CN112035744B

CN112035744B - Page recommendation method, device, equipment and storage medium

Info

Publication number: CN112035744B
Application number: CN202010898605.2A
Authority: CN
Inventors: 康岩基
Original assignee: CCB Finetech Co Ltd
Current assignee: CCB Finetech Co Ltd
Priority date: 2020-08-31
Filing date: 2020-08-31
Publication date: 2023-07-25
Anticipated expiration: 2040-08-31
Also published as: CN112035744A

Abstract

The embodiment of the invention discloses a page recommendation method, device, equipment and storage medium. The method comprises the following steps: collecting browser behavior data of each client, generating at least one page chain corresponding to each client, wherein the page chain comprises: a page set formed according to a set organization sequence; responding to an access request of a target client to a target page, and determining at least one prediction result page matched with the target page according to at least one target page chain corresponding to the target client; and providing the description information of each prediction result page to the target client. According to the method, the next behavior of the user can be predicted through the browser behavior data of the user, the description information of the predicted result page corresponding to the next walk can be directly provided for the user, so that the predicted result page corresponding to the next walk can be accessed, the operation steps of the user in browser access can be reduced, and the operation time of the user is saved.

Description

Page recommendation method, device, equipment and storage medium

Technical Field

The embodiment of the invention relates to the technical field of communication, in particular to a page recommendation method, device, equipment and storage medium.

Background

A browser is an application program for retrieving, exposing, and delivering World Wide Web (Web) information resources. The user can query the associated information via the browser via the hyperlink. With the development of communication technology, a browser is not only a tool for information query, but also a tool for some transaction processing, such as shopping, booking tickets, or completing some workflow.

In the prior art, the stay time of the page in the browser and the collection of the page content information are used for analyzing the page content and pushing related browsing information for the user. However, the pushing of the prior art is only one type of pushing for browsing content, for example, when a user queries for sports while shopping, articles related to sports such as sports shoes, running wear, yoga mats, etc. may be pushed for the user. The pushing in the prior art cannot predict the next action of the user, and cannot save the operation steps and operation time of the user in browser access.

Disclosure of Invention

The embodiment of the invention provides a page recommendation method, device, equipment and storage medium, which can predict the next step of a user and provide corresponding pages, and can reduce the operation steps and operation time of the user.

In a first aspect, an embodiment of the present invention provides a page recommendation method, where the method is executed by a server, and includes:

collecting browser behavior data of each client, and generating at least one page chain corresponding to each client, wherein the page chain comprises: a page set formed according to a set organization sequence;

responding to an access request of a target client to a target page, and determining at least one prediction result page matched with the target page according to at least one target page chain corresponding to the target client;

and providing the description information of each prediction result page to the target client.

In a second aspect, an embodiment of the present invention provides a page recommendation method, where the method is executed by a client, and includes:

recording browser behavior data, and providing the browser behavior data to a server to instruct the server to generate at least one page chain corresponding to a client according to the browser behavior data, wherein the page chain comprises: a page set formed according to a set organization sequence;

sending an access request for a target page to the server so as to acquire page data of the target page from the server for local display;

In the process of accessing a target page, receiving description information corresponding to at least one predicted result page matched with the target page and provided by the server;

and displaying the description information corresponding to each predicted result page in the target page.

In a third aspect, an embodiment of the present invention further provides a page recommendation device, where the device is configured in a server, and includes:

the page chain generation module is used for collecting browser behavior data of each client and generating at least one page chain corresponding to each client, and the page chain comprises: a page set formed according to a set organization sequence;

the prediction result page determining module is used for responding to an access request of a target client to a target page and determining at least one prediction result page matched with the target page according to at least one target page chain corresponding to the target client;

and the descriptive information providing module is used for providing descriptive information of each prediction result page to the target client.

In a fourth aspect, an embodiment of the present invention further provides a page recommendation device, where the device is configured in a client, and includes:

The browser behavior data providing module is used for recording browser behavior data and providing the browser behavior data to the server so as to instruct the server to generate at least one page chain corresponding to the client according to the browser behavior data, wherein the page chain comprises: a page set formed according to a set organization sequence;

the access request sending module is used for sending an access request for a target page to the server so as to acquire page data of the target page from the server for local display;

the descriptive information receiving module is used for receiving descriptive information corresponding to at least one prediction result page matched with the target page and provided by the server in the process of accessing the target page;

and the descriptive information display module is used for displaying descriptive information corresponding to each predicted result page in the target page.

In a fifth aspect, an embodiment of the present invention further provides an electronic device, including:

one or more processors;

storage means for storing one or more programs,

the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a page recommendation method as described in any embodiment of the present invention.

In a sixth aspect, an embodiment of the present invention further provides a computer readable storage medium, where a computer program is stored, where the program when executed by a processor implements a page recommendation method according to any embodiment of the present invention.

According to the technical scheme, browser behavior data of each client are collected to generate at least one page chain corresponding to each client, and the page chain comprises: a page set formed according to a set organization sequence; responding to an access request of a target client to a target page, and determining at least one prediction result page matched with the target page according to at least one target page chain corresponding to the target client; the description information of each predicted result page is provided for the target client, the problem of recommending the browser page is solved, the next behavior of the user is predicted according to the behavior data of the browser of the user, and the description information of the corresponding page is provided, so that the operation steps of the user in the browser access are reduced, and the operation time of the user is saved.

Drawings

FIG. 1 is a flowchart of a page recommendation method according to an embodiment of the present invention;

FIG. 2 is a flowchart of a page recommendation method according to a second embodiment of the present invention;

FIG. 3 is a flowchart of a page recommendation method according to a third embodiment of the present invention;

FIG. 4 is a flowchart of a page recommendation method according to a third embodiment of the present invention;

fig. 5 is a schematic structural diagram of a page recommendation device according to a fourth embodiment of the present invention;

fig. 6 is a schematic structural diagram of a page recommendation device according to a fifth embodiment of the present invention;

fig. 7 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present invention.

Detailed Description

The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.

Example 1

Fig. 1 is a flowchart of a page recommending method according to an embodiment of the present invention, where the method is applicable to a case where a user predicts a user behavior to reduce user operation steps when a user performs a transaction in a browser, and the method may be performed by a page recommending apparatus, where the apparatus may be implemented by software and/or hardware, and the apparatus may be integrated in a server, as shown in fig. 1, and the method specifically includes:

And 110, collecting browser behavior data of each client, and generating at least one page chain corresponding to each client.

Wherein, the page chain includes: and the page set is formed according to the set organization sequence. The client may have browser-type access functionality, for example, it may be a browser-type client or an application client with embedded web pages. The browser behavior data may be data generated by a user accessing a web page at a client, for example, data related to the access content of the user on a certain web page, access time, access times, and skip relations among pages. The collecting of the browser behavior data of the client may be that the client actively reports log data, and the browser behavior data is determined through the log data. For example, the server may determine data such as user information, access address information, access time, request mode, request parameters, and the like by collecting log data of the client.

The server may generate a chain of pages based on the browser behavior data. The page chain may refer to a data chain formed by data generated by at least one page access performed by a user in the client in a preset time period. For example, within 5 minutes, the user browses page a for 2 seconds, fills in a form for page b for 4 minutes, downloads a file for page c for 3 seconds, and browses information for 55 seconds in client a. The data generated by the access of page a, page b and page c and the jump process can be used as a page chain. That is, the page chain may include a plurality of pages and access data of each page, wherein the access data may be information such as an access order and an access time.

The set organization order may be consistent with the access order. Each page in the page chain may be a page of the same website, e.g., each page resulting from access to a shopping channel website. The manner of generating the page chain may be various, for example, the page chain may be generated according to data generated by accessing the same website in the browser behavior data within a preset time; alternatively, the page chain may be generated from all data generated from accesses to the same web site.

In order to specifically describe the page chains, in an embodiment of the present invention, optionally, collecting browser behavior data of each client, and generating at least one page chain corresponding to each client includes: and acquiring a plurality of pages with continuous access time and jump relation between adjacent pages from browser behavior data of the current client to form a page chain corresponding to the current client.

When a user accesses a browser in a client, the user usually jumps to the next page to access after a certain page stays for a period of time. For example, in some transactions, a user's browser access typically has the characteristics described above. For example, when a user shops in a browser, the user usually enters a home page of the browser to search a shopping page corresponding to a certain shopping channel, and performs login operation; and selecting a certain type of object of interest in the shopping page for searching, screening the certain type of object according to some attribute conditions, and selecting a desired object from the screened objects for purchasing. The server may use the browser behavior data generated when the item is purchased as a chain of pages corresponding to the client. For example, the page chain may be: accessing a shopping page to log in, searching for a certain type of article, screening according to a certain attribute condition, and purchasing the article on a certain screening page.

In order to accurately store the page chains, in an embodiment of the present invention, optionally, after collecting the browser behavior data of each client, generating at least one page chain corresponding to each client, the method further includes: and determining master station information corresponding to each page chain corresponding to the current client, and storing each page chain in a classified manner according to the master station information.

When a user accesses a browser in a client, the user usually does not singly access the same website, and each page chain may not be related to a certain website. Therefore, when a predicted result page matching a target page is determined from a page chain, it may be inconvenient to operate. In order to store the page chains in a standard manner, a prediction result page matched with a target page can be conveniently and quickly determined through the page chains in the later period.

The master station information may refer to information of a host name in a website corresponding to the page. Typically, the web address includes a protocol name such as HTTP, a host name such as www.XXX.com, and a path and file name. A hostname similar to www.XXX.com may be used as master information. When a user performs a transaction, a plurality of pages which are generally accessed all have the same master information. For example, when a user makes a purchase in a certain shopping channel, from the first page of the shopping channel to the end of the purchase, the user accesses a page corresponding to a web address related to the host name of the shopping channel. For another example, when the user orders a ticket, the page corresponding to the website address related to the host name of the ticket purchasing website is all accessed from logging in the first page of the ticket booking website to finishing the ticket booking. For another example, when a user logs in to a certain enterprise website to fill in and declare information, all the pages corresponding to the websites related to the host names of the enterprise website are accessed. The page chains are classified and stored through the master station information, so that when a user is determined to visit a certain website, the page chains with the consistent master station information can be quickly found, and the quick matching of the predicted result pages is facilitated.

Step 120, in response to an access request of the target client to the target page, determining at least one prediction result page matched with the target page according to at least one target page chain corresponding to the target client.

The user can initiate the access request of the target page in the client, and the client initiating the access request of the target page can be used as the target client. The target page may be a website that the user enters at the client, for example, a home page of a shopping channel, a home page of a ticket booking channel, a home page of an enterprise, or a home page of a school, etc. The target page chain may be generated from historical browser behavior data generated by a user making page accesses at the target client. The server may have page chains corresponding to a plurality of clients, and in order to predict the quick matching of the result pages and the accuracy of the matching, the target page chains corresponding to the target clients may be acquired first.

The predicted result page may be a page corresponding to the next behavior of the user determined according to the target page and the target page chain corresponding to the target client. For example, when the target page chain accesses the target page for the user, the page d can be used as a prediction result page through the page a, the page b and the page c to finally access the page d.

For example, when a target page chain is a website of a shopping channel, a user logs in, searches yoga, screens brands, prices and sales, and makes shopping on the screened page. The predicted outcome page may be a filtered page. When a user initiates a website access of a shopping channel at a client, the screened page can be directly determined to be a predicted result page, and the predicted result page is recommended to the user. Intermediate steps such as login, searching and screening of the user can be skipped, screening results can be directly returned, operation and time of the user are reduced, and user experience is improved.

In another example, when the target page chain logs in a website of a certain booking channel for a user, an origin and a destination are determined, a high-speed rail for departure in a certain time period in a certain departure date is determined, and ticket purchasing is performed. The prediction result page may be a page that determines that the origin corresponds to the destination and the high-speed rail that is driven for a certain period of time. When a user initiates a website access of a ticket booking channel at a client, a page corresponding to a high-speed rail which determines an origin and a destination and is launched in a certain time period can be directly used as a prediction result page, and the prediction result page is recommended to the user. Intermediate steps of user login, origin and destination determination, departure time period determination, vehicle type determination and the like can be skipped, transaction processing results can be directly returned, user operation and time are reduced, and user experience is improved.

In another exemplary embodiment, when the target page chain logs in a website of a certain enterprise or school for a user, information is filled and checked, and finally, an information filling result is printed on the information filling page. The prediction result page may be an information-filled page. When a user initiates a website of a certain enterprise or school at a client, the user can directly recommend the information filling page to the user. The process of jumping from the front page of the enterprise or school to the information filling page one by one can be skipped, the information filling page is directly returned, information change or result inquiry can be conveniently carried out on the information filling page by a user, the operation time of the user is reduced, and the user experience is improved.

It should be noted that, the predicted result page in this embodiment may also be a page of other application scenarios that are matched according to the target page. The matching predicted outcome page may be one or more for a target page. The predicted result page is used for reducing the operation steps and time of the user in browser access, especially when the user performs transaction processing operation, intermediate steps can be skipped, the transaction processing result can be directly returned, and the transaction processing efficiency is improved.

In order to quickly match more accurate predicted result pages for target pages, in an embodiment of the present invention, before determining at least one predicted result page matched with a target page according to at least one target page chain corresponding to a target client, the method further includes: and acquiring target master station information corresponding to the target pages, and determining at least one target page chain corresponding to the target client according to the target master station information.

When the target client initiates an access request of the target page to the server, the server can identify master station information of the target page as target master station information according to the website of the target page. The server can take the page chain with the master station information consistent with the target master station information in the page chains corresponding to the target client as a target page chain. The target page chain may include a target page, for example, when the target page is a website of a shopping channel, the target page chain may be generated by a page and data when a user makes shopping through the website of the shopping channel. One target page may have one or more chains of target pages.

In one implementation manner of the embodiment of the present invention, optionally, determining at least one predicted result page matching with the target page according to at least one target page chain corresponding to the target client includes: acquiring at least one alternative page chain from each target page chain; and generating at least one prediction result page according to the last page in each candidate page chain.

The target page chain may have a repetitive page chain, for example, when the user accesses the same website multiple times to perform the same or similar transaction, the repetitive page chain may be generated. The server may take any one of the repeated page chains and the non-repeated page chain in the target page chain as the candidate page chain. For example, the target page chains include a page chain 1, a page chain 2, and a page chain 3. The server may take page chain 1, page chain 2 and page chain 3 as alternative page chains.

The last page of the alternative page chain refers to the page when the user performs the last operation in the website in the browser access. For example, when the user shops, the page displayed by the item screening result can be the last page; or when the user orders a ticket, the page displayed by the screened train number result can be an end page; or when the user fills in the information in the website, the filled-in information page can be a last page; or when the user queries information in the browser, the page displayed by the final query result may be the last page, for example, when the user queries the patent related to the web page in the browser, the page displaying the web page patent may be the last page.

In some scenarios, the last page may be one page or multiple pages. For example, when the user purchases, the last page can be a page displayed by the item screening result, so that the user can purchase the item again; or the last page can be a page for successfully purchasing the article, so that a user can conveniently inquire order details, logistics information or goods refund and the like.

The prediction result page may be a page corresponding to the last page. For example, the last page is a page of the item screening result display, and the prediction result page may be a page of the item screening result display. Further, the prediction result page may be one or more. The predicted outcome page may also be determined based on the number of repetitions of the page chain in the target page chain. For example, for a page chain with a repetition number less than a preset number, the page chain may not be an alternative page chain, and the corresponding predicted result page may not be generated. The predicted result pages can be determined according to the page chains with more repetition times, so that the next step of behavior of the user can be predicted more accurately, and the situation that the user is disturbed due to too many predicted result pages provided for the user is avoided.

And 130, providing the description information of each prediction result page to the target client.

The description information may be page identification information of the prediction result page, for example, may be a page name of the prediction result page, or identification information summarized according to key content displayed by the prediction result page. For example, when the predicted result page is a screened yoga product page, the description information may be a yoga product, or a yoga product with certain attributes, etc. The client can receive the description information of each prediction result page sent by the server and can display the description information. The user may select any of the descriptive information in the client, for example, click, double click, or touch any of the descriptive information. The client can display the predicted result page corresponding to the selected description information according to the description information selected by the user, and can skip intermediate steps in the transaction processing to reach the transaction processing result page, so that the operation and time of the user are saved.

In one implementation manner of the embodiment of the present invention, optionally, after collecting the browser behavior data of each client, generating at least one page chain corresponding to each client, the method further includes: and carrying out user behavior analysis on each page chain corresponding to the current client to obtain behavior result data corresponding to each page chain.

The user behavior analysis may be content analysis, such as text analysis and access time analysis, of pages in a page chain. The behavioral result data may be an operation for determining the user through the page, for example, a product filtering result or an information filling result, etc.

In one implementation manner of the embodiment of the present invention, optionally, providing the description information of each prediction result page to the target client includes: and acquiring page chains respectively corresponding to the predicted result pages, and providing the description information of each predicted result page constructed by the behavior result data of each acquired page chain for the target client.

The description information of the prediction result page can be constructed through behavior result data of a corresponding page chain. For example, the behavior result data of the page chain is a yoga product screening, the description information of the corresponding predicted result page can be a yoga product screening result page, and a user can intuitively know key contents displayed on the predicted result page to be jumped through the description information.

According to the technical scheme, browser behavior data of each client are collected, at least one page chain corresponding to each client is generated, and the page chain comprises: a page set formed according to a set organization sequence; responding to an access request of a target client to a target page, and determining at least one prediction result page matched with the target page according to at least one target page chain corresponding to the target client; the description information of each predicted result page is provided for the target client, the problem of recommending the browser page is solved, the next behavior of the user is predicted according to the behavior data of the browser of the user, and the description information of the corresponding page is provided, so that the operation steps of the user in the browser access are reduced, and the operation time of the user is saved.

Example two

Fig. 2 is a flowchart of a page recommendation method provided in the second embodiment of the present invention, where the technical solution in this embodiment is further refined, and the technical solution in this embodiment may be combined with each of the alternatives in one or more embodiments. As shown in fig. 2, the method includes:

step 210, acquiring a plurality of pages with continuous access time and jump relation between adjacent pages in browser behavior data of the current client to form a page chain corresponding to the current client.

Wherein, the page chain includes: and the page set is formed according to the set organization sequence.

Step 220, determining master station information corresponding to each page chain corresponding to the current client, and storing each page chain in a classified mode according to the master station information.

Step 230, determining master station information corresponding to each page chain corresponding to the current client, and storing each page chain in a classified manner according to the master station information.

Step 240, at least one alternative page chain is obtained in each target page chain.

Step 250, generating at least one prediction result page according to the last page in each candidate page chain.

And 260, sorting the predicted result pages according to the chain weights of the page chains respectively corresponding to the predicted result pages, and providing the description information of the predicted result pages to the target client according to the sorting result.

The chain weight may be a weight of the page chain. Each page chain may have a chain weight, which may be the same for page chains that repeat each other. The determining mode of the chain weight is various, for example, the determining mode can be determined by the repetition number of the page chain, and the higher the repetition number is, the larger the chain weight is; or, the access time of the page chain can be determined, and the closer the access time is to the current time, the larger the chain weight is; or, can be determined by presetting a chain weight value; alternatively, the chain weights may be determined synthetically in a chain weight determination of one or more of the above.

In an exemplary embodiment, among the plurality of predicted result pages, a preset chain weight may be determined for the page chain in advance, and each predicted result page is provided to the client after being ordered according to the preset chain weight, so that popularization of some pages may be facilitated.

The ranking of the predicted outcome pages may be according to the corresponding chain weights, e.g., the higher the chain weight, the earlier the ranking of the corresponding predicted outcome pages may be. The prediction result can be more accurate, the user can obtain the prediction result page corresponding to the most possible operation preferentially, and the user experience is improved.

Specifically, in one implementation manner of the embodiment of the present invention, optionally, after collecting the browser behavior data of each client, generating at least one page chain corresponding to each client, the method further includes: and determining the chain weight corresponding to each page chain of the current client according to the access times and/or access time of each page chain corresponding to the current client.

The determination mode of the chain weight of the page chain can be various. For example, a mapping relationship between the number of accesses and/or access time of the page chain and the chain weight may be established. And determining the chain weight of the page chain according to the mapping relation, and further determining the ordering sequence of the corresponding predicted result pages according to the chain weight.

By way of example, the number of accesses (number of repetitions) of the page chain is greater than 10, and a chain weight of 0.65 may be determined; the access times (repetition times) of the page chain are more than 5 times and less than 10 times, and the weight of the chain can be determined to be 0.25; the number of accesses (repetition number) of the page chain is less than 5, and the chain weight can be determined to be 0.1.

Still another example, the access time of the page chain has a time difference of less than 1 day from the current time, and the chain weight may be determined to be 0.6; the time difference between the access time of the page chain and the current time is more than 1 day and less than 5 days, and the weight of the chain can be determined to be 0.2; the time difference between the access time of the page chain and the current time is more than 5 days and less than 15 days, and the weight of the chain can be determined to be 0.15; the access time of the page chain is greater than 15 days from the current time, and the chain weight can be determined to be 0.05. When determining that the time difference between the access time and the current time exists, the time difference between the access time and the current time of the repeated page chain, which is nearest to the current time, can be determined.

Still further exemplary, the chain weight may be determined based on the number of accesses and access time of the page chain. For example, the number of accesses (repetition number) of the page chain is greater than 10 times, and the time difference of the access time of the page chain from the current time is less than 1 day, it may be determined that the chain weight is 0.7.

Step 270, responding to the selection instruction of the target client to the description information of the target prediction result page, and providing the page data matched with the target prediction result page to the target client.

The server may rank the predicted result pages according to the size of the chain weight. The client can display the corresponding description information according to the ordering sequence of the predicted result pages. The user may select the descriptive information in the client, e.g. click, double click or touch etc. The client may send the description information selected by the user to the server, and the server may provide the page data matching the predicted result page corresponding to the description information to the client, so that the client jumps the target page to the predicted result page.

In order to implement the jump of the client to the predicted result page, in one implementation of the embodiment of the present invention, optionally, the browser behavior data includes at least: user information, access address information, request mode and request parameters; providing page data matching the target prediction result page to the target client, including: user information, access address information, request mode and request parameters matched with the target prediction result page are provided for the target client.

The user information may include information of a user using the device (or account information of the user) and information of a client, among others. The server generated page chains may be different, as well as the predicted outcome pages, for different usage devices and/or different clients. For example, when different using devices of the same client are all related transactions of shopping, the predicted result page generated by using the device I can be a screening page of yoga products; the predicted outcome page generated using device II may be a screening page for basketball products.

The access address information may include addresses of websites accessed by the user, and jump information between the plurality of websites. The request mode may include a request mode when the user accesses each website, such as a post request or a get request. The request parameters comprise account information, password information, webpage content related keyword information and the like of the user. The keyword information related to the web content may be some information when the user performs a transaction, for example, yoga, a certain brand, a certain price, a certain sales amount, etc.

The client can set an executor, and the executor can generate the target prediction result page according to the user information, the access address information, the request mode and the request parameters matched with the target prediction result page. For example, submitting request parameters and user information to a website corresponding to the access address information in a request mode to generate a target prediction result page.

According to the technical scheme, the prediction result pages are ordered according to the chain weights of the page chains corresponding to the prediction result pages, and the description information of the prediction result pages is provided for the target client according to the ordering result; in response to a selection instruction of the target client for the description information of the target predicted result page, page data matched with the target predicted result page is provided for the target client, the problem of page recommendation is solved, the predicted result page is recommended to a user according to chain weight, the user can acquire the most likely accessed page in time, and the operation steps and the operation time of the user can be saved.

Example III

Fig. 3 is a flowchart of a page recommending method according to a third embodiment of the present invention, where the method is applicable to a case where a user predicts that a user action decreases a user operation step when a user performs a transaction in a browser, and the method may be performed by a page recommending apparatus, where the apparatus may be implemented by software and/or hardware, and the apparatus may be integrated in an electronic device, such as a mobile phone or a computer, as shown in fig. 3, and the method specifically includes:

step 310, browser behavior data is recorded, and the browser behavior data is provided to the server, so that the server is instructed to generate at least one page chain corresponding to the client according to the browser behavior data.

The client may record browser behavior data in the form of a log. The client may report log data, i.e. browser behavior data, to the server. The server may generate the corresponding page chain according to the browser behavior data, and the specific generation manner may be the same as or similar to the generation manner of the page chain in the foregoing embodiment.

Step 320, sending an access request to the target page to the server, so as to obtain the page data of the target page from the server for local display.

The user may make an access request of the target page in the client, for example, the user may input a website of the target page in the client or enter the target page through keyword search in the client (browser). The client may request the server to provide page data related to the target page using the web address of the target page, the user information, and the like as an access request. The client can display the target page locally according to the page data. The page data may include page user information, access address information, a request mode, a request parameter, content data and image data required when rendering the target page, and the like.

Step 330, in the process of accessing the target page, the description information corresponding to at least one predicted result page matched with the target page and provided by the server is received.

The server can determine a target page chain according to target master station information of the target page, determine a prediction result page according to the target page chain, and construct description information according to behavior result data of the page chain corresponding to the prediction result page. The process of determining the predicted result page and the description information by the server according to the target page may be the same as or similar to the generating process of the predicted result page and the description information in the above embodiment, and will not be repeated here. When the client accesses the target page, the server can provide the description information corresponding to the predicted result page for the client.

And 340, displaying the description information corresponding to each prediction result page in the target page.

The client can display the received description information in the target page display. The description information may be displayed, for example, in a menu form, and the client may determine the target prediction result page through user selection of the description information. The client may request the server for page data of the target prediction result page, generate the target prediction result page according to the page data, and jump the target page to the target prediction result page. The method can realize the effects of skipping intermediate steps in the transaction processing, directly reaching the transaction processing result and saving the time of a user and the operation steps.

In one implementation manner of the embodiment of the present invention, optionally, the displaying, in the target page, the description information corresponding to each predicted result page includes: and displaying the description information corresponding to each predicted result page in the target page according to the sequencing result of the predicted result pages.

The ranking result of the predicted result page may be determined by the server according to the chain weight, and the specific determining manner may be the same as or similar to the determining manner of the ranking result in the above example. The client can display the description information according to the ordering result of the corresponding predicted result page. For example, the earlier the predicted outcome page ranks, the earlier the corresponding ranking of the descriptive information.

On the basis of the foregoing embodiment, optionally, after the description information corresponding to each predicted result page is displayed in the target page, the method further includes: acquiring a selection instruction of descriptive information corresponding to a target prediction result page, and acquiring page data matched with the target prediction result page from a server; and generating a target prediction result page according to the page data, and jumping the target page to the target prediction result page.

The user can select the description information in the client, and the client can initiate a request to the server according to the selection condition of the user. The server can determine the target prediction result page according to the corresponding relation between the description information and the prediction result page. The server may provide the page data for the target prediction result page match to the client. The client can generate a target prediction result page through an executor according to the page data, and jump the target page to the target prediction result page. The intermediate step that the user needs to operate can be omitted, and the time of the user is saved.

It should be noted that, the client may also be provided with an option of accessing the webpage in a self-defined manner, or may be configured to exit the webpage recommendation mode when the client does not acquire the selection instruction of the user to the description information within the preset time period, so as to keep the mode of accessing the webpage in a self-defined manner. The method and the device can provide various choices for the user, can provide operable items for the user when the user needs to perform new transaction processing through the target page, consider various functions and facilitate the operation of the user.

In one implementation of the embodiment of the present invention, optionally, the browser behavior data includes at least: user information, access address information, request mode and request parameters; acquiring page data matched with a target prediction result page from a server side, wherein the page data comprises: and acquiring page user information, access address information, a request mode and request parameters matched with the target prediction result page from the server.

The client can generate the target prediction result page through the executor according to page user information, access address information, a request mode and request parameters matched with the target prediction result page.

According to the technical scheme, browser behavior data are recorded and provided for a server, so that the server is instructed to generate at least one page chain corresponding to a client according to the browser behavior data; sending an access request for a target page to a server so as to acquire page data of the target page from the server for local display; in the process of accessing the target page, receiving description information corresponding to at least one predicted result page matched with the target page and provided by a server; the description information corresponding to each predicted result page is displayed in the target page, the problem of page recommendation is solved, the description information corresponding to the predicted result page is recommended to the user according to the target page, the target predicted result page is conveniently determined according to the description information selected by the user, the target page is jumped to the target predicted result page, and the effects of user operation steps and operation time are saved.

Fig. 4 is a flowchart of a page recommendation method according to the third embodiment of the present invention, where, as shown in fig. 4, a client may collect browser behavior data of a user, for example, record the browser behavior data in a log record form. The client may report the browser behavior data of the user, for example, in the form of a report log. The server may analyze and store browser behavior data. For example, the server may record browser behavior data containing information such as user information, access address information, access time, request mode, request parameters, and the like.

The server may generate a page chain corresponding to the client based on the browser behavior data. When a user accesses a target page in a client, the server can determine a predicted result page according to the target page and a corresponding page chain. The server may send the description information corresponding to the predicted outcome page to the client. The client can display the description information and acquire a selection instruction of a user for the description information. The client may request page data of the target prediction result page from the server according to the description information selected by the user. The executor of the client can generate a target prediction result page according to the page data and jump the page, so that the clicking times of the user during browsing can be greatly reduced, and the browsing time and operation steps of the user are saved.

Example IV

Fig. 5 is a schematic structural diagram of a page recommendation device according to a fourth embodiment of the present invention. Referring to fig. 5, the apparatus is configured in a server, and includes: a page chain generation module 510, a prediction results page determination module 520, and a description information providing module 530.

The page chain generating module 510 is configured to collect browser behavior data of each client, generate at least one page chain corresponding to each client, where the page chain includes: a page set formed according to a set organization sequence;

the prediction result page determining module 520 is configured to determine, in response to an access request of the target client to the target page, at least one prediction result page matching the target page according to at least one target page chain corresponding to the target client;

the description information providing module 530 is configured to provide the description information of each prediction result page to the target client.

Optionally, the page chain generating module 510 includes:

the page chain generating unit is used for acquiring a plurality of pages with continuous access time and jump relation between adjacent pages from browser behavior data of the current client to form a page chain corresponding to the current client.

Optionally, the apparatus further comprises:

the master station information determining module is used for determining master station information corresponding to each page chain corresponding to the current client after collecting browser behavior data of each client and generating at least one page chain corresponding to each client, and storing each page chain in a classified mode according to the master station information.

Optionally, the apparatus further comprises:

and the target page chain determining module is used for acquiring target master station information corresponding to the target page before determining at least one prediction result page matched with the target page according to at least one target page chain corresponding to the target client, and determining at least one target page chain corresponding to the target client according to the target master station information.

Optionally, the prediction result page determination module 520 includes:

the alternative page chain acquisition unit is used for acquiring at least one alternative page chain from the target page chains; and the prediction result page generating unit is used for generating at least one prediction result page according to the last page in each candidate page chain.

Optionally, the apparatus further comprises:

the behavior result data acquisition module is used for carrying out user behavior analysis on each page chain corresponding to the current client after collecting browser behavior data of each client and generating at least one page chain corresponding to each client respectively, so as to acquire behavior result data corresponding to each page chain.

Optionally, the description information providing module 530 includes:

and the description information providing unit is used for acquiring page chains respectively corresponding to the predicted result pages and providing the description information of the predicted result pages constructed by the acquired behavior result data of the page chains to the target client.

Optionally, the description information providing module 530 includes:

and the description information providing unit is also used for sequencing the prediction result pages according to the chain weights of the page chains respectively corresponding to the prediction result pages and providing the description information of the prediction result pages to the target client according to the sequencing result.

Optionally, the apparatus further comprises:

the chain weight determining module is used for determining the chain weight corresponding to each page chain of the current client according to the access times and/or the access time of each page chain corresponding to the current client after collecting the browser behavior data of each client and generating at least one page chain corresponding to each client.

Optionally, the apparatus further comprises:

and the page data providing module is used for providing the page data matched with the target prediction result page to the target client in response to a selection instruction of the target client for the description information of the target prediction result page after the description information of each prediction result page is provided to the target client.

Optionally, the browser behavior data at least includes: user information, access address information, request mode and request parameters;

a page data providing module comprising: and the page data providing unit is used for providing the user information, the access address information, the request mode and the request parameters matched with the target prediction result page to the target client.

The page recommending device provided by the embodiment of the invention can execute the page recommending method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.

Example five

Fig. 6 is a schematic structural diagram of a page recommendation device according to a fifth embodiment of the present invention. Referring to fig. 6, the apparatus is configured in a server, and includes: the system comprises a browser behavior data providing module 610, an access request sending module 620, a description information receiving module 630 and a description information displaying module 640.

The browser behavior data providing module 610 is configured to record browser behavior data and provide the browser behavior data to the server, so as to instruct the server to generate at least one page chain corresponding to the client according to the browser behavior data, where the page chain includes: a page set formed according to a set organization sequence;

An access request sending module 620, configured to send an access request to a server for obtaining page data of a target page from the server for local display;

the description information receiving module 630 is configured to receive, during an access process to a target page, description information corresponding to at least one predicted result page that matches the target page and provided by the server;

the description information display module 640 is configured to display description information corresponding to each predicted result page in the target page.

Optionally, the description information display module 640 includes:

and the descriptive information display unit is used for displaying descriptive information corresponding to each predicted result page in the target page according to the sequencing result of the predicted result pages.

Optionally, the device further includes:

the page data acquisition module is used for acquiring a selection instruction of the description information corresponding to the target prediction result page after the description information corresponding to each prediction result page is displayed in the target page, and acquiring page data matched with the target prediction result page from the server;

and the target prediction result page generation module is used for generating a target prediction result page according to the page data and jumping the target page to the target prediction result page.

the page data acquisition module comprises: the page data acquisition unit is used for acquiring page user information, access address information, a request mode and request parameters matched with the target prediction result page from the server.

Example six

Fig. 7 is a schematic structural diagram of an electronic device according to a sixth embodiment of the present invention, as shown in fig. 7, where the device includes:

one or more processors 410, one processor 410 being illustrated in fig. 7;

a memory 420;

the apparatus may further include: an input device 430 and an output device 440.

The processor 410, memory 420, input means 430 and output means 440 in the apparatus may be connected by a bus or otherwise, in fig. 7 by way of example.

The memory 420 is used as a non-transitory computer readable storage medium for storing software programs, computer executable programs, and modules, such as program instructions/modules corresponding to a page recommendation method in an embodiment of the present invention (e.g., the page chain generation module 510, the prediction result page determination module 520, and the description information providing module 530 shown in fig. 5, or the browser behavior data providing module 610, the access request sending module 620, the description information receiving module 630, and the description information presentation module 640 shown in fig. 6). The processor 410 executes various functional applications and data processing of the computer device by running software programs, instructions and modules stored in the memory 420, i.e. implements a page recommendation method of the above-described method embodiments, namely:

and providing the description information of each prediction result page to the target client. Or alternatively, the process may be performed,

Memory 420 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, memory 420 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 420 may optionally include memory located remotely from processor 410, which may be connected to the terminal device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input means 430 may be used to receive entered numeric or character information and to generate key signal inputs related to user settings and function control of the computer device. The output 440 may include a display device such as a display screen.

Example seven

The seventh embodiment of the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a page recommendation method as provided in the embodiments of the present invention, that is:

Any combination of one or more computer readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.

Claims

1. A method of page recommendation, performed by a server, the method comprising:

providing the description information of each prediction result page to the target client;

the collecting the browser behavior data of each client, generating at least one page chain corresponding to each client, includes:

acquiring a plurality of pages with continuous access time and jump relation between adjacent pages from browser behavior data of a current client to form a page chain corresponding to the current client;

after collecting browser behavior data of each client and generating at least one page chain corresponding to each client, the method further comprises the steps of:

Determining master station information corresponding to each page chain corresponding to the current client, and storing each page chain in a classified manner according to the master station information;

before determining at least one predicted result page matched with the target page according to at least one target page chain corresponding to the target client, the method further comprises the following steps:

acquiring target master station information corresponding to the target pages, and determining at least one target page chain corresponding to a target client according to the target master station information;

wherein the determining, according to at least one target page chain corresponding to a target client, at least one predicted result page matching the target page includes:

acquiring at least one alternative page chain in each target page chain;

and generating the at least one prediction result page according to the last page in each candidate page chain.

2. The method of claim 1, further comprising, after collecting browser behavior data of each client and generating at least one page chain corresponding to each client, respectively:

user behavior analysis is carried out on each page chain corresponding to the current client, and behavior result data corresponding to each page chain is obtained;

Providing the description information of each prediction result page to the target client, including:

and acquiring page chains respectively corresponding to the predicted result pages, and providing the description information of the predicted result pages constructed by the behavior result data of the acquired page chains to the target client.

3. The method of claim 1, wherein providing the description information of each of the predicted outcome pages to the target client comprises:

and sequencing the predicted result pages according to the chain weights of the page chains respectively corresponding to the predicted result pages, and providing the description information of the predicted result pages to the target client according to the sequencing result.

4. The method of claim 3, further comprising, after collecting browser behavior data of each client and generating at least one page chain corresponding to each client, respectively:

and determining the chain weight corresponding to each page chain of the current client according to the access times and/or access time of each page chain corresponding to the current client.

5. The method of claim 1, further comprising, after providing the description information of each of the predicted outcome pages to the target client:

and responding to a selection instruction of the target client for the description information of the target prediction result page, and providing page data matched with the target prediction result page to the target client.

6. The method of claim 5, wherein the browser behavior data comprises at least: user information, access address information, request mode and request parameters;

providing page data matching the target prediction result page to the target client, including:

and providing the user information, the access address information, the request mode and the request parameters matched with the target prediction result page to the target client.

7. A method of page recommendation, performed by a client, the method comprising:

displaying description information corresponding to each prediction result page in the target page;

the instructing the server to generate at least one page chain corresponding to the client according to the browser behavior data includes:

wherein after instructing the server to generate at least one page chain corresponding to a client according to the browser behavior data, the server is further configured to:

wherein after the sending the access request to the target page to the server, the server is further configured to:

acquiring at least one alternative page chain in each target page chain;

8. The method of claim 7, wherein displaying the description information corresponding to each predicted outcome page in the target page comprises:

and displaying the description information corresponding to each predicted result page in the target page according to the sequencing result of the predicted result pages.

9. The method according to claim 7, further comprising, after presenting the description information corresponding to each of the predicted outcome pages in the target page:

acquiring a selection instruction of descriptive information corresponding to a target prediction result page, and acquiring page data matched with the target prediction result page from a server;

And generating the target prediction result page according to the page data, and jumping the target page to the target prediction result page.

10. The method of claim 9, wherein the browser behavior data comprises at least: user information, access address information, request mode and request parameters;

obtaining page data matched with the target prediction result page from a server side, wherein the page data comprises:

and acquiring page user information, access address information, a request mode and request parameters matched with the target prediction result page from a server.

11. A page recommendation device, configured in a server, the device comprising:

The description information providing module is used for providing the description information of each prediction result page to the target client;

the page chain generation module comprises:

the page chain generating unit is used for acquiring a plurality of pages with continuous access time and jump relation between adjacent pages from browser behavior data of the current client to form a page chain corresponding to the current client;

wherein, the device still includes:

the master station information determining module is used for determining master station information respectively corresponding to each page chain corresponding to the current client after collecting browser behavior data of each client and generating at least one page chain respectively corresponding to each client, and storing each page chain in a classified manner according to the master station information;

the target page chain determining module is used for acquiring target master station information corresponding to the target page before determining at least one prediction result page matched with the target page according to at least one target page chain corresponding to the target client, and determining at least one target page chain corresponding to the target client according to the target master station information;

The prediction result page determining module comprises:

12. A page recommendation device, configured in a client, the device comprising:

The description information display module is used for displaying the description information corresponding to each predicted result page in the target page;

After sending the access request to the target page to the server, the server is configured to:

acquiring at least one alternative page chain in each target page chain;

13. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs,

when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement a page recommendation method as claimed in any one of claims 1 to 6; alternatively, a page recommendation method as claimed in any of the claims 7-10 is implemented.

14. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements a page recommendation method according to any of claims 1-6; alternatively, a page recommendation method as claimed in any of the claims 7-10 is implemented.