CN104991969B - According to the method and device of default template generation modeling event results set - Google Patents
According to the method and device of default template generation modeling event results set Download PDFInfo
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Abstract
The invention discloses method, apparatus and electronic equipment that a kind of basis presets template generation modeling event results set, wherein method includes：Obtain the reference data of multiple correlating events；The reference data of multiple correlating events is directed into default template, using the initial data and preset algorithm of multiple analog subscribers of default template record, generates the modeling event result of multiple correlating events corresponding with the initial data of each analog subscriber；Gather the modeling event of the corresponding multiple correlating events of initial data of all analog subscribers as a result, obtaining modeling event results set.This programme can efficiently and easily generate modeling event results set, considerably reduce to obtain the human cost and time cost that event result set is spent.
Description
Technical field
The present invention relates to Internet technical fields, and in particular to a kind of default template generation modeling event results set of basis
Method, apparatus and electronic equipment.
Background technology
As science and technology is growing with people's living standard, data have played very important in every field
Effect.In many fields, it is required for carrying out data processing, including various initial data is analyzed, arranges, calculate, compiling
Collect equal processing and processing.Wherein, initial data is also referred to as sample data, and sample data is to carry out the base of big data processing
Plinth is required for obtaining sample data before carrying out big data processing.
Some sample data sets are that the forms such as questionnaire obtain by inquiry, when the sample data sets of needs include
When the amount of sample data is larger, a large amount of human cost and time cost will be spent by collecting sample data sets.Therefore people
It wants to find feasible method, the human cost and time cost that sample data sets are spent is obtained to reduce,
In addition, effective covering to set will have important directive function to the output of final result.
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
The above problem, and a kind of basis provided presets the method, apparatus and electronic equipment of template generation modeling event results set.
According to an aspect of the invention, there is provided a kind of basis presets the side of template generation modeling event results set
Method, this method include：
Obtain the reference data of multiple correlating events；
The reference data of multiple correlating events is directed into default template, is used using multiple simulations of default template record
The initial data and preset algorithm at family generate the simulation thing of multiple correlating events corresponding with the initial data of each analog subscriber
Part result；
Gather the modeling event of the corresponding multiple correlating events of initial data of all analog subscribers as a result, obtaining simulation thing
Part results set.
According to another aspect of the present invention, a kind of dress of the default template generation modeling event results set of basis is provided
It sets, which includes：
Acquisition module is suitable for obtaining the reference data of multiple correlating events；
Generation module is remembered suitable for the reference data of multiple correlating events to be directed into default template using default template
The initial data and preset algorithm of multiple analog subscribers of record generate multiple passes corresponding with the initial data of each analog subscriber
The modeling event result of connection event；
Collection modules are suitable for gathering the corresponding multiple association things of initial data for all analog subscribers that generation module generates
The modeling event of part is as a result, obtain modeling event results set.
According to another aspect of the invention, a kind of electronic equipment is provided, which includes that above-mentioned basis presets mould
Plate generates the device of modeling event results set.
Technical solution provided by the invention is according to the reference data of multiple correlating events, the initial data of multiple analog subscribers
And preset algorithm, the modeling event of multiple correlating events corresponding with the initial data of each analog subscriber is generated as a result, then
By the modeling event result of the corresponding multiple correlating events of the initial data of all analog subscribers into row set, to be simulated
Event result set.Technical solution provided by the invention can be quick according to the reference data and default template of multiple correlating events
Be conveniently generated modeling event results set, considerably reduce in order to obtain human cost that event result set is spent and
Time cost contributes to the development of follow-up data processing work.
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 method that basis according to an embodiment of the invention presets template generation modeling event results set
Flow diagram；
Fig. 2 is the selection schematic diagram of 2015103 phases victory or defeat coloured silk；
Fig. 3 shows that basis in accordance with another embodiment of the present invention presets the side of template generation modeling event results set
The flow diagram of method；
Fig. 4 shows that basis according to an embodiment of the invention presets the device of template generation modeling event results set
Functional structure signal；
Fig. 5 shows that basis in accordance with another embodiment of the present invention presets the dress of template generation modeling event results set
The illustrative view of functional configuration set.
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 method that basis according to an embodiment of the invention presets template generation modeling event results set
Flow diagram, wherein modeling event results set can be regarded as analog sample data acquisition system, as shown in Figure 1, this method packet
Include following steps：
Step S100 obtains the reference data of multiple correlating events.
If multiple and different events are the set elements in same setting event sets, it may be considered that multiple events are mutual
Between with incidence relation or one the result is that being determined jointly by multiple and different events, it is also assumed that multiple event phases
There is incidence relation between mutually, the event with incidence relation is defined as correlating event in the present invention.For example, there is branched ball
The Football World Championship match that team participates in, then can regard the match of branched team between any two as multiple and different event, multiple
Different events belongs to the set element that Football World Championship is competed in this setting event sets, then branched team two-by-two it
Between match be properly termed as multiple correlating events.For another example, " victory or defeat is color " in soccer lottery, that is, guess and carried out by 28 teams
14 matches results of the match, when the result of the match for all plays match of hitting it, then in the first prize, it is wherein arbitrary when hitting it
13 match result of the match when, then in second prize, due to the final result of victory or defeat coloured silk be by 14 match jointly determinations, because
This, this 14 matches can be described as 14 correlating events with incidence relation.For another example, it is needed in soccer lottery " two strings one " competing
Guess that the result of the match of two matches is got the winning number in a bond if hitting it two results of the match competed simultaneously, then this two matches are seen
Make two correlating events.
Wherein, the reference data of each correlating event includes：One or more event results of the correlating event are corresponding
One or more event result offsets.And event result offset is then used to indicate a kind of event when a correlating event
Compensation rate when as a result occurring.
Assuming that in soccer lottery " two strings one ", correlating event 1 is Brazil VS Holland, and correlating event 2 is that Germany VS meanings are big
Profit.There are 3 kinds of results of the match, that is, 3 kinds of event results per bout：Host team's victory (indicates that host team wins) with 3；Host team is flat
(indicating that host team is flat with 1)；Host team is negative (indicating that host team is negative with 0).For correlating event 1, indicates Brazil's victory with 3, Brazil is indicated with 1
It is flat, indicate that Brazil is negative with 0.
However before 1 corresponding end of match of correlating event, can not all determine final event result be 3, be 1 or
0.Under normal circumstances, many third parties can provide 3 event results corresponding with 3 kinds of event results of correlating event 1 in advance
Offset.For example, according to history result of the match, in the match of 10 nearest VS Holland of Brazil, there is the match knot of 8 matches
Fruit is all Brazilian victory, then can predict that the final event result of above-mentioned correlating event 1 is that the possibility of Brazil's victory is more than Holland's victory
Possibility.At this point, the corresponding 3 event result offsets of 3 kinds of event results of the correlating event 1 that third party generally provides
It is respectively：The event result offset of Brazil's victory is 1, and the flat event result offset of Brazil is 3, and the negative event result of Brazil is mended
It is 6 to repay value.That is, if final event result of Brazilian this event result of victory as correlating event 1 has been pre-selected,
When then the event result when correlating event 1 is finally completed is Brazil's victory, then compensated with the compensation rate of X*1；If in advance
Selected Brazilian negative final event result of this event result as correlating event 1, then when correlating event 1 is finally completed
When event result is that Brazil is negative, then compensated with the compensation rate of X*6.Wherein, X determines according to actual conditions, can with but not only
It is limited to amount of money value, integrated value and virtual at least one of game currency value.
It follows that the size of event result offset reflects the probability that corresponding event result occurs indirectly,
Specifically, the event result offset the big, illustrates that the possibility that the final result of correlating event is the event result is smaller, thing
Part result offset is smaller, illustrates that the possibility that the final result of correlating event is the event result is bigger.
Assuming that obtained modeling event results set is the stake set about 2015103 phases victory or defeat coloured silk.Fig. 2 is
The selection schematic diagram of 2015103 phases victory or defeat coloured silk, as shown in Fig. 2, 3 kinds of event results (i.e. 3,1 and 0) per bout have phase
The average odds answered, wherein bout corresponds to a correlating event, and can compensate average odds as event result
Value, therefore, in order to generate the modeling event results set, needs the reference data for obtaining this 14 correlating events first.
The reference data of multiple correlating events is directed into default template by step S101, utilizes default template record
The initial data and preset algorithm of multiple analog subscribers generate multiple association things corresponding with the initial data of each analog subscriber
The modeling event result of part.
Assuming that be prerecorded with the initial data of 10000 analog subscribers in default template, each analog subscriber it is original
Data include being generated corresponding with the initial data of each analog subscriber in conjunction with preset algorithm to 14 stake competed selections
The modeling event of multiple correlating events is as a result, generate the result of 10000 simulated races about multiple correlating events.
Step S102, gather the modeling event of the corresponding multiple correlating events of initial data of all analog subscribers as a result,
Obtain modeling event results set.
By the modeling event of the corresponding multiple correlating events of initial data of the step S101 all analog subscribers generated
As a result into row set, to obtain modeling event results set, for reference or use.
The method that basis provided in this embodiment presets template generation modeling event results set, according to multiple correlating events
Reference data, the initial data and preset algorithm of multiple analog subscribers, generate it is corresponding with the initial data of each analog subscriber
Multiple correlating events modeling event as a result, then by the corresponding multiple correlating events of the initial data of all analog subscribers
Modeling event result is into row set, to obtain modeling event results set.Technical solution provided by the invention is according to multiple passes
The reference data of connection event and default template can efficiently and easily generate modeling event results set, considerably reduce in order to
The human cost and time cost that event result set is spent are obtained, the development of follow-up data processing work is contributed to.
Fig. 3 shows that basis in accordance with another embodiment of the present invention presets the side of template generation modeling event results set
The flow diagram of method, as shown in figure 3, this method comprises the following steps：
Step S300 obtains the reference data of multiple correlating events from multiple third parties respectively, the same pass that will be got
The corresponding multiple sample compensation values of same event result of connection event are averaged as corresponding event result offset.
Wherein, the reference data of each correlating event includes：One or more event results of the correlating event are corresponding
One or more event result offsets.And event result offset is then used to indicate a kind of event when a correlating event
Compensation rate when as a result occurring.
By taking the victory or defeat coloured silk in soccer lottery as an example, multiple correlating events include：14 correlating events with incidence relation,
And 14 correlating events respectively correspond to 3 kinds of event results.This 14 correlating events are 14 matches, each correlating event
Corresponding host team's victory (indicating that host team wins with 3), host team's flat (indicating that host team is flat with 1) and host team's negative (indicating that host team is negative with 0) have 3 altogether
Kind event result.Assuming that user goes for the modeling event results set of 2015103 phases victory or defeat coloured silk stake, then need from third
Side obtains the reference data of 14 correlating events of the phase, and the reference data of each correlating event includes：With the 3 of the correlating event
The kind corresponding event result offset of event result.
In order to keep the reference data of multiple correlating events of acquisition more accurate, can respectively be obtained from multiple third parties multiple
The reference data of correlating event.When there are the same event result of acquired same correlating event multiple corresponding samples to mend
When repaying value, take the average value of multiple sample compensation values as corresponding event result offset, so that event result compensates
Value is more accurate.Also can the same correlating event to getting in other way same event result it is corresponding multiple
Sample compensation value is handled, so that it is determined that corresponding event result offset.
Step S301, according to one or more event result offsets of each correlating event, to multiple correlating events into
Row sequence.
Bout is a correlating event, and every game has 3 event result offsets, can be from the 3 of every game
Minimum event result offset is obtained in a event result offset, then according to these minimum event result offsets from
It is small to be ranked up to big 14 matches of sequence pair, so as to complete the sequence of multiple correlating events.1st match is known as closing
Connection event 1, the 2nd match are known as correlating event 2, and so on.As shown in Fig. 2, the minimum event result of correlating event 1 is mended
It is 2.00 to repay value, and the minimum event result offset of correlating event 2 is 2.28, and the minimum event result of correlating event 3 is mended
It is 1.78 to repay value, and the minimum event result offset of correlating event 4 is 1.88, and the minimum event result of correlating event 5 is mended
It is 1.54 to repay value, and the minimum event result offset of correlating event 6 is 1.87, and the minimum event result of correlating event 7 is mended
It is 2.50 to repay value, and the minimum event result offset of correlating event 8 is 1.35, and the minimum event result of correlating event 9 is mended
It is 2.09 to repay the minimum event result offset that value is 1.42, correlating event 10, the minimum event result of correlating event 11
Offset is 2.49, and the minimum event result offset of correlating event 12 is 2.55, the minimum event knot of correlating event 13
Fruit offset is 1.90, and the minimum event result offset of correlating event 14 is 1.96, according to these minimum event results
Offset 14 correlating events of sequence pair from small to large are ranked up, and wherein correlating event 8 comes the 1st, 9 row of correlating event
At the 2nd.
The reference data of multiple correlating events is directed into default template by step S302, will be each according to preset algorithm
Analog subscriber is mapped as the modeling event result of multiple correlating events about the initial data of multiple correlating events.
It specifically, will be each according to the incidence relation of initial data and event result offset for a correlating event
Analog subscriber is mapped as the simulation corresponding with event result offset of the correlating event about the initial data of the correlating event
Event result.
Wherein, the initial data and preset algorithm that multiple analog subscribers are prerecorded in template are preset.For example, simulation is used
The initial data at family 1 includes the stake selection to 14 matches after step S301 sequences, and the stake of every game selects
3 event result offsets all with this match have incidence relation, specifically, for the match for coming the 1st, that is, are associated with
Event 8, what analog subscriber 1 selected is the minimum corresponding event of event result offset in 3 event result offsets
As a result, in conjunction with Fig. 2 it is found that the minimum corresponding event result of event result offset of correlating event 8 is that host team is negative (i.e.
0)；For the match for coming the 2nd, i.e. correlating event 9, what analog subscriber 1 selected is the minimum in 3 event result offsets
Event result offset and the maximum corresponding event result of event result offset, in conjunction with Fig. 2 it is found that correlating event 9
Minimum event result offset and the maximum corresponding event result of event result offset be that host team wins (i.e. 3) and leads
Team bears (i.e. 0).The event result for obtaining 14 matches according to the method described above, to complete analog subscriber 1 about 14 association things
Mapping of the initial data of part to modeling event result.
According to method of the same race, each analog subscriber is mapped as 14 associations about the initial data of 14 correlating events
The modeling event result of event.
Step S303, according to one or more event result offsets of each correlating event, pair with each analog subscriber
The modeling event results of the corresponding multiple correlating events of initial data be ranked up.
Due to one or more event result offsets according to each correlating event in step S301, to multiple associations
Event carried out sequence.Therefore, the sequence before needing reduction to sort in step S303, to these user-friendly simulations
Event result.
Step S304, according to multidate information pair multiple association things corresponding with one or more initial data of analog subscriber
The modeling event result of part is adjusted.
In order to obtain more accurate modeling event results set, it is also necessary to according to multidate information pair and one or more moulds
The modeling event result of the corresponding multiple correlating events of initial data of quasi- user is adjusted.Color for soccer lottery victory or defeat
Example, multidate information may include：Weather conditions, home-away factor, history cross swords record, the fighting will of team, agreement ball, the world row
Name and main force's wound are stopped.For example, certain match in host team the main force wound stop, originally with the initial data pair of analog subscriber 1
The event result for the correlating event answered wins for host team, it is contemplated that the multidate information stopped is hindered by the main force, can be by the original with analog subscriber 1
It is flat to be adjusted to host team for the event result of the correlating event in the corresponding modeling event result of beginning data.
Step S305, gather the modeling event of the corresponding multiple correlating events of initial data of all analog subscribers as a result,
Obtain modeling event results set.
By the simulation thing of the corresponding multiple correlating events of initial data of all analog subscribers obtained by above-mentioned steps
Part result is into row set, so that it may obtain modeling event results set, it is for reference or use.
According to the method that basis provided in this embodiment presets template generation modeling event results set, from multiple third parties
The reference data for obtaining multiple correlating events respectively, the initial data by each analog subscriber about multiple correlating events are mapped as
The modeling events of multiple correlating events as a result, and it is adjusted according to multidate information, then by the original of all analog subscribers
The modeling event result of the corresponding multiple correlating events of beginning data is into row set, to obtain modeling event results set.According to
Technical solution provided by the invention not only can efficiently and easily generate modeling event results set, considerably reduce to obtain
The human cost and time cost that event result set is spent, contribute to the development of follow-up data processing work, and pass through
Consider reference data and multidate information that multiple third parties provide multiple correlating events, makes the modeling event result set of acquisition
It closes more accurately, more with reference value.
Fig. 4 shows that basis according to an embodiment of the invention presets the device of template generation modeling event results set
Illustrative view of functional configuration, as shown in figure 4, the device includes：Acquisition module 401, generation module 402 and collection modules 403.
Acquisition module 401 is suitable for obtaining the reference data of multiple correlating events.
Wherein, the reference data of each correlating event includes：One or more event results of the correlating event are corresponding
One or more event result offsets.And event result offset is then used to indicate a kind of event when a correlating event
Compensation rate when as a result occurring.
Generation module 402 utilizes default template suitable for the reference data of multiple correlating events to be directed into default template
The initial data and preset algorithm of multiple analog subscribers of record generate corresponding with the initial data of each analog subscriber multiple
The modeling event result of correlating event.
Assuming that be prerecorded with the initial data of 10000 analog subscribers in default template, each analog subscriber it is original
Data include to 14 stake competed selections, and in conjunction with preset algorithm, generation module 402 generates original with each analog subscriber
The modeling event of the corresponding multiple correlating events of data is as a result, generate 10000 simulation things about multiple correlating events
Part result.
Collection modules 403 are suitable for gathering the corresponding multiple passes of initial data for all analog subscribers that generation module generates
The modeling event of connection event is as a result, obtain modeling event results set.
The corresponding multiple association things of initial data for all analog subscribers that collection modules 403 generate generation module 402
The modeling event result of part is into row set, to obtain modeling event results set, for reference or use.
The device that template generation modeling event results set is preset according to basis provided in this embodiment, passes through acquisition module
The reference data of multiple correlating events is obtained, and corresponding with the initial data of each analog subscriber more by generation module generation
The modeling event of a correlating event as a result, all analog subscribers for then being generated generation module by integration module original number
According to the modeling event result of corresponding multiple correlating events into row set, to obtain modeling event results set.The present invention carries
The technical solution of confession can efficiently and easily generate modeling event knot according to the reference data of multiple correlating events and default template
Fruit set considerably reduces to obtain the human cost and time cost that event result set is spent, and contributes to follow-up
The development of data processing work.
Fig. 5 shows that basis in accordance with another embodiment of the present invention presets the dress of template generation modeling event results set
The illustrative view of functional configuration set, as shown in figure 5, the device includes：Acquisition module 501, the first sorting module 502, generation module
503, the second sorting module 504, adjustment module 505 and collection modules 506.
Acquisition module 501, suitable for obtaining the reference data of multiple correlating events respectively from multiple third parties, by what is got
The corresponding multiple sample compensation values of same event result of same correlating event are averaged mends as corresponding event result
Repay value.
In order to keep the reference data of multiple correlating events of acquisition more accurate, acquisition module 501 can be from multiple third parties
The reference data of multiple correlating events is obtained respectively.When the same event result of acquired same correlating event has multiple phases
When corresponding sample compensation value, take the average value of multiple sample compensation values as corresponding event result offset, so that
Event result offset is more accurate.Acquisition module 501 also can be in other way to the same correlating event that gets
The same corresponding multiple sample compensation values of event result are handled, so that it is determined that corresponding event result offset.
First sorting module 502 is suitable for one or more event result offsets according to each correlating event, to multiple
Correlating event is ranked up.
By taking soccer lottery victory or defeat coloured silk as an example, multiple correlating events include：14 correlating events with incidence relation, and
14 correlating events respectively correspond to 3 kinds of event results.14 matches are 14 correlating events, and 3 kinds of event results are respectively host team
Victory, gentle host team of host team are negative.First sorting module 502 can be pressed according to the minimum event result offset of each correlating event
It is ranked up according to 14 correlating events of sequence pair from small to large.
Generation module 503, suitable for the reference data of multiple correlating events to be directed into default template, according to pre- imputation
Each analog subscriber is mapped as the modeling event result of multiple correlating events by method about the initial data of multiple correlating events.
Generation module 503 is further adapted for：For a correlating event, according to initial data and event result offset
Each analog subscriber is mapped as being mended with event result for the correlating event by incidence relation about the initial data of the correlating event
Repay the corresponding modeling event result of value.
For example, the initial data of analog subscriber 1 includes the stake of 14 matches obtained to the sequence of the first sorting module 502
Selection, and 3 event result offsets of the stake selection of every game all with this match have incidence relation, for one
Correlating event, according to the incidence relation of initial data and event result offset, the original by analog subscriber 1 about the correlating event
Beginning data are mapped as the modeling event result corresponding with event result offset of the correlating event.Equally, use will each be simulated
Family is all mapped as the modeling event result of 14 correlating events about the initial data of 14 correlating events.
Second sorting module 504 is suitable for according to one or more event result offsets of each correlating event, pair with it is every
The modeling event result of the corresponding multiple correlating events of initial data of a analog subscriber is ranked up.
Since the first sorting module 502 is according to one or more event result offsets of each correlating event, to multiple
Correlating event carried out sequence.Therefore, it is necessary to the sequences before being sorted by the reduction of the second sorting module 504, to facilitate use
Family uses these modeling event results.
Module 505 is adjusted, is suitable for corresponding more according to multidate information pair and one or more initial data of analog subscriber
The modeling event result of a correlating event is adjusted.
In order to obtain more accurate modeling event results set, it is also necessary to by adjusting module 505 according to multidate information
The modeling event result of pair multiple correlating events corresponding with one or more initial data of analog subscriber is adjusted.For
The example of soccer lottery victory or defeat coloured silk, multidate information may include：Weather conditions, home-away factor, history cross swords record, team bucket
Will, agreement ball, world rankings and main force's wound are stopped.For example, main force's wound of the host team in certain match is stopped, used originally with simulation
The event result of the corresponding correlating event of initial data at family 1 is that host team wins, it is contemplated that the multidate information stopped is hindered by the main force, can incite somebody to action
It is flat to be adjusted to host team for the event result of the correlating event in modeling event result corresponding with the initial data of analog subscriber 1.
Collection modules 506, the initial data for being suitable for gathering all analog subscribers that generation module 503 generates are corresponding multiple
The modeling event of correlating event is as a result, obtain modeling event results set.
Collection modules 506 by the modeling event result of the corresponding multiple correlating events of the initial data of all analog subscribers into
Row set, so that it may obtain modeling event results set, for reference or use.
The device that template generation modeling event results set is preset according to basis provided in this embodiment, passes through acquisition module
Obtain the reference data of multiple correlating events respectively from multiple third parties, and by generation module by each analog subscriber about more
The initial data of a correlating event is mapped as the modeling event of multiple correlating events as a result, then by adjusting module according to dynamic
Information is adjusted it, and modeling event results set is obtained finally by collection modules.According to technical side provided by the invention
Case not only can efficiently and easily generate modeling event results set, considerably reduce and spent to obtain event result set
Human cost and time cost, contribute to the development of follow-up data processing work, and by considering multiple third parties
The reference data and multidate information for providing multiple correlating events, make that the modeling event results set of acquisition is more accurate, more has
There is reference value.
The present invention also provides a kind of electronic equipment, which includes that above-mentioned basis presets template generation modeling event
The device of results set.The method that the electronic equipment presets template generation modeling event results set for realizing above-mentioned basis,
And the advantageous effect with corresponding method, details are not described herein.
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.
The all parts embodiment of the present invention can be with hardware realization, or to run on one or more processors
Software module realize, or realized with combination thereof.It will be understood by those of skill in the art that can use in practice
Microprocessor or digital signal processor (DSP) are come one of some or all components in realizing according to embodiments of the present invention
A little or repertoire.The present invention is also implemented as setting for executing some or all of method as described herein
Standby or program of device (for example, computer program and computer program product).It is such to realize that the program of the present invention deposit
Storage on a computer-readable medium, or can have the form of one or more signal.Such signal can be from because of spy
It downloads and obtains on net website, either provide on carrier signal or provide in any other forms.
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：
A kind of method that A1, basis preset template generation modeling event results set, the method includes：
Obtain the reference data of multiple correlating events；
The reference data of the multiple correlating event is directed into default template, the more of the default template record are utilized
The initial data and preset algorithm of a analog subscriber generate multiple correlating events corresponding with the initial data of each analog subscriber
Modeling event result；
Gather the modeling event of the corresponding multiple correlating events of initial data of all analog subscribers as a result, obtaining simulation thing
Part results set.
A2, the method according to A1, wherein each the reference data of correlating event includes：One kind of the correlating event
Or a variety of corresponding one or more of event result offsets of event result.
A3, the method according to A2, wherein the event result offset is used to indicate one when a correlating event
Compensation rate when kind event result occurs.
A4, the method according to A2, wherein the reference data for obtaining multiple correlating events further comprises：From
Multiple third parties obtain the reference data of multiple correlating events respectively, by the same event result of the same correlating event got
Corresponding multiple sample compensation values are averaged as corresponding event result offset.
A5, the method according to A2, wherein after the reference data for obtaining multiple correlating events, the side
Method further includes：
According to one or more event result offsets of each correlating event, the multiple correlating event is arranged
Sequence.
A6, the method according to A5, wherein the initial data using the multiple analog subscribers for presetting template record
And preset algorithm, the modeling event result for generating multiple correlating events corresponding with the initial data of each analog subscriber are further
Including：
According to preset algorithm, each analog subscriber is mapped as multiple association things about the initial data of multiple correlating events
The modeling event result of part.
A7, the method according to A6, wherein the initial data by each analog subscriber about multiple correlating events
The modeling event result for being mapped as multiple correlating events further comprises：
Use will each be simulated according to the incidence relation of initial data and event result offset for a correlating event
Family is mapped as the modeling event knot corresponding with event result offset of the correlating event about the initial data of the correlating event
Fruit.
A8, the method according to A2, wherein in the corresponding multiple passes of initial data of all analog subscribers of set
Before the modeling event of connection event is as a result, obtain modeling event results set, the method further includes：According to each correlating event
One or more event result offsets, to multiple correlating events corresponding with the initial data of each analog subscriber
Modeling event result is ranked up.
A9, the method according to A2, wherein in the corresponding multiple passes of initial data of all analog subscribers of set
Before the modeling event of connection event is as a result, obtain modeling event results set, the method further includes：According to multidate information pair with
The modeling event result of the corresponding multiple correlating events of initial data of one or more analog subscribers is adjusted.
A10, the method according to A1, wherein the multiple correlating event includes：14 associations with incidence relation
Event；14 correlating events respectively correspond to 3 kinds of event results.
B11, a kind of basis preset the device of template generation modeling event results set, and described device includes：
Acquisition module is suitable for obtaining the reference data of multiple correlating events；
Generation module, suitable for the reference data of the multiple correlating event to be directed into default template, using described pre-
If the initial data and preset algorithm of multiple analog subscribers of template record, generate corresponding with the initial data of each analog subscriber
Multiple correlating events modeling event result；
Collection modules are suitable for gathering the corresponding multiple passes of initial data for all analog subscribers that the generation module generates
The modeling event of connection event is as a result, obtain modeling event results set.
B12, the device according to B11, wherein each the reference data of correlating event includes：The one of the correlating event
Kind or the corresponding one or more of event result offsets of a variety of event results.
B13, the device according to B12, wherein the event result offset is used to indicating ought correlating event
A kind of compensation rate when event result generation.
B14, the device according to B12, wherein the acquisition module is further adapted for：It is obtained respectively from multiple third parties
The reference data for taking multiple correlating events, by the corresponding multiple samples of the same event result of the same correlating event got
Offset is averaged as corresponding event result offset.
B15, the device according to B12, wherein described device further includes：First sorting module is suitable for being closed according to each
One or more event result offsets of connection event, are ranked up the multiple correlating event.
B16, the device according to B15, wherein the generation module is further adapted for：It, will be each according to preset algorithm
Analog subscriber is mapped as the modeling event result of multiple correlating events about the initial data of multiple correlating events.
B17, the device according to B16, wherein the generation module is further adapted for：For a correlating event, root
According to the incidence relation of initial data and event result offset, the initial data by each analog subscriber about the correlating event is reflected
It penetrates as correlating event modeling event result corresponding with event result offset.
B18, the device according to B12, wherein described device further includes：Second sorting module is suitable for being closed according to each
One or more event result offsets of connection event, to multiple associations corresponding with the initial data of each analog subscriber
The modeling event result of event is ranked up.
B19, the device according to B12, wherein described device further includes：Module is adjusted, is suitable for according to multidate information pair
The modeling event result of multiple correlating events corresponding with the initial data of one or more analog subscribers is adjusted.
B20, the device according to B11, wherein the multiple correlating event includes：14 passes with incidence relation
Connection event；14 correlating events respectively correspond to 3 kinds of event results.
C21, a kind of electronic equipment, including as claim 11-20 any one of them is simulated according to default template generation
The device of event result set.
Claims (17)
1. a kind of method that basis presets template generation modeling event results set, the method includes：
Obtain the reference data of multiple correlating events；
The reference data of the multiple correlating event is directed into default template, multiple moulds of the default template record are utilized
The initial data and preset algorithm of quasi- user, generates the mould of multiple correlating events corresponding with the initial data of each analog subscriber
Quasi- event result；
Gather the modeling event of the corresponding multiple correlating events of initial data of all analog subscribers as a result, obtaining modeling event knot
Fruit set；
Wherein, the reference data of each correlating event includes：One or more event results corresponding one of the correlating event
A or multiple event result offsets；
The initial data and preset algorithm using the multiple analog subscribers for presetting template record generates and each analog subscriber
The modeling event results of the corresponding multiple correlating events of initial data further comprise：
It, will be every according to the incidence relation of initial data and event result offset for a correlating event according to preset algorithm
A analog subscriber is mapped as the mould corresponding with event result offset of the correlating event about the initial data of the correlating event
Quasi- event result.
2. according to the method described in claim 1, wherein, the event result offset is used to indicate ought correlating event
A kind of compensation rate when event result generation.
3. according to the method described in claim 1, wherein, the reference data for obtaining multiple correlating events further comprises：
The reference data for obtaining multiple correlating events respectively from multiple third parties, by the same event knot of the same correlating event got
The corresponding multiple sample compensation values of fruit are averaged as corresponding event result offset.
4. described after the reference data for obtaining multiple correlating events according to the method described in claim 1, wherein
Method further includes：
According to one or more event result offsets of each correlating event, the multiple correlating event is ranked up.
5. corresponding multiple in the initial data of all analog subscribers of set according to the method described in claim 1, wherein
Before the modeling event of correlating event is as a result, obtain modeling event results set, the method further includes：According to each association thing
One or more event result offsets of part, to multiple correlating events corresponding with the initial data of each analog subscriber
Modeling event result be ranked up.
6. corresponding multiple in the initial data of all analog subscribers of set according to the method described in claim 1, wherein
Before the modeling event of correlating event is as a result, obtain modeling event results set, the method further includes：According to multidate information pair
The modeling event result of multiple correlating events corresponding with the initial data of one or more analog subscribers is adjusted.
7. according to the method described in claim 1, wherein, the multiple correlating event includes：14 passes with incidence relation
Connection event；14 correlating events respectively correspond to 3 kinds of event results.
8. a kind of basis presets the device of template generation modeling event results set, described device includes：
Acquisition module is suitable for obtaining the reference data of multiple correlating events；
Generation module utilizes the default mould suitable for the reference data of the multiple correlating event to be directed into default template
The initial data and preset algorithm of multiple analog subscribers of plate record, generate corresponding with the initial data of each analog subscriber more
The modeling event result of a correlating event；
Collection modules are suitable for gathering the corresponding multiple association things of initial data for all analog subscribers that the generation module generates
The modeling event of part is as a result, obtain modeling event results set；
Wherein, the reference data of each correlating event includes：One or more event results corresponding one of the correlating event
A or multiple event result offsets；
The generation module is further adapted for：According to preset algorithm, for a correlating event, according to initial data and event knot
The incidence relation of fruit offset, by each analog subscriber about the initial data of the correlating event be mapped as the correlating event with
The corresponding modeling event result of event result offset.
9. device according to claim 8, wherein the event result offset is used to indicating ought correlating event
A kind of compensation rate when event result generation.
10. device according to claim 8, wherein the acquisition module is further adapted for：It is obtained respectively from multiple third parties
The reference data for taking multiple correlating events, by the corresponding multiple samples of the same event result of the same correlating event got
Offset is averaged as corresponding event result offset.
11. device according to claim 8, wherein described device further includes：First sorting module is suitable for according to each
One or more event result offsets of correlating event, are ranked up the multiple correlating event.
12. device according to claim 8, wherein described device further includes：Second sorting module is suitable for according to each
One or more event result offsets of correlating event, to multiple passes corresponding with the initial data of each analog subscriber
The modeling event result of connection event is ranked up.
13. device according to claim 8, wherein described device further includes：Module is adjusted, is suitable for according to multidate information
The modeling event result of pair multiple correlating events corresponding with one or more initial data of analog subscriber is adjusted.
14. device according to claim 8, wherein the multiple correlating event includes：14 passes with incidence relation
Connection event；14 correlating events respectively correspond to 3 kinds of event results.
15. a kind of electronic equipment, including if claim 8-14 any one of them is according to default template generation modeling event knot
The device of fruit set.
16. 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 as right is wanted for storing an at least executable instruction, the executable instruction
The basis described in any one of 1-7 is asked to preset the corresponding operation of method of template generation modeling event results set.
17. a kind of computer storage media, an at least executable instruction, the executable instruction are stored in the storage medium
Processor is set to execute the method that the basis as described in any one of claim 1-7 presets template generation modeling event results set
Corresponding operation.
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| PCT/CN2016/091587 WO2017016462A1 (en) | 2015-07-28 | 2016-07-25 | Method and apparatus for generating simulated event result set according to preset template |
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| CN101477542A (en) * | 2009-01-22 | 2009-07-08 | 阿里巴巴集团控股有限公司 | Sampling analysis method, system and equipment |
| CN103049452A (en) * | 2011-10-14 | 2013-04-17 | 百度在线网络技术（北京）有限公司 | Method and device for performing application sequencing based on estimated download rate |
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| CN104991969B (en) * | 2015-07-28 | 2018-09-04 | 北京奇虎科技有限公司 | According to the method and device of default template generation modeling event results set |
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| CN101477542A (en) * | 2009-01-22 | 2009-07-08 | 阿里巴巴集团控股有限公司 | Sampling analysis method, system and equipment |
| CN103049452A (en) * | 2011-10-14 | 2013-04-17 | 百度在线网络技术（北京）有限公司 | Method and device for performing application sequencing based on estimated download rate |
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