CN105677392A - Method and apparatus for recommending applications - Google Patents

Method and apparatus for recommending applications Download PDF

Info

Publication number
CN105677392A
CN105677392A CN201511020674.9A CN201511020674A CN105677392A CN 105677392 A CN105677392 A CN 105677392A CN 201511020674 A CN201511020674 A CN 201511020674A CN 105677392 A CN105677392 A CN 105677392A
Authority
CN
China
Prior art keywords
application program
application
user
identification information
list image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201511020674.9A
Other languages
Chinese (zh)
Inventor
杨冬东
顾凌华
冯超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Xiaomi Technology Co Ltd
Xiaomi Inc
Original Assignee
Xiaomi Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xiaomi Inc filed Critical Xiaomi Inc
Priority to CN201511020674.9A priority Critical patent/CN105677392A/en
Publication of CN105677392A publication Critical patent/CN105677392A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00Arrangements for software engineering
    • G06F8/60Software deployment
    • G06F8/61Installation

Abstract

The invention relates to a method and an apparatus for recommending applications and relates to the technical field of mobile terminals. The method includes: acquiring an application list image, wherein the application list image includes application identification information; identifying the application list image so as to extract the application identification information from the application list image; and based on the application identification information, generating a recommendation application list and providing the recommendation application list to a user, wherein the recommendation application list includes applications corresponding to the application identification information. The method and apparatus of the invention can identify the application list image to identify applications, generate the recommendation application to users, facilitate users' selection required applications for bulk mounting, and improve user experience.

Description

The recommendation method and apparatus of application program
Technical field
The present invention relates to technical field of mobile terminals, particularly relate to the recommendation method and apparatus of a kind of application program.
Background technology
Along with popularizing of mobile terminal (such as smart mobile phone etc.), increasing application program (such as body-building application program, shopping application program etc.) arise at the historic moment, user can according to the hobby of oneself and need to select corresponding application program to be arranged on the mobile terminal of oneself to facilitate use, now the mobile terminal of a lot of users is provided with substantial amounts of application program, and much user also not only has a mobile terminal, when user needs to be arranged on another application program the multiple application programs on oneself mobile terminal, or when wishing to be arranged on the mobile terminal of oneself application program on the mobile terminal of other users, need on the mobile terminal of oneself, download it in turn and think application program to be mounted, it is inconvenient for.
In correlation technique, the mounted application information in the first transfer terminal can be obtained, and store that information in the user identity identification of the first mobile terminal, for the second mobile terminal when the above-mentioned subscriber identification card of insertion being detected, according to the information of the application program of storage in this identification card, the first existing application program of mobile terminal is installed.
Summary of the invention
For overcoming Problems existing in correlation technique, disclosure embodiment provides the recommendation method and apparatus of a kind of application program. Described technical scheme is as follows:
First aspect according to disclosure embodiment, it is provided that a kind of recommendation method of application program, the method includes:
Obtaining the application list image, wherein, described the application list image includes application program identification information;
Described the application list image is identified, to extract the application program identification information among described the application list image; And
Generating exemplary application program listing according to the described application program identification information extracted, and provide to user, wherein, described exemplary application program listing includes the application program corresponding with described application program identification information.
Method as above, also includes:
Receive the application program that user selects in described exemplary application program listing;
Obtain the installation procedure that the application program of described user selection is corresponding, and install.
Method as above, described application program identification information is the ID of application program, described is identified including to described the application list image:
Described the application list image is carried out Text region to extract the word in described the application list image;
Screen to generate described application program identification information to the word in described the application list image.
Method as above, described application program identification information is the icon of described application program, described is identified including to described the application list image:
Described the application list image is carried out image recognition to extract the icon in described the application list image;
Described icon and preset icon template are compared;
If described icon is consistent with preset icon template, then using described icon as described application program identification information.
Method as above, the described described application program identification information according to extraction generates exemplary application program listing and includes:
Obtain the OS Type information of the mobile terminal of described user;
The application program that the OS Type information of the mobile terminal according to described user is corresponding with described application program identification information search, and generate described exemplary application program listing according to the application program searched.
Method as above, also includes:
Obtain personal like's information of described user;
Like information that the described application program searched is ranked up according to described individual;
Exemplary application program listing is generated according to ranking results.
Method as above, also includes:
The temperature information of the application program searched described in acquisition;
According to described temperature information, the described application program searched is ranked up;
Exemplary application program listing is generated according to ranking results.
Method as above, also includes:
The score information of the application program searched described in acquisition;
According to institute's scoring information, the described application program searched is ranked up;
Exemplary application program listing is generated according to ranking results.
Method as above, also includes:
After the application program that described reception user selects in described exemplary application program listing, also include:
Extract the set up applications in the mobile terminal of described user;
Judge that whether the type of the application program that described user selects is consistent with the type of described set up applications;
If it is determined that the type of the application program of described user selection is consistent with the type of described set up applications, then described user is pointed out.
Method as above, also includes:
Installation procedure corresponding to application program that select the described user of described acquisition after installing, also includes:
Point out described user that the installation file of mounted application program is deleted.
Second aspect according to disclosure embodiment, it is provided that the recommendation apparatus of a kind of application program, including:
Image collection module, is used for obtaining the application list image, and wherein, described the application list image includes application program identification information;
Identification module, is identified for described the application list image that described image collection module is obtained, to extract the application program identification information among described the application list image; And
Generation module, the described application program identification information for extracting according to described identification module generates exemplary application program listing, and provides to user, and wherein, described exemplary application program listing includes the application program corresponding with described application program identification information.
Device as above, also includes:
Receiver module, for receiving the application program that user selects in described exemplary application program listing;
Module is installed, installation procedure corresponding to application program that the described user received for obtaining described receiver module selects, and install.
Device as above, described application program identification information is the ID of application program, and described identification module includes:
Word Input submodule, for carrying out Text region to extract the word in described the application list image to described the application list image;
First generates submodule, for screening to generate described application program identification information to the word in described the application list image of described Word Input submodule extraction.
Device as above, described application program identification information is the icon of described application program, and described identification module includes:
Icon extracts submodule, for described the application list image is carried out image recognition to extract the icon in described the application list image;
Comparer module, the described icon extracted for described icon extracts submodule is compared with preset icon template;
Second generates submodule, for when described comparer module judges that described icon is consistent with preset icon template, then using described icon as described application program identification information.
Device as above, described generation module includes:
First obtains submodule, for obtaining the OS Type information of the mobile terminal of described user;
Search submodule, for the application program that the OS Type information of the mobile terminal of the described user obtained according to the first acquisition submodule is corresponding with described application program identification information search;
Generate submodule, generate described exemplary application program listing for the application program arrived according to described search sub-block searches.
Device as above, described generation module also includes:
Second obtains submodule, for obtaining personal like's information of described user;
First sorting sub-module, the described individual for obtaining submodule acquisition according to described second likes information that the described application program searched is ranked up, and wherein, described generation submodule generates exemplary application program listing according to ranking results.
Device as above, described generation module also includes:
3rd obtains submodule, is used for the temperature information of the application program searched described in obtaining;
Second sorting sub-module, the described application program searched is ranked up by the described temperature information for obtaining submodule acquisition according to the described 3rd, and wherein, described generation submodule generates exemplary application program listing according to ranking results.
Device as above, described generation module also includes:
4th obtains submodule, is used for the score information of the application program searched described in obtaining;
3rd sorting sub-module, the described application program searched is ranked up by the institute's scoring information for obtaining submodule acquisition according to the described 4th, and wherein, described generation submodule generates exemplary application program listing according to ranking results.
Device as above, also includes:
Extraction module, is used for the set up applications extracting in the mobile terminal of described user;
Judge module, whether the type for judging described set up applications that the type of application program that described user selects extracts with described extraction module is consistent;
First reminding module, when type for judging application program that described user selects at described judge module is consistent with the type of described set up applications, points out described user.
Device as above, also includes:
Second reminding module, for, after obtaining installation procedure corresponding to application program that described user selects and installing, pointing out described user that the installation file of mounted application program is deleted.
The recommendation apparatus of the application program described in the third aspect of disclosure embodiment, it is provided that the recommendation apparatus of a kind of application program, including:
Processor;
For storing the memorizer of processor executable;
Wherein, described processor is configured to:
Obtaining the application list image, wherein, described the application list image includes application program identification information;
Described the application list image is identified, to extract the application program identification information among described the application list image; And
Generating exemplary application program listing according to the described application program identification information extracted, and provide to user, wherein, described exemplary application program listing includes the application program corresponding with described application program identification information.
The technical scheme that disclosure embodiment provides can include following beneficial effect:
Can first obtain the list image of the application program including application program identification information, and this application list image is identified, to extract the identification information of the application program in the application list image, and the identification information according to the application program extracted, generate and include the application list of the application program corresponding with application program identification information and recommend user, achieve and be identified identifying this application program by application programs list image, and generate exemplary application program listing to user, user is facilitated to select the application program needed to carry out the installation of batch, improve the efficiency of user's set up applications on mobile terminals, improve Consumer's Experience.
It should be appreciated that it is only exemplary and explanatory that above general description and details hereinafter describe, the disclosure can not be limited.
Accompanying drawing explanation
Accompanying drawing herein is merged in description and constitutes the part of this specification, it is shown that meets and embodiment of the disclosure, and is configured to explain the principle of the disclosure together with description.
Fig. 1 is the flow chart of the recommendation method of a kind of application program according to an exemplary embodiment;
Fig. 2 is the flow chart of the method that a kind of application programs list image according to an exemplary embodiment is identified;
Fig. 3 is the flow chart of the method that a kind of application programs list image according to another exemplary embodiment is identified;
Fig. 4 is the flow chart of the recommendation method of a kind of application program according to another exemplary embodiment;
Fig. 5 is the flow chart of the recommendation method of a kind of application program according to another exemplary embodiment;
Fig. 6 is the block diagram of the recommendation apparatus of a kind of application program shown in an exemplary embodiment;
Fig. 7 is the block diagram of the recommendation apparatus of a kind of application program shown in another exemplary embodiment;
Fig. 8 is the block diagram of the recommendation apparatus of a kind of application program shown in another exemplary embodiment;
Fig. 9 is the block diagram of the recommendation apparatus of a kind of application program shown in another exemplary embodiment;
Figure 10 is the block diagram of the recommendation apparatus of a kind of application program shown in another exemplary embodiment;
Figure 11 is the block diagram of the recommendation apparatus of a kind of application program shown in another exemplary embodiment;
Figure 12 is the block diagram of the recommendation apparatus of a kind of application program shown in another exemplary embodiment;
Figure 13 is the block diagram of the recommendation apparatus of a kind of application program shown in another exemplary embodiment;
Figure 14 is the block diagram of the recommendation apparatus of a kind of application program shown in another exemplary embodiment;
Figure 15 is the block diagram of the recommendation apparatus of a kind of application program shown in another exemplary embodiment;
Figure 16 is the block diagram of a kind of terminal 1000 according to an exemplary embodiment.
By above-mentioned accompanying drawing, it has been shown that the embodiment that the disclosure is clear and definite, will there is more detailed description hereinafter. These accompanying drawings and word describe the scope being not intended to be limited disclosure design by any mode, but are the concept that those skilled in the art illustrate the disclosure by reference specific embodiment.
Detailed description of the invention
Here in detail exemplary embodiment being illustrated, its example representation is in the accompanying drawings. When as explained below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represents same or analogous key element. Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the disclosure. On the contrary, they only with in appended claims describe in detail, the disclosure some in the example of consistent apparatus and method.
Fig. 1 is the flow chart of the recommendation method of a kind of application program according to an exemplary embodiment, and the present embodiment is configured to apply in the recommendation apparatus of program with the recommendation method of application program and illustrates. As shown in Figure 1. The recommendation method of this application program can include following step:
In step S101, obtaining the application list image, wherein, the application list image includes application program identification information.
As a kind of example, the image with the interface of application program on the mobile terminal that the photographic head of mobile terminal shoots can be adopted to obtain the list image of this application program.
As another kind of example, the image of the list of application program can also obtain by other means, the list image of such as this application program can be other users be sent to the image comprising the application list of this user etc.
It is appreciated that above-mentioned the application list image can be comprise multiple application program image target display interface figure on mobile terminal, namely comprises the icon of multiple application programs of the upper arrangement mode arrangement according to mobile terminal.
As a kind of example, in order to further exactly the application program in application programs list be identified, the application list includes the identification information of application program, wherein, the identification information of application program can be the ID (Identity of application program, identity), icon etc., can the information of unique identification application, namely can uniquely identify application program by identification information.
It should be noted that, mobile terminal in disclosure embodiment can be the hardware device that mobile phone, panel computer, personal digital assistant, Wearable etc. have various operating system, and this Wearable can be Intelligent bracelet, intelligent watch, intelligent glasses etc. Wherein, application program refers to the software that can realize certain function, for instance, shopping application program, reading application program etc.
In step s 102, application programs list image is identified, to extract the application program identification information among the application list image.
As a kind of example, the identification information of application program can be ID, Fig. 2 of application program is the flow chart of the method that a kind of application programs list image according to an exemplary embodiment is identified, and on basis as shown in Figure 1, the method comprises the steps that
In step s 201, application programs list image carries out Text region to extract the word in the application list image.
As a kind of example, carry out Text region by application programs list image, to identify the Word messages such as Chinese that this application program comprises, English, numeral, and then the classification etc. of application program can be identified according to this Word message.
As another kind of example, the word that some application program can be shown in application program image by it uniquely identifies, with the reading application program of word A in the image of such as certain application program, and the application program with this word A only has this reading application program, then this reading application program can be identified by word A is identified. It is to say, in order to identify the application program in the application list image, can be realized by the word in extraction the application list image.
In step S202, the word in application programs list image carries out screening to generate application program identification information.
As a kind of example, can according to certain rule, the word in application programs list image screens, and generates the identification information of application program according to the word after screening. Illustrate, word on some application program image simply plays the effects such as modification, such as identify that the Word message on certain shopping application program image is " let us is purchased together ", then think that only " purchasing " is the Word message useful to identifying this application program, so screening by other word, and the word identification information as application program " will be purchased ".
As a kind of example, application program identification information can be the icon of application program, Fig. 3 is the flow chart of the method that a kind of application programs list image according to another exemplary embodiment is identified, and on basis as shown in Figure 1, the method comprises the steps that
In step S301, application programs list image carries out image recognition to extract the icon in the application list image.
It is appreciated that, there is difference in the aspects such as the size of the icon of different application programs, shape, therefore can be identified according to the icon application programs of application program, for example, the icon of application A and the icon of application program B are different, can be for A application program or B application program by the icon-based programming application program of application program. Get final product the image that application programs list is identified extracting in the application list.
In step s 302, icon and preset icon template are compared.
As a kind of example, storage has icon and the icon template of substantial amounts of application program, this icon template storage has the information such as the shape of application program, size, so can by comparing further the application program representated by icon to be identified by icon and preset icon template.
In step S303, if icon is consistent with preset icon template, then using icon as application program identification information.
As a kind of example, if icon is consistent with preset icon template, then it is assumed that the application program that icon that this icon is in this icon masterplate is corresponding, can using this icon identification information as application program.
In step s 103, generate exemplary application program listing according to the application program identification information extracted, and provide to user, wherein, it is recommended that the application list includes the application program corresponding with application program identification information.
As a kind of example, can first obtain the OS Type information of the mobile terminal of user, the system such as obtaining mobile terminal is Android operation system or OS operating system etc., further, due to the running environment in order to adapt to different operating system, same application is different in different operating system, so according to the OS Type information of the mobile terminal of the user application program corresponding with application program identification information search, and generate exemplary application program listing according to the application program searched.
As another kind of example, first personal like's information of user can be obtained, the data such as type or its type of webpage often browsed as by the application program to user's installation on mobile terminals are analyzed, obtain personal like's information of user, such as, if the application program got on the mobile terminal of user belongs to the application program of body-building class more, then personal like's information of user can be hobby body-building, it should be noted that the hobby in the individual signal message of the user obtained can be multiple. Secondly, according to personal like's information of user, the application program searched being ranked up, personal like's information of the user such as got is hobby body-building, then can be ranked up according to the size with body-building degree of association by the application program that search.
As another kind of example, first can obtain the temperature information of the application program searched, the temperature information of application program can be obtained according to the time etc. of the number of the download of current application program, the issue of application program. Secondly, according to temperature information, the application program searched is ranked up, such as arranges according to temperature application programs from high to low. Afterwards, exemplary application program listing is generated according to rank results.
As another kind of example, first the score information of the application program searched is obtained, relevant download platform, such as obtain the score information of the application program searched, according to score information, the application program searched is ranked up, and generate exemplary application program listing according to rank results.
As a kind of example, can showing on the screen of the mobile terminal in modes such as lists by this application program, to show exemplary application program listing to user, wherein, this application list includes the application program corresponding with application program identification information.
In sum, the recommendation method of the application program that disclosure embodiment provides, can first obtain the list image of the application program including application program identification information, and this application list image is identified, to extract the identification information of the application program in the application list image, and the identification information according to the application program extracted, generate and include the exemplary application program listing of the application program corresponding with application program identification information and recommend user, achieve and be identified identifying this application program by application programs list image, and generate exemplary application program listing to user, user is facilitated to select the application program needed to carry out the installation of batch, improve the efficiency of user's set up applications on mobile terminals, improve Consumer's Experience.
Fig. 4 is the flow chart of the recommendation method of a kind of application program according to another exemplary embodiment. Namely, on basis as shown in Figure 1, the recommendation method of this application program comprises the steps that
In step S401, obtaining the application list image, wherein, the application list image includes application program identification information.
In step S402, application programs list image is identified, to extract the application program identification information among the application list image.
In step S403, generate exemplary application program listing according to the application program identification information extracted, and provide to user, wherein, it is recommended that the application list includes the application program corresponding with application program identification information.
In step s 404, the application program that user selects in exemplary application program listing is received.
As a kind of example, user can pass through to click, the application program in exemplary application program listing is selected by the operation such as double-click, it should be noted that, also can take other modes that the application program in exemplary application program listing is selected, such as, user can cross the phonetic entry speech data with keyword corresponding to the application program in exemplary application program listing, and the application program in exemplary application program listing is selected.
It should be noted that user can once select the multiple application programs in exemplary application program, thus further multiple application programs can be downloaded installation.
As a kind of example, as it is shown in figure 5, on basis as shown in Figure 4, after getting the application program that user selects in exemplary application program listing, may also include that
In step S501, extract the set up applications in the mobile terminal of user.
As a kind of example, before the application program in recommendation list is downloaded, extract the information of the application program installed on the mobile terminal of user.
In step S502, it is judged that whether the type of the application program that user selects is consistent with the type of set up applications.
As a kind of example, judge that whether the application program in the exemplary application program listing that user selects is consistent with the type of mounted application program, such as, if the application program selected belongs to browser application type, and mobile terminal is also provided with browser class application program, then judge that the type of the application program that user selects is consistent with the type of set up applications.
In step S503, if it is determined that the type of the application program of user's selection is consistent with the type of set up applications, then user is pointed out.
As a kind of example, in order to save the stored memory of user, if it is determined that the type of the application program of user's selection is consistent with the type of mounted application program, then on the mobile terminal of user, user can be pointed out in the mode such as voice or text, such as can send prompting frame " you select application to be installed program D to have same type of application program E to exist; determine and to continue to install " on the mobile terminal of user, and then user can by determining that to the operation of this prompting frame application programs E is to continue with installation and is also to give up.
It should be noted that if the application program of user's selection is an application program with set up applications, the type being also considered as both application programs is consistent, thus user is pointed out.
In step S405, obtain the installation procedure that the application program of user's selection is corresponding, and install.
As a kind of example, after the application program in the selected exemplary application program listing of user, the application program that user selectes can be downloaded by batch from official website or on the relevant software downloading application program, and install.
It should be noted that, as a kind of example, when after the application program got in the exemplary application program listing that user selects installation, in order to be not take up the internal memory of mobile terminal, can by reminding user that the installation file of mounted application program is deleted in the way of text or in modes such as speech play on the screen of the mobile terminal.
As another kind of example, it is possible to be set to, after the application program that mobile terminal installs in the exemplary application program listing that user selects, automatically the installation file of mounted application program be deleted.
In sum, the recommendation method of the application program that the disclosure provides, the type of the application program selected in exemplary application program listing for user is analyzed, when the type of the application program that user selects is consistent with the type of mounted application program, then point out to user, user decides whether to continue to install this application program according to this prompting, and after installing the application program of selection, user is pointed out further the installation file deleting set up applications, thus saving the memory space of mobile terminal, improve Consumer's Experience further.
The recommendation apparatus embodiment of disclosure application program is described below in detail, it is possible to for the recommendation embodiment of the method for performing disclosure application program. For details not disclosed in the recommendation apparatus embodiment of disclosure application program, refer to the recommendation embodiment of the method for disclosure application program.
Fig. 6 is the block diagram of the recommendation apparatus of a kind of application program according to an exemplary embodiment, and as shown in Figure 6, the recommendation apparatus of this application program comprises the steps that Image Acquisition submodule 610, identification module 620 and generation module 630.
Image Acquisition submodule 610, is configured to obtain the application list image, and wherein, the application list image includes application program identification information.
As a kind of example, Image Acquisition submodule 610 can adopt the image with the interface of application program on the mobile terminal that the photographic head of mobile terminal shoots to obtain the list image of this application program.
As another kind of example, the image of list of the application program that Image Acquisition submodule 610 obtains can also obtain by other means, the list image of such as this application program can be other users be sent to the image comprising the application list of this user etc.
As a kind of example, in order to further exactly the application program in application programs list be identified, the application list includes the identification information of application program, wherein, the identification information of application program can be the ID of application program, icon etc., the information of the unique identification application of energy, namely can uniquely identify application program by identification information.
Identification module 620, the application list image being configured to image collection module 610 is obtained is identified, to extract the application program identification information among the application list image.
As a kind of example, the identification information of application program can be ID, Fig. 7 of application program is the block diagram of the device that a kind of application programs list image according to an exemplary embodiment is identified, and on basis as shown in Figure 6, identification module 620 comprises the steps that
Word Input submodule 621, is configured to application programs list image and carries out Text region to extract the word in the application list image.
As a kind of example, Word Input submodule 621 carries out Text region by application programs list image, to identify the Word messages such as Chinese that this application program comprises, English, numeral, and then the classification etc. of application program can be identified according to this Word message.
As another kind of example, the word that some application program can be shown in application program image by it uniquely identifies, such as Word Input submodule 621 extracts the reading application program in the image of certain application program with word A, and the application program with this word A only has this reading application program, then Word Input submodule 621 can identify this reading application program by word A is identified. It is to say, in order to identify the application program in the application list image, can be realized by the word that Word Input submodule 621 extracts in the application list image.
First generates submodule 622, and the word being configured in the application list image that Word Input submodule 621 is extracted screens to generate application program identification information.
As a kind of example, can according to certain rule, the first word generated in submodule 622 application programs list image screens, and generates the identification information of application program according to the word after screening. Illustrate, word on some application program image simply plays the effects such as modification, such as identify that the Word message on certain shopping application program image is " let us is purchased together ", then the first generation submodule 622 thinks that only " purchasing " is the Word message useful to identifying this application program, so screening by other word, and the word identification information as application program " will be purchased ".
As a kind of example, application program identification information can be the icon of application program, Fig. 8 is the block diagram of the device that a kind of application programs list image according to another exemplary embodiment is identified, and on basis as shown in Figure 6, identification module 620 comprises the steps that
Icon extracts submodule 623, is configured to application programs list image and carries out image recognition to extract the icon in the application list image.
Comparer module 624, is configured to compare icon and preset icon template.
As a kind of example, storage has icon and the icon template of substantial amounts of application program, this icon template storage has the information such as the shape of application program, size, so comparer module 624 can by comparing further the application program representated by icon to be identified by icon and preset icon template.
Second generates submodule 625 can be used for when comparer module 624 judges that icon is consistent with preset icon template, then using icon as application program identification information.
As a kind of example, if submodule 624 is judged that icon is consistent with preset icon template, then it is assumed that the application program that icon that this icon is in this icon masterplate is corresponding, namely the second generation submodule 625 can using this icon identification information as application program.
Generation module 630, is configured to generate exemplary application program listing according to the application program identification information that identification module 620 extracts, and provides to user, wherein, it is recommended that the application list includes the application program corresponding with application program identification information.
As a kind of example, Fig. 9 is the block diagram of the device that a kind of application programs list image according to an exemplary embodiment is identified, and on basis as shown in Figure 6, generation module 630 comprises the steps that
First obtains submodule 631, is configured to obtain the OS Type information of the mobile terminal of user.
For example, first obtain submodule 631 and can obtain the system of mobile terminal and be belonging to Android operation system or OS operating system etc.
Search submodule 632, is configured to the application program that the OS Type information according to the first mobile terminal obtaining the user that submodule 631 obtains is corresponding with application program identification information search.
It is appreciated that, due to the running environment in order to adapt to different operating system, same application is different in different operating system, so search submodule 632 can according to the OS Type information of the mobile terminal of the user application program corresponding with application program identification information search.
Generate submodule 633, be configured to generate exemplary application program listing according to the application program searched.
As another kind of example, Figure 10 is the block diagram of the recommendation apparatus of a kind of application program according to an exemplary embodiment, and on basis as shown in Figure 9, this generation module 630 comprises the steps that
Second obtains submodule 634, is configured to obtain personal like's information of user.
As a kind of example, second obtains submodule 634 by the data such as the type of the application program of user's installation on mobile terminals or its type of webpage often browsed are analyzed, obtain personal like's information of user, such as, if the second acquisition submodule 634 gets the application program on the mobile terminal of user and belongs to the application program of body-building class more, then personal like's information of user can be hobby body-building, it should be noted that the hobby in the individual signal message of the user obtained can be multiple.
First sorting sub-module 635, is configured to like information that the application program searched is ranked up according to the second individual obtaining submodule 634 acquisition, wherein, generates submodule 633 and generate exemplary application program listing according to ranking results.
Illustrating, the second personal like's information obtaining the user that submodule 634 gets is hobby body-building, then the application program searched can be ranked up by the first sorting sub-module 635 according to the size with body-building degree of association.
As another kind of example, Figure 11 is the block diagram of the recommendation apparatus of a kind of application program according to an exemplary embodiment, and on basis as shown in Figure 9, this generation module 630 comprises the steps that
3rd obtains submodule 636, is configured to obtain the temperature information of the application program searched.
As a kind of example, the 3rd obtains submodule 636 can obtain the temperature information of application program according to the time etc. of the number of the download of current application program, the issue of application program.
Second sorting sub-module 637, is configured to according to the 3rd temperature information obtaining submodule 636 acquisition, the application program searched is ranked up, wherein, generates submodule 633 and generate exemplary application program listing according to ranking results.
As another kind of example, Figure 12 is the block diagram of the recommendation apparatus of a kind of application program according to an exemplary embodiment, and on basis as shown in Figure 9, this generation module 630 may also include that
4th obtains submodule 638, is configured to obtain the temperature information of the application program searched.
As a kind of example, the 4th obtains submodule 638 can obtain the temperature information of application program according to the time etc. of the number of the download of current application program, the issue of application program.
3rd sorting sub-module 639, is configured to according to the 4th score information obtaining submodule 638 acquisition, the application program searched is ranked up, wherein, generates submodule 633 and generate exemplary application program listing according to ranking results.
Illustrating, the application program searched can be ranked up by the 3rd sorting sub-module 639 according to temperature information, such as arranges according to temperature application programs from high to low.
In sum, the recommendation apparatus of the application program that disclosure embodiment provides, can first obtain the list image of the application program including application program identification information, and this application list image is identified, to extract the identification information of the application program in the application list image, and the identification information according to the application program extracted, generate and include the exemplary application program listing of the application program corresponding with application program identification information and recommend user, achieve and be identified identifying this application program by application programs list image, and generate exemplary application program listing to user, user is facilitated to select the application program needed to carry out the installation of batch, improve the efficiency of user's set up applications on mobile terminals, improve Consumer's Experience.
Figure 13 is the block diagram of the recommendation apparatus of a kind of application program according to another exemplary embodiment. On basis as shown in Figure 6, the recommendation apparatus of this application program also includes:
Receiver module 640, is configured to receive the application program that user selects in exemplary application program listing. As a kind of example, receiver module 640 can receive user by clicking, the operation application program to selecting in exemplary application program listing such as double-click, it should be noted that, also can take other modes that the application program in exemplary application program listing is selected, such as, user can cross the phonetic entry speech data with keyword corresponding to the application program in exemplary application program listing, and the application program in exemplary application program listing is selected.
Module 650 is installed, is configured to the installation procedure that the application program of user's selection that acquisition receiver module 640 receives is corresponding, and installs.
As a kind of example, Figure 14 is the block diagram of the recommendation apparatus of a kind of application program according to another exemplary embodiment. On basis as shown in fig. 13 that, the recommendation apparatus of application program also includes:
Extraction module 660, is configured to the set up applications extracting in the mobile terminal of user.
As a kind of example, before the application program in recommendation list is downloaded installation by installation module 650, extract the information of the application program installed on the mobile terminal of user.
Judge module 670, is configured to judge that whether the type of the set up applications that the type of the application program that user selects extracts with extraction module 660 is consistent.
As a kind of example, judge module 670 judges that whether the application program in the exemplary application program listing that user selects is consistent with the type of mounted application program, such as, if the application program selected belongs to browser application type, and mobile terminal is also provided with browser class application program, it is judged that module 670 then judges that the type of the application program that user selects is consistent with the type of set up applications.
First reminding module 680, is configured to, when the type that judge module 670 judges application program that user selects is consistent with the type of set up applications, user be pointed out.
As a kind of example, in order to save the stored memory of user, if it is determined that the type that module 670 judges the application program that user selects is consistent with the type of mounted application program, then the first reminding module 680 can point out user in the mode such as voice or text on the mobile terminal of user, such as the first reminding module 680 can send prompting frame on the mobile terminal of user, and " you select application to be installed program D to have same type of application program E to exist, determine and to continue to install ", and then user can by determining that to the operation of this prompting frame application programs E is to continue with installation and is also to give up.
Wherein, module 650 is installed and is configured to obtain installation procedure corresponding to application program that user selects, and install.
As a kind of example, after the application program in the selected exemplary application program listing of user, module 650 is installed and can download the application program that user selectes by batch from official website or on the relevant software downloading application program, and install.
It should be noted that, as a kind of example, when after the application program got in the exemplary application program listing that user selects installation, in order to be not take up the internal memory of mobile terminal, can by reminding user that the installation file of mounted application program is deleted in the way of text or in modes such as speech play on the screen of the mobile terminal.
As shown in figure 15, on basis as shown in fig. 13 that, the recommendation apparatus of application program may also include that
Second reminding module 690, is configured to after obtaining installation procedure corresponding to application program that user selects and installing, and the installation file of mounted application program is deleted by prompting user.
In sum, the recommendation apparatus of the application program that the disclosure provides, the type of the application program selected in exemplary application program listing for user is analyzed, when the type of the application program that user selects is consistent with the type of mounted application program, then point out to user, user decides whether to continue to install this application program according to this prompting, and after installing the application program of selection, user is pointed out further the installation file deleting set up applications, thus saving the memory space of mobile terminal, improve Consumer's Experience further.
The recommendation apparatus embodiment of disclosure application program is described below in detail, it is possible to for the recommendation embodiment of the method for performing disclosure application program. For details not disclosed in the recommendation apparatus embodiment of disclosure application program, refer to the recommendation embodiment of the method for disclosure application program.
As a kind of example, the recommendation apparatus of this application program includes:
Processor;
For storing the memorizer of processor executable;
Wherein, processor is configured to:
Obtaining the application list image, wherein, the application list image includes application program identification information;
Application programs list image is identified, to extract the application program identification information among the application list image; And
Generate exemplary application program listing according to the application program identification information extracted, and provide to user, wherein, it is recommended that the application list includes the application program corresponding with application program identification information.
It should be noted that the explanation of the recommendation embodiment of the method for aforementioned application programs is also applied for the recommendation apparatus of the application program of this embodiment, it is similar that it realizes principle, repeats no more herein.
In sum, the recommendation apparatus of the application program that disclosure embodiment provides, can first obtain the list image of the application program including application program identification information, and this application list image is identified, to extract the identification information of the application program in the application list image, and the identification information according to the application program extracted, generate and include the exemplary application program listing of the application program corresponding with application program identification information and recommend user, achieve and be identified identifying this application program by application programs list image, and generate exemplary application program listing to user, user is facilitated to select the application program needed to carry out the installation of batch, improve the efficiency of user's set up applications on mobile terminals, improve Consumer's Experience.
Figure 16 is the block diagram of a kind of terminal 1000 according to an exemplary embodiment. Such as, this terminal 1000 can be mobile phone, computer, digital broadcast terminal, messaging devices, game console, tablet device, armarium, body-building equipment, personal digital assistant etc.
With reference to Figure 16, terminal 1000 can include following one or more assembly: processes assembly 1002, memorizer 1004, power supply module 1006, multimedia groupware 1008, audio-frequency assembly 1010, the interface 1012 of input/output (I/O), sensor cluster 1014, and communications component 1016.
Process assembly 1002 and generally control the integrated operation of terminal 1000, such as with display, call, data communication, the operation that camera operation and record operation are associated. Process assembly 1002 and can include one or more processor 1020 to perform instruction, to complete all or part of step of above-mentioned method. Additionally, process assembly 1002 can include one or more module, it is simple to what process between assembly 1002 and other assemblies is mutual. Such as, process assembly 1002 and can include multi-media module, with facilitate multimedia groupware 1008 and process between assembly 1002 mutual.
Memorizer 1004 is configured to store various types of data to support the operation in terminal 1000. The example of these data includes the instruction of any application program or the method being configured to operation in terminal 1000, contact data, telephone book data, message, picture, video etc. Memorizer 1004 can be realized by any kind of volatibility or non-volatile memory device or their combination, such as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic memory, flash memory, disk or CD.
The various assemblies that electric power assembly 1006 is terminal 1000 provide electric power. Electric power assembly 1006 can include power-supply management system, one or more power supplys, and other generate, manage and distribute, with for terminal 1000, the assembly that electric power is associated.
Multimedia groupware 1008 includes the touching display screen providing an output interface between described terminal 1000 and user. In certain embodiments, touching display screen can include liquid crystal display (LCD) and touch panel (TP). Touch panel includes one or more touch sensor to sense the gesture on touch, slip and touch panel. Described touch sensor can not only sense the border of touch or sliding action, but also detects the persistent period relevant to described touch or slide and pressure. In certain embodiments, multimedia groupware 1008 includes a front-facing camera and/or post-positioned pick-up head. When terminal 1000 is in operator scheme, during such as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive the multi-medium data of outside. Each front-facing camera and post-positioned pick-up head can be a fixing optical lens system or have focal length and optical zoom ability.
Audio-frequency assembly 1010 is configured to output and/or input audio signal. Such as, audio-frequency assembly 1010 includes a mike (MIC), and when terminal 1000 is in operator scheme, during such as call model, logging mode and speech recognition mode, mike is configured to receive external audio signal. The audio signal received can be further stored at memorizer 1004 or send via communications component 1016. In certain embodiments, audio-frequency assembly 1010 also includes a speaker, is configured to output audio signal.
I/O interface 1012 provides interface for processing between assembly 1002 and peripheral interface module, above-mentioned peripheral interface module can be keyboard, puts striking wheel, button etc. These buttons may include but be not limited to: home button, volume button, startup button and locking press button.
Sensor cluster 1014 includes one or more sensor, is configured to provide the state estimation of various aspects for terminal 1000. Such as, what sensor cluster 1014 can detect terminal 1000 opens/closed mode, the relative localization of assembly, such as described assembly is display and the keypad of terminal 1000, sensor cluster 1014 can also detect terminal 1000 or the position change of 1,000 1 assemblies of terminal, the presence or absence that user contacts with terminal 1000, the variations in temperature of terminal 1000 orientation or acceleration/deceleration and terminal 1000. Sensor cluster 1014 can include proximity transducer, is configured to when not having any physical contact object near detection. Sensor cluster 1014 can also include optical sensor, such as CMOS or ccd image sensor, is configured in imaging applications and uses. In certain embodiments, this sensor cluster 1014 can also include acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 1016 is configured to facilitate between terminal 1000 and other equipment the communication of wired or wireless mode. Terminal 1000 can access the wireless network based on communication standard, such as WiFi, 2G or 3G, or their combination. In one exemplary embodiment, communications component 1016 receives the broadcast singal or the broadcast related information that manage system from external broadcasting via broadcast channel. In one exemplary embodiment, described communications component 1016 also includes near-field communication (NFC) module, to promote junction service. Such as, can based on RF identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, terminal 1000 can be realized by one or more application specific integrated circuits (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components, is configured to perform the recommendation method (method shown in Fig. 1 to Fig. 5) of above-mentioned application program.
In the exemplary embodiment, additionally providing a kind of non-transitory computer-readable recording medium including instruction, for instance include the memorizer 1004 of instruction, above-mentioned instruction can have been performed said method by the processor 1020 of terminal 1000. Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is performed by the processor of terminal so that terminal is able to carry out a kind of recommendation method of application program, and described method includes:
Obtaining the application list image, wherein, the application list image includes application program identification information;
Application programs list image is identified, to extract the application program identification information among the application list image; And
Generate exemplary application program listing according to the application program identification information extracted, and provide to user, wherein, it is recommended that the application list includes the application program corresponding with application program identification information.
Those skilled in the art, after considering description and putting into practice invention disclosed herein, will readily occur to other embodiment of the disclosure. The application is intended to any modification of the disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed the general principle of the disclosure and include the undocumented known general knowledge in the art of the disclosure or conventional techniques means. Description and embodiments is considered only as exemplary, and the true scope of the disclosure and spirit are pointed out by claim below.
It should be appreciated that the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and various amendment and change can carried out without departing from the scope. The scope of the present disclosure is only limited by appended claim.

Claims (21)

1. the recommendation method of an application program, it is characterised in that comprise the following steps:
Obtaining the application list image, wherein, described the application list image includes application program identification information;
Described the application list image is identified, to extract the application program identification information among described the application list image; And
Generating exemplary application program listing according to the described application program identification information extracted, and provide to user, wherein, described exemplary application program listing includes the application program corresponding with described application program identification information.
2. the recommendation method of application program as claimed in claim 1, it is characterised in that also include:
Receive the application program that user selects in described exemplary application program listing;
Obtain the installation procedure that the application program of described user selection is corresponding, and install.
3. the recommendation method of application program as claimed in claim 1, it is characterised in that described application program identification information is the ID of application program, described is identified including to described the application list image:
Described the application list image is carried out Text region to extract the word in described the application list image;
Screen to generate described application program identification information to the word in described the application list image.
4. the recommendation method of the application program as described in claim 1 or 3, it is characterised in that described application program identification information is the icon of described application program, described is identified including to described the application list image:
Described the application list image is carried out image recognition to extract the icon in described the application list image;
Described icon and preset icon template are compared;
If described icon is consistent with preset icon template, then using described icon as described application program identification information.
5. the recommendation method of application program as claimed in claim 1, it is characterised in that the described described application program identification information according to extraction generates exemplary application program listing and includes:
Obtain the OS Type information of the mobile terminal of described user;
The application program that the OS Type information of the mobile terminal according to described user is corresponding with described application program identification information search, and generate described exemplary application program listing according to the application program searched.
6. the recommendation method of application program as claimed in claim 5, it is characterised in that obtain the application list image and include:
Obtain personal like's information of described user;
According to described personal like's information, the described application program searched is ranked up;
Exemplary application program listing is generated according to ranking results.
7. the recommendation method of application program as claimed in claim 5, it is characterised in that also include:
The temperature information of the application program searched described in acquisition;
According to described temperature information, the described application program searched is ranked up;
Exemplary application program listing is generated according to ranking results.
8. the recommendation method of application program as claimed in claim 5, it is characterised in that also include:
The score information of the application program searched described in acquisition;
According to institute's scoring information, the described application program searched is ranked up;
Exemplary application program listing is generated according to ranking results.
9. the recommendation method of application program as claimed in claim 2, it is characterised in that after the application program that described reception user selects in described exemplary application program listing, also include:
Extract the set up applications in the mobile terminal of described user;
Judge that whether the type of the application program that described user selects is consistent with the type of described set up applications;
If it is determined that the type of the application program of described user selection is consistent with the type of described set up applications, then described user is pointed out.
10. the recommendation method of application program as claimed in claim 2, it is characterised in that installation procedure that the application program that selects the described user of described acquisition is corresponding after installing, also includes:
Point out described user that the installation file of mounted application program is deleted.
11. the recommendation apparatus of an application program, it is characterised in that including:
Image collection module, is used for obtaining the application list image, and wherein, described the application list image includes application program identification information;
Identification module, is identified for described the application list image that described image collection module is obtained, to extract the application program identification information among described the application list image; And
Generation module, the described application program identification information for extracting according to described identification module generates exemplary application program listing, and provides to user, and wherein, described exemplary application program listing includes the application program corresponding with described application program identification information.
12. the recommendation apparatus of application program as claimed in claim 11, it is characterised in that also include:
Receiver module, for receiving the application program that user selects in described exemplary application program listing;
Module is installed, installation procedure corresponding to application program that the described user received for obtaining described receiver module selects, and install.
13. the recommendation apparatus of application program as claimed in claim 11, it is characterised in that described application program identification information is the ID of application program, and described identification module includes:
Word Input submodule, for carrying out Text region to extract the word in described the application list image to described the application list image;
First generates submodule, for screening to generate described application program identification information to the word in described the application list image of described Word Input submodule extraction.
14. the recommendation apparatus of the application program as described in claim 11 or 13, it is characterised in that described application program identification information is the icon of described application program, and described identification module includes:
Icon extracts submodule, for described the application list image is carried out image recognition to extract the icon in described the application list image;
Comparer module, the described icon extracted for described icon extracts submodule is compared with preset icon template;
Second generates submodule, for when described comparer module judges that described icon is consistent with preset icon template, then using described icon as described application program identification information.
15. the recommendation apparatus of application program as claimed in claim 11, it is characterised in that described generation module includes:
First obtains submodule, for obtaining the OS Type information of the mobile terminal of described user;
Search submodule, for the application program that the OS Type information of the mobile terminal of the described user obtained according to the first acquisition submodule is corresponding with described application program identification information search;
Generate submodule, generate described exemplary application program listing for the application program arrived according to described search sub-block searches.
16. the recommendation apparatus of application program as claimed in claim 15, it is characterised in that described generation module also includes:
Second obtains submodule, for obtaining personal like's information of described user;
First sorting sub-module, the described individual for obtaining submodule acquisition according to described second likes information that the described application program searched is ranked up, and wherein, described generation submodule generates exemplary application program listing according to ranking results.
17. the recommendation apparatus of application program as claimed in claim 15, it is characterised in that described generation module also includes:
3rd obtains submodule, is used for the temperature information of the application program searched described in obtaining;
Second sorting sub-module, the described application program searched is ranked up by the described temperature information for obtaining submodule acquisition according to the described 3rd, and wherein, described generation submodule generates exemplary application program listing according to ranking results.
18. the recommendation apparatus of application program as claimed in claim 15, it is characterised in that described generation module also includes:
4th obtains submodule, is used for the score information of the application program searched described in obtaining;
3rd sorting sub-module, the described application program searched is ranked up by the institute's scoring information for obtaining submodule acquisition according to the described 4th, and wherein, described generation submodule generates exemplary application program listing according to ranking results.
19. the recommendation apparatus of application program as claimed in claim 12, it is characterised in that also include:
Extraction module, is used for the set up applications extracting in the mobile terminal of described user;
Judge module, whether the type for judging described set up applications that the type of application program that described user selects extracts with described extraction module is consistent;
First reminding module, when type for judging application program that described user selects at described judge module is consistent with the type of described set up applications, points out described user.
20. the recommendation apparatus of application program as claimed in claim 12, it is characterised in that also include:
Second reminding module, for, after obtaining installation procedure corresponding to application program that described user selects and installing, pointing out described user that the installation file of mounted application program is deleted.
21. the recommendation apparatus of an application program, it is characterised in that including:
Processor;
For storing the memorizer of processor executable;
Wherein, described processor is configured to:
Obtaining the application list image, wherein, described the application list image includes application program identification information;
Described the application list image is identified, to extract the application program identification information among described the application list image; And
Generating exemplary application program listing according to the described application program identification information extracted, and provide to user, wherein, described exemplary application program listing includes the application program corresponding with described application program identification information.
CN201511020674.9A 2015-12-29 2015-12-29 Method and apparatus for recommending applications Pending CN105677392A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201511020674.9A CN105677392A (en) 2015-12-29 2015-12-29 Method and apparatus for recommending applications

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201511020674.9A CN105677392A (en) 2015-12-29 2015-12-29 Method and apparatus for recommending applications

Publications (1)

Publication Number Publication Date
CN105677392A true CN105677392A (en) 2016-06-15

Family

ID=56189796

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201511020674.9A Pending CN105677392A (en) 2015-12-29 2015-12-29 Method and apparatus for recommending applications

Country Status (1)

Country Link
CN (1) CN105677392A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107329791A (en) * 2017-07-03 2017-11-07 深圳Tcl新技术有限公司 Method, device and the computer-readable recording medium of application are installed in scanning
CN107958056A (en) * 2017-11-29 2018-04-24 广东欧珀移动通信有限公司 Using recommendation method, apparatus and mobile terminal
CN108062370A (en) * 2017-12-11 2018-05-22 维沃移动通信有限公司 A kind of application program searching method and mobile terminal
CN108255375A (en) * 2018-01-26 2018-07-06 联想(北京)有限公司 Image-recognizing method and system
WO2019149028A1 (en) * 2018-01-30 2019-08-08 维沃移动通信有限公司 Application download method and terminal

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103761335A (en) * 2014-02-18 2014-04-30 联想(北京)有限公司 Method and device for downloading target application from network and electronic device
CN104156417A (en) * 2014-08-01 2014-11-19 北京智谷睿拓技术服务有限公司 Information processing method and devices
CN104461474A (en) * 2013-09-12 2015-03-25 北京三星通信技术研究有限公司 Mobile terminal and screen-shooting method and device therefor
CN105095235A (en) * 2014-04-28 2015-11-25 小米科技有限责任公司 Application program recommendation method and device
CN105094904A (en) * 2015-07-20 2015-11-25 小米科技有限责任公司 Application program installation method and device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104461474A (en) * 2013-09-12 2015-03-25 北京三星通信技术研究有限公司 Mobile terminal and screen-shooting method and device therefor
CN103761335A (en) * 2014-02-18 2014-04-30 联想(北京)有限公司 Method and device for downloading target application from network and electronic device
CN105095235A (en) * 2014-04-28 2015-11-25 小米科技有限责任公司 Application program recommendation method and device
CN104156417A (en) * 2014-08-01 2014-11-19 北京智谷睿拓技术服务有限公司 Information processing method and devices
CN105094904A (en) * 2015-07-20 2015-11-25 小米科技有限责任公司 Application program installation method and device

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107329791A (en) * 2017-07-03 2017-11-07 深圳Tcl新技术有限公司 Method, device and the computer-readable recording medium of application are installed in scanning
CN107958056A (en) * 2017-11-29 2018-04-24 广东欧珀移动通信有限公司 Using recommendation method, apparatus and mobile terminal
CN108062370A (en) * 2017-12-11 2018-05-22 维沃移动通信有限公司 A kind of application program searching method and mobile terminal
CN108062370B (en) * 2017-12-11 2020-11-03 维沃移动通信有限公司 Application program searching method and mobile terminal
CN108255375A (en) * 2018-01-26 2018-07-06 联想(北京)有限公司 Image-recognizing method and system
WO2019149028A1 (en) * 2018-01-30 2019-08-08 维沃移动通信有限公司 Application download method and terminal

Similar Documents

Publication Publication Date Title
CN105488112B (en) Information-pushing method and device
CN105677392A (en) Method and apparatus for recommending applications
CN104933170A (en) Information exhibition method and device
CN105183513A (en) Application recommendation method and apparatus
CN104951336A (en) Application program installation method and device
CN105095427A (en) Search recommendation method and device
CN104111979A (en) Search recommendation method and device
CN104899083A (en) Application share method and device
CN104035979A (en) Object recommendation method and related device
CN105653276A (en) Method and apparatus for language setting
CN105373580A (en) Method and device for displaying subjects
CN105516944A (en) Short message canceling method and device
CN105068976A (en) Ticket information exhibition method and device
CN104331503A (en) Information push method and device
CN105095235A (en) Application program recommendation method and device
CN105159524A (en) Interface display method and apparatus
CN104572848A (en) Search method and search device based on browser
CN105447109A (en) Key word searching method and apparatus
CN104268129A (en) Message reply method and message reply device
CN105160009A (en) Resource downloading method and apparatus
CN104391877A (en) Method, device, terminal and server for searching subjects
CN104636064A (en) Gesture generating method and device
CN105205086A (en) Sharing method and device for application program using information
CN105740356A (en) Target audio marking method and apparatus
CN105163141A (en) Video recommending method and device

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
C10 Entry into substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20160615

RJ01 Rejection of invention patent application after publication