WO2017016462A1 - 根据预设模板生成模拟事件结果集合的方法及装置 - Google Patents

根据预设模板生成模拟事件结果集合的方法及装置 Download PDF

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WO2017016462A1
WO2017016462A1 PCT/CN2016/091587 CN2016091587W WO2017016462A1 WO 2017016462 A1 WO2017016462 A1 WO 2017016462A1 CN 2016091587 W CN2016091587 W CN 2016091587W WO 2017016462 A1 WO2017016462 A1 WO 2017016462A1
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event
simulated
result
event result
events
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French (fr)
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黄习锋
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Beijing Qihoo Technology Co Ltd
Qizhi Software Beijing Co Ltd
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Beijing Qihoo Technology Co Ltd
Qizhi Software Beijing Co Ltd
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/38—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

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  • the present invention relates to the field of Internet technologies, and in particular, to a method, an apparatus, and an electronic device for generating a simulated event result set according to a preset template.
  • data processing is required, including processing and processing of various raw data for analysis, sorting, calculation, editing, and the like.
  • the original data can also be called sample data
  • the sample data is the basis for large data processing, and the sample data needs to be acquired before the big data processing.
  • sample data sets are obtained through questionnaires and the like.
  • collecting the sample data set will cost a lot of labor cost and time cost. It is therefore desirable to find a workable solution to reduce the labor and time costs involved in obtaining a sample data set.
  • effective coverage of the set will have an important guiding effect on the output of the final result.
  • the present invention has been made in order to provide a method, apparatus and electronic device for generating a set of simulated event results according to a preset template, which overcomes the above problems or at least partially solves the above problems.
  • a method for generating a simulated event result set according to a preset template comprising:
  • a simulation event result of a plurality of associated events corresponding to the original data of all simulated users is collected, and a simulated event result set is obtained.
  • an apparatus for generating a simulated event result set according to a preset template comprising:
  • An obtaining module configured to acquire reference data of multiple associated events
  • the generating module is configured to import the reference data of the multiple associated events into the preset template, and generate the original data corresponding to each simulated user by using the original data and the preset algorithm of the plurality of simulated users recorded by the preset template. Simulation event results of associated events;
  • the ensemble module is adapted to collect the simulated event result of the plurality of associated events corresponding to the original data of all the simulated users generated by the generating module, to obtain a simulated event result set.
  • an electronic device comprising the above-described means for generating a simulated event result set according to a preset template.
  • the technical solution provided by the present invention generates simulation event results of multiple associated events corresponding to the original data of each simulated user according to reference data of multiple associated events, original data of multiple simulated users, and a preset algorithm, and then all A simulated event result of a plurality of associated events corresponding to the original data of the simulated user is aggregated to obtain a simulated event result set.
  • the technical solution provided by the present invention can quickly and conveniently generate a set of simulated event results according to reference data and preset templates of multiple associated events, which greatly reduces the labor cost and time cost for obtaining the event result set, and helps Follow-up data processing work.
  • FIG. 1 is a flow chart showing a method of generating a simulated event result set according to a preset template according to an embodiment of the present invention
  • Figure 2 is a schematic diagram of the selection of the 2015103 winning and losing color
  • FIG. 3 is a schematic flowchart diagram of a method for generating a simulated event result set according to a preset template according to another embodiment of the present invention
  • FIG. 4 is a schematic diagram showing the functional structure of an apparatus for generating a simulated event result set according to a preset template according to an embodiment of the present invention
  • FIG. 5 is a schematic diagram showing the functional structure of an apparatus for generating a simulated event result set according to a preset template according to another embodiment of the present invention.
  • FIG. 6 is a block diagram schematically showing a computing device for performing a method of generating a simulated event result set according to a preset template, in accordance with an embodiment of the present invention
  • FIG. 7 schematically illustrates a storage unit for maintaining or carrying program code that implements a method of generating a simulated event result set from a preset template in accordance with an embodiment of the present invention.
  • FIG. 1 shows a flow diagram of a method for generating a simulated event result set according to a preset template, wherein the simulated event result set can be understood as a simulated sample data set, in accordance with one embodiment of the present invention.
  • the method includes the following steps:
  • Step S100 Obtain reference data of multiple associated events.
  • An event having an association relationship is defined as an associated event in the present invention. For example, if there are multiple teams participating in the football World Cup, you can think of the matches between the two teams as a number of different events, because many different events belong to the football World Cup. The collection elements in the collection, so the game between two teams can be called multiple related events. Another example is the "winning color" in the football lottery, that is, the result of the competition of 14 games played by 28 teams.
  • the first prize when guessing the result of the match for all the games, the first prize, when guessing In the case of any of the 13 matches, the second prize. Since the final result of winning the game is determined by 14 games together, these 14 games can be called 14 related events with association. For another example, in the "two series one" of the football lottery, you need to guess the results of the two games. If you guess the results of the two games at the same time, you will win the prize, then consider the two games as two related events.
  • the reference data of each associated event includes one or more event result compensation values corresponding to one or more event results of the associated event.
  • the event result compensation value is used to indicate the amount of compensation when an event result of an associated event occurs.
  • the associated event 1 is Brazil vs Netherlands, and the associated event 2 is Germany vs Italy.
  • the home team wins (3 means the home team wins); the home team draws (1 means the home team level); the home team loses (0 means the home team is negative).
  • the associated event 1 3 means Brazil wins, 1 means Brazil, and 0 means Brazil.
  • X is determined according to actual conditions, and may be, but is not limited to, at least one of an amount value, an integral value, and a virtual game currency value.
  • the magnitude of the event result compensation value indirectly reflects the probability of occurrence of the corresponding event result. Specifically, the larger the event result compensation value is, the smaller the probability that the final result of the associated event is the result of the event, and the smaller the event result compensation value is, the greater the probability that the final result of the associated event is the result of the event.
  • Figure 2 is a schematic diagram of the selection of the 2015103 winning and losing color.
  • the three event outcomes (ie, 3, 1, and 0) for each game have corresponding average odds, where one match corresponds to an associated event and the average odds are used as events. Result compensation value. Therefore, in order to generate the simulated event result set, it is necessary to first obtain reference data of the 14 associated events.
  • Step S101 Import reference data of multiple associated events into a preset template, and generate multiple associations corresponding to original data of each simulated user by using original data and preset algorithms of multiple simulated users recorded by the preset template.
  • the simulated event result of the event.
  • the raw data of each simulated user includes a bet selection for 14 games.
  • a simulated event result of a plurality of associated events corresponding to the raw data of each simulated user is generated, that is, a result of 10,000 simulated matches for a plurality of associated events is generated.
  • Step S102 collecting simulated event results of multiple associated events corresponding to the original data of all simulated users, to obtain a simulated event result set.
  • the simulation event results of the plurality of associated events corresponding to the original data of all the simulated users generated in step S101 are collected, thereby obtaining a simulated event result set for reference or use by the user.
  • the method for generating a simulated event result set according to the preset template provided by the embodiment generates corresponding data corresponding to the original data of each simulated user according to reference data of multiple associated events, original data of multiple simulated users, and a preset algorithm.
  • the simulated event results of the associated events are then aggregated, and the simulated event results of the plurality of associated events corresponding to the original data of all the simulated users are collected to obtain a simulated event result set.
  • the technical solution provided by the present invention is based on reference data and presets of multiple associated events
  • the template can quickly and conveniently generate a set of simulated event results, which greatly reduces the labor cost and time cost for obtaining the event result set, and facilitates the subsequent data processing work.
  • FIG. 3 is a schematic flowchart diagram of a method for generating a simulated event result set according to a preset template according to another embodiment of the present invention. As shown in FIG. 3, the method includes the following steps:
  • Step S300 Acquire reference data of multiple associated events from multiple third parties, and average the multiple sample compensation values corresponding to the same event result of the same associated event as the corresponding event result compensation value.
  • the reference data of each associated event includes one or more event result compensation values corresponding to one or more event results of the associated event.
  • the event result compensation value is used to indicate the amount of compensation when an event result of an associated event occurs.
  • a plurality of associated events include: 14 associated events having an associated relationship, and 14 associated events each corresponding to three kinds of event results.
  • the 14 related events are 14 games, each of which corresponds to the home team wins (3 means the home team wins), the home team level (1 means the home team level) and the home team negative (0 points the home team minus) a total of 3 events.
  • the reference data of the 14 related events of the period needs to be obtained from the third party, and the reference data of each associated event includes: 3 kinds of related events The event result compensation value corresponding to the event result.
  • the reference data of the multiple associated events may be separately obtained from multiple third parties.
  • the average of the multiple sample compensation values is taken as the corresponding event result compensation value, so that the event result compensation value is more accurate.
  • the plurality of sample compensation values corresponding to the same event result of the same associated event obtained may also be processed in other manners to determine a corresponding event result compensation value.
  • Step S301 sorting a plurality of associated events according to one or more event result compensation values of each associated event.
  • a match is a related event.
  • Each game has 3 event result compensation values.
  • the minimum event result compensation value can be obtained from the 3 event result compensation values of each game, and then the compensation value is small according to the minimum event results.
  • Sorting 14 games in a large order completes the sorting of multiple associated events. The first game is called associated event 1, and the second game is called association. Event 2, and so on. As shown in Figure 2, the minimum event result compensation value of the associated event 1 is 2.00, the minimum event result compensation value of the associated event 2 is 2.28, the minimum event result compensation value of the associated event 3 is 1.78, and the minimum of the associated event 4 is 1.78.
  • the event result compensation value is 1.88, the minimum event result compensation value of the associated event 5 is 1.54, the minimum event result compensation value of the associated event 6 is 1.87, and the minimum event result compensation value of the associated event 7 is 2.50, and the associated event 8
  • the minimum event result compensation value is 1.35, the minimum event result compensation value of the associated event 9 is 1.42, the minimum event result compensation value of the associated event 10 is 2.09, and the minimum event result compensation value of the associated event 11 is 2.49.
  • the minimum event result compensation value for event 12 is 2.55, the minimum event result compensation value for associated event 13 is 1.90, and the minimum event result compensation value for associated event 14 is 1.96.
  • the 14 related events are sorted according to the order of the minimum event result compensation values from small to large, wherein the associated event 8 is ranked first and the associated event 9 is ranked second.
  • step S302 the reference data of the multiple associated events is imported into the preset template, and the original data of each simulated user with respect to the multiple associated events is mapped to the simulated event result of the multiple associated events according to a preset algorithm.
  • the raw data of each simulated user with respect to the associated event is mapped to the simulated event result corresponding to the event result compensation value of the associated event.
  • the original template and the preset algorithm of the plurality of simulated users are pre-recorded in the preset template.
  • the raw data of the simulated user 1 includes bet selections for the 14 games sorted by step S301, and the bet selection for each game is associated with the three event result compensation values for the game.
  • the simulated user 1 selects the event result corresponding to the smallest event result compensation value among the three event result compensation values, and as shown in FIG.
  • the associated event The event result corresponding to the minimum event result compensation value of 8 is negative for the main team (ie, 0); for the game ranked second, that is, the associated event 9, the simulated user 1 selects the smallest of the three event result compensation values.
  • the event result compensation value and the event result compensation value corresponding to the maximum event result compensation value as shown in FIG. 2, the event result corresponding to the minimum event result compensation value of the associated event 9 and the maximum event result compensation value is the main team win (ie, 3) Negative with the home team (ie 0).
  • the result of the event of 14 games is obtained according to the above method, thereby completing the mapping of the raw data of the simulated user 1 with respect to the 14 associated events to the simulated event result.
  • the raw data of each simulated user with respect to 14 associated events is mapped to the simulated event results of 14 associated events.
  • Step S303 sorting the simulated event results of the plurality of associated events corresponding to the original data of each simulated user according to one or more event result compensation values of each associated event.
  • step S301 Since the value is compensated according to one or more event results of each associated event in step S301, a plurality of associated events are sorted. Therefore, in step S303, it is necessary to restore the order before sorting, thereby facilitating the user to use these simulated event results.
  • Step S304 adjusting simulated event results of the plurality of associated events corresponding to the original data of the one or more simulated users according to the dynamic information.
  • the dynamic information may include: weather factors, home and away factors, historical confrontation records, team morale, agreement ball, world ranking, and main injury.
  • the main injury of the home team in a game the original event of the associated event corresponding to the original data of the simulated user 1 is the main team win, considering the dynamic information of the main injury, the original with the simulated user 1
  • the result of the event of the associated event in the simulated event result corresponding to the data is adjusted to be the primary team level.
  • Step S305 collecting simulated event results of multiple associated events corresponding to the original data of all simulated users, to obtain a simulated event result set.
  • the simulation event result of the plurality of associated events corresponding to the original data of all the simulated users obtained through the above steps is collected, and the simulated event result set is obtained for reference or use by the user.
  • the reference data of multiple associated events are respectively obtained from multiple third parties, and the original data of each simulated user with respect to multiple associated events is mapped into multiple
  • the simulated event result of the associated event is adjusted according to the dynamic information, and then the simulation event results of the plurality of associated events corresponding to the original data of all the simulated users are collected, thereby obtaining a simulated event result set.
  • the technical solution provided by the present invention can not only generate a simulation event result set quickly and conveniently, but also greatly reduce the labor cost and time cost for obtaining the event result set, and facilitate the subsequent data processing work, and comprehensively consider A third party provides reference data and dynamic information of multiple associated events, so that the obtained simulation event result set is more accurate and more valuable.
  • FIG. 4 is a schematic diagram showing the functional structure of an apparatus for generating a simulated event result set according to a preset template according to an embodiment of the present invention.
  • the apparatus includes: an obtaining module 401, a generating module 402, and a collecting module 403.
  • the obtaining module 401 is adapted to acquire reference data of a plurality of associated events.
  • the reference data of each associated event includes one or more event result compensation values corresponding to one or more event results of the associated event.
  • the event result compensation value is used to indicate the amount of compensation when an event result of an associated event occurs.
  • the generating module 402 is configured to import the reference data of the multiple associated events into the preset template, and generate original data corresponding to each simulated user by using original data and preset algorithms of the plurality of simulated users recorded by the preset template. The result of a simulated event for multiple associated events.
  • the raw data of each simulated user includes a bet selection for 14 games.
  • the generation module 402 generates simulated event results for a plurality of associated events corresponding to the raw data of each simulated user, ie, generates 10,000 simulated event results for the plurality of associated events.
  • the ensemble module 403 is adapted to collect the simulated event results of the plurality of associated events corresponding to the original data of all the simulated users generated by the generating module, to obtain a simulated event result set.
  • the collection module 403 aggregates the simulated event results of the plurality of associated events corresponding to the original data of all the simulated users generated by the generating module 402, thereby obtaining a simulated event result set for reference or use by the user.
  • the acquiring module acquires reference data of multiple associated events, and generates a plurality of associated events corresponding to the original data of each simulated user by using the generating module.
  • the result of the event is simulated, and then the simulation event result of the plurality of associated events corresponding to the original data of all the simulated users generated by the generation module is collected by the integration module, thereby obtaining a simulated event result set.
  • the technical solution provided by the present invention can quickly and conveniently generate a set of simulated event results according to reference data and preset templates of multiple associated events, which greatly reduces the labor cost and time cost for obtaining the event result set, and helps Follow-up data processing work.
  • FIG. 5 illustrates generating a simulated event result according to a preset template according to another embodiment of the present invention.
  • the apparatus includes: an obtaining module 501, a first sorting module 502, a generating module 503, a second sorting module 504, an adjusting module 505, and a collecting module 506.
  • the obtaining module 501 is configured to obtain reference data of multiple associated events from multiple third parties, and average the plurality of sample compensation values corresponding to the same event result of the same associated event as the corresponding event result compensation value. .
  • the obtaining module 501 may separately obtain reference data of multiple associated events from multiple third parties. When the same event result of the same associated event has multiple corresponding sample compensation values, the average of the multiple sample compensation values is taken as the corresponding event result compensation value, so that the event result compensation value is more accurate.
  • the obtaining module 501 may also process the plurality of sample compensation values corresponding to the same event result of the same associated event obtained by other methods, thereby determining a corresponding event result compensation value.
  • the first sorting module 502 is adapted to sort the plurality of associated events according to one or more event result compensation values of each associated event.
  • a plurality of associated events include: 14 associated events having an associated relationship, and 14 associated events each corresponding to three kinds of event results. There were 14 related events in 14 games, and the results of the three events were the main team wins and the home team Pinghe home team.
  • the first ranking module 502 can sort the 14 associated events in ascending order according to the smallest event result compensation value of each associated event.
  • the generating module 503 is configured to import the reference data of the multiple associated events into the preset template, and map the original data of each simulated user with respect to the multiple associated events into the simulated event results of the multiple associated events according to a preset algorithm.
  • the generating module 503 is further adapted to, according to the association relationship between the original data and the event result compensation value, map the original data of the associated event to the simulated event corresponding to the event result compensation value for the associated event. The result of the event.
  • the raw data of the simulated user 1 includes bet selections for the 14 games that are sorted by the first ranking module 502, and the bet selection for each game is associated with the three event result compensation values for the game.
  • the simulated user 1's original data about the associated event is mapped to the associated event.
  • the result of the simulation event corresponding to the event result compensation value.
  • the raw data for each of the simulated users for 14 associated events is mapped to the simulated event results for 14 associated events.
  • the second ranking module 504 is adapted to sort the simulated event results of the plurality of associated events corresponding to the raw data of each simulated user according to one or more event result compensation values of each associated event.
  • the first ranking module 502 compensates for values based on one or more event results for each associated event, the plurality of associated events are ordered. Therefore, the order before sorting needs to be restored by the second sorting module 504, thereby facilitating the user to use these simulated event results.
  • the adjustment module 505 is adapted to adjust the simulated event results of the plurality of associated events corresponding to the original data of the one or more simulated users according to the dynamic information.
  • the adjustment module 505 also needs to adjust the simulated event results of the plurality of associated events corresponding to the original data of the one or more simulated users according to the dynamic information.
  • the dynamic information may include: weather factors, home and away factors, historical confrontation records, team morale, agreement ball, world ranking, and main injury.
  • the main team's main injury in a game the original event corresponding to the original data of the simulated user 1 results in the main team wins, but considering the dynamic information of the main injury, it can be compared with the simulated user 1
  • the result of the event of the associated event in the simulated event result corresponding to the original data is adjusted to be the primary team level.
  • the ensemble module 506 is adapted to collect the simulated event results of the plurality of associated events corresponding to the original data of all the simulated users generated by the generating module 503, to obtain a simulated event result set.
  • the collection module 506 aggregates the simulated event results of the plurality of associated events corresponding to the original data of the simulated user, and obtains a simulated event result set for reference or use by the user.
  • the acquiring module obtains reference data of multiple associated events from multiple third parties, and each simulated user is related to multiple associated events by using a generating module.
  • the raw data is mapped to the simulated event result of multiple associated events, and then adjusted by the adjustment module according to the dynamic information, and finally the simulated event result set is obtained through the collection module.
  • the technical solution provided by the present invention can not only generate a simulation event result set quickly and conveniently, but also greatly reduce the labor cost and time cost for obtaining the event result set, and facilitate the subsequent data processing work, and comprehensively consider Third
  • the reference data and dynamic information of multiple associated events are provided, so that the obtained simulation event result set is more accurate and more valuable.
  • the present invention also provides an electronic device comprising the above apparatus for generating a simulated event result set according to a preset template.
  • the electronic device is configured to implement the foregoing method for generating a simulated event result set according to the preset template, and has the beneficial effects of the corresponding method, and details are not described herein again.
  • modules in the devices of the embodiments can be adaptively changed and placed in one or more devices different from the embodiment.
  • the modules or units or components of the embodiments may be combined into one module or unit or component, and further they may be divided into a plurality of sub-modules or sub-units or sub-components.
  • any combination of the features disclosed in the specification, including the accompanying claims, the abstract and the drawings, and any methods so disclosed, or All processes or units of the device are combined.
  • Each feature disclosed in the specification, including the accompanying claims, the abstract and the drawings may be provided by the same, equivalent, or A substitute feature like a destination is substituted.
  • the various component embodiments of the present invention may be implemented in hardware, or in a software module running on one or more processors, or in a combination thereof.
  • a microprocessor or digital signal processor may be used in practice to implement some or all of the components of the apparatus for generating a simulated event result set from a preset template in accordance with an embodiment of the present invention.
  • the invention can also be implemented as a device or device program (e.g., a computer program and a computer program product) for performing some or all of the methods described herein.
  • Such a program implementing the invention may be stored on a computer readable medium or may be in the form of one or more signals. Such signals may be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.
  • FIG. 6 illustrates a computing device that can implement a method of generating a set of simulated event results from a preset template in accordance with the present invention.
  • the computing device traditionally includes a processor 610 and a computer program product or computer readable medium in the form of a storage device 620.
  • Storage device 620 can be an electronic memory such as a flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM.
  • Storage device 620 has a storage space 630 that stores program code 631 for performing any of the method steps described above.
  • storage space 630 storing program code may include respective program code 631 for implementing various steps in the above methods, respectively.
  • the program code can be read from or written to one or more computer program products.
  • These computer program products include program code carriers such as a hard disk, a compact disk (CD), a memory card, or a floppy disk.
  • a computer program product is typically a portable or fixed storage unit such as that shown in FIG.
  • the storage unit may have storage segments, storage spaces, and the like that are similarly arranged to storage device 620 in the computing device of FIG.
  • the program code can be compressed, for example, in an appropriate form.
  • the storage unit comprises computer readable code 631' for performing the steps of the method according to the invention, ie code that can be read by a processor such as 610, which when executed by the computing device causes the computing device Perform each step in the method described above Step.

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Abstract

一种根据预设模板生成模拟事件结果集合的方法、装置和电子设备，其中方法包括：获取多个关联事件的参考数据(S100)；将多个关联事件的参考数据导入至预设模板中，利用预设模板记录的多个模拟用户的原始数据和预设算法，生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果(S101)；集合所有模拟用户的原始数据对应的多个关联事件的模拟事件结果，得到模拟事件结果集合(S102)。

Description

根据预设模板生成模拟事件结果集合的方法及装置
相关申请的交叉参考
本申请主张在2015年7月28日在中国提交的中国专利申请No.201510452410.4的优先权，其全部内容通过引用包含于此。
技术领域
本发明涉及互联网技术领域，具体涉及一种根据预设模板生成模拟事件结果集合的方法、装置和电子设备。
背景技术
随着科技与人们生活水平的日益发展，数据在各个领域中已经起到了非常重要的作用。在许多领域中，都需要进行数据处理，包括对各种原始数据进行分析、整理、计算、编辑等的加工和处理。其中，原始数据还可称为样本数据，而样本数据是进行大数据处理的基础，在进行大数据处理之前都需要获取样本数据。
有些样本数据集合是通过调查问卷等形式获取的，当需要的样本数据集合包含的样本数据的量较大时，收集样本数据集合将会花费大量的人力成本与时间成本。因此人们希望能够找到可行的办法，以减少为了获取样本数据集合所花费的人力成本和时间成本。此外，对集合的有效覆盖将对最终结果的输出有重要的指导作用。
发明内容
鉴于上述问题，提出了本发明，以便提供一种克服上述问题或者至少部分地解决上述问题，而提供的一种根据预设模板生成模拟事件结果集合的方法、装置和电子设备。
根据本发明的一个方面，提供了一种根据预设模板生成模拟事件结果集合的方法，该方法包括：
获取多个关联事件的参考数据；
将多个关联事件的参考数据导入至预设模板中，利用预设模板记录的多个模拟用户的原始数据和预设算法，生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果；
集合所有模拟用户的原始数据对应的多个关联事件的模拟事件结果，得到模拟事件结果集合。
根据本发明的另一方面，提供了一种根据预设模板生成模拟事件结果集合的装置，该装置包括：
获取模块，适于获取多个关联事件的参考数据；
生成模块，适于将多个关联事件的参考数据导入至预设模板中，利用预设模板记录的多个模拟用户的原始数据和预设算法，生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果；
集合模块，适于集合生成模块生成的所有模拟用户的原始数据对应的多个关联事件的模拟事件结果，得到模拟事件结果集合。
根据本发明的又一方面，提供了一种电子设备，该电子设备包括上述根据预设模板生成模拟事件结果集合的装置。
本发明提供的技术方案根据多个关联事件的参考数据、多个模拟用户的原始数据和预设算法，生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果，然后将所有模拟用户的原始数据对应的多个关联事件的模拟事件结果进行集合，从而得到模拟事件结果集合。本发明提供的技术方案根据多个关联事件的参考数据及预设模板就可快捷方便地生成模拟事件结果集合，极大地减少了为了获取事件结果集合所花费的人力成本和时间成本，有助于后续数据处理工作的开展。
上述说明仅是本发明技术方案的概述，为了能够更清楚了解本发明的技术手段，而可依照说明书的内容予以实施，并且为了让本发明的上述和其它目的、特征和优点能够更明显易懂，以下特举本发明的具体实施方式。
附图说明
通过阅读下文优选实施方式的详细描述，各种其他的优点和益处对于本领域普通技术人员将变得清楚明了。附图仅用于示出优选实施方式的目的，而并不认为是对本发明的限制。而且在整个附图中，用相同的参考符号表示相同的部件。在附图中：
图1示出了根据本发明一个实施例的根据预设模板生成模拟事件结果集合的方法的流程示意图；
图2为2015103期胜负彩的选择示意图；
图3示出了根据本发明另一个实施例的根据预设模板生成模拟事件结果集合的方法的流程示意图；
图4示出了根据本发明一个实施例的根据预设模板生成模拟事件结果集合的装置的功能结构示意；
图5示出了根据本发明另一个实施例的根据预设模板生成模拟事件结果集合的装置的功能结构示意图；
图6示意性地示出了用于执行根据本发明实施例的根据预设模板生成模拟事件结果集合的方法的计算设备的框图；以及
图7示意性地示出了用于保持或者携带实现根据本发明实施例的根据预设模板生成模拟事件结果集合的方法的程序代码的存储单元。
具体实施方式
下面将参照附图更详细地描述本公开的示例性实施例。虽然附图中显示了本公开的示例性实施例，然而应当理解，可以以各种形式实现本公开而不应被这里阐述的实施例所限制。相反，提供这些实施例是为了能够更透彻地理解本公开，并且能够将本公开的范围完整的传达给本领域的技术人员。
图1示出了根据本发明一个实施例的根据预设模板生成模拟事件结果集合的方法的流程示意图，其中，模拟事件结果集合可理解为模拟样本数据集合。如图1所示，该方法包括如下步骤：
步骤S100，获取多个关联事件的参考数据。
如果多个不同事件是同一设定事件集合中的集合元素，则可以认为多个 事件相互之间具有关联关系，或者如果一个结果是由多个不同事件共同确定的，则也可以认为多个事件相互之间具有关联关系。在本发明中将具有关联关系的事件定义为关联事件。例如，有多支球队参加的足球世界杯比赛，则可以将多支球队两两之间的比赛看作多个不同的事件，由于多个不同的事件都属于足球世界杯比赛这一设定事件集合中的集合元素，那么多支球队两两之间的比赛可以称为多个关联事件。又如，足球彩票中的“胜负彩”，即竞猜由28支球队所进行的14场比赛的比赛结果，当猜对所有场次比赛的比赛结果时，则中一等奖，当猜对其中任意13场比赛的比赛结果时，则中二等奖。由于胜负彩的最终结果是由14场比赛共同确定的，因此，这14场比赛可称为具有关联关系的14个关联事件。再如，在足球彩票“二串一”中需要竞猜两场比赛的比赛结果，如果同时猜对两场比赛的比赛结果，则中奖，那么将这两场比赛看作两个关联事件。
其中，每个关联事件的参考数据包括：该关联事件的一种或多种事件结果相对应的一个或多个事件结果补偿值。而事件结果补偿值则用于表示当一个关联事件的一种事件结果发生时的补偿量。
假设在足球彩票“二串一”中，关联事件1为巴西VS荷兰，关联事件2为德国VS意大利。每一场比赛均有3种比赛结果，也就是3种事件结果：主队胜(以3表示主队胜)；主队平(以1表示主队平)；主队负(以0表示主队负)。针对关联事件1，以3表示巴西胜，以1表示巴西平，以0表示巴西负。
然而在关联事件1对应的比赛结束之前，都无法确定最终的事件结果是3、是1还是0。一般情况下，许多第三方会预先给出与关联事件1的3种事件结果相对应的3个事件结果补偿值。例如，根据历史比赛结果，在最近的10场巴西VS荷兰的比赛中，有8场比赛的比赛结果都是巴西胜，则可以预测上述关联事件1的最终事件结果是巴西胜的可能性大于荷兰胜的可能性。此时，第三方一般给出的关联事件1的3种事件结果相对应的3个事件结果补偿值分别是：巴西胜的事件结果补偿值为1，巴西平的事件结果补偿值为3，巴西负的事件结果补偿值为6。也就是说，如果预先选择了巴西胜这一事件结果作为关联事件1的最终事件结果，则当关联事件1最终完成时的事件 结果是巴西胜时，则以X*1的补偿量进行补偿；如果预先选择了巴西负这一事件结果作为关联事件1的最终事件结果，则当关联事件1最终完成时的事件结果是巴西负时，则以X*6的补偿量进行补偿。其中，X根据实际情况确定，可以但不仅限于是金额值、积分值和虚拟的游戏货币值中的至少一种。
由此可知，事件结果补偿值的大小间接反映了与之对应的事件结果发生的概率。具体地，事件结果补偿值越大则说明关联事件的最终结果为该事件结果的可能性越小，事件结果补偿值越小则说明关联事件的最终结果为该事件结果的可能性越大。
假设所要得到的模拟事件结果集合是关于2015103期胜负彩的投注集合。图2为2015103期胜负彩的选择示意图。如图2所示，每一场比赛的3种事件结果(即3、1和0)都有相应的平均赔率，其中，一场比赛对应为一个关联事件，并可将平均赔率作为事件结果补偿值。因此，为了生成该模拟事件结果集合，需要首先获取这14个关联事件的参考数据。
步骤S101，将多个关联事件的参考数据导入至预设模板中，利用预设模板记录的多个模拟用户的原始数据和预设算法，生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果。
假设预设模板中预先记录有10000个模拟用户的原始数据，每个模拟用户的原始数据包括对14场比赛的投注选择。结合预设算法，生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果，即生成了10000个关于多个关联事件的模拟比赛的结果。
步骤S102，集合所有模拟用户的原始数据对应的多个关联事件的模拟事件结果，得到模拟事件结果集合。
将步骤S101所生成的所有模拟用户的原始数据对应的多个关联事件的模拟事件结果进行集合，从而得到模拟事件结果集合，供用户参考或使用。
本实施例提供的根据预设模板生成模拟事件结果集合的方法，根据多个关联事件的参考数据、多个模拟用户的原始数据和预设算法，生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果，然后将所有模拟用户的原始数据对应的多个关联事件的模拟事件结果进行集合，从而得到模拟事件结果集合。本发明提供的技术方案根据多个关联事件的参考数据及预设 模板就可快捷方便地生成模拟事件结果集合，极大地减少了为了获取事件结果集合所花费的人力成本和时间成本，有助于后续数据处理工作的开展。
图3示出了根据本发明另一个实施例的根据预设模板生成模拟事件结果集合的方法的流程示意图，如图3所示，该方法包括如下步骤：
步骤S300，从多个第三方分别获取多个关联事件的参考数据，将获取到的同一关联事件的同一事件结果相对应的多个样本补偿值取平均值作为对应的事件结果补偿值。
其中，每个关联事件的参考数据包括：该关联事件的一种或多种事件结果相对应的一个或多个事件结果补偿值。而事件结果补偿值则用于表示当一个关联事件的一种事件结果发生时的补偿量。
以足球彩票中的胜负彩为例，多个关联事件包括：具有关联关系的14个关联事件，并且14个关联事件各自对应3种事件结果。这14个关联事件是14场比赛，每一个关联事件都对应主队胜(以3表示主队胜)、主队平(以1表示主队平)以及主队负(以0表示主队负)一共3种事件结果。假设用户想要获得2015103期胜负彩投注的模拟事件结果集合，则需要从第三方获取该期的14个关联事件的参考数据，每个关联事件的参考数据包括：与该关联事件的3种事件结果相对应的事件结果补偿值。
为了使获取的多个关联事件的参考数据更加准确，可从多个第三方分别获取多个关联事件的参考数据。当所获取的同一关联事件的同一事件结果具有多个相对应的样本补偿值时，取多个样本补偿值的平均值作为对应的事件结果补偿值，从而使得事件结果补偿值更加准确。也可通过其他的方式对获取到的同一关联事件的同一事件结果相对应的多个样本补偿值进行处理，从而确定对应的事件结果补偿值。
步骤S301，根据每个关联事件的一个或多个事件结果补偿值，对多个关联事件进行排序。
一场比赛为一个关联事件，每场比赛有3个事件结果补偿值，可以从每场比赛的3个事件结果补偿值中获取最小的事件结果补偿值，然后根据这些最小的事件结果补偿值从小到大的顺序对14场比赛进行排序，从而完成了多个关联事件的排序。将第1场比赛称为关联事件1，第2场比赛称为关联 事件2，以此类推。如图2所示，关联事件1的最小的事件结果补偿值为2.00，关联事件2的最小的事件结果补偿值为2.28，关联事件3的最小的事件结果补偿值为1.78，关联事件4的最小的事件结果补偿值为1.88，关联事件5的最小的事件结果补偿值为1.54，关联事件6的最小的事件结果补偿值为1.87，关联事件7的最小的事件结果补偿值为2.50，关联事件8的最小的事件结果补偿值为1.35，关联事件9的最小的事件结果补偿值为1.42、关联事件10的最小的事件结果补偿值为2.09，关联事件11的最小的事件结果补偿值为2.49，关联事件12的最小的事件结果补偿值为2.55，关联事件13的最小的事件结果补偿值为1.90，关联事件14的最小的事件结果补偿值为1.96。根据这些最小的事件结果补偿值从小到大的顺序对14个关联事件进行排序，其中关联事件8排在第1位，关联事件9排在第2位。
步骤S302，将多个关联事件的参考数据导入至预设模板中，按照预设算法，将每个模拟用户关于多个关联事件的原始数据映射为多个关联事件的模拟事件结果。
具体地，针对一个关联事件，根据原始数据与事件结果补偿值的关联关系，将每个模拟用户关于该关联事件的原始数据映射为该关联事件的与事件结果补偿值对应的模拟事件结果。
其中，预设模板中预先记录有多个模拟用户的原始数据和预设算法。例如，模拟用户1的原始数据包括对经步骤S301排序后的14场比赛的投注选择，且每场比赛的投注选择都与该场比赛的3个事件结果补偿值有着关联关系。具体地，针对排在第1位的比赛，即关联事件8，模拟用户1选择的是3个事件结果补偿值中的最小的事件结果补偿值相对应的事件结果，结合图2可知，关联事件8的最小的事件结果补偿值相对应的事件结果为主队负(即0)；针对排在第2位的比赛，即关联事件9，模拟用户1选择的是3个事件结果补偿值中的最小的事件结果补偿值和最大的事件结果补偿值相对应的事件结果，结合图2可知，关联事件9的最小的事件结果补偿值和最大的事件结果补偿值相对应的事件结果为主队胜(即3)和主队负(即0)。按照上述方法获得14场比赛的事件结果，从而完成模拟用户1关于14个关联事件的原始数据对模拟事件结果的映射。
按照同种方法，将每个模拟用户关于14个关联事件的原始数据都映射为14个关联事件的模拟事件结果。
步骤S303，根据每个关联事件的一个或多个事件结果补偿值，对与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果进行排序。
由于在步骤S301中根据每个关联事件的一个或多个事件结果补偿值，对多个关联事件进行过排序。因此，步骤S303中需要还原排序之前的顺序，从而方便用户使用这些模拟事件结果。
步骤S304，根据动态信息对与一个或多个模拟用户的原始数据对应的多个关联事件的模拟事件结果进行调整。
为了获得更加准确的模拟事件结果集合，还需要根据动态信息对与一个或多个模拟用户的原始数据对应的多个关联事件的模拟事件结果进行调整。针对足球彩票胜负彩的例子，动态信息可包括：天气因素、主客场因素、历史交锋记录、球队的斗志、协议球、世界排名以及主力伤停等。例如，某场比赛中的主队的主力伤停，原本与模拟用户1的原始数据对应的该关联事件的事件结果为主队胜，考虑到主力伤停的动态信息，可将与模拟用户1的原始数据对应的模拟事件结果中该关联事件的事件结果调整为主队平。
步骤S305，集合所有模拟用户的原始数据对应的多个关联事件的模拟事件结果，得到模拟事件结果集合。
将经过上述步骤得到的所有模拟用户的原始数据对应的多个关联事件的模拟事件结果进行集合，就可得到模拟事件结果集合，供用户参考或使用。
根据本实施例提供的根据预设模板生成模拟事件结果集合的方法，从多个第三方分别获取多个关联事件的参考数据，将每个模拟用户关于多个关联事件的原始数据映射为多个关联事件的模拟事件结果，并根据动态信息对其进行调整，然后将所有模拟用户的原始数据对应的多个关联事件的模拟事件结果进行集合，从而得到模拟事件结果集合。根据本发明提供的技术方案不仅可快捷方便地生成模拟事件结果集合，极大地减少为了获取事件结果集合所花费的人力成本和时间成本，有助于后续数据处理工作的开展，而且通过综合考虑多个第三方提供多个关联事件的参考数据与动态信息，使获得的模拟事件结果集合更加准确、更加具有参考价值。
图4示出了根据本发明一个实施例的根据预设模板生成模拟事件结果集合的装置的功能结构示意图，如图4所示，该装置包括：获取模块401、生成模块402和集合模块403。
获取模块401，适于获取多个关联事件的参考数据。
其中，每个关联事件的参考数据包括：该关联事件的一种或多种事件结果相对应的一个或多个事件结果补偿值。而事件结果补偿值则用于表示当一个关联事件的一种事件结果发生时的补偿量。
生成模块402，适于将多个关联事件的参考数据导入至预设模板中，利用预设模板记录的多个模拟用户的原始数据和预设算法，生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果。
假设预设模板中预先记录有10000个模拟用户的原始数据，每个模拟用户的原始数据包括对14场比赛的投注选择。结合预设算法，生成模块402生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果，即生成了10000个关于多个关联事件的模拟事件结果。
集合模块403，适于集合生成模块生成的所有模拟用户的原始数据对应的多个关联事件的模拟事件结果，得到模拟事件结果集合。
集合模块403将生成模块402生成的所有模拟用户的原始数据对应的多个关联事件的模拟事件结果进行集合，从而得到模拟事件结果集合，供用户参考或使用。
根据本实施例提供的根据预设模板生成模拟事件结果集合的装置，通过获取模块获取多个关联事件的参考数据，并通过生成模块生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果，然后通过集成模块将生成模块生成的所有模拟用户的原始数据对应的多个关联事件的模拟事件结果进行集合，从而得到模拟事件结果集合。本发明提供的技术方案根据多个关联事件的参考数据及预设模板就可快捷方便地生成模拟事件结果集合，极大地减少了为了获取事件结果集合所花费的人力成本和时间成本，有助于后续数据处理工作的开展。
图5示出了根据本发明另一个实施例的根据预设模板生成模拟事件结果 集合的装置的功能结构示意图，如图5所示，该装置包括：获取模块501、第一排序模块502、生成模块503、第二排序模块504、调整模块505和集合模块506。
获取模块501，适于从多个第三方分别获取多个关联事件的参考数据，将获取到的同一关联事件的同一事件结果相对应的多个样本补偿值取平均值作为对应的事件结果补偿值。
为了使获取的多个关联事件的参考数据更加准确，获取模块501可从多个第三方分别获取多个关联事件的参考数据。当所获取的同一关联事件的同一事件结果具有多个相对应的样本补偿值时，取多个样本补偿值的平均值作为对应的事件结果补偿值，从而使得事件结果补偿值更加准确。获取模块501也可通过其他的方式对获取到的同一关联事件的同一事件结果相对应的多个样本补偿值进行处理，从而确定对应的事件结果补偿值。
第一排序模块502，适于根据每个关联事件的一个或多个事件结果补偿值，对多个关联事件进行排序。
以足球彩票胜负彩为例，多个关联事件包括：具有关联关系的14个关联事件，并且14个关联事件各自对应3种事件结果。14场比赛为14个关联事件，3种事件结果分别为主队胜、主队平和主队负。第一排序模块502可根据每个关联事件的最小的事件结果补偿值，按照从小到大的顺序对14个关联事件进行排序。
生成模块503，适于将多个关联事件的参考数据导入至预设模板中，按照预设算法，将每个模拟用户关于多个关联事件的原始数据映射为多个关联事件的模拟事件结果。
生成模块503进一步适于：针对一个关联事件，根据原始数据与事件结果补偿值的关联关系，将每个模拟用户关于该关联事件的原始数据映射为该关联事件的与事件结果补偿值对应的模拟事件结果。
例如，模拟用户1的原始数据包括对第一排序模块502排序得到的14场比赛的投注选择，且每场比赛的投注选择都与该场比赛的3个事件结果补偿值有着关联关系。针对一个关联事件，根据原始数据与事件结果补偿值的关联关系，将模拟用户1关于该关联事件的原始数据映射为该关联事件的与 事件结果补偿值对应的模拟事件结果。同样，将每个模拟用户关于14个关联事件的原始数据都映射为14个关联事件的模拟事件结果。
第二排序模块504，适于根据每个关联事件的一个或多个事件结果补偿值，对与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果进行排序。
由于第一排序模块502根据每个关联事件的一个或多个事件结果补偿值，对多个关联事件进行过排序。因此，需要通过第二排序模块504还原排序之前的顺序，从而方便用户使用这些模拟事件结果。
调整模块505，适于根据动态信息对与一个或多个模拟用户的原始数据对应的多个关联事件的模拟事件结果进行调整。
为了获得更加准确的模拟事件结果集合，还需要通过调整模块505根据动态信息对与一个或多个模拟用户的原始数据对应的多个关联事件的模拟事件结果进行调整。针对足球彩票胜负彩的例子，动态信息可包括：天气因素、主客场因素、历史交锋记录、球队的斗志、协议球、世界排名以及主力伤停等。例如，某场比赛中的主队的主力伤停，原本与模拟用户1的原始数据对应的该关联事件的事件结果为主队胜，但是考虑到主力伤停的动态信息，可将与模拟用户1的原始数据对应的模拟事件结果中该关联事件的事件结果调整为主队平。
集合模块506，适于集合生成模块503生成的所有模拟用户的原始数据对应的多个关联事件的模拟事件结果，得到模拟事件结果集合。
集合模块506将所有模拟用户的原始数据对应的多个关联事件的模拟事件结果进行集合，就可得到模拟事件结果集合，供用户参考或使用。
根据本实施例提供的根据预设模板生成模拟事件结果集合的装置，通过获取模块从多个第三方分别获取多个关联事件的参考数据，并通过生成模块将每个模拟用户关于多个关联事件的原始数据映射为多个关联事件的模拟事件结果，然后通过调整模块根据动态信息对其进行调整，最后通过集合模块得到模拟事件结果集合。根据本发明提供的技术方案不仅可快捷方便地生成模拟事件结果集合，极大地减少为了获取事件结果集合所花费的人力成本和时间成本，有助于后续数据处理工作的开展，而且通过综合考虑多个第三 方提供多个关联事件的参考数据与动态信息，使获得的模拟事件结果集合更加准确、更加具有参考价值。
本发明还提供了一种电子设备，该电子设备包括上述根据预设模板生成模拟事件结果集合的装置。该电子设备用于实现上述根据预设模板生成模拟事件结果集合的方法，并具有相应的方法的有益效果，在此不再赘述。
在此提供的算法和显示不与任何特定计算机、虚拟系统或者其它设备固有相关。各种通用系统也可以与基于在此的示教一起使用。根据上面的描述，构造这类系统所要求的结构是显而易见的。此外，本发明也不针对任何特定编程语言。应当明白，可以利用各种编程语言实现在此描述的本发明的内容，并且上面对特定语言所做的描述是为了披露本发明的最佳实施方式。
在此处所提供的说明书中，说明了大量具体细节。然而，能够理解，本发明的实施例可以在没有这些具体细节的情况下实践。在一些实例中，并未详细示出公知的方法、结构和技术，以便不模糊对本说明书的理解。
类似地，应当理解，为了精简本公开并帮助理解各个发明方面中的一个或多个，在上面对本发明的示例性实施例的描述中，本发明的各个特征有时被一起分组到单个实施例、图、或者对其的描述中。然而，并不应将该公开的方法解释成反映如下意图：即所要求保护的本发明要求比在每个权利要求中所明确记载的特征更多的特征。更确切地说，如下面的权利要求书所反映的那样，发明方面在于少于前面公开的单个实施例的所有特征。因此，遵循具体实施方式的权利要求书由此明确地并入该具体实施方式，其中每个权利要求本身都作为本发明的单独实施例。
本领域那些技术人员可以理解，可以对实施例中的设备中的模块进行自适应性地改变并且把它们设置在与该实施例不同的一个或多个设备中。可以把实施例中的模块或单元或组件组合成一个模块或单元或组件，以及此外可以把它们分成多个子模块或子单元或子组件。除了这样的特征和/或过程或者单元中的至少一些是相互排斥之外，可以采用任何组合对本说明书(包括伴随的权利要求、摘要和附图)中公开的所有特征以及如此公开的任何方法或者设备的所有过程或单元进行组合。除非另外明确陈述，本说明书(包括伴随的权利要求、摘要和附图)中公开的每个特征可以由提供相同、等同或相 似目的的替代特征来代替。
此外，本领域的技术人员能够理解，尽管在此所述的一些实施例包括其它实施例中所包括的某些特征而不是其它特征，但是不同实施例的特征的组合意味着处于本发明的范围之内并且形成不同的实施例。例如，在下面的权利要求书中，所要求保护的实施例的任意之一都可以以任意的组合方式来使用。
本发明的各个部件实施例可以以硬件实现，或者以在一个或者多个处理器上运行的软件模块实现，或者以它们的组合实现。本领域的技术人员应当理解，可以在实践中使用微处理器或者数字信号处理器(DSP)来实现根据本发明实施例的根据预设模板生成模拟事件结果集合的装置中的一些或者全部部件的一些或者全部功能。本发明还可以实现为用于执行这里所描述的方法的一部分或者全部的设备或者装置程序(例如，计算机程序和计算机程序产品)。这样的实现本发明的程序可以存储在计算机可读介质上，或者可以具有一个或者多个信号的形式。这样的信号可以从因特网网站上下载得到，或者在载体信号上提供，或者以任何其他形式提供。
例如，图6示出了可以实现根据本发明的根据预设模板生成模拟事件结果集合的方法的计算设备。该计算设备传统上包括处理器610和以存储设备620形式的计算机程序产品或者计算机可读介质。存储设备620可以是诸如闪存、EEPROM(电可擦除可编程只读存储器)、EPROM、硬盘或者ROM之类的电子存储器。存储设备620具有存储用于执行上述方法中的任何方法步骤的程序代码631的存储空间630。例如，存储程序代码的存储空间630可以包括分别用于实现上面的方法中的各种步骤的各个程序代码631。这些程序代码可以从一个或者多个计算机程序产品中读出或者写入到这一个或者多个计算机程序产品中。这些计算机程序产品包括诸如硬盘、紧致盘(CD)、存储卡或者软盘之类的程序代码载体。这样的计算机程序产品通常为例如图7所示的便携式或者固定存储单元。该存储单元可以具有与图6的计算设备中的存储设备620类似布置的存储段、存储空间等。程序代码可以例如以适当形式进行压缩。通常，存储单元包括用于执行根据本发明的方法步骤的计算机可读代码631＇，即可以由诸如610之类的处理器读取的代码，当这些代码由计算设备运行时，导致该计算设备执行上面所描述的方法中的各个步 骤。
应该注意的是上述实施例对本发明进行说明而不是对本发明进行限制，并且本领域技术人员在不脱离所附权利要求的范围的情况下可设计出替换实施例。在权利要求中，不应将位于括号之间的任何参考符号构造成对权利要求的限制。单词“包含”不排除存在未列在权利要求中的元件或步骤。位于元件之前的单词“一”或“一个”不排除存在多个这样的元件。本发明可以借助于包括有若干不同元件的硬件以及借助于适当编程的计算机来实现。在列举了若干装置的单元权利要求中，这些装置中的若干个可以是通过同一个硬件项来具体体现。单词第一、第二、以及第三等的使用不表示任何顺序。可将这些单词解释为名称。

Claims (21)

  1. 一种根据预设模板生成模拟事件结果集合的方法，所述方法包括：
    获取多个关联事件的参考数据；
    将所述多个关联事件的参考数据导入至预设模板中，利用所述预设模板记录的多个模拟用户的原始数据和预设算法，生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果；
    集合所有模拟用户的原始数据对应的多个关联事件的模拟事件结果，得到模拟事件结果集合。
  2. 根据权利要求1所述的方法，其中，每个关联事件的参考数据包括：该关联事件的一种或多种事件结果相对应的所述一个或多个事件结果补偿值。
  3. 根据权利要求2所述的方法，其中，所述事件结果补偿值用于表示当一个关联事件的一种事件结果发生时的补偿量。
  4. 根据权利要求2所述的方法，其中，所述获取多个关联事件的参考数据进一步包括：从多个第三方分别获取多个关联事件的参考数据，将获取到的同一关联事件的同一事件结果相对应的多个样本补偿值取平均值作为对应的事件结果补偿值。
  5. 根据权利要求2所述的方法，其中，在所述获取多个关联事件的参考数据之后，所述方法还包括：
    根据每个关联事件的一个或多个事件结果补偿值，对所述多个关联事件进行排序。
  6. 根据权利要求5所述的方法，其中，所述利用预设模板记录的多个模拟用户的原始数据和预设算法，生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果进一步包括：
    按照预设算法，将每个模拟用户关于多个关联事件的原始数据映射为多个关联事件的模拟事件结果。
  7. 根据权利要求6所述的方法，其中，所述将每个模拟用户关于多个 关联事件的原始数据映射为多个关联事件的模拟事件结果进一步包括：
    针对一个关联事件，根据原始数据与事件结果补偿值的关联关系，将每个模拟用户关于该关联事件的原始数据映射为该关联事件的与事件结果补偿值对应的模拟事件结果。
  8. 根据权利要求2所述的方法，其中，在所述集合所有模拟用户的原始数据对应的多个关联事件的模拟事件结果，得到模拟事件结果集合之前，所述方法还包括：根据每个关联事件的一个或多个事件结果补偿值，对所述与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果进行排序。
  9. 根据权利要求2所述的方法，其中，在所述集合所有模拟用户的原始数据对应的多个关联事件的模拟事件结果，得到模拟事件结果集合之前，所述方法还包括：根据动态信息对与一个或多个模拟用户的原始数据对应的多个关联事件的模拟事件结果进行调整。
  10. 根据权利要求1所述的方法，其中，所述多个关联事件包括：具有关联关系的14个关联事件；所述14个关联事件各自对应3种事件结果。
  11. 一种根据预设模板生成模拟事件结果集合的装置，所述装置包括：
    获取模块，适于获取多个关联事件的参考数据；
    生成模块，适于将所述多个关联事件的参考数据导入至预设模板中，利用所述预设模板记录的多个模拟用户的原始数据和预设算法，生成与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果；
    集合模块，适于集合所述生成模块生成的所有模拟用户的原始数据对应的多个关联事件的模拟事件结果，得到模拟事件结果集合。
  12. 根据权利要求11所述的装置，其中，每个关联事件的参考数据包括：该关联事件的一种或多种事件结果相对应的所述一个或多个事件结果补偿值。
  13. 根据权利要求12所述的装置，其中，所述事件结果补偿值用于表示当一个关联事件的一种事件结果发生时的补偿量。
  14. 根据权利要求12所述的装置，其中，所述获取模块进一步适于：从多个第三方分别获取多个关联事件的参考数据，将获取到的同一关联事件 的同一事件结果相对应的多个样本补偿值取平均值作为对应的事件结果补偿值。
  15. 根据权利要求12所述的装置，其中，所述装置还包括：第一排序模块，适于根据每个关联事件的一个或多个事件结果补偿值，对所述多个关联事件进行排序。
  16. 根据权利要求15所述的装置，其中，所述生成模块进一步适于：按照预设算法，将每个模拟用户关于多个关联事件的原始数据映射为多个关联事件的模拟事件结果。
  17. 根据权利要求16所述的装置，其中，所述生成模块进一步适于：针对一个关联事件，根据原始数据与事件结果补偿值的关联关系，将每个模拟用户关于该关联事件的原始数据映射为该关联事件的与事件结果补偿值对应的模拟事件结果。
  18. 根据权利要求12所述的装置，其中，所述装置还包括：第二排序模块，适于根据每个关联事件的一个或多个事件结果补偿值，对所述与每个模拟用户的原始数据对应的多个关联事件的模拟事件结果进行排序。
  19. 根据权利要求12所述的装置，其中，所述装置还包括：调整模块，适于根据动态信息对与一个或多个模拟用户的原始数据对应的多个关联事件的模拟事件结果进行调整。
  20. 根据权利要求11所述的装置，其中，所述多个关联事件包括：具有关联关系的14个关联事件；所述14个关联事件各自对应3种事件结果。
  21. 一种电子设备，包括如权利要求11-20任一项所述的根据预设模板生成模拟事件结果集合的装置。
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