CN103810030A - Application recommendation method, device and system based on mobile terminal application market - Google Patents
Application recommendation method, device and system based on mobile terminal application market Download PDFInfo
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- CN103810030A CN103810030A CN201410058451.0A CN201410058451A CN103810030A CN 103810030 A CN103810030 A CN 103810030A CN 201410058451 A CN201410058451 A CN 201410058451A CN 103810030 A CN103810030 A CN 103810030A
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Abstract
The invention discloses an application recommendation method, device and system based on a mobile terminal application market. The method includes the steps that application description information input by users in real time is acquired from real-time behavior data of the users, wherein the real-time behavior data of the users are generated when the users operate mobile terminals; similarity between applications in an offline recommendation application set which is acquired through offline calculation is acquired; an online recommendation backup application set relevant to the application description information input by the users in real time is acquired through online calculation according to the application description information input by the users in real time and the similarity between the applications in the offline recommendation application set, and description information of one or more applications and downloading addresses of the applications in the online recommendation backup application set are used as recommendation results and displayed on terminal equipment of the users, wherein the online recommendation backup application set comprises one or more applications recommended to the users.
Description
Technical field
The invention belongs to field of computer technology, relate in particular to a kind of application based on mobile terminal application market and recommend robotization and personalized application recommend method, Apparatus and system.
Background technology
In mobile phone assistant, to represent position be all regularly or temporarily upgraded and replaced by operation personnel in the application of the overwhelming majority, general service end personnel can realize for operation personnel's demand the backstage of some plates, according to the difference of plate, the function on backstage is slightly different, but mostly there will be repetitive operation, while operation personnel needs the application download situation on analytical line every day to decide second day should be equipped with any application to relevant position, and workload is also larger.
In existing mobile phone assistant's the plate page (as homepage recommendation of quality goods, subclassification plate), each application site is operation manual configuration, and the application of each plate simultaneously can only be recommended the application of a part of identical characteristics.This kind of operation configuration mode consumed a large amount of manpowers, and daily requirement manually upgrades, and needs manual analysis data and select certain position should configure what application.After configuration, be all the same for all mobile phone assistants' user, in general a whole day, this space of a whole page does not have difference, so can not embody user's personalization simultaneously.
Summary of the invention
In view of the above problems, the present invention has been proposed to a kind of application recommend method, Apparatus and system based on mobile terminal application market that overcomes the problems referred to above or address the above problem is at least in part provided.
According to one aspect of the present invention, a kind of application recommend method based on mobile terminal application market is provided, comprise: from user's real-time behavioral data, obtain user and input in real time the descriptor of application, the real-time behavioral data that described user's real-time behavioral data produces for user's operating mobile terminal; From mobile terminal application market, obtain the similarity between application in the off-line exemplary application set that calculated off-line obtains; Input in real time the similarity between application in the descriptor of application and the set of described off-line exemplary application according to described user, calculate online to user and input in real time the online recommendation alternative application set that the descriptor of application is relevant, the set of described online recommendation alternative application comprises one or more application of recommending to user; The descriptor of one or more application in the set of described online recommendation alternative application and the download address of application are sent and are presented on user's terminal device as recommendation results.
And/or criteria in application another aspect of the present invention, a kind of application recommendation apparatus is also provided, comprising:
The first acquisition module, inputs the descriptor of application, the real-time behavioral data that described user's real-time behavioral data produces for user's operating mobile terminal in real time for obtaining user from user's real-time behavioral data;
The second acquisition module, for obtaining the similarity between application the off-line exemplary application set that calculated off-line obtains from mobile terminal application market;
Online computing module, for input in real time the similarity between the descriptor of application and described off-line exemplary application set application according to described user, calculate online to user and input in real time the online recommendation alternative application set that the descriptor of application is relevant, the set of described online recommendation alternative application comprises one or more application of recommending to user;
Recommending module, for sending and be presented at user's terminal device using the descriptor of one or more application of described online recommendation alternative application set and the download address of application as recommendation results.
And/or criteria in application another aspect of the present invention, a kind of application commending system based on mobile terminal application market is also provided, comprising: the application recommendation apparatus based on mobile terminal application market as above.
As shown from the above technical solution, embodiments of the invention have following beneficial effect: in an embodiment of the present invention, can utilize the set of off-line exemplary application in line computation, and calculate the set of online recommendation alternative application in conjunction with the descriptor that active user inputs application in real time.Because the recommendation results calculating online combines user's real-time behavioral data, and the set of off-line exemplary application, thereby can realize robotization recommendation and personalized recommendation, with respect to artificial recommendation, save a large amount of configuration efforts, saved manpower, promoted download simultaneously.
Accompanying drawing explanation
By reading below detailed description of the preferred embodiment, various other advantage and benefits will become cheer and bright for those of ordinary skills.Accompanying drawing is only for the object of preferred implementation is shown, and do not think limitation of the present invention.And in whole accompanying drawing, represent identical parts by identical reference symbol.In the accompanying drawings:
Fig. 1 shows according to one of process flow diagram of the method that in embodiments of the invention, the application based on mobile terminal application market is recommended;
Fig. 2 shows according to two of the process flow diagram of the method that in embodiments of the invention, the application based on mobile terminal application market is recommended;
The schematic diagram that Fig. 3 filters in showing and recommending according to application in embodiments of the invention;
The schematic diagram of sequence during Fig. 4 shows and recommends according to application in embodiments of the invention;
Fig. 5 shows according to three of the process flow diagram of the method that in embodiments of the invention, the application based on mobile terminal application market is recommended;
Fig. 6 shows according to one of device block diagram that in embodiments of the invention, the application based on mobile terminal application market is recommended;
Fig. 7 shows according to two of the device block diagram that in embodiments of the invention, the application based on mobile terminal application market is recommended;
Fig. 8 shows according to three of the device block diagram that in embodiments of the invention, the application based on mobile terminal application market is recommended; And
Fig. 9 shows according to the schematic diagram of the device that in embodiments of the invention, the application based on mobile terminal application market is recommended.
Embodiment
Exemplary embodiment of the present disclosure is described below with reference to accompanying drawings in more detail.Although shown exemplary embodiment of the present disclosure in accompanying drawing, but should be appreciated that and can realize the disclosure and the embodiment that should do not set forth limits here with various forms.On the contrary, it is in order more thoroughly to understand the disclosure that these embodiment are provided, and can be by the those skilled in the art that conveys to complete the scope of the present disclosure.
As shown in Figure 1, be one of the process flow diagram of the application recommend method based on mobile terminal application market in embodiments of the invention, the method 100 comprises:
Step S101, from user's real-time behavioral data, obtain user and input in real time the descriptor of application, the real-time behavioral data that described user's real-time behavioral data produces for user's operating mobile terminal, for example behavior of the title of input application in search column.
Above-mentioned application market also claims to apply shop, is commonly called as APP STORE, is such as mobile phone of mobile device specially, and panel computer etc. provide charge (freely) game, the electronic application shop of application download service.For example 360 mobile phone assistants, the mobile phone assistant of Baidu, Android market etc., can record the descriptor of each application and the download address of application in the database of application market conventionally.
In an embodiment of the present invention, collect user's behavioral data, as user's downloading data, user browse data, as recommending the input of calculating section and the input on statistics backstage.The user's who collects behavioral data can comprise: (explanation is the data of obtaining from any recommending data in the recommendation source of user ID (for example utilizing machine hardware number to calculate), application ID, this application, be used for analyzing on statistics backstage the recommendation effect of the different recommend method of contrast, and result data quantity that can the various recommend methods of corresponding adjustment).User data is divided into user's real-time behavioral data and user's historical behavior data, wherein, user's real-time behavioral data is mainly the top n application of browsing recently, the top n search word of search recently and/or the top n application of downloading recently, for example N=10, above-mentioned behavioral data can representative of consumer recent focus and interest, mainly as the source data of coming of recommending.User's historical behavior data are mainly the relevances for calculated off-line application.
Alternatively, in an embodiment of the present invention, described real-time behavioral data comprises: the descriptor of the descriptor of down load application, real-time search application and/or the descriptor of displaying live view application in real time, wherein said descriptor comprises: application ID, Apply Names and/or applicating category, wherein applicating category comprises: game, books, amusement, education, tourism, commercial affairs, music, physical culture, news, health medical treatment, photography, medical science, navigation, weather etc.
Step S103, from mobile terminal application market, obtain the similarity between application in the off-line exemplary application set that calculated off-line obtains.
In an embodiment of the present invention, recommended engine has calculated off-line function and online computing function.Major function is to calculate for different users in different locational recommendation list, wherein calculated off-line: the relevance between main computing application, but can calculate respectively according to different user behavior datas, as based on user installation table data, can calculate the relevance between application A and application B, i.e. the possibility that application A also can install B is installed in representative; For user's historical viewings data, also can calculate the relevance between application A and application B equally; All can calculate the basic data of one group of association as follow-up recommendation for different data policy.Alternatively, the algorithm of calculated off-line is selected collaborative filtering, calculates the once recommendation basic data as second day for example every day.
Step S105, input in real time the similarity between application in the descriptor of application and the set of off-line exemplary application according to user, calculate online to user and input in real time the online recommendation alternative application set that the descriptor of application is relevant, recommend online alternative application set to comprise one or more application of recommending to user.
In an embodiment of the present invention, be equivalent to real-time calculating in line computation, after obtaining user and inputting in real time the descriptor of application, calculate in real time to user and input in real time the online recommendation alternative application set that the descriptor of application is relevant.And above-mentioned calculated off-line is equivalent to non real-time calculating, in the time period that can specify user, calculate.In step S105, can utilize the set of off-line exemplary application in line computation, and calculate the set of online recommendation alternative application in conjunction with the descriptor that active user inputs application in real time.Because the recommendation results calculating online combines user's real-time behavioral data, and the set of off-line exemplary application, thereby can realize robotization recommendation and personalized recommendation, with respect to artificial recommendation, save a large amount of configuration efforts, saved manpower, promoted download simultaneously.
Step S106, the descriptor of one or more application in the set of described online recommendation alternative application and the download address of application are sent and are presented on user's terminal device as recommendation results.
As shown in Figure 2, in embodiments of the invention, apply recommend method process flow diagram two, be that, before step S101, described method also comprises with the difference of the method 100 shown in Fig. 1:
Step S107, from user's historical behavior data, obtain the descriptor of the historical input application of user.
In an embodiment of the present invention, user's historical behavior data comprise: the data of user's browse application, the data of user installation application, the data of user's down load application or the data of user search application.
Step S109, according to the descriptor of recommending to apply in original application set, calculated off-line obtains the off-line exemplary application set relevant to the descriptor of the historical input application of user.
In step S109, relevance between the main computing application of calculated off-line, but can calculate respectively according to different user behavior datas, as based on user installation table data, can calculate the relevance between application A and application B, i.e. the possibility that application A also can install B is installed in representative; For user's historical viewings data, also can calculate the relevance between application A and application B equally; All can calculate the basic data of one group of association as follow-up recommendation for different data policy.Alternatively, the algorithm of calculated off-line is selected collaborative filtering, calculates the once recommendation basic data as second day for example every day.
Step S111, calculated off-line go out the similarity between application in the set of off-line exemplary application.
Alternatively, in an embodiment of the present invention, can adopt the similarity Simlarity between following formula computing application, formula is as follows:
Wherein, x, y is respectively to application a, b produced user's set of behavior, can calculate the similarity between application a and application b by this formula.
Alternatively, described method 100 also comprises:
According to applying label data and/or user's historical behavior data, the application in the set of described off-line exemplary application is carried out to plate division, be applied label plate and/or user's historical behavior plate, wherein,
Described user's historical behavior data comprise: the data of user's browse application, the data of user installation application, the data of user's down load application or the data of user search application;
Described user's historical behavior plate comprises: user's browse application plate, user installation application plate, user's down load application plate or user search application plate.
In an embodiment of the present invention, recommend original application set can have multiple plates, in the time having two plates, the data of so each strategy group have two parts, the like.As shown in Figure 3, attribute and the keyword of the application of applying label data representation, as anti-, military etc. in game, tower, user browse data comprises: user ID, apply ID and browsing time, user installation data, user's downloading data and user search data and user browse data are similar.Strategy group 1～strategy group 5 gives respectively several groups of data and calculates separately correlation data, every group all calculates one group, as a kind of Policy Result, because the recommending data of certain plate can't comprise all application, in order to promote the speed that on the speed of calculating and line, interface is found, can present calculated off-line part filter out required application, and filter out unwanted application, the recommendation original application set that the correction strategy group 1～correction strategy 5 after filtration represents after filtration.
Alternatively, in an embodiment of the present invention, the set of described online recommendation alternative application comprises: applying label plate and/or user's historical behavior plate, and described method also comprises:
The plate weighted value that described applying label plate and/or user's historical behavior plate are set, described plate weighted value is larger, and the display position of plate is more important;
According to the demonstration weighted value of each plate, recommend, on the page, described applying label plate and/or user's historical behavior plate are carried out to plate arrangement in described application.
For the same recommendation page, likely have multiple recommendation plates, limit recommended set of applications, as having through transport game and two plates of non-through transport game in recommendation of quality goods, the application between plate is not identical, so the data of recommending also can be different, but need in the same recommendation page, represent, recommending to select which application to come important position in the page also needs proposed algorithm to set, and represents efficiency in order to maximize, and promotes download.As shown in Figure 4, feedback data can be to be applied in the previous day in current plate to be demonstrated number of times, download time, or according to representing number of times and download time, the conversion ratio of the application calculating.The display position of important plate refers to the place that user's vision is first touched, and is also to download the high place of possibility, for example, recommend the upper left corner of the page to the lower right corner, and the importance of display position is successively decreased successively.
As shown in Figure 5, in embodiments of the invention, apply recommend method process flow diagram three, with the difference of the method 100 shown in Fig. 2 be that S106 comprises in step:
Step S1061, calculate the recommendation of each application in the set of online recommendation alternative application;
Particularly, inputting in real time application and similarity, user between the online application of recommending in alternative application set according to user inputs in real time the initial weight of application and inputs in real time the application of applying in the online recommendation alternative application set of recommending out conversion ratio in the given time by user, calculate the recommendation of each application in the set of described online recommendation alternative application, wherein said user inputs the current accessed Time Calculation that the initial weight of application inputs application by user and obtains.
For example, calculate the recommendation score of each application in the set of described online recommendation alternative application according to following formula
i, wherein formula is:
Score
i=∑
i ∈ APPs, j ∈ inss
ji× W
j× W
ji, wherein
I represents to recommend online the application in alternative application set;
J represents that user inputs application;
APPs represents to recommend online alternative application set;
S
ijrepresent that user inputs application j and recommends online the similarity between the application i in alternative application set;
W
jrepresent that user inputs the initial weight of application j, W
jbetween 0～1;
W
jirepresent that user inputs application i in the application j online recommendation alternative application set recommending out conversion ratio in the given time.
Wherein, described user inputs the initial weight W of application j
jcalculated by following formula:
W
j=(t1-min(t))/(max(t)-min(t)), wherein
T1 represents that user inputs the current accessed time of application j;
T represents the access time set of all application.
Step S1063, according to the size of recommendation of application, from the set of online recommendation alternative application, choose one or more application; For example, according to the size of the recommendation of application, choose front 20 application from the set of online recommendation alternative application, the quantity of certainly choosing application is not limited to this.
The descriptor of one or more application that step S1065, basis are chosen and the download address of application generate application as recommendation results and recommend the page, and the application recommendation page is sent and is presented on user's mobile terminal.
Alternatively, before step S115, described method 100 also comprises: according to the size of the recommendation of described application, the application in the set of described online recommendation alternative application is sorted.
As shown in Figure 6, be one of device block diagram of recommending based on the application of mobile terminal application market in embodiments of the invention, this application recommendation apparatus 600 comprises:
The first acquisition module 601, inputs the descriptor of application, the real-time behavioral data that described user's real-time behavioral data produces for user's operating mobile terminal in real time for obtaining user from user's real-time behavioral data; Described real-time behavioral data comprises: the descriptor of the descriptor of down load application, real-time search application and/or the descriptor of displaying live view application in real time, wherein said descriptor comprises: application ID, Apply Names and/or applicating category.
The second acquisition module 603, for obtaining the similarity between application the off-line exemplary application set that calculated off-line obtains from mobile terminal application market;
Recommending module 606, for sending and be presented at user's terminal device using the descriptor of one or more application of described online recommendation alternative application set and the download address of application as recommendation results.
In an embodiment of the present invention, can utilize the set of off-line exemplary application in line computation, and calculate the set of online recommendation alternative application in conjunction with the descriptor that active user inputs application in real time.Because the recommendation results calculating online combines user's real-time behavioral data, and the set of off-line exemplary application, thereby can realize robotization recommendation and personalized recommendation, with respect to artificial recommendation, save a large amount of configuration efforts, saved manpower, promoted download simultaneously.
As shown in Figure 7, in embodiments of the invention, apply recommendation apparatus block diagram two, be that described device 600 also comprises with the difference of the device 600 shown in Fig. 6:
Historical behavior acquisition module 607, obtains the descriptor of the historical input application of user for the historical behavior data from user;
Calculated off-line module 609, according to the descriptor of recommending to apply in original application set, calculated off-line obtains the off-line exemplary application set relevant to the descriptor of the historical input application of user;
Alternatively, in an embodiment of the present invention, described device 600 also comprises:
Plate is divided module, for according to applying label data and/or user's historical behavior data, the application in the set of described off-line exemplary application is carried out to plate division, be applied label plate and/or user's historical behavior plate, wherein,
Described user's historical behavior data comprise: the data of user's browse application, the data of user installation application, the data of user's down load application or the data of user search application; Described user's historical behavior plate comprises: user's browse application plate, user installation application plate, user's down load application plate or user search application plate.
Alternatively, in an embodiment of the present invention, described device 600 also comprises:
Plate weight module, for the plate weighted value of described applying label plate and/or user's historical behavior plate is set, described plate weighted value is larger, and the display position of plate is more important;
Plate is arranged module, for according to the demonstration weighted value of each plate, recommends, on the page, described applying label plate and/or user's historical behavior plate are carried out to plate arrangement in described application.
As shown in Figure 8, in embodiments of the invention, apply recommendation apparatus block diagram three, be that described recommending module 606 comprises with the difference of the device 600 shown in Fig. 7:
Recommendation computing unit 6061, for calculating the recommendation of the each application of described online recommendation alternative application set;
One or more application for according to the size of the recommendation of described application, are chosen in application choice unit 6063 from the set of described online recommendation alternative application;
Recommend page generation unit 6065, recommend the page for generating application according to one or more application of choosing.
Alternatively, in an embodiment of the present invention, described device 600 also comprises:
Application order module, is connected with described recommendation computing unit and described application choice unit, for the application of described online recommendation alternative application set being sorted according to the size of the recommendation of described application.
Alternatively, described recommendation computing unit 6061 is further used for inputting in real time application and similarity, user between the online application of recommending in alternative application set according to user and inputs in real time the initial weight of application and input in real time the application of applying in the online recommendation alternative application set of recommending out conversion ratio in the given time by user, calculate the recommendation of each application in the set of described online recommendation alternative application, wherein said user inputs the current accessed Time Calculation that the initial weight of application inputs application by user and obtains.
Particularly, recommendation computing unit 6061 calculates the recommendation score of each application in the set of described online recommendation alternative application according to following formula
i, wherein formula is:
Score
i=∑
i ∈ APPs, j ∈ inss
ji× W
j× W
ji, wherein
I represents to recommend online the application in alternative application set;
J represents that user inputs application;
APPs represents to recommend online alternative application set;
S
ijrepresent that user inputs application j and recommends online the similarity between the application i in alternative application set;
W
jrepresent that user inputs the initial weight of application j, W
jbetween 0～1;
W
jirepresent that user inputs application i in the application j online recommendation alternative application set recommending out conversion ratio in the given time.
Alternatively, wherein said user inputs the initial weight W of application j
jcalculated by following formula:
W
j=(t1-min(t))/(max(t)-min(t)), wherein
T1 represents that user inputs the current accessed time of application j;
T represents the access time set of all application.
As shown in Figure 9, for the schematic diagram of the device that in embodiments of the invention, application is recommended, this device is mainly divided into three parts, Part I is the service logic part that mobile phone assistant's plate represents, be responsible for user behavior data collection, recommendation results presents, and mainly represents in client with the form of the page; Part II is recommended engine, is responsible for the computing of association off-line data and storage based on recommending pond, and the personalization being recommended in line computation interface is calculated; Part III is back partition, mainly comprises that the result data that plate is born respectively on operation backstage and statistics backstage represents the function of safeguarding with exemplary application set.
Also provide a kind of application commending system based on mobile terminal application market in a third aspect of the present invention, having comprised: application recommendation apparatus as above.
The algorithm providing at this is intrinsic not relevant to any certain computer, virtual system or miscellaneous equipment with demonstration.Various general-purpose systems also can with based on using together with this teaching.According to description above, it is apparent constructing the desired structure of this type systematic.In addition, the present invention is not also for any certain programmed language.It should be understood that and can utilize various programming languages to realize content of the present invention described here, and the description of above language-specific being done is in order to disclose preferred forms of the present invention.
In the instructions that provided herein, a large amount of details are described.But, can understand, embodiments of the invention can be put into practice in the situation that there is no these details.In some instances, be not shown specifically known method, structure and technology, so that not fuzzy understanding of this description.
Similarly, be to be understood that, in order to simplify the disclosure and to help to understand one or more in each inventive aspect, in the above in the description of exemplary embodiment of the present invention, each feature of the present invention is grouped together into single embodiment, figure or sometimes in its description.But, the method for the disclosure should be construed to the following intention of reflection: the present invention for required protection requires than the more feature of feature of clearly recording in each claim.Or rather, as reflected in claims below, inventive aspect is to be less than all features of disclosed single embodiment above.Therefore, claims of following embodiment are incorporated to this embodiment thus clearly, and wherein each claim itself is as independent embodiment of the present invention.
Those skilled in the art are appreciated that and can the module in the equipment in embodiment are adaptively changed and they are arranged in one or more equipment different from this embodiment.Module in embodiment or unit or assembly can be combined into a module or unit or assembly, and can put them in addition multiple submodules or subelement or sub-component.At least some in such feature and/or process or unit are mutually repelling, and can adopt any combination to combine all processes or the unit of disclosed all features in this instructions (comprising claim, summary and the accompanying drawing followed) and disclosed any method like this or equipment.Unless clearly statement in addition, in this instructions (comprising claim, summary and the accompanying drawing followed) disclosed each feature can be by providing identical, be equal to or similar object alternative features replaces.
In addition, those skilled in the art can understand, although embodiment more described herein comprise some feature rather than further feature included in other embodiment, the combination of the feature of different embodiment means within scope of the present invention and forms different embodiment.For example, in the following claims, the one of any of embodiment required for protection can be used with array mode arbitrarily.
All parts embodiment of the present invention can realize with hardware, or realizes with the software module of moving on one or more processor, or realizes with their combination.It will be understood by those of skill in the art that and can use in practice microprocessor or digital signal processor (DSP) to realize the some or all functions according to the some or all parts in the device of the embodiment of the present invention.The present invention can also be embodied as part or all equipment or the device program (for example, computer program and computer program) for carrying out method as described herein.Realizing program of the present invention and can be stored on computer-readable medium like this, or can there is the form of one or more signal.Such signal can be downloaded and obtain from internet website, or provides on carrier signal, or provides with any other form.
It should be noted above-described embodiment the present invention will be described rather than limit the invention, and those skilled in the art can design alternative embodiment in the case of not departing from the scope of claims.In the claims, any reference symbol between bracket should be configured to limitations on claims.Word " comprises " not to be got rid of existence and is not listed as element or step in the claims.Being positioned at word " " before element or " one " does not get rid of and has multiple such elements.The present invention can be by means of including the hardware of some different elements and realizing by means of the computing machine of suitably programming.In the unit claim of having enumerated some equipment, several in these equipment can be to carry out imbody by same hardware branch.The use of word first, second and C grade does not represent any order.Can be title by these word explanations.
The invention discloses A1, a kind of application recommend method based on mobile terminal application market, comprising:
From user's real-time behavioral data, obtain user and input in real time the descriptor of application, the real-time behavioral data that described user's real-time behavioral data produces for user's operating mobile terminal;
From mobile terminal application market, obtain the similarity between application in the off-line exemplary application set that calculated off-line obtains;
Input in real time the similarity between application in the descriptor of application and the set of described off-line exemplary application according to described user, calculate online to user and input in real time the online recommendation alternative application set that the descriptor of application is relevant, the set of described online recommendation alternative application comprises one or more application of recommending to user;
The descriptor of one or more application in the set of described online recommendation alternative application and the download address of application are sent and are presented on user's terminal device as recommendation results.
A2, according to the method described in A1, the step on the described terminal device that sends and be presented at user using the descriptor of one or more application in the set of described online recommendation alternative application and the download address of application as recommendation results comprises:
Calculate the recommendation of each application in the set of described online recommendation alternative application;
According to the size of the recommendation of described application, from the set of described online recommendation alternative application, choose one or more application;
Generate application according to the download address of the descriptor of one or more application of choosing and application as recommendation results and recommend the page, and recommend the page to send and be presented on user's mobile terminal described application.
A3, according to the method described in A2, wherein said according to the size of the recommendation of described application, choose the step of one or more application from the set of described online recommendation alternative application before, described method also comprises:
According to the size of the recommendation of described application, the application in the set of described online recommendation alternative application is sorted.
A4, according to the method described in A2, described in calculate the recommendation of each application in the set of described online recommendation alternative application step be:
Inputting in real time application and similarity, user between the online application of recommending in alternative application set according to user inputs in real time the initial weight of application and inputs in real time the application of applying in the online recommendation alternative application set of recommending out conversion ratio in the given time by user, calculate the recommendation of each application in the set of described online recommendation alternative application, wherein said user inputs the current accessed Time Calculation that the initial weight of application inputs application by user and obtains.
A5, according to the method described in A2, described from user's real-time behavioral data, obtain the descriptor that user inputs application in real time before, described method also comprises:
From user's historical behavior data, obtain the descriptor of the historical input application of user;
According to the descriptor of recommending to apply in original application set, calculated off-line obtains the off-line exemplary application set relevant to the descriptor of the historical input application of user;
Calculated off-line goes out the similarity between application in the set of described off-line exemplary application.
A6, according to the method described in A5, described method also comprises:
According to applying label data and/or user's historical behavior data, the application in the set of described off-line exemplary application is carried out to plate division, be applied label plate and/or user's historical behavior plate, wherein,
Described user's historical behavior data comprise: the data of user's browse application, the data of user installation application, the data of user's down load application or the data of user search application;
Described user's historical behavior plate comprises: user's browse application plate, user installation application plate, user's down load application plate or user search application plate.
A7, according to the method described in A6, the set of described online recommendation alternative application comprises: applying label plate and/or user's historical behavior plate, described method also comprises:
The plate weighted value that described applying label plate and/or user's historical behavior plate are set, described plate weighted value is larger, and the display position of plate is more important;
According to the demonstration weighted value of each plate, recommend, on the page, described applying label plate and/or user's historical behavior plate are carried out to plate arrangement in described application.
A8, according to the method described in A1～A7 any one, wherein, described real-time behavioral data comprises: the descriptor of the descriptor of down load application, real-time search application and/or the descriptor of displaying live view application in real time, wherein said attribute information comprises: application ID, Apply Names and/or applicating category.
B9, a kind of application recommendation apparatus based on mobile terminal application market, comprising:
The first acquisition module, inputs the descriptor of application, the real-time behavioral data that described user's real-time behavioral data produces for user's operating mobile terminal in real time for obtaining user from user's real-time behavioral data;
The second acquisition module, for obtaining the similarity between application the off-line exemplary application set that calculated off-line obtains from mobile terminal application market;
Online computing module, for input in real time the similarity between the descriptor of application and described off-line exemplary application set application according to described user, calculate online to user and input in real time the online recommendation alternative application set that the descriptor of application is relevant, the set of described online recommendation alternative application comprises one or more application of recommending to user;
Recommending module, for sending and be presented at user's terminal device using the descriptor of one or more application of described online recommendation alternative application set and the download address of application as recommendation results.
B10, according to the device described in B9, described recommending module comprises:
Recommendation computing unit, for calculating the recommendation of the each application of described online recommendation alternative application set;
One or more application for according to the size of the recommendation of described application, are chosen in application choice unit from the set of described online recommendation alternative application;
Recommend page generation unit, for generating the application recommendation page according to the descriptor of one or more application of choosing and the download address of application as recommendation results, and recommend the page to send and be presented on user's mobile terminal described application.
B11, according to the device described in B10, described device also comprises:
Application order module, is connected with described recommendation computing unit and described application choice unit, for the application of described online recommendation alternative application set being sorted according to the size of the recommendation of described application.
B12, according to the device described in B10, described recommendation computing unit is further used for inputting in real time application and similarity, user between the online application of recommending in alternative application set according to user and inputs in real time the initial weight of application and input in real time the application of applying in the online recommendation alternative application set of recommending out conversion ratio in the given time by user, calculate the recommendation of each application in the set of described online recommendation alternative application, wherein said user inputs the current accessed Time Calculation that the initial weight of application inputs application by user and obtains.
B13, according to the device described in B10, described device also comprises:
Historical behavior acquisition module, obtains the descriptor of the historical input application of user for the historical behavior data from user;
Calculated off-line module, according to the descriptor of recommending to apply in original application set, calculated off-line obtains the off-line exemplary application set relevant to the descriptor of the historical input application of user;
Similarity calculation module, goes out the similarity between described off-line exemplary application set application for calculated off-line.
B14, according to the device described in B13, described device also comprises:
Plate is divided module, for according to applying label data and/or user's historical behavior data, the application in the set of described off-line exemplary application is carried out to plate division, be applied label plate and/or user's historical behavior plate, wherein,
Described user's historical behavior data comprise: the data of user's browse application, the data of user installation application, the data of user's down load application or the data of user search application; Described user's historical behavior plate comprises: user's browse application plate, user installation application plate, user's down load application plate or user search application plate.
B15, according to the device described in B14, described device also comprises:
Plate weight module, for the plate weighted value of described applying label plate and/or user's historical behavior plate is set, described plate weighted value is larger, and the display position of plate is more important;
Plate is arranged module, for according to the demonstration weighted value of each plate, recommends, on the page, described applying label plate and/or user's historical behavior plate are carried out to plate arrangement in described application.
B16, according to the device described in B9～B15 any one, wherein, described real-time behavioral data comprises: the descriptor of the descriptor of down load application, real-time search application and/or the descriptor of displaying live view application in real time, wherein said attribute information comprises: application ID, Apply Names and/or applicating category.
C17, a kind of application commending system based on mobile terminal application market, comprising: the application recommendation apparatus based on mobile terminal application market as described in C9～C16 any one.
Claims (10)
1. the application recommend method based on mobile terminal application market, comprising:
From user's real-time behavioral data, obtain user and input in real time the descriptor of application, the real-time behavioral data that described user's real-time behavioral data produces for user's operating mobile terminal;
From mobile terminal application market, obtain the similarity between application in the off-line exemplary application set that calculated off-line obtains;
Input in real time the similarity between application in the descriptor of application and the set of described off-line exemplary application according to described user, calculate online to user and input in real time the online recommendation alternative application set that the descriptor of application is relevant, the set of described online recommendation alternative application comprises one or more application of recommending to user;
The descriptor of one or more application in the set of described online recommendation alternative application and the download address of application are sent and are presented on user's terminal device as recommendation results.
2. method according to claim 1, the step on the described terminal device that sends and be presented at user using the descriptor of one or more application in the set of described online recommendation alternative application and the download address of application as recommendation results comprises:
Calculate the recommendation of each application in the set of described online recommendation alternative application;
According to the size of the recommendation of described application, from the set of described online recommendation alternative application, choose one or more application;
Generate application according to the download address of the descriptor of one or more application of choosing and application as recommendation results and recommend the page, and recommend the page to send and be presented on user's mobile terminal described application.
3. method according to claim 2, wherein said according to the size of the recommendation of described application, choose the step of one or more application from the set of described online recommendation alternative application before, described method also comprises:
According to the size of the recommendation of described application, the application in the set of described online recommendation alternative application is sorted.
4. method according to claim 2, described in calculate the recommendation of each application in the set of described online recommendation alternative application step be:
Inputting in real time application and similarity, user between the online application of recommending in alternative application set according to user inputs in real time the initial weight of application and inputs in real time the application of applying in the online recommendation alternative application set of recommending out conversion ratio in the given time by user, calculate the recommendation of each application in the set of described online recommendation alternative application, wherein said user inputs the current accessed Time Calculation that the initial weight of application inputs application by user and obtains.
5. method according to claim 2, described from user's real-time behavioral data, obtain the descriptor that user inputs application in real time before, described method also comprises:
From user's historical behavior data, obtain the descriptor of the historical input application of user;
According to the descriptor of recommending to apply in original application set, calculated off-line obtains the off-line exemplary application set relevant to the descriptor of the historical input application of user;
Calculated off-line goes out the similarity between application in the set of described off-line exemplary application.
6. method according to claim 5, described method also comprises:
According to applying label data and/or user's historical behavior data, the application in the set of described off-line exemplary application is carried out to plate division, be applied label plate and/or user's historical behavior plate, wherein,
Described user's historical behavior data comprise: the data of user's browse application, the data of user installation application, the data of user's down load application or the data of user search application;
Described user's historical behavior plate comprises: user's browse application plate, user installation application plate, user's down load application plate or user search application plate.
7. method according to claim 6, the set of described online recommendation alternative application comprises: applying label plate and/or user's historical behavior plate, described method also comprises:
The plate weighted value that described applying label plate and/or user's historical behavior plate are set, described plate weighted value is larger, and the display position of plate is more important;
According to the demonstration weighted value of each plate, recommend, on the page, described applying label plate and/or user's historical behavior plate are carried out to plate arrangement in described application.
8. according to the method described in claim 1～7 any one, wherein, described real-time behavioral data comprises: the descriptor of the descriptor of down load application, real-time search application and/or the descriptor of displaying live view application in real time, wherein said attribute information comprises: application ID, Apply Names and/or applicating category.
9. the application recommendation apparatus based on mobile terminal application market, comprising:
The first acquisition module, inputs the descriptor of application, the real-time behavioral data that described user's real-time behavioral data produces for user's operating mobile terminal in real time for obtaining user from user's real-time behavioral data;
The second acquisition module, for obtaining the similarity between application the off-line exemplary application set that calculated off-line obtains from mobile terminal application market;
Online computing module, for input in real time the similarity between the descriptor of application and described off-line exemplary application set application according to described user, calculate online to user and input in real time the online recommendation alternative application set that the descriptor of application is relevant, the set of described online recommendation alternative application comprises one or more application of recommending to user;
Recommending module, for sending and be presented at user's terminal device using the descriptor of one or more application of described online recommendation alternative application set and the download address of application as recommendation results.
10. the application commending system based on mobile terminal application market, comprising: the application recommendation apparatus based on mobile terminal application market as claimed in claim 9.
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