CN104866505A - Application recommendation method and device - Google Patents
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- CN104866505A CN104866505A CN201410065320.5A CN201410065320A CN104866505A CN 104866505 A CN104866505 A CN 104866505A CN 201410065320 A CN201410065320 A CN 201410065320A CN 104866505 A CN104866505 A CN 104866505A
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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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
Abstract
The invention is applied to the technical field of the internet and provides an application recommendation method and device. The application recommendation method comprises steps as follows: detecting a first application installed in a system; determining a second application matched with the detected first application; loading in a display page and loading the determined second application in the display page. According to the application recommendation method and device, background prediction is performed on the application which a user prefers or needs probably according to the application installed in the system, the predicted application is loaded in the corresponding display page, so that the user does not need to search the internet for a long time to find the application meeting the requirement, and the access convenience of the application is greatly improved.
Description
Technical field
The invention belongs to Internet technical field, particularly relate to a kind of recommend method and device of application.
Background technology
Web application (WebApp), refer to and run on network and standard browser, realize the application of specific function based on web technologies exploitation, such as, help house purchaser to calculate the webpage of housing loan detail, or provide the large complicated Web site of a complete set of tourist service for holiday maker.Because web application possesses, cost of development is low, compatibility is good, without the need to advantages such as installations, more and more receive the favor of users.
Along with web application develops the surging of temperature, the web application of magnanimity is developed, uploads, wait for that user is conducted interviews one by one by browser, but corresponding problem also produces thus, namely, the type of web application is abundant, substantial amounts, user often needs, in a browser by search for a long time, just can find the web application oneself really liked or need, thus have impact on the access convenience of web application.
Summary of the invention
The object of the embodiment of the present invention is the recommend method providing a kind of application, solves the problem that the access convenience of application is at present low.
The embodiment of the present invention is achieved in that a kind of recommend method of application, comprising:
Mounted first application in detection system;
Determine to apply with detect described first second applying of matching;
Be loaded into displayed page, and in described displayed page, load described second application determined.
Another object of the embodiment of the present invention is the recommendation apparatus providing a kind of application, comprising:
Detecting unit, for the first application mounted in detection system;
Determining unit, for determining to apply with detect described first second applying of matching;
Display unit, for being loaded into displayed page, and loads described second application determined in described displayed page.
In embodiments of the present invention, preference or the application that may need backstage prediction may be carried out to user according to mounted should being used in system, and the application doped is carried in corresponding displayed page, make user no longer need just can find through long search the application meeting demand in a network, substantially increase the access convenience of application.
Accompanying drawing explanation
Fig. 1 is the realization flow figure of the recommend method of the application that the embodiment of the present invention provides;
Fig. 2 is the specific implementation process flow diagram of the recommend method S101 of the application that the embodiment of the present invention provides;
Fig. 3 is the realization flow figure of the recommend method of the application that another embodiment of the present invention provides;
Fig. 4 is the specific implementation process flow diagram of the recommend method S102 of the application that the embodiment of the present invention provides;
Fig. 5 is the structured flowchart of the recommendation apparatus of the application that the embodiment of the present invention provides;
Fig. 6 is the block diagram of the part-structure of the mobile phone relevant to the terminal that the embodiment of the present invention provides.
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.
In embodiments of the present invention, preference or the application that may need backstage prediction may be carried out to user according to mounted should being used in system, and the application doped is carried in corresponding displayed page, make user no longer need just can find through long search the application meeting demand in a network, substantially increase the access convenience of application.
In ensuing embodiment, for convenience of description, example is recommended as all with web application, the recommend method of the application described in the embodiment of the present invention and device are described in detail, it is contemplated that, same principle also can apply to, among the recommend method of application of other types, repeat no longer one by one in subsequent embodiment.
In embodiments of the present invention, when dope be applied as web application time, executive agent can for the browser for running web application, user is all undertaken by browser the access of web application, further, when web application is mobile terminal web application, corresponding executive agent is operate in the browser comprised in mobile phone and the dull and stereotyped mobile terminal waiting equipment.
Fig. 1 shows the realization flow of the recommend method of the application that the embodiment of the present invention provides, and details are as follows:
In S101, mounted first application in detection system.
For the application of installing in systems in which, can reflect the hobby of user on the one hand, such as, the application relevant to tour plan or attack strategy, can reflect that this user exists interest to tourism; The actual demand of user can be reflected on the other hand, such as, beautify relevant application to picture, can reflect that this user exists the application demand of picture processing.Therefore, based on the preference of application mounted in system to user or the directive property of demand, in S101, first application mounted in system is detected, so that the web application of preference or demand the data basis of backstage prediction may be carried out as follow-up to user.
As one embodiment of the present of invention, to the detection of application mounted in system, the application programming interface (Application Programming Interface, API) that can be provided by calling system directly inquires mounted application and relevant information thereof in system.Such as, for android system, which provide PackageManager function, this function can mounted application in inquiry system, meanwhile, and can also the relevant information of mounted application in retrieval system, comprise the title of application, icon, cache size, size of data, etc.Therefore, the API provided by calling system, makes related function return corresponding Query Result, namely contains mounted application and relevant information thereof in system in this Query Result.
As another embodiment of the present invention, mounted application and relevant information thereof in system can be inquired by the software manager installed in systems in which.As shown in Figure 2, S101 is specially:
In S201, the software manager in access system.
Described software manager, can for being installed on the security classes software in system, and it provides the service such as download, management, unloading, information inquiry of software; Can for being installed on the third-party application download client in system, it provides the Resources list of application, supports downloading in this client and the service such as management, unloading, information inquiry of the application of installing simultaneously.Above-mentioned software manager all possesses the scan function to application mounted in system, can return the Query Result relevant to application software mounted in system to ISSUER.
In the present embodiment, the API that also can be provided by software manager, is conducted interviews to software manager, thus realizes the data interaction between software manager.
In S202, mounted described first application in inquiry system in described software manager.
After realizing data interaction with software manager by corresponding API, by initiating data inquiry request to software manager, making software manager return corresponding Query Result, thus having inquired mounted application and relevant information thereof in system.
Because application mounted in part system is preassembled by system, or just pre-installed by producer when equipment dispatches from the factory, in fact this part application can not reflect the preference that user is real or demand, therefore, further, as one embodiment of the present of invention, as shown in Figure 3, after S101, before S102, described method also comprises:
In S104, described first application detected is filtered, remove described first application of system prepackage.
That is, detecting in system after mounted application, this part application being filtered, gets rid of the application of wherein being pre-installed by system.To the differentiation of the application that application and the user of system prepackage install voluntarily, can be realized by the download or set-up time detecting application.Such as, for the download of application or set-up time after the equipment time of making the product, or after current system update time, then this application application of obviously installing voluntarily for user.In above-mentioned differentiation process, the update time of the equipment time of making the product or current system can be got by the configuration file of reading system, and the download of application or set-up time, can be obtained by the journal file of query software supervisory routine.
In subsequent processes, using the application that have passed through filtration as analysis foundation to predict that user may preference or have the web application of actual demand, the accuracy of prediction can be improved, the web application finally displayed is fitted the applied mental of user more.
In S102, determine to apply with detect described first described second applying of matching.
For application mounted in the system detected in S101, need to determine and apply with these web application matched, wherein, described in match, refer to the web application determined in application type, affiliated field etc. and application belong to same classification.Such as, match on affiliated interest worlds for the web application and music player of inquiring about the lyrics, again such as, web application and Web Community for delivering microblogging are applied on application type and match, etc.
In the present embodiment, in relevant application class or domain classification, carry out web application retrieval by backstage, for the every a application detected, all can for its coupling be to relevant web application.Further, in order to improve the matching precision of web application, as one embodiment of the present of invention, as shown in Figure 4, S102 is specially;
In S401, described first application detected is classified.
In the present embodiment, can according to the classification results of web application, or the class categories preset according to backstage, classified in the aspect such as application type or affiliated field that is applied in detected.Owing to applying for great majority, when it is downloaded from third-party application download client, carry out classifying process by third-party application download client, therefore, can by reviewing the download source of application, or read the Download Info carried in application Install and configure file, namely can judge to apply the classification belonged to.
As a realization example of the present invention, can classify to the application detected according to classifications such as amusement, instrument, social activity, music, efficiency, life, reference, travelling, physical culture, navigation, news, finance, photography, cuisines, trips.
In S402, according to classification results, determine that the user of each described classification uses index, described user use index to be used for representing user is to the use preference of application belonging to this classification.
In the present embodiment, according to the classification results in S401, resolve further the application belonged under each classification, thus determine that the user of each classification uses index, this user uses index can indicate user to the use preference of application belonging to this classification.
In the present embodiment, described user uses index can determine according to following at least one item:
Described first number of applications under each described classification, and all described first duration of installation sum applied under each described classification.
When user uses index to be embodied by the number of applications under each classification, particularly, need according to classification results, quantity statistics is carried out to the application detected belonged under each classification, and the number of applications counted under each classification is used index as the user of this classification, then obvious, for that classification that number of applications is maximum, its user uses index higher, because user can be more prone to select to download and install usually, it is interested or possess the application of actual user demand, therefore, the number of applications counted under each classification is used index as the user of this classification, can reflect that user is to the use preference belonging to the application that each is classified to a certain extent.
When user uses index to be embodied by the duration of the installation sum of all application under each classification, first, need to carry out installation duration statistics to each application mounted in system respectively, by reading set-up time of applying in the configuration file of application or query software supervisory routine, by determining the installation duration of each application, afterwards, the duration of the installation sum of all application under calculating each classification again, and the duration sum of installing counted under each classification is used index as the user of this classification, then obvious, for installing that the highest classification of duration sum, its user uses index higher, application that is interested for it due to user or that possess actual user demand understands Long-Time Service usually, and it is lost interest in or does not possess the application of actual user demand, usual meeting selects unloading after a period of time on probation, therefore, the duration sum of installing counted under each classification is used index as the user of this classification, can reflect that user is to the use preference belonging to the application that each is classified to a certain extent.
It is contemplated that, in working time of application in retrospective situation, also sum working time of all application under each classification can be used index as the user of this classification, also can reflect that user is to the use preference of application belonging to each classification to a certain extent.Such as, for Instant Messenger (IM) software, online total duration of user's log-in instant communication software on this equipment can be got, and using this online always duration as the working time of this Instant Messenger (IM) software.
Meanwhile, using the matching degree of preference in order to improve the web application determined and user further, can determine that the user of this classification uses index according to the duration sum of installing of all application under the number of applications under each classification and this classification simultaneously.Such as, can respectively according to number of applications and installed duration sum and sort to each classification, generate First ray corresponding to number of applications and the second sequence corresponding to duration sum has been installed, and each sequence ranking be sorted in these two sequences is added or weighting summation computing, thus obtain the final sequence of each classification, and ranking results is used index as the user of this classification.
In S403, obtain the application that is not installed in system, and use the application of classifying described in the highest top n of index to be defined as described second application by wherein belonging to described user, described N be greater than 0 integer.
Particularly, the list of application that can be downloaded or access is provided the application loading source that can provide from server, weed out the first application be wherein installed among system, to get the application be not wherein installed in system, finally, user according to each classification determined uses index, user is used the web application under the classification of top n (such as, first 3) that index is the highest to be defined as finally needing to show the web application of user.
In S103, be loaded into displayed page, and in described displayed page, load described second application determined.
Finally, after completing relevant matching process, namely can show the web application matched in the related pages of browser.Particularly, can when each loading displayed page, the web application in selecting certain matching specifically to classify is shown, in same displayed page, also can show the web application of classifying from multiple coupling simultaneously.
By the recommend method of application of setting forth in above-described embodiment, make browser can carry out backstage prediction to the use preference of user, thus when loading the recommendation page, push from trend user and meet the application that user uses preference, on the one hand, user no longer needs just can find through long search the application meeting demand in a network, substantially increase the access convenience of web application, on the other hand, meanwhile, owing to shortening the access time of application, user also no longer needs the application that just can be searched out real needs by web search repeatedly, also save network traffics cost to a certain extent.
Fig. 5 shows the structured flowchart of the recommendation apparatus of the application that the embodiment of the present invention provides, and this device is for running the recommend method of the application described in Fig. 1 to Fig. 4 embodiment of the present invention.For convenience of explanation, illustrate only part related to the present embodiment.
With reference to Fig. 5, this device comprises:
Detecting unit 51, mounted first application in detection system.
Determining unit 52, determines to apply with detect described first second applying of matching.
Display unit 53, is loaded into displayed page, and in described displayed page, add described second application determined.
Alternatively, described detecting unit 51 specifically for:
Mounted described first application in the API inquiry system provided by system.
Alternatively, described detecting unit 51 comprises:
Access subelement, for the software manager in access system;
Inquiry subelement, for described first application mounted in inquiry system in described software manager.
Alternatively, described device also comprises:
Filter element, for filtering described first application detected, removes described first application of wherein being pre-installed by system.
Alternatively, described determining unit 52 comprises:
Classification subelement, for classifying to described first application detected;
First determines subelement, for according to classification results, determines that the user of each described classification uses index, described user use index to be used for representing user is to the use preference of application belonging to this classification;
Second determines subelement, for obtaining the application in the system of not being installed on, and by wherein belong to described user use the application of classifying described in the highest top n of index be defined as described second application, described N be greater than 0 integer.
Alternatively, described user uses index to determine according to following at least one item:
The quantity of described first application under each described classification, and all described first duration of installation sum applied under each described classification.
Shown in Fig. 6 is the block diagram of the part-structure of the mobile phone relevant to the terminal that the embodiment of the present invention provides.With reference to figure 6, mobile phone comprises: the parts such as radio frequency (Radio Frequency, RF) circuit 610, storer 620, input block 630, display unit 640, sensor 650, voicefrequency circuit 660, wireless module 670, processor 680 and power supply 690.It will be understood by those skilled in the art that the handset structure shown in Fig. 6 does not form the restriction to mobile phone, the parts more more or less than diagram can be comprised, or combine some parts, or different parts are arranged.
Concrete introduction is carried out below in conjunction with Fig. 6 each component parts to mobile phone:
RF circuit 610 can be used for receiving and sending messages or in communication process, the reception of signal and transmission, especially, after being received by the downlink information of base station, process to processor 680; In addition, the up data of design are sent to base station.Usually, RF circuit includes but not limited to antenna, at least one amplifier, transceiver, coupling mechanism, low noise amplifier (Low Noise Amplifier, LNA), diplexer etc.In addition, RF circuit 610 can also by radio communication and network and other devices communicatings.Above-mentioned radio communication can use arbitrary communication standard or agreement, include but not limited to global system for mobile communications (Global System of Mobilecommunication, GSM), general packet radio service (General Packet Radio Service, GPRS), CDMA (Code Division Multiple Access, CDMA), Wideband Code Division Multiple Access (WCDMA) (Wideband Code Division Multiple Access, WCDMA), Long Term Evolution (Long TermEvolution, LTE)), Email, Short Message Service (Short Messaging Service, SMS) etc.
Storer 620 can be used for storing software program and module, and processor 680 is stored in software program and the module of storer 620 by running, thus performs various function application and the data processing of mobile phone.Storer 620 mainly can comprise storage program district and store data field, and wherein, storage program district can store operating system, application program (such as sound-playing function, image player function etc.) etc. needed at least one function; Store data field and can store the data (such as voice data, phone directory etc.) etc. created according to the use of mobile phone.In addition, storer 620 can comprise high-speed random access memory, can also comprise nonvolatile memory, such as at least one disk memory, flush memory device or other volatile solid-state parts.
Input block 630 can be used for the numeral or the character information that receive input, and generation arranges with the user of mobile phone 600 and function controls the input of relevant key signals.Particularly, input block 630 can comprise contact panel 631 and other input equipments 632.Contact panel 631, also referred to as touch-screen, user can be collected or neighbouring touch operation (such as user uses any applicable object or the operations of annex on contact panel 631 or near contact panel 631 such as finger, stylus) thereon, and drive corresponding coupling arrangement according to the formula preset.Optionally, contact panel 631 can comprise touch detecting apparatus and touch controller two parts.Wherein, touch detecting apparatus detects the touch orientation of user, and detects the signal that touch operation brings, and sends signal to touch controller; Touch controller receives touch information from touch detecting apparatus, and converts it to contact coordinate, then gives processor 680, and the order that energy receiving processor 680 is sent also is performed.In addition, the polytypes such as resistance-type, condenser type, infrared ray and surface acoustic wave can be adopted to realize contact panel 631.Except contact panel 631, input block 630 can also comprise other input equipments 632.Particularly, other input equipments 632 can include but not limited to one or more in physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse, control lever etc.
Display unit 640 can be used for the various menus showing information or the information being supplied to user and the mobile phone inputted by user.Display unit 640 can comprise display panel 641, optionally, the form such as liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED) can be adopted to configure display panel 641.Further, contact panel 631 can cover display panel 641, when contact panel 631 detects thereon or after neighbouring touch operation, send processor 680 to determine the type of touch event, on display panel 641, provide corresponding vision to export with preprocessor 880 according to the type of touch event.Although in figure 6, contact panel 631 and display panel 641 be as two independently parts to realize input and the input function of mobile phone, but in certain embodiments, can by integrated to contact panel 631 and display panel 641 and realize the input and output function of mobile phone.
Mobile phone 600 also can comprise at least one sensor 650, such as optical sensor, motion sensor and other sensors.Particularly, optical sensor can comprise ambient light sensor and proximity transducer, and wherein, ambient light sensor the light and shade of environmentally light can regulate the brightness of display panel 641, proximity transducer when mobile phone moves in one's ear, can cut out display panel 641 and/or backlight.As the one of motion sensor; accelerometer sensor can detect the size of all directions (are generally three axles) acceleration; size and the direction of gravity can be detected time static, can be used for identifying the application (such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating) of mobile phone attitude, Vibration identification correlation function (such as passometer, knock) etc.; As for mobile phone also other sensors such as configurable gyroscope, barometer, hygrometer, thermometer, infrared ray sensor, do not repeat them here.
Voicefrequency circuit 660, loudspeaker 661, microphone 662 can provide the audio interface between user and mobile phone.Voicefrequency circuit 660 can by receive voice data conversion after electric signal, be transferred to loudspeaker 661, by loudspeaker 661 be converted to voice signal export; On the other hand, the voice signal of collection is converted to electric signal by microphone 662, voice data is converted to after being received by voicefrequency circuit 660, after again voice data output processor 680 being processed, through RF circuit 610 to send to such as another mobile phone, or export voice data to storer 620 to process further.
Wireless module is based on short range wireless transmission technology, and mobile phone can help user to send and receive e-mail by wireless module 670, browse webpage and access streaming video etc., and its broadband internet wireless for user provides is accessed.Although Fig. 6 shows wireless module 670, be understandable that, it does not belong to must forming of mobile phone 600, can omit in the scope of essence not changing invention as required completely.
Processor 680 is control centers of mobile phone, utilize the various piece of various interface and the whole mobile phone of connection, software program in storer 620 and/or module is stored in by running or performing, and call the data be stored in storer 620, perform various function and the process data of mobile phone, thus integral monitoring is carried out to mobile phone.Optionally, processor 680 can comprise one or more processing unit; Preferably, processor 680 accessible site application processor and modem processor, wherein, application processor mainly processes operating system, user interface and application program etc., and modem processor mainly processes radio communication.Be understandable that, above-mentioned modem processor also can not be integrated in processor 680.
Mobile phone 600 also comprises the power supply 690(such as battery of powering to all parts), preferably, power supply can be connected with processor 680 logic by power-supply management system, thus realizes the functions such as management charging, electric discharge and power managed by power-supply management system.
Although not shown, mobile phone 600 can also comprise camera, bluetooth module etc., does not repeat them here.
In embodiments of the present invention, the processor 680 included by this terminal also has following functions: the recommend method of application, comprising:
Mounted first application in detection system;
Determine to apply with detect described first second applying of matching;
Be loaded into displayed page, and in described displayed page, load described second application determined.
Further, in described detection system, mounted first application comprises:
Mounted described first application in the application programming interface API inquiry system provided by system.
Further, in described detection system, mounted first application comprises:
Software manager in access system;
Mounted described first application in inquiry system in described software manager.
Further, in described detection system after mounted first application, described determine to apply with detect described first match second apply before, described method also comprises:
Described first application detected is filtered, removes described first application of system prepackage.
Further, described determine to apply with detect described first match second apply and comprise:
Described first application detected is classified;
According to classification results, determine that the user of each described classification uses index, described user use index to be used for representing user is to the use preference of application belonging to this classification;
Obtain the application that is not installed in system, and use the application of classifying described in the highest top n of index to be defined as described second application by wherein belonging to described user, described N be greater than 0 integer.
Further, described user uses index to determine according to following at least one item:
The quantity of described first application under each described classification, and all described first duration of installation sum applied under each described classification.
In embodiments of the present invention, preference or the application that may need backstage prediction may be carried out to user according to mounted should being used in system, and the application doped is carried in corresponding displayed page, make user no longer need just can find through long search the application meeting demand in a network, substantially increase the access convenience of application.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (12)
1. a recommend method for application, is characterized in that, comprising:
Mounted first application in detection system;
Determine to apply with detect described first second applying of matching;
Be loaded into displayed page, and in described displayed page, load described second application determined.
2. the method for claim 1, is characterized in that, in described detection system, mounted first application comprises:
Mounted described first application in the application programming interface API inquiry system provided by system.
3. the method for claim 1, is characterized in that, in described detection system, mounted first application comprises:
Software manager in access system;
Mounted described first application in inquiry system in described software manager.
4. as claimed in claim 2 or claim 3 method, is characterized in that, in described detection system after mounted first application, described determine to apply with detect described first match second apply before, described method also comprises:
Described first application detected is filtered, removes described first application of system prepackage.
5. the method for claim 1, is characterized in that, described determine to apply with detect described first match second apply and comprise:
Described first application detected is classified;
According to classification results, determine that the user of each described classification uses index, described user use index to be used for representing user is to the use preference of application belonging to this classification;
Obtain the application that is not installed in system, and use the application of classifying described in the highest top n of index to be defined as described second application by wherein belonging to described user, described N be greater than 0 integer.
6. method as claimed in claim 5, it is characterized in that, described user uses index to determine according to following at least one item:
The quantity of described first application under each described classification, and all described first duration of installation sum applied under each described classification.
7. a recommendation apparatus for application, is characterized in that, comprising:
Detecting unit, for the first application mounted in detection system;
Determining unit, for determining to apply with detect described first second applying of matching;
Display unit, for being loaded into displayed page, and loads described second application determined in described displayed page.
8. device as claimed in claim 7, is characterized in that, described detecting unit specifically for:
Mounted described first application in the application programming interface API inquiry system provided by system.
9. device as claimed in claim 7, it is characterized in that, described detecting unit comprises:
Access subelement, for the software manager in access system;
Inquiry subelement, for described first application mounted in inquiry system in described software manager.
10. device as claimed in claim 8 or 9, it is characterized in that, described device also comprises:
Filter element, for filtering described first application detected, removes described first application of wherein being pre-installed by system.
11. devices as claimed in claim 7, it is characterized in that, described determining unit comprises:
Classification subelement, for classifying to described first application detected;
First determines subelement, for according to classification results, determines that the user of each described classification uses index, described user use index to be used for representing user is to the use preference of application belonging to this classification;
Second determines subelement, for obtaining the application in the system of not being installed on, and by wherein belong to described user use the application of classifying described in the highest top n of index be defined as described second application, described N be greater than 0 integer.
12. devices as claimed in claim 11, is characterized in that, described user uses index to determine according to following at least one item:
The quantity of described first application under each described classification, and all described first duration of installation sum applied under each described classification.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410065320.5A CN104866505B (en) | 2014-02-25 | 2014-02-25 | Application recommendation method and device |
| PCT/CN2015/073017 WO2015127870A1 (en) | 2014-02-25 | 2015-02-13 | Method and apparatus for recommending application |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410065320.5A CN104866505B (en) | 2014-02-25 | 2014-02-25 | Application recommendation method and device |
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| CN104866505A true CN104866505A (en) | 2015-08-26 |
| CN104866505B CN104866505B (en) | 2021-04-06 |
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| CN201410065320.5A Active CN104866505B (en) | 2014-02-25 | 2014-02-25 | Application recommendation method and device |
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| WO (1) | WO2015127870A1 (en) |
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| CN105512241A (en) * | 2015-11-30 | 2016-04-20 | 小米科技有限责任公司 | Theme update method and device |
| CN105975309A (en) * | 2016-05-05 | 2016-09-28 | 广东小天才科技有限公司 | Application updating method and apparatus for mobile terminal |
| CN105975540A (en) * | 2016-04-29 | 2016-09-28 | 北京小米移动软件有限公司 | Information display method and device |
| CN106529158A (en) * | 2016-10-27 | 2017-03-22 | 北京小米移动软件有限公司 | Diet information recommendation method and apparatus |
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| CN107832426A (en) * | 2017-11-13 | 2018-03-23 | 上海交通大学 | A kind of APP recommendation method and system based on using sequence context |
| CN115665704A (en) * | 2022-11-21 | 2023-01-31 | 广州天辰信息科技有限公司 | Activity privacy safety recommendation method based on big data |
| CN116389444A (en) * | 2023-04-10 | 2023-07-04 | 北京智享嘉网络信息技术有限公司 | Traffic scheduling method and system based on user web application |
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| WO2015127870A1 (en) | 2015-09-03 |
| CN104866505B (en) | 2021-04-06 |
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