification code by the user, optimizing the number of short message verification code bits and the like, thereby reducing the delivery cost.
Further, the method further comprises the following steps:
Creating a real-time presentation page based on the user behavior data, the presentation page comprising: real-time visitor number, visitor map, visitor device distribution, real-time new and old visitor trend.
In the preferred embodiment of the invention, the real-time large disk is created according to the user behavior data, and comprises the real-time visitor number of pages, visitor maps, visitor equipment distribution, real-time new and old visitor trends and the like, so that yesterday average values and seven-day average values can be clearly compared, and the situation of macroscopic impression and delivery can be sensed.
Further, the collecting user behavior data and the out-link visitor data includes:
user behavior data and outbound visitor data are collected based on Piwik custom buried events.
In the preferred embodiment of the invention, the front end collects user behavior data, outbound visitor data and the like based on the Piwik custom buried point event, and a real-time traffic monitoring report is obtained through Piwik, so that the user behavior data, the outbound visitor data and the like are extracted from the real-time traffic monitoring report.
Further, the cleaning the user-associated data includes:
And cleaning the user associated data according to a preset data cleaning rule.
In the preferred embodiment of the invention, the data related to the user is cleaned through the data cleaning rule preset in the system, so that the data for refining the user behavior track is obtained, and the reliability of the user behavior track is ensured.
Further, the extracting the complete behavior track of the user includes:
And drawing and obtaining the complete behavior track of the user according to the association relation in the cleaned user association data.
In the preferred embodiment of the invention, the complete behavior track diagram of the user is drawn according to the association relation in the washed user association data, and the complete behavior track of the user can be intuitively observed through the complete behavior track diagram of the user.
Further, the calculating the average time consumption of each node access on the complete behavior track of the user includes:
And calculating the access time of each node on the complete behavior track of the user through a preset function to obtain the average time consumption of each node access.
In the preferred embodiment of the invention, the access time of each node on the complete behavior track of the user is calculated through the system function preset in the system, so that the average time consumption of each node on the complete behavior track of the user is obtained, and the optimized nodes can be obtained by combining the analysis of the complete behavior track of the user, and the delivery capital is reduced by optimizing the nodes to optimize the delivery of the external links.
In the preferred embodiment of the present invention, step 1, a front end collects user behavior data and visitor data based on Piwik custom buried point events; step 2, combining the visitor data and the behavior data and associating the visitor data and the behavior data with an access page of a user; step 3, cleaning the associated data and extracting a complete behavior link of the user and average time consumption of each node; step 4, analyzing the extracted complete behavior link of the user and the average time consumption of each node to obtain optimized nodes to improve the user experience and registration rate;
step 1 may refer to the above embodiment for "collect user behavior data, outbound visitor data; step 2 may refer to the description of "combining and associating the user behavior data and the outbound visitor data to the access page of the user" in the above embodiment, to obtain user associated data; step 3 may refer to the description of "cleaning the user-associated data in the above embodiment, extracting a complete behavior trace of the user, and calculating an average time consumption of each node access on the complete behavior trace of the user; "the description of" step 4 may refer to the analysis of the complete behavior trace of the user and the average time consumption of each node access in the above embodiment, so as to obtain an optimized node for optimizing out-link delivery. "description of the invention.
Fig. 2 is a schematic structural diagram of an apparatus for optimizing outer chain delivery based on user behavior analysis according to an embodiment of the present disclosure, where the apparatus includes:
the information collection module 201 collects user behavior data and outbound visitor data;
the data association module 202 combines and associates the user behavior data and the outbound visitor data to an access page of a user to obtain user association data;
The track extraction module 203 is used for cleaning the user associated data, extracting the complete behavior track of the user, and calculating the average time consumption of each node access on the complete behavior track of the user;
The out-link optimization module 204 obtains an optimized node by analyzing the complete behavior track of the user and the average time consumption of each node access, so as to optimize out-link delivery.
Further, the information collecting module 201 includes an information collecting sub-module for collecting user behavior data and outbound visitor data based on the Piwik custom buried point event.
Further, the track extraction module 203 further includes a data cleansing module, configured to cleansing the user-associated data according to a preset data cleansing rule; drawing and obtaining a complete behavior track of the user according to the association relation in the cleaned user association data; and calculating the access time of each node on the complete behavior track of the user through a preset function to obtain the average time consumption of each node access.
The functions of the apparatus according to the embodiments of the present invention have been described in the foregoing method embodiments, so that the descriptions of the embodiments are not exhaustive, and reference may be made to the related descriptions in the foregoing embodiments, which are not repeated herein.
Based on the same inventive concept, the embodiments of the present specification also provide an electronic device.
The following describes an embodiment of an electronic device according to the present invention, which may be regarded as a specific physical implementation of the above-described embodiment of the method and apparatus according to the present invention. Details described in relation to the embodiments of the electronic device of the present invention should be considered as additions to the embodiments of the method or apparatus described above; for details not disclosed in the embodiments of the electronic device of the present invention, reference may be made to the above-described method or apparatus embodiments.
Referring to fig. 3, a schematic structural diagram of an electronic device according to an embodiment of the present disclosure is provided. An electronic device 300 according to this embodiment of the present invention is described below with reference to fig. 3. The electronic device 300 shown in fig. 3 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 3, the electronic device 300 is embodied in the form of a general purpose computing device. Components of electronic device 300 may include, but are not limited to: at least one processing unit 310, at least one memory unit 320, a bus 330 connecting the different device components (including the memory unit 320 and the processing unit 310), a display unit 340, and the like.
Wherein the storage unit stores program code that is executable by the processing unit 310 such that the processing unit 310 performs the steps according to various exemplary embodiments of the invention described in the above processing method section of the present specification. For example, the processing unit 310 may perform the steps shown in fig. 1.
The memory unit 320 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) 3201 and/or cache memory 3202, and may further include Read Only Memory (ROM) 3203.
The storage unit 320 may also include a program/utility 3204 having a set (at least one) of program modules 3205, such program modules 3205 including, but not limited to: operating devices, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 330 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 300 may also communicate with one or more external devices 400 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 300, and/or any device (e.g., router, modem, etc.) that enables the electronic device 300 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 350. Also, electronic device 300 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 360. The network adapter 360 may communicate with other modules of the electronic device 300 via the bus 330. It should be appreciated that although not shown in fig. 3, other hardware and/or software modules may be used in connection with electronic device 300, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID devices, tape drives, data backup storage devices, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the exemplary embodiments described herein may be implemented in software, or may be implemented in software in combination with necessary hardware. Thus, the technical solution according to the embodiments of the present invention may be embodied in the form of a software product, which may be stored in a computer readable storage medium (may be a CD-ROM, a usb disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, or a network device, etc.) to perform the above-mentioned method according to the present invention. The computer program, when executed by a data processing device, enables the computer readable medium to carry out the above-described method of the present invention, namely: such as the method shown in fig. 1.
Referring to fig. 4, a schematic diagram of a computer readable medium according to an embodiment of the present disclosure is provided.
A computer program implementing the method shown in fig. 1 may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an apparatus, device, or means for electronic, magnetic, optical, electromagnetic, infrared, or semiconductor, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable storage medium may also be any readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution apparatus, device, or apparatus. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like 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 computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
In summary, the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components in accordance with embodiments of the present invention may be implemented in practice using a general purpose data processing device such as a microprocessor or Digital Signal Processor (DSP). The present invention can also be implemented as an apparatus or device program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
The above-described specific embodiments further describe the objects, technical solutions and advantageous effects of the present invention in detail, and it should be understood that the present invention is not inherently related to any particular computer, virtual device or electronic apparatus, and various general-purpose devices may also implement the present invention. The foregoing description of the embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (9)
1. The method for optimizing the outer chain delivery based on the user behavior analysis is characterized by comprising the following steps of:
Counting the access information and the access time length of each page based on Piwik custom buried point events, and carrying out flow monitoring in real time;
acquiring a real-time flow monitoring report, and collecting user behavior data and out-link visitor data from the real-time flow monitoring report;
combining and associating the user behavior data and the external visitor data to an access page of a user, and extracting a data association relationship to obtain user association data;
Cleaning the user associated data, drawing a complete behavior trace diagram of the user according to the association relation in the cleaned user associated data, extracting a complete behavior trace of the user through the complete behavior trace diagram of the user, and calculating the average time consumption of each node access on the complete behavior trace of the user;
and analyzing the complete behavior track of the user and the average time consumption of each node access to obtain an optimized node, and optimizing the time when the user receives the short message verification code and the number of short message verification code bits to realize the optimized external chain delivery.
2. The method for optimizing out-link delivery based on user behavior analysis of claim 1, further comprising:
Creating a real-time presentation page based on the user behavior data, the presentation page comprising: real-time visitor number, visitor map, visitor device distribution, real-time new and old visitor trend.
3. The method for optimizing out-link delivery based on user behavior analysis of claim 1, wherein the cleaning the user-associated data comprises:
And cleaning the user associated data according to a preset data cleaning rule.
4. The method for optimizing out-link delivery based on user behavior analysis of claim 1, wherein the refining the complete behavior trace of the user comprises:
And drawing and obtaining the complete behavior track of the user according to the association relation in the cleaned user association data.
5. The method for optimizing out-link delivery based on user behavior analysis of claim 1, wherein said calculating an average time-consuming access of each node on the complete behavior trace of the user comprises:
And calculating the access time of each node on the complete behavior track of the user through a preset function to obtain the average time consumption of each node access.
6. Device of optimizing outer chain release based on user behavior analysis, its characterized in that:
The information collection module is used for counting the access information and the access time length of each page based on Piwik custom buried point events and carrying out flow monitoring in real time;
acquiring a real-time flow monitoring report, and collecting user behavior data and out-link visitor data from the real-time flow monitoring report;
The data association module is used for combining and associating the user behavior data and the external visitor data to an access page of a user, extracting a data association relationship and obtaining user association data;
the track extraction module is used for cleaning the user associated data, drawing a complete behavior track graph of the user according to the association relation in the cleaned user associated data, extracting the complete behavior track of the user through the complete behavior track graph of the user, and calculating the average time consumption of each node access on the complete behavior track of the user;
and the external chain optimizing module is used for analyzing the complete behavior track of the user and the average time consumption of each node access to obtain an optimized node, and optimizing the external chain throwing by optimizing the time of the user receiving the short message verification code and optimizing the number of short message verification code bits.
7. The apparatus for optimizing out-of-chain delivery based on user behavior analysis of claim 6, further comprising:
Creating a real-time presentation page based on the user behavior data, the presentation page comprising: real-time visitor number, visitor map, visitor device distribution, real-time new and old visitor trend.
8. An electronic device, wherein the electronic device comprises:
a processor and a memory storing computer executable instructions that, when executed, cause the processor to perform the method of any of claims 1-5.
9. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-5.
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| CN101446979A (en) * | 2008-12-26 | 2009-06-03 | 北京科尔威视网络科技有限公司 | Method for dynamic hotspot tracking |
| CN106227832A (en) * | 2016-07-26 | 2016-12-14 | 浪潮软件股份有限公司 | Application method of Internet big data technology architecture in business analysis in enterprise |
| CN107846426B (en) * | 2016-09-18 | 2020-03-06 | 腾讯科技（深圳）有限公司 | Method and device for tracking user track in page access |
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