CN112699327A - Front-end navigation bar recommendation method based on cloud computing and terminal equipment - Google Patents
Front-end navigation bar recommendation method based on cloud computing and terminal equipment Download PDFInfo
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- G—PHYSICS
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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
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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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
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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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]
- G06F16/9566—URL specific, e.g. using aliases, detecting broken or misspelled links
Abstract
The invention discloses a front-end navigation bar recommendation method based on cloud computing and terminal equipment, wherein the method comprises the steps of updating navigation bar data according to the weight of a current url; a user acquires the latest navigation bar information data; the step of updating the navigation bar data according to the weight of the current url comprises: a user accesses a server and sends a request; the cloud computing module acquires url data according to the request and forwards the request to the service module; acquiring the weight of the current url through cloud computing; updating the navigation bar data and the url data according to the weight of the current url; a user acquires the latest navigation bar information data; the method and the device can display different navigation bars and arrange the priority of the navigation bars according to the global heat, the user use heat and the user defined weight, and are convenient for the user navigation bars to find the concerned page.
Description
Technical Field
The invention relates to the technical field of navigation bar recommendation, in particular to a front-end navigation bar recommendation method based on cloud computing and a terminal device.
Background
The navigation bar is a row of horizontal navigation buttons which are positioned at the top or side area of a page and positioned above or below a header banner picture, and plays a role of linking each page in a site or software, generally, the navigation bar in the wordpress platform theme does not allow the link of the navigation bar to be randomly customized into other links, but when a new page is written by a user, the navigation bar automatically adds one more link to point to the button of the page; generally, the options "news, WEB page, MP3, know …" and the like are used in WEB sites, for example, the Baidu brow page is an example of a navigation bar; the navigation bar is used by the website to enable visitors to find needed resource areas more clearly and search resources, and if the number of pages of the website is large, the content of a single page is large; the user often takes time to find the page concerned by the user and even can not find the entrance of the function page, and the prior art only shows different page recommendation contents according to the use heat of the user.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The invention is provided in view of the problem that the user is not easy to find a concerned page from a navigation bar in the existing cloud computing-based front-end navigation bar recommendation method.
Therefore, the invention aims to provide a front-end navigation bar recommendation method based on cloud computing and a terminal device.
In order to solve the technical problems, the invention provides the following technical scheme: a front-end navigation bar recommendation method based on cloud computing comprises the following steps,
updating the navigation bar data according to the weight of the current url;
the user acquires the latest navigation bar information data.
As a preferred scheme of the cloud-computing-based front-end navigation bar recommendation method and the terminal device of the present invention, wherein: the step of updating the navigation bar data according to the weight of the current url comprises:
a user accesses a server and sends a request;
the cloud computing module acquires url data according to the request and forwards the request to the service module;
acquiring the weight of the current url through cloud computing;
updating the navigation bar data and the url data according to the weight of the current url;
the user acquires the latest navigation bar information data.
As a preferred scheme of the cloud-computing-based front-end navigation bar recommendation method and the terminal device of the present invention, wherein: the url data comprises the current user access times, the current user access times of the current url and the access times of all users of the current url.
As a preferred scheme of the cloud-computing-based front-end navigation bar recommendation method and the terminal device of the present invention, wherein: the updating of the navigation bar data according to the weight of the current url comprises the following steps:
the user manually updates the current url weight;
updating the navigation bar data according to the current url weight;
and calculating the display weight of all urls according to cloud computing.
As a preferred scheme of the cloud-computing-based front-end navigation bar recommendation method and the terminal device of the present invention, wherein: the navigation bar data includes the current user access times, the current url access times of the current user, and the access times of all current url users.
As a preferred scheme of the cloud-computing-based front-end navigation bar recommendation method and the terminal device of the present invention, wherein: the weight of the current url is obtained through cloud computing y, and the cloud computing y adopts the following formula:
y＝αf(x)+βg(x)
in the formula, alpha represents a user-defined weight proportion, beta represents a behavior heat proportion, the value range of the user-defined weight proportion alpha and the behavior heat proportion beta is 0-1, f (x) is a user-defined weight calculation function, and g (x) is a behavior heat weight calculation function.
As a preferred scheme of the cloud-computing-based front-end navigation bar recommendation method and the terminal device of the present invention, wherein: the user-defined weight calculation function f (x) is:
in the formula, A represents the user-defined weight corresponding to url,
represents 0 to n to sum A (i).
As a preferred scheme of the cloud-computing-based front-end navigation bar recommendation method and the terminal device of the present invention, wherein: the behavior heat weight calculation function gx:
in the formula, B represents the current access times of users, eta represents the global heat behavior proportion, sumuerl represents the access times of all users to url,
represents the sum of the access times of all users to all urls, k represents the percentage of the hot behavior of the users, sum represents the total access times of the users to the current url,
representing the total number of accesses of all urls for the user and n representing the number of iterations.
As a preferred scheme of the cloud-computing-based front-end navigation bar recommendation method and the terminal device of the present invention, wherein: a terminal device includes a first terminal unit having a first terminal unit,
the operation module is used for inputting a request by a user;
the response module is used for displaying the input request and the navigation bar information pushed according to the request and is connected with the operation module;
the cloud module is used for processing the request and feeding back the updated navigation bar data to the response module;
and the storage module is connected with the cloud module.
As a preferred scheme of the cloud-computing-based front-end navigation bar recommendation method and the terminal device of the present invention, wherein: the cloud module comprises a first processing unit and a second processing unit, the first processing unit is used for processing the current url weight manually updated by a user and updating the navigation bar data according to the current url weight, and the second processing unit is used for analyzing the processing request and calling the url data in the storage module.
The invention has the beneficial effects that: the method and the device can display different navigation bars and arrange the priority of the navigation bars according to the global heat, the user use heat and the user defined weight, and are convenient for the user navigation bars to find the concerned page.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is an overall flow diagram of a front-end navigation bar recommendation method based on cloud computing and a terminal device according to the present invention.
Fig. 2 is a schematic view of a flow chart of updating navigation bar data according to a current url weight according to the cloud computing-based front-end navigation bar recommendation method and the terminal device of the present invention.
Fig. 3 is a schematic view of a flow chart of updating navigation bar data according to a current url weight according to the cloud computing-based front-end navigation bar recommendation method and the terminal device of the present invention.
Fig. 4 is a schematic diagram of a front-end navigation bar recommendation method based on cloud computing and a terminal device physical structure of the terminal device according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Furthermore, the present invention is described in detail with reference to the schematic drawings, and in the detailed description of the embodiments of the present invention, the cross-sectional views illustrating the device structure are not enlarged partially according to the general scale for the convenience of illustration, and the schematic drawings are only examples, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Example 1
Referring to fig. 1, there is provided an overall structure schematic diagram of a cloud-computing-based front-end navigation bar recommendation method, as shown in fig. 1, the cloud-computing-based front-end navigation bar recommendation method includes,
s1: updating the navigation bar data according to the weight of the current url;
s2: the user acquires the latest navigation bar information data.
The method and the device can display different navigation bars and arrange the priority of the navigation bars according to the global heat, the user use heat and the user defined weight, and are convenient for the user navigation bars to find the concerned page.
Specifically, the main structure of the present invention includes S1: updating the navigation bar data according to the weight of the current url;
further, the step of updating the navigation bar data according to the weight of the current url includes:
s11: a user accesses a server and sends a request;
s12: the cloud computing module acquires url data according to the request and forwards the request to the service module;
s13: acquiring the weight of the current url through cloud computing;
s14: updating the navigation bar data and the url data according to the weight of the current url;
s15: the user acquires the latest navigation bar information data.
The url data comprises the current user access times, the current user access times of the current url and the access times of all users of the current url; when the method is used, a user normally accesses, at the moment, the cloud computing module obtains url data and forwards a request to a service side (the cloud computing module asynchronously computes and updates navigation bar data without blocking normal url access), the cloud module obtains the access times of the current user and calls the url data, the access times of the url of the current user and the access times of the urls of all users can be obtained according to the url data, then the weight of the current url is calculated according to a cloud computing y obtaining formula, navigation bar information corresponding to the current user is updated, and meanwhile, the access times of the current user of the url data are enabled to be +1, the access times of the url of the current user are enabled to be +1, and the access times of the urls of all users are enabled to be + 1.
Further, updating the navigation bar data according to the weight of the current url comprises the following steps:
s21: the user manually updates the current url weight;
s22: updating the navigation bar data according to the current url weight;
s23: and calculating the display weight of all urls according to cloud computing.
It should be noted that the navigation bar data includes the number of times of access of the current user, the number of times of access of the current user of the current url, and the number of times of access of all users of the current url.
Further, the weight of the current url is obtained through cloud computing y, and the cloud computing y adopts the following formula:
y＝αf(x)+βg(x)
in the formula, alpha represents a user-defined weight proportion, beta represents a behavior heat proportion, the value range of the user-defined weight proportion alpha and the behavior heat proportion beta is 0-1, f (x) is a user-defined weight calculation function, and g (x) is a behavior heat weight calculation function.
Wherein, the user-defined weight calculation function f (x) is:
in the formula, A represents the user-defined weight corresponding to url,
the expression denotes summing A (i) from 0 to n.
Wherein, the behavior heat weight calculation function gx:
in the formula, B represents the current access times of the user, which indicates that the access weight of the user before the user logs in is larger, eta represents the global heat behavior proportion, the value range of the global heat behavior proportion eta is 0-1, sumuerl represents the access times of all users to url,
representing the sum of the access times of all users to all urls, k representing the user heat behavior occupation ratio, k representing the value range of the user heat behavior occupation ratio k being 0-1, sum (url _ user) representing the total access times of the user to the current url,
representing the total number of accesses by all urls for that user.
It should be noted that the values of α, β, η, and κ coefficients are self-defined and can be adjusted according to different actual needs, such as: the value of alpha can be correspondingly increased when the user-defined weight ratio is increased.
S2: the user acquires the latest navigation bar information data.
In order to verify the technical effects adopted in the method, the embodiment adopts the traditional technical scheme and the method of the invention to carry out comparison test, and compares the test results by means of scientific demonstration to verify the real effect of the method.
In this experiment, after a user opens a certain webpage, the user can cause the weight distribution values to be all transferred to the certain webpage, which makes the weight distribution values of other webpages 0, so that other webpage resources cannot be browsed quickly, and the corresponding transfer matrix is:
the iteration continues, and after the iteration:
by applying the weight calculation formula of the method, the obtained webpage weight is as follows:
according to the weight calculation result, the weight calculation amount is obviously reduced, so that a user can easily obtain webpage resources with higher weight, and the user can easily find a concerned page from the navigation bar.
Example 2
Referring to fig. 2, this embodiment is different from the first embodiment in that: the terminal equipment comprises an operation module 100, wherein the operation module 100 is used for inputting a request by a user; a response module 200 for displaying the input request and the navigation bar information pushed according to the request, and connected to the operation module 100; the cloud module 300 is used for processing the request and feeding back the updated navigation bar data to the response module 200; and the storage module 400 is connected with the cloud module 300. Specifically, the terminal device includes an operation module 100, where the operation module 100 is used for a user to input a request; a response module 200 for displaying the input request and the navigation bar information pushed according to the request, and connected to the operation module 100; the cloud module 300 is used for processing the request and feeding back the updated navigation bar data to the response module 200; the storage module 400 is connected with the cloud module 300; it should be noted that the operation module 100 is a keyboard or a writing pen; the response module 200 is a display screen, the cloud module 300 is a processor, and the storage module 400 is a memory bank.
Further, the cloud module 300 includes a first processing unit 301 and a second processing unit 302, the first processing unit 301 is configured to process the user to manually update the current url weight and update the navigation bar data according to the current url weight, and the second processing unit 302 is configured to analyze the processing request and call the url data in the storage module 400.
It is important to note that the construction and arrangement of the present application as shown in the various exemplary embodiments is illustrative only. Although only a few embodiments have been described in detail in this disclosure, those skilled in the art who review this disclosure will readily appreciate that many modifications are possible (e.g., variations in sizes, dimensions, structures, shapes and proportions of the various elements, values of parameters (e.g., temperatures, pressures, etc.), mounting arrangements, use of materials, colors, orientations, etc.) without materially departing from the novel teachings and advantages of the subject matter recited in this application. For example, elements shown as integrally formed may be constructed of multiple parts or elements, the position of elements may be reversed or otherwise varied, and the nature or number of discrete elements or positions may be altered or varied. Accordingly, all such modifications are intended to be included within the scope of this invention. The order or sequence of any process or method steps may be varied or re-sequenced according to alternative embodiments. In the claims, any means-plus-function clause is intended to cover the structures described herein as performing the recited function and not only structural equivalents but also equivalent structures. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the exemplary embodiments without departing from the scope of the present inventions. Therefore, the present invention is not limited to a particular embodiment, but extends to various modifications that nevertheless fall within the scope of the appended claims.
Moreover, in an effort to provide a concise description of the exemplary embodiments, all features of an actual implementation may not be described (i.e., those unrelated to the presently contemplated best mode of carrying out the invention, or those unrelated to enabling the invention).
It should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort might be complex and time consuming, but would nevertheless be a routine undertaking of design, fabrication, and manufacture for those of ordinary skill having the benefit of this disclosure, without undue experimentation.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. A front-end navigation bar recommendation method based on cloud computing is characterized by comprising the following steps: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
updating the navigation bar data according to the weight of the current url;
the user acquires the latest navigation bar information data.
2. The cloud-computing-based front-end navigation bar recommendation method of claim 1, wherein: the step of updating the navigation bar data according to the weight of the current url comprises:
a user accesses a server and sends a request;
the cloud computing module acquires url data according to the request and forwards the request to the service module;
acquiring the weight of the current url through cloud computing;
updating the navigation bar data and the url data according to the weight of the current url;
the user acquires the latest navigation bar information data.
3. The cloud-computing-based front-end navigation bar recommendation method of claim 2, wherein: the url data comprises the current user access times, the current user access times of the current url and the access times of all users of the current url.
4. The cloud-computing-based front-end navigation bar recommendation method according to any one of claims 1 to 3, characterized by comprising: the updating of the navigation bar data according to the weight of the current url comprises the following steps:
the user manually updates the current url weight;
updating the navigation bar data according to the current url weight;
and calculating the display weight of all urls according to cloud computing.
5. The cloud-computing-based front-end navigation bar recommendation method of claim 4, wherein: the navigation bar data includes current url access times, url total access times and url user manual configuration weights.
6. The cloud-computing-based front-end navigation bar recommendation method of claim 5, wherein: the weight of the current url is obtained through cloud computing y, and the cloud computing y adopts the following formula:
y＝αf(x)+βg(x)
wherein, α represents the user-defined weight ratio, β represents the behavior heat ratio, f (x) is the user-defined weight calculation function, and g (x) is the behavior heat weight calculation function.
7. The cloud-computing-based front-end navigation bar recommendation method of claim 6, wherein: the user-defined weight calculation function f (x) is:
in the formula, A represents the user-defined weight corresponding to url,
denotes summing A (i) from 0 to n.
8. The cloud-computing-based front-end navigation bar recommendation method according to claim 6 or 7, characterized by: the behavior heat weight calculation function g (x):
in the formula, B represents the current access times of users, eta represents the global heat behavior proportion, sum (url) represents the access times of all users to url,
represents the sum of the access times of all users to all urls, k represents the percentage of the hot behavior of the users, sum represents the total access times of the users to the current url,
representing the total number of accesses of all urls for the user and n representing the number of iterations.
9. A terminal device characterized by: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
an operation module (100), the operation module (100) being for a user to input a request;
the response module (200) is used for displaying the input request and the navigation bar information pushed according to the request and is connected with the operation module (100);
a cloud module (300) for processing the request and feeding back the updated navigation bar data to the response module (200);
a storage module (400) establishing a connection with the cloud module (300).
10. The terminal device of claim 9, wherein: the cloud module (300) comprises a first processing unit (301) and a second processing unit (302), wherein the first processing unit (301) is used for processing a user to manually update the current url weight and update the navigation bar data according to the current url weight, and the second processing unit (302) is used for analyzing a processing request and calling the url data in the storage module (400).
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