CN111881400B - Webpage jump path determining method and device - Google Patents
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- 238000010801 machine learning Methods 0.000 claims description 12
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
Abstract
The embodiment of the invention provides a method and a device for determining a webpage jump path, which can obtain the webpage identifier of a current webpage and the webpage identifier of a final destination webpage; determining at least one webpage jump path capable of jumping from the current webpage to the final destination webpage according to the webpage identifier of the current webpage and the webpage identifier of the final destination webpage; obtaining the current service state corresponding to each webpage on each webpage jump path; predicting the jump completion time of each webpage jump path according to the current service state; outputting the predicted jump completion time of each webpage jump path. The invention can guide the user to uniformly use each webpage jump path, reduce the abnormal probability of the webpage and improve the success rate of webpage jump.
Description
Technical Field
The invention relates to the technical field of Internet, in particular to a method and a device for determining a webpage jump path.
Background
With the development and popularization of the internet, more and more contents are on the web page, and more enterprises and individuals perform various operations through the web page.
Typically, one web page will have multiple hyperlinks, through which the user can jump to other web pages, each of which is served by a server on the network side. Because the web address of the web page is long and is not easy to memorize, the user often needs to make a plurality of web page jumps to view the web page which the user finally wants to see. For example: the user jumps to the webpage B through the webpage A, then jumps to the webpage C through the webpage B, and finally jumps to the webpage D from the webpage C, wherein the webpage D is the webpage which the user finally hopes to see.
However, the present inventors studied to find that: the web page jump path from one web page to another is not unique, but the web page jump path frequently used by a large number of users is often a fixed one, which results in slow or even abnormal loading of web pages on the web page jump path frequently used by a large number of users.
Disclosure of Invention
In view of this, the present invention provides a method and apparatus for determining a web page jump path, so as to guide a user to use each web page jump path uniformly, reduce the probability of web page abnormality, and improve the success rate of web page jump.
In order to achieve the above object, the present invention provides the following technical solutions:
a webpage jump path determining method comprises the following steps:
acquiring a webpage identifier of a current webpage and a webpage identifier of a final destination webpage;
determining at least one webpage jump path capable of jumping from the current webpage to the final destination webpage according to the webpage identifier of the current webpage and the webpage identifier of the final destination webpage;
obtaining the current service state corresponding to each webpage on each webpage jump path;
predicting the jump completion time of each webpage jump path according to the current service state;
outputting the predicted jump completion time of each webpage jump path.
Optionally, the predicting, according to the current service state, a skip completion duration of each web page skip path includes:
path for each web page jump: inputting the current service state corresponding to each webpage in the webpage jump path into a pre-trained duration prediction machine model to obtain the jump completion duration output by the duration prediction machine model, wherein the input of the duration prediction machine model is the current service state corresponding to each webpage in the webpage jump path, and the output is the jump completion duration.
Optionally, the training process of the duration prediction machine model includes:
taking webpage stay time, webpage jump time and webpage abnormal time under the historical service state corresponding to each webpage on the webpage jump paths as training data;
and performing machine learning on the training data to obtain a trained duration prediction machine model.
Optionally, the current service state includes: a blocked state, a fast state, and a suspended state.
Optionally, the method further comprises:
outputting the determined webpage jump paths;
or selecting at least one from the determined webpage jump paths according to the jump completion time length to be output as a recommended path.
A web page jump path determining apparatus, comprising: a web page identification obtaining unit, a path determining unit, a service state obtaining unit, a duration predicting unit and a duration outputting unit,
the webpage identifier obtaining unit is used for obtaining the webpage identifier of the current webpage and the webpage identifier of the final destination webpage;
the path determining unit is used for determining at least one webpage jump path capable of jumping from the current webpage to the final destination webpage according to the webpage identifier of the current webpage and the webpage identifier of the final destination webpage;
the service state obtaining unit is used for obtaining the current service state corresponding to each webpage on each webpage jump path;
the duration prediction unit is used for predicting the jump completion duration of each webpage jump path according to the current service state;
the duration output unit is used for outputting the predicted jump completion duration of each webpage jump path.
Optionally, the duration prediction unit is specifically configured to:
path for each web page jump: inputting the current service state corresponding to each webpage in the webpage jump path into a pre-trained duration prediction machine model to obtain the jump completion duration output by the duration prediction machine model, wherein the input of the duration prediction machine model is the current service state corresponding to each webpage in the webpage jump path, and the output is the jump completion duration.
Optionally, the method further comprises: a model training unit for training the duration prediction machine model,
the model training unit includes: a training data determining unit and a machine learning unit,
the training data determining unit is used for taking webpage stay time, webpage jump time and webpage abnormal time under the historical service state corresponding to each webpage on the webpage jump paths as training data;
the machine learning unit is used for machine learning the training data to obtain a trained duration prediction machine model.
Optionally, the current service state includes: a blocked state, a fast state, and a suspended state.
Optionally, the method further comprises: a first output unit or a second output unit,
the first output unit is used for outputting the determined webpage jump paths;
the second output unit is configured to select at least one from the determined web page jump paths according to the jump completion duration, and output the selected at least one as a recommended path.
The method and the device for determining the webpage jump path can obtain the webpage identifier of the current webpage and the webpage identifier of the final destination webpage; determining at least one webpage jump path capable of jumping from the current webpage to the final destination webpage according to the webpage identifier of the current webpage and the webpage identifier of the final destination webpage; obtaining the current service state corresponding to each webpage on each webpage jump path; predicting the jump completion time of each webpage jump path according to the current service state; outputting the predicted jump completion time of each webpage jump path. The invention can guide the user to uniformly use each webpage jump path, reduce the abnormal probability of the webpage and improve the success rate of webpage jump.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
FIG. 1 shows a flowchart of a method for determining a web page jump path according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a webpage jump path according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating another method for determining a web page jump path according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating another method for determining a web page jump path according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a device for determining a web page jump path according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of another apparatus for determining a web page jump path according to an embodiment of the present invention.
Detailed Description
The invention discloses a method and a device for determining a webpage jump path, and a person skilled in the art can refer to the content of the text to properly improve the implementation of technological parameters. It is expressly noted that all such similar substitutions and modifications will be apparent to those skilled in the art, and are deemed to be included in the present invention. While the methods and applications of this invention have been described in terms of preferred embodiments, it will be apparent to those skilled in the relevant art that variations and modifications can be made in the methods and applications described herein, and in the practice and application of the techniques of this invention, without departing from the spirit or scope of the invention.
As shown in fig. 1, a method for determining a web page jump path according to an embodiment of the present invention may include:
s100, obtaining the webpage identification of the current webpage and the webpage identification of the final destination webpage.
The web page identifier may be a web address of a web page, a title of the web page, an id of the web page, etc.
The current web page is the web page that the user currently opens, and the final destination web page is the web page that the user finally wants to see. Specifically, the final destination web page may be determined according to the relevant information selected or input by the user, for example: the user inputs or selects the webpage identification of the final destination webpage, or the user inputs or selects the operation which is hoped to be realized (for example, the operation which is hoped to be realized is selected on the user personal page of the network bank of a certain bank is that the short message notification service is opened, and the final destination webpage is determined to be a notification page which is successfully opened by the short message).
S200, determining at least one webpage jump path capable of jumping from the current webpage to the final destination webpage according to the webpage identification of the current webpage and the webpage identification of the final destination webpage.
Specifically, the web page jump path may be formed by a plurality of web pages having a web page jump relationship, and each web page may be a node on the web page jump path. As shown in fig. 2, assuming that the final destination web page is web page H, the user jumps to web page H through the current web page, and there are various web page jump paths as shown in fig. 2. The arrow in fig. 2 indicates the web page jump direction.
It will be appreciated that the web page source code stores the skip relation between web pages, so that the skip relation between web pages can be obtained from the web page source code, thereby determining the web page skip path.
Of course, since the web server stores various web page data including the web page jump relationship, the present invention can also obtain at least one web page jump path from the web server for the current web page to jump to the final destination web page.
Optionally, the method shown in fig. 1 may further include: outputting the determined webpage jump paths.
Therefore, the user is prompted to have a plurality of webpage jump paths to use, so that the user can select one of the webpage jump paths for operation, and the problem that the webpage loading is slow or even abnormal due to the centralized use of one webpage jump path is avoided. Because a plurality of selectable webpage jump paths are provided, the user can be guided to use all webpage jump paths uniformly, the abnormal probability of the webpage is reduced, and the success rate of webpage jump is improved.
S300, obtaining the current service state corresponding to each webpage on each webpage jump path.
Wherein the service state includes: a blocked state, a fast state, and a suspended state.
The invention can obtain the current service state corresponding to each webpage from the webpage server, and can also determine the current service state corresponding to the webpage according to the webpage jump time length. When the webpage jump time length from the first webpage to the second webpage is smaller than the first preset time threshold, the corresponding current service state of the second webpage can be determined to be a fast state. When the webpage jump time period from the first webpage to the second webpage is longer than the second preset time threshold, the corresponding current service state of the second webpage can be determined to be a pause state. Wherein the second preset time threshold is greater than the first preset time threshold. When the web page skip time from the first web page to the second web page is between the first preset time threshold and the second preset time threshold, the corresponding current service state of the second web page can be determined to be a blocking state.
The above-mentioned web page jump time length can be obtained through actual tests, for example: and trying to jump to a second webpage in the first webpage, and counting the jump time. Specifically, the webpage jump duration may take the issued jump instruction as a starting point, finish loading the second webpage as an ending point, and determine the duration between the starting point and the ending point as the webpage jump duration.
Wherein the blocked state is a state in which the service response request is slow due to too many concurrent requests for the service corresponding to the web page. The fast state is a state in which the service can quickly respond to the request. The suspended state is a state in which a service is temporarily unavailable.
It will be appreciated that since the corresponding service is not available through the web page in the suspended state, the web page jump path including the web page in the suspended state may be removed from the web page jump path determined in step S200.
S400, predicting the jump completion time of each webpage jump path according to the current service state.
Because the service response time length difference under different service states is huge, the invention can predict the jump completion time length of each webpage jump path according to the current service state.
Specifically, as shown in fig. 3, step S400 may include:
s410, for each webpage jump path: inputting the current service state corresponding to each webpage in the webpage jump path into a pre-trained duration prediction machine model to obtain the jump completion duration output by the duration prediction machine model, wherein the input of the duration prediction machine model is the current service state corresponding to each webpage in the webpage jump path, and the output is the jump completion duration.
In other embodiments, the training process of the duration prediction machine model may include:
taking webpage stay time, webpage jump time and webpage abnormal time under the historical service state corresponding to each webpage on the webpage jump paths as training data;
and performing machine learning on the training data to obtain a trained duration prediction machine model.
The webpage stay time is a time for which the webpage is continuously displayed, for example: the webpage is a query client information page, and the duration display time of the webpage is the webpage stay time.
The web page abnormal time period is a time period during which the web page cannot be normally used, for example: the webpage is a page for inquiring client information, and the duration that the webpage cannot be displayed normally or a certain service of the webpage cannot be used normally is the abnormal duration of the webpage.
S500, outputting the predicted jump completion time of each webpage jump path.
After the jump completion time is output, the user can select the webpage jump path by referring to the predicted jump completion time, so that the webpage jump path delayed or even interrupted can be effectively avoided, and the success rate of webpage jump is effectively improved.
Optionally, as shown in fig. 4, the method shown in fig. 1 may further include:
s600, selecting at least one from the determined webpage jump paths according to the jump completion time to be output as a recommended path.
Alternatively, the web page jump path with the shortest predicted jump completion time may be output as the recommended path.
The webpage jump path determining method provided by the embodiment of the invention can obtain the webpage identifier of the current webpage and the webpage identifier of the final destination webpage; determining at least one webpage jump path capable of jumping from the current webpage to the final destination webpage according to the webpage identifier of the current webpage and the webpage identifier of the final destination webpage; obtaining the current service state corresponding to each webpage on each webpage jump path; predicting the jump completion time of each webpage jump path according to the current service state; outputting the predicted jump completion time of each webpage jump path. The invention can guide the user to uniformly use each webpage jump path, reduce the abnormal probability of the webpage and improve the success rate of webpage jump.
Corresponding to the embodiment of the method, the invention also provides a device for determining the webpage jump path.
As shown in fig. 5, a device for determining a web page jump path according to an embodiment of the present invention may include: a web page identification obtaining unit 100, a path determining unit 200, a service state obtaining unit 300, a duration predicting unit 400 and a duration outputting unit 500,
the web page identifier obtaining unit 100 is configured to obtain a web page identifier of a current web page and a web page identifier of a final destination web page;
the path determining unit 200 is configured to determine at least one web page jump path that can jump from the current web page to the final destination web page according to the web page identifier of the current web page and the web page identifier of the final destination web page;
the service state obtaining unit 300 is configured to obtain a current service state corresponding to each web page on each web page jump path;
the duration prediction unit 400 is configured to predict a skip completion duration of each web page skip path according to the current service state;
the duration output unit 500 is configured to output the predicted jump completion duration of each of the web page jump paths.
Alternatively, the duration prediction unit 400 may be specifically configured to:
path for each web page jump: inputting the current service state corresponding to each webpage in the webpage jump path into a pre-trained duration prediction machine model to obtain the jump completion duration output by the duration prediction machine model, wherein the input of the duration prediction machine model is the current service state corresponding to each webpage in the webpage jump path, and the output is the jump completion duration.
Optionally, as shown in fig. 6, the apparatus shown in fig. 5 may further include: a model training unit 600 for training the duration prediction machine model, the model training unit 600 comprising: a training data determination unit 610 and a machine learning unit 620,
the training data determining unit 610 is configured to take, as training data, a web page stay time length, a web page jump time length, and a web page abnormal time length in a historical service state corresponding to each web page on the plurality of web page jump paths;
and the machine learning unit 620 is configured to perform machine learning on the training data to obtain a trained duration prediction machine model.
Wherein the current service state includes: a blocked state, a fast state, and a suspended state.
Optionally, the apparatus shown in fig. 5 may further include: the first output unit is used for outputting the determined webpage jump paths;
the second output unit is configured to select at least one from the determined web page jump paths according to the jump completion duration, and output the selected at least one as a recommended path.
The webpage jump path determining device provided by the embodiment of the invention can obtain the webpage identifier of the current webpage and the webpage identifier of the final destination webpage; determining at least one webpage jump path capable of jumping from the current webpage to the final destination webpage according to the webpage identifier of the current webpage and the webpage identifier of the final destination webpage; obtaining the current service state corresponding to each webpage on each webpage jump path; predicting the jump completion time of each webpage jump path according to the current service state; outputting the predicted jump completion time of each webpage jump path. The invention can guide the user to uniformly use each webpage jump path, reduce the abnormal probability of the webpage and improve the success rate of webpage jump.
The device comprises a processor and a memory, wherein the webpage identification obtaining unit, the path determining unit, the service state obtaining unit, the duration predicting unit, the duration outputting unit and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel can be set with one or more than one, and the jump completion time of the webpage jump path is determined by adjusting kernel parameters.
The embodiment of the invention provides a storage medium, on which a program is stored, which when executed by a processor, implements the method for determining a web page jump path.
The embodiment of the invention provides a processor which is used for running a program, wherein the method for determining the webpage jump path is executed when the program runs.
The embodiment of the invention provides equipment, which comprises at least one processor, at least one memory and a bus, wherein the at least one memory and the bus are connected with the processor; the processor and the memory complete communication with each other through a bus; the processor is used for calling the program instructions in the memory to execute the webpage jump path determining method. The device herein may be a server, PC, PAD, cell phone, etc.
The present application also provides a computer program product adapted to perform a program initialized with the steps of the above described method for determining a path of a web page when executed on a data processing device.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, the device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.
The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (4)
1. A method for determining a web page jump path, comprising:
acquiring a webpage identifier of a current webpage and a webpage identifier of a final destination webpage;
determining at least one webpage jump path capable of jumping from the current webpage to the final destination webpage according to the webpage identifier of the current webpage and the webpage identifier of the final destination webpage;
obtaining a current service state corresponding to each webpage on each webpage jump path, wherein the current service state comprises the following steps: a blocking state, a fast state, and a suspended state; the blocking state is a state in which service response requests are slower due to too many concurrent requests for services corresponding to the web page; the fast state is a state in which the service can quickly respond to the request; the suspension state is a state in which a service is temporarily unavailable;
predicting the jump completion time of each webpage jump path according to the current service state;
outputting predicted jump completion time of each webpage jump path;
selecting at least one from the determined webpage jump paths according to the jump completion time length as a recommended path to output;
the predicting the jump completion time of each web page jump path according to the current service state includes:
path for each web page jump: inputting the current service state corresponding to each webpage in the webpage jump path into a pre-trained duration prediction machine model to obtain the jump completion duration output by the duration prediction machine model, wherein the input of the duration prediction machine model is the current service state corresponding to each webpage in the webpage jump path, and the output is the jump completion duration.
2. The method of claim 1, wherein the training process of the duration prediction machine model comprises:
taking webpage stay time, webpage jump time and webpage abnormal time under the historical service state corresponding to each webpage on the webpage jump paths as training data;
and performing machine learning on the training data to obtain a trained duration prediction machine model.
3. A web page jump path determining apparatus, comprising: a web page identification obtaining unit, a path determining unit, a service state obtaining unit, a duration predicting unit, a duration outputting unit and a second outputting unit,
the webpage identifier obtaining unit is used for obtaining the webpage identifier of the current webpage and the webpage identifier of the final destination webpage;
the path determining unit is used for determining at least one webpage jump path capable of jumping from the current webpage to the final destination webpage according to the webpage identifier of the current webpage and the webpage identifier of the final destination webpage;
the service state obtaining unit is configured to obtain a current service state corresponding to each web page on each web page jump path, where the current service state includes: a blocking state, a fast state, and a suspended state; the blocking state is a state in which service response requests are slower due to too many concurrent requests for services corresponding to the web page; the fast state is a state in which the service can quickly respond to the request; the suspension state is a state in which a service is temporarily unavailable;
the duration prediction unit is used for predicting the jump completion duration of each webpage jump path according to the current service state;
the duration output unit is used for outputting the predicted jump completion duration of each webpage jump path;
the second output unit is used for selecting at least one from the determined webpage jump paths according to the jump completion time length as a recommended path to output;
the duration prediction unit is specifically configured to: path for each web page jump: inputting the current service state corresponding to each webpage in the webpage jump path into a pre-trained duration prediction machine model to obtain the jump completion duration output by the duration prediction machine model, wherein the input of the duration prediction machine model is the current service state corresponding to each webpage in the webpage jump path, and the output is the jump completion duration.
4. A device according to claim 3, further comprising: a model training unit for training the duration prediction machine model,
the model training unit includes: a training data determining unit and a machine learning unit,
the training data determining unit is used for taking webpage stay time, webpage jump time and webpage abnormal time under the historical service state corresponding to each webpage on the webpage jump paths as training data;
the machine learning unit is used for machine learning the training data to obtain a trained duration prediction machine model.
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