CN107798100A - A kind of collocation method using recommendation information - Google Patents
A kind of collocation method using recommendation information Download PDFInfo
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- CN107798100A CN107798100A CN201711032808.8A CN201711032808A CN107798100A CN 107798100 A CN107798100 A CN 107798100A CN 201711032808 A CN201711032808 A CN 201711032808A CN 107798100 A CN107798100 A CN 107798100A
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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
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
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Abstract
The present embodiments relate to a kind of collocation method using recommendation information, including：First server obtains the corresponding searched number data of application message, download time data and is clicked number data；Generate the first recommended parameter of application message；According to the first recommended parameter, the application message of the first predetermined number is obtained, and is added in the first recommendation list；The recommended parameter of the application message in multiple second servers is obtained, generates the second recommended parameter of application message；The application message of the second predetermined number is obtained, and is added in the second recommendation list；The selection information that user terminal is sent is received, the 3rd recommended parameter of application message is generated according to the corresponding label information of selection information and application message；According to the 3rd recommended parameter, the application message of the 3rd predetermined number is obtained, and is added in the 3rd recommendation list；Application is generated according to the first recommendation list, the second recommendation list and the 3rd recommendation list and recommends interface.
Description
Technical field
The present invention relates to data processing field, more particularly to a kind of collocation method using recommendation information.
Background technology
The prevalence of mobile Internet, various service APP are more and more provided and downloaded in the mobile phone of people.By using
APP softwares, can solve the problems, such as different type in life, the life for enriching the sparetime can be entertained, becoming can not in life
The instrument lacked.
Existing application market is classified by the functional category of application software to application, but due to APP quantity by
Cumulative more, this mode classification can not meet the requirement of user.Also, for each user, existing application
The application class method that market provides is all identical, does not provide the user software lookup service targetedly, causes to exist in user
The substantial amounts of time is wasted when searching application software.
The content of the invention
The purpose of the present invention is the defects of being directed to prior art, there is provided a kind of collocation method using recommendation information, it is corresponding
Rationally effective configuration is carried out with the recommendation of information, and can be that user recommends corresponding application according to the demand of each user
Information, user is showed by the application message needed for user is efficient and convenient, save user and judge to use the software function time.
In view of this, the embodiments of the invention provide a kind of collocation method using recommendation information, including：
First server obtains the corresponding searched number data of application message, download time data and is clicked number
Data；
Number data, download time data are searched according to corresponding to the application message and are clicked the life of number data
Into the first recommended parameter of the application message；
According to first recommended parameter, the application message of the first predetermined number is obtained, and is added to the first recommendation list
In；
The recommended parameter of the application message in multiple second servers is obtained, according in the multiple second server
The recommended parameter of application message generates the second recommended parameter of the application message；
According to second recommended parameter, the application message of the second predetermined number is obtained, and is added to the second recommendation list
In；
The selection information that user terminal is sent is received, according to the corresponding label of the selection information and the application message
Information generates the 3rd recommended parameter of the application message；Wherein, the selection information includes multiple label informations；
According to the 3rd recommended parameter, the application message of the 3rd predetermined number is obtained, and is added to the 3rd recommendation list
In；
Application is generated according to first recommendation list, the second recommendation list and the 3rd recommendation list and recommends interface.
Preferably, methods described also includes；
First recommendation list, the second recommendation list and the 3rd recommendation list are updated according to prefixed time interval.
Preferably, methods described also includes：
The first server, which obtains, shows configuration parameter, and first present count is determined according to the display configuration parameter
Amount, the second predetermined number and the 3rd predetermined number.
Preferably, it is described be searched according to corresponding to the application message number data, download time data and by
Before number of clicks data generate the first recommended parameter of the application message, methods described also includes：
The first server configures the searched number data of the application message, download time data and is clicked time
The weighted data of number data.
It is further preferred that described be searched number data, download time data according to corresponding to the application message
It is specially with the first recommended parameter for being clicked number data and generating the application message：
The first server be searched according to corresponding to the application message number data, download time data and by
Number of clicks data and the searched number data, download time data and it is clicked the corresponding weight number of number data
According to generating the first recommended parameter of the application message.
Preferably, the application letter is generated in the recommended parameter of the application message in multiple second servers
Before second recommended parameter of breath, methods described also includes：
Combined data is recommended in the application that the first server obtains multiple second servers；Total amount is recommended in the application
According to including application message and corresponding recommended parameter；
According to the application message, the application of the multiple second server is called to recommend quilt corresponding in combined data
Recommended parameter.
Preferably, before the selection information that the reception user terminal is sent, methods described also includes：
The first server configures the label information of the application message.
It is further preferred that described generate institute according to the corresponding label information of the selection information and the application message
The 3rd recommended parameter for stating application message is specially：
The first server by the corresponding label information of the application message with it is described selection information in multiple marks
Label information is matched, and obtains matching result data；
The 3rd recommended parameter of the application message is generated according to the matching result data.
A kind of collocation method using recommendation information provided in an embodiment of the present invention, it is reasonable that the recommendation to application message is carried out
Effective configuration, and can be that user recommends corresponding application message according to the demand of each user, by answering needed for user
User is conveniently showed with information fast, user is saved and judges to use the software function time.
Brief description of the drawings
Fig. 1 is a kind of collocation method flow chart using recommendation information provided in an embodiment of the present invention.
Embodiment
Below by drawings and examples, technical scheme is described in further detail.
A kind of collocation method using recommendation information that the present embodiment provides, recommend applied to application in download server,
Can be that user reasonably recommends application message.
Fig. 1 is a kind of collocation method flow chart using recommendation information provided in an embodiment of the present invention, as shown in figure 1, bag
Include：
Step 101, first server obtain the corresponding searched number data of application message, download time data and by
Number of clicks data；
Wherein, first server refers to the server for providing application message and downloading mode, it is understood that is one
Application market.Store the application message of all applications in first server, application message include using ID, Apply Names,
Using information such as introduction and download link addresses.
Specifically, first server is called is clicked number using downloading data list, application searches data list and application
According to the data in list, in application searches data list each application using ID and corresponding searched number, application
Downloading data list include each application using ID and corresponding download time, wrapped using being clicked in data list
Include each application using ID and corresponding be clicked number.
Before step 101, method also includes the searched number data of each application of first server statistic record, downloaded
Number data and it is clicked number data.
Specifically, when user carries out application searches, user terminal receives the application searches information of user's input, and generates
Inquiry request is sent to first server；Wherein, can include applying ID in application searches information；First server parses user
The inquiry request that terminal is sent, obtain the application ID that user searches for application；First server is according to application ID in application searches
Corresponding searched number data are found in data list, and update searched number data.
Meanwhile first server obtains the information such as corresponding application introduction and download link address according to application ID and sent out
User terminal is given, after user terminal is downloaded according to download link address to software, first server calls application to download
Data list, and obtained in application downloading data list and apply download time data corresponding to ID, and update download time number
According to.
In a specific application, user searches for " iqiyi.com " in the search column of application interface, first server according to
" iqiyi.com " finds corresponding searched number in application searches data list, and adds 1 on this number, so as to update
Using the searched number of " iqiyi.com "；First server obtains application " iqiyi.com " introduction and download link address etc. simultaneously
Information is sent to user terminal, is checked for user, and user determines to be downloaded operation after downloading on the subscriber terminal, downloads and completes
Afterwards, first server searches the download time of application " iqiyi.com " in application downloading data list, and adds 1 on this number,
So as to update the download time of application " iqiyi.com ".
User clicks on the application for wanting to check when browse application recommends interface, and first server obtains application and is clicked
Data list, and be clicked in application in data list and the application corresponding using ID acquisitions of application is clicked on by point according to user
Number is hit, and on this number plus 1, so as to which update application is clicked number.
Step 102, number data, download time data are searched according to corresponding to application message and are clicked number number
According to the first recommended parameter of generation application message；
Recommend to apply in order to more rationalize, more accurately to user, first server can be according to searching for, download, check
Between importance configuration application message searched number data, download time data and the weight number for being clicked number data
According to, number data, download time data are then searched according to corresponding to application message and be clicked number data and by
Searching times data, download time data and the corresponding weighted data of number data is clicked, generates the first of application message
Recommended parameter.With it is single according to search for, download, check number ranking to user recommend compared with, the first recommended parameter can be more
Tool rationalization, the state for more accurately embodying application, so as to more rationally and accurately be carried out to user using recommendation.
In a specific example, the corresponding weighted data of searched number data is set as 25%, download time
The corresponding weighted data of data is 65%, and it is 10% to be clicked the corresponding weighted data of number data, the quilt of some application
Searching times are x, download time y, and it is z to be clicked number, then the first recommended parameter corresponding to the application is 25%x+65%y
+ 10%z.
Step 103, according to the first recommended parameter, the application message of the first predetermined number is obtained, and is added to the first recommendation
In list；
Specifically, first server calculates the first recommended parameter each applied, and the height of the first recommended parameter is entered
Row ranking, the application message of the first predetermined number ranking is obtained, is added in the first recommendation list.
Step 104, the recommended parameter of the application message in multiple second servers is obtained, according to multiple second servers
In application message recommended parameter generation application message the second recommended parameter；
Wherein, multiple second servers refer to the server of other application market class, and its purposes is also to recommend to answer for user
With combined data is recommended in the corresponding application of each second server, recommends combined data to store the second server in application
In all recommendations application using ID and corresponding recommended parameter, wherein recommended parameter can be being pushed away for application
Recommend number.
Therefore, method also includes before step 104：First server obtains multiple second servers by data-interface
Application recommend combined data；Include application message and corresponding recommended parameter using combined data is recommended；According to should
ID is applied with information, calls the application of multiple second servers to recommend recommended parameter corresponding in combined data.
First server is entered to each application using corresponding recommended parameters of the ID in multiple second servers
Row Data Integration handles to obtain the second recommended parameter.
Step 105, according to the second recommended parameter, the application message of the second predetermined number is obtained, and is added to the second recommendation
In list；
Specifically, first server carries out ranking to the height of the second recommended parameter, the application of the second predetermined number is obtained
Information, and be added in the second recommendation list, multiple recommendation indexes using shop are thus stored in the second recommendation list most
High several applications, extensive market survey basis is provided for the recommendation of application, so that the application recommended more meets market
Demand, meet user's needs.
Step 106, the selection information that user terminal is sent is received, according to the corresponding label of selection information and application message
Information generates the 3rd recommended parameter of application message；
Wherein, selection information includes multiple label informations, and label information is that first server is pre-configured with, and one should
With that can correspond to multiple label informations, label information can be " amusement ", " game ", " video ", " study ", " motion ", " medical treatment
Health ", " chat is social ", " utility ", " fashionable shopping ", " travelling traffic ", " living at home ", " finance and money management ", " efficiency
Office " etc..
In a preferred embodiment, label information can also have grade, can specifically be divided into one-level label according to grade
With two level label, one-level label can correspond to multiple two level labels, for example two level label corresponding to one-level label " game " can be with
For " unit ", " networking ", " leisure ", " intelligence development ", " card ", " role " etc..The grade classification setting of label can help to use
Family quickly finds required application, saves query time.
Specifically, user terminal receives user creates instruction in the classification that user interface inputs, first server is sent to；
First server creates instruction calls classification establishment interface display data according to classification and is sent to user terminal；User terminal generates
Classification creates interface display interface；User terminal receives the selection information that user creates the input of interface display interface in classification, and
First server is sent to, selects information to include multiple label informations that user wants to look up, can specifically be included on multiple
State one-level label and two level label；First server is by the corresponding label information of application message with selecting multiple marks in information
Label information is matched, and obtains matching result data, and matching result data are specifically as follows the corresponding label letter of application message
Cease the quantity matched with multiple label informations in selection information；Generate application message according to matching result data the 3rd recommends
Parameter.
Step 107, according to the 3rd recommended parameter, the application message of the 3rd predetermined number is obtained, and is added to the 3rd recommendation
In list；
Specifically, first server calculates the 3rd recommended parameter each applied, and the height of the 3rd recommended parameter is entered
Row ranking, the application message of the 3rd predetermined number ranking is obtained, is added in the 3rd recommendation list.Thus, label information is passed through
Matched to obtain the 3rd recommends the several applications for storing in list and most being matched with user's request, so as to meet different user
Demand, help user to quickly find required application, save query time.
Step 108, application is generated according to the first recommendation list, the second recommendation list and the 3rd recommendation list and recommends interface.
Specifically, the data in the first recommendation list, the second recommendation list and the 3rd recommendation list are called, should so as to generate
With interface is recommended, so recommend to show according to searched number data, download time data and be clicked on interface in application
The application that number data are recommended, according to multiple applications using shop be recommended the application recommended of number and according to
The application that user's request is recommended, so as to which more rationally, more accurately configuration application is recommended, save user and judge to use
The software function time.
It should be noted that the number of applications in the first recommendation list, the second recommendation list and the 3rd recommendation list, also
It is that the first predetermined number, the second predetermined number and the 3rd predetermined number are to recommend the display configuration parameter at interface to determine according to application
, specifically, first server obtains the display configuration ginseng of the first recommendation list, the second recommendation list and the 3rd recommendation list
Number, the first predetermined number, the second predetermined number and the 3rd predetermined number are determined according to display configuration parameter.That is, according to
Using the size for recommending the first recommendation list, the second recommendation list and the 3rd recommendation list viewing area in interface, setting should
With it is recommended that quantity, the application recommended amount of the big display in viewing area are more.Wherein, display configuration parameter can corresponding to each table
To be that first server is set, further, in order to meet the needs of user, the display configuration parameter can also be that user exists
What user terminal was set.
In order to ensure the real-time effectiveness of data, first server according to prefixed time interval update the first recommendation list,
Data in second recommendation list and the 3rd recommendation list, the prefixed time interval of different recommendation lists can be with identical, can also not
Together, time interval is set by first server, such as 1 day or two days, one week etc., so that user is more accurately applied
Recommendation information.
A kind of collocation method using recommendation information provided in an embodiment of the present invention, it is reasonable that the recommendation to application message is carried out
Effective configuration, and can be that user recommends corresponding application message according to the demand of each user, by answering needed for user
User is conveniently showed with information fast, user is saved and judges to use the software function time.
Professional should further appreciate that, each example described with reference to the embodiments described herein
Unit and algorithm steps, it can be realized with electronic hardware, computer software or the combination of the two, it is hard in order to clearly demonstrate
The interchangeability of part and software, the composition and step of each example are generally described according to function in the above description.
These functions are performed with hardware or software mode actually, application-specific and design constraint depending on technical scheme.
Professional and technical personnel can realize described function using distinct methods to each specific application, but this realization
It is it is not considered that beyond the scope of this invention.
The method that is described with reference to the embodiments described herein can use hardware, computing device the step of algorithm
Software module, or the two combination are implemented.Software module can be placed in random access memory (RAM), internal memory, read-only storage
(ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In any other form of storage medium well known to interior.
Above-described embodiment, the purpose of the present invention, technical scheme and beneficial effect are carried out further
Describe in detail, should be understood that the embodiment that the foregoing is only the present invention, be not intended to limit the present invention
Protection domain, within the spirit and principles of the invention, any modification, equivalent substitution and improvements done etc., all should include
Within protection scope of the present invention.
Claims (8)
1. a kind of collocation method using recommendation information, it is characterised in that methods described includes：
First server obtains the corresponding searched number data of application message, download time data and is clicked number number
According to；
Number data, download time data are searched according to corresponding to the application message and are clicked number data generation institute
State the first recommended parameter of application message；
According to first recommended parameter, the application message of the first predetermined number is obtained, and is added in the first recommendation list；
The recommended parameter of the application message in multiple second servers is obtained, according to the application in the multiple second server
The recommended parameter of information generates the second recommended parameter of the application message；
According to second recommended parameter, the application message of the second predetermined number is obtained, and is added in the second recommendation list；
The selection information that user terminal is sent is received, according to the corresponding label information of the selection information and the application message
Generate the 3rd recommended parameter of the application message；Wherein, the selection information includes multiple label informations；
According to the 3rd recommended parameter, the application message of the 3rd predetermined number is obtained, and is added in the 3rd recommendation list；
Application is generated according to first recommendation list, the second recommendation list and the 3rd recommendation list and recommends interface.
2. the collocation method according to claim 1 using recommendation information, it is characterised in that methods described also includes；
First recommendation list, the second recommendation list and the 3rd recommendation list are updated according to prefixed time interval.
3. the collocation method according to claim 1 using recommendation information, it is characterised in that methods described also includes：
The first server, which obtains, shows configuration parameter, according to the display configuration parameter determine first predetermined number,
Second predetermined number and the 3rd predetermined number.
4. the collocation method according to claim 1 using recommendation information, it is characterised in that described according to the application
The corresponding searched number data of information, download time data and it is clicked number data generate the application message first
Before recommended parameter, methods described also includes：
The first server configures the searched number data of the application message, download time data and is clicked number number
According to weighted data.
5. the collocation method according to claim 4 using recommendation information, it is characterised in that described to be believed according to the application
The corresponding searched number data of breath, download time data and it is clicked number data and generates the first of the application message and push away
Recommending parameter is specially：
The first server is searched number data, download time data and is clicked according to corresponding to the application message
Number data and the searched number data, download time data and the corresponding weighted data of number data is clicked,
Generate the first recommended parameter of the application message.
6. the collocation method according to claim 1 using recommendation information, it is characterised in that described according to multiple second
Before the recommended parameter of application message in server generates the second recommended parameter of the application message, methods described is also wrapped
Include：
Combined data is recommended in the application that the first server obtains multiple second servers；The application is recommended in combined data
Including application message and corresponding recommended parameter；
According to the application message, the application of the multiple second server is called to recommend corresponding in combined data be recommended
Parameter.
7. the collocation method according to claim 1 using recommendation information, it is characterised in that in the reception user terminal
Before the selection information of transmission, methods described also includes：
The first server configures the label information of the application message.
8. the collocation method according to claim 7 using recommendation information, it is characterised in that described to be believed according to the selection
Breath and the 3rd recommended parameter of the corresponding label information generation application message of the application message are specially：
The first server believes the corresponding label information of the application message and multiple labels in the selection information
Breath is matched, and obtains matching result data；
The 3rd recommended parameter of the application message is generated according to the matching result data.
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