CN109165371A - A kind of webpage static resource pre-add support method based on user behavior - Google Patents
A kind of webpage static resource pre-add support method based on user behavior Download PDFInfo
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Abstract
The present invention relates to Web technologies, it is desirable to provide a kind of webpage static resource pre-add support method based on user behavior.Webpage static resource pre-add support method of this kind based on user behavior, comprising steps of establishing initial anticipation model；Server-side opens static resource anticipation；Improve anticipation model.The present invention is a kind of based on lazy load, but compensates for lazy load and will appear the scheme of pause and transition in rhythm or melody sense；The present invention copes with software continuous update, content of pages change makes the case where sequentially the changing that call request there are the ability of self study, self-optimizing；The present invention is small for front end exploitation influence, only need to once write preloading and feedback mechanism, not have additional effect for the written in code of single request.
Description
Technical field
The present invention relates to Web technical field, in particular to a kind of webpage static resource based on user behavior preloads
Method.
Background technique
Web technology constantly push away it is old go out, commercial competition increasingly fierce today, still there is static resource when accessing website
Load time-consuming problem.The problem does not solve bring harm when being accession page, and content of pages can not quickly show, and bring not
Good user experience.Promotion of the loading velocity of webpage to user experience has the raising of user's retention ratio vital
Effect.
For pages static resources such as picture, JS script files, it is mainly used for showing and service logic for style sheet
Operation.When browser accesses some websites url, after dns resolution, it will download these moneys from the server of the website
Source.If the download time of resource is too long, it will directly result in web page loading time and be extended, bring extremely bad user's body
It tests.Research shows that: user is 2-5 seconds the most satisfied opening webpage time, if waiting more than 10 seconds, 99% user can be closed
This webpage.It is an important topic for the exploitation of front end so how to improve page loading velocity
The wider scheme of currently practical application is mainly as follows:
Method one: merging resource, reduces network request.One page needs to initiate tens network requests to obtain foot
The resources such as sheet, picture, each to request the operation such as need to carry out DNS addressing, establish the link, handle request, returned data, these are opened
Pin substantially prolongs the time of resource load.So can by multiple file mergencess at a file by way of, to reduce
Number of request.
The advantages of the method, is: 1) reducing network request bring DNS addressing, the networks such as client and server-side are shaken hands
The time for requesting itself to consume；2) since browser is there are the concurrent upper limit of network request, the request more than the upper limit is had to wait for, nothing
Method and other request Concurrencies after merging resource, can be reduced as far as the case where request is delayed by execution.
The shortcomings that the method, is: 1) making single resource excessive, can not accomplish gradual page rendering；2) there are resource waves
Take problem, is packaged in the resource after merging, contains content much useless to current page.
Method two: page lazyness load.The page only loads the resource in screen visual range, when page scroll, reloads
The static resource that subsequent content needs.
The advantages of the method, is: 1) reducing the first screen load time；2) resource obtains on demand, and there is no the wastings of resources to ask
Topic.
The shortcomings that the method is: the fluency of page interaction reduces, since the load of resource is triggered by the operation of user,
And the resource load time generally can all be longer than the time of user's operation, so user can be allowed to feel apparent Caton.
Summary of the invention
It is a primary object of the present invention to overcome deficiency in the prior art, provide it is a kind of according to request anticipation model come pre-
Survey next request object, the loaded and optimized scheme of static resource that front end actively preloads.In order to solve the above technical problems, of the invention
Solution be:
A kind of webpage static resource pre-add support method based on user behavior is provided, specifically include the following steps:
Step (1): initial anticipation model is established；
User's Request Log file is scanned, (this is sequentially user's operation by the actual resource request sequence of analysis user
Reflect with the side of point of interest), to each page makeup resource request dependent tree (i.e. static resource downloading order and dependent tree)；
The resource request dependent tree, can embody the downloading order of corresponding page static resource；All pages in the website
Resource request dependent tree, as anticipation model；
Step (2): server-side opens static resource anticipation；
It is requested when server-side receives the static resource from client, analyzes the historical requests path of current request
When accession page (i.e., be to reach current request along what request sequence)；
According to the anticipation model that historical requests path and step (1) generate, prejudges out the next static resource of client and ask
Seek object；When current request object returns, the anticipation result will be returned into client together in advance；
Step (3): anticipation model is improved；
Client carries out the object of anticipation static resource that server-side returns request object and practical next request pair
Than will prejudge successfully or the information of failure return to server-side；
Server-side prejudges model according to feedback information, adjust automatically.
In the present invention, in the step (1), building resource request dependent tree specifically include the following steps:
Step a1): page URL is set as to the root node of tree；
Step b1): using the resource of page initial loading as the child node of root node, each node include resource name and
Resource is requested total degree information；
Step c1): newly generated child node in successively traversal step b1) finds request after these nodes respectively
Resource, and using these resource objects as the child node of corresponding node；Each newly generated node includes resource name and resource
The corresponding request number of times of request path；
Step d1): the newly generated child node of recursive traversal is established until resource request dependent tree and is completed.
In the present invention, it in the step (2), according to anticipation model and historical requests path, prejudges out one under client
The request object of a static resource, the specific method is as follows:
The corresponding node of current request is found out in anticipation model:
If there are multiple child nodes (to indicate after current request, possible there are many requests for the corresponding node of current request
Situation), then it is calculated, is obtained by historical requests path request number of times corresponding with the resource request path of each child node
A most child node of corresponding current historical requests path number predicts that the child node corresponding resource is next request pair
As；
If the corresponding node of current request only exists a child node, predict that the child node corresponding resource is next asks
Seek object.
In the present invention, in the step (3), anticipation model is improved, specifically include the following steps:
Step a3): the prediction resource information that client is returned according to server-side, in the case where the current thread free time, in advance
First load the resource；
Step b3): when next request occurs, the resource of request is compared client with prediction resource information；
If predicting successfully, without requesting again, and to predict that successful result information feeds back to server-side；
If prediction of failure re-requests, and the result information of prediction of failure is asked to feed back to server-side；
Step c3): server-side receives the feedback information of client；
If predicting successfully, the corresponding request number of times in resource request path of the child node being predicted is added 1；
If prediction of failure, the corresponding request number of times in resource request path of the child node being predicted is subtracted 1.
A kind of storage equipment is provided, wherein being stored with a plurality of instruction, described instruction is suitable for being loaded and being executed by processor:
Step (1): initial anticipation model is established；
User's Request Log file is scanned, (this is sequentially user's operation by the actual resource request sequence of analysis user
Reflect with the side of point of interest), to each page makeup resource request dependent tree (i.e. static resource downloading order and dependent tree)；
The resource request dependent tree, can embody the downloading order of corresponding page static resource；All pages in the website
Resource request dependent tree, as anticipation model；
Step (2): server-side opens static resource anticipation；
It is requested when server-side receives the static resource from client, analyzes the historical requests path of current request
When accession page (i.e., be to reach current request along what request sequence)；
According to the anticipation model that historical requests path and step (1) generate, prejudges out the next static resource of client and ask
Seek object；When current request object returns, the anticipation result will be returned into client together in advance；
Step (3): anticipation model is improved；
Client carries out the object of anticipation static resource that server-side returns request object and practical next request pair
Than will prejudge successfully or the information of failure return to server-side；
Server-side prejudges model according to feedback information, adjust automatically.
A kind of mobile terminal, including processor are provided, each instruction is adapted for carrying out；And storage equipment, it is suitable for storing a plurality of
Instruction, described instruction are suitable for being loaded and being executed by processor:
Step (1): initial anticipation model is established；
User's Request Log file is scanned, (this is sequentially user's operation by the actual resource request sequence of analysis user
Reflect with the side of point of interest), to each page makeup resource request dependent tree (i.e. static resource downloading order and dependent tree)；
The resource request dependent tree, can embody the downloading order of corresponding page static resource；All pages in the website
Resource request dependent tree, as anticipation model；
Step (2): server-side opens static resource anticipation；
It is requested when server-side receives the static resource from client, analyzes the historical requests path of current request
When accession page (i.e., be to reach current request along what request sequence)；
According to the anticipation model that historical requests path and step (1) generate, prejudges out the next static resource of client and ask
Seek object；When current request object returns, the anticipation result will be returned into client together in advance；
Step (3): anticipation model is improved；
Client carries out the object of anticipation static resource that server-side returns request object and practical next request pair
Than will prejudge successfully or the information of failure return to server-side；
Server-side prejudges model according to feedback information, adjust automatically.
The principle of the present invention is: automatically analyzing user's operation flow data, sums up resource downloading sequencing and each other
Between the rule that relies on so that prejudging out the resource object of next request and advance notice client after user requests certain resource
End, client actively request next resource according to the anticipation information in advance.The key point of the invention is request anticipation.
Compared with prior art, the beneficial effects of the present invention are:
1, the present invention is a kind of based on lazy load, but compensates for lazy load and will appear the scheme of pause and transition in rhythm or melody sense.
2, the present invention is there are the ability of self study, self-optimizing, cope with that software continuous updates, content of pages changes so that
The case where request sequence changes.
3, the present invention influences front end exploitation small, only preloading and feedback mechanism need to be once write, for single request
Written in code there is no additional effect.
Detailed description of the invention
Fig. 1 is the resource request dependent tree schematic diagram in the present invention.
Specific embodiment
Firstly the need of explanation, the present invention is a kind of application of computer technology.During realization of the invention, meeting
It is related to the application of multiple software function modules.It is applicant's understanding that such as to read over application documents, accurate understanding of the invention
After realization principle and goal of the invention, in the case where combining existing well-known technique, those skilled in the art can use completely
Its software programming technical ability grasped realizes the present invention.Category this scope that all the present patent application files refer to, applicant be not another
One enumerates.
Present invention is further described in detail with specific embodiment with reference to the accompanying drawing:
A kind of webpage static resource pre-add support method based on user behavior, solution is current web static resource load
The problem of speed is slow, leads to poor user experience.This method includes that initially anticipation model, server-side unlatching static resource are pre- for foundation
Sentence, improve anticipation three steps of model, specifically:
Step (1): initial anticipation model is established:
User's Request Log file is scanned, (this is sequentially user's operation by the actual resource request sequence of analysis user
Reflect with the side of point of interest), to each page makeup resource request dependent tree.Resource request dependent tree as shown in Figure 1, i.e.,
Static resource downloading order and dependent tree can embody the downloading order of corresponding page static resource, can be next according to this tree
Important reference frame is done in the anticipation of step.The resource request dependent tree of all pages in the website, as anticipation model.
Construct resource request dependent tree specifically include the following steps:
Step a1): page URL is set as to the root node of tree.
Step b1): using the resource of page initial loading as the child node of root node, each node include resource name and
Resource is requested total degree information.
Step c1): newly generated child node in successively traversal step b1) finds request after these nodes respectively
Resource, and using these resource objects as the child node of corresponding node；Each newly generated node includes resource name and resource
The corresponding request number of times of request path.By taking the resource F in Fig. 1 as an example, " AC:10 " information of node indicate from request path A- >
The request number of times of C- > F is 10 times.
Step d1): the newly generated child node of recursive traversal is established until resource request dependent tree and is completed.
Step (2): server-side opens static resource anticipation:
It is requested when server-side receives the static resource from client, analyzes the historical requests path of current request,
I.e. accession page when, be to reach current request along what request sequence.
The anticipation model generated according to step (1) and historical requests path, prejudge out the next static resource of client and ask
Object is sought, specifically:
Step a2): the corresponding node of current request is found out in anticipation model:
If there are multiple child nodes (to indicate after current request, possible there are many requests for the corresponding node of current request
Situation), then it is calculated, is obtained by historical requests path request number of times corresponding with the resource request path of each child node
A most child node of corresponding current historical requests path number predicts that the child node corresponding resource is next request pair
As.
If only existing a child node, predict that the child node corresponding resource is next request object.
Step b2): when current request object returns, the anticipation result will be returned into client together in advance.
Step (3): anticipation model is improved:
Client carries out the object of anticipation static resource that server-side returns request object and practical next request pair
Than will prejudge successfully or the information of failure return to server-side.Server-side prejudges model according to feedback information, adjust automatically,
So that the accuracy rate of model is continuously improved.Specifically:
Step a3): the prediction resource information that client is returned according to server-side, in the case where the current thread free time, in advance
First load the resource.
Step b3): when next request is true to be occurred, client compares the resource of request and prediction resource information
It is right:
If predicting successfully, without requesting again, and to predict that successful result information feeds back to server-side；
If prediction of failure re-requests, and the result information of prediction of failure is asked to feed back to server-side.
Step c3): server-side receives the feedback information of client:
If predicting successfully, the corresponding request number of times in resource request path of the child node being predicted is added 1；
If prediction of failure, the corresponding request number of times in resource request path of the child node being predicted is subtracted 1.
Finally it should be noted that the above enumerated are only specific embodiments of the present invention.It is clear that the invention is not restricted to
Above embodiments can also have many variations.Those skilled in the art can directly lead from present disclosure
Out or all deformations for associating, it is considered as protection scope of the present invention.
Claims (6)
1. a kind of webpage static resource pre-add support method based on user behavior, which is characterized in that specifically include the following steps:
Step (1): initial anticipation model is established；
User's Request Log file is scanned, by the actual resource request sequence of analysis user, each page makeup resource is asked
Seek dependent tree；
The resource request dependent tree, can embody the downloading order of corresponding page static resource；The resource of all pages in the website
Request dependent tree, as anticipation model；
Step (2): server-side opens static resource anticipation；
It is requested when server-side receives the static resource from client, analyzes the historical requests path of current request；
According to the anticipation model that historical requests path and step (1) generate, the next static resource request pair of client is prejudged out
As；When current request object returns, the anticipation result will be returned into client together in advance；
Step (3): anticipation model is improved；
Client compares the object of anticipation static resource request object and practical next request that server-side returns, will
It prejudges successfully or the information of failure returns to server-side；
Server-side prejudges model according to feedback information, adjust automatically.
2. a kind of webpage static resource pre-add support method based on user behavior according to claim 1, which is characterized in that
In the step (1), building resource request dependent tree specifically include the following steps:
Step a1): page URL is set as to the root node of tree；
Step b1): using the resource of page initial loading as the child node of root node, each node includes resource name and resource
Requested total degree information；
Step c1): newly generated child node in successively traversal step b1) finds the resource requested after these nodes respectively,
And using these resource objects as the child node of corresponding node；Each newly generated node includes resource name and resource request road
The corresponding request number of times of diameter；
Step d1): the newly generated child node of recursive traversal is established until resource request dependent tree and is completed.
3. a kind of webpage static resource pre-add support method based on user behavior according to claim 1, which is characterized in that
In the step (2), according to anticipation model and historical requests path, the request pair of the next static resource of client is prejudged out
As the specific method is as follows:
The corresponding node of current request is found out in anticipation model:
If there are multiple child nodes for the corresponding node of current request, asked by historical requests path and the resource of each child node
It asks the corresponding request number of times in path to be calculated, obtains a most child node of corresponding current historical requests path number, in advance
Surveying the child node corresponding resource is next request object；
If the corresponding node of current request only exists a child node, predict that the child node corresponding resource is next request pair
As.
4. a kind of webpage static resource pre-add support method based on user behavior according to claim 1, which is characterized in that
In the step (3), anticipation model is improved, specifically include the following steps:
Step a3): the prediction resource information that client is returned according to server-side adds in advance in the case where the current thread free time
Carry the resource；
Step b3): when next request occurs, the resource of request is compared client with prediction resource information；
If predicting successfully, without requesting again, and to predict that successful result information feeds back to server-side；
If prediction of failure re-requests, and the result information of prediction of failure is asked to feed back to server-side；
Step c3): server-side receives the feedback information of client；
If predicting successfully, the corresponding request number of times in resource request path of the child node being predicted is added 1；
If prediction of failure, the corresponding request number of times in resource request path of the child node being predicted is subtracted 1.
5. a kind of storage equipment, wherein being stored with a plurality of instruction, described instruction is suitable for being loaded and being executed by processor:
Step (1): initial anticipation model is established；
User's Request Log file is scanned, by the actual resource request sequence of analysis user, each page makeup resource is asked
Seek dependent tree；
The resource request dependent tree, can embody the downloading order of corresponding page static resource；The resource of all pages in the website
Request dependent tree, as anticipation model；
Step (2): server-side opens static resource anticipation；
It is requested when server-side receives the static resource from client, analyzes the historical requests path of current request；
According to the anticipation model that historical requests path and step (1) generate, the next static resource request pair of client is prejudged out
As；When current request object returns, the anticipation result will be returned into client together in advance；
Step (3): anticipation model is improved；
Client compares the object of anticipation static resource request object and practical next request that server-side returns, will
It prejudges successfully or the information of failure returns to server-side；
Server-side prejudges model according to feedback information, adjust automatically.
6. a kind of mobile terminal, including processor are adapted for carrying out each instruction；And storage equipment, it is suitable for storing a plurality of instruction, institute
Instruction is stated to be suitable for being loaded and being executed by processor:
Step (1): initial anticipation model is established；
User's Request Log file is scanned, by the actual resource request sequence of analysis user, each page makeup resource is asked
Seek dependent tree；
The resource request dependent tree, can embody the downloading order of corresponding page static resource；The resource of all pages in the website
Request dependent tree, as anticipation model；
Step (2): server-side opens static resource anticipation；
It is requested when server-side receives the static resource from client, analyzes the historical requests path of current request；
According to the anticipation model that historical requests path and step (1) generate, the next static resource request pair of client is prejudged out
As；When current request object returns, the anticipation result will be returned into client together in advance；
Step (3): anticipation model is improved；
Client compares the object of anticipation static resource request object and practical next request that server-side returns, will
It prejudges successfully or the information of failure returns to server-side；
Server-side prejudges model according to feedback information, adjust automatically.
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| CN110069739A (en) * | 2019-04-28 | 2019-07-30 | 百度在线网络技术（北京）有限公司 | The page preloads method and device |
| CN110620902A (en) * | 2019-07-05 | 2019-12-27 | 中电科新型智慧城市研究院有限公司 | Local visualization and management method for mobile law enforcement recorder |
| CN113590410A (en) * | 2021-06-20 | 2021-11-02 | 济南浪潮数据技术有限公司 | Resource request method, system, device and medium |
| TWI808018B (en) * | 2021-11-24 | 2023-07-01 | 大陸商中國銀聯股份有限公司 | Webpage operation intelligent feedback method, system and device and readable storage medium |
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Application publication date: 20190108 |