WO2020037909A1

WO2020037909A1 - Log-based resource adjustment method, equipment, storage medium and device

Info

Publication number: WO2020037909A1
Application number: PCT/CN2018/122803
Authority: WO
Inventors: 魏云鹏; 袁小伟; 祁明远
Original assignee: 平安科技（深圳）有限公司
Priority date: 2018-08-21
Filing date: 2018-12-21
Publication date: 2020-02-27
Also published as: CN109688184B; CN109688184A

Abstract

Disclosed by the present application are a log-based resource adjustment method, equipment, storage medium and device, the method comprising: collecting an access log generated by a statistic-compiling server, and extracting from the access log uniform resource locator information for multiple user requests; extracting click rates of each user request from the uniform resource locator information, sorting the user requests according to the click rates from the largest to the smallest, and obtaining a request sorting list; determining user requests corresponding to click rates which are ranked ahead of a first preset number in the request sorting list as hotspot requests; and obtaining the hotspot page location of the hotspot requests, and adjusting the hotspot page position to a preset conspicuous area of a current page. By means of the click rates of user requests extracted from the uniform resource locator information in the access log and adjusting the position of a requested page with a large amount of clicks to a preset conspicuous area of a current page, the position of the requested page is more in line with behavioral needs of a user, and the user experience is thus improved.

Description

Log-based resource adjustment method, device, storage medium and device Ranch

This application claims the priority of a Chinese patent application filed on August 21, 2018 with the Chinese Patent Office, application number 201810952260.7, and the invention name "log-based resource adjustment method, device, storage medium and device", all of which passed Citations are incorporated in the application.

Technical field

The present application relates to the technical field of network resource adjustment, and in particular, to a log-based resource adjustment method, device, storage medium, and device.

Background technique

At present, the page layout of each page level in the website may not be optimal, and the resources that the user is interested in may not be in a conspicuous position. It takes time for the user to find it, which leads to a poor user experience. In the prior art, most websites use heat maps to perform the website. Hotspot analysis requires JavaScript code to be implemented in the foreground, which increases server load and lacks a convenient hotspot analysis method. Therefore, how to perform a hotspot analysis to optimize the location distribution of resources in a webpage is a technical problem that needs to be solved urgently.

The above content is only used to assist in understanding the technical solution of the present application, and does not mean that the above content is prior art.

Summary of the Invention

The main purpose of this application is to provide a log-based resource adjustment method, device, storage medium and device, which aims to solve the technical problem of how to optimize the position distribution of resources in a webpage through hot spot analysis in the prior art.

To achieve the above object, the present application provides a log-based resource adjustment method. The log-based resource adjustment method includes the following steps:

Collect an access log generated by the statistics server, and extract uniform resource locator information requested by multiple users from the access log;

Calculating the number of clicks requested by each user according to the uniform resource locator information, sorting each user request according to the number of clicks, and obtaining a request sort list;

Identifying the first preset number of user requests in the request ranking list as hotspot requests;

Obtain the hotspot page position requested by the hotspot, and adjust the hotspot page position to a preset prominent area of the current page.

In addition, in order to achieve the above object, the present application also proposes a log-based resource adjustment device. The log-based resource adjustment device includes a memory, a processor, and a processor that is stored on the memory and can run on the processor. The log-based resource adjustment readable instruction is configured to implement the steps of the log-based resource adjustment method as described above. In addition, in order to achieve the above-mentioned object, the present application also proposes a storage medium storing a log-based resource adjustment readable instruction stored on the storage medium, and the log-based resource adjustment readable instruction is executed by a processor to achieve the above. Steps of the log-based resource tuning method described in this article.

In addition, in order to achieve the foregoing object, the present application also proposes a log-based resource adjustment apparatus, where the log-based resource adjustment apparatus includes:

An extraction module, configured to collect an access log generated by the statistics server, and extract uniform resource locator information requested by multiple users from the access log;

A sorting module, configured to calculate a click amount requested by each user according to the uniform resource locator information, sort each user request according to the click amount, and obtain a request sort list;

A determining module, configured to identify the first preset number of user requests in the request ranking list as hotspot requests;

An adjustment module is configured to obtain a hotspot page position requested by the hotspot, and adjust the hotspot page position to a preset prominent area of a current page.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic structural diagram of a log-based resource adjustment device for a hardware operating environment according to the solution of the embodiment of the present application;

2 is a schematic flowchart of a first embodiment of a log-based resource adjustment method of the present application;

3 is a schematic flowchart of a second embodiment of a log-based resource adjustment method of the present application;

4 is a schematic flowchart of a third embodiment of a log-based resource adjustment method of the present application;

FIG. 5 is a structural block diagram of a first embodiment of a log-based resource adjustment apparatus of the present application.

The implementation, functional features and advantages of the purpose of this application will be further described with reference to the embodiments and the drawings.

detailed description

It should be understood that the specific embodiments described herein are only used to explain the application, and are not used to limit the application.

Referring to FIG. 1, FIG. 1 is a schematic structural diagram of a log-based resource adjustment device in a hardware operating environment according to an embodiment of the present application.

As shown in FIG. 1, the log-based resource adjustment device may include: a processor 1001, such as a central processing unit (Central Processing Unit (CPU), communication bus 1002, user interface 1003, network interface 1004, and memory 1005. The communication bus 1002 is used to implement connection and communication between these components. The user interface 1003 may include a display screen. The optional user interface 1003 may further include a standard wired interface and a wireless interface. The wired interface of the user interface 1003 may be a USB interface in this application. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WIreless-FIdelity (WI-FI) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory (RAM) memory, or non-volatile memory Memory (NVM), such as disk storage. The memory 1005 may optionally be a storage device independent of the foregoing processor 1001.

Those skilled in the art can understand that the structure shown in FIG. 1 does not constitute a limitation on the log-based resource adjustment device, and may include more or fewer components than shown in the figure, or combine some components, or different components. Layout.

As shown in FIG. 1, the memory 1005 identified as a computer storage medium may include an operating system, a network communication module, a user interface module, and a log-based resource adjustment readable instruction.

In the log-based resource adjustment device shown in FIG. 1, the network interface 1004 is mainly used to connect to a background server and perform data communication with the background server; the user interface 1003 is mainly used to connect to a user device; and the log-based resource adjustment The device invokes the log-based resource adjustment readable instruction stored in the memory 1005 through the processor 1001, and executes the log-based resource adjustment method provided by the embodiment of the present application.

Based on the above hardware structure, an embodiment of the log-based resource adjustment method of the present application is proposed.

Referring to FIG. 2, FIG. 2 is a schematic flowchart of a first embodiment of a log-based resource adjustment method of the present application, and a first embodiment of a log-based resource adjustment method of the present application is proposed.

In a first embodiment, the log-based resource adjustment method includes the following steps:

Step S10: Collect an access log generated by the statistics server, and extract uniform resource locator information requested by multiple users from the access log.

It should be understood that the execution subject of this embodiment is the log-based resource adjustment device, where the log-based resource adjustment device may be an electronic device such as a personal computer or a server. First, build a log collection platform based on the ELK architecture. ELK is an abbreviation of three open source software, which means: Elasticsearch, Logstash, Kibana. The log collection platform can periodically collect the access logs generated by the statistics server. The access logs The user requested Uniform Resource Locator (Uniform Resource Locator (URL) information is a concise representation of the location and access method of resources that can be obtained from the Internet, and is the address of standard resources on the Internet. Every file on the Internet has a unique URL, which contains information indicating the location of the file and how the browser should handle it.

Step S20: Calculate the click amount requested by each user according to the uniform resource locator information, sort each user request according to the click amount, and obtain a request ranking list.

It can be understood that the uniform resource locator information includes: a single page size accessed by each user requesting a corresponding uniform resource locator, the same total page size accessed by the uniform resource locator, and various uniform resources. Information such as the total time and total page size consumed by locator access. By counting the number of URLs corresponding to each user request, you can determine which page clicks the user has made. Add up the number of the same operation to calculate each user request. The number of clicks, the greater the number of user requests, the higher the user ’s attention. Each user request in the request queue list is sorted according to the number of clicks, and the corresponding user ’s attention is also From high to low.

Step S30: The first preset number of user requests in the request ranking list are identified as hotspot requests.

It should be noted that there may be only a few functions with high user attention, that is, the number of hotspot requests will not be large. The first preset number can be set according to analysis needs. If the function is ranked in the first three positions, the first preset number may be set to three. The first preset number of user requests that are ranked first in the request queuing list are functions of the first preset number of users that are ranked in the front of the user ’s attention, so the first A preset number of user requests are identified as the hotspot requests. The hotspot request can be analyzed to grasp the behavior characteristics and preferences of the user.

Step S40: Obtain the hotspot page position requested by the hotspot, and adjust the hotspot page position to a preset prominent area of the current page.

It should be understood that the current page is the page where the function corresponding to the hotspot request is located. The current page may be divided into multiple regions in advance, and each region is set with a different visibility level according to user habits. The preset conspicuous area is the area with the highest conspicuous level, and it can be determined whether the position of the hot page is in the preset conspicuous area; if not, the position of the hot page is adjusted to the preset conspicuous area of the current page Area, if so, no adjustment is required.

In the first embodiment, the access log generated by the statistics server is collected, and the uniform resource locator information requested by multiple users is extracted from the access log, and the click amount requested by each user is extracted from the uniform resource locator information. User requests are sorted according to the clicks from large to small to obtain a request sort list, and the user requests corresponding to the first preset number of clicks ranked first in the request sort list are regarded as hotspot requests, without being in the foreground Add JavaScript code to achieve log-based hotspot analysis conveniently and efficiently; obtain the hotspot page position requested by the hotspot, and adjust the hotspot page position to a preset prominent area of the current page, making the requested page position more consistent with the user Behavioral needs to enhance user experience.

Referring to FIG. 3, FIG. 3 is a schematic flowchart of a second embodiment of the log-based resource adjustment method of the present application. Based on the first embodiment shown in FIG. 2 above, a second embodiment of the log-based resource adjustment method of the present application is proposed.

In a second embodiment, the step S20 includes:

Step S201: Acquire the requested page level requested by each user.

Understandably, a website usually includes multiple pages at the requested page level, and each page at the requested page level has a corresponding function. Clicking a function corresponds to a user request, and each user request may involve multiple request pages. In the analysis of hotspot requests for a page at a hierarchical level, the user requests of pages at the same page level can be compared to obtain the hotspot request at the requested page level.

Step S202: Calculate the number of clicks requested by each user according to the uniform resource locator information, sort user requests at the same requested page level according to the clicks from large to small, and obtain the requested page-level correspondence. Sorted list of requests.

It should be understood that, in order to more accurately analyze hotspot requests, each user request may be classified and compared according to the requested page level, thereby obtaining hotspot requests corresponding to each of the requested page levels. The user request with a larger number of clicks indicates that the user has a higher degree of attention. The user requests at the same page level of the request are classified as a category, and the corresponding user requests are sorted according to the clicks from large to small. Obtain a sorted list of requests corresponding to the requested page level. Each user request in the request queuing list is sorted according to the number of hits, and the corresponding user ’s attention is also high to low.

For example, there are three levels of the requested pages: A, B, and C. In the requested page level A, users request a1, a2, a3, a4, and a5, and the corresponding hits are 10, 20, 30, 40, and 50, respectively. ; The user requests b1, b2, and b3 in the request page level B, the corresponding clicks are 10, 20, and 30, and the user requests c1, c2, and c3 in the request page level C, the corresponding clicks are 15 , 25, and 35, the request ranking list corresponding to the requested page level A is: a5, a4, a3, a2, and a1, and the request ranking list corresponding to the request page level B is: b3, b2 And b1, the request ranking list corresponding to the requested page level C is: c3, c2, and c1.

In a second embodiment, the step S30 includes:

Step S301: The first preset number of user requests in the request ranking list corresponding to each requested page level are identified as hotspot requests corresponding to each requested page level.

It is understandable that there may be only a few functions with high user attention in each requested page level, that is, the number of hotspot requests corresponding to each requested page level will not be large, and the first preset number may be based on analysis It is required to set, for example, to analyze the functions with the highest two attention levels in the web page requesting the page level, the first preset number may be set to two. The first preset number of user requests that are ranked first in the request queuing list are functions of the first preset number of users that are ranked in the front of the web pages of each request page level. And identifying the first preset number of user requests as the hotspot requests corresponding to the requested page level.

In a second embodiment, the step S40 includes:

Step S401: Obtain the hotspot page position of the hotspot request, and extract the hotspot page level corresponding to the hotspot request from the hotspot page position.

It should be noted that the corresponding function can be determined according to the hotspot request, the page position where the function is located is the hotspot page position, and the hotspot page position is specifically in which hotspot page level and which area.

Step S402: Determine whether the location of the hot page is in a preset prominent area of a current page corresponding to the hot page level.

In specific implementation, location analysis is performed on the hotspot requests in different hotspot page hierarchies. The current page is the page where the function corresponding to the hotspot request is located. The current page may be divided into multiple pages in advance. For each area, a different conspicuous level is set for each area according to user habits, and the preset conspicuous area is the area with the highest conspicuous level. It can be determined whether the position of the hot page is in the preset prominent area; if not, the position of the hot page is adjusted to the preset prominent area of the current page; if so, no adjustment is required.

Step S403: if not, adjust the position of the hot page to the preset prominent area of the current page.

It should be understood that if the location of the hot page is not in a preset prominent area of the current page corresponding to the hot page level, the user needs to spend time to access the current page corresponding to the hot page level. Find the function corresponding to the hotspot request. In order to make it easier for users to quickly find the function corresponding to the hotspot request, the position of the hotspot page is adjusted to a preset prominent area of the current page, thereby ensuring that the hotspot page level corresponds to the hotspot request level. The hotspot request in the current page is placed in the preset conspicuous area with the highest conspicuous level, thereby facilitating users to access corresponding functions and improving the user experience.

In the second embodiment, after step S403, the method further includes:

One hotspot request is obtained from each of the first sorted list and the second sorted list, and the request sorted list includes the first sorted list and the second sorted list;

Comparing the obtained clicks of the two hotspot requests, with the hotspot request with a larger click as the first request, and the hotspot request with the smaller click as the second request;

Acquiring the first page level of the first request and the second page level of the second request, and the hot page level includes the first page level and the second page level;

Determining whether the first page level is higher than the second page level;

If yes, the first page level and the second page level are interchanged.

Understandably, the positions of the hotspot pages corresponding to the hotspot requests in each hotspot page hierarchy are adjusted to the preset prominent area of the current page. For the hotspot page hierarchy, the larger the number of hierarchies The more time-consuming to access, for example, if the hotspot page level corresponding to the hotspot request is the first level, the first page that the user sees on the website is the first level page, and the user can directly click the For access at any location, if the hotspot page level corresponding to the hotspot request is the second level, the first level must be entered through the corresponding entrance of the first level to find the second level page. Hotspot request corresponding function. In order to save user access time, the level corresponding to hotspot requests with high user attention can be adjusted to a lower level.

It should be understood that, the request sort list is a list corresponding to each request page level, and the request page hierarchy is multi-layer, then there are a plurality of corresponding request sort lists, which are obtained from a plurality of the request sort lists. Any two lists serve as the first sorted list and the second sorted list. The first preset number of user requests that are ranked first in the first sorted list are hotspot requests corresponding to the first page level, that is, from the first preset number of hotspots corresponding to the first page level One hotspot request is arbitrarily obtained in the request; the first preset number of user requests in the second ranked list are hotspot requests corresponding to the second page level, that is, from the first preset number of One of the hotspot requests corresponding to the second page level is arbitrarily obtained; the two hotspot requests obtained are compared for traffic, and the hotspot request with a larger traffic is taken as the first request, and the hotspot request with a smaller traffic is taken as Second request.

It should be noted that it is determined whether the first page level corresponding to the first request is higher than the second page level of the second request, and if the first page level is higher than the second page The level indicates that the first requested access is more time-consuming than the second requested access, and the first request has a larger number of clicks, indicating that the user's attention is higher. In order to save the user's time-consuming access, the The first page level corresponding to the first request is interchanged with the second page level of the second request, so that user requests with a higher click volume are more easily accessed.

In the second embodiment, hotspot requests at each page level are placed in the most conspicuous areas, saving user access time and improving user experience.

Referring to FIG. 4, FIG. 4 is a schematic flowchart of a third embodiment of the log-based resource adjustment method of the present application. Based on the first embodiment shown in FIG. 2 described above, a third embodiment of the log-based resource adjustment method of the present application is proposed.

In the third embodiment, after step S40, the method further includes:

Step S50: Calculate network resources occupied by each user request according to the uniform resource locator information.

It can be understood that the uniform resource locator information includes the single page size of the URL access corresponding to the user request. By counting the number of times of the same URL access, the same is calculated according to the number of times and the single page size. The total page size visited by the URL. The types of the user requests that are counted, and the total time, total page size, and page size per unit time consumed by various users requesting URLs are classified and counted to indirectly calculate the network traffic and central processing occupied by the URLs corresponding to each user request. (Central Processing Unit (CPU), Input / Output (IO), and other resources. The network traffic, CPU, and IO occupied by the URL are the network resources occupied by the user request. The network traffic is the amount of data transmitted on the network. The size of the network traffic is of great significance to the design of the network architecture, and the network can be designed according to the network traffic. The occupied CPU refers to the CPU usage, which is actually the CPU resources occupied by the running readable instructions, which indicates that the computer is running the readable instructions at a certain point in time. The higher the utilization, the computer is running at this time. A lot of readable instructions, and less of them. Occupied input and output (IO) refers to the proportion of data that a user requests to occupy the computer and transfer to any external device.

Step S60: Determine a network bottleneck request according to the network resources, and adjust the network bottleneck request.

It should be understood that, in order to optimize the occupation of network resources, each user request may be sorted by the network resources occupied by the user request, and the user request that ranked the occupied network resource first is determined as the network bottleneck request. In order to prevent the network bottleneck request from occupying too much or occupying network resources for a long time, the network bottleneck request may be analyzed to determine whether there is room for optimization, and if it exists, the network bottleneck request may be adjusted to achieve Optimize and improve the situation that the network bottleneck request occupies network resources, reduce the network bottleneck request, and improve the utilization of network resources.

Further, the step S60 includes:

Sort the network resources from large to small to obtain a resource occupation list;

Identifying a user request corresponding to the second preset number of the network resources in the resource occupation list as a network bottleneck request;

Adjust the network bottleneck request.

It should be noted that the network resources are sorted from large to small, and the network resources that are ranked in front occupy a large amount, indicating that the corresponding user requests occupy a lot of resources, which may limit the overall network bandwidth and become a network bottleneck. Generally, There are multiple network bottleneck requests, and the second preset number may be preset according to experience values, for example, the second preset number may be 20 or 50, and so on. In order to avoid the network bottleneck request from occupying too much or occupying network resources for a long time, the network bottleneck request can be analyzed. From the perspective of the user, optimization can make the page load faster and respond to the user's operation more timely. , Can provide users with a more friendly experience. From the perspective of the service provider, optimization can reduce the number of page requests, or reduce the bandwidth occupied by requests, and can save considerable resources. Proper optimization can not only improve the user experience of the site, but also save considerable resource utilization.

In specific implementation, there are many ways to optimize the front end, which can be page-level optimization, such as HyperText Transfer Protocol (HyperText Transfer Protocol (HTTP for short) requests, non-blocking loading of scripts, location optimization of inline scripts, etc .; it can also be code-level optimizations, such as the Document Object Model (Document in Javascript) Object Model (DOM for short) operation optimization, Cascading Style Sheets (CSS for short) selector optimization, image optimization, and HyperText Markup Language (HTML for short) structural optimization. In this embodiment, the adjusting the network bottleneck request includes analyzing the network bottleneck request to determine whether the network bottleneck request can perform page-level optimization or code-level optimization. Describe the network bottleneck request for page-level optimization or code-level optimization.

In the third embodiment, the optimization can make the page load faster, respond to the user's operation more timely, provide a more friendly experience for the user, and the optimization can reduce the number of page requests, or reduce the bandwidth occupied by the request. Can save considerable resources.

It should be noted that a person of ordinary skill in the art can understand that all or part of the steps for implementing the foregoing embodiments may be completed by hardware, or may be performed by a program instructing related hardware. The program may be stored in a computer-readable format. Among the storage media, the above-mentioned storage media may be a read-only memory, a magnetic disk, or an optical disk.

In addition, an embodiment of the present application further provides a storage medium, where the log-based resource adjustment readable instruction is stored, and the log-based resource adjustment readable instruction is implemented as described above when executed by a processor. Steps of a log-based resource tuning method.

In addition, referring to FIG. 5, an embodiment of the present application further provides a log-based resource adjustment apparatus. The log-based resource adjustment apparatus includes:

An extraction module 10, configured to collect an access log generated by a statistics server, and extract uniform resource locator information requested by multiple users from the access log;

A sorting module 20 is configured to calculate the number of clicks requested by each user according to the uniform resource locator information, sort each user request according to the number of clicks, and obtain a request ranking list;

A determination module 30, configured to identify the first preset number of user requests in the request ranking list as hotspot requests;

The adjusting module 40 is configured to obtain the hotspot page position requested by the hotspot, and adjust the hotspot page position to a preset prominent area of the current page.

In an embodiment, the log-based resource adjustment device further includes: an obtaining module, configured to obtain a requested page level requested by each user;

The ranking module 20 is further configured to calculate the number of clicks requested by each user according to the uniform resource locator information, and sort the user requests at the same requested page level according to the number of clicks to obtain A request sort list corresponding to the request page level;

The identification module 30 is further configured to identify the first preset number of user requests in the request ranking list corresponding to each requested page level as hotspot requests corresponding to each requested page level.

In an embodiment, the log-based resource adjustment device further includes: the obtaining module is further configured to obtain a hotspot page position of the hotspot request, and extract a corresponding hotspot request from the hotspot page position. Hot page level; a judging module for judging whether the position of the hot page is in a preset prominent area of the current page corresponding to the hot page level; the adjustment module 40 is further configured to, if not, change the hot page The position is adjusted to the preset prominent area of the current page.

In an embodiment, the log-based resource adjustment device further includes: the obtaining module is further configured to obtain a hotspot request from a first sorted list and a second sorted list, respectively, and the request sorted list includes the request A first sorted list and the second sorted list; a comparison module is further configured to compare the number of clicks corresponding to the two hotspot requests obtained, and use the hotspot request with a larger number of hits as the first request; The hotspot request is a second request; the obtaining module is further configured to obtain a first page level of the first request and a second page level of the second request, and the hot page level includes the first page level And the second page level; the judging module is further configured to determine whether the first page level is higher than the second page level; the interchange module is further configured to, if so, the first page level With the second page hierarchy.

In an embodiment, the log-based resource adjustment device further includes: a calculation module, configured to calculate network resources occupied by each user request according to the uniform resource locator information; and the adjustment module 40 is further configured to: The network resource determines a network bottleneck request, and adjusts the network bottleneck request.

In an embodiment, the ranking module 20 is further configured to sort the network resources from large to small to obtain a resource occupation list; and the determination module 30 is further configured to rank the resource occupation list in the The user request corresponding to the foregoing second preset number of network resources is identified as a network bottleneck request; the adjustment module 40 is further configured to adjust the network bottleneck request.

In one embodiment, the determination module is further configured to analyze the network bottleneck request to determine whether the network bottleneck request can perform page-level optimization or code-level optimization; the adjustment module 40 is further configured to: If yes, perform page-level optimization or code-level optimization on the network bottleneck request.

For other embodiments or specific implementations of the log-based resource adjustment apparatus described in this application, reference may be made to the foregoing method embodiments, and details are not described herein again.

It should be noted that, in this article, the terms "including", "including" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, It also includes other elements not explicitly listed, or elements inherent to such a process, method, article, or system. Without more restrictions, an element limited by the sentence "including a ..." does not exclude the existence of other identical elements in the process, method, article, or system that includes the element.

The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the superiority or inferiority of the embodiments. Through the description of the above embodiments, those skilled in the art can clearly understand the above. The method of the embodiment can be implemented by means of software plus a necessary universal hardware platform. Hardware, but in many cases the former is a better implementation. Based on such an understanding, the technical solution of the present application in essence or a part that contributes to the existing technology may be in the form of a software product. Now, the computer software product is stored in a storage medium (such as a Read Only Memory image (ROM) / Random Access Memory (Random Access Memory (RAM), magnetic disks, and optical disks) include a number of instructions for causing a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the embodiments of this application.

The above are only preferred embodiments of the present application, and thus do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the contents of the specification and drawings of the present application, or directly or indirectly used in other related technical fields Are included in the scope of patent protection of this application. Ranch

Claims

A log-based resource adjustment method is characterized in that the log-based resource adjustment method includes the following steps:

Collect an access log generated by the statistics server, and extract uniform resource locator information requested by multiple users from the access log;

Calculating the number of clicks requested by each user according to the uniform resource locator information, sorting each user request according to the number of clicks, and obtaining a request sort list;

Identifying the first preset number of user requests in the request ranking list as hotspot requests;

Obtain the hotspot page position requested by the hotspot, and adjust the hotspot page position to a preset prominent area of the current page.
The method for adjusting resources based on logs according to claim 1, characterized in that, according to the uniform resource locator information, the number of clicks requested by each user is calculated, and each user request is performed according to the clicks from large to small Sort to get a list of sorted requests, including:

Get the requested page level requested by each user;

Calculate the number of clicks requested by each user according to the uniform resource locator information, sort the user requests at the same requested page level according to the clicks from large to small, and obtain the request order corresponding to the requested page level List

The identifying the first preset number of user requests in the request ranking list as hotspot requests includes:

The first preset number of user requests in the request ranking list corresponding to each requested page level are identified as hotspot requests corresponding to each requested page level.
The log-based resource adjustment method according to claim 2, wherein the acquiring the hotspot page position requested by the hotspot and adjusting the hotspot page position to a preset prominent area of the current page comprises:

Obtaining the hotspot page position of the hotspot request, and extracting the hotspot page level corresponding to the hotspot request from the hotspot page position;

Determining whether the location of the hot page is in a preset prominent area of a current page corresponding to the hot page level;

If not, adjust the position of the hot page to the preset prominent area of the current page.
The log-based resource adjustment method according to claim 2, wherein if the position of the hot page is not adjusted to the preset prominent area of the current page, the log-based Resource adjustment methods also include:

One hotspot request is obtained from each of the first sorted list and the second sorted list, and the request sorted list includes the first sorted list and the second sorted list;

Comparing the obtained clicks of the two hotspot requests, with the hotspot request with a larger click as the first request, and the hotspot request with the smaller click as the second request;

Acquiring the first page level of the first request and the second page level of the second request, and the hot page level includes the first page level and the second page level;

Determining whether the first page level is higher than the second page level;

If yes, the first page level and the second page level are interchanged.
The log-based resource adjustment method according to claim 1, wherein after obtaining the hotspot page position of the hotspot request, adjusting the hotspot page position to a preset prominent area of the current page, the based The log resource adjustment method also includes:

Calculating network resources occupied by each user request according to the uniform resource locator information;

A network bottleneck request is determined according to the network resources, and the network bottleneck request is adjusted.
The log-based resource adjustment method according to claim 5, wherein determining the network bottleneck request based on the network resource and adjusting the network bottleneck request comprises:

Sort the network resources from large to small to obtain a resource occupation list;

Identifying a user request corresponding to the second preset number of the network resources in the resource occupation list as a network bottleneck request;

Adjust the network bottleneck request.
The method for adjusting log-based resources according to claim 6, wherein the adjusting the network bottleneck request comprises:

Analyze the network bottleneck request to determine whether the network bottleneck request can perform page-level optimization or code-level optimization;

If it can, perform page-level optimization or code-level optimization on the network bottleneck request.
A log-based resource adjustment device, characterized in that the log-based resource adjustment device includes: a memory, a processor, and a log-based resource adjustment device that is stored on the memory and can run on the processor. Read instructions, the log-based resource adjustment readable instructions when executed by the processor implement the following steps:

Collect an access log generated by the statistics server, and extract uniform resource locator information requested by multiple users from the access log;

Calculating the number of clicks requested by each user according to the uniform resource locator information, sorting each user request according to the number of clicks, and obtaining a request sort list;

Identifying the first preset number of user requests in the request ranking list as hotspot requests;

Obtain the hotspot page position requested by the hotspot, and adjust the hotspot page position to a preset prominent area of the current page.
The device for adjusting resources based on logs according to claim 8, characterized in that said calculating the click amount requested by each user according to the uniform resource locator information, and performing each user request according to the click amount from large to small Sorting, the steps to obtain a sorted list of requests include:

Get the requested page level requested by each user;

Calculate the number of clicks requested by each user according to the uniform resource locator information, sort the user requests at the same requested page level according to the clicks from large to small, and obtain the request order corresponding to the requested page level List

The step of identifying the first preset number of user requests in the request ranking list as hotspot requests includes:

The first preset number of user requests in the request ranking list corresponding to each requested page level are identified as hotspot requests corresponding to each requested page level.
The log-based resource adjustment device according to claim 9, wherein the step of obtaining the hotspot page position requested by the hotspot and adjusting the hotspot page position to a preset prominent area of the current page comprises:

Obtaining the hotspot page position of the hotspot request, and extracting the hotspot page level corresponding to the hotspot request from the hotspot page position;

Determining whether the location of the hot page is in a preset prominent area of a current page corresponding to the hot page level;

If not, adjust the position of the hot page to the preset prominent area of the current page.
The log-based resource adjustment device according to claim 9, wherein after the step of adjusting the position of the hot page to the preset conspicuous area of the current page after the step is not included, comprising:

One hotspot request is obtained from each of the first sorted list and the second sorted list, and the request sorted list includes the first sorted list and the second sorted list;

Comparing the obtained clicks of the two hotspot requests, with the hotspot request with a larger click as the first request, and the hotspot request with the smaller click as the second request;

Acquiring the first page level of the first request and the second page level of the second request, and the hot page level includes the first page level and the second page level;

Determining whether the first page level is higher than the second page level;

If yes, the first page level and the second page level are interchanged.
The log-based resource adjustment device according to claim 8, wherein after the step of obtaining the hotspot page position requested by the hotspot and adjusting the hotspot page position to a preset prominent area of the current page comprises:

Calculating network resources occupied by each user request according to the uniform resource locator information;

A network bottleneck request is determined according to the network resources, and the network bottleneck request is adjusted.
The log-based resource adjustment device according to claim 12, wherein the step of determining a network bottleneck request based on the network resource, and adjusting the network bottleneck request comprises:

Sort the network resources from large to small to obtain a resource occupation list;

Identifying a user request corresponding to the second preset number of the network resources in the resource occupation list as a network bottleneck request;

Adjust the network bottleneck request.
A storage medium is characterized in that log-based resource adjustment readable instructions are stored on the storage medium, and the log-based resource adjustment readable instructions are executed by a processor to implement the following steps:

Collect an access log generated by the statistics server, and extract uniform resource locator information requested by multiple users from the access log;

Calculating the number of clicks requested by each user according to the uniform resource locator information, sorting each user request according to the number of clicks, and obtaining a request sort list;

Identifying the first preset number of user requests in the request ranking list as hotspot requests;

Obtain the hotspot page position requested by the hotspot, and adjust the hotspot page position to a preset prominent area of the current page.
The storage medium according to claim 14, wherein the calculation of the number of clicks requested by each user according to the uniform resource locator information, sorting each user request according to the number of clicks, and obtaining a request The steps to sort the list include:

Get the requested page level requested by each user;

Calculate the number of clicks requested by each user according to the uniform resource locator information, sort the user requests at the same requested page level according to the clicks from large to small, and obtain the request order corresponding to the requested page level List

The step of identifying the first preset number of user requests in the request ranking list as hotspot requests includes:

The first preset number of user requests in the request ranking list corresponding to each requested page level are identified as hotspot requests corresponding to each requested page level.
The storage medium according to claim 15, wherein the step of obtaining the hotspot page position requested by the hotspot and adjusting the hotspot page position to a preset prominent area of the current page comprises:

Obtaining the hotspot page position of the hotspot request, and extracting the hotspot page level corresponding to the hotspot request from the hotspot page position;

Determining whether the location of the hot page is in a preset prominent area of a current page corresponding to the hot page level;

If not, adjust the position of the hot page to the preset prominent area of the current page.
The storage medium according to claim 15, wherein after the step of adjusting the position of the hot page to the preset conspicuous area of the current page after the step of not comprising, comprising:

One hotspot request is obtained from each of the first sorted list and the second sorted list, and the request sorted list includes the first sorted list and the second sorted list;

Comparing the obtained clicks of the two hotspot requests, with the hotspot request with a larger click as the first request, and the hotspot request with the smaller click as the second request;

Acquiring the first page level of the first request and the second page level of the second request, and the hot page level includes the first page level and the second page level;

Determining whether the first page level is higher than the second page level;

If yes, the first page level and the second page level are interchanged.
The storage medium according to claim 14, wherein after the step of obtaining the hotspot page position requested by the hotspot and adjusting the hotspot page position to a preset prominent area of the current page comprises:

Calculating network resources occupied by each user request according to the uniform resource locator information;

A network bottleneck request is determined according to the network resources, and the network bottleneck request is adjusted.
The storage medium according to claim 18, wherein the step of determining a network bottleneck request according to the network resource, and adjusting the network bottleneck request comprises:

Sort the network resources from large to small to obtain a resource occupation list;

Identifying a user request corresponding to the second preset number of the network resources in the resource occupation list as a network bottleneck request;

Adjust the network bottleneck request.
A log-based resource adjustment device is characterized in that the log-based resource adjustment device includes:

An extraction module, configured to collect an access log generated by the statistics server, and extract uniform resource locator information requested by multiple users from the access log;

A sorting module, configured to calculate a click amount requested by each user according to the uniform resource locator information, sort each user request according to the click amount, and obtain a request sort list;

A determining module, configured to identify the first preset number of user requests in the request ranking list as hotspot requests;

An adjustment module is configured to obtain a hotspot page position requested by the hotspot, and adjust the hotspot page position to a preset prominent area of a current page.