CN113569178A - Method and device for optimizing out-link delivery based on user behavior analysis and electronic equipment - Google Patents
Method and device for optimizing out-link delivery based on user behavior analysis and electronic equipment Download PDFInfo
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- CN113569178A CN113569178A CN202110811624.1A CN202110811624A CN113569178A CN 113569178 A CN113569178 A CN 113569178A CN 202110811624 A CN202110811624 A CN 202110811624A CN 113569178 A CN113569178 A CN 113569178A
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- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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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 link delivery based on user behavior analysis, wherein the method comprises the following steps: collecting user behavior data and external link visitor data; combining and associating the user behavior data and the external link visitor data to an access page of a user to obtain user association data; cleaning the user associated data, extracting a 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 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 external link delivery. The invention analyzes the optimizable nodes by refining the behavior track of the user, thereby optimizing the external link delivery by optimizing the nodes and reducing the delivery cost.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for optimizing out-link delivery based on user behavior analysis and electronic equipment.
Background
The out link is a link for importing the own website to another website. Importing links is a very important process for website optimization, and the quality of the imported links (i.e. the weight of the page where the imported links are located) indirectly affects the weight of the website in a search engine. The external link is the blood of the internet and is one of the links. Without a link, the information is isolated, and as a result, we see nothing. One website is very difficult to achieve, so that a link to another website is needed to absorb information which can be supplemented by other websites, and the quality of the link is not limited by the number of the links but by the quality of the links. The effect of the out-link 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 is a good way to bring traffic to the web site. It is therefore crucial how to optimize the outer chain launch to reduce launch costs.
Disclosure of Invention
The invention provides a method and a device for optimizing external link delivery based on user behavior analysis and electronic equipment, which are used for optimizing external link 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 external link visitor data;
combining and associating the user behavior data and the external link visitor data to an access page of a user to obtain user association data;
cleaning the user associated data, extracting a 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 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 external link delivery.
Preferably, 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 count, visitor map, visitor device distribution, real-time new and old visitor trend.
Preferably, the collecting user behavior data and out-link visitor data includes:
and collecting user behavior data and external link visitor data based on the Pwiki self-defined buried point event.
Preferably, the cleaning the user associated data includes:
and cleaning the user associated data according to a preset data cleaning rule.
Preferably, the extracting a complete behavior track of the user includes:
and drawing to obtain the complete behavior track of the user according to the association relation in the cleaned user association data.
Preferably, the calculating the average time spent by each node visit 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.
An embodiment of the present specification further provides a device for optimizing out-link delivery based on user behavior analysis, including:
the information collection module is used for collecting user behavior data and external link visitor data;
the data association module is used for combining and associating the user behavior data and the external link visitor data to an access page of a user to obtain user association data;
the track refining module is used for cleaning the user associated data, refining a 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 external link optimization 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 for optimizing external link delivery.
Preferably, 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 count, 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, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of the above.
The beneficial effects are that:
the invention analyzes the optimizable nodes by refining the behavior track of the user, thereby optimizing the external link delivery by optimizing the nodes and reducing the delivery cost.
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 application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic diagram illustrating a method for optimizing an external link 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 external link 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 provided in an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a computer-readable medium provided in an embodiment of the present specification.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. The exemplary embodiments, however, may 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 denote the same or similar elements, components, or parts in the drawings, and thus their repetitive description will be omitted.
Features, structures, characteristics or other details described in a particular embodiment do not preclude the fact that the features, structures, characteristics or other details may be combined in a suitable manner in one or more other embodiments in accordance with the technical idea of the invention.
In describing particular embodiments, the present invention has been described with reference to features, structures, characteristics or other details that are within the purview of one skilled in the art to provide a thorough understanding of the embodiments. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific features, structures, characteristics, or other details.
The diagrams depicted in the figures are exemplary only, and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order depicted. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
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 external link visitor data;
in a preferred embodiment of the invention, the user behavior data, the external link visitor data and the like are collected by the front end based on the self-defined buried point event of the Pwiki, and the real-time flow monitoring report is obtained through the Pwiki, so that the user behavior data, the external link visitor data and the like are extracted from the real-time flow monitoring report. The Pwiki is used for counting access information, access duration and the like of each page and monitoring flow in real time.
S102: combining and associating the user behavior data and the external link visitor data to an access page of a user to obtain user association data;
in a preferred embodiment of the invention, the data association relationship is extracted from the user behavior data and the external link visitor data in a mode of combining and associating the data with the access page of the user, and the user behavior track of the next step is refined according to the data association relationship, so that an optimization node is conveniently searched for subsequently to optimize external link delivery.
S103: cleaning the user associated data, extracting a complete behavior track of the user, and calculating the average time consumption of each node access on the complete behavior track of the user;
in a preferred embodiment of the invention, disordered and missing data in user associated data are cleaned, data with actual effects are left, the data are extracted to obtain a complete behavior track of a user, then average time consumption of each node visit on the complete behavior track of the user is calculated, optimizable nodes can be obtained by combining complete behavior track analysis of the user and average time consumption of each node visit, and the investment capital is reduced by optimizing the nodes to optimize external link investment.
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 external link delivery.
In the preferred embodiment of the invention, the optimizable nodes can be obtained by combining the complete behavior trajectory analysis 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 external link delivery. For example: the time of the user for receiving the short message verification code is optimized, the number of the short message verification codes is optimized, and the like, so that the putting cost is reduced.
Further, still include:
creating a real-time presentation page based on the user behavior data, the presentation page comprising: real-time visitor count, visitor map, visitor device distribution, real-time new and old visitor trend.
In a preferred embodiment of the invention, a real-time large disk is created according to user behavior data, and the real-time large disk comprises page real-time visitor numbers, visitor maps, visitor equipment distribution, real-time new and old visitor trends and the like, so that yesterday and seven-day average values can be compared at a glance, and the release condition can be macroscopically experienced.
Further, the collecting user behavior data and out-link visitor data includes:
and collecting user behavior data and external link visitor data based on the Pwiki self-defined buried point event.
In a preferred embodiment of the invention, the user behavior data, the external link visitor data and the like are collected by the front end based on the self-defined buried point event of the Pwiki, and the real-time flow monitoring report is obtained through the Pwiki, so that the user behavior data, the external link visitor data and the like are extracted from the real-time flow 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 associated with the user is cleaned through the data cleaning rule preset in the system to obtain the data used for refining the behavior track of the user subsequently, so that the reliability of the behavior track of the user is ensured.
Further, the refining the complete behavior track of the user comprises:
and drawing to obtain 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 trace diagram of the user is drawn according to the association relation in the cleaned user association data, and the complete behavior trace of the user can be visually observed through the complete behavior trace diagram of the user.
Further, the calculating an average time consumption of each node visit 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.
In a preferred embodiment of the invention, the access time of each node on the complete behavior track of the user is calculated by presetting a system function in the system to obtain the average time consumption of each node on the complete behavior track of the user for access, and the optimizable nodes can be obtained by combining the complete behavior track analysis of the user, and the external link release is optimized by optimizing the nodes to reduce the release capital.
In the preferred embodiment of the invention, step 1, the user behavior data and visitor data are collected based on the self-defined buried point event of Pwiki at the front end; step 2, combining and associating the visitor data and the behavior data to an access page of the user; step 3, cleaning the associated data and extracting a complete behavior link of the user and the average consumed time of each node; step 4, analyzing an extracted complete behavior link of the user and the average consumed time of each node to obtain nodes which can be optimized to improve user experience and registration rate;
step 1 may refer to the above embodiments for "collecting user behavior data, out-link visitor data; "step 2 may refer to" combine and associate the user behavior data and the external-link visitor data to the access page of the user to obtain user association data in the above embodiment; "in step 3, the above embodiment may be referred to" clean the user-associated data, extract a complete behavior trajectory of the user, and calculate an average time consumption of each node access on the complete behavior trajectory of the user; "step 4 may refer to the above embodiment to" obtain an optimized node by analyzing the complete behavior trajectory of the user and the average time consumption of each node visit, so as to optimize the external link delivery. "is described.
Fig. 2 is a schematic structural diagram of an apparatus for optimizing external link delivery based on user behavior analysis according to an embodiment of the present specification, where the apparatus includes:
the information collection module 201 is used for collecting user behavior data and external link visitor data;
the data association module 202 is used for combining and associating the user behavior data and the external link visitor data to an access page of a user to obtain user association data;
the track refining module 203 is used for cleaning the user associated data, refining a 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 204 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 for optimizing the outer chain delivery.
Further, the information collection module 201 includes an information collection submodule configured to collect user behavior data and external link visitor data based on a self-defined buried event of the Pwiki.
Further, the trajectory extraction module 203 further includes a data cleaning module, configured to clean the user-associated data according to a preset data cleaning rule; drawing to obtain 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 in the embodiment of the present invention have been described in the above method embodiments, so that reference may be made to the related descriptions in the foregoing embodiments for details that are not described in the present embodiment, and further details are not described herein.
Based on the same inventive concept, the embodiment of the specification further provides the electronic equipment.
In the following, embodiments of the electronic device of the present invention are described, which may be regarded as specific physical implementations for the above-described embodiments of the method and apparatus of the present invention. Details described in the embodiments of the electronic device of the invention should be considered supplementary to the embodiments of the method or apparatus described above; for details which are not disclosed in embodiments of the electronic device of the invention, reference may be made to the above-described embodiments of the method or the apparatus.
Fig. 3 is a schematic structural diagram of an electronic device provided in an embodiment of the present specification. An electronic device 300 according to this embodiment of the invention is described below with reference to fig. 3. The electronic device 300 shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 3, electronic device 300 is embodied in the form of a general purpose computing device. The 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 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 executable by the processing unit 310 to cause the processing unit 310 to perform the steps according to various exemplary embodiments of the present invention described in the above-mentioned processing method section of the present specification. For example, the processing unit 310 may perform the steps as shown in fig. 1.
The storage unit 320 may include readable media in the form of volatile storage units, such as a random access memory unit (RAM)3201 and/or a cache storage unit 3202, and may further include a read only memory unit (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: an operating device, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 300 may also communicate with one or more external devices 400 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 300, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 300 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 350. Also, the electronic device 300 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 360. Network adapter 360 may communicate with other modules of electronic device 300 via bus 330. It should be appreciated that although not shown in FIG. 3, other hardware and/or software modules may be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID devices, tape drives, and data backup storage devices, to name a few.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments of the present invention described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a computer-readable storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a computing device (which can be a personal computer, a server, or a network device, etc.) execute the above-mentioned method according to the present invention. The computer program, when executed by a data processing apparatus, enables the computer readable medium to implement the above-described method of the invention, namely: such as the method shown in fig. 1.
Fig. 4 is a schematic diagram of a computer-readable medium provided in an embodiment of the present disclosure.
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 may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor device, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, 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.
The computer readable storage medium may include a propagated data signal with 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 readable storage medium may also be any readable medium that is not a readable storage medium and 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 for aspects 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 and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, 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., through 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 embodiments in accordance with the invention may be implemented in practice using a general purpose data processing device such as a microprocessor or a Digital Signal Processor (DSP). The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
While the foregoing embodiments have described the objects, aspects and advantages of the present invention in further detail, it should be understood that the present invention is not inherently related to any particular computer, virtual machine or electronic device, and various general-purpose machines may be used to implement the present invention. The invention is not to be considered as limited to the specific embodiments thereof, but is to be understood as being modified in all respects, all changes and equivalents that come within the spirit and scope of the invention.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. The method for optimizing external link delivery based on user behavior analysis is characterized by comprising the following steps:
collecting user behavior data and external link visitor data;
combining and associating the user behavior data and the external link visitor data to an access page of a user to obtain user association data;
cleaning the user associated data, extracting a 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 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 external link delivery.
2. The method for optimizing out-link impressions 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 count, 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 any of claims 1-2, wherein the collecting user behavior data, out-link guest data, comprises:
and collecting user behavior data and external link visitor data based on the Pwiki self-defined buried point event.
4. The method for optimizing out-link impressions based on user behavior analysis of any one of claims 1-3, wherein the cleansing of the user-associated data includes:
and cleaning the user associated data according to a preset data cleaning rule.
5. The method for optimizing out-link delivery based on user behavior analysis according to any one of claims 1-4, wherein the refining a complete behavior trajectory of a user comprises:
and drawing to obtain the complete behavior track of the user according to the association relation in the cleaned user association data.
6. The method for optimizing out-link impression based on user behavior analysis according to any of claims 1-5, wherein calculating an average time consumption of each node visit on a complete behavior trajectory of a 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.
7. Device based on user's behavioral analysis optimizes outer chain and puts in, its characterized in that:
the information collection module is used for collecting user behavior data and external link visitor data;
the data association module is used for combining and associating the user behavior data and the external link visitor data to an access page of a user to obtain user association data;
the track refining module is used for cleaning the user associated data, refining a 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 external link optimization 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 for optimizing external link delivery.
8. The apparatus for optimizing out-link impressions based on user behavior analysis of claim 7, further comprising:
creating a real-time presentation page based on the user behavior data, the presentation page comprising: real-time visitor count, visitor map, visitor device distribution, real-time new and old visitor trend.
9. 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 1-6.
10. 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 1-6.
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