CN107256251A - A kind of application software searching method, device and server - Google Patents

A kind of application software searching method, device and server Download PDF

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Publication number
CN107256251A
CN107256251A CN201710431235.XA CN201710431235A CN107256251A CN 107256251 A CN107256251 A CN 107256251A CN 201710431235 A CN201710431235 A CN 201710431235A CN 107256251 A CN107256251 A CN 107256251A
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application software
mrow
msub
search
listing
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CN107256251B (en
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潘岸腾
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Alibaba China Co Ltd
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Guangzhou Youshi Network Technology Co Ltd
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Priority to PCT/CN2018/090150 priority patent/WO2018223993A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/951—Indexing; Web crawling techniques

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Abstract

The embodiment of the present invention provides a kind of application software searching method, device and server, belongs to Internet technical field.A kind of implementation of the application software searching method includes：Calculate the first similarity of each application software in the search term and resource database of input, then according to the user behavior data for counting each application software in obtained resource database in advance, calculate the qualitative data of each application software, each corresponding first similarity of application software and qualitative data, generate the first search listing of search term in the last resource database obtained further according to calculating.The application software searching method of the qualitative data of this similarity for having considered search term and application software and application software, its result searched out can be obviously improved the download usage experience of user, and user can obtain oneself wanting to use from search result or like application software that is using and having usage experience to ensure.

Description

A kind of application software searching method, device and server
Technical field
The present invention relates to Internet technical field, in particular to a kind of application software searching method, device and service Device.
Background technology
In the prior art, user can it is free in application software shop (such as AppStore, AndroidMarket) under Carry or paying downloading application software, in order to entertain, learn or work.It is well known that same type of in application software shop Application software generally has many moneys (application software of such as camera type includes camera 360, U.S. face camera, Poco cameras), If in advance without set downloaded object, user is soft in the application that a certain type for wanting to download is obtained by application software shop It is typically first to input search term on the interface in application software shop to scan for, then voluntarily selected in search result during part. This application software way of search can not provide the user the download service of intelligent optimization, and the search result shown is to user's Experience is not good, often occurs and is owed without the application software usage experience that user wants the application software of download or searches out It is good, it is impossible to meet the download use demand of user well.
The content of the invention
In view of this, it is an object of the invention to provide a kind of application software searching method, device and server, to improve Above mentioned problem.
Present pre-ferred embodiments provide a kind of application software searching method, and this method includes：Calculate the search term of input With the first similarity of each application software in resource database；It is each in the resource database obtained according to counting in advance The user behavior data of application software, calculates the qualitative data of each application software；The resource data obtained according to calculating Each corresponding first similarity of application software and the qualitative data in storehouse, generate the first search listing of the search term, First search listing includes at least one application software in the resource database.
Another preferred embodiment of the present invention provides a kind of application software searcher, and the device includes：First similarity meter Module is calculated, the first similarity of each application software in the search term and resource database for calculating input；Qualitative data meter Module is calculated, for according to the user behavior data for counting each application software in the obtained resource database in advance, calculating The qualitative data of each application software；First search listing generation module, for the resource database obtained according to calculating In each corresponding first similarity of application software and the qualitative data, generate the first search listing of the search term, institute Stating the first search listing includes at least one application software in the resource database.
Another preferred embodiment of the present invention provides a kind of server, and the server includes：Memory；Processor；And should Software search device is used, the application software searcher is installed in the memory and including one or more by the processing The software function module that device is performed, the application software searcher includes：First similarity calculation module, for calculating input Search term and the first similarity of each application software in resource database；Qualitative data computing module, for according to system in advance The user behavior data of each application software in the obtained resource database is counted, the mass number of each application software is calculated According to；First search listing generation module, for corresponding according to each application software in the obtained resource database is calculated First similarity and the qualitative data, generate the first search listing of the search term, and first search listing includes institute State at least one application software in resource database.
Application software searching method provided in an embodiment of the present invention, device and server, calculate the search term and money of input First similarity of each application software in source database, then basis is counted in advance each applies in obtained resource database The user behavior data of software, calculates the qualitative data of each application software, the resource database finally obtained further according to calculating In each corresponding first similarity of application software and qualitative data, generate the first search listing of search term.This synthesis is examined The application software searching method of the similarity of search term and application software and the qualitative data of application software is considered, it is searched out Result can be obviously improved the download usage experience of user, user can obtain oneself wanting to use from search result or Like application software that is using and having quality assurance.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be attached to what is used required in embodiment Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore is not construed as pair The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 is the communication interaction schematic diagram of a kind of server provided in an embodiment of the present invention and at least one electronic equipment；
Fig. 2 is a kind of block diagram of server provided in an embodiment of the present invention；
Fig. 3 is a kind of flow chart of application software searching method provided in an embodiment of the present invention；
The search interface schematic diagram that Fig. 4 is App Store in an example provided in an embodiment of the present invention；
After Fig. 5 scans for for the search term " camera " provided in an embodiment of the present invention inputted according to search interface in Fig. 4 Obtained search result displaying interface schematic diagram；
Fig. 6 is " the browser interface signal that camera 360 " enters afterwards shown in click Fig. 5 provided in an embodiment of the present invention Figure；
Fig. 7 is the flow chart of another application software searching method provided in an embodiment of the present invention；
Fig. 8 is a kind of functional block diagram of application software searcher provided in an embodiment of the present invention.
Icon：100- servers；200- electronic equipments；110- application software searchers；120- memories；130- processing Device；140- communication units；150- resource databases；The similarity calculation modules of 1102- first；1104- qualitative data computing modules； 1106- the first search listing generation modules；1108- intended application software acquisition modules；The similarity calculation modules of 1110- second； 1112- sequence index computing modules；1114- the second search listing generation modules；1116- search result list generation modules.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is A part of embodiment of the present invention, rather than whole embodiments.The present invention implementation being generally described and illustrated herein in the accompanying drawings The component of example can be arranged and designed with a variety of configurations.It should be noted that：Similar label and letter are following attached Similar terms is represented in figure, therefore, once being defined in a certain Xiang Yi accompanying drawing, then it need not be entered in subsequent accompanying drawing Row further definition and explanation.
Therefore, the detailed description of embodiments of the invention below to providing in the accompanying drawings is not intended to limit claimed The scope of the present invention, but be merely representative of the present invention selected embodiment.Based on the embodiment in the present invention, this area is common The every other embodiment that technical staff is obtained under the premise of creative work is not made, belongs to the model that the present invention is protected Enclose.
Referring to Fig. 1, being that server 100 provided in an embodiment of the present invention is communicated with least one electronic equipment 200 Interaction schematic diagram.The electronic equipment 200 can be set up by network and server 100 and be communicated to connect, to carry out data transmission Or interaction.The server 100 can provide the application (Application, APP) that at least one is applied to various operating systems Installation kit downloaded for the electronic equipment 200.The electronic equipment 200 can pass through server 100 described in the network access With the installation kit for the application for downloading the operating system suitable for the electronic equipment 200, and the application is installed to the electronics In equipment 200.
In the present embodiment, the application can be application software shop, such as App Store, AndroidMarket, MobileMarket etc..When the application software shop being installed on the electronic equipment 200 is opened on foreground, user can be Browse each money application software on the interface of opening, or by inputting search term and searching for itself want to browse or download on interface The application software used.
In the present embodiment, the server 100 may be, but not limited to, the webserver, ftp server Deng.The electronic equipment 200 may be, but not limited to, smart mobile phone, tablet personal computer, personal digital assistant, mobile internet surfing equipment Deng.The network may be, but not limited to, cable network or wireless network.The operating system of the electronic equipment 200 can be with It is, but is not limited to, Android (Android) system, IOS systems, Windows phone systems etc..
Referring to Fig. 2, being the block diagram of the server 100 provided in an embodiment of the present invention.The server 100 Including application software searcher 110, memory 120, processor 130, communication unit 140 and resource database 150.
Direct or indirect electric connection between the memory 120, processor 130 and communication unit 140, to realize The transmission or interaction of data.The application software searcher 110, which includes at least one, to be stored in the form of software or firmware In the memory 120 or the software function module that is solidificated in the operating system of the server 100.The processor 130 are used to performing the executable module that is stored in the memory 120, such as included by described application software searcher 110 Software function module and computer program etc..
The communication unit 140 is used to set up logical between the server 100 and electronic equipment 200 by the network Letter connection, and for passing through the network transceiving data.
The resource database 150 can be used for storing the information of various application software in such as application software shop.Can Selection of land, resource database 150 can be stored in the memory 120, so that the processor 130 is performing for example described answer Accessed during with the software function module included by software search device 110.
Referring to Fig. 3, being a kind of flow chart of application software searching method provided in an embodiment of the present invention.In the present embodiment Method be applied to the server 100.It should be noted that, this method is not using Fig. 3 and following particular orders as limitation.Under Each step shown in Fig. 3 will be described in detail for face.
Step S101, calculates the first similarity of each application software in the search term and resource database of input.
As a kind of embodiment, when application software shop, (such as App Store, Huawei apply shop using store, millet Deng) in the foreground opening of electronic equipment 200, user can input search term on application interface, then pass through electronic equipment The search term is sent to server 100 by 200 so that server 100 according to the search term received in resource database 150 Middle progress application software search.
Below by taking an intended application software in the resource database 150 as an example, the service is exemplarily illustrated Device 100 calculates the search term and the implementation process of the first similarity of intended application software.It is appreciated that calculating first phase This can be not restricted to like the mode of degree.
The text message for describing the intended application software is obtained in advance.The text message can include intended application software Title or the intended application software introduce word.The text message can also be the intended application software title and Introduce literary combinatorics on words.As a kind of possible implementation, the title of intended application software or to introduce word can be mesh Mark application software upload person or manager set and are sent to server 100 in the lump in upload server 100 manually, also may be used So that crawl is gone from particular webpage by network.If above-mentioned title or word derive from webpage, it will can be attached in crawl content Such as html elements info web reject after obtain corresponding text message.
Then, using default segmentation methods, such as maximum matching method, reverse matching method, bi-directional matching method, to the mesh The text message and search term for marking application software carry out word segmentation processing.In the present embodiment, can be right when carrying out word segmentation processing Word segmentation result is filtered can reflect the participle of content of text to retain.For example, can be by the punctuation mark in word segmentation result (such as：Fullstop, pause mark and comma etc.) and the participle of substantive content is not expressed (such as：" without ", " not having ", " " and " again " etc. is even Connect word) filter out.
Calculate the word frequency that each participle occurs in the text message, the search term of the intended application software (term frequency).Word frequency (term frequency) is used for the frequency for representing that participle occurs in its correspondence content of text Rate.In the present embodiment, word frequency of each participle in the text message of intended application software can be calculated using following calculating formula：
Wherein, niRepresent participle tiThe number of times occurred in the text message of intended application software, ∑knkRepresent in target The number of times sum that all participles occur in the text message of application software, tfiRepresent participle tiIn the text envelope of intended application software The frequency occurred in breath.
Similarly, in the present embodiment, word frequency of each participle in search term can be calculated using following calculating formula：
Wherein, ni' represent participle tiThe number of times occurred in search term, ∑kn′kRepresent all points in the search term The number of times sum that word occurs, tfi' represent participle tiThe frequency occurred in the search term.
Further according to the corresponding text message of all intended application softwares in the resource database 150, each point is calculated The inverse document frequency (inverse document frequency) of word.All intended applications in resource database 150 are represented with J The set of software, isContaini,jRepresent participle tiWhether occur in the corresponding text messages of intended application software j, if waiting Occurred in that in 1 expression, represent do not occur if equal to 0, idfiRepresent participle tiInverse document frequency, specific formula for calculation Can be：
Then, according to the inverse document frequency of each participle and the word frequency in the text message of intended application software, calculate Tf-idf (termfrequency-inverse document of each participle in the text message of the intended application software Frequency) value.Specifically, participle t is calculatediThe mode of tf-idf values in the text message of the intended application software can To be：
tf-idfi=tfi×idfi
Wherein, idfiRepresent participle tiInverse document frequency, tfiRepresent participle tiIn the text envelope of the intended application software The frequency occurred in breath, tf-idfiRepresent participle tiTf-idf values in the text message of the intended application software.
And, according to the inverse document frequency of each participle and the word frequency in search term, each participle is calculated in search term In tf-idf values.Specifically, participle t is calculatediThe mode of tf-idf values in search term can be：
tf-idfi'=tfi′×idfi
Wherein, idfiRepresent participle tiInverse document frequency, tfi' represent participle tiThe frequency occurred in search term, tf- idfi' represent participle tiTf-idf values in search term.
Finally, tf-idf value of each participle in the text message of intended application software is calculated according to the method described above Afterwards, obtain to should intended application software tf-idf vector：
Tdf=(tf-idf1,tf-idf2,...,tf-idfi,...)
Wherein, tdf represents the tf-idf vectors of the intended application software.
And, go out according to the method described above described in calculating after tf-idf values of each participle in search term, obtain the search The tf-idf vectors of word：
Tdf '=(tf-idf1′,tf-idf2′,...,tf-idfi′,...)
Wherein, tdf ' represents the tf-idf vectors of the search term.
The first similarity of search term and intended application software is calculated further according to vectorial tdf and tdf ', it is specific to calculate Formula can be：
Sim=cos<tdf,tdf′>
That is, the first similarity is represented by the cosine value of the tf-idf vectors of the search term and intended application software.
The search term of input can be calculated with each being regarded in resource database 150 according to the method described in above-mentioned example First similarity of frequency.
Step S103, according to the user behavior for counting each application software in the obtained resource database 150 in advance Data, calculate the qualitative data of each application software.
In the present embodiment, the user behavior data of application software can be with averagely browsing the application software in preset period of time Number of users it is related to the number of users for averagely downloading the application software.Wherein, one before preset period of time can be current time Timing section, for example, it may be on N days before current time or hour, or the comfortable application software shop of the application software Line issue started to the current period.In addition, in the present embodiment, the number of users for averagely browsing the application software can refer to The number of users of the application software is averagely browsed daily or refers to the average number of users for browsing the application software per hour.Class As, the number of users that the number of users of the application software can refer to averagely download the application software daily is averagely downloaded, can also Refer to the average number of users for downloading the application software per hour.
Need exist for explanation, in the present embodiment, " browsing " application software mainly include user for example using See the application software on the displaying interface of software store, and click to enter and introduce the browser interface of application software and browsed Operation.By taking App Store as an example, in one example, as shown in figure 4, user is in the search box of App Store search interfaces Input is " after camera ", and displaying showing interface goes out search result (being only illustrative) as shown in Figure 5.With " camera therein Exemplified by 360 ", user can click on and " after the option of camera 360 ", enter introduction " camera as shown in Figure 6 on displaying interface The browser interface of 360 " essential informations, user may browse through that " recommended information of camera 360 ", this is once on the browser interface " browsing " operates.
As a kind of embodiment, calculating the mode of the qualitative data of each application software can be：
According to calculating formula：Calculate the qualitative data of each application software.Wherein, NumsumTable Show the number of users of the average exposure application software in preset period of time；numbrExpression averagely browses this using soft in preset period of time The number of users of part；numdlThe number of users of the application software is averagely downloaded in expression in preset period of time.
Explanation is needed exist for, above-mentioned " exposure " application software is mainly included in displaying circle in such as application software shop The application software is exposed to the operation of user's viewing on face.That is, in preset period of time the average exposure application software Number of users can refer to the number of users that the application software is averagely watched in preset period of time, such as it is average in preset period of time The number of users of the application software is watched daily, or averagely watches number of users of the application software, etc. per hour.
It is only a kind of calculation of the application software quality data above, in other embodiments mode, may be used also The qualitative data is calculated to add for reacting user to other user behavior datas of the application software.
Step S105, according to calculate in obtained resource database 150 each corresponding first similarity of application software and Qualitative data, generates the first search listing of search term.
In the present embodiment, first search listing generally includes at least one application software in resource database 150.
As a kind of embodiment, generating the process of first search listing can be：First according to first calculated Similarity is ranked up to the application software in resource database 150, for example, can be arranged according to the descending of the first similarity Sequence, obtains candidate search list；The application software in the candidate search list is sequentially divided into again it is multigroup, every group include it is first pre- If number application software；Then, the qualitative data of the first preset number application software in every group is calculated respectively, and according to The qualitative data calculated is ranked up to the first preset number application software, for example, carry out descending row according to qualitative data Row；Finally, the second preset number application software is selected to add in advance just in every group of the first preset number application software In the empty list of the one of beginningization, first search listing is obtained.Preferably, the application software that the first search listing includes can be with It is that qualitative data arranges the second forward preset number application software when being arranged according to descending.
In present embodiment, first preset number can be a default fixed numbers or be a default numerical value area Interior arbitrary value.For example, first preset number can be default fixed numbers 25, or it can be default numerical value area Between arbitrary value in [10,30].That is, when the application software in the above-mentioned list by candidate search is sequentially divided into multigroup, often The application software number that group includes can be with identical (such as being all 25), can also different (the application software numbers of such as each group Change between 10~30).As a preferred embodiment, first preset number generally is set as into a fixed value, during packet most The application software number of later group can be not enough to the first preset number.Second preset number and first preset number The ratio between can be predetermined ratio, such as arbitrary proportion between 0.6~0.8.
A specific example is given below, preferably to illustrate the process that first search listing is generated in the present embodiment, But can understand, the example is only illustrative.First preset number is set in this example as fixed numbers 15, Second preset number is set as 12, i.e. both ratios are 0.8.
Step S1, to all application software in resource database 150, the mode described in applying step S101 is calculated The search term of input and the first similarity of each application software.Extract the institute that correspondence similarity is more than preset value (such as larger than 0) There is application software, then carry out descending arrangement according to the first similarity, obtain candidate search list.
Step S2, the first preset number application software come above is taken out from the candidate search list, is calculated The qualitative data of the first preset number application software, is then arranged, most according to the descending again of the qualitative data calculated The second preset number application software that interception qualitative data comes above afterwards is added in the object listing initialized in advance. It is empty list when the object listing is initial.
Step S3, whether be empty, if being not sky if judging the candidate search list, return to step S2, if this when Select remaining application software number in search listing to be less than first preset number, can give tacit consent to and continue executing with, and adaptability Change the value of second preset number according to the predetermined ratio (being 0.8 in this example)；If the candidate search list For sky, then the current object listing is regard as first search listing.
,, can be according to when application software being added into the object listing every time as a kind of embodiment in this example Added successively from rear to preceding order in the object listing.
First search listing obtained in the present embodiment can directly as search term this searched search knot Fruit list returns to the electronic equipment 200, to show user by the electronic equipment 200.User can be in the search The application software for oneself wanting to browse or download is selected in the results list, because this search result has been considered using soft The qualitative data of part and the first similarity with search term, it is possible to preferably lift the download usage experience of user.
Referring to Fig. 7, being the flow chart of another application software search method provided in an embodiment of the present invention.As shown in fig. 7, Comprise the following steps in the method for the present embodiment：
Step S201, calculates the search term of input and the first similarity of each application software in resource database 150.
Step S203, according to the user behavior for counting each application software in the obtained resource database 150 in advance Data, calculate the qualitative data of each application software.
Step S205, it is corresponding first similar according to each application software in the obtained resource database 150 is calculated Degree and the qualitative data, generate the first search listing of the search term.
It is right in embodiment illustrated in fig. 3 that the specific implementation of step S201~step S205 in the present embodiment is referred to Step S101~step S105's elaborates, and will not be repeated here.
Step S207, the mesh matched according to the historical search data of the search term, in advance statistics acquisition with the search term Mark application software.
In the present embodiment, the intended application software matched with the search term can refer to, be somebody's turn to do according in preset period of time The historical search feedback data of search term, statistics whether have more than half user search for after the search term selection download it is same Application software, if so, so the application software is the intended application software matched with the search term.It is appreciated that described Preset period of time can be the period of random length, such as when can be that application software shop is distributed to current time from reaching the standard grade Section, or period etc. at current time is searched to from the search term for the first time.
Step S209, calculates each application software and the second of the intended application software in the resource database 150 Similarity.
As a kind of embodiment, second similarity can refer to collaborative filtering Jaccard similitudes.Correspondingly, The mode of each application software and the second similarity of intended application software in computing resource database 150 can be：
According to calculating formula：
Calculate each application software and the similarity of the intended application software in the resource database 150.Wherein, i tables Show any application software in resource database 150, a represents the intended application software；Sima,iRepresent application software i and mesh Mark application software a the second similarity；UserInstallediRepresent resource database 150 all users (for example, or Say, all users in application software shop) in be mounted with application software i user's subset；UserInstalledaRepresent resource Intended application software a user's subset is mounted with all users of database 150；TiApplication software i tag set is represented, TaRepresent application software a tag set.
The tag set of above-mentioned application software refers to the one of the mark application software type for example stamped by hand by operation The set of individual or multiple labels.For example, the corresponding tag set of application software " wechat " can be { social, communication }.
Step S211, according to the second similarity and the use of each application software of installation for calculating obtained each application software Amount amount, calculates the sequence index of each application software.
, can be according to calculating formula as a kind of embodiment：
Calculate the sequence index of each application software.Wherein, OriRepresent any application software i in resource database 150 Sort index；I represents the set of all application software in resource database 150；avgj∈I(Sima,j) represent resource database 150 In corresponding second similarity of all application software average value；|NumUserInstalledi| represent application software i installation The number of users of user；avgj∈I(|NumUserInstalledj|) represent resource database 150 in all application software peace Fill the average value of the number of users of user；α, β are default weight parameters, and both of which is more than 0, and and is 1.
Step S213, sorts according to the sequence index to the application software in the resource database 150, generation second Search listing.
As a kind of embodiment, to all application software in resource database 150, entered according to the descending of sequence index Row sequence, generates the second search listing.
Step S215, with reference to first search listing and second search listing, generates the search term current Search result list.
In the present embodiment, generating the search term by first search listing and the second search listing, this is searched Search result list can be realized by following steps S01-S03.
Step S01, initializes an object listing, and the object listing is initially empty list.
Step S02, application software is added into the object listing.
Wherein, the step of application software is added into the object listing is included from first search listing in order (for example from front to back) obtains the 3rd preset number application software and added in the object listing, and is searched for from described second (for example from front to back) the 4th preset number application software is obtained in list in order to add in the object listing.
3rd preset number and the 4th preset number are according to the equipment for showing the search result list The application software total number that often screen can be shown is preset.For example, the 3rd preset number can be set as every screen can The 30% of the application software total number of display, it is total that the 4th preset number can be set as the application software that every screen can show The 70% of number.Assuming that the electronic equipment 200, which often shields, can show 6 application software, then the 3rd preset number can be set It is set to 2, the 4th preset number can be set as 4.
Step S03, judges whether first search listing and second search listing are empty.
If the first search listing, the second search listing are not sky, return to above-mentioned added into the object listing and apply The step of software, i.e. step S02.
If it is sky to occur one in the first search listing, the second search listing, by the search listing of another non-NULL Remaining all application software are added in above-mentioned object listing.
If the first search listing, the second search listing are all sky, the current object listing is regard as the search term Current search result list and output.
A specific example is given below, first search listing and second are passed through preferably to illustrate in the present embodiment Search listing generates the process of this searched search result list of the search term.It is understood that this example is only shown Meaning property.
Step S001, initializes an object listing, is sky when the object listing is initial.
Step S002, judges whether application software number is more than or equal to the 3rd present count in first search listing Mesh, if being more than or equal to, takes the 3rd preset number application software come in first search listing above to be added to described In object listing, if being less than, all application software in first search listing are added in the object listing together；Again Judge whether application software number is more than or equal to the 4th preset number in second search listing, if being more than or equal to, The 4th preset number application software come in second search listing above is taken to be added in the object listing, if small In then all application software in second search listing are added in the object listing together.
Whether step S003, judge first search listing and second search listing all for sky.If all skies, Then it regard object listing output as this search result list of the search term；If one of them is sky, will be another After remaining all application software in the search listing of individual non-NULL are added in the object listing together, then by the object listing It is used as this search result list output of the search term；If being not both sky, above-mentioned steps S002 is returned.
In this example, application software is taken out from first search listing and the second search listing to the object listing Can be added successively from rear to preceding order according in the object listing during middle addition.
Step S217, the current search result list of the search term is sent to the electronic equipment 200 and is shown.
The application software searching method provided in the present embodiment, had both considered in resource database 150 and has each applied soft The qualitative data of part and the first similarity with search term, it is contemplated that each application software is with going through in resource database 150 Second similarity of the intended application software matched in history search with the search term, passes through this synthesis, comprehensive way of search Obtained search result list, the search experience and follow-up that can lift user browses or downloaded usage experience.
Referring to Fig. 8, being a kind of functional block diagram of application software searcher 110 provided in an embodiment of the present invention. Application software searcher 110 includes the first similarity calculation module 1102, the search row of qualitative data computing module 1104, first Table generation module 1106, intended application software acquisition module 1108, the second similarity calculation module 1110, sequence index calculate mould Block 1112, the second search listing generation module 1114, search result list generation module 1116.
It is each in first similarity calculation module 1102, the search term and resource database 150 for calculating input First similarity of application software.First similarity calculation module 1102 can be used for perform Fig. 3 shown in step S101 and Step S201 shown in Fig. 7, specific operating method is referred to above-mentioned elaborate step S101.
The qualitative data computing module 1104, counts every in the obtained resource database 150 in advance for basis The user behavior data of individual application software, calculates the qualitative data of each application software.The qualitative data computing module 1104 can For performing the step S203 shown in the step S103 and Fig. 7 shown in Fig. 3, specific operating method is referred to above-mentioned right Step S103's elaborates.
The first search listing generation module 1106, for every in the obtained resource database 150 according to calculating Individual corresponding first similarity of application software and the qualitative data, generate the first search listing of the search term, and described the One search listing includes at least one application software in the resource database 150.The first search listing generation module 1106 can be used for performing the step S205 shown in the step S105 and Fig. 7 shown in Fig. 3, and specific operating method is referred to It is above-mentioned that step S105 is elaborated.
The intended application software acquisition module 1108, for the historical search data according to the search term, unites in advance Meter obtains the intended application software matched with the search term.The intended application software acquisition module 1108 can be used for performing in Fig. 7 Shown step S207, specific operating method is referred to above-mentioned elaborate step S207.
Second similarity calculation module 1110, for calculate in the resource database 150 each application software with Second similarity of the intended application software.Second similarity calculation module 1110 can be used for performing the step shown in Fig. 7 Rapid S209, specific operating method is referred to above-mentioned elaborate step S209.
The sequence index computing module 1112, for according to the second similarity for calculating obtained each application software and The number of users of each application software is installed, the sequence index of each application software is calculated.The sequence index computing module 1112 Available for the step S211 performed shown in Fig. 7, specific operating method is referred to above-mentioned elaborate step S211.
The second search listing generation module 1114, for according to it is described sequence index to the resource database 150 In application software sequence, generate the second search listing.The second search listing generation module 1114 can be used for performing institute in Fig. 7 The step S213 shown, specific operating method is referred to above-mentioned elaborate step S213.
The search result list generation module 1116, for reference to first search listing and the second search row Table, generates the current search result list of the search term.The search result list generation module 1116 can be used for performing in Fig. 7 Shown step S215, specific operating method is referred to above-mentioned elaborate step S215.
Each module can be that now, above-mentioned each module can be stored in the storage of server by software code realization above In device.Each module can equally be realized by hardware such as IC chip above.
It should be noted that each embodiment in this specification is described by the way of progressive, each embodiment weight Point explanation be all between difference with other embodiment, each embodiment identical similar part mutually referring to.
The technique effect of the application software searcher 110 that the embodiment of the present invention is provided, its realization principle and generation and Preceding method embodiment is identical, to briefly describe, and device embodiment part does not refer to part, refers in preceding method embodiment Corresponding contents.
In several embodiments provided herein, it should be understood that disclosed apparatus and method, it can also pass through Other modes are realized.Device embodiment described above is only schematical, for example, flow chart and block diagram in accompanying drawing Show according to the device of multiple embodiments of the present invention, the architectural framework in the cards of method and computer program product, Function and operation.At this point, each square frame in flow chart or block diagram can represent the one of a module, program segment or code Part a, part for the module, program segment or code is used to realize holding for defined logic function comprising one or more Row instruction.It should also be noted that in some implementations as replacement, the function of being marked in square frame can also with different from The order marked in accompanying drawing occurs.For example, two continuous square frames can essentially be performed substantially in parallel, they are sometimes It can perform in the opposite order, this is depending on involved function.It is also noted that every in block diagram and/or flow chart The combination of individual square frame and block diagram and/or the square frame in flow chart, can use the special base for performing defined function or action Realize, or can be realized with the combination of specialized hardware and computer instruction in the system of hardware.
In addition, each functional module in each embodiment of the invention can integrate to form an independent portion Point or modules individualism, can also two or more modules be integrated to form an independent part.
If the function is realized using in the form of software function module and is used as independent production marketing or in use, can be with It is stored in a computer read/write memory medium.Understood based on such, technical scheme is substantially in other words The part contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter Calculation machine software product is stored in a storage medium, including some instructions are to cause a computer equipment (can be individual People's computer, server, or network equipment etc.) perform all or part of step of each of the invention embodiment methods described. And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage, random access memory, magnetic disc or CD etc. are each Planting can be with the medium of store program codes.It should be noted that herein, such as first and second or the like relational terms It is used merely to make a distinction an entity or operation with another entity or operation, and not necessarily requires or imply these There is any this actual relation or order between entity or operation.Moreover, term " comprising ", "comprising" or its is any Other variants are intended to including for nonexcludability, so that process, method, article or equipment including a series of key elements Not only include those key elements, but also other key elements including being not expressly set out, or also include being this process, side Method, article or the intrinsic key element of equipment.In the absence of more restrictions, limited by sentence "including a ..." Key element, it is not excluded that also there is other identical element in the process including the key element, method, article or equipment.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, should all be contained Cover within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.

Claims (25)

1. a kind of application software searching method, it is characterised in that this method includes：
Calculate the first similarity of each application software in the search term and resource database of input；
The user behavior data of each application software in the resource database obtained according to counting in advance, calculates each application The qualitative data of software；
Each corresponding first similarity of application software and the qualitative data in the resource database obtained according to calculating, The first search listing of the search term is generated, first search listing should including at least one in the resource database Use software.
2. application software searching method according to claim 1, it is characterised in that the user behavior number of each application software It is described according to the number of users that the application software is averagely browsed in preset period of time and the number of users for averagely downloading the application software is included in The user behavior data of each application software in the resource database obtained according to counting in advance, calculates each application software Qualitative data the step of, including：
According to calculating formula：The qualitative data of each application software is calculated, wherein, NumsumRepresent The number of users of the average exposure application software, num in the preset period of timebrExpression averagely browses this in the preset period of time should With the number of users of software, numdlThe number of users of the application software is averagely downloaded in expression in the preset period of time.
3. application software searching method according to claim 1 or 2, it is characterised in that the institute obtained according to calculating Each corresponding first similarity of application software and the qualitative data in resource database are stated, generate the search term first is searched The step of Suo Liebiao, including：
Initialize an object listing；
The application software in the resource database is ranked up according to first similarity, candidate search list is obtained；
Application software in the candidate search list is sequentially divided into it is multigroup, every group include the first preset number application it is soft Part；
According to the qualitative data of each application software in every group, the first preset number application software in every group is arranged Sequence；
Select the second preset number application software to add in the object listing according to the result of above-mentioned sequence in each group, obtain To first search listing.
4. application software searching method according to claim 3, it is characterised in that first preset number is one default Numerical value is the arbitrary value in a default numerical intervals, and the ratio between second preset number and first preset number are pre- Certainty ratio.
5. application software searching method according to claim 1, it is characterised in that in the resource obtained according to calculating Each corresponding first similarity of application software and the qualitative data, generate the first search listing of the search term in database The step of after, this method also includes：
The intended application software matched according to the historical search data of the search term, in advance statistics acquisition with the search term；
Calculate each application software and the second similarity of the intended application software in the resource database；
Second similarity of each application software obtained according to calculating and the number of users for installing each application software, are calculated every The sequence index of individual application software；
The application software in the resource database is sorted according to the sequence index, the second search listing is generated；
With reference to first search listing and second search listing, the current search result list of the search term is generated.
6. application software searching method according to claim 5, it is characterised in that in the calculating resource database The step of each application software and the second similarity of the intended application software, including：
According to calculating formula：
<mrow> <msub> <mi>Sim</mi> <mrow> <mi>a</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mfrac> <mrow> <mo>|</mo> <msub> <mi>UserInstalled</mi> <mi>i</mi> </msub> <mo>&amp;cap;</mo> <msub> <mi>UserInstalled</mi> <mi>a</mi> </msub> <mo>|</mo> </mrow> <mrow> <mo>|</mo> <msub> <mi>UserInstalled</mi> <mi>i</mi> </msub> <mo>&amp;cup;</mo> <msub> <mi>UserInstalled</mi> <mi>a</mi> </msub> <mo>|</mo> </mrow> </mfrac> <mo>,</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> <mo>&amp;cap;</mo> <msub> <mi>T</mi> <mi>a</mi> </msub> <mo>&amp;NotEqual;</mo> <mi>&amp;Phi;</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> <mo>&amp;cap;</mo> <msub> <mi>T</mi> <mi>a</mi> </msub> <mo>=</mo> <mi>&amp;Phi;</mi> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
Each application software and the similarity of the intended application software in the resource database are calculated, wherein, i represents described Any application software in resource database, a represents the intended application software, Sima,iRepresent application software i and intended application Software a the second similarity, UserInstallediApplication software i is mounted with all users for representing the resource database User's subset, UserInstalledaIt is mounted with intended application software a's in all users for representing the resource database User's subset, TiRepresent application software i tag set, TaRepresent intended application software a tag set.
7. application software searching method according to claim 6, it is characterised in that described each according to what calculating was obtained With the second similarity and the number of users of each application software of installation of software, the step of the sequence index of each application software is calculated Suddenly, including：
According to calculating formula：
<mrow> <msub> <mi>Or</mi> <mi>i</mi> </msub> <mo>=</mo> <mi>&amp;alpha;</mi> <mfrac> <mrow> <msub> <mi>Sim</mi> <mrow> <mi>a</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> </mrow> <mrow> <msub> <mi>avg</mi> <mrow> <mi>j</mi> <mo>&amp;Element;</mo> <mi>I</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>Sim</mi> <mrow> <mi>a</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>+</mo> <mi>&amp;beta;</mi> <mfrac> <mrow> <mo>|</mo> <msub> <mi>NumUserInstalled</mi> <mi>i</mi> </msub> <mo>|</mo> </mrow> <mrow> <msub> <mi>avg</mi> <mrow> <mi>j</mi> <mo>&amp;Element;</mo> <mi>I</mi> </mrow> </msub> <mrow> <mo>(</mo> <mo>|</mo> <msub> <mi>NumUserInstalled</mi> <mi>j</mi> </msub> <mo>|</mo> <mo>)</mo> </mrow> </mrow> </mfrac> </mrow>
The sequence index of each application software is calculated, wherein, OriRepresent that the sequence of any application software i in resource database refers to Mark, I represents the set of all application software in the resource database, avgj∈I(Sima,j) represent institute in the resource database There is the average value of corresponding second similarity of application software, | NumUserInstalledi| represent application software i installation The number of users of user, avgj∈I(|NumUserInstalledj|) represent the peaces of all application software in the resource database The average value of the number of users of user is filled, α, β are default weight parameters.
8. application software searching method according to claim 5, it is characterised in that first search listing with reference to described in With second search listing, the step of generating the search term current search result list, including：
Initialize an object listing；
Application software is added into the object listing；Wherein, the step of application software is added into the object listing is included from institute State and obtain the 3rd preset number application software in the first search listing in order and add in the object listing, and from described The 4th preset number application software is obtained in second search listing in order to add in the object listing, the described 3rd presets Number and the 4th preset number are soft according to the application that can be shown for showing the equipment of the search result list often to shield Number of packages mesh is preset；
Judge whether first search listing and second search listing are empty；
If the first search listing, the second search listing are not sky, return and above-mentioned add application software into the object listing The step of；
, will be remaining in the search listing of another non-NULL if it is sky to occur one in the first search listing, the second search listing All application software be added in above-mentioned object listing；
If the first search listing, the second search listing are all sky, and the current object listing is current as the search term Search result list and output.
9. application software searching method according to claim 1, it is characterised in that the search term and money of the calculating input In source database the step of the first similarity of each application software, including：
Obtain the target text information of description either objective application software；
Participle is carried out to the target text information and the search term, and calculates each participle believing in the target text The word frequency occurred in breath, the search term；
The corresponding text message of all application software in the resource database, calculates the inverse document of each participle Frequency；
The word frequency and the inverse document frequency of each participle occurred according to each participle in the target text information Rate, calculates the first eigenvector for obtaining the intended application software；
The word frequency and the inverse document frequency of each participle occurred according to each participle in the search term, is calculated Obtain the second feature vector of the search term；
The cosine value of the angle of the first eigenvector and second feature vector is calculated, the cosine value represents the search First similarity of word and the intended application software.
10. a kind of application software searcher, it is characterised in that the device includes：
First similarity calculation module, search term and the first phase of each application software in resource database for calculating input Like degree；
Qualitative data computing module, for according to the user for counting each application software in the obtained resource database in advance Behavioral data, calculates the qualitative data of each application software；
First search listing generation module, for corresponding according to each application software in the obtained resource database is calculated First similarity and the qualitative data, generate the first search listing of the search term, and first search listing includes institute State at least one application software in resource database.
11. application software searcher according to claim 10, it is characterised in that the user behavior of each application software Data are included in the number of users that the application software is averagely browsed in preset period of time and the number of users for averagely downloading the application software, institute State the user behavior number of each application software in the resource database that qualitative data computing module is obtained according to counting in advance According to, the mode of the qualitative data of each application software is calculated, including：
According to calculating formula：The qualitative data of each application software is calculated, wherein, NumsumRepresent The number of users of the average exposure application software, num in the preset period of timebrExpression averagely browses this in the preset period of time should With the number of users of software, numdlThe number of users of the application software is averagely downloaded in expression in the preset period of time.
12. the application software searcher according to claim 10 or 11, it is characterised in that the first search listing life Each corresponding first similarity of application software and the mass number in the resource database obtained into module according to calculating According to, the mode of the first search listing of the search term is generated, including：
Initialize an object listing；
The application software in the resource database is ranked up according to first similarity, candidate search list is obtained；
Application software in the candidate search list is sequentially divided into it is multigroup, every group include the first preset number application it is soft Part；
According to the qualitative data of each application software in every group, the first preset number application software in every group is arranged Sequence；
Select the second preset number application software to add in the object listing according to the result of above-mentioned sequence in each group, obtain To first search listing.
13. application software searcher according to claim 12, it is characterised in that first preset number is one pre- If numerical value is the arbitrary value in a default numerical intervals, the ratio between second preset number and described first preset number are Predetermined ratio.
14. application software searcher according to claim 10, it is characterised in that the application software searcher is also wrapped Include：
Intended application software acquisition module, for the historical search data according to the search term, statistics is obtained and searched with this in advance The intended application software of rope word matching；
Second similarity calculation module, for calculating each application software and the intended application software in the resource database The second similarity；
Sort index computing module, for according to the second similarity for calculating obtained each application software and each application of installation The number of users of software, calculates the sequence index of each application software；
Second search listing generation module, for being arranged according to the sequence index the application software in the resource database Sequence, generates the second search listing；
Search result list generation module, for reference to first search listing and second search listing, generation to be described The current search result list of search term.
15. application software searcher according to claim 14, it is characterised in that second similarity calculation module The mode of each application software and the second similarity of the intended application software in the resource database is calculated, including：
According to calculating formula：
<mrow> <msub> <mi>Sim</mi> <mrow> <mi>a</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mfrac> <mrow> <mo>|</mo> <msub> <mi>UserInstalled</mi> <mi>i</mi> </msub> <mo>&amp;cap;</mo> <msub> <mi>UserInstalled</mi> <mi>a</mi> </msub> <mo>|</mo> </mrow> <mrow> <mo>|</mo> <msub> <mi>UserInstalled</mi> <mi>i</mi> </msub> <mo>&amp;cup;</mo> <msub> <mi>UserInstalled</mi> <mi>a</mi> </msub> <mo>|</mo> </mrow> </mfrac> <mo>,</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> <mo>&amp;cap;</mo> <msub> <mi>T</mi> <mi>a</mi> </msub> <mo>&amp;NotEqual;</mo> <mi>&amp;Phi;</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> <mo>&amp;cap;</mo> <msub> <mi>T</mi> <mi>a</mi> </msub> <mo>=</mo> <mi>&amp;Phi;</mi> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
Each application software and the similarity of the intended application software in the resource database are calculated, wherein, i represents the money Any application software in source database, a represents the intended application software, Sima,iRepresent that application software i and intended application are soft Part a the second similarity, UserInstallediIt is mounted with application software i's in all users for representing the resource database User's subset, UserInstalledaIntended application software a use is mounted with all users for representing the resource database Family subset, TiRepresent application software i tag set, TaRepresent intended application software a tag set.
16. application software searcher according to claim 15, it is characterised in that the sequence index computing module root Second similarity of each application software obtained according to calculating and the number of users for installing each application software, calculate each application The mode of the sequence index of software, including：
According to calculating formula：
<mrow> <msub> <mi>Or</mi> <mi>i</mi> </msub> <mo>=</mo> <mi>&amp;alpha;</mi> <mfrac> <mrow> <msub> <mi>Sim</mi> <mrow> <mi>a</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> </mrow> <mrow> <msub> <mi>avg</mi> <mrow> <mi>j</mi> <mo>&amp;Element;</mo> <mi>I</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>Sim</mi> <mrow> <mi>a</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>+</mo> <mi>&amp;beta;</mi> <mfrac> <mrow> <mo>|</mo> <msub> <mi>NumUserInstalled</mi> <mi>i</mi> </msub> <mo>|</mo> </mrow> <mrow> <msub> <mi>avg</mi> <mrow> <mi>j</mi> <mo>&amp;Element;</mo> <mi>I</mi> </mrow> </msub> <mrow> <mo>(</mo> <mo>|</mo> <msub> <mi>NumUserInstalled</mi> <mi>j</mi> </msub> <mo>|</mo> <mo>)</mo> </mrow> </mrow> </mfrac> </mrow>
The sequence index of each application software is calculated, wherein, OriRepresent that the sequence of any application software i in resource database refers to Mark, I represents the set of all application software in the resource database, avgj∈I(Sima,j) represent institute in the resource database There is the average value of corresponding second similarity of application software, | NumUserInstalledi| represent application software i installation The number of users of user, avgj∈I(|NumUserInstalledj|) represent the peaces of all application software in the resource database The average value of the number of users of user is filled, α, β are default weight parameters.
17. application software searcher according to claim 14, it is characterised in that the search result list generates mould Agllutination closes first search listing and second search listing, generates the side of the current search result list of the search term Formula, including：
Initialize an object listing；
Application software is added into the object listing；Wherein, the step of application software is added into the object listing is included from institute State and obtain the 3rd preset number application software in the first search listing in order and add in the object listing, and from described The 4th preset number application software is obtained in second search listing in order to add in the object listing, the described 3rd presets Number and the 4th preset number are soft according to the application that can be shown for showing the equipment of the search result list often to shield Number of packages mesh is preset；
Judge whether first search listing and second search listing are empty；
If the first search listing, the second search listing are not sky, return and above-mentioned add application software into the object listing The step of；
, will be remaining in the search listing of another non-NULL if it is sky to occur one in the first search listing, the second search listing All application software be added in above-mentioned object listing；
If the first search listing, the second search listing are all sky, and the current object listing is current as the search term Search result list and output.
18. application software searcher according to claim 10, it is characterised in that first similarity calculation module The mode of the first similarity of each application software in the search term and resource database of input is calculated, including：
Obtain the target text information of description either objective application software；
Participle is carried out to the target text information and the search term, and calculates each participle believing in the target text The word frequency occurred in breath, the search term；
The corresponding text message of all application software in the resource database, calculates the inverse document frequency of each participle Rate；
The word frequency and the inverse document frequency of each participle occurred according to each participle in the target text information, is calculated To the first eigenvector of the intended application software；
The word frequency and the inverse document frequency of each participle occurred according to each participle in the search term, calculating obtains described The second feature vector of search term；
The cosine value of the angle of the first eigenvector and second feature vector is calculated, the cosine value represents the search First similarity of word and the intended application software.
19. a kind of server, it is characterised in that the server includes：
Memory；
Processor；And
Application software searcher, the application software searcher is installed in the memory and including one or more by institute The software function module of computing device is stated, the application software searcher includes：
First similarity calculation module, search term and the first phase of each application software in resource database for calculating input Like degree；
Qualitative data computing module, for according to the user for counting each application software in the obtained resource database in advance Behavioral data, calculates the qualitative data of each application software；
First search listing generation module, for corresponding according to each application software in the obtained resource database is calculated First similarity and the qualitative data, generate the first search listing of the search term, and first search listing includes institute State at least one application software in resource database.
20. server according to claim 19, it is characterised in that the user behavior data of each application software is included in The number of users of the application software is averagely browsed in preset period of time and the number of users of the application software, the qualitative data is averagely downloaded The user behavior data of each application software in the resource database that computing module is obtained according to counting in advance, calculates each The mode of the qualitative data of application software, including：
According to calculating formula：The qualitative data of each application software is calculated, wherein, NumsumRepresent The number of users of the average exposure application software, num in the preset period of timebrExpression averagely browses this in the preset period of time should With the number of users of software, numdlThe number of users of the application software is averagely downloaded in expression in the preset period of time.
21. the server according to claim 19 or 20, it is characterised in that the first search listing generation module according to Each corresponding first similarity of application software and the qualitative data in the obtained resource database are calculated, generation is described The mode of first search listing of search term, including：
Initialize an object listing；
The application software in the resource database is ranked up according to first similarity, candidate search list is obtained；
Application software in the candidate search list is sequentially divided into it is multigroup, every group include the first preset number application it is soft Part；
According to the qualitative data of each application software in every group, the first preset number application software in every group is arranged Sequence；
Select the second preset number application software to add in the object listing according to the result of above-mentioned sequence in each group, obtain To first search listing.
22. server according to claim 19, it is characterised in that the application software searcher also includes：
Intended application software acquisition module, for the historical search data according to the search term, statistics is obtained and searched with this in advance The intended application software of rope word matching；
Second similarity calculation module, for calculating each application software and the intended application software in the resource database The second similarity；
Sort index computing module, for according to the second similarity for calculating obtained each application software and each application of installation The number of users of software, calculates the sequence index of each application software；
Second search listing generation module, for being arranged according to the sequence index the application software in the resource database Sequence, generates the second search listing；
Search result list generation module, for reference to first search listing and second search listing, generation to be described The current search result list of search term.
23. server according to claim 22, it is characterised in that second similarity calculation module calculates the money The mode of each application software and the second similarity of the intended application software in source database, including：
According to calculating formula：
<mrow> <msub> <mi>Sim</mi> <mrow> <mi>a</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mfrac> <mrow> <mo>|</mo> <msub> <mi>UserInstalled</mi> <mi>i</mi> </msub> <mo>&amp;cap;</mo> <msub> <mi>UserInstalled</mi> <mi>a</mi> </msub> <mo>|</mo> </mrow> <mrow> <mo>|</mo> <msub> <mi>UserInstalled</mi> <mi>i</mi> </msub> <mo>&amp;cup;</mo> <msub> <mi>UserInstalled</mi> <mi>a</mi> </msub> <mo>|</mo> </mrow> </mfrac> <mo>,</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> <mo>&amp;cap;</mo> <msub> <mi>T</mi> <mi>a</mi> </msub> <mo>&amp;NotEqual;</mo> <mi>&amp;Phi;</mi> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> <mo>&amp;cap;</mo> <msub> <mi>T</mi> <mi>a</mi> </msub> <mo>=</mo> <mi>&amp;Phi;</mi> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
Each application software and the similarity of the intended application software in the resource database are calculated, wherein, i represents the money Any application software in source database, a represents the intended application software, Sima,iRepresent that application software i and intended application are soft Part a the second similarity, UserInstallediIt is mounted with application software i's in all users for representing the resource database User's subset, UserInstalledaIntended application software a use is mounted with all users for representing the resource database Family subset, TiRepresent application software i tag set, TaRepresent intended application software a tag set.
24. server according to claim 23, it is characterised in that the sequence index computing module is obtained according to calculating Each application software the second similarity and the number of users of each application software is installed, calculate the sequence of each application software The mode of index, including：
According to calculating formula：
<mrow> <msub> <mi>Or</mi> <mi>i</mi> </msub> <mo>=</mo> <mi>&amp;alpha;</mi> <mfrac> <mrow> <msub> <mi>Sim</mi> <mrow> <mi>a</mi> <mo>,</mo> <mi>i</mi> </mrow> </msub> </mrow> <mrow> <msub> <mi>avg</mi> <mrow> <mi>j</mi> <mo>&amp;Element;</mo> <mi>I</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>Sim</mi> <mrow> <mi>a</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>+</mo> <mi>&amp;beta;</mi> <mfrac> <mrow> <mo>|</mo> <msub> <mi>NumUserInstalled</mi> <mi>i</mi> </msub> <mo>|</mo> </mrow> <mrow> <msub> <mi>avg</mi> <mrow> <mi>j</mi> <mo>&amp;Element;</mo> <mi>I</mi> </mrow> </msub> <mrow> <mo>(</mo> <mo>|</mo> <msub> <mi>NumUserInstalled</mi> <mi>j</mi> </msub> <mo>|</mo> <mo>)</mo> </mrow> </mrow> </mfrac> </mrow>
The sequence index of each application software is calculated, wherein, OriRepresent that the sequence of any application software i in resource database refers to Mark, I represents the set of all application software in the resource database, avgj∈I(Sima,j) represent institute in the resource database There is the average value of corresponding second similarity of application software, | NumUserInstalledi| represent application software i installation The number of users of user, avgj∈I(|NumUserInstalledj|) represent the peaces of all application software in the resource database The average value of the number of users of user is filled, α, β are default weight parameters.
25. server according to claim 23, it is characterised in that the search result list generation module is with reference to described First search listing and second search listing, generate the mode of the current search result list of the search term, including：
Initialize an object listing；
Application software is added into the object listing；Wherein, the step of application software is added into the object listing is included from institute State and obtain the 3rd preset number application software in the first search listing in order and add in the object listing, and from described The 4th preset number application software is obtained in second search listing in order to add in the object listing, the described 3rd presets Number and the 4th preset number are soft according to the application that can be shown for showing the equipment of the search result list often to shield Number of packages mesh is preset；
Judge whether first search listing and second search listing are empty；
If the first search listing, the second search listing are not sky, return and above-mentioned add application software into the object listing The step of；
, will be remaining in the search listing of another non-NULL if it is sky to occur one in the first search listing, the second search listing All application software be added in above-mentioned object listing；
If the first search listing, the second search listing are all sky, and the current object listing is current as the search term Search result list and output.
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