CN112825085A - File push optimization method, storage medium, device and terminal equipment - Google Patents
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Abstract
The application provides a document push optimization method, a storage medium, a device and a terminal device, and relates to the technical field of networks. In the method, when a page login request of a user ID is received, whether the user ID is the first login is verified; when a user ID is logged in for the first time, acquiring page element data of a webpage browsed by the user ID and recording browsing operation and operation time of the user ID aiming at the page element, wherein the page element data comprises page color data and/or page style data; matching the page element data with browsing operation and operation time to determine the corresponding relation among the user ID, the page element data and the operation time; judging the visual preference of the user ID according to the corresponding relation among the user ID, the page element data and the operation time; and when the same user ID logs in again, the file information is pushed to the user ID by corresponding page element data according to the visual preference of the user ID.
Description
Technical Field
The application belongs to the technical field of computers, and particularly relates to a document pushing optimization method, a storage medium, a device and a terminal device.
Background
With the rapid development of the internet, more and more application programs or web pages push a document to a user in an information push mode, the document is prompt content presented to the user and can be language characters, pictures and hyperlinks. Therefore, how to recommend the color-like file to the user becomes a appeal for the development of the current social network mall.
In the prior art, in the page design process, the overall color and theme of a page are designed in advance and are written in program codes by developers during software development.
The technical scheme in the prior art has the following defects: the whole color and theme of the page cannot be changed, and because different users have different preferences on the color and the vision of the page, the traditional webpage design only enables a part of users to be interested, and cannot attract other users, and the like, so that the browsing amount of the webpage cannot be increased.
Disclosure of Invention
In view of the above problems, the present application provides a document push optimization method, a storage medium, an apparatus, and a terminal device, so as to improve accuracy of document push for user visual preference and improve user experience. Here, the user refers to a person using a computer or a network service, and usually has a user account and is identified by a user ID. In a certain sense, the ID is an abstract noun, and may be a user name, a MAC address, or an IP address, without limitation. For ease of description, a user or user ID or ID is used hereinafter to refer to all of the above.
In order to solve the problems that in the prior art, the document pushing caused by different visual preferences of users has deviation and the user experience is poor, the technical scheme provided by the embodiment of the application is as follows:
in a first aspect, an embodiment of the present application provides a document pushing optimization method, including the following steps:
when a page login request of a user ID is received, verifying whether the user ID is the first login;
when a user ID is logged in for the first time, acquiring page element data of a webpage browsed by the user ID and recording browsing operation and operation time of the user ID aiming at the page element, wherein the page element data comprises page color data and/or page style data;
matching the page element data with browsing operation and operation time to determine the corresponding relation among the user ID, the page element data and the operation time;
judging the visual preference of the user ID according to the corresponding relation among the user ID, the page element data and the operation time;
and when the same user ID logs in again, the file information is pushed to the user ID by corresponding page element data according to the visual preference of the user ID.
Preferably, the page color data is a CSS color category of each element of the page and/or the page style data is a CSS style category of each element of the page.
Preferably, the acquiring of the page element data of the webpage browsed by the user ID specifically includes:
and acquiring page element data of a webpage browsed by the user ID by adopting a crawler technology, and storing the page element data and the user ID in a page element data table in a one-to-one correspondence manner.
Preferably, recording browsing operation and operation time of the user ID for the page element specifically includes:
and acquiring operation and operation time when the user ID browses the page by adopting a buried point technology, and storing the browsing operation and operation time and the user ID in an operation time data table in a one-to-one correspondence manner.
Preferably, matching the page element data with browsing operation and operation time, and establishing a corresponding relationship between a user ID, the page element data and the operation time, specifically includes:
cleaning data in the page element data table and the operation time data table;
and summarizing the operation time of the same page element data in the cleaned page element data table and the operation time data table through linked table query and linked calculation to obtain the corresponding relation among the user ID, the different page element data and the corresponding operation time.
Preferably, the element time transition table is used for recording the corresponding relation among the user ID, the element data of different pages and the corresponding operation time.
Preferably, the determining the visual preference of the user ID according to the corresponding relationship between the user ID, the page element data and the operation time specifically includes:
and acquiring a page element data record of the user ID on an element field in the element time transition table and an operation time record corresponding to the page element data record, and judging the visual preference of the ID according to the operation time of the user ID on different page element data.
In a second aspect, the present application provides a computer storage medium storing a computer program for implementing the above method.
In a third aspect, an embodiment of the present application provides a document pushing optimization device, including:
the verification module is used for verifying whether the user ID is the first login when the page login request of the user ID is received;
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring page element data of a webpage browsed by a user ID and recording browsing operation and operation time of the user ID aiming at the page element when the user ID is logged in for the first time, and the page element data comprises page color data and/or page style data;
the matching module is used for matching the page element data with browsing operation and operation time and determining the corresponding relation between the user ID, the page element data and the operation time;
the judging module is used for judging the visual preference of the user ID according to the corresponding relation among the user ID, the page element data and the operation time;
and the pushing module is used for pushing the file information to the ID by using the corresponding page element data according to the visual preference of the user ID when the same user ID logs in again.
In a fourth aspect, an embodiment of the present application provides a terminal device, including a memory and a processor, where the memory is used to store a computer program, and the computer program implements the steps of the above method when executed by the processor.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects: the method adopts the crawler technology to crawl the CSS style category and the CSS color category of the webpage browsed by the user in the network mall for the first time and the retention time of the user on the current page, judges the visual preference of the user by analyzing and calculating the crawled data, when the user logs in the network mall again to browse the webpage, the server side recommends the document with the favorite color and style of the user to the user according to the visual preference of the user, the document recommending method aims at different preferences of different users on the color and the vision of the document, through personalized recommendation, the visual preference of all users can be met, compared with the traditional file pushing mode, the traditional single-form resource waste is avoided, more eyeballs of the users can be attracted, the time for the users to browse the web pages is prolonged, the method and the device greatly improve the accuracy of document recommendation while bringing better user experience to the user, and completely present the best visual effect in a more humanized and intelligent manner from the user perspective.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flow chart of a document push optimization method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of another document pushing optimization method provided in the embodiment of the present application;
fig. 3 is a schematic flowchart of another document pushing optimization method according to an embodiment of the present application;
fig. 4 is a user preference table matched according to preference information according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a document push optimization method provided in the present application, and the following description is made in detail with reference to steps S100 to S150.
Step S100: when a page login request of a user ID is received, whether the user ID is the first login is verified.
Step S110: when the user ID is logged in for the first time, page element data of a webpage browsed by the user ID is obtained, wherein the page element data comprises page color data and/or page style data.
Step S120: and recording the browsing operation and the operation time of the user ID for the page element.
Further, the page color data is a CSS color category of each element of the page and/or the page style data is a CSS style category of each element of the page.
Further, acquiring page element data of the webpage browsed by the user ID specifically includes:
the method comprises the steps of acquiring page element data of a webpage browsed by a user by adopting a crawler technology, and storing the page element data and a user ID in a page element data table in a one-to-one correspondence mode.
Further, recording browsing operation and operation time of the user ID for the page element specifically includes:
and acquiring operation time data of a user browsing page by adopting a point-burying technology, and storing browsing operation, operation time and a user ID in an operation time data table in a one-to-one correspondence manner.
Preferably, according to the embodiment of the present application, the matching of the page element data with the browsing operation and the operation time, and the establishing of the corresponding relationship between the user, the page element data, and the operation time specifically include:
cleaning data in the page element data table and the operation time data table;
and summarizing the operation time of the same page element in the cleaned page element data table and the operation time data table through linked table query and linked calculation to obtain the corresponding relation between the user, different page elements and the corresponding operation time.
Step S130: and matching the page element data with browsing operation and time, and determining the corresponding relation among the user, the page elements and the operation time.
Further, the corresponding relation among the user, different page element data and corresponding operation time is recorded by using a user element time transition table.
Step S140: and judging the visual preference of the user according to the corresponding relation among the user, the page element data and the operation time.
Further, the determining the visual preference of the user according to the corresponding relationship among the user, the page element data and the operation time specifically includes:
and acquiring a page element data record of the user on an element field in the user element time transition table and an operation time record corresponding to the page element data record, and judging the visual preference of the user according to the operation time of the user on different page element data.
Step S150: and when the user logs in again, the corresponding page element data is selected to push the file information to the user according to the visual preference of the user.
The CSS style type and the CSS color type of a webpage browsed by a user in a network mall for the first time and the retention time of the user on the current page can be crawled by adopting a crawler technology, the visual preference of the user is judged by analyzing and calculating crawled data, when the user logs in the network mall again to browse the webpage, a server side recommends a file which the user likes colors and styles to the user according to the visual preference of the user, the file recommending method can meet the visual preference of all the users by personalized recommendation aiming at different preferences of different users on the file colors and the vision, compared with the traditional file pushing mode, the resource waste of the traditional single form is avoided, more eyeballs of the users can be attracted, the webpage browsing time of the users is prolonged, better user experience is brought to the users, and the file recommending accuracy is greatly improved, the user can stand on the stand to more humanize and intelligently present the best visual effect completely.
Here, it should be noted that, in this embodiment, the browsing operation may be various operations on a page element when browsing a web page, for example, an operation of holding a mouse on a certain element or a plate when browsing a certain interface, and the corresponding operation time may be mouse or touch holding time. The user accessing the web mall browsing web page may also be a maintenance person who maintains the web mall browsing web page. Moreover, the present solution is by no means limited to browsing web pages in a web mall.
Example two
Referring to fig. 2, fig. 2 is a schematic flow chart of another document pushing optimization method provided in the present application, and the following description is made in detail with reference to steps S210 to S260.
Step S210: acquiring page element data;
when a user logs in a client side of a network mall to browse a webpage for the first time, page data of the current webpage browsed by the user are crawled through a crawler technology at a server side, and the crawled page data are stored in a server. The page data comprises webpage style data and webpage element data, the webpage style data is the CSS style category of each element of the current page, and the webpage element data is the CSS color category of each element of the current page. The process of acquiring page data by using the crawler technology actually captures the HTML webpage elements and attribute codes of the current webpage and the CSS webpage style codes of each element, after the capturing is successful, the server stores all captured data in a user element data table in a classified manner, the data correspond to the current user ID one by one, and the step S220 is executed while the page data is crawled.
Step S220: acquiring browsing operation and operation time data;
when a user logs in a client side of a network mall to browse a webpage for the first time, a time data of the webpage browsed by the user is obtained at a server side by adopting a point-burying technology, and the obtained time data and a current user ID are stored in a user time data table in a server in a one-to-one correspondence mode. Wherein the time data refers to the staying time of the user for browsing the current webpage. The specific process is as follows: when a user enters a client to access a certain webpage, the page to be accessed immediately starts a page timer to perform timing operation, when the user switches to the next webpage, the page timer immediately stops timing, the time difference between the timing starting time and the timing stopping time of the timer is transmitted to a server through a buried point interface, and then the server stores received time data in a user time data table and corresponds to the current user ID one by one.
Step S230: matching the acquired page element data with browsing operation and operation time data;
and cleaning and processing the crawled page data and time data at the server so as to remove invalid data and only keep useful data. After the data are preliminarily screened, performing 1-to-1 matching on CSS style data, CSS color data and operation time data in all page data at the server.
Step S240: acquiring a corresponding relation between a user and a page color and a page style;
and obtaining the corresponding relation between the user and the page element data and the operation time data through linked list query and data joint calculation, namely obtaining the corresponding relation between the user and the page color, the page style and the operation time, and further generating a user element time data list.
Step S250: judging the visual preference of the user based on the corresponding relation;
analyzing the user element time data table generated in the step S240 at the server, acquiring operation time data of a single user on a time field in the data table through the data table, acquiring element style data and element color data corresponding to browsing operation and time, sequencing the operation time of the user on each element style data and element color data from long to short, and further judging the visual preference of the user; and finally, analyzing and sorting the visual preference data of all the users in a traversal mode to generate a user visual preference data table shown in fig. 4.
Step S260: pushing the file information to the user according to the visual preference of the user;
when a user logs in the client to browse the webpage again, the current webpage browsed by the user immediately sends an access request to the server, after the server receives the access request sent by the client webpage, the server selects visual preference data corresponding to the user ID from the information base according to the user ID of the current visitor, so that the display element style and the main body color information preferred by the user are obtained, the information is fed back to the current page in a layer rendering mode, and then the fact that the document information is pushed to the user according to the visual preference of the user is achieved.
EXAMPLE III
In an implementation manner, step S210 may further be:
step S210: and acquiring page element data.
When a user logs in a client side of a network mall to browse a webpage for the first time, page data of the current webpage browsed by the user are acquired at a server side through a point burying technology, and the acquired page data are stored in a server. The specific operation method is as follows: adding a point embedding operation to each picture of a client, when a user browses a certain webpage and clicks a certain picture in the webpage, immediately executing the point embedding operation of the picture, transmitting current picture information browsed by the user to a server, acquiring element information and theme color liked by the current user through the received picture information by the server, and capturing the time of browsing the page by the user after the acquisition is successful.
In summary, the application judges the visual preference of the user by crawling the CSS style category and the CSS color category of the webpage browsed by the user in the network mall for the first time and analyzing and calculating the crawled data, when the user logs in the network mall again to browse the webpage, the server side recommends the document with the favorite color and style of the user to the user according to the visual preference of the user, the document recommending method aims at different preferences of different users on the color and the vision of the document, through personalized recommendation, the visual preference of all users can be met, compared with the traditional file pushing mode, the traditional single-form resource waste is avoided, more eyeballs of the users can be attracted, the time for the users to browse the web pages is prolonged, the method and the device greatly improve the accuracy of document recommendation while bringing better user experience to the user, and completely present the best visual effect in a more humanized and intelligent manner from the user perspective.
Example four
Referring to fig. 3, fig. 3 is a schematic flow chart of another document pushing optimization method provided in the embodiment of the present application,
the technical solution of the present application will be further explained with reference to steps S410-S460.
Step S410: the user enters the client to browse the web page for the first time, and step S420 is executed when the user browses the web page.
Step S420: the webpage system captures attributes and CSS styles of current webpage elements through a crawler technology, and the specific execution method is that when a user browses a page, a server conducts crawler operation on a webpage of the server through the crawler technology, captures HTML (hypertext markup language) of the current webpage, colors of the current webpage and CSS (cascading style sheets) codes of each element, and after capture is successful, the server stores all data of the current webpage in a user-element table in a classified mode and corresponds to current user id one to one. Step S430 is performed simultaneously with the capturing.
Step S430: the client captures the time of a user on a current page in a point burying mode, the specific method is that when the user clicks one of the web pages, the page immediately opens the page timer, the timer does not affect the user experience, when the user switches the next page, the historical timer stops, the time difference between two sections is transmitted to the server through a point burying interface, and the server stores the data in a user-time database table and corresponds to the current user id one by one. After both capturing are successful, step S440 is performed.
Step S440: and the server side cleans and arranges the captured page data. The "user-element" and "user-time" tables are matched 1 to form a "user-element-time" transition table, and after the transition table is formed, step 450 is performed.
Step S450: analyzing the current transition table 'user-element-time', acquiring the longest record of a single user in the 'time' field through the data table, analyzing and sorting all users in a traversal mode to finally form the user preference table of fig. 4, and executing step S460 when the user logs in the client again.
Step S460: when the user logs in the client again, the user immediately requests the server, the server receives an access request of the client, and selects a target display element and a main body color from the information base according to the user id of the current visitor, so that user preference information is obtained, and the user preference information is fed back to the current page in a layer rendering mode.
According to the method provided by the embodiment, the code of the current page style of the user is crawled through a crawler technology, the code style is analyzed, and the code style is analyzed according to the actual staying time of the user on the page and the actual staying time of the user on the page, so that the visual preference of the user is deduced, and better visual experience is provided for the user.
EXAMPLE five
The embodiment of the present application further provides a document pushing optimization device, and the device includes:
the verification module is used for verifying whether the user ID is the first login when the page login request of the user ID is received;
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring page element data of a webpage browsed by a user ID and recording browsing operation and operation time of the user ID aiming at the page element when the user ID is logged in for the first time, and the page element data comprises page color data and/or page style data;
the matching module is used for matching the page element data with browsing operation and operation time and determining the corresponding relation between the user ID, the page element data and the operation time;
the judging module is used for judging the visual preference of the user ID according to the corresponding relation among the user ID, the page element data and the operation time;
and the pushing module is used for pushing the file information to the ID by using the corresponding page element data according to the visual preference of the user ID when the same user ID logs in again.
For convenience and simplicity of description, the specific working process of the document pushing optimization device may refer to the corresponding process in the foregoing method, and will not be described in detail herein.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application.
Claims (10)
1. A file push optimization method is characterized by comprising the following steps:
when a page login request of a user ID is received, verifying whether the user ID is the first login;
when a user ID is logged in for the first time, acquiring page element data of a webpage browsed by the user ID and recording browsing operation and operation time of the user ID aiming at the page element, wherein the page element data comprises page color data and/or page style data;
matching the page element data with browsing operation and operation time to determine the corresponding relation among the user ID, the page element data and the operation time;
judging the visual preference of the user ID according to the corresponding relation among the user ID, the page element data and the operation time;
and when the same user ID logs in again, the file information is pushed to the user ID by corresponding page element data according to the visual preference of the user ID.
2. The method of claim 1, wherein the page color data is a CSS color class of each element of a page and/or the page style data is a CSS style class of each element of a page.
3. The method according to claim 1 or 2, wherein the obtaining of the page element data of the web page browsed by the user ID specifically comprises:
and acquiring page element data of a webpage browsed by the user ID by adopting a crawler technology, and storing the page element data and the user ID in a page element data table in a one-to-one correspondence manner.
4. The method according to claim 3, wherein recording browsing operation and operation time of the user ID for the page element specifically comprises:
and acquiring operation and operation time when the user ID browses the page by adopting a buried point technology, and storing the browsing operation and operation time and the user ID in an operation time data table in a one-to-one correspondence manner.
5. The method of claim 4, wherein: matching the page element data with browsing operation and operation time, and establishing a corresponding relation among a user ID, the page element data and the operation time, wherein the method specifically comprises the following steps:
cleaning data in the page element data table and the operation time data table;
and summarizing the operation time of the same page element data in the cleaned page element data table and the operation time data table through linked table query and linked calculation to obtain the corresponding relation among the user ID, the different page element data and the corresponding operation time.
6. The method of claim 5, wherein: and recording the corresponding relation among the user ID, the element data of different pages and the corresponding operation time by using the element time transition table.
7. The method according to claim 6, wherein the determining the visual preference of the user ID according to the corresponding relationship among the user ID, the page element data and the operation time specifically comprises:
and acquiring a page element data record of the user ID on an element field in the element time transition table and an operation time record corresponding to the page element data record, and judging the visual preference of the ID according to the operation time of the user ID on different page element data.
8. A computer storage medium, characterized in that the storage medium stores a computer program for implementing the method according to any one of claims 1-7.
9. A document pushing optimization device is characterized by comprising:
the verification module is used for verifying whether the user ID is the first login when the page login request of the user ID is received;
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring page element data of a webpage browsed by a user ID and recording browsing operation and operation time of the user ID aiming at the page element when the user ID is logged in for the first time, and the page element data comprises page color data and/or page style data;
the matching module is used for matching the page element data with browsing operation and operation time and determining the corresponding relation between the user ID, the page element data and the operation time;
the judging module is used for judging the visual preference of the user ID according to the corresponding relation among the user ID, the page element data and the operation time;
and the pushing module is used for pushing the file information to the ID by using the corresponding page element data according to the visual preference of the user ID when the same user ID logs in again.
10. A terminal device, characterized in that it comprises a memory for storing a computer program which, when executed by the processor, implements the steps of the method according to any one of claims 1-7, and a processor.
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