CN104899220A - Application program recommendation method and system - Google Patents
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- CN104899220A CN104899220A CN201410081705.0A CN201410081705A CN104899220A CN 104899220 A CN104899220 A CN 104899220A CN 201410081705 A CN201410081705 A CN 201410081705A CN 104899220 A CN104899220 A CN 104899220A
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
Abstract
Disclosed is an application program recommendation method, comprising: acquiring a webpage application program accessed by a browser; acquiring a program category to which the webpage application program pertains, and obtaining the program category accessed by the browser; collecting statistics for access indicators corresponding to the program categories accessed by the browser, and extracting a predetermined number of program categories that are most frequently accessed; acquiring information of the application programs corresponding to the extracted program categories; and pushing the acquired information of the application programs. According to the method provided by the present invention, in a webpage application program used by a user, statistical collection is made for the program categories to which user's interested webpage application programs pertain, and information of the application programs corresponding to the program categories in which the user is interested is acquired, the information of the application programs is recommended to the user. It is highly probable that the user accepts the application programs, which, compared against massively pushing the relevant information of the application programs, can improve usage rates of the network bandwidth and system resources. In addition, the present invention further provides an application program recommendation system.
Description
Technical field
The present invention relates to network and field of computer technology, particularly relate to application program recommend method and system.Background technology
Web page application program, its English abbreviation is Web app, is a kind of application software using web browser to operate on internet or intranet.Because Web page application program is a kind of application program of writing with homepages language programming languages such as () such as HTML, JavaScript, Java, so Web page application program needs to be run by browser.
Nowadays many Web page application programs are very in fashion, and one of reason is because Web page application program can directly run on various computer platform, and does not need to install in advance or regularly upgrade.Common Web page application program has many application such as Webmail, online store, network auction, wiki, network forum, blog, online game.
The quantity of customer group and coverage decide the development of application program, and application program also exists the needs promoted the use of.General, application program operator applies the relevant information of program by all means to user, such as, shown the relevant information of the application program that need promote to user by pop-up ad and various client end interfaces etc. that the web page contents of website, webpage are subsidiary.
On the one hand, the application program recommendation information covered the sky and the earth causes harassing and wrecking to user on certain procedures, on the other hand, the probability that user accepts the application program of recommending is lower, thus when not having specific objective to push customer group the relevant information of magnanimity ground pushing application program, be the one waste to the network bandwidth and resource for computer system.
Summary of the invention
Based on this, be necessary to provide a kind of application program recommend method that can improve the network bandwidth and resource utilization ratio.
A kind of application program recommend method, comprises the following steps:
Obtain the Web page application program of browser access;
Obtain the programs categories belonging to described Web page application program, obtain the programs categories of browser access;
Add up the access index that each described programs categories of browser access is corresponding, extract the programs categories of the forward predetermined number of access index;
Obtain the information of application program corresponding to programs categories extracted;
Push the information of the application program obtained.
In addition, there is a need to provide a kind of application program commending system that can improve the network bandwidth and resource utilization ratio.
A kind of application program commending system, comprising:
Access program acquisition module, for obtaining the Web page application program of browser access;
Access level acquisition module, for obtaining the programs categories belonging to described Web page application program, obtains the programs categories of browser access;
Classification extraction module, the access index that each described programs categories for adding up browser access is corresponding, extracts the programs categories of the forward predetermined number of access index;
Program information acquisition module, the information of the application program that the programs categories for obtaining extraction is corresponding;
Info push module, for pushing the information of the application program of acquisition.
Above-mentioned application program recommend method and system, obtain the programs categories belonging to Web page application program of browser access, and the access index that each programs categories adding up browser access is corresponding, obtain the information of application program corresponding to the forward programs categories of access index, recommend the information of these application programs to user, the Web page application program of browser access is the used Web page application program of user, the forward programs categories of access index can classification belonging to the interested Web page application program of representative of consumer, above-mentioned application program recommend method and system, in the used Web page application program of user, count the programs categories belonging to the interested Web page application program of user, and obtain the information of Web page application program corresponding to the interested programs categories of user, by the information recommendation of these Web page application programs to user, the probability that user accepts these Web page application programs is higher, relative to the magnanimity ground pushing application program relevant information when not having specific objective to push customer group, said method and system can improve the network bandwidth and resource utilization ratio.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the application program recommend method in an embodiment;
Fig. 2 is the schematic flow sheet of the step S106 of Fig. 1 in an embodiment;
Fig. 3 is the schematic flow sheet of the step S202 of Fig. 2 in an embodiment;
Fig. 4 is the structural representation of the application program commending system in an embodiment;
Fig. 5 is the structural representation of classification extraction module in an embodiment;
Fig. 6 is the structural representation of an embodiment Program data obtaining module;
Fig. 7 is the structural representation of the application program commending system in another embodiment;
Fig. 8 is the structural representation of the application program commending system in another embodiment;
Fig. 9 is the module map of a computer system 1000 that can realize the embodiment of the present invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Unless context separately has the description of specific distinct, the element in the present invention and assembly, the form that quantity both can be single exists, and form that also can be multiple exists, and the present invention does not limit this.Although the step in the present invention arranges with label, and be not used in and limit the precedence of step, the order of step or the execution of certain step need based on other steps unless expressly stated, otherwise the relative rank of step is adjustable.Be appreciated that term "and/or" used herein relates to and contains the one or more any and all possible combination in the Listed Items be associated.
As shown in Figure 1, in one embodiment, a kind of application program recommend method, comprises the following steps:
Step S102, obtains the Web page application program of browser access.
In one embodiment, the Web page application program being added quick access mode in a browser can be obtained.The approach that Web page application program is added quick access mode in a browser has multiple, such as, is added to bookmark or quick links, and to be added in browser collection folder etc.The Web page application program being added quick access mode can be accessed quickly and easily, and it is also often the Web page application program that user is interested, access frequency is higher.
In another embodiment, browser access frequency can be obtained and meet pre-conditioned Web page application program.Pre-conditioned can be reaches predetermined threshold value, such as monthly three inferior; Step S102 can obtain the Web page application program that browser access frequency reaches predetermined threshold value.The pre-conditioned access frequency rank that also can be is in front predetermined number position etc.; Step S102 can obtain the high front predetermined number Web page application program of browser access frequency.
In other embodiments, the Web page application program being added quick access mode in a browser can be obtained and obtain browser access frequency and meet pre-conditioned Web page application program.
In above-described embodiment, quick access mode has been added in a browser or browser access frequency meets pre-conditioned Web page application program by obtaining, obtain more interested Web page application program in the Web page application program of user's access, thus facilitate and follow-uply obtain the more interested Web page application program of user according in the more interested Web page application program of these users.
Step S104, obtains the programs categories belonging to Web page application program of browser access, obtains the programs categories of browser access.
First, the programs categories belonging to each Web page application program of browser access can be obtained.
In one embodiment, can programs categories be pre-set, and the Web page application program that setting program classification is corresponding, and the corresponding relation of storage program classification and Web page application program.Programs categories can be arranged according to the programs categories of user's input, and the Web page application program that programs categories is corresponding also can be arranged by the Web page application program corresponding according to the programs categories of user's input.Such as, following multiple programs categories can be set: amusement, instrument, social activity, music, efficiency, life, reference, travelling, physical culture, navigation, news, finance, photography, cuisines, trip etc., and the Web page application program that can arrange music program classification corresponding comprises: " extremely I music ", " 1,000 hark " etc.The Web page application program that step S104 can obtain according to step S102 searches corresponding programs categories at the programs categories prestored with the corresponding relation of Web page application program, and the programs categories belonging to marking of web pages application program.
In another embodiment, can programs categories be pre-set, add up the keyword that each programs categories is corresponding.Programs categories can be arranged according to the programs categories of user's input.In one embodiment, can search for according to programs categories title, and add up the high frequency words in Search Results, using the high frequency words that obtains as keyword corresponding to programs categories, the corresponding relation of further storage program classification and corresponding keyword.The page of step S104 webpage accessible application program, and the high frequency words extracted in the page of Web page application program, the keyword that the high frequency words of extraction is corresponding with each programs categories mates, and obtains the programs categories of programs categories belonging to Web page application program that the highest matching degree is corresponding.
Further, the set obtaining all Web page application program corresponding programme classifications of browser access can obtain the programs categories of browser access.
Step S106, adds up the access index that each programs categories of browser access is corresponding, extracts the programs categories of the forward predetermined number of access index.
As shown in Figure 2, in one embodiment, step S106 comprises the following steps:
Step S202, adds up the access duration that each programs categories of browser access is corresponding, and extracts the programs categories of the forward predetermined number of corresponding access duration.
As shown in Figure 3, the step of the access duration that each programs categories of statistics browser access is corresponding comprises the following steps:
Step S302, obtains the access duration of Web page application program according to the Visitor Logs of Web page application program.
In the present embodiment, above-mentioned application program recommend method also comprises the process forming Web page application program Visitor Logs, comprise the following steps: monitor and record start time and the end time of browser access Web page application program, obtaining Web page application program Visitor Logs.
Step S302 can according to the accessed each time start time of Web page application program in Web page application program Visitor Logs and result Time Calculation Web page application program access duration each time, and cumulative access duration each time, obtain the access duration of Web page application program.
Step S304, adds up the access duration belonging to the Web page application program of same programs categories, obtains the access duration that each programs categories is corresponding.
Further, can by the access duration descending sort of programs categories according to correspondence.Extract the programs categories of the predetermined number that position is forward in the programs categories sequence according to the descending sort of access duration.
Step S204, the quantity of the Web page application program that each programs categories adding up browser access comprises, and extract the programs categories of the forward predetermined number of quantity.
By the quantity descending sort of programs categories according to the Web page application program comprised, the programs categories of the predetermined number that position is forward in the programs categories sequence according to the Web page application program quantity descending sort comprised can be extracted.
Step S206, obtains the common program classification in the programs categories of extracted twice.
In one embodiment, step S106 can only include step S202, or only includes step S204.In the present embodiment, by a fairly large number of programs categories of Web page application program of browser access obtaining the larger programs categories of access duration or comprise, the interested programs categories of user can be obtained.
And obtain the larger programs categories of access duration and above-described embodiment of the common program classification in a fairly large number of programs categories of Web page application program of the browser access comprised, the more interested programs categories of user can be got.
Step S108, obtains the information of application program corresponding to programs categories extracted.
In one embodiment, before step S108, above-mentioned network application recommend method also comprises step: setting program classification, and the application program that setting program classification is corresponding, and the corresponding relation of storage program classification and application program.Programs categories can be arranged according to the programs categories of user's input, and the application program that programs categories is corresponding also can the application program corresponding according to the programs categories of user's input be arranged.In another embodiment, before step S108, above-mentioned network application recommend method also comprises step: setting program classification, searches for according to programs categories title, extract the application program in Search Results, and the corresponding relation of the application program of storage program classification and extraction.Same, programs categories can be arranged according to the programs categories of user's input.
The information of application program that step S108 obtains comprises the title of application program, icon, download address or download link and brief introduction content etc.
In one embodiment, step S108 comprises the following steps: the information obtaining the Web page application program that browser corresponding to programs categories that extract was not accessed.
The Web page application program that browser had been accessed can be obtained, in the application program that the programs categories prestored is corresponding with the programs categories that finding step S106 in the corresponding relation of application program extracts, and filter out the Web page application program that browser accessed, obtain the Web page application program that browser was not accessed; Further, the relevant information of the Web page application program acquired.
In another embodiment, step S108 comprises the following steps: the information obtaining the local uninstalled application program of browser corresponding to programs categories extracted.
Browser this locality refers to the equipment that browser runs.The local mounted application program of browser can be obtained, in the application program that the programs categories prestored is corresponding with the programs categories that finding step S106 in the corresponding relation of application program extracts, and filter out the local mounted application program of browser, obtain the local uninstalled application program of browser; Further, the relevant information of the Web page application program acquired.
Wherein in embodiment, step S108 comprises the following steps: the information obtaining the Web page application program that browser corresponding to programs categories that extract was not accessed, and obtains the information of the local uninstalled application program of browser corresponding to the programs categories that extracts.
Step S110, pushes the information of the application program obtained.
In one embodiment, browser obtains the Web page application program of its access, and the information of the Web page application program of acquisition is sent to server.Server obtains the programs categories belonging to Web page application program, obtain the programs categories of browser access, and the access index that each programs categories adding up browser access is corresponding, extract the programs categories of the forward predetermined number of access index, obtain the information of application program corresponding to programs categories extracted, further the information of the application program of acquisition is handed down to browser.
In one embodiment, above-mentioned application program recommend method also comprises: by the information of the above-mentioned application program of browser-presented.In one embodiment, pop-up window is generated by browser, the information of display application program in pop-up window; Or, the information of application program to be loaded in web page contents by browser and to show.
As shown in Figure 4, in one embodiment, a kind of application program commending system, comprises access program acquisition module 10, access level acquisition module 20, classification extraction module 30, program information acquisition module 40 and info push module 50, wherein:
Access program acquisition module 10 is for obtaining the Web page application program of browser access.
In one embodiment, access program acquisition module 10 is for obtaining the Web page application program being added quick access mode in a browser.The approach that Web page application program is added quick access mode in a browser has multiple, such as, is added to bookmark or quick links, and to be added in browser collection folder etc.The Web page application program being added quick access mode can be accessed quickly and easily, and it is also often the Web page application program that user is interested, access frequency is higher.
In another embodiment, access program acquisition module 10 meets pre-conditioned Web page application program for obtaining browser access frequency.Pre-conditioned can be reaches predetermined threshold value, such as monthly three inferior; Access program acquisition module 10 reaches the Web page application program of predetermined threshold value for obtaining browser access frequency.The pre-conditioned access frequency rank that also can be is in front predetermined number position etc.; Access program acquisition module 10 for can obtain browser access frequency high before a predetermined number Web page application program.
In other embodiments, access program acquisition module 10 meets pre-conditioned Web page application program for obtaining the Web page application program that has been added quick access mode in a browser and obtaining browser access frequency.
In above-described embodiment, quick access mode has been added in a browser or browser access frequency meets pre-conditioned Web page application program by obtaining, obtain more interested Web page application program in the Web page application program of user's access, thus facilitate and follow-uply obtain the more interested Web page application program of user according in the more interested Web page application program of these users.
Access level acquisition module 20 for obtain browser access Web page application program belonging to programs categories, obtain the programs categories of browser access.
First, access level acquisition module 20 can obtain the programs categories belonging to each Web page application program of browser access.
In one embodiment, above-mentioned application program commending system also comprises that classification arranges module, corresponding Web page application program arranges module and the first memory module (not shown), wherein: classification arranges module for pre-setting programs categories.Corresponding Web page application program arranges module for Web page application program corresponding to setting program classification.First memory module is used for the corresponding relation of storage program classification and Web page application program.Programs categories can be arranged according to the programs categories of user's input, and the Web page application program that programs categories is corresponding also can be arranged by the Web page application program corresponding according to the programs categories of user's input.Such as, classification arranges module can arrange following multiple programs categories: amusement, instrument, social activity, music, efficiency, life, reference, travelling, physical culture, navigation, news, finance, photography, cuisines, trip etc., and corresponding Web page application program arranges the Web page application program that module can arrange music program classification corresponding and comprises: " extremely I music ", " 1,000 hark " etc.The Web page application program that access level acquisition module 20 can obtain according to access program acquisition module 10 searches corresponding programs categories at the programs categories prestored with the corresponding relation of Web page application program, and the programs categories belonging to marking of web pages application program.
In another embodiment, above-mentioned application program commending system also comprises classification and arranges module, corresponding keyword statistical module and the second memory module (not shown).It is described above that classification arranges module.In one embodiment, corresponding keyword statistical module can be searched for according to programs categories title, and adds up the high frequency words in Search Results, using the high frequency words that obtains as keyword corresponding to programs categories.Second memory module is for the corresponding relation of storage program classification with corresponding keyword.The page of access level acquisition module 20 webpage accessible application program, and the high frequency words extracted in the page of Web page application program, the keyword that the high frequency words of extraction is corresponding with each programs categories mates, and obtains the programs categories of programs categories belonging to Web page application program that the highest matching degree is corresponding.
Further, the set that access level acquisition module 20 obtains all Web page application program corresponding programme classifications of browser access can obtain the programs categories of browser access.
Classification extraction module 30, for access index corresponding to each programs categories of adding up browser access, extracts the programs categories of the forward predetermined number of access index.
As shown in Figure 5, in one embodiment, classification extraction module 30 comprises first category extraction module 320, the other extraction module 340 of Equations of The Second Kind and public classification acquisition module 360, wherein:
First category extraction module 320 for access duration corresponding to each programs categories of adding up browser access, and extracts the programs categories of the forward predetermined number of corresponding access duration.
In one embodiment, first category extraction module 320 can obtain the access duration of Web page application program according to the Visitor Logs of Web page application program,
In the present embodiment, above-mentioned application program commending system also comprises Visitor Logs generation module (not shown), for the formation of Web page application program Visitor Logs.In one embodiment, Visitor Logs generation module, for monitoring and recording start time and the end time of browser access Web page application program, obtains Web page application program Visitor Logs.
First category extraction module 320 can according to the accessed each time start time of Web page application program in Web page application program Visitor Logs and result Time Calculation Web page application program access duration each time, and cumulative access duration each time, obtain the access duration of Web page application program.
Further, the access duration belonging to the Web page application program of same programs categories can add up by first category extraction module 320, obtains the access duration that each programs categories is corresponding.
Further, first category extraction module 320 by the access duration descending sort of programs categories according to correspondence, can extract the programs categories of the predetermined number that position is forward in the programs categories sequence according to the descending sort of access duration.
The quantity of the Web page application program that the other extraction module 340 of Equations of The Second Kind comprises for each programs categories adding up browser access, and extract the programs categories of the forward predetermined number of quantity.
The other extraction module 340 of Equations of The Second Kind by the quantity descending sort of programs categories according to the Web page application program comprised, can extract the programs categories of the predetermined number that position is forward in the programs categories sequence according to the Web page application program quantity descending sort comprised.
Public classification acquisition module 360 is for obtaining the common program classification in the programs categories of first category extraction module 320 and other extraction module 340 extraction of Equations of The Second Kind.
In one embodiment, classification extraction module 30 can only include first category extraction module 320, or only includes the other extraction module 340 of Equations of The Second Kind.In above-described embodiment, by a fairly large number of programs categories of Web page application program of browser access obtaining the larger programs categories of access duration or comprise, the interested programs categories of user can be obtained.
And obtain the larger programs categories of access duration and above-described embodiment of the common program classification in a fairly large number of programs categories of Web page application program of the browser access comprised, the more interested programs categories of user can be got.
Program information acquisition module 40 obtains the information of application program corresponding to programs categories extracted.
In one embodiment, above-mentioned application program commending system also comprises that classification arranges module, corresponding application program arranges module and the 3rd memory module (not shown), wherein: it is described above that classification arranges module.Corresponding application program arranges module for application program corresponding to setting program classification.3rd memory module is used for the corresponding relation of storage program classification and application program.The application program that programs categories is corresponding also can the application program corresponding according to the programs categories of user's input be arranged.
In another embodiment, in one embodiment, above-mentioned application program commending system also comprises classification and arranges module, search and result extraction module and the 4th memory module (not shown), wherein: it is described above that classification arranges module.Search and result extraction module are used for searching for according to programs categories title, extract the application program in Search Results, and the corresponding relation of the application program of storage program classification and extraction.
The information of application program that program information acquisition module 40 obtains comprises the title of application program, icon, download address or download link and brief introduction content etc.
As shown in Figure 6, in one embodiment, program information acquisition module 40 comprises non-access program data obtaining module 402 and non-Installer Information acquisition module 404, wherein:
The information of the Web page application program that non-access program data obtaining module 402 was not accessed for the browser that the programs categories that obtains extraction is corresponding.
Non-access program data obtaining module 402 can obtain the Web page application program that browser had been accessed, in the application program that the programs categories prestored is corresponding with searching programs categories that classification extraction module 30 extracts in the corresponding relation of application program, and filter out the Web page application program that browser accessed, obtain the Web page application program that browser was not accessed; Further, the relevant information of the Web page application program acquired.
Non-Installer Information acquisition module 404 is for the information of the local uninstalled application program of browser that the programs categories that obtains extraction is corresponding.
Browser this locality refers to the equipment that browser runs.Non-Installer Information acquisition module 404 can obtain the local mounted application program of browser, in the application program that the programs categories prestored is corresponding with the programs categories that finding step S106 in the corresponding relation of application program extracts, and filter out the local mounted application program of browser, obtain the local uninstalled application program of browser; Further, the relevant information of the Web page application program acquired.
In one embodiment, program information acquisition module 40 can only include non-access program data obtaining module 402 or only include non-Installer Information acquisition module 404.
Info push module 50 is for pushing the information of the application program of acquisition.
As shown in Figure 7, in one embodiment, access program acquisition module 10 runs on browser, access level acquisition module 20, classification extraction module 30, program information acquisition module 40 and info push module 50 run on server, and above-mentioned application program commending system also comprises the sending module 60 running on browser, the information for the Web page application program obtained by access program acquisition module 10 sends to server.In the present embodiment, info push module 50 is handed down to browser for the information of the Web page application program obtained by program information acquisition module 40.
As shown in Figure 8, in one embodiment, above-mentioned application program commending system also comprises the display module 70 running on browser, for the information of the application program that exhibition information pushing module 50 issues.In one embodiment, display module 70 can generate pop-up window, the information of display application program in pop-up window; Or, the information of application program can be loaded in web page contents and to show.
Above-mentioned application program recommend method and system, obtain the programs categories belonging to Web page application program of browser access, and the access index that each programs categories adding up browser access is corresponding, obtain the information of application program corresponding to the forward programs categories of access index, recommend the information of these application programs to user, the Web page application program of browser access is the used Web page application program of user, the forward programs categories of access index can classification belonging to the interested Web page application program of representative of consumer, above-mentioned application program recommend method and system, in the used Web page application program of user, count the programs categories belonging to the interested Web page application program of user, and obtain the information of Web page application program corresponding to the interested programs categories of user, by the information recommendation of these Web page application programs to user, the probability that user accepts these Web page application programs is higher, relative to the magnanimity ground pushing application program relevant information when not having specific objective to push customer group, said method and system can improve the network bandwidth and resource utilization ratio.
Fig. 9 is the module map of a computer system 1000 that can realize the embodiment of the present invention.This computer system 1000 is an example being applicable to computer environment of the present invention, can not think to propose any restriction to usable range of the present invention.Computer system 1000 can not be interpreted as the combination needing the one or more parts depending on or have in illustrated exemplary computer system 1000.
Computer system 1000 shown in Fig. 9 is the examples being suitable for computer system of the present invention.Other framework with different sub-systems configuration also can use.The similar devices such as the desktop computer known by masses, notebook, panel computer are such as had to go for some embodiments of the present invention.But be not limited to above cited equipment.
As shown in Figure 9, computer system 1000 comprises processor 1010, storer 1020 and system bus 1022.The various system components comprising storer 1020 and processor 1010 are connected on system bus 1022.Processor 1010 is the hardware being used for being performed by arithmetic sum logical operation basic in computer system computer program instructions.Storer 1020 be one for storing the physical equipment of calculation procedure or data (such as, program state information) temporarily or permanently.System bus 1020 can be any one in the bus structure of following several types, comprises memory bus or memory controller, peripheral bus and local bus.Processor 1010 and storer 1020 can carry out data communication by system bus 1022.Wherein storer 1020 comprises ROM (read-only memory) (ROM) or flash memory (all not shown in figure), and random access memory (RAM), and RAM typically refers to the primary memory being loaded with operating system and application program.
Computer system 1000 also comprises display interface 1030(such as, Graphics Processing Unit), display device 1040(such as, liquid crystal display), audio interface 1050(such as, sound card) and audio frequency apparatus 1060(such as, loudspeaker).Display device 1040 and audio frequency apparatus 1060 are the media devices for experiencing content of multimedia.
Computer system 1000 generally comprises a memory device 1070.Memory device 1070 can be selected from multiple computer-readable medium, and computer-readable medium refers to any available medium can accessed by computer system 1000, that comprise movement and fixing two media.Such as, computer-readable medium includes but not limited to, flash memory (miniature SD card), CD-ROM, digital versatile disc (DVD) or other optical disc storage, tape cassete, tape, disk storage or other magnetic storage apparatus, or can be used for storing information needed and other medium any can accessed by computer system 1000.
Computer system 1000 also comprises input media 1080 and input interface 1090(such as, I/O controller).User can pass through input media 1080, and as the touch panel equipment in keyboard, mouse, display device 1040, input instruction and information are in computer system 1000.Input media 1080 is normally connected on system bus 1022 by input interface 1090, but also can be connected by other interface or bus structure, as USB (universal serial bus) (USB).
Computer system 1000 can be carried out logic with one or more network equipment in a network environment and is connected.The network equipment can be PC, server, router, smart phone, panel computer or other common network node.Computer system 1000 is connected with the network equipment by Local Area Network interface 1100 or mobile comm unit 1110.Local Area Network refers in limited area, such as family, school, computer laboratory or use the office building of the network media, the computer network of interconnected composition.WiFi and twisted-pair feeder wiring Ethernet are two kinds of technology of the most frequently used structure LAN (Local Area Network).WiFi is a kind of technology that can make computer system 1000 swapping data or be connected to wireless network by radiowave.Mobile comm unit 1110 can be answered by radio communication diagram while movement and call in a wide geographic area.Except call, mobile comm unit 1110 is also supported in the 2G providing mobile data service, carries out internet access in 3G or 4G cellular communication system.
It should be pointed out that other computer system comprising the subsystem more more or less than computer system 1000 also can be applicable to invention.Such as, computer system 1000 can comprise the bluetooth unit that can exchange data in short distance, for the imageing sensor of taking a picture, and for the accelerometer of acceleration measurement.
As described in detail, be applicable to the assigned operation of computer system 1000 of the present invention energy executive utility recommend method above.The form of the software instruction that computer system 1000 is operated in computer-readable medium by processor 1010 performs these operations.These software instructions can be read into storer 1020 from memory device 1070 or by lan interfaces 1100 from another equipment.The software instruction be stored in storer 1020 makes processor 1010 perform above-mentioned application program recommend method.In addition, also the present invention can be realized equally by hardware circuit or hardware circuit in conjunction with software instruction.Therefore, the combination that the present invention is not limited to any specific hardware circuit and software is realized.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. an application program recommend method, comprises the following steps:
Obtain the Web page application program of browser access;
Obtain the programs categories belonging to described Web page application program, obtain the programs categories of browser access;
Add up the access index that each described programs categories of browser access is corresponding, extract the programs categories of the forward predetermined number of access index;
Obtain the information of application program corresponding to programs categories extracted;
Push the information of the application program obtained.
2. application program recommend method according to claim 1, is characterized in that, the step of the Web page application program of described acquisition browser access comprises:
Obtain and be added the Web page application program of quick access mode in a browser, and/or,
Obtain browser access frequency and meet pre-conditioned Web page application program.
3. application program recommend method according to claim 1, is characterized in that, the access index that each described programs categories of described statistics browser access is corresponding, and the step extracting the programs categories of the forward predetermined number of access index comprises:
Add up the access duration that described programs categories is corresponding, and extract the programs categories of the forward predetermined number of corresponding access duration; Or,
Add up the quantity of the Web page application program that described programs categories comprises, and extract the programs categories of the forward predetermined number of quantity.
4. application program recommend method according to claim 1, is characterized in that, the access index that each described programs categories of described statistics browser access is corresponding, and the step extracting the programs categories of the forward predetermined number of access index comprises:
Add up the access duration that described programs categories is corresponding, and extract the programs categories of the forward predetermined number of corresponding access duration;
Add up the quantity of the Web page application program that described programs categories comprises, and extract the programs categories of the forward predetermined number of quantity;
Obtain the common program classification in the programs categories of extracted twice.
5. application program recommend method according to claim 1, is characterized in that, the described information obtaining application program corresponding to programs categories extracted comprises:
Obtain the information of the Web page application program that described browser corresponding to programs categories that extract was not accessed, and/or,
Obtain the information of the local uninstalled application program of described browser corresponding to the programs categories that extracts.
6. an application program commending system, is characterized in that, comprising:
Access program acquisition module, for obtaining the Web page application program of browser access;
Access level acquisition module, for obtaining the programs categories belonging to described Web page application program, obtains the programs categories of browser access;
Classification extraction module, the access index that each described programs categories for adding up browser access is corresponding, extracts the programs categories of the forward predetermined number of access index;
Program information acquisition module, the information of the application program that the programs categories for obtaining extraction is corresponding;
Info push module, for pushing the information of the application program of acquisition.
7. application program commending system according to claim 6, is characterized in that, described access program acquisition module for obtaining the Web page application program being added quick access mode in a browser, and/or,
Pre-conditioned Web page application program is met for obtaining browser access frequency.
8. application program commending system according to claim 6, is characterized in that, described classification extraction module comprises first category extraction module or the other extraction module of Equations of The Second Kind, wherein:
Described first category extraction module for adding up access duration corresponding to described programs categories, and extracts the programs categories of the forward predetermined number of corresponding access duration;
The quantity of Web page application program of the other extraction module of described Equations of The Second Kind for adding up described programs categories and comprising, and extract the programs categories of the forward predetermined number of quantity.
9. application program commending system according to claim 6, is characterized in that, described classification extraction module comprises first category extraction module, the other extraction module of Equations of The Second Kind and public classification acquisition module, wherein:
Described first category extraction module for adding up access duration corresponding to described programs categories, and extracts the programs categories of the forward predetermined number of corresponding access duration;
The quantity of Web page application program of the other extraction module of described Equations of The Second Kind for adding up described programs categories and comprising, and extract the programs categories of the forward predetermined number of quantity;
Described public classification acquisition module obtains the common program classification in the programs categories of described first category extraction module and the other extraction module extraction of described Equations of The Second Kind.
10. application program commending system according to claim 6, is characterized in that, described program information acquisition module comprises non-access program data obtaining module and/or non-Installer Information acquisition module, wherein:
The information of the Web page application program that described non-access program data obtaining module was not accessed for the described browser that the programs categories that obtains extraction is corresponding;
Described non-Installer Information acquisition module is for the information of the local uninstalled application program of described browser that the programs categories that obtains extraction is corresponding.
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| CN201410081705.0A CN104899220B (en) | 2014-03-06 | 2014-03-06 | Application program recommendation method and system |
| PCT/CN2015/073561 WO2015131803A1 (en) | 2014-03-06 | 2015-03-03 | Application recommending method and system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410081705.0A CN104899220B (en) | 2014-03-06 | 2014-03-06 | Application program recommendation method and system |
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| Publication number | Publication date |
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| CN104899220B (en) | 2021-06-25 |
| WO2015131803A1 (en) | 2015-09-11 |
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