CN105488321A

CN105488321A - Compensation data processing method and device, and electronic apparatus

Info

Publication number: CN105488321A
Application number: CN201410484111.4A
Authority: CN
Inventors: 黄习锋
Original assignee: Beijing Qihoo Technology Co Ltd; Qizhi Software Beijing Co Ltd
Current assignee: Beijing Qihoo Technology Co Ltd; Qizhi Software Beijing Co Ltd
Priority date: 2014-09-19
Filing date: 2014-09-19
Publication date: 2016-04-13

Abstract

The invention discloses a compensation data processing method, a compensation data processing device and an electronic apparatus. The method comprises the steps of determining one or more event results corresponding to each of a plurality of events having association relationships; acquiring compensation values of the event results from a third party; sorting the one or more event results of the plurality of events to obtain one or more result protects; respectively normalizing the compensation value corresponding to each event result in the one or more result projects according to a sorting rule, to obtain project scores of the result projects; according to an integer processing rule, sorting the one or more result projects according to the sizes of the project scores; and responding to a call request to screen out an expected result project matched with the call request from the one or more result projects after sorting, wherein the call request carries forecast result project information. According to the method provided by the invention, the problem of low processing speed and efficiency during data processing is solved.

Description

A kind of offset data disposal route and device and a kind of electronic equipment

Technical field

The present invention relates to field of computer technology, be specifically related to a kind of offset data disposal route and device and a kind of electronic equipment.

Background technology

Data processing is the technical process analyzed data (comprise numerical value with nonnumeric) and process.Comprise processing and the process of the analysis to various raw data, arrangement, calculating, editor etc.Day by day universal along with computing machine, in computer application field, carries out by computer digital animation the application that information management become main.As surveying and mapping management, storehouse management, treasure and accounting management, traffic management, technical information management, office automation etc.

In terminal processes data procedures, when the data volume of data is less, processing speed is very fast, and efficiency is high, and the stand-by period is short.But when the data volume of data is huger, terminal is in process data procedures, and terminal processes burden increases the weight of in geometry level, and processing speed is more and more slower, and treatment effeciency is low.Especially, when using hardware and/or the lower terminal of software merit rating carries out huge data processing, because terminal processing capacity is limited, and then cause terminal to occur operation mistake and end data processing procedure in way in data handling; Or, cause apparatus overheat due to terminal overload operation, occur the machine of delaying, to such an extent as to need to restart processing procedure, lose time.

Summary of the invention

In view of the above problems, propose the present invention to provide a kind of overcoming the problems referred to above or a kind of offset data disposal route solved the problem at least in part and corresponding a kind of offset data treating apparatus, and a kind of electronic equipment.

According to one aspect of the present invention, provide a kind of offset data disposal route, comprising:

Determine to have each one or more event result self-corresponding of multiple events of incidence relation;

The offset of event result is obtained from third party; Wherein, the corresponding offset of each event result under each event; Described offset is for representing the compensation rate when the event result under event occurs;

One or more event result under described multiple event are sorted entirely, obtains one or more result project; Wherein, an element in result project is a kind of event result of an event;

According to setting rule, offset corresponding to each event result in described one or more result project is respectively normalized, and obtains result items object project score value;

According to integer processing rule, described one or more result project is sorted by the size of described project score value;

Response call request, from the one or more result projects after sequence, screening obtains the expected result project matched with described call request; Wherein, the project information that predicts the outcome is carried in described call request.

According to a further aspect in the invention, provide a kind of offset data treating apparatus, comprising:

Event result determination module, each one or more event result self-corresponding of the multiple events for determining to have incidence relation;

Offset acquisition module, for obtaining the offset of event result from third party; Wherein, the corresponding offset of each event result under each event; Described offset is for representing the compensation rate when the event result under event occurs;

Project acquisition module, for entirely sorting to one or more event result under described multiple event, obtains one or more result project; Wherein, an element in result project is a kind of event result of an event;

Processing module, for regular according to setting, offset corresponding to each event result in described one or more result project is respectively normalized, and obtains result items object project score value;

Order module, for according to integer processing rule, sorts by the size of described project score value to described one or more result project;

Call request respond module, for responding call request, from the one or more result projects after sequence, screening obtains the expected result project matched with described call request; Wherein, request set is carried in described call request; The project information that predicts the outcome is carried in described request set.

According to another aspect of the invention, provide a kind of electronic equipment, described electronic equipment comprises above-mentioned offset data treating apparatus.

A kind of offset data processing scheme disclosed in the embodiment of the present invention, according to the incidence relation between one or more event, and the event result that each event is corresponding, obtain corresponding one or more result projects.As can be seen here, a large amount of event datas can be carried out compressing and converting according to its incidence relation each other by the embodiment of the present invention, obtain the result project that data are comparatively concentrated, reduce data processing amount, and then reduce terminal calculation process pressure, improve processing speed, saved the time, decrease the stand-by period of user.

Further, the embodiment of the present invention carries out the coupling of call request according to described result project, and screening is obtained expected result project and exchanged by described result project and mate with request, decreases matching times, improves matching efficiency.Meanwhile, the data in result project are more concentrated, and relevance, specific aim are stronger, are convenient to fast directly match hit call request, improve matching efficiency.

Above-mentioned explanation is only the general introduction of technical solution of the present invention, in order to technological means of the present invention can be better understood, and can be implemented according to the content of instructions, and can become apparent, below especially exemplified by the specific embodiment of the present invention to allow above and other objects of the present invention, feature and advantage.

Accompanying drawing explanation

By reading hereafter detailed description of the preferred embodiment, various other advantage and benefit will become cheer and bright for those of ordinary skill in the art.Accompanying drawing only for illustrating the object of preferred implementation, and does not think limitation of the present invention.And in whole accompanying drawing, represent identical parts by identical reference symbol.In the accompanying drawings:

Fig. 1 is the flow chart of steps of a kind of offset data disposal route in the embodiment of the present invention one;

Fig. 2 is the flow chart of steps of a kind of offset data disposal route in the embodiment of the present invention two;

Fig. 3 is the selection schematic diagram of a kind of victory or defeat coloured silk in the embodiment of the present invention three;

Fig. 4 is the flow chart of steps of the offset data disposal route in the embodiment of the present invention three in a kind of victory or defeat coloured silk;

Fig. 5 is the structured flowchart of a kind of offset data treating apparatus in the embodiment of the present invention four;

Fig. 6 is the structural representation of a kind of offset data treating apparatus in the embodiment of the present invention five.

Embodiment

Below with reference to accompanying drawings exemplary embodiment of the present disclosure is described in more detail.Although show exemplary embodiment of the present disclosure in accompanying drawing, however should be appreciated that can realize the disclosure in a variety of manners and not should limit by the embodiment set forth here.On the contrary, provide these embodiments to be in order to more thoroughly the disclosure can be understood, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.

Embodiment one

With reference to Fig. 1, show the flow chart of steps of a kind of offset data disposal route in the embodiment of the present invention one.In the present embodiment, described offset data disposal route, comprising:

Step 102, determines to have each one or more event result self-corresponding of multiple events of incidence relation.

In the present embodiment, multiple events with incidence relation can refer to: described multiple event belongs to the set element in same setting event sets.As: in world cup semifinals, have 4 teams, team A, B, C, D, need to carry out two matches, if the competition team of bout can be team A and team B, the competition team of another bout is then team C and team D.The match of team A and team B is defined as event 1, and the match of team C and team D is defined as event 2.Due to the set element that event 1 and event 2 are all in the large event sets of this setting of world cup semifinals, therefore, can determine that above-mentioned event 1 and event 2 are two events with incidence relation.Further, because world cup semifinals belong to elimination series, there is not this event result of draw, therefore event 1 is to there being two kinds of event result: team A victory team B loses, team A loses team B and wins; Event 2 is also to there being two kinds of event result: team C victory team D loses, team C loses team D and wins.Preferably, belong to the set element in same setting event sets, (namely multiple events described in being also with incidence relation all complete, correspondence has event result), wherein, described in there is incidence relation multiple events can complete simultaneously, also can complete successively in order respectively.As, above-mentioned event 1 and event 2 can complete simultaneously, also can after event 1 completes, and event 2 completes again.

In the present embodiment, if described in there is incidence relation multiple events are set elements in same setting event sets, then can think that multiple event has incidence relation each other.As, the Football World Championship match having branched team to participate in, then can regard the match between any two of branched team as multiple different event, multiple different event all belongs to the set element that described Football World Championship is competed in this setting event sets, therefore, can think that multiple different event has incidence relation.And for example, 7 numbers of twin color ball, the first six number can be any one in digital 1-33 respectively, and the 7th number can be then any one in digital 1-16.Because the every first phase of twin color ball is all made up of 7 numbers, be also the set element that 7 numbers all belong in this setting set of twin color ball, therefore 7 number events have incidence relation.Further, the quantity of the event result that the first six event (number) is corresponding can identical (33 kinds of event result), and the quantity (16 kinds of event result) of the event result that the 7th event (number) is corresponding can be different from the quantity of the corresponding event result of other correlating events (33 kinds of event result).

As can be seen here, usually, multiple events with incidence relation are due to its association each other and corresponding relation, and the quantity of corresponding event result can be identical.As, above-mentioned event 1 and the event 2 with incidence relation, all corresponding two kinds of event result.Certainly, in actual applications, the quantity with event result corresponding to multiple events of incidence relation also can be different, and as above-mentioned twin color ball, the present embodiment is not restricted this.

Preferably, described in there is incidence relation multiple events finally all complete, a kind of event result of respective correspondence after completing.But event is before finally completing, specifically what is any is uncertain for corresponding event result, e.g., before above-mentioned event 1 and event 2 complete, can not determine event 1 and the respective corresponding any event result of event 2.The event result of event 1 may be that team A wins team B and loses, and also may be that team A loses team B and wins; The event result of event 2 may be that team C wins team D and loses, and also may be that team C loses team D and wins.

Step 104, obtains the offset of event result from third party.

In the present embodiment, the corresponding offset of each event result under each event; Described offset is for representing the compensation rate when the event result under event occurs.

Preferably, for above-mentioned event 1, before the event result of event 1 is determined, many third parties can give the offset of two kinds of event result of outgoing event 1 correspondence.As, according to history result of the match, nearest 10, in the match of team A and team B, the result of the match Dou Shi team A having 9 to compete wins team B and loses, then can the final event result of predicted events 1 correspondence will be: team A victory team B loses.Now, the offset of the event result of event 1 correspondence that third party provides can be: the offset of " team A wins team B and loses " is 1, and the offset of " team A loses team B to be won " is 6.Can be understood as, event result when " team A wins team B and loses ", this event result finally completed as described event 1 if select, when event result then when described event 1 finally completes is " team A wins team B and loses ", then compensate with the compensation rate of X*1.Event result when " team A loses team B to be won ", this event result finally completed as described event 1 if select, then when the event result when described event 1 finally completes is " team A loses team B to be won ", then compensate with the compensation rate of X*6.Wherein, X determines according to actual conditions, can but be not limited only to be at least one in amount of money value, integrated value and virtual game currency value.

Here it should be noted that, offset corresponding to event result indicates the probability that this event result occurs.The net result of offset larger explanation event is that the possibility of this event result is less, that is, be a small probability event, otherwise possibility is then higher, that is, the probability of generation is larger.As, the event result of described event 1 and event 2 is for " team A wins team B and loses; Team C win team D lose " possibility much larger than " team A loses team B to be won; Team C loses team D to be won " possibility.

And for example, an event: toss a coin, when the coin thrown out is front (coin any surface is wherein front, then corresponding one side is reverse side), offset is 1; When the coin thrown out is reverse side, offset is 1; When the coin thrown out is vertical raised state, offset is 100.Can be understood as, coin is this event result of vertical raised state is small probability event, generally can think that it can not occur, coin is offset 100 corresponding to this event result of vertical raised state much larger than offset 1 corresponding to other two kinds of event result, therefore, the probability that event result occurs can be determined, that is, the probability of offset instruction event result generation from the size of offset.

Step 106, sorts entirely to one or more event result under described multiple event, obtains one or more result project.Wherein, an element in result project is a kind of event result of an event.

Preferably, for above-mentioned event 1 and the event 2 with incidence relation, the multiple event result under event 1 and event 2 is sorted entirely, following four result projects can be obtained: (team A wins team B and loses; Team C wins team D and loses); (team A wins team B and loses; Team C loses team D to be won); (team A loses team B to be won; Team C wins team D and loses); (team A loses team B to be won; Team C loses team D to be won).The event result of event is each result items object element.

Step 108, according to setting rule, offset corresponding to each event result in described one or more result project is respectively normalized, and obtains result items object project score value.

Preferably, four result projects after entirely sorting according to above-mentioned event 1 and event 2, and to obtain from third party: the offset 1 that " team A wins team B and loses " is corresponding, " team A loses team B to be won " offset of correspondence is 6, the offset 2 that " team C wins team D and loses " is corresponding, and " team C loses team D to be won " offset of correspondence is 3, offset is normalized, as, be normalized according to the mode of being multiplied, can obtain:

(team A wins team B and loses result project; Team C win team D lose) project score value be: 1*2=2;

(team A wins team B and loses result project; Team C loses team D to be won) project score value be: 1*3=3;

(team A loses team B to be won result project; Team C win team D lose) project score value be: 6*2=12;

(team A loses team B to be won result project; Team C loses team D to be won) project score value be 6*3=18.

Step 110, according to integer processing rule, sorts by the size of described project score value to described one or more result project.

In the present embodiment, integer processing rule can refer to project score value corresponding for above-mentioned four result projects to be treated to according to setting numerical value (e.g., numerical value 10) integer and be greater than 10 and be less than or equal to 10 liang of groups.Namely, after integer process, first group comprises project score value 2 and 3; Second group comprises project score value 12 and 18.Then, the project score value in two groups is sorted according to size respectively.

Step 112, response call request, from the one or more result projects after sequence, screening obtains the expected result project matched with described call request.

Wherein, the project information that predicts the outcome is carried in described call request.

Preferably, for above-mentioned event 1 and event 2, some users may not understand the laws of the game of Football World Championship semifinals, namely semifinals are elimination serieses, now, may comprise by the project information that predicts the outcome of carrying in Client-initiated call request: team A and team B puts down, and/or team C and team D puts down.The project of predicting the outcome as, user can for multiple: the project that predicts the outcome (team A and team B puts down, and team C and team D puts down), (team A loses team B to be won the project that predicts the outcome; Team C loses team D to be won) and the project that predicts the outcome (team A win team B lose; Team C wins team D and loses).

Now, response call request, from four result projects after sequence, screening obtains the expected result project matched with described call request, that is, screen the expected result project obtained to be: (team A loses team B to be won expected result project; Team C loses team D to be won) and expected result project (team A win team B lose; Team C wins team D and loses).And then get rid of irrational project that predicts the outcome.

Further, (team A loses team B to be won expected result project; Team C loses team D to be won) corresponding project score value is 18; (team A wins team B and loses expected result project; Team C wins team D and loses) corresponding project score value is 3.According to the information (that is, the possibility that event result in this result project of the larger expression of result items object project score value occurs is less) of project score value instruction, therefore can (team A wins team B and loses by event result larger for possibility occurrence; Team C wins team D and loses) export as final expected result project; Or (team A loses team B to be won by event result less for possibility occurrence; Team C loses team D to be won) export as final expected result project.

In sum, a kind of offset data disposal route described in the present embodiment, according to the incidence relation between one or more event, and the event result that each event is corresponding, obtain corresponding one or more result projects.As can be seen here, a large amount of event datas can be carried out compressing and converting according to its incidence relation each other by the present embodiment, obtain the result project that data are comparatively concentrated, reduce data processing amount, and then reduce terminal calculation process pressure, improve processing speed, saved the time, decrease the stand-by period of user.

Further, the present embodiment carries out the coupling of call request according to described result project, and screening is obtained expected result project and exchanged by described result project and mate with request, decreases matching times, improves matching efficiency.Meanwhile, the data in result project are more concentrated, and relevance, specific aim are stronger, are convenient to fast directly match hit call request, improve matching efficiency.

Embodiment two

With reference to Fig. 2, show the flow chart of steps of a kind of offset data disposal route in the embodiment of the present invention two.In the present embodiment, for perform described offset data disposal route can but be not limited only to be a client.

In the present embodiment, described offset data disposal route, comprising:

Step 202, client determines to have each one or more event result self-corresponding of multiple events of incidence relation.

In the present embodiment, need each self-corresponding event result of multiple events determining to have incidence relation, wherein, the event result of some events is comparatively simple, and e.g., team A wins and team A loses two kinds of situations; The event result then more complicated of some events, e.g., team A wins, and team A loses, and team A allows a ball victory, and team allows the multiple event result of a ball equality.

Step 204, client obtains the offset of event result from third party.Wherein, the corresponding offset of each event result under each event; Described offset is for representing the compensation rate when the event result under event occurs.

Preferably, client can obtain multiple sample compensation values corresponding to same event result from multiple third party; And the mean value obtaining described multiple sample compensation value is as offset corresponding to each event result.Thus make the project score value after final normalized more accurate, the accuracy of screening the expected result project obtained is provided.

But be not limited thereto, in actual applications, other mode obtaining offset is suitable for too, as, the sample compensation value certain third party provided is as final event result offset, or, after the sample compensation value multiple third party provided processes, if the result obtained after carrying out certain or some computing is as final offset.

Step 206, client sorts entirely to one or more event result under described multiple event, obtains one or more result project.Wherein, an element in result project is a kind of event result of an event.

Preferably, multiple events described in incidence relation can comprise: 14 events with incidence relation; And, described in there is incidence relation 14 events corresponding 3 kinds of event result separately.Then, the event result of client to described 14 events sorts entirely, can obtain 3 ¹⁴=4782969 result projects.Those skilled in the art should understand: how entirely sort to the one or more projects under any number event with incidence relation, obtain result project.

Step 208, client is according to setting rule, and offset corresponding to each event result in described one or more result project is respectively normalized, and obtains result items object project score value.

Preferably, client can according to any one in arithmetic, the offset corresponding to each event result in described one or more result project is sued for peace, ask poor, quadrature and ask one in business's computing, is normalized, obtains project score value.

Step 210, client, according to integer processing rule, sorts by the size of described project score value to described one or more result project.

Preferably, described step 210 can comprise:

Sub-step 2102, described one or more result project is divided into corresponding multiple groupings according to multiple preset integer score value varied in size by client.

Preferably, client is when being divided into corresponding multiple grouping by described one or more result project according to multiple preset integer score value varied in size, can: the preset integer score value varied in size according to n-th grade of corresponding m, by described n-th grade, be divided into k one or more result projects of dividing into groups and be divided into k+m grouping.Wherein, the one or more projects being divided into k+m grouping described in are (n+1)th grade; N, k and m are the integer being more than or equal to 1.

There are as above-mentioned 14 events of incidence relation, and, described in there is incidence relation 14 events separately in corresponding 3 kinds of event result, 3 ¹⁴individual result project correspondence has 3 ¹⁴individual project score value, now can by 3 ¹⁴individual project score value is defined as the 1st grade, and gives tacit consent to described 3 ¹⁴individual project score value is 1 group.If the 1st grade comprises 100 preset integer score values varied in size, then can to described 3 ¹⁴individual project score value carries out integer process according to the preset integer score value that described 100 vary in size, and is divided into 101 (1+100=101) individual grouping, obtains the 2nd (1+1=2) level.The like, until by described 3 ¹⁴individual project score value integer is treated to k+m grouping.

Sub-step 2104, client sorts according to the size of project score value corresponding to each result project to the result project in each grouping after dividing respectively.

Adopt integer processing rule to carry out packet sequencing, a large Data Division is processed for many group small datas, improves data operation processing speed.Particularly in large data handling procedure, as to 3 ¹⁴individual result project sorts according to the project score value of correspondence, if directly to 3 ¹⁴individual result project carries out sequence process, then at least will carry out 1+2+3+4++3 ¹⁴secondaryly to compare, add the process computational burden of client, data processing speed is slow, and higher to the configuration requirement of client.Then improve operation efficiency by packet fragmentation comparison, decrease the pressure to client, the efficiency of sequence can be improved.

Step 212, client end response first parameter-configuring request, from the one or more result projects after sequence, screening is met the result project of described first parameter-configuring request.Wherein, described first parameter-configuring request comprises: the sequence sequence number meeting established standards.

Preferably, with above-mentioned 3 ¹⁴individual result project is example, and client can respond the first parameter-configuring request, after sequence 3 ¹⁴in individual result project before selected and sorted the result project of 2,000,000 or front 1,000,000 or front 2048 as the element in the set of the described large end.Wherein, described first parameter-configuring request includes but are not limited to: sort in front 2,000,000 or front 1,000,000 or front 2048 any one.

Step 214, client determines that the described set meeting the result item design of described first parameter-configuring request is the set of the large end.

Preferably, can but be not limited only to using sequence front 2,000,000 result project sequence front 1,000,000 result project or sort front 2048 result project in any one gather as the large end.

In the present embodiment, directly can respond call request after described step 214, namely perform step 216; Also can respond the second parameter-configuring request further, namely perform step 218.

Step 216, client end response call request, from the one or more result projects after sequence, screening obtains the expected result project matched with described call request.Wherein, the project information that predicts the outcome is carried in described call request.

Preferably, directly can respond call request after described step 214, namely perform step 216, can be specifically the sub-step 2162 under the described step 216 of execution:

Sub-step 2162, client end response first call request, obtains the described large end set result items object that indicate corresponding to the described project information that predicts the outcome and occurs simultaneously, obtain the first common factor; And, determine that the result project in described first common factor is described expected result project.Wherein, described expected result project is zero or one or multiple.

Preferably another, directly can respond call request after described step 214, namely perform step 216, can be specifically the sub-step 2164 under the described step 216 of execution:

Sub-step 2164, client end response second call request, obtains the described large end set result items object difference set that indicate corresponding to the described project information that predicts the outcome, obtains the first difference set; Determine that the result project in described first difference set is described expected result project.Wherein, described expected result project is zero or one or multiple.

Here it should be noted that, when the information of carrying in call request comprises the information of instruction acquisition common factor result, determine that described call request is the first call request, namely perform sub-step 2162; When the information of carrying in call request comprises the information of instruction acquisition difference set result, determine that described call request is the second call request, namely perform sub-step 2164.

Preferably, when described sub-step 2162 or sub-step 2164 complete after, then can determine that the process step of the offset data disposal route described in the present embodiment terminates.

As previously mentioned, in the present embodiment, the second parameter-configuring request can be responded after described step 214, namely perform step 218:

Step 218, client end response second parameter-configuring request, from described set of the large end, screening is met the result project of described second parameter-configuring request.

Wherein, the second parameter-configuring request comprises: meet the result items object quantity imposed a condition; And, determine that the described set meeting the result item design of described second parameter-configuring request is second-class set of the large end.

Step 220, client determines that the described set meeting the result item design of described second parameter-configuring request is second-class set of the large end.

Preferably, with 3 ¹⁴individual result project is example, if the element in the set of the described large end is: from 3 after sorting according to project score value ¹⁴before the sequence filtered out in individual result project 2,000,000 result project.Now client end response second parameter-configuring request, e.g., described second parameter-configuring request is: meeting the result items object quantity imposed a condition is 1 ~ 10." meeting the result items object quantity imposed a condition is 1 ~ 10 " this parameter-configuring request can be mated according to 1,850,000 result projects in 2,000,000 result projects before can determining described sequence to the analysis of historical data, namely can filter out described 1,850,000 result projects, and determine that the set of described 1,850,000 result item designs is second-class set of the large end.

In the present embodiment, after described step 220 determines second-class set of the large end, can adjust back and perform described step 216.

Preferably, determine to adjust back the described step 216 of execution after the second-class large end gathers in described step 220, can be specifically: the sub-step 2166 after described step 220 determines second-class set of the large end under the described step 216 of readjustment execution:

Sub-step 2166, client end response the 3rd call request, obtains the described second-class large end set result items object that indicate corresponding to the described project information that predicts the outcome and occurs simultaneously, obtain the second common factor; And, determine that the result project in described second common factor is described expected result project.Wherein, described expected result project is zero or one or multiple.Flow process terminates.

Preferably another, determine to adjust back the described step 216 of execution after the second-class large end gathers in described step 220, can be specifically: the sub-step 2168 after described step 220 determines second-class set of the large end under the described step 216 of readjustment execution:

Sub-step 2168, client end response the 4th call request, obtains the described second-class large end set result items object difference set that indicate corresponding to the described project information that predicts the outcome, obtains the second difference set.Determine that the result project in described second difference set is described expected result project.Wherein, described expected result project is zero or one or multiple.Flow process terminates.

Here it should be noted that, when described sub-step 2166 or sub-step 2168 complete after, can but the steps flow chart being not limited only to the offset data disposal route determined described in the present embodiment terminate.As, described client can respond the 4th call request again after described sub-step 2166, namely performs sub-step 2168; And for example, described client can respond the 3rd call request again after described sub-step 2168, namely performs sub-step 2166; The present embodiment is not restricted this.

Further, Data Division is that multi-group data carries out processing (e.g., sequence) respectively by the present embodiment, e.g., can adopt asynchronous parallel process, improve data operation processing speed.Particularly in large data handling procedure, the process of grouping integer, substantially increases data processing speed, also reduces the load of terminal or server side simultaneously.

Embodiment three

In conjunction with above-described embodiment, the present embodiment is described the specific implementation flow process of offset data disposal route for the victory or defeat coloured silk in concrete soccer lottery.

" victory or defeat is color " is for guess object with the football match play selected by Chinese football lottery victory or defeat playing method, when buying " victory or defeat is color ", equal negative result from all guess plays every game that Chinese football lottery victory or defeat playing method is selected in the victory that 90 minutes (containing the injury time) of the whole audience competes by buyer to bet, games results for selected guess play all only select a kind to predict the outcome as single entry stake, and the games results for a certain guess play select predicting the outcome as compound stake of more than 2 kinds (containing).Buyer can carry out many times of stakes to its selected result, and stake multiple scope is 2-99 times.The competition sessions of present first phase victory or defeat coloured silk are total up to 14, often note 2 yuans.

With reference to Fig. 3, show the selection schematic diagram of a kind of victory or defeat coloured silk in the embodiment of the present invention three.As shown in Figure 3, the issue of this victory or defeat coloured silk is: 2014082.Have the match that 28 teams carry out 14 plays.The result of the match of every game all can be thought and comprises three kinds of results of the match: victory (numeral 3 representative victory), flat (numeral 1 representative is flat), negative (numeral 0 representative is negative).As, play 6 is event 6: Italy of host team is poised for battle visiting team Uruguay.The event result of event 6 correspondence comprises: host team's victory, gentle host team of host team bear.Here it should be noted that, in figure 3, numeral 3 represents host team's victory, and numeral 1 represents host team and puts down, and numeral 0 represents host team and bears.Wherein, being poised for battle preceding team in list is host team, and posterior to being visiting team, as " Italian VS Uruguay ", then Italy is host team.In event 6, average odds 2.54 correspondence be result of the match be 3 (host team's victory) time odds; The like, average odds 3.30 correspondence be result of the match be 1 (host team puts down) time odds; Average odds 2.76 correspondence be result of the match be 0 (host team bears) time odds.

In the present embodiment, the match of 14 plays can be defined as the event that 14 have incidence relation, all corresponding 3 kinds of event result of each event result (victory, gentle negative).Then, buyer has 3 when buying victory or defeat and being color ¹⁴plant Scheme Choice.As, scheme 1 is: 33333333333333, i.e. the event result Jun Shi host team victory of 14 events; Scheme 2 is: 31111111111111 ... etc., do not enumerate.

For scene shown in Fig. 3, with reference to Fig. 4, show the flow chart of steps of the offset data disposal route in the embodiment of the present invention three in a kind of victory or defeat coloured silk.

In the present embodiment, described offset data disposal route, comprising:

Step 402, client determines 14 each one or more event result self-corresponding of match.

In the present embodiment, client can import the list poised for battle of the 2014082nd phase victory or defeat coloured silk from third party.And, determine that the event result of each play comprises: 3,1 and 0; Namely win, gentle negative.

Step 404, client obtains the offset of event result from third party.Wherein, the corresponding offset of each event result under each event; Described offset is for representing the compensation rate when the event result under event occurs.

In the present embodiment, described offset can refer to the odds value of the single game victory or defeat that third party outputs.Client obtains described odds value from third party.Preferably, described odds value can be the mean value of multiple odds values that described client obtains from multiple different third party, adopts mean value to improve the accuracy of data processing as final odds value.As, with reference to Fig. 3, play 6, the average odds value of Italy of host team victory is 2.54, and flat average odds value is 3.30, and negative average odds value is 2.76.That is, if buyer to check a victory or defeat with 2 yuans, and buy Italy's victory, then when result of the match be Italy's victory, then buyer can obtain 2*2.54=5.08 unit, described 5.08 yuan of compensation rates be equivalent to when event result generation under event.

Step 406, client obtains 3 of current victory or defeat coloured silk ¹⁴the scheme of kind.

In the present embodiment, client can sort entirely to the result of 14 matches, and then obtains all amounting to 3 ¹⁴individual result project, namely 3 ¹⁴the scheme of kind.As, in result project " 31111111111111 ", the event result that " 3 " represent curtain-raiser is host team's victory, and the event result Ze Junshi host team of other play match puts down.

Step 408, the average odds value that client is corresponding according to each event result, calculates each result items object project score value according to setting rule.

Preferably, as, with reference to Fig. 3, project score value corresponding to result project " 31111111111111 " can be that the odds of the average odds of the various correspondence of event result of 14 events is amassed: 2.54*4.89*8.35*3.29*3.77*3.30*3.48*3.55*3.95*3.97*4.23*2 .96*3.64*3.54.

Step 410, client according to integer processing rule, to 3 ¹⁴result project sorts by the size of described project score value.

Integer processing rule with reference to described in above-described embodiment two, no longer can describe in detail herein.Client is to 3 ¹⁴individual result project sorts according to size.Preferably, the order can amassed from small to large according to odds sorts, that is, odds amasss the corresponding sequence number 1 of minimum result project.

Step 412, client end response first parameter-configuring request, after sequence 3 ¹⁴in result project, screening is met the result project of described first parameter-configuring request, determines that the large end gathers.

In the present embodiment, client end response first parameter-configuring request, after sequence 3 ¹⁴screen the result project being met described first parameter-configuring request in result project to gather as the large end.With reference to Fig. 3, screening obtains the set of the large end and can be: sort front 2,000,000 the set of the large ends at the 2000000 sequence ends or the large ends at the 1000000 sequence ends of sequence front 1,000,000 gather or sort front 2048 the large ends at the 2048 large ends gather.

Step 414, client end response call request, from the set of the large end, screening obtains the expected result project matched with described call request.

In the present embodiment, the project information that predicts the outcome is carried in described call request.Two result orders as, user in predicting: 33333333333333 and 00000000000000.

Preferably, client can respond the common factor call request of user, obtains the described large end set result items object that indicate corresponding to the described project information that predicts the outcome and occurs simultaneously.As, obtain the set of the large end at the 2000000 sequence ends and the common factor of 33333333333333 and 00000000000000, the common factor now obtained can be 33333333333333, then determine that 33333333333333 is expected result projects.

Preferably another, client can respond the difference set call request of user, obtains the described large end set result items object difference set that indicate corresponding to the described project information that predicts the outcome.As, obtain the set of the large end at the 2000000 sequence ends and the difference set of 33333333333333 and 00000000000000, the difference set now obtained can be 00000000000000, then determine that 00000000000000 is expected result project.

In the present embodiment, after above-mentioned steps 412 determines the set of the large end, step 416 can also be performed.

Step 416, client end response second parameter-configuring request, from described set of the large end, screening is met the result project of described second parameter-configuring request; Determine that the described set meeting the result item design of described second parameter-configuring request is second-class set of the large end.

Wherein, the second parameter-configuring request comprises: meet the result items object quantity imposed a condition.Preferably, as color in victory or defeat, when the event result of any in 14 matches is different from final definite event result, and other 13 identical time, be then second prize.As, if final result of the match is 33333333333333, then 13333333333333 and 03333333333333 can be all second prize.In football lottery victory or defeat coloured silk, the result items object number meeting the first prize has 1, and meet the result items object number of second prize, namely second-class number has 28.Further, by determining the configuring request of second-class number (second prize number), can screen further from described set of the large end and obtaining second-class set of the large end.

Preferably, after determining second-class set of the large end, client can respond the common factor call request of user, obtains the described second-class large end set result items object that indicate corresponding to the described project information that predicts the outcome and occurs simultaneously.

Preferably another, after determining second-class set of the large end, client can respond the difference set call request of user, obtains the described second-class large end set result items object difference set that indicate corresponding to the described project information that predicts the outcome.

Further, the present embodiment carries out the coupling of call request according to described result project, and screening is obtained expected result project and exchanged by described result project and mate with request, decreases matching times, improves matching efficiency.Meanwhile, the data in result project are more concentrated, and relevance, specific aim are stronger, are convenient to fast directly match hit call request, improve matching efficiency.。

It should be noted that, for aforesaid embodiment of the method, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and involved action might not be essential to the invention.

Embodiment four

Based on inventive concept same as said method embodiment.With reference to Fig. 5, show the structured flowchart of a kind of offset data treating apparatus in the embodiment of the present invention four.In the present embodiment, described offset data treating apparatus, comprising:

Event result determination module 502, each one or more event result self-corresponding of the multiple events for determining to have incidence relation.

Offset acquisition module 504, for obtaining the offset of event result from third party.

Wherein, the corresponding offset of each event result under each event; Described offset is for representing the compensation rate when the event result under event occurs.

Project acquisition module 506, for entirely sorting to one or more event result under described multiple event, obtains one or more result project.

Wherein, an element in result project is a kind of event result of an event.

Processing module 508, for regular according to setting, offset corresponding to each event result in described one or more result project is respectively normalized, and obtains result items object project score value.

Order module 510, for according to integer processing rule, sorts by the size of described project score value to described one or more result project.

Call request respond module 512, for responding call request, from the one or more result projects after sequence, screening obtains the expected result project matched with described call request.

Wherein, request set is carried in described call request; The project information that predicts the outcome is carried in described request set.

In sum, a kind of offset data treating apparatus described in the present embodiment, according to the incidence relation between one or more event, and the event result that each event is corresponding, obtain corresponding one or more result projects.As can be seen here, a large amount of event datas can be carried out compressing and converting according to its incidence relation each other by the present embodiment, obtain the result project that data are comparatively concentrated, reduce data processing amount, and then reduce terminal calculation process pressure, improve processing speed, saved the time, decrease the stand-by period of user.

Embodiment five

With reference to Fig. 6, show the structural representation of a kind of offset data treating apparatus in the embodiment of the present invention five.In the present embodiment, described offset data treating apparatus, comprising:

Event result determination module 602, each one or more event result self-corresponding of the multiple events for determining to have incidence relation.

Offset acquisition module 604, for obtaining the offset of event result from third party.Wherein, the corresponding offset of each event result under each event; Described offset is for representing the compensation rate when the event result under event occurs.

Preferably, described offset acquisition module 604 can comprise:

Sample acquisition module 6042, for obtaining multiple sample compensation values corresponding to same event result from multiple third party.

Mean value acquisition module 6044, for the mean value of getting described multiple sample compensation value as offset corresponding to each event result.

Project acquisition module 606, for entirely sorting to one or more event result under described multiple event, obtains one or more result project.Wherein, an element in result project is a kind of event result of an event.

Processing module 608, for regular according to setting, offset corresponding to each event result in described one or more result project is respectively normalized, and obtains result items object project score value.

Preferably, described processing module 608, specifically for according to any one in arithmetic, the offset corresponding to each event result in set is sued for peace, ask poor, quadrature and ask one in business's computing, obtains project score value.

Order module 610, for according to integer processing rule, sorts by the size of described project score value to described one or more result project.

Preferably, described order module 610, comprising:

Integer divides module 6102, for described one or more result project is divided into corresponding multiple groupings according to multiple preset integer score value varied in size.

In the present embodiment, described integer divides module 6102, can specifically for according to n-th grade of corresponding m preset integer score value varied in size, by described n-th grade, be divided into k one or more result projects of dividing into groups and be divided into k+m grouping.Wherein, the one or more projects being divided into k+m grouping described in are (n+1)th grade; N, k and m are the integer being more than or equal to 1.

Integer order module 6104, for sorting according to the size of project score value corresponding to each result project to the result project in each grouping after dividing respectively.

First respond module 612, for responding the first parameter-configuring request, from the one or more result projects after sequence, screening is met the result project of described first parameter-configuring request.

Preferably, described first parameter-configuring request comprises: the sequence sequence number meeting established standards.

Large end set determination module 614, for determining that the described set meeting the result item design of described first parameter-configuring request is the set of the large end.

In the present embodiment, call request respond module 616 can be performed after described large end set determination module 614, or perform the second respond module 618.

Call request respond module 616, for responding call request, from the one or more result projects after sequence, screening obtains the expected result project matched with described call request.Wherein, request set is carried in described call request; The project information that predicts the outcome is carried in described request set.

In the present embodiment, multiple events described in incidence relation comprise: 14 events with incidence relation; Described 14 events corresponding 3 kinds of event result separately with incidence relation; Then,

Described call request respond module 616, specifically for responding the first parameter-configuring request, after sequence 3 ¹⁴in individual result project before selected and sorted the result project of 2,000,000 or front 1,000,000 or front 2048 as the element in the set of the described large end.Wherein, described first parameter-configuring request comprises: sort in front 2,000,000 or front 1,000,000 or front 2048 any one.

In the present embodiment, described call request respond module 616, can comprise: the first acquisition module 6162 and the first determination module 6164, or the second acquisition module 6166 and the second determination module 6168.

Preferably, after described large end set determination module 614, performing call request respond module 616 can be specifically: after described large end set determination module 614, perform the first acquisition module 6162 under call request respond module 616.

First acquisition module 6162, for responding described call request, obtaining the described large end set result items object that indicate corresponding to the described project information that predicts the outcome and occuring simultaneously, obtaining the first common factor.

First determination module 6164, for determining that the result project in described first common factor is described expected result project.Wherein, described expected result project is zero or one or multiple.

Now, described offset data treating apparatus end-of-job.

Preferably another, after described large end set determination module 614, perform call request respond module 616 can be specifically: after described large end set determination module 614, perform the second acquisition module 6166 under call request respond module 616.

Second acquisition module 6166, for responding described call request, obtaining the described large end set result items object difference set that indicate corresponding to the described project information that predicts the outcome, obtaining the first difference set.

Second determination module 6168, for determining that the result project in described first difference set is described expected result project.Wherein, described expected result project is zero or one or multiple.

Now, described offset data treating apparatus end-of-job.

As previously mentioned, in the present embodiment, the second respond module 618 can be performed after described large end set determination module 614.

Second respond module 618, for responding the second parameter-configuring request, from described set of the large end, screening is met the result project of described second parameter-configuring request.Wherein, the second parameter-configuring request comprises: meet the result items object quantity imposed a condition.

Second-class large end set determination module 620, for determining that the described set meeting the result item design of described second parameter-configuring request is second-class set of the large end.

In the present embodiment, after described second-class large end set determination module 620 determines second-class set of the large end, can adjust back and perform described call request respond module 616.

Preferably, described call request respond module 616 can also comprise: the 3rd acquisition module 61610 and the 3rd determination module 61612, or the 4th acquisition module 61614 and the 4th determination module 61616.

Preferably, described after described second-class large end set determination module 620 determines second-class set of the large end readjustment perform described call request respond module 616 and can be specifically: after described second-class large end set determination module 620 determines second-class set of the large end, readjustment performs the 3rd acquisition module 61610 under described call request respond module 616.

3rd acquisition module 61610, for responding described call request, obtaining the described second-class large end set result items object that indicate corresponding to the described project information that predicts the outcome and occuring simultaneously, obtaining the second common factor.

3rd determination module 61612, for determining that the result project in described second common factor is described expected result project.Wherein, described expected result project is zero or one or multiple.

Now, described offset data treating apparatus end-of-job.

Preferably another, described after described second-class large end set determination module 620 determines second-class set of the large end readjustment perform described call request respond module 616 and can be specifically: after described second-class large end set determination module 620 determines second-class set of the large end, readjustment performs the 4th acquisition module 61614 under described call request respond module 616.

4th acquisition module 61614, for responding described call request, obtaining the described second-class large end set result items object difference set that indicate corresponding to the described project information that predicts the outcome, obtaining the second difference set.

4th determination module 61616, for determining that the result project in described second difference set is described expected result project.Wherein, described expected result project is zero or one or multiple.

Now, described offset data treating apparatus end-of-job.

For said apparatus embodiment, due to itself and embodiment of the method basic simlarity, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.

Embodiment six

In the present embodiment, provide a kind of electronic equipment, the offset data treating apparatus in above-described embodiment four is provided with in this electronic equipment, or, be provided with in this electronic equipment in above-described embodiment five and one or more Optimization Compensation data processing equipments after multiple optimization carried out to the device of embodiment four.This electronic equipment for realizing the offset data disposal route in preceding method embodiment, and has the beneficial effect of corresponding embodiment of the method, does not repeat them here.

Intrinsic not relevant to any certain computer, virtual system or miscellaneous equipment with display at this algorithm provided.Various general-purpose system also can with use based on together with this teaching.According to description above, the structure constructed required by this type systematic is apparent.In addition, the present invention is not also for any certain programmed language.It should be understood that and various programming language can be utilized to realize content of the present invention described here, and the description done language-specific is above to disclose preferred forms of the present invention.

In instructions provided herein, describe a large amount of detail.But can understand, embodiments of the invention can be put into practice when not having these details.In some instances, be not shown specifically known method, structure and technology, so that not fuzzy understanding of this description.

Similarly, be to be understood that, in order to simplify the disclosure and to help to understand in each inventive aspect one or more, in the description above to exemplary embodiment of the present invention, each feature of the present invention is grouped together in single embodiment, figure or the description to it sometimes.But, the method for the disclosure should be construed to the following intention of reflection: namely the present invention for required protection requires feature more more than the feature clearly recorded in each claim.Or rather, as claims below reflect, all features of disclosed single embodiment before inventive aspect is to be less than.Therefore, the claims following embodiment are incorporated to this embodiment thus clearly, and wherein each claim itself is as independent embodiment of the present invention.

Those skilled in the art are appreciated that and adaptively can change the module in the equipment in embodiment and they are arranged in one or more equipment different from this embodiment.Module in embodiment or unit or assembly can be combined into a module or unit or assembly, and multiple submodule or subelement or sub-component can be put them in addition.Except at least some in such feature and/or process or unit be mutually repel except, any combination can be adopted to combine all processes of all features disclosed in this instructions (comprising adjoint claim, summary and accompanying drawing) and so disclosed any method or equipment or unit.Unless expressly stated otherwise, each feature disclosed in this instructions (comprising adjoint claim, summary and accompanying drawing) can by providing identical, alternative features that is equivalent or similar object replaces.

In addition, those skilled in the art can understand, although embodiments more described herein to comprise in other embodiment some included feature instead of further feature, the combination of the feature of different embodiment means and to be within scope of the present invention and to form different embodiments.Such as, in the following claims, the one of any of embodiment required for protection can use with arbitrary array mode.

All parts embodiment of the present invention with hardware implementing, or can realize with the software module run on one or more processor, or realizes with their combination.It will be understood by those of skill in the art that the some or all functions that microprocessor or digital signal processor (DSP) can be used in practice to realize according to the some or all parts in the offset data treatment facility of the embodiment of the present invention.The present invention can also be embodied as part or all equipment for performing method as described herein or device program (such as, computer program and computer program).Realizing program of the present invention and can store on a computer-readable medium like this, or the form of one or more signal can be had.Such signal can be downloaded from internet website and obtain, or provides on carrier signal, or provides with any other form.

The present invention will be described instead of limit the invention to it should be noted above-described embodiment, and those skilled in the art can design alternative embodiment when not departing from the scope of claims.In the claims, any reference symbol between bracket should be configured to limitations on claims.Word " comprises " not to be got rid of existence and does not arrange element in the claims or step.Word "a" or "an" before being positioned at element is not got rid of and be there is multiple such element.The present invention can by means of including the hardware of some different elements and realizing by means of the computing machine of suitably programming.In the unit claim listing some devices, several in these devices can be carry out imbody by same hardware branch.Word first, second and third-class use do not represent any order.Can be title by these word explanations.

The invention discloses A1, a kind of offset data disposal route, comprising:

A2, method as described in A1, described according to integer processing rule, described one or more result project is sorted by the size of described project score value, comprising:

Described one or more result project is divided into corresponding multiple groupings according to multiple preset integer score value varied in size;

Respectively the result project in each grouping after dividing is sorted according to the size of project score value corresponding to each result project.

A3, method as described in A2, be describedly divided into corresponding multiple groupings by described one or more result project according to multiple preset integer score value varied in size, and comprising:

According to the preset integer score value that n-th grade of corresponding m varies in size, by described n-th grade, be divided into k one or more result projects of dividing into groups and be divided into k+m grouping;

Wherein, the one or more projects being divided into k+m grouping described in are (n+1)th grade; N, k and m are the integer being more than or equal to 1.

A4, method as described in A1, before the step of described response call request, described method also comprises:

Respond the first parameter-configuring request, from the one or more result projects after sequence, screening is met the result project of described first parameter-configuring request; Wherein, described first parameter-configuring request comprises: the sequence sequence number meeting established standards;

Determine that the described set meeting the result item design of described first parameter-configuring request is the set of the large end.

A5, method as described in A4, described response call request, from the one or more result projects after sequence, screening obtains the expected result project matched with described call request, comprising:

Respond described call request, obtain the described large end set result items object that indicate corresponding to the described project information that predicts the outcome and occur simultaneously, obtain the first common factor;

Determine that the result project in described first common factor is described expected result project; Wherein, described expected result project is zero or one or multiple.

A6, method as described in A4, described response call request, from the one or more result projects after sequence, screening obtains the expected result project matched with described call request, comprising:

Respond described call request, obtain the described large end set result items object difference set that indicate corresponding to the described project information that predicts the outcome, obtain the first difference set;

Determine that the result project in described first difference set is described expected result project; Wherein, described expected result project is zero or one or multiple.

A7, method as described in A4, described determine that the described result project meeting described first parameter-configuring request is the step of set of the large end after, described method also comprises:

Respond the second parameter-configuring request, from described set of the large end, screening is met the result project of described second parameter-configuring request; Wherein, the second parameter-configuring request comprises: meet the result items object quantity imposed a condition;

Determine that the described set meeting the result item design of described second parameter-configuring request is second-class set of the large end.

A8, method as described in A7, described response call request, from the one or more result projects after sequence, screening obtains the expected result project matched with described call request, comprising:

Respond described call request, obtain the described second-class large end set result items object that indicate corresponding to the described project information that predicts the outcome and occur simultaneously, obtain the second common factor;

Determine that the result project in described second common factor is described expected result project; Wherein, described expected result project is zero or one or multiple.

A9, method as described in A7, described response call request, from the one or more result projects after sequence, screening obtains the expected result project matched with described call request, comprising:

Respond described call request, obtain the described second-class large end set result items object difference set that indicate corresponding to the described project information that predicts the outcome, obtain the second difference set;

Determine that the result project in described second difference set is described expected result project; Wherein, described expected result project is zero or one or multiple.

A10, method as described in A4, described in there is incidence relation multiple events comprise: 14 events with incidence relation; Described 14 events corresponding 3 kinds of event result separately with incidence relation; Then,

Described response first parameter-configuring request, from the one or more result projects after sequence, screening is met the result project of described first parameter configuration, comprising:

Respond the first parameter-configuring request, after sequence 3 ¹⁴in individual result project before selected and sorted the result project of 2,000,000 or front 1,000,000 or front 2048 as the element in the set of the described large end; Wherein, described first parameter-configuring request comprises: sort in front 2,000,000 or front 1,000,000 or front 2048 any one.

A11, method as described in A1, the described offset obtaining event result from third party, comprising:

Multiple sample compensation values corresponding to same event result are obtained from multiple third party;

The mean value getting described multiple sample compensation value is as offset corresponding to each event result.

A12, method as described in A1, described according to setting rule, offset corresponding to each event result in described one or more result project is respectively normalized, and obtains result items object project score value, comprising:

According to any one in arithmetic, the offset corresponding to each event result in described one or more result project is sued for peace, ask poor, quadrature and ask one in business's computing, obtains project score value.

The invention also discloses B13, a kind of offset data treating apparatus, comprising:

B14, device as described in B13, described order module, comprising:

Integer divides module, for described one or more result project is divided into corresponding multiple groupings according to multiple preset integer score value varied in size;

Integer order module, for sorting according to the size of project score value corresponding to each result project to the result project in each grouping after dividing respectively.

B15, device as described in B14,

Described integer divides module, specifically for according to n-th grade of corresponding m preset integer score value varied in size, by described n-th grade, be divided into k one or more result projects of dividing into groups and be divided into k+m grouping;

B16, device as described in B13, described device also comprises:

First respond module, for before described call request respond module response call request, respond the first parameter-configuring request, from the one or more result projects after sequence, screening is met the result project of described first parameter-configuring request; Wherein, described first parameter-configuring request comprises: the sequence sequence number meeting established standards;

Large end set determination module, for determining that the described set meeting the result item design of described first parameter-configuring request is the set of the large end.

B17, device as described in B16, described call request respond module, comprising:

First acquisition module, for responding described call request, obtaining the described large end set result items object that indicate corresponding to the described project information that predicts the outcome and occuring simultaneously, obtaining the first common factor;

First determination module, for determining that the result project in described first common factor is described expected result project; Wherein, described expected result project is zero or one or multiple.

B18, device as described in B16, described call request respond module, comprising:

Second acquisition module, for responding described call request, obtaining the described large end set result items object difference set that indicate corresponding to the described project information that predicts the outcome, obtaining the first difference set;

Second determination module, for determining that the result project in described first difference set is described expected result project; Wherein, described expected result project is zero or one or multiple.

B19, device as described in B16, described device also comprises:

Second respond module, after determining that the described result project meeting described first parameter-configuring request is the set of the large end at described large end set determination module, respond the second parameter-configuring request, from described set of the large end, screening is met the result project of described second parameter-configuring request; Wherein, the second parameter-configuring request comprises: meet the result items object quantity imposed a condition;

Second-class large end set determination module, for determining that the described set meeting the result item design of described second parameter-configuring request is second-class set of the large end.

B20, device as described in B19, described call request respond module, comprising:

3rd acquisition module, for responding described call request, obtaining the described second-class large end set result items object that indicate corresponding to the described project information that predicts the outcome and occuring simultaneously, obtaining the second common factor;

3rd determination module, for determining that the result project in described second common factor is described expected result project; Wherein, described expected result project is zero or one or multiple.

B21, device as described in B19, described call request respond module, comprising:

4th acquisition module, for responding described call request, obtaining the described second-class large end set result items object difference set that indicate corresponding to the described project information that predicts the outcome, obtaining the second difference set;

4th determination module, for determining that the result project in described second difference set is described expected result project; Wherein, described expected result project is zero or one or multiple.

B22, device as described in B16, described in there is incidence relation multiple events comprise: 14 events with incidence relation; Described 14 events corresponding 3 kinds of event result separately with incidence relation; Then,

Described call request respond module, specifically for responding the first parameter-configuring request, after sequence 3 ¹⁴in individual result project before selected and sorted the result project of 2,000,000 or front 1,000,000 or front 2048 as the element in the set of the described large end; Wherein, described first parameter-configuring request comprises: sort in front 2,000,000 or front 1,000,000 or front 2048 any one.

B23, device as described in B13, described offset acquisition module, comprising:

Sample acquisition module, for obtaining multiple sample compensation values corresponding to same event result from multiple third party;

Mean value acquisition module, for the mean value of getting described multiple sample compensation value as offset corresponding to each event result.

B24, device as described in B13, described processing module, specifically for according to any one in arithmetic, the offset corresponding to each event result in set is sued for peace, ask poor, quadrature and ask one in business's computing, obtains project score value.

The invention also discloses C25, a kind of electronic equipment, comprise the arbitrary described device of B13-B24.

Claims

1. an offset data disposal route, is characterized in that, comprising:

2. the method for claim 1, is characterized in that, described according to integer processing rule, sorts, comprising described one or more result project by the size of described project score value:

3. method as claimed in claim 2, is characterized in that, the described multiple groupings described one or more result project being divided into correspondence according to multiple preset integer score value varied in size, comprising:

4. the method for claim 1, is characterized in that, before the step of described response call request, described method also comprises:

5. method as claimed in claim 4, is characterized in that, described response call request, and from the one or more result projects after sequence, screening obtains the expected result project matched with described call request, comprising:

6. method as claimed in claim 4, is characterized in that, described response call request, and from the one or more result projects after sequence, screening obtains the expected result project matched with described call request, comprising:

7. method as claimed in claim 4, is characterized in that, described determine that the described result project meeting described first parameter-configuring request is the step of set of the large end after, described method also comprises:

8. method as claimed in claim 7, is characterized in that, described response call request, and from the one or more result projects after sequence, screening obtains the expected result project matched with described call request, comprising:

9. an offset data treating apparatus, is characterized in that, comprising:

10. an electronic equipment, is characterized in that, comprises device according to claim 9.