CN108334613A - Real-time arrangement method, computing device and storage medium based on mass users data - Google Patents
Real-time arrangement method, computing device and storage medium based on mass users data Download PDFInfo
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The invention discloses a kind of real-time arrangement method, computing device and storage medium based on mass users data, this method includes：According to user identifier user in real ranking dimension data；The corresponding default ranking gear data of user's ranking dimension data are searched in ranking dimension data statistical form；Wherein, ranking dimension data statistical form record has the correspondence of each default ranking gear data and number of users；Statistics presets the total amount of the corresponding number of users of ranking gear data more than the whole of the corresponding default ranking gear data of user's ranking dimension data；User's ranking is determined according to the total amount of number of users.Method provided by the invention can quickly and accurately obtain real-time ranking information of the user in mass users data according to user's ranking dimension data of acquisition, and user is effectively met on the basis of based on mass users data to the higher real-time of ranking information and accuracy requirement.
Description
Technical field
The present invention relates to technical field of data processing, and in particular to a kind of real-time ranking side based on mass users data
Method, computing device and storage medium.
Background technology
Currently, in the types of applications of internet, often to the accumulative carry out ranking of the relevant information of user, such as transport
Walking step number that can be accumulative daily to user in dynamic class application carries out ranking, reads the amount of reading that can add up to user in class application
Or it reads duration and carries out ranking etc..Above-mentioned ranking can be achieved by corresponding rank algorithm.
But in existing rank algorithm, the ranking of user be all carried out within the fixed update cycle statistics and more
Newly, for example, the ranking of user every other day or one week statistics and update it is primary, user can only be by checking that the set time updates
Ranking information obtain the latest rank of oneself, this meeting for wanting to obtain the user of oneself real-time ranking information at any time
Inconvenience is caused, user experience is reduced；Meanwhile current ranking is also only for user's (example in certain range
Such as only in circle of friends user or only for the good friend of user) carry out ranking, can not accurately obtain user in application
Accurate ranking location information in mass users data, to which the ranking that user obtains self information in wider scope can not be made fixed
Position information.
It can be seen that the popularity that current rank algorithm is positioned in ranking real-time, the accuracy of ranking and ranking
On have greater limitations, cannot be satisfied user to the higher real-time of ranking and accuracy requirement.
Invention content
In view of the above problems, it is proposed that the present invention overcoming the above problem in order to provide one kind or solves at least partly
State real-time arrangement method, computing device and the storage medium based on mass users data of problem.
According to an aspect of the invention, there is provided a kind of real-time arrangement method based on mass users data comprising：
According to user identifier user in real ranking dimension data；User's ranking number of dimensions is searched in ranking dimension data statistical form
According to corresponding default ranking gear data；Wherein, ranking dimension data statistical form record has each default ranking gear data and uses
The correspondence of amount；Statistics presets ranking shelves more than the whole of the corresponding default ranking gear data of user's ranking dimension data
The total amount of the corresponding number of users of position data；User's ranking is determined according to the total amount of number of users.
According to another aspect of the present invention, a kind of computing device is provided, including：Processor, memory, communication interface and
Communication bus, processor, memory and communication interface complete mutual communication by communication bus；Memory is for storing extremely
A few executable instruction, executable instruction make processor execute following operation：It is tieed up according to user identifier user in real ranking
Degrees of data；The corresponding default ranking gear data of user's ranking dimension data are searched in ranking dimension data statistical form；Wherein,
Ranking dimension data statistical form records the correspondence for having each default ranking gear data and number of users；Statistics is more than user's ranking
The whole of the corresponding default ranking gear data of dimension data presets the total amount of the corresponding number of users of ranking gear data；According to
The total amount of amount determines user's ranking.
According to another aspect of the invention, a kind of computer storage media is provided, at least one is stored in storage medium
Executable instruction, executable instruction make processor execute following operation：According to user identifier user in real ranking number of dimensions
According to；The corresponding default ranking gear data of user's ranking dimension data are searched in ranking dimension data statistical form；Wherein, ranking
Dimension data statistical form records the correspondence for having each default ranking gear data and number of users；Statistics is more than user's ranking dimension
The whole of the corresponding default ranking gear data of data presets the total amount of the corresponding number of users of ranking gear data；According to number of users
Total amount determine user's ranking.
In real-time arrangement method, computing device and storage medium provided by the invention based on mass users data, energy
Enough according to user identifier user in real ranking dimension data, and user's ranking dimension is searched in ranking dimension data statistical form
The corresponding default ranking gear data of degrees of data, wherein ranking dimension data statistical form record has each default ranking gear data
With the correspondence of number of users, then statistics is all pre- more than the corresponding default ranking gear data of user's ranking dimension data
If the total amount of the corresponding number of users of ranking gear data, finally determines user's ranking according to the total amount of number of users.It can be seen that this
The method that invention provides can quickly and accurately obtain user in mass users number according to user's ranking dimension data of acquisition
The real-time ranking information in effectively meets user to ranking information higher reality on the basis of based on mass users data
When property and accuracy requirement.
Above description is only the general introduction of technical solution of the present invention, in order to better understand the technical means of the present invention,
And can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, below the special specific implementation mode for lifting the present invention.
Description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit are common for this field
Technical staff will become clear.Attached drawing only for the purpose of illustrating preferred embodiments, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings：
Fig. 1 shows the flow chart of the real-time arrangement method based on mass users data of one embodiment of the invention；
Fig. 2 shows the flow charts of the real-time arrangement method based on mass users data of another embodiment of the present invention；
Fig. 3 shows a kind of structural schematic diagram of computing device provided in an embodiment of the present invention.
Specific implementation mode
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Completely it is communicated to those skilled in the art.
Fig. 1 shows the flow chart of the real-time arrangement method based on mass users data of one embodiment of the invention.Such as
Shown in Fig. 1, this approach includes the following steps：
Step S101：According to user identifier user in real ranking dimension data.
Wherein, user identifier can be the similar mark letter for capableing of unique mark user identity such as User ID, user name
Breath.User's ranking dimension data is the corresponding data for waiting for rank objects of user.User's ranking dimension data has real-time,
Real-time variation can be carried out according to the corelation behaviour information of user.It is answered for example, user's ranking dimension data can be movement class
The user's walking step count data or reading class added up in user's amount of reading accumulative in applying (such as read chapter number, page
Number) the similar data for generating real-time variation such as data or reading duration data.Specifically, real-time according to user identifier
It, can the foundation pair between the user identifier of each user and user's ranking dimension data in advance when obtaining user's ranking dimension data
Should be related to, such as corresponding mapping relations can be established between user identifier and user's ranking dimension data, then according to
Family identifies and above-mentioned correspondence obtains user's ranking dimension data corresponding with user identifier in real time.
Step S102：The corresponding default ranking gear of user's ranking dimension data is searched in ranking dimension data statistical form
Data.
Ranking dimension data statistical form records the correspondence for having each default ranking gear data and number of users.Wherein, in advance
If ranking gear data can be right for user's ranking dimension data in application is divided and set according to preset rules
The multiple ranking gear data that should be obtained.For example, default ranking gear data can be pre- according to ranking dimension data statistical form
If period relevant table or relevant table of non-default period are divided and are set to user's ranking dimension data in application
It is fixed, it is incremented by successively or successively either can also to be divided and be set otherwise multiple size of data to obtain
The default ranking gear data successively decreased.In specific implementation, ranking gear data are preset in ranking dimension data statistical form of the present invention
Specific setting means be not construed as limiting.By taking default ranking gear data are time datas as an example, if there are two adjacent default rows
Name gear data are 1 minute and 2 minutes, for default ranking gear data 1 minute, substantially it is corresponding include 1 point 01 seconds, 1
Divide 02 seconds ... all time datas in 1 point of equal -2 minutes 1 minute 0 59 seconds period (above-mentioned 1 minute -2 in specific implementation
The granularity of time data in minute can also be segmented further, such as segment to millisecond etc., but all data are all corresponding
In default ranking gear data 1 minute).Meanwhile also record has and each default ranking gear number in ranking dimension data statistical form
According to corresponding number of users, by counting the active user ranking dimension data of each user terminal, according to active user ranking dimension
The number of users of corresponding default ranking gear data in data update ranking dimension data statistical form.
In specific implementation, the setting of ranking dimension data statistical form can be as shown in table 1-1.Wherein, ranking shown in table 1-1
3 default ranking gear data are provided in dimension data statistical form, and (in specific implementation, the quantity for presetting ranking gear data can
To be set according to actual needs, this is not limited by the present invention), it is respectively data 1, number according to sequence from big to small
According to 2 and data 3.1 corresponding number of users of data is c0,2 corresponding number of users of data is b0,3 corresponding number of users of data is
a0。
Table 1-1 ranking dimension data statistical forms
| Default ranking gear data | Number of users |
| Data 1 | c0 |
| Data 2 | b0 |
| Data 3 | a0 |
In this step, according to the user's ranking dimension data obtained in step S101, in ranking dimension data statistical form
It is middle to search default ranking gear data corresponding with user's ranking dimension data.If for example, data 1 shown in above-mentioned table 1-1
It it is 3 minutes, data 2 are 2 minutes, and data 3 are 1 minute, (i.e. 1 point of 1 ＇ of user's ranking dimension data, 13 〞 obtained in step S101
Clock 13 seconds), then search default ranking gear data corresponding with 1 ＇, 13 〞 1 minute, i.e. data 3.
Step S103：Statistics presets ranking more than the whole of the corresponding default ranking gear data of user's ranking dimension data
The total amount of the corresponding number of users of gear data.
Specifically, the whole for being more than the corresponding default ranking gear data of user's ranking dimension data presets ranking gear number
Corresponding default ranking gear data according to i.e. ranking prior to user's ranking dimension data, the use of these default ranking gear data
The ranking at family also corresponds to the user prior to the user's ranking dimension data obtained in step S101.With content shown in above-mentioned table 1-1
For, if the corresponding default ranking gear data of user's ranking dimension data of some the user A obtained in step S101 are number
According to 2, then all users corresponding to 1 corresponding number of users c0 of data in ranking necessarily prior to the user A；If in step S101
The corresponding default ranking gear data of user's ranking dimension data of some the user B obtained are data 3, then data 1 are corresponding
All users corresponding to 2 corresponding number of users b0 of number of users c0 and data are in ranking necessarily prior to user B.Herein,
The row of all users corresponding to being located at the number of users of identical default ranking gear data with user's ranking dimension data of user
Name can be regarded as arranged side by side with the user.
Therefore, in this step, by statistics more than the corresponding default ranking gear data of user's ranking dimension data
All the total amounts of the corresponding number of users of default ranking gear data determine the ranking prior to user's ranking for being obtained in step S101
The total amount of the number of users of the user of dimension data.
Step S104：User's ranking is determined according to the total amount of number of users.
The total amount of above-mentioned number of users is the corresponding use come before the user's ranking dimension data obtained in step S101
Amount, then the ranking of user corresponding with above-mentioned user's ranking dimension data is inevitable after the total amount of above-mentioned number of users, therefore
1 is added to be used as user's ranking the total amount of above-mentioned number of users.
Due to obtaining user's ranking dimension data and above-mentioned ranking dimension data system according to user identifier in step S101
The number of users of each default ranking gear data is all real-time update in meter table, and the number of users of each default ranking gear data
All it is accurate, therefore the total amount of the number of users as obtained by statistics in step S103 is with very high real-time and accurately
Property, user's ranking is determined according to the total amount of the number of users of statistics gained in above-mentioned steps S103 in this step, can preferably be expired
Requirement of real-time of the sufficient user to ranking.
It can be seen that in the real-time arrangement method provided by the invention based on mass users data, it can be according to user
User in real ranking dimension data is identified, and searches user's ranking dimension data in ranking dimension data statistical form and corresponds to
Default ranking gear data, wherein ranking dimension data statistical form record has each default ranking gear data and number of users
Correspondence, then statistics is more than the default ranking gear of the whole of the corresponding default ranking gear data of user's ranking dimension data
The total amount of the corresponding number of users of data, finally determines user's ranking according to the total amount of number of users.Therefore, method provided by the invention
User's real-time ranking in mass users data can be quickly and accurately obtained according to user's ranking dimension data of acquisition
Information is effectively met user on the basis of based on mass users data and is wanted to the real-time and accuracy of ranking information
It asks.
Fig. 2 shows a kind of flows of the real-time arrangement method based on mass users data provided by Embodiment 2 of the present invention
Figure.Wherein, it combines to read in class application in the present embodiment and the present invention is provided for for the accumulative reading duration ranking of user
Real-time arrangement method be described in detail.As shown in Fig. 2, this approach includes the following steps：
Step S201：Count the active user ranking dimension data of each user terminal.
Wherein, user's ranking dimension data is the corresponding data for waiting for rank objects of user.User's ranking dimension data has
There is real-time, real-time variation can be carried out according to the corelation behaviour information of user.
In the present embodiment, user's ranking dimension data is specifically as follows the accumulative reading duration of user's reading electronic book.
Therefore when counting the active user ranking dimension data of each user terminal, the user for specially counting each user terminal reads electricity
The corresponding accumulative reading duration of the philosophical works.For example, 20 minutes a length of when the accumulative reading of some user's end subscriber reading electronic book
When, then the active user ranking dimension data for counting the user terminal is 20 minutes.
Step S202：Corresponding default row in ranking dimension data statistical form is updated according to active user ranking dimension data
The number of users of name gear data.
Wherein, ranking dimension data statistical form record has the correspondence of each default ranking gear data and number of users.On
It can be the relevant table of predetermined period or non-default week according to ranking dimension data statistical form to state each default ranking gear data
Phase relevant table sets to correspond to.Wherein, if ranking dimension data statistical form is the relevant table of predetermined period, i.e. the real-time ranking
Method is specially to count user's ranking in predetermined period.For example, predetermined period is one week, real-time arrangement method is exactly to count
User's ranking in this week.In this case, in ranking dimension data statistical form each default ranking gear data according to predetermined period
And it is fixedly installed.Specifically, the time in a cycle can be divided according to preset time granularity, determines a cycle
Interior included default ranking gear data, with reference to shown in table 1-2.
Table 1-2
It is accumulative to read duration ranking dimension data statistical form (update cycle is 1 week)
As shown in table 1-2, specifically, when user's ranking dimension data is the corresponding accumulative reading of user's reading electronic book
Long, ranking dimension data statistical form is the relevant table of predetermined period, and predetermined period is 1 week, according to 1 minute stroke in table 1-2
Gradation degree determines that the accumulative reading total duration that user is capable of reading electronic book in 1 week is 10080 minutes (1 week=10080 minutes),
Simultaneously accumulative reading duration is corresponded to divide according to above-mentioned granularity of division and be obtained 10080 minutes, 10079 minutes, 10078 minutes ...
2 minutes, 1 minute, 0 minute (corresponding table 1-2 in 10080min, 10079min, 10078min ... 2min, 1min, 0min) altogether
10081 default ranking gear data.Wherein, the data preset between ranking gear data successively decrease and sort successively, meanwhile, often
A default ranking gear data also correspond to a continuous data area.For example, 1 minute default ranking gear number is according to substantially
Corresponding to all time datas in -2 minutes 1 minute, similarly, other each default ranking gear data similarly correspond to and connect
Continuous data area, details are not described herein again.
Also record has number of users corresponding with each default ranking gear data in ranking dimension data statistical form, according to real-time
User's ranking dimension data updates the number of users of corresponding default ranking gear data in ranking dimension data statistical form.With table 1-
For 2, ranking dimension gear data are preset 0 minute, 1 minute, 10078 minutes, 10079 minutes and 10080 minutes 2 minutes ...
Corresponding number of users is respectively a1, b1, c1 ... d1, e1 and f1.Wherein, if ranking dimension data statistical form is predetermined period phase
The table of pass, then the corresponding number of users of each default ranking gear data be periodically zeroed out.For example, predetermined period is 1 week, then
The corresponding number of users of each default ranking gear data was zeroed out every 1 week in ranking dimension data statistical form.In specific implementation,
In each application for presetting the corresponding with good grounds real-time statistics of number of users of ranking dimension gear data ranking dimension is preset with this
The number of users of the corresponding whole user's ranking dimension data of gear data corresponds to obtain.
For example, when counting the corresponding number of users of each default ranking dimension gear data, it is assumed that whole users in application
Quantity is 100, there is 20 user rows in user's ranking dimension data of whole users in the application sometime obtained in real time
Name dimension data is 1 minute, 20 user's ranking dimension datas are 5 minutes, 10 user's ranking dimension datas are 8 minutes, 30
A user's ranking dimension data is 10 minutes, 45 user's ranking dimension datas are 11 minutes, 5 user's ranking dimension datas are
15 minutes, then ranking dimension data statistical form record with default ranking gear data 1 minute, 5 minutes, 8 minutes, 10 minutes,
11 minutes, 15 minutes corresponding numbers of users be respectively：20,20,10,30,45,5, the user of remaining default ranking gear data
Number is 0, and specific statistical result is as shown in table 1-3.Wherein, the unshowned default ranking gear data pair omitted in table 1-3
The number of users answered is 0.
Table 1-3
It is accumulative to read duration ranking dimension data statistical form (update cycle is 1 week)
The corresponding default ranking gear in updating ranking dimension data statistical form according to active user ranking dimension data
When the number of users of data, detailed process can be：Monitoring default ranking gear corresponding with active user ranking dimension data
Whether data by the first default ranking gear data rise to the second default ranking gear data；If so, automatically pre- by first
If the number of users of ranking gear data carries out subtracting 1 operation；The number of users of second default ranking gear data is carried out plus 1 operates.
Wherein, the first default ranking gear data and the second default ranking gear data can be adjacent default ranking shelves
Position data, therefore the update operation that pair number of users corresponding with default ranking gear data executes can be in adjacent default ranking
It is carried out between gear data.
By taking ranking dimension data statistical form shown in table 1-3 as an example, if at a time monitor the accumulative reading of user A
A length of 15 points 0 30 seconds, then user A this moment reading electronic book the corresponding default ranking gear data of accumulative reading duration be 15
Minute, the corresponding number of users of default ranking gear data where user A is 5 people；When subsequent time monitors that user A reads electricity
When the accumulative reading duration of the philosophical works changed into 16 minutes (or any moment in 16 minutes to 17 minutes) by 0 30 seconds 15 minutes,
Then the corresponding default ranking gear data of user A rose to 16 minutes (i.e. by 15 minutes (the i.e. first default ranking gear data)
Second default ranking gear data), then at this time automatically by the corresponding number of users execution of the default ranking gear data 15 minutes behaviour that subtracts 1
Make, it is 4 people to be preset ranking gear 15 minutes numbers of users of data at this time, while default ranking gear data 16 minutes are right
The number of users answered executes plus 1 operation, preset ranking gear data at this time 16 minutes at this time corresponding number of users be that 1 people is (pre-
If 16 minutes original numbers of users of ranking gear data are that 0), specific variation can refer to table 1-4.Similarly, other each adjacent
The renewal process of the number of users of default ranking gear data is similar with the above process, and details are not described herein again.
Table 1-4
It is accumulative to read duration ranking dimension data statistical form (update cycle is 1 week)
In another optional mode, the first default ranking gear data can be with the second default ranking gear data
Non-adjacent default ranking gear data, therefore the update operation that pair number of users corresponding with default ranking gear data executes can
To be carried out between non-adjacent default ranking gear data.
By taking ranking dimension data statistical form shown in table 1-3 as an example, if at a time monitor the accumulative reading of user B
A length of 10 points 0 40 seconds, then user B this moment reading electronic book the corresponding default ranking gear data of accumulative reading duration be 10
Minute, the corresponding number of users of default ranking gear data where user B is 30 people, when subsequent time monitors that user B is read
The accumulative reading duration of e-book was changed into 15 minutes (or any moment in 15 minutes to 16 minutes) by 0 40 seconds 10 minutes
When, then the corresponding default ranking gear data of user B were risen to 15 minutes by 10 minutes (the i.e. first default ranking gear data)
(the i.e. second default ranking gear data) then at this time automatically subtract the corresponding number of users execution in 10 minutes of default ranking gear data
1 operation, it is 29 people to be preset ranking gear 10 minutes numbers of users of data at this time, while default ranking gear data 15 being divided
The corresponding number of users of clock executes plus 1 operation, preset ranking gear data at this time 15 minutes at this time corresponding number of users be 6
People, specific variation can refer to table 1-5.Wherein, presetting ranking gear data 10 minutes with default ranking gear data 15 minutes is
Non-adjacent default ranking gear data.Similarly, the update of the number of users of other each non-adjacent default ranking gear data
Process is similar with the above process, and details are not described herein again.
Table 1-5
It is accumulative to read duration ranking dimension data statistical form (update cycle is 1 week)
If ranking dimension data statistical form is the relevant table of non-predetermined period, i.e., the real-time arrangement method is specially and counts to use
Family adds up ranking.In this case, each default ranking gear data according to the user's ranking dimension data obtained in real time and
Dynamic setting.For example, according to the continuous renewal of user's ranking dimension data, then correspondence increases in ranking dimension data statistical form
Default ranking gear data, etc..
For example, if ranking dimension data statistical form is the statistical form of the accumulative reading duration of user's reading electronic book, tire out
The granularity of division of timing length is 1h (1 hour).If maximum user in user's ranking dimension data of a certain moment real-time statistics
Ranking dimension data is the data of any moment (not including 5h) in 4h-5h, such as 4.6h, then ranking dimension data is united at this time
Count setting and the corresponding number of users reference table 2-1 of each default ranking gear data of the default ranking gear data of table；Under if
Only has 1 user's ranking dimension data in one moment real-time statistics to application in whole user's ranking dimension datas by 4h-5h
In any moment risen to 5h (or any moment in 5h-6h), it is assumed that user's ranking dimension data of other users is not
Change, then at this time in ranking dimension data statistical form increase newly with above-mentioned user's ranking dimension data 5h (or in 5h-6h appoint
One moment) corresponding default ranking gear data 5h.Accordingly, right when handling the number of users of each default ranking gear data
Operation that the number of users execution of default ranking gear data 4h subtracts 1, while the number of users for presetting ranking gear data 5h is executed and adds 1
Operation (number of users original default ranking gear data 5h is 0, executes and changes into f2, f2=1 after adding 1 operation), it is specific to become
Change with reference to table 2-2.
Table 2-1
Ranking dimension data statistical form (non-default period ASSOCIATE STATISTICS)
Table 2-2
Ranking dimension data statistical form (non-default period ASSOCIATE STATISTICS)
Step S203：According to user identifier user in real ranking dimension data.
Wherein, user identifier can be the similar mark letter for capableing of unique mark user identity such as User ID, user name
Breath.Wherein, according to user identifier come the triggering mode of user in real ranking dimension data can there are many.For example, one
In kind optional mode, user identifier may be embodied in the ranking inquiry request of user's transmission, when receiving user's transmission
It, can be according to the user identifier user in real ranking number of dimensions for including in above-mentioned ranking inquiry request when ranking inquiry request
According to；Alternatively, in another optional mode, it can also be according to preset acquisition period and time timing according to user identifier reality
When obtain user's ranking dimension data, if such as preset acquisitions period and time are daily 12:00, then when daily monitor be
The system time is 12:When 00, user's ranking dimension data (above-mentioned acquisition period and the time this moment is obtained in real time according to user identifier
It can be the period and time set in default in advance, such as daily 12:00；Can also be to be obtained from the preset setting page
The user taken is according to oneself custom and needs to be arranged corresponding period and time etc., the present invention to above-mentioned acquisition period and time not
It is construed as limiting)；Alternatively, in another optional mode, user's rising in ranking dimension data statistical form can also be preset
The quantity of ranking gear data is monitored, when the quantity for the default ranking gear data that user rises is more than predetermined threshold value (root
It is set according to actual conditions, or acquisition user is corresponding according to oneself needing to be arranged from the preset setting page
Predetermined threshold value etc., the present invention are not construed as limiting predetermined threshold value size and setting means) when, then it is obtained in real time according to user identifier
User's ranking dimension data, to remind user's quantity that ranking rises at this time in time.Herein, it is to be noted that, it is above-mentioned listed
The optional mode lifted is only exemplary, in specific implementation, according to user identifier user in real ranking dimension data
Triggering mode includes but not limited to above-mentioned cited each optional mode.
Wherein, when according to user identifier user in real ranking dimension data, the use of each user can be pre-established
Family identifies the correspondence between user's ranking dimension data of each user, such as can be tieed up in user identifier and user's ranking
Corresponding mapping relations are established between degrees of data, then by according to user identifier and above-mentioned correspondence come in real time obtain with
The corresponding user's ranking dimension data of user identifier.
Step S204：The corresponding default ranking gear of user's ranking dimension data is searched in ranking dimension data statistical form
Data.
According to the user's ranking dimension data got in step S203, searches and be somebody's turn to do in ranking dimension data statistical form
The corresponding default ranking gear data of user's ranking dimension data.
By taking ranking dimension data statistical form shown in table 1-4 as an example, if the user's ranking dimension data obtained is 16 minutes,
Default ranking gear data corresponding with user's ranking dimension data 16 minutes are then searched in ranking dimension data statistical form, i.e.,
The default ranking gear data that default ranking gear data are 16 minutes.
Step S205：Statistics presets ranking more than the whole of the corresponding default ranking gear data of user's ranking dimension data
The total amount of the corresponding number of users of gear data.
Specifically, the whole for being more than the corresponding default ranking gear data of user's ranking dimension data presets ranking gear number
Corresponding default ranking gear data according to i.e. ranking prior to user's ranking dimension data, the use of these default ranking gear data
The ranking at family also corresponds to the user prior to the user's ranking dimension data obtained in S203.Therefore, in this step, pass through statistics
The whole of default ranking gear data corresponding more than user's ranking dimension data presets the corresponding number of users of ranking gear data
Total amount determine total amount of the ranking prior to the number of users of corresponding user's ranking dimension data of user.It, can in specific implementation
To preset the corresponding use of ranking gear data to the whole of default ranking gear data corresponding more than user's ranking dimension data
Amount carries out summation operation, obtains the total amount of corresponding number of users.
By taking ranking dimension data statistical form shown in table 1-4 as an example, if user's ranking dimension data be 10 points 0 15 seconds, it is right
The default ranking gear data answered are 10 minutes, then statistics is more than the default default ranking shelves of ranking gear 10 minutes wholes of data
The total amount of the corresponding number of users of position data is more than 10 minutes wholes and presets ranking gear data in -10080 minutes 11 minutes
The total amount of corresponding number of users 45,4,1 (number of users is 0 unlisted), i.e., 50.
Step S206：User's ranking is determined according to the total amount of number of users.
The total amount of above-mentioned number of users comes corresponding number of users before user's ranking dimension data, then the ranking of user is inevitable
After the total amount of above-mentioned number of users, therefore in the total amount according to number of users, the total amount of above-mentioned number of users is added 1 as user and is arranged
Name.
By taking above-mentioned example as an example, the total amount 50 of the number of users of acquisition plus 1 are obtained 51, user's ranking is used as by 51.
Due to obtaining user's ranking dimension data and above-mentioned ranking dimension data system according to user identifier in step S203
The number of users of each default ranking gear data is all real-time update in meter table, and the number of users of each default ranking gear data
All it is accurate, therefore the total amount of the number of users as obtained by statistics in step S205 is with very high real-time and accurately
Property, user's ranking is determined according to the total amount of the number of users of statistics gained in above-mentioned steps S205 in this step, can preferably be expired
Requirement of real-time of the sufficient user to ranking.
It can be seen that in the real-time arrangement method provided by the invention based on mass users data, it can be according to user
User in real ranking dimension data is identified, and searches user's ranking dimension data in ranking dimension data statistical form and corresponds to
Default ranking gear data, wherein ranking dimension data statistical form record has each default ranking gear data and number of users
Correspondence, then statistics is more than the default ranking gear of the whole of the corresponding default ranking gear data of user's ranking dimension data
The total amount of the corresponding number of users of data, finally determines user's ranking according to the total amount of number of users.Wherein, ranking dimension data counts
Each default ranking gear data can be the relevant table of predetermined period according to ranking dimension data statistical form or non-default in table
Period relevant table sets to correspond to, with the corresponding real-time and accuracy for promoting user's ranking.It can be seen that the present invention carries
The method of confession can accurately obtain user's real-time ranking in mass users data according to user's ranking dimension data of acquisition
Information, be particularly suitable for read class application in for user's reading electronic book accumulative reading duration carry out ranking, with
Based on effectively meeting real-time and accuracy requirement of the user to ranking information on the basis of mass users data.
The embodiment of the present application three provides a kind of nonvolatile computer storage media, the computer storage media storage
There are an at least executable instruction, the computer executable instructions to can perform the information push side in above-mentioned any means embodiment
Method.
Executable instruction specifically can be used for so that processor executes following operation：According to user identifier user in real
Ranking dimension data；The corresponding default ranking gear number of user's ranking dimension data is searched in ranking dimension data statistical form
According to；Wherein, ranking dimension data statistical form record has the correspondence of each default ranking gear data and number of users；Statistics is more than
The whole of the corresponding default ranking gear data of user's ranking dimension data presets the total of the corresponding number of users of ranking gear data
Amount；User's ranking is determined according to the total amount of number of users.
In a kind of optional mode, executable instruction also makes processor execute following operation：
Count the active user ranking dimension data of each user terminal；
Corresponding default ranking gear number in ranking dimension data statistical form is updated according to active user ranking dimension data
According to number of users.
In a kind of optional mode, executable instruction further makes processor execute following operation：Ranking dimension data
Statistical form is the relevant table of predetermined period, wherein each default ranking gear data are fixedly installed according to predetermined period, it is each default
The corresponding number of users of ranking gear data is zeroed out update by the period of predetermined period.
In a kind of optional mode, executable instruction further makes processor execute following operation：Each default ranking shelves
Position data are set dynamically according to the user's ranking dimension data obtained in real time.
In a kind of optional mode, executable instruction further makes processor execute following operation：
Whether monitoring default ranking gear data corresponding with active user ranking dimension data are by the first default ranking shelves
Position data rise to the second default ranking gear data；
If so, carrying out subtracting 1 operation by the number of users of the first default ranking gear data automatically；By the second default ranking shelves
The number of users of position data carries out plus 1 operation.
In a kind of optional mode, executable instruction further makes processor execute following operation：By the total of number of users
Amount plus 1 numerical value obtained are as user's ranking.
In a kind of optional mode, user's ranking dimension data includes：The accumulative reading duration of user's reading electronic book.
Fig. 3 shows a kind of structural schematic diagram of according to embodiments of the present invention four computing device, present invention specific implementation
Example does not limit the specific implementation of computing device.
As shown in figure 3, the computing device may include：Processor (processor) 302, communication interface
(Communications Interface) 304, memory (memory) 306 and communication bus 308.
Wherein：Processor 302, communication interface 304 and memory 306 complete mutual lead to by communication bus 308
Letter.Communication interface 304, for being communicated with the network element of miscellaneous equipment such as client or other servers etc..Processor 302 is used
In executing program 310, the related step in the above-mentioned real-time arrangement method embodiment based on mass users data can be specifically executed
Suddenly.
Specifically, program 310 may include program code, which includes computer-managed instruction.
Processor 302 may be central processor CPU or specific integrated circuit ASIC (Application
Specific Integrated Circuit), or be arranged to implement the integrated electricity of one or more of the embodiment of the present invention
Road.The one or more processors that computing device includes can be same type of processor, such as one or more CPU；Also may be used
To be different types of processor, such as one or more CPU and one or more ASIC.
Memory 306, for storing program 310.Memory 306 may include high-speed RAM memory, it is also possible to further include
Nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.
Program 310 specifically can be used for so that processor 302 executes following operation：
According to user identifier user in real ranking dimension data；
The corresponding default ranking gear data of user's ranking dimension data are searched in ranking dimension data statistical form；Its
In, ranking dimension data statistical form records the correspondence for having each default ranking gear data and number of users；
Statistics presets ranking gear data more than the whole of the corresponding default ranking gear data of user's ranking dimension data
The total amount of corresponding number of users；
User's ranking is determined according to the total amount of number of users.
In a kind of optional mode, program 310 is additionally operable to so that processor 302 executes following operation：
Count the active user ranking dimension data of each user terminal；
Corresponding default ranking gear number in ranking dimension data statistical form is updated according to active user ranking dimension data
According to number of users.
In a kind of optional mode, program 310 is further used for so that processor 302 executes following operation：Ranking is tieed up
Degrees of data statistical form is the relevant table of predetermined period, wherein each default ranking gear data are fixedly installed according to predetermined period,
The corresponding number of users of each default ranking gear data is zeroed out update by the period of predetermined period.
In a kind of optional mode, program 310 is further used for so that processor 302 executes following operation：It is each default
Ranking gear data are set dynamically according to the user's ranking dimension data obtained in real time.
In a kind of optional mode, program 310 is further used for so that processor 302 executes following operation：
Whether monitoring default ranking gear data corresponding with active user ranking dimension data are by the first default ranking shelves
Position data rise to the second default ranking gear data；
If so, carrying out subtracting 1 operation by the number of users of the first default ranking gear data automatically；By the second default ranking shelves
The number of users of position data carries out plus 1 operation.
In a kind of optional mode, program 310 is further used for so that processor 302 executes following operation：By user
Several total amounts adds 1 numerical value obtained as user's ranking.
In a kind of optional mode, user's ranking dimension data includes：The accumulative reading duration of user's reading electronic book.
Algorithm and display be not inherently related to any certain computer, virtual system or miscellaneous equipment provided herein.
Various general-purpose systems can also be used together with teaching based on this.As described above, it constructs required by this kind of system
Structure be obvious.In addition, the present invention is not also directed to any certain programmed language.It should be understood that can utilize various
Programming language realizes the content of invention described herein, and the description done above to language-specific is to disclose this hair
Bright preferred forms.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that the implementation of the present invention
Example can be put into practice without these specific details.In some instances, well known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this description.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of each inventive aspect,
Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the method for the disclosure should be construed to reflect following intention：It is i.e. required to protect
Shield the present invention claims the more features of feature than being expressly recited in each claim.More precisely, as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following specific implementation mode are expressly incorporated in the specific implementation mode, wherein each claim itself
All as a separate embodiment of the present invention.
Those skilled in the art, which are appreciated that, to carry out adaptively the module in the equipment in embodiment
Change and they are arranged in the one or more equipment different from the embodiment.It can be the module or list in embodiment
Member or component be combined into a module or unit or component, and can be divided into addition multiple submodule or subelement or
Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it may be used any
Combination is disclosed to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so to appoint
Where all processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint power
Profit requires, abstract and attached drawing) disclosed in each feature can be by providing the alternative features of identical, equivalent or similar purpose come generation
It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments means in of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed
One of meaning mode can use in any combination.
It should be noted that the present invention will be described rather than limits the invention for above-described embodiment, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference mark between bracket should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element or step listed in the claims.Word "a" or "an" before element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real
It is existing.In the unit claims listing several devices, several in these devices can be by the same hardware branch
To embody.The use of word first, second, and third does not indicate that any sequence.These words can be explained and be run after fame
Claim.
The invention discloses：A1. a kind of real-time arrangement method based on mass users data comprising：
According to user identifier user in real ranking dimension data；
The corresponding default ranking gear data of user's ranking dimension data are searched in ranking dimension data statistical form；
Wherein, the ranking dimension data statistical form record has the correspondence of each default ranking gear data and number of users；
Statistics presets ranking gear data more than the whole of the corresponding default ranking gear data of user's ranking dimension data
The total amount of corresponding number of users；
User's ranking is determined according to the total amount of the number of users.
A2. the method according to A1, wherein the method further includes：
Count the active user ranking dimension data of each user terminal；
Corresponding default row in the ranking dimension data statistical form is updated according to the active user ranking dimension data
The number of users of name gear data.
A3. the method according to A1 or A2, wherein the ranking dimension data statistical form is that predetermined period is relevant
Table, wherein each default ranking gear data are fixedly installed according to predetermined period, the corresponding user of each default ranking gear data
Number is zeroed out update by the period of the predetermined period.
A4. the method according to A1 or A2, wherein each default ranking gear data are according to the user's ranking obtained in real time
Dimension data and be set dynamically.
A5. the method according to A2, wherein described that the ranking is updated according to the active user ranking dimension data
The number of users of corresponding default ranking gear data further comprises in dimension data statistical form：
Whether monitoring default ranking gear data corresponding with the active user ranking dimension data are by the first default row
Name gear data rise to the second default ranking gear data；
If so, carrying out subtracting 1 operation by the number of users of the first default ranking gear data automatically；By the second default ranking shelves
The number of users of position data carries out plus 1 operation.
A6. the method according to any one of A1-A5, wherein the total amount according to the number of users determines user
Ranking is specially：Add 1 numerical value obtained as user's ranking the total amount of the number of users.
A7. the method according to any one of A1-A6, wherein user's ranking dimension data includes：User reads
The accumulative reading duration of e-book.
The invention also discloses：B8. a kind of computing device, including：Processor, memory, communication interface and communication bus,
The processor, the memory and the communication interface complete mutual communication by the communication bus；
For the memory for storing an at least executable instruction, it is following that the executable instruction makes the processor execute
Operation：
According to user identifier user in real ranking dimension data；
The corresponding default ranking gear data of user's ranking dimension data are searched in ranking dimension data statistical form；
Wherein, the ranking dimension data statistical form record has the correspondence of each default ranking gear data and number of users；
Statistics presets ranking gear data more than the whole of the corresponding default ranking gear data of user's ranking dimension data
The total amount of corresponding number of users；
User's ranking is determined according to the total amount of the number of users.
B9. the computing device according to B8, the executable instruction also make the processor execute following operation：
Count the active user ranking dimension data of each user terminal；
Corresponding default row in the ranking dimension data statistical form is updated according to the active user ranking dimension data
The number of users of name gear data.
B10. the computing device according to B8 or B9, it is following that the executable instruction further executes the processor
Operation：
The ranking dimension data statistical form is the relevant table of predetermined period, wherein each default ranking gear data are according to pre-
If the period and be fixedly installed, the corresponding number of users of each default ranking gear data is zeroed out more using the predetermined period as the period
Newly.
B11. the computing device according to B8 or B9, it is following that the executable instruction further executes the processor
Operation：
Each default ranking gear data are set dynamically according to the user's ranking dimension data obtained in real time.
B12. the computing device according to B9, the executable instruction further make the processor execute following behaviour
Make：
Whether monitoring default ranking gear data corresponding with the active user ranking dimension data are by the first default row
Name gear data rise to the second default ranking gear data；
If so, carrying out subtracting 1 operation by the number of users of the first default ranking gear data automatically；By the second default ranking shelves
The number of users of position data carries out plus 1 operation.
B13. the computing device according to any one of B8-B12, the executable instruction further make the processor
Execute following operation：
Add 1 numerical value obtained as user's ranking the total amount of the number of users.
B14. the computing device according to any one of B8-B13, user's ranking dimension data include：User reads
Read the accumulative reading duration of e-book.
The invention also discloses：C15. a kind of computer storage media, being stored at least one in the storage medium can hold
Row instruction, the executable instruction make the processor execute following operation：
According to user identifier user in real ranking dimension data；
The corresponding default ranking gear data of user's ranking dimension data are searched in ranking dimension data statistical form；
Wherein, the ranking dimension data statistical form record has the correspondence of each default ranking gear data and number of users；
Statistics presets ranking gear data more than the whole of the corresponding default ranking gear data of user's ranking dimension data
The total amount of corresponding number of users；
User's ranking is determined according to the total amount of the number of users.
C16. the computer storage media according to C15, it is following that the executable instruction also executes the processor
Operation：
Count the active user ranking dimension data of each user terminal；
Corresponding default row in the ranking dimension data statistical form is updated according to the active user ranking dimension data
The number of users of name gear data.
C17. the computer storage media according to C15 or C16, the executable instruction further make the processor
Execute following operation：
The ranking dimension data statistical form is the relevant table of predetermined period, wherein each default ranking gear data are according to pre-
If the period and be fixedly installed, the corresponding number of users of each default ranking gear data is zeroed out more using the predetermined period as the period
Newly.
C18. the computer storage media according to C15 or C16, the executable instruction further make the processor
Execute following operation：
Each default ranking gear data are set dynamically according to the user's ranking dimension data obtained in real time.
C19. the computer storage media according to C16, the executable instruction further execute the processor
It operates below：
Whether monitoring default ranking gear data corresponding with the active user ranking dimension data are by the first default row
Name gear data rise to the second default ranking gear data；
If so, carrying out subtracting 1 operation by the number of users of the first default ranking gear data automatically；By the second default ranking shelves
The number of users of position data carries out plus 1 operation.
C20. the computer storage media according to any one of C15-C19, the executable instruction further make institute
It states processor and executes following operation：
Add 1 numerical value obtained as user's ranking the total amount of the number of users.
C21. the computer storage media according to any one of C15-C20, wherein user's ranking dimension data
Including：The accumulative reading duration of user's reading electronic book.
Claims (10)
1. a kind of real-time arrangement method based on mass users data comprising：
According to user identifier user in real ranking dimension data；
The corresponding default ranking gear data of user's ranking dimension data are searched in ranking dimension data statistical form；Its
In, the ranking dimension data statistical form record has the correspondence of each default ranking gear data and number of users；
Statistics is preset ranking gear data more than the whole of the corresponding default ranking gear data of user's ranking dimension data and is corresponded to
Number of users total amount；
User's ranking is determined according to the total amount of the number of users.
2. according to the method described in claim 1, wherein, the method further includes：
Count the active user ranking dimension data of each user terminal；
Corresponding default ranking shelves in the ranking dimension data statistical form are updated according to the active user ranking dimension data
The number of users of position data.
3. method according to claim 1 or 2, wherein the ranking dimension data statistical form is that predetermined period is relevant
Table, wherein each default ranking gear data are fixedly installed according to predetermined period, the corresponding user of each default ranking gear data
Number is zeroed out update by the period of the predetermined period.
4. method according to claim 1 or 2, wherein each default ranking gear data are arranged according to the user obtained in real time
Name dimension data and be set dynamically.
5. described to update the row according to the active user ranking dimension data according to the method described in claim 2, wherein
The number of users of corresponding default ranking gear data further comprises in name dimension data statistical form：
Whether monitoring default ranking gear data corresponding with the active user ranking dimension data are by the first default ranking shelves
Position data rise to the second default ranking gear data；
If so, carrying out subtracting 1 operation by the number of users of the first default ranking gear data automatically；By the second default ranking gear number
According to number of users carry out plus 1 operation.
6. method according to any one of claims 1-5, wherein the total amount according to the number of users determines user
Ranking is specially：Add 1 numerical value obtained as user's ranking the total amount of the number of users.
7. according to the method described in any one of claim 1-6, wherein user's ranking dimension data includes：User reads
Read the accumulative reading duration of e-book.
8. a kind of computing device, including：Processor, memory, communication interface and communication bus, the processor, the storage
Device and the communication interface complete mutual communication by the communication bus；
The memory makes the processor execute following behaviour for storing an at least executable instruction, the executable instruction
Make：
According to user identifier user in real ranking dimension data；
The corresponding default ranking gear data of user's ranking dimension data are searched in ranking dimension data statistical form；Its
In, the ranking dimension data statistical form record has the correspondence of each default ranking gear data and number of users；
Statistics is preset ranking gear data more than the whole of the corresponding default ranking gear data of user's ranking dimension data and is corresponded to
Number of users total amount；
User's ranking is determined according to the total amount of the number of users.
9. computing device according to claim 8, the executable instruction also makes the processor execute following operation：
Count the active user ranking dimension data of each user terminal；
Corresponding default ranking shelves in the ranking dimension data statistical form are updated according to the active user ranking dimension data
The number of users of position data.
10. a kind of computer storage media, an at least executable instruction, the executable instruction are stored in the storage medium
The processor is set to execute following operation：
According to user identifier user in real ranking dimension data；
The corresponding default ranking gear data of user's ranking dimension data are searched in ranking dimension data statistical form；Its
In, the ranking dimension data statistical form record has the correspondence of each default ranking gear data and number of users；
Statistics is preset ranking gear data more than the whole of the corresponding default ranking gear data of user's ranking dimension data and is corresponded to
Number of users total amount；
User's ranking is determined according to the total amount of the number of users.
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