CN107341162B

CN107341162B - Webpage processing method and device and webpage processing device

Info

Publication number: CN107341162B
Application number: CN201610286906.3A
Authority: CN
Inventors: 姚波怀; 张扬
Original assignee: Beijing Sogou Technology Development Co Ltd
Current assignee: Beijing Sogou Technology Development Co Ltd
Priority date: 2016-05-03
Filing date: 2016-05-03
Publication date: 2022-11-25
Anticipated expiration: 2036-05-03
Also published as: CN107341162A

Abstract

The embodiment of the invention provides a webpage processing method and device and a webpage processing device, wherein the webpage processing method specifically comprises the following steps: determining a target user group to which a current user belongs; acquiring a target webpage to be recommended according to a historical webpage corresponding to the historical attention behavior of the target user group; and recommending the target webpage to the current user. The embodiment of the invention can be in accordance with the access requirement of the current user and improve the accuracy of webpage recommendation.

Description

Webpage processing method and device and webpage processing device

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a web page processing method, a web page processing apparatus, and a web page processing apparatus.

Background

With the development of internet technology, various websites emerge like spring shoots after rain, and an existing browser generally provides a favorite function in order to enable a user to quickly acquire a required website from a plurality of websites. The favorite is a website collecting function provided by the browser. When a user browses a webpage through a browser, the user can put a website or a webpage which is frequently used, favorite or needs to be marked into a favorite of the browser so as to be searched and accessed later.

At present, there are two main ways to obtain favorite contents. The first acquisition mode is manual acquisition, and specifically, a user can acquire a website in accordance with access requirements according to long-term browsing experience of the user or according to recommendation of friends and the like; the first acquisition mode is not intelligent and has low acquisition efficiency.

The second is a recommendation method, in the existing recommendation method, recommendation of favorite contents is performed according to the principle that the higher the access frequency is, the greater the access requirement is. Specifically, the web pages with higher access frequency can be selected from historical web pages browsed by the user according to the access frequency of the user to the web pages for recommendation. However, in practical applications, some web pages with low access frequency but still with access requirements of users are inevitable, and therefore, the existing recommendation method cannot realize accurate recommendation of web pages. For example, the school achievement inquiry website has a low access frequency, but the user still has an access requirement on the website, such as that the student needs to access the website to inquire the end achievement after the end examination is finished.

In addition, when the user installs the browser for the first time, the history webpage does not exist in the browser

Moreover, when a user has a new access requirement, the historical webpage is irrelevant to the new access requirement, so that the existing recommendation mode cannot realize accurate recommendation of the favorite content.

Disclosure of Invention

In view of the foregoing problems, embodiments of the present invention provide a web page processing method, a web page processing apparatus, and a web page processing apparatus that overcome the foregoing problems or at least partially solve the foregoing problems.

In order to solve the above problems, the present invention discloses a web page processing method, comprising:

determining a target user group to which a current user belongs;

acquiring a target webpage to be recommended according to a historical webpage corresponding to the historical attention behavior of the target user group;

and recommending the target webpage to the current user.

In another aspect, the present invention discloses a web page processing apparatus, including:

the group determining module is used for determining a target user group to which the current user belongs;

the webpage acquisition module is used for acquiring a target webpage to be recommended according to a historical webpage corresponding to the historical concern behavior of the target user group; and

and the webpage recommending module is used for recommending the target webpage to the current user.

In yet another aspect, an apparatus for web page processing is disclosed that includes a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors includes instructions for:

determining a target user group to which a current user belongs;

and recommending the target webpage to the current user.

The embodiment of the invention has the following advantages:

according to the history web page corresponding to the history attention behavior of the target user group to which the current user belongs, the target web page to be recommended is obtained, and then the target web page is recommended to the current user. Because the target webpage recommended to the current user is the webpage determined according to the historical webpage corresponding to the historical attention behavior of the target user group to which the current user belongs, and the access requirements of different groups of users in the user group are always the same, the target webpage can be free from the limitation of webpage access frequency, can be matched with the access requirements of the current user, and can improve the accuracy of webpage recommendation.

For example, some valuable websites with low access frequency (used only once a year) or unknown by the user (such as a school achievement query website) can be mined and recommended to the user for browsing and collecting; the user can conveniently access some websites in the future use of the browser, and the user discovers a plurality of valuable websites according to the system recommendation, so that the use experience of the user is improved.

Secondly, when a user installs a browser for the first time, because the browser does not have historical webpages, the existing recommendation mode cannot realize accurate recommendation of the favorite contents; or, when the user has a new access requirement, the historical web pages are irrelevant to the new access requirement, and therefore, the existing recommendation method cannot realize accurate recommendation of the favorite contents. The embodiment of the invention can utilize the information such as the geographical position and the like to carry out the cold start of the webpage recommendation, can determine the target area group to which the current user belongs even if the user does not browse the information or the browsing information is not matched with the current new browsing purpose, and further can acquire the target webpage recommended to the current user according to the historical webpage corresponding to the historical attention behavior of the target area group.

Drawings

FIG. 1 is a schematic diagram of an application environment of a web page processing method according to the present invention;

FIG. 2 is a flowchart illustrating a first embodiment of a web page processing method according to the present invention;

FIG. 3 is a flowchart illustrating steps of a second embodiment of a web page processing method according to the present invention;

FIG. 4 is a flowchart illustrating a third exemplary embodiment of a web page processing method;

FIG. 5 is a flowchart illustrating a fourth step of a web page processing method according to an embodiment of the present invention;

FIG. 6 is a flowchart illustrating a fifth step of a web page processing method according to an embodiment of the present invention;

FIG. 7 is a block diagram of an embodiment of a web page processing method and apparatus according to the present invention;

FIG. 8 is a block diagram of an apparatus 900 for web page processing of the present invention; and

fig. 9 is a schematic diagram of a server according to the present invention.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.

According to the existing recommendation mode, a webpage with a higher access frequency is selected from historical webpages browsed by a user for recommendation according to the access frequency of the user to the webpage; thus, the access requirement of the web page with low access frequency cannot be met. For example, the access frequency of the school score query website is low, but the students need to access the website after the end exam is finished to query the end scores.

Analysis shows that the access requirements of different groups of users in a user group with the same group characteristics are always the same in the process of using the browser by the users. In practical applications, the group characteristics may specifically include: location features, preference features, attribute features, and the like.

The location feature may correspond to a preset area group, and may be used to indicate an area to which the user belongs. For example, students in the preset regional group "qinghua university" need to browse the educational administration in qinghua university to obtain corresponding educational administration information, and the students in the qinghua university may browse websites such as bakelite BBS (Bulletin Board System) and bakelite community BBS to obtain corresponding life information or entertainment information. For another example, the preset area group "XX cell" needs to pay attention to convenience information and education information (such as kindergarten and primary school) around the cell, property information of the cell, and the like.

The attribute characteristics may correspond to a preset attribute group, and may be used to indicate static attribute characteristics of the user, such as age, gender, region, academic calendar, business circle, occupation, marital, consumption level, and the like of the user, which are relatively stable. For example, the preset attribute group "mom group" collectively concerns mother and infant websites and child-care websites, the preset attribute group "leone group" collectively concerns constellation websites, and the preset attribute group "beijing people group" collectively concerns websites such as beijing television stations, beijing national security official networks and beijing golden corner official networks.

The preference feature may correspond to a preset preference group that may be used to indicate content or interest preferences that change with changing user behavior. For example, the "Basketball fan group" has access requirements not only to web pages such as Sinlang NBA (National Basketball Association), tencent NBA, etc., but also to websites of NBA officials and even CBA (Chinese Basketball Association).

One of the core concepts of the embodiment of the invention is to acquire a target webpage to be recommended according to a historical webpage corresponding to a historical attention behavior of a target user group to which a current user belongs, and further recommend the target webpage to the current user. Because the target webpage recommended to the current user is the webpage determined according to the historical webpage corresponding to the historical attention behavior of the target user group to which the current user belongs, and the access requirements of different groups of users in the user group are always the same, the target webpage can be free from the limitation of webpage access frequency, can be matched with the access requirements of the current user, and can improve the accuracy of webpage recommendation.

In an application example 1 of the present invention, a user a is a new growth of the university of qinghua, and after the user a connects its own computer to the qinghua network, the embodiment of the present invention may determine that a target user group to which the user a belongs is "qinghua university", and may also recommend to the user a web page that has a low access frequency but is collected by a majority of group users in the "qinghua university", such as a qinghua educational department, a qinghua BBS, a qinghua achievement query, and the like, for the user a to collect or browse.

Further, according to the embodiment of the invention, it can be determined that the user a is a basketball fan according to the previous browsing record, favorite content and other information of the user a, so that a webpage which has a low range frequency and is collected by most users in a target group of 'qinghua university basketball', such as a CUBA official website of qinghua university, a basketball club of qinghua university and the like, can be recommended to the user a for the user a to collect or browse.

The web page processing method provided by the embodiment of the invention can be applied to application programs such as a browser, an instant messaging program, an input method program and the like, and the web page processing method provided by the embodiment of the invention can be applied to the application environment shown in fig. 1, as shown in fig. 1, a client 100 and a server 200 are positioned in a wired or wireless network, and the client 100 and the server 200 perform data interaction through the wired or wireless network.

Specifically, the client 100 may run on an intelligent terminal, and the intelligent terminal may specifically include, but is not limited to: smart phones, tablet computers, e-book readers, MP3 (moving Picture Experts Group Audio Layer III) players, MP4 (moving Picture Experts Group Audio Layer IV) players, laptop portable computers, car-mounted computers, desktop computers, set-top boxes, smart televisions, wearable devices, and the like.

The client 100 may acquire a current location characteristic of the current user, or may acquire a history webpage (hereinafter referred to as a first history webpage) corresponding to a history attention behavior of the current user.

In an optional embodiment of the present invention, the client 100 may obtain the target webpage to be recommended through data interaction with the server 200. Specifically, the client 100 may send an acquisition request to the server 200, where the acquisition request may include: the first historical webpage and/or the current position characteristic are/is used for enabling the server 200 to determine a target user group to which the current user belongs according to the first historical webpage and/or the current position characteristic; furthermore, the server 200 may further obtain a target webpage to be recommended according to a historical webpage corresponding to the historical attention behavior of the target user group, and send the target webpage to the client 100.

Of course, the process of obtaining the target webpage to be recommended by the client 100 through data interaction with the server 200 is only an optional embodiment, and actually, the client 100 may obtain the target webpage to be recommended by itself, or the client 100 may determine a target user group to which the current user belongs by itself and send the target user group to the server 200, so that the server 200 obtains the target webpage to be recommended according to the target user group.

It can be understood that the application environment shown in fig. 1 is only an application example, and one of the purposes of the web page processing flow in the embodiment of the present invention is to obtain a target web page to be recommended according to a historical web page corresponding to a historical attention behavior of a target user group to which a current user belongs, and further recommend the target web page to the current user, so that the accuracy of web page recommendation can be improved, and a specific execution subject and a specific application environment of the web page processing flow are not limited.

Method embodiment one

Referring to fig. 2, a flowchart illustrating a step of a first embodiment of a web page processing method according to the present invention is shown, which may specifically include the following steps:

step 201, determining a target user group to which a current user belongs;

in the embodiment of the present invention, the user group can be used to represent a combination of users of a certain class having the same group characteristics. In practical applications, the user group may specifically include: a region group corresponding to the location feature, a preference group corresponding to the preference feature, a region group corresponding to the attribute feature, and the like. It is understood that a person skilled in the art may adopt any user group according to the actual application requirement, and the embodiment of the present invention does not limit the specific user group.

The embodiment of the invention can provide the following technical scheme for determining the target user group to which the current user belongs:

technical solution 1

Technical solution 1 may be configured to determine a target area group to which a current user belongs, where the step 201 of determining the target area group to which the current user belongs may specifically include:

a1, collecting current position characteristics of a current user;

and A2, matching the current position characteristic with a preset position characteristic corresponding to a preset area group to obtain a target area group corresponding to the current position characteristic.

In an optional embodiment of the present invention, regional division may be performed for units such as countries, provinces, cities, and urban areas to obtain corresponding preset regional groups; the corresponding dividing manner may specifically include at least one of the following manners:

mode 1: carrying out area division according to the longitude and latitude information; each preset area group can have a corresponding longitude and latitude range;

mode 2: acquiring the range of the position characteristics of each building according to the electronic map information; wherein, one or more buildings can correspond to a preset regional group;

mode 3: the position characteristics of a plurality of users are collected through a client, and corresponding preset area groups are obtained through a clustering algorithm, wherein the position range of multi-user aggregation can be divided into a preset area, and the area boundary can be the position where the user density is sharply reduced.

In the embodiment of the present invention, the location characteristics may be used to characterize a geographic location, and in practical application, the location characteristics may specifically include: latitude and longitude information, IP (Protocol for interconnection between networks, internet Protocol) information, and the like. The latitude and longitude information may be acquired through a GPS (Global Positioning System) function of the intelligent terminal, and the IP information may be acquired through a network connection device of the intelligent terminal or a corresponding preset query interface.

An example clustering process for IP information is provided herein. Assuming that the IP information is a.b.c.d, when a, B, and C of two IP information are the same, the two IP information may be clustered into the same preset area group. In an optional embodiment of the present invention, the method may further apply the IP information of the user and the web pages corresponding to the attention behaviors of the user to the clustering process, and divide the users with similar web pages and similar IPs corresponding to the attention behaviors into the same preset regional group through a clustering algorithm. Furthermore, the IP network segment to which the users in the preset area group belong can be used as the corresponding IP network segment, and the users belonging to the IP network segment are clustered to the preset area group.

It is to be understood that the above process of obtaining the preset area group by dividing is only an example, and the specific obtaining manner of the preset area group is not limited in the embodiment of the present invention.

In practical application, in the step A2, the current longitude and latitude information of the current user can be acquired through a GPS function of the intelligent terminal, and the current longitude and latitude information is matched with the longitude and latitude range of the preset area group, so as to obtain the target area group corresponding to the current longitude and latitude information. Or, in the step A2, the current IP information of the intelligent terminal may also be queried through a preset query interface, and the current IP information is matched with an IP information range (such as an IP network segment) of a preset area group, so as to obtain a target area group corresponding to the current IP information. It can be understood that, the embodiment of the present invention does not impose a limitation on the specific implementation process of step A2.

In summary, in the technical scheme 1, the target area group to which the current user belongs is determined according to the current location characteristics of the current user, such as the current longitude and latitude information, the current IP information and the like; since the technical scheme 1 does not use the historical web page corresponding to the historical attention behavior of the current user, the technical scheme 1 can still determine the target regional group to which the current user belongs under the condition that the historical web page does not exist in the browser of the current user, and then the target web page recommended to the current user can be obtained according to the historical web page corresponding to the historical attention behavior of the target regional group, that is, even if the historical web page of the current user does not exist, the technical scheme 1 can still provide the accurate and valuable target web page for the user, so that the accuracy of web page recommendation can be improved.

In the above application example 1, the user a is a new generation of the qinghua university, and the computer of the user a is assumed to be a newly purchased computer, so that no corresponding history web page exists in the browser thereof; in the above situation, the embodiment of the present invention may still determine that the target user group to which the user a belongs is "qinghua university" through the above technical solution 1, and further recommend, to the user a, a webpage that has a low access frequency and is collected by most users in the "qinghua university," such as a qinghua educational administration department, a qinghua BBS, a qinghua achievement query, and the like, for the user a to collect or browse.

Moreover, when the historical webpage of the current user does not meet the subsequent access requirement, the embodiment of the invention can still determine the target area group to which the current user belongs by the technical scheme 1. In an application example 2 of the present invention, a user B has just added to an X company, and needs to visit a related webpage of the X company later, but a history webpage visited by the user B before is not linked to a related webpage corresponding to the X company, so that the related webpage of the corresponding X company cannot be obtained through the history webpage visited by the user B before; in the embodiment of the present invention, the target area group "X company" to which the current user B belongs can still be determined by the above technical solution 1, and then the web pages, such as "X company home page", "X company mailbox page", and "X company office page", which are collected by most users in the "X company" and have low access frequency can be recommended to the user B, so that the user B can collect or browse the web pages.

Technical solution 2

Technical solution 2 may be used to determine a target preference group to which a current user belongs, where the step 201 of determining the target user group to which the current user belongs may specifically include:

b1, acquiring preference characteristics of the current user according to a historical webpage corresponding to the historical attention behavior of the current user;

and B2, matching the preference characteristics of the current user with the preset preference characteristics corresponding to the preset preference groups to obtain a target preference group corresponding to the preference characteristics of the current user.

In an optional embodiment of the present invention, the step B1 of obtaining the preference characteristic of the current user according to the historical webpage corresponding to the historical attention behavior of the current user specifically includes:

step B11, generating corresponding category labels aiming at the existing websites and/or webpages; the website content may be captured, and the category label of the corresponding website may be obtained by a machine learning method according to the website content. For example, the category labels may include: sports, entertainment, C language, JAVA language, wherein the category label corresponding to sports may further include: basketball, football, badminton, wushu, swimming, etc. the corresponding classification label of amusement can further include: stars, movies, television, etc. It is to be understood that the embodiment of the present invention does not impose a limitation on the category label of the website and the generation process thereof.

Step B12, matching a historical webpage corresponding to the historical attention behavior of the current user with a webpage with a category label to obtain a target category label corresponding to the historical webpage, and further obtaining the preference characteristic of the current user according to the target category label; the target category label may be used as a preference feature of the current user, or the target category label may be processed to obtain the preference feature of the current user. For example, the above target category label whose frequency of occurrence meets a preset condition may be used as a preference feature of the current user. Wherein, the preset condition can be related to the attention time or the attention frequency; for example, in the favorite content of the user C, the category labels of M webpages are "mother and infant", the category labels of N webpages are "constellation", and although M is smaller than N, since the attention behaviors of N webpages occur 3 years ago and the attention behaviors of M webpages occur within the last 1 year, the preference feature of the user C may be considered to include "mother and infant", and the "constellation" label may be discarded. It is understood that the embodiment of the present invention does not impose any limitation on the specific process of obtaining the preference characteristics of the current user according to the target category label.

In another optional embodiment of the present invention, the process of acquiring the preset preference group may specifically include: the method comprises the steps of collecting historical webpages of a plurality of users through a client, and clustering the historical webpages through a clustering algorithm to obtain corresponding preset preference groups and preset preference characteristics. Wherein different users with similar preference characteristics can be clustered to the same preset preference group. It should be noted that one preference feature may correspond to one or more preset preference groups, for example, "basketball" may correspond to a plurality of preset preference groups. In addition, since one user may have a plurality of preference features, the user may belong to a plurality of preset preference groups.

In yet another optional embodiment of the present invention, the process of acquiring the preset preference group may specifically include: the group and the corresponding preset preference characteristics are obtained from the existing groups in the instant messaging program, the social network site and the BBS website. Taking the instant messaging program such as Tencent, weChat and the like as an example, the corresponding preference characteristics can be obtained according to the group name, the group introduction, the chat records and the like of the group, or historical webpages of the group users of the group can be collected and the historical webpages of all the group users can be analyzed to obtain the co-occurrence preference characteristics and the like. Similarly, social websites such as microblogs and bean cotyledons can be analyzed to obtain preference characteristics of the groups, and it can be understood that the specific acquisition process of the preset preference groups and the preference characteristics thereof is not limited by the embodiment of the invention.

In an application example 3 of the present invention, assuming that the preference characteristics of the user C include "middle guan village", "mother and baby", and the like, the target preference group to which the user C belongs may be determined to be "middle guan village kindergarten", "middle academy kindergarten", "middle guan primary school", and the like, so that web pages collected or browsed by other users in the "middle guan village kindergarten" and the "middle academy kindergarten", such as "middle guan village experimental garden in the kindergarten of the Chinese academy of sciences", "tomorrow fourth kindergarten" and the like, may be recommended to the user C to meet the access requirements of the user C on information of the kindergarten near the middle guan village. Furthermore, web pages collected or browsed by other group users in the 'middle guan village primary school' can be recommended to the user C, such as 'parents' and the like, so that the access requirement of the user C on primary school information near the middle guan village can be met.

In yet another optional embodiment of the present invention, the action of interest may specifically include at least one of the following actions: browsing behavior, collection behavior, review behavior, like behavior, forward behavior, focus behavior, copy behavior, mark behavior, and save behavior. For example, when browsing the web page 1, the user D may generate the tagging behavior or the collection behavior for the web page 1 by perceiving that the web page 1 is temporarily not used and may be used in the future. For another example, when the user E browses the webpage 2, the content of the webpage 2 is interested, and therefore, the corresponding comment content is submitted through the comment area, and it can be considered that the user B generates a comment behavior for the webpage 2. For another example, the user F sees an abstract of one piece of microblog content 1 in the friend circle, and therefore, if a praise behavior is issued for the piece of microblog content 1, it can be considered that the user F generates a praise behavior for the web page 3 corresponding to the piece of microblog content 1.

In summary, in the above technical solution 2, the preference feature of the current user is matched with the preset preference feature corresponding to the preset preference group to obtain the target preference group corresponding to the preference feature of the current user, so that the target preference group conforming to the preference feature of the current user can be obtained, and further the target webpage conforming to the preference requirement of the current user can be obtained.

The process of determining the target area characteristic and the target preference group to which the current user belongs is described in detail through technical solutions 1 and 2, and it can be understood that a person skilled in the art may adopt any one or a combination of the above technical solutions 1 and 2 according to an actual application requirement, or may also adopt another technical solution of determining the target user group to which the current user belongs, for example, a corresponding target attribute group may also be obtained according to an attribute characteristic of the current user, and the like. For example, if the age of the user G is 30 years, it may be determined that the corresponding target attribute group is "thirty days", and if the occupation of the user H is a JAVA programmer, it may be determined that the corresponding target attribute group is "JAVA interest group", and if the user I is an old person living near rimoutan, it may be determined that the corresponding target attribute group is "rimoutan morning exercise club", or "rimoutan old club", etc., and it is understood that the specific technical solution for determining the target user group to which the current user belongs is not limited in the embodiments of the present invention.

Step 202, acquiring a target webpage to be recommended according to a historical webpage corresponding to the historical attention behavior of the target user group;

in an optional embodiment of the present invention, step 202 may regard the web page focused by some group users in the target user group as a target web page recommended to the current user. Taking the application example 1 as an example, assuming that some group users in the preset regional group "qinghua university" collect homepages of websites such as the school educational administration department of qinghua university, the wakefulness BBS, and the wakefulness community BBS, the homepages can be used as target webpages recommended to the current user a.

In another optional embodiment of the present invention, in step 202, a web page frequently used by some group users in the target user group, that is, a web page meeting a preset frequent condition, may also be used as the target web page recommended to the current user. For example, the website Z developed by the qinghua classmates autonomously can be used for inquiring information such as an idle study room, and part of users in the preset regional group "qinghua university" are frequently used, so that the homepage of the website Z can be recommended to the user a for collection. The web pages meeting the preset frequent condition may be determined according to the usage frequency of the web pages in a predetermined time period, for example, the usage frequency of the web pages in the predetermined time period is greater than a frequency threshold value, and the like. The predetermined time period may be the latest time period, and the length of the predetermined time period may be determined according to actual application requirements, and it can be understood that the specific predetermined time period and the length thereof are not limited in the embodiments of the present invention.

In another optional embodiment of the present invention, the step of obtaining a target webpage to be recommended according to a historical webpage corresponding to a historical attention behavior of the target user group includes: and acquiring corresponding attention characteristics according to the historical attention behaviors of the target user group, and selecting a target webpage to be recommended from webpages corresponding to the attention characteristics. The attention feature can be used for identifying interest tags of the target user group in a preset time period, so that a target webpage to be recommended is selected from webpages corresponding to the attention feature, and interest preference of the whole target user group can be conformed to.

In yet another alternative embodiment of the present invention, the above-mentioned features of interest may specifically include: the type of the attention behaviors, the number of the attention behaviors, the attention number, the recent attention time, the duration of the attention behaviors and the like; wherein, the closer the nearest attention time is to the current, the higher the corresponding weight is; taking the browsing behavior as an example, a longer duration (dwell time) indicates that the user is interested in the browsing behavior, whereas a longer duration (dwell time) is less than the time threshold (5 s) and indicates that the user is not interested in the browsing behavior, and therefore, the browsing behavior can be filtered out. It is to be understood that embodiments of the invention are not limited to the specific features of interest.

In an optional embodiment of the present invention, the web pages corresponding to the attention behavior may be ranked, and a target web page to be recommended is selected from the web pages corresponding to the attention behavior according to a ranking result. The sorting features adopted by the above sorting may specifically include: the use frequency, the matching degree of the attention feature and the preference feature of the current user, and the like, it can be understood that the specific sorting feature is not limited in the embodiment of the present invention.

While the process of acquiring the target webpage to be recommended in step 202 is described in detail above, it can be understood that a person skilled in the art may adopt any process of acquiring the target webpage to be recommended according to the historical webpage corresponding to the historical attention behavior of the target user group according to actual application requirements.

Step 203, recommending the target webpage to the current user.

In practical applications, step 203 may recommend the target webpage to the current user through a preset display mode. For example, a display window different from the current web page may pop up, and the target web page may be displayed through the display window; or, a layer similar to the transparent mask is loaded on the current webpage, and the target webpage is displayed on the layer. The information such as the URL (Uniform resource Locator), the hyperlink, and the like of the target webpage may be displayed, and it can be understood that the specific process of recommending the target webpage to the current user is not limited in the embodiment of the present invention.

In an optional embodiment of the present invention, before the step 203 of recommending the target webpage to the current user, the method may further include: comparing the target webpage with the content of the favorite of the current user to obtain a corresponding comparison result;

the step 203 of recommending the target webpage to the current user may specifically include: and recommending a target webpage with different contents from the favorite contents to the current user according to the comparison result.

The optional embodiment can be used for recommending the favorite contents, specifically, a target webpage different from the favorite contents can be recommended to the current user based on the comparison result of the target webpage and the favorite contents, so that repeated recommendation of the webpage can be avoided.

In another optional embodiment of the invention, the favorite contents can be compared in the process of obtaining the target webpage in an off-line manner, so that the webpage to be recommended can be updated without repetition and interruption. Correspondingly, the step 202 of obtaining the target webpage to be recommended according to the historical webpage corresponding to the historical attention behavior of the target user group may specifically include:

traversing the historical webpage corresponding to the historical attention behavior of the target user group according to a preset period to obtain an updated target historical webpage; the preset period may be used to indicate an update period of the target history web page, and may be a period of a preset length, such as 24 hours, 12 hours, 48 hours, and the like. The historical attention behavior of the target user group may be historical attention behavior of all users in the target user group in the preset period.

Comparing the target historical webpage with the favorite content of the current user to obtain a target historical webpage different from the favorite content;

the step 203 of recommending the target webpage to the current user may specifically include: and recommending a target historical webpage with different contents from the favorite contents to the current user.

In another optional embodiment of the invention, historical attention behaviors of the users in the target user group and historical webpages corresponding to the users can be monitored, so that the webpages to be recommended can be updated timely. Correspondingly, the step 202 of obtaining the target webpage to be recommended according to the historical webpage corresponding to the historical attention behavior of the target user group may specifically include:

monitoring historical attention behaviors of users in the target user group and historical webpages corresponding to the historical attention behaviors;

after monitoring the historical webpage, comparing the historical webpage with the favorite content of the current user to obtain a target historical webpage different from the favorite content;

the step 203 of recommending the target webpage to the current user may specifically include:

and recommending a target historical webpage with different contents from the favorite contents to the current user.

For example, if the users in the target user group are fans of a star, after one user in the target user group watches and collects the latest news webpage of the star, the embodiment of the invention can monitor the latest news webpage in time and recommend the latest news webpage to other users in the target user group.

Further, the corresponding webpage collection operation may be executed according to the trigger operation of the current user on the target webpage with the content different from that of the favorite, that is, the target webpage corresponding to the trigger operation may be added to the favorite.

In summary, the embodiment of the invention has the following advantages:

firstly, because the target webpage recommended to the current user is the webpage determined according to the historical webpage corresponding to the historical attention behavior of the target user group to which the current user belongs, and the access requirements of different groups of users in the user group are always the same, the target webpage can be free from the limitation of the webpage access frequency, can be matched with the access requirements of the current user, and can improve the accuracy of webpage recommendation.

For example, some valuable websites with low access frequency (used only once a year) or unknown by the user (such as a school achievement query website) can be mined and recommended to the user for browsing and collecting; the user can conveniently access some websites in the later use of the browser, and the user discovers many valuable websites according to the system recommendation, thereby improving the use experience of the user.

Secondly, when a user installs a browser for the first time, because the browser does not have historical webpages, the existing recommendation mode cannot realize accurate recommendation of the favorite contents; or when the user has a new access requirement, the historical web pages are irrelevant to the new access requirement, so that the existing recommendation method cannot realize accurate recommendation of the favorite contents. The embodiment of the invention can utilize the information such as the geographical position and the like to carry out the cold start of the webpage recommendation, can determine the target area group to which the current user belongs even if the user does not browse the information or the browsing information is not matched with the current new browsing purpose, and further can acquire the target webpage recommended to the current user according to the historical webpage corresponding to the historical attention behavior of the target area group.

Method embodiment two

Referring to fig. 3, a flowchart illustrating steps of a second embodiment of the web page processing method according to the present invention is shown, which may specifically include the following steps:

step 301, determining a target user group to which a current user belongs;

step 302, acquiring a target webpage to be recommended according to a historical webpage corresponding to the historical attention behavior of the target user group;

step 303, collecting current environment information of a current user;

and step 304, recommending the target webpage to the current user when the current environment information meets the preset new access requirement condition.

In order to avoid disturbance of the recommended webpage to the user, the preset new access requirement condition in the embodiment of the invention can be used for indicating that the user has a new access requirement, that is, the embodiment of the invention can recommend the target webpage to the current user when the user has the new access requirement, so that the intelligence and timeliness of webpage recommendation are improved.

In the embodiment of the present invention, the current environment information meets a preset new access requirement condition, which may specifically include at least one of the following conditions:

and condition 1, the change of the current position characteristic relative to the historical position characteristic accords with a preset region change condition.

For example, the user J is a teacher of the university in Qinghua, previously surfs the Internet at home using a notebook of the user, and now surfs the Internet at the university in Qinghua using the same notebook, and it can be considered that the location feature of the notebook has changed and an access requirement corresponding to a new location exists, and therefore, it can be considered that a new access requirement exists in the user. For the same intelligent terminal, when the same intelligent terminal reaches a certain position for the first time, the change of the current position characteristic relative to the historical position characteristic can be considered to accord with a preset area change condition; optionally, the duration of the change of the current position feature relative to the historical position feature may be greater than a time threshold, and in practical application, the time threshold may be set, so that when the duration of the change of the position feature is greater than the time threshold, it may be considered that a preset area change condition is met; of course, the embodiment of the present invention does not impose any limitation on the specific preset region variation condition.

And the condition 2, the use information and/or the installation information of the current browser conform to preset use conditions.

The browser can be used for representing devices with a webpage display function, such as browsers in computers, smart phones or embedded APPs in tablet computers, and the use information of the devices specifically can include: the number of times of use, the latest time of use, and the like, the installation information may specifically include: installation time, etc. Alternatively, the preset use condition may indicate that the user installs the browser for the first time, so that no history web page exists in the browser, and therefore, a new access requirement exists in this case. Or, the preset use condition may indicate that the number of times of using the browser by the user is less than a threshold value, so that there is a limited history of web pages in the browser, and therefore there is a new access requirement in this case. Alternatively, the preset usage condition may indicate that the last usage time indicates that the user has not used the browser for a long time, so that the access requirement is changed. It is understood that, a person skilled in the art may adopt the required preset use condition according to the actual application requirement, and the embodiment of the present invention does not limit the specific preset use condition.

Method embodiment three

Referring to fig. 4, a flowchart illustrating steps of a third embodiment of the web page processing method according to the present invention is shown, which may specifically include the following steps:

step 401, determining a target user group to which a current user belongs;

step 402, acquiring a target webpage to be recommended according to a historical webpage corresponding to the historical attention behavior of the target user group;

and step 403, recommending the target webpage to the current user.

With respect to the first method embodiment shown in fig. 2 or the second method embodiment shown in fig. 3, the method of this embodiment may further include:

step 404, acquiring a newly added webpage which is matched with the target user group and is newly added in a preset time period;

step 405, recommending the new webpage to the current user.

In practical applications, the web pages focused by the target user group may change over time, for example, when a hot event occurs in a recent time period and the hot event is just matched with the target user group, the target user group may focus on the web pages corresponding to the hot event. Therefore, the embodiment of the invention can recommend the newly added webpage to the current user in time so as to improve the intelligence of webpage recommendation.

In practical application, the newly added web pages added in a preset time period can be obtained at first, then the newly added web pages are matched with the preset preference features of the target user group, and the newly added web pages with the matching degree larger than the threshold value of the matching degree are recommended to the user. Before the newly added webpage is matched with the preset preference characteristics of the target user group, the heat degree of the newly added webpage can be determined, then the newly added webpage with the heat degree smaller than the heat degree threshold value is filtered according to the heat degree, and the newly added webpage with the heat degree exceeding the heat degree threshold value is matched. The popularity of the new web page can be determined according to the attention behavior of the new web page, and the specific determination process of the popularity is not limited in the embodiment of the invention.

Method example four

Referring to fig. 5, a flowchart illustrating a fourth step of the embodiment of the web page processing method of the present invention is shown, which may specifically include the following steps:

step 501, determining a target user group to which a current user belongs;

step 502, acquiring a target webpage to be recommended according to a historical webpage corresponding to the historical attention behavior of the target user group;

step 503, recommending the target webpage to the current user.

With respect to the first method embodiment shown in fig. 2 or the second method embodiment shown in fig. 3, the step 502 of determining the target user group to which the current user belongs in this embodiment may specifically include:

step 521, monitoring a first webpage which is actively collected by a current user in a latest time period and meets a preset newly-added condition;

522, acquiring a newly added preference feature of the current user according to the first webpage;

step 523, match the newly added preference feature of the current user with the preset preference feature corresponding to the preset preference group to obtain a target preference group corresponding to the newly added preference feature of the current user.

In this embodiment, the latest time period may be used for a time interval whose termination time is the current time, and the length of the latest time period may be determined by those skilled in the art, for example, the length may be 24 hours, 48 hours, a week, and the like. The first web page meeting the preset adding condition can be used for representing the web pages which are not concerned by the current user before but begin to be concerned in the latest time period, namely, the first web page is the web page reflecting the new preference of the current user. In practical application, the web pages actively collected in the latest time period can be compared with the historical web pages before the latest time period for analysis, and if the web pages which are substantially different from the historical web pages exist in the latest time period, the web pages can be used as the first web pages which accord with the preset new conditions.

In an application example 4 of the present invention, it is assumed that the user K never focuses on "manual production" before, and therefore, does not collect websites related to "manual production" and therefore, history webpages do not include such websites, but the user K is interested in "manual production" in a recent period (for example, within a week), and collects several first webpages related to "manual production", in this case, a newly added preference feature "manual production" of the current user can be obtained according to the first webpages, and a corresponding target preference group (for example, "manual production fan group", "manual production exchange group", and the like) is obtained, so that the user K can be recommended, in step 503, that the user K is related to "manual production" but the user K does not collect in the favorites of other users in the target preference group. Therefore, the webpage matched with the newly added preference can be provided for the user K.

In an optional embodiment of the present invention, the step 502 of determining the target user group to which the current user belongs may further include:

collecting the common position characteristics of the current user;

and screening a target preference group corresponding to the newly added preference feature of the current user according to the common position feature to obtain a final target user group.

The common location features can be used for location features frequently appearing in the location features of the current user, such as location features corresponding to families and companies. In this optional embodiment, when the number of the target user groups obtained in step 523 is large, the common location features may be used to screen the target user groups, so as to obtain target user groups that better conform to the common location features and that better conform to the reality. For example, if user K is a student at the university of qinghua, and at the same time, lives in xx cells, the final target user group may include: the group of target users about "handcrafting" in the Qinghua university and xx cell, whereby accurate recommendation of web pages can be achieved.

Method example five

Referring to fig. 6, a flowchart illustrating the fifth step of the embodiment of the web page processing method according to the present invention may specifically include the following steps:

601, judging whether to recommend a webpage or not according to the setting information of the current user, if so, executing 602 and 604, otherwise, ending the process;

wherein, a setting interface may be provided to enable a user to set whether to use the web page recommendation function through the setting interface, that is, the setting information may specifically include: yes or no, it can be understood that the specific setting manner of whether the web page recommendation function is used is not limited in the embodiment of the present invention.

Step 602, determining a target user group to which a current user belongs;

step 603, acquiring a target webpage to be recommended according to a historical webpage corresponding to the historical attention behavior of the target user group;

step 604, acquiring favorite contents of a current user;

step 605, comparing the target webpage with the favorite content to obtain a corresponding comparison result;

step 606, according to the comparison result, judging whether the favorite content needs to be updated, if so, executing step 607, otherwise, ending the process;

step 607, recommending a target webpage with different contents from the favorite to the current user;

and 608, executing corresponding webpage collection operation according to the triggering operation of the current user on the target webpage with different contents from the favorite.

It should be noted that, for simplicity of description, the method embodiments are described as a series of motion combinations, but those skilled in the art should understand that the present invention is not limited by the described motion sequences, because some steps may be performed in other sequences or simultaneously according to the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no moving act is required as an embodiment of the invention.

Device embodiment

Referring to fig. 7, a block diagram illustrating a structure of an embodiment of a web page processing apparatus of the present invention may specifically include: a group determination module 701, a web page acquisition module 702 and a web page recommendation module 703.

The group determining module 701 is configured to determine a target user group to which a current user belongs;

a web page obtaining module 702, configured to obtain a target web page to be recommended according to a historical web page corresponding to a historical attention behavior of the target user group; and

the web page recommending module 703 is configured to recommend the target web page to the current user.

In an optional embodiment of the present invention, the group determining module 701 specifically may include:

the first acquisition submodule is used for acquiring the current position characteristics of the current user; and

and the first matching submodule is used for matching the current position characteristic with the preset position characteristic corresponding to the preset area group so as to obtain the target area group corresponding to the current position characteristic.

In another optional embodiment of the present invention, the group determining module 701 may specifically include:

the first feature acquisition submodule is used for acquiring preference features of the current user according to a historical webpage corresponding to the historical attention behavior of the current user; and

and the second matching sub-module is used for matching the preference characteristics of the current user with the preset preference characteristics corresponding to the preset preference groups so as to obtain the target preference groups corresponding to the preference characteristics of the current user.

In yet another optional embodiment of the present invention, the web page obtaining module 702 may specifically include:

and the selection sub-module is used for acquiring corresponding attention features according to the historical attention behaviors of the target user group and selecting a target webpage to be recommended from webpages corresponding to the attention features.

In yet another optional embodiment of the present invention, the apparatus may further comprise:

the information acquisition module is used for acquiring the current environment information of the current user before the webpage recommending module recommends the target webpage to the current user;

the web page recommending module 703 may specifically include:

and the first recommending submodule is used for recommending the target webpage to the current user when the current environment information accords with a preset new access requirement condition.

In an optional embodiment of the present invention, the step of making the current environment information meet a preset new access requirement condition may specifically include:

the change of the current position characteristic relative to the historical position characteristic accords with a preset region change condition; and/or

The use information and/or installation information of the current browser conforms to the preset use condition.

In another optional embodiment of the present invention, the apparatus may further comprise:

the comparison module is used for comparing the target webpage with the favorite content of the current user to obtain a corresponding comparison result;

the web page recommendation module 703 may specifically include:

and the second recommending submodule is used for recommending a target webpage with different contents from the favorite contents to the current user according to the comparison result.

In yet another alternative embodiment of the present invention, the apparatus may further include:

the newly added acquisition module is used for acquiring newly added webpages which are matched with the target user group and are newly added in a preset time period;

and the new recommending module is used for recommending the new webpage to the current user.

In an optional embodiment of the present invention, the web page obtaining module 702 may specifically include:

the traversal submodule is used for traversing the historical webpage corresponding to the historical attention behavior of the target user group according to a preset period so as to obtain an updated target historical webpage; and

the first comparison submodule is used for comparing the target historical webpage with the favorite content of the current user to obtain a target historical webpage different from the favorite content;

the web page recommending module 703 may specifically include:

and the third recommending submodule is used for recommending a target historical webpage with different contents from the favorite contents to the current user.

the first monitoring submodule is used for monitoring historical attention behaviors of users in the target user group and corresponding historical webpages; and

the second comparison sub-module is used for comparing the historical webpage with the favorite content of the current user after the historical webpage is monitored so as to obtain a target historical webpage different from the favorite content;

the web page recommendation module 703 may specifically include:

and the fourth recommending submodule is used for recommending a target historical webpage with different contents from the favorite contents to the current user.

the second monitoring submodule is used for monitoring a first webpage which is actively collected by a current user in a latest time period and accords with a preset newly-added condition;

the second characteristic obtaining submodule is used for obtaining the newly added preference characteristics of the current user according to the first webpage;

and the group acquisition submodule is used for matching the newly added preference features of the current user with the preset preference features corresponding to the preset preference groups so as to obtain the target preference groups corresponding to the newly added preference features of the current user.

In an optional embodiment of the present invention, the group determining module 701 may further include:

the acquisition submodule is used for acquiring the common position characteristics of the current user;

and the screening submodule is used for screening a target preference group corresponding to the newly added preference feature of the current user according to the common position feature so as to obtain a final target user group.

For the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.

The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.

With regard to the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be described in detail here.

FIG. 8 is a block diagram illustrating an apparatus 900 for web page processing in accordance with an example embodiment. For example, the apparatus 900 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.

Referring to fig. 8, the apparatus 900 may include one or more of the following components: processing component 902, memory 904, power component 906, multimedia component 908, audio component 910, input/output (I/O) interface 912, sensor component 914, and communication component 916.

The processing component 902 generally controls overall operation of the device 900, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. Processing element 902 may include one or more processors 920 to execute instructions to perform all or a portion of the steps of the methods described above. Further, processing component 902 can include one or more modules that facilitate interaction between processing component 902 and other components. For example, the processing component 902 can include a multimedia module to facilitate interaction between the multimedia component 908 and the processing component 902.

The memory 904 is configured to store various types of data to support operation at the device 900. Examples of such data include instructions for any application or method operating on device 900, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 904 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 906 provides power to the various components of the device 900. The power components 906 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 900.

The multimedia component 908 comprises a screen providing an output interface between the device 900 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide motion action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 908 includes a front facing camera and/or a rear facing camera. The front-facing camera and/or the rear-facing camera may receive external multimedia data when the device 900 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 910 is configured to output and/or input audio signals. For example, audio component 910 includes a Microphone (MIC) configured to receive external audio signals when apparatus 900 is in an operating mode, such as a call mode, a record mode, and a voice recognition mode. The received audio signals may further be stored in the memory 904 or transmitted via the communication component 916. In some embodiments, audio component 910 further includes a speaker for outputting audio signals.

The I/O interface 912 provides an interface between the processing component 902 and a peripheral interface module, which may be a keyboard, click wheel, button, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor component 914 includes one or more sensors for providing various aspects of state assessment for the device 900. For example, the sensor component 914 may detect an open/closed state of the device 900, the relative positioning of components, such as a display and keypad of the apparatus 900, the sensor component 914 may also detect a change in position of the apparatus 900 or a component of the apparatus 900, the presence or absence of user contact with the apparatus 900, orientation or acceleration/deceleration of the apparatus 900, and a change in temperature of the apparatus 900. The sensor assembly 914 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor assembly 914 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 914 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 916 is configured to facilitate communications between the apparatus 900 and other devices in a wired or wireless manner. The apparatus 900 may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 916 receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 916 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 900 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 604 comprising instructions, executable by the processor 620 of the apparatus 600 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

A non-transitory computer readable storage medium having instructions therein, which when executed by a processor of a smart terminal, enable the smart terminal to perform a web page processing method, the method comprising: determining a target user group to which a current user belongs; acquiring a target webpage to be recommended according to a historical webpage corresponding to the historical attention behavior of the target user group; and recommending the target webpage to the current user.

Fig. 9 is a schematic structural diagram of a server in an embodiment of the present invention. The server 1900, which may vary considerably in configuration or performance, may include one or more Central Processing Units (CPUs) 1922 (e.g., one or more processors) and memory 1932, one or more storage media 1930 (e.g., one or more mass storage devices) storing applications 1942 or data 1944. Memory 1932 and storage medium 1930 can be, among other things, transient or persistent storage. The program stored in the storage medium 1930 may include one or more modules (not shown), each of which may include a series of instructions operating on a server. Still further, a central processor 1922 may be provided in communication with the storage medium 1930 to execute a sequence of instruction operations in the storage medium 1930 on the server 1900.

The server 1900 may also include one or more power supplies 1926, one or more wired or wireless network interfaces 1950, one or more input/output interfaces 1958, one or more keyboards 1956, and/or one or more operating systems 1941, such as Windows Server, mac OS XTM, unixTM, linuxTM, freeBSDTM, and so forth.

Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. The invention is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

It will be understood that the invention is not limited to the precise arrangements that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.

The foregoing detailed description is provided for a web page processing method, a web page processing apparatus and a web page processing apparatus, and specific examples are applied herein to explain the principles and embodiments of the present invention, and the descriptions of the foregoing embodiments are only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A method for processing a web page, comprising:

inquiring protocol IP information interconnected between networks of a current user terminal through a preset inquiry interface, and matching the current IP information with an IP information range of a preset area group to obtain a target area group corresponding to the current IP information, wherein the preset quantity bits of the IP information in the same preset area group are the same;

determining a target user group to which a current user belongs, wherein the target user group comprises the target area group, and the target user group corresponds to a school or a company;

obtaining a target webpage to be recommended according to a historical webpage corresponding to a historical concern behavior of the target user group, wherein the historical concern behavior comprises the following steps: historical collection behavior and historical access behavior, the target webpage comprising: accessing the web pages of which the access frequency meets a preset low-frequency condition and the collection proportion in the target user group meets a preset high-proportion condition;

under the condition that the target user group corresponds to the school, the target webpage comprises an official webpage of the school and/or an official webpage of internal organizations of the school, and the official webpage is used for providing academic information inquiry and/or notice notification for users in the target user group; in the case that the target user group corresponds to the company, the target web page includes a related web page of the company, the related web page includes a company profile page, a company mailbox page, and/or a company office page;

recommending the target webpage to the current user;

the acquiring a target webpage to be recommended according to a historical webpage corresponding to the historical attention behavior of the target user group comprises the following steps:

traversing the historical webpages corresponding to the historical attention behaviors of the target user group according to a preset period to obtain updated target historical webpages;

the recommending the target webpage to the current user comprises the following steps:

recommending the target historical webpage different from the favorite content to the current user; alternatively, the first and second electrodes may be,

under the condition that the current environment information accords with a preset new access requirement condition, recommending the target webpage to the current user;

wherein, the condition that the current environment information accords with the preset new access requirement condition comprises at least one of the following items: the duration of the user terminal reaching a location for the first time is greater than a time threshold, the application is installed for the first time, the number of times of use of the application is less than a time threshold, or the latest time of use of the application is greater than a time threshold from the current time, wherein the time threshold is used for indicating the latest time of use for enabling the access requirement of the user to change.

2. The method of claim 1, wherein the step of determining the target user group to which the current user belongs comprises:

acquiring preference characteristics of a current user according to a historical webpage corresponding to a historical attention behavior of the current user;

and matching the preference characteristics of the current user with the preset preference characteristics corresponding to the preset preference groups to obtain a target preference group corresponding to the preference characteristics of the current user.

3. The method according to claim 1, wherein the step of obtaining the target web page to be recommended according to the historical web page corresponding to the historical attention behavior of the target user group comprises:

and acquiring corresponding attention characteristics according to the historical attention behaviors of the target user group, and selecting a target webpage to be recommended from webpages corresponding to the attention characteristics.

4. The method of claim 1, wherein prior to the step of recommending the target webpage to the current user, the method further comprises:

comparing the target webpage with the favorite content of the current user to obtain a corresponding comparison result;

the step of recommending the target webpage to the current user includes:

and recommending the target webpage with different contents from the favorite contents to the current user according to the comparison result.

5. The method according to claim 1, wherein the step of obtaining the target web page to be recommended according to the historical web page corresponding to the historical attention behavior of the target user group comprises:

monitoring historical attention behaviors of users in the target user group and corresponding historical webpages thereof;

the step of recommending the target webpage to the current user includes:

and recommending the target history webpage different from the favorite content to the current user.

6. The method of claim 1, wherein the step of determining the target user group to which the current user belongs comprises:

monitoring a first webpage which is actively collected by a current user in a latest time period and meets a preset newly-added condition;

acquiring newly added preference characteristics of the current user according to the first webpage;

and matching the newly added preference features of the current user with the preset preference features corresponding to the preset preference groups to obtain the target preference groups corresponding to the newly added preference features of the current user.

7. The method of claim 6, wherein the step of determining the target user group to which the current user belongs further comprises:

collecting the common position characteristics of the current user;

8. The method of claim 1, further comprising:

acquiring a newly added webpage which is matched with the target user group and is newly added in a preset time period;

and recommending the new webpage to the current user.

9. A web page processing apparatus, comprising:

the group determination module comprises a first acquisition submodule and a first matching submodule; the first acquisition submodule is used for inquiring the protocol IP information interconnected among networks of the current user terminal through a preset inquiry interface;

the first matching submodule is used for matching the current IP information with the IP information range of a preset area group to obtain a target area group corresponding to the current IP information, wherein the preset quantity bits of the IP information in the same preset area group are the same;

the group determination module is further configured to determine a target user group to which a current user belongs, where the target user group includes the target area group, and the target user group corresponds to a school or a company;

a web page obtaining module, configured to obtain a target web page to be recommended according to a historical web page corresponding to a historical attention behavior of the target user group, where the historical attention behavior includes: historical collection behavior and historical access behavior, the target webpage comprising: accessing a webpage with the frequency meeting a preset low-frequency condition and the collection proportion in the target user group meeting a preset high-proportion condition;

under the condition that the target user group corresponds to the school, the target webpage comprises an official webpage of the school and/or an official webpage of an internal organization of the school, and the official webpage is used for providing academic information inquiry and/or notice notification for users in the target user group; in the case that the target user group corresponds to the company, the target web page includes a related web page of the company, the related web page includes a company profile page, a company mailbox page, and/or a company office page;

the webpage recommending module is used for recommending the target webpage to the current user;

the traversing submodule is used for traversing the historical webpages corresponding to the historical attention behaviors of the target user group according to a preset period to obtain updated target historical webpages;

the first comparison sub-module is used for comparing the target historical webpage with the favorite content of the current user to obtain a target historical webpage different from the favorite content;

the webpage recommending module comprises a first recommending submodule and a third recommending submodule; the third recommending submodule is used for recommending the target historical webpage with different contents from the favorite contents to the current user;

the first recommending submodule is used for recommending the target webpage to the current user under the condition that the current environment information accords with a preset new access requirement condition;

wherein, the condition that the current environment information accords with the preset new access requirement condition comprises at least one of the following items: the duration of the first arrival of the user terminal at a location is greater than a time threshold, the application is installed for the first time, the number of times of use of the application is less than a number threshold, or the latest time of use of the application is greater than a time threshold from the current time, wherein the time threshold is used for indicating the latest time of use for enabling the access requirements of the user to change.

10. The apparatus of claim 9, wherein the group determination module comprises:

11. The apparatus of claim 9, wherein the web page obtaining module comprises:

12. The apparatus of claim 9, further comprising:

the comparison module is used for comparing the target webpage with the content of the favorite of the current user to obtain a corresponding comparison result;

the web page recommendation module includes:

and the second recommending submodule is used for recommending the target webpage with the content different from that of the favorite to the current user according to the comparison result.

13. The apparatus of claim 9, further comprising:

and the new recommendation module is used for recommending the new webpage to the current user.

14. The apparatus of claim 9, wherein the web page obtaining module comprises:

the first monitoring submodule is used for monitoring historical attention behaviors of users in the target user group and corresponding historical webpages thereof; and

the second comparison submodule is used for comparing the historical webpage with the favorite content of the current user after the historical webpage is monitored so as to obtain a target historical webpage different from the favorite content;

the web page recommendation module includes:

and the fourth recommending submodule is used for recommending the target historical webpage with the content different from that of the favorite to the current user.

15. The apparatus of claim 9, wherein the group determination module comprises:

the second characteristic acquisition sub-module is used for acquiring newly added preference characteristics of the current user according to the first webpage;

16. The apparatus of claim 15, wherein the group determination module further comprises:

17. An apparatus for web page processing, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and wherein execution of the one or more programs by one or more processors comprises instructions for:

inquiring protocol IP information interconnected between networks of a current user terminal through a preset inquiry interface, and matching the current IP information with the IP information range of a preset area group to obtain a target area group corresponding to the current IP information, wherein the preset quantity bits of the IP information in the same preset area group are the same;

acquiring a target webpage to be recommended according to a historical webpage corresponding to the historical attention behavior of the target user group, wherein the historical attention behavior comprises the following steps: historical collection behavior and historical access behavior, the target webpage comprising: accessing the web pages of which the access frequency meets a preset low-frequency condition and the collection proportion in the target user group meets a preset high-proportion condition;

recommending the target webpage to the current user;

traversing the historical webpage corresponding to the historical attention behavior of the target user group according to a preset period to obtain an updated target historical webpage;

recommending the target historical webpage different from the favorite content to the current user; alternatively, the first and second liquid crystal display panels may be,

recommending the target webpage to the current user when the current environment information meets the preset new access requirement condition;

18. The apparatus of claim 17, wherein the determining the target user group to which the current user belongs comprises:

19. The apparatus according to claim 17, wherein the obtaining a target web page to be recommended according to a historical web page corresponding to a historical attention behavior of the target user group comprises:

20. The apparatus of claim 17, wherein prior to the recommending the target web page to the current user, the apparatus being further configured to execute the one or more programs by one or more processors includes instructions for:

the recommending the target webpage to the current user includes:

21. The apparatus according to claim 17, wherein the obtaining a target web page to be recommended according to a historical web page corresponding to a historical attention behavior of the target user group comprises:

the recommending the target webpage to the current user includes:

22. The apparatus of claim 17, wherein the determining the target user group to which the current user belongs comprises:

23. The apparatus of claim 22, wherein the determining a target user group to which the current user belongs further comprises:

collecting the common position characteristics of the current user;

24. The apparatus of claim 17, wherein the apparatus is also configured to execute the one or more programs by one or more processors includes instructions for:

and recommending the new webpage to the current user.

25. One or more machine readable media having instructions stored thereon that, when executed by one or more processors, cause an apparatus to perform the method of one or more of claims 1-8.