CN105582673B - The method and system of object matching - Google Patents
The method and system of object matching Download PDFInfo
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- CN105582673B CN105582673B CN201510947059.6A CN201510947059A CN105582673B CN 105582673 B CN105582673 B CN 105582673B CN 201510947059 A CN201510947059 A CN 201510947059A CN 105582673 B CN105582673 B CN 105582673B
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/55—Controlling game characters or game objects based on the game progress
- A63F13/56—Computing the motion of game characters with respect to other game characters, game objects or elements of the game scene, e.g. for simulating the behaviour of a group of virtual soldiers or for path finding
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/55—Controlling game characters or game objects based on the game progress
- A63F13/58—Controlling game characters or game objects based on the game progress by computing conditions of game characters, e.g. stamina, strength, motivation or energy level
Abstract
The present invention relates to a kind of method and system of object matching, and the method comprising the steps of：Match-type and the grouping of multiple characteristic values are established for object；Matching instruction is received, extracts the matched data of each object respectively according to match-type, and matched data according to each object generates corresponding characteristic value；Characteristic value according to each object judges that the characteristic value belonging to it is grouped respectively, and each object is separately dispensed into the grouping of the characteristic value belonging to it；Judge respectively the object being assigned in the grouping of each characteristic value quantity whether meet demand；If meet demand, record and remove meet demand characteristic value grouping in all objects；Otherwise, the characteristic value of unmet demand is grouped and continues distribution object.The present invention avoids occurring the phenomenon that the fight rank between the player after successful match is different influences the game experiencing of each player in sports class game, realizes the accurate Rapid matching of horizontal or classification of the same race or demand of the same race object of the same race.
Description
Technical field
The present invention relates to field of computer technology, more particularly to one kind can accurately, easily and quickly realize object matching
Method and system.
Background technology
Currently, many aspects are required for realizing the combination of two or more objects, or realize two or two
Above object forms one group of specific task of completion.For example, in sports class game, two or more players are needed
Between carry out learning from each other by exchanging views trial of strength, jointly enter athletic game realize sports.Then when starting sports, games system must be competing from participating in
Randomly selected in all players of skill number meet sports number requirement player, realize all players distribute respectively enter it is more
In group athletic game, then the players that are drawn into same group of athletic game be matched mutually learned from each other by exchanging views together compared with
The players of amount.Therefore, the players being drawn into same group of athletic game be after games system matches together
Object.
But during carrying out player matches in class game from the foregoing, it will be observed that the prior art is raced, directly in all sports
Randomly selected in player realization pairing, then be easy to cause the player being paired in same athletic game fight rank it is inconsistent or
Gap with great disparity races with comparable opponent from the player for being unable to the rank so that height is fought, it is competing to weaken player
Skill experience sense, and the case where causing the player of high fight rank to roll new hand green hand player occur, reduce the object for appreciation of each rank
The game experiencing of family.
Invention content
The shortcomings that the purpose of the present invention is to solve the above-mentioned prior arts and deficiency provide a kind of method of object matching
The method and system of object matching avoid in sports class game the shadow due to fight rank between the player after successful match is different
The phenomenon that game experiencing for ringing each player, occurs, while realizing horizontal or classification of the same race or demand of the same race object of the same race
Accurate Rapid matching improves the efficiency of object matching and intelligent.
A kind of method of object matching, includes the following steps：
Match-type and the grouping of multiple characteristic values are established for object；
Matching instruction is received, extracts the matched data of each object respectively according to match-type, and according to each object
Matched data generates corresponding characteristic value；
Characteristic value according to each object judges that the characteristic value belonging to it is grouped respectively, and each object is separately dispensed into
In characteristic value grouping belonging to it；
Judge respectively the object being assigned in the grouping of each characteristic value quantity whether meet demand；If meet demand,
Record and remove meet demand characteristic value grouping in all objects；Otherwise, to the characteristic value of unmet demand be grouped after
Continuous distribution object.
As shown from the above technical solution, the method for object matching of the invention establishes match-type and more by being directed to object
A characteristic value is grouped into all set characteristic value grouping before realization object matching；And it is extracted each according to match-type by step
The matched data of object realizes the exclusion of the extraneous data in object data and avoids the influence of extraneous data and eliminate pair
The program of extraneous data processing, improves object matching efficiency；Characteristic value is generated by matched data simultaneously, is realized according to characteristic value
The matched packet of object improves the compatible degree between the object of grouping and accuracy, realizes horizontal or same kind of the same race
Or the accurate match and intelligent Matching of the object with target of the same race.Therefore, the method for object matching of the invention can not only
The phenomenon that avoiding influencing the game experiencing of each player because of the fight rank difference between the player after successful match in game
Occur, and also achieve the accurate Rapid matching of horizontal or classification of the same race or demand of the same race object of the same race, improves object
The efficiency matched and intelligent.
Further, the step is established for object in match-type and the grouping of multiple characteristic values, the multiple characteristic value
The foundation of grouping includes the following steps：
The matched data of all objects is extracted according to match-type；
Multiple range of characteristic values are established according to all matched datas；
Multiple characteristic values are grouped correspondingly with multiple range of characteristic values respectively for generation.
Through the above steps, be conducive to the accuracy for being further ensured that the objectivity and grouping of characteristic value grouping.
Further, the step receives matching instruction, extracts the matched data of each object respectively according to match-type, and
Matched data according to each object generates corresponding characteristic value, specifically includes following steps：
Matching instruction is received, lookup and the relevant data of the match-type from the database of each object, carry respectively
Take and indicate with the relevant multiple data of match-type, as matched data；
Extract matched data after, according to match-type establish respectively with one-to-one of multiple data in matched data
Distribution coefficient；
The product of the corresponding matching factor of the multiple data is calculated separately, and obtains the matched data of each object
In all products summation, generate the characteristic value of each object.
Through the above steps, according to the actual application, the importance of all data in the matched data of object is determined
Order, and according to the importance of all data difference determine matching factors, to further improve utilize matching factor
The characteristic value for the every an object being calculated has the practical meaning that can more embody its needs or its level or its purpose or its classification
Justice, thus, it is possible to further increase the accuracy of object matching.
Further, the step judges whether the quantity for the object being assigned in each characteristic value grouping meets need respectively
It asks；If meet demand, record and remove meet demand characteristic value grouping in all objects；Otherwise, to not meeting need
The characteristic value grouping asked continues distribution object；Specifically include following steps：
The object set in each characteristic value grouping accommodates quantity；
Record is assigned to the number of objects in each characteristic value grouping；
The object for being respectively compared each characteristic value grouping accommodates the size of quantity and number of objects；If number of objects with it is right
It is consistent as accommodating population size, then it records and removes and is in number of objects and object capacity characteristic value grouping of the same size all
Object；Otherwise, number of objects is compared and continues distribution object as accommodating the small characteristic value grouping of quantity.
Through the above steps, it ensure that the number of objects in each characteristic value grouping disclosure satisfy that actual needs, keep away simultaneously
It is excessive and cause that grouping error increases and what matching speed reduced shows the number of objects in being grouped due to same group of characteristic value has been exempted from
As occurring.
Further, after completing object matching to characteristic value grouping, it is less than when needing the actual match quantity of matched object
Object in characteristic value grouping accommodates quantity, then further comprising the steps of：
Set matching value range；
The quantity characteristic value difference equal and mutual with actual match quantity is chosen from the grouping of same characteristic value is located at institute
The object within the scope of matching value is stated, multiple object matching groups are generated；
Judge whether the number of objects in each object matching group is equal with actual match quantity；If equal, match
At；Otherwise, following steps are executed：
Judge whether there is also do not match object in same group of characteristic value；If it is present continuing from same characteristic value point
Chosen in group the characteristic value of object that object enters in object matching group, and is selected with it is any right in the group objects match group
The difference of the characteristic value of elephant is located within the scope of the matching value；If it does not exist, then it fails to match, and execute following steps：
Start timing match time counting；
In the range of characteristic values that revisory eigenvalue in the timing match time is grouped, expands range of characteristic values and object accommodates number
Amount；
After timing match time counting, timing match triggering, it fails to match, and object is matched in object matching group,
And the characteristic value of it fails to match object and the difference of the characteristic value of the one pair of which elephant of the group objects match group are located at the matching
It is worth in range, matching is completed.
Through the above steps, the object matching demand to smaller number of matches is met, by being grouped in same characteristic value
Object further matches similar in middle selected characteristic value, avoids the matching operation again to the object of smaller number of matches,
The object avoided in being grouped to other feature value is analyzed, and reduces data analysis operation, to be conducive in former feature
The matching efficiency of object is improved on the basis of value grouping.Meanwhile the matched success or failure by detecting object automatically, in time
The range of characteristic values of revisory eigenvalue grouping starts matching for the object that it fails to match, enhances the success rate of object matching automatically,
Simultaneously be also beneficial to characteristic value further to actual needs, further increase the accuracy and validity of characteristic value.
Further, the method for object matching of the present invention is further comprising the steps of：
Obtain the object of successful match；
Generate the data group of multigroup classification according to the type of multiple data of matched data, and by all right of successful match
Multiple data in the matched data of elephant are extracted respectively in data group identical with its type；
Calculate separately the difference average value of all data in each data group；
Change corresponding matching factor respectively according to the size of the difference average value of each data group, realizes characteristic value
And the amendment of range of characteristic values.
Through the above steps, the object of successful match is obtained, and the matched data of the object of successful match is analyzed,
Finally by the revision for changing the range of characteristic values that matching factor realizes that characteristic value and characteristic value are grouped, be conducive to further increase
Characteristic value grouping range of characteristic values and characteristic value and practical application compactness, to further increase matching object between
Phase recency also improves the successful probability of object matching.
Correspondingly, the present invention also provides a kind of system of the object matching of the method for realizing above-mentioned object matching,
It includes object data memory module, establish module, instruction module, characteristic value generation module, distribution module and judgment module；
The object data memory module, for store matched object in need data；
It is described to establish module, establish match-type and the grouping of multiple characteristic values for being directed to object；
Described instruction module for receiving matching instruction, and sends all one's life into instruction to the characteristic value generation module：
The characteristic value generation module, after responding the generation instruction, it is each right to be extracted respectively according to match-type
The matched data of elephant, and matched data according to each object generate corresponding characteristic value；
The distribution module judges the grouping of the characteristic value belonging to it respectively for characteristic value according to each object, and will
Each object is separately dispensed into the characteristic value grouping belonging to it；
The judgment module, for judging whether the quantity for the object being assigned in each characteristic value grouping meets need respectively
It asks；If meet demand, stopped being grouped distribution object to the characteristic value of meet demand from distribution module；Otherwise, by distribution mould
Block continues distribution object to the characteristic value grouping of unmet demand.
Further, the module of establishing includes extracting sub-module, range setting up submodule and characteristic value grouping submodule：
The extracting sub-module, the matched data for extracting all objects according to match-type；
The range setting up submodule, for establishing multiple features according to all matched datas in the extracting sub-module
It is worth range；
The characteristic value is grouped submodule, multiple range of characteristic values for calling the range setting up submodule, and life
At multiple characteristic values are grouped correspondingly with the multiple range of characteristic values respectively.
Further, the characteristic value generation module includes response submodule, searches submodule, matching factor submodule and spy
Value indicative submodule；
The response submodule sends a look-up command to the lookup submodule after responding the generation instruction；
The lookup submodule, after receiving look-up command, respectively from each object of object data memory module
In database search with the relevant data of the match-type, extract and indicate with the relevant multiple data of match-type, as
Matched data；And it sends an extraction and completes instruction to the matching factor submodule；
The matching factor submodule, for receive extraction complete instruction after, according to match-type establish respectively with it is described
Search the one-to-one matching factor of multiple data in the matched data of submodule；And it sends a coefficient and completes to instruct to described
Characteristic value submodule；
The characteristic value submodule is completed after instructing for receiving coefficient, calculates separately the matching for searching submodule
The product of the corresponding matching factor of multiple data in data, and obtain all products in the matched data of each object
Summation generates the characteristic value of each object.
Further, the judgment module includes accommodating quantity submodule, number of matches submodule, comparison sub-module and control
Submodule；
The receiving quantity submodule accommodates quantity for setting the object in each characteristic value grouping；
The number of matches submodule, for recording the number of objects being assigned in each characteristic value grouping；
The comparison sub-module, the object for being respectively compared the grouping of each characteristic value accommodate the big of quantity and number of objects
It is small, and a comparison result is sent to the control submodule；
The control submodule, for judging whether to continue to characteristic value point according to the comparison result of the comparison sub-module
Group distribution object；If comparison result is that number of objects is consistent with object receiving population size, control submodule is recorded and is moved
Except all objects in number of objects and object capacity characteristic value grouping of the same size；Otherwise, control submodule control distribution
Module compares number of objects continues distribution object as accommodating the small characteristic value grouping of quantity.
Further, the system of object matching of the present invention further includes supplementary module, the supplementary module, for needing to match
Object actual match quantity be less than characteristic value grouping in object accommodate quantity when realize object matching again comprising
Matching value submodule, quantity judging submodule, object judging submodule, timing submodule, corrects son at object matching group submodule
Module and distribution sub module：
The matching value submodule, for setting matching value range；
The object matching group submodule is equal with actual match quantity for choosing quantity from the grouping of same characteristic value
And mutual characteristic value difference is located at the object within the scope of the matching value, generates multiple object matching groups；
The quantity judging submodule, for judging that the number of objects in each object matching group and actual match quantity be
It is no equal；If equal, matching is completed；Otherwise, quantity forwarded judging result is to object judgment module；
The object judgment module, for judging whether there is also not in same group of characteristic value after received quantity judging result
Match object；It is executed instruction to distribution sub module if it is present sending, continues to be grouped from same characteristic value by distribution sub module
The characteristic value for the object that middle selection object enters in object matching group, and is selected and any object in the group objects match group
The difference of characteristic value be located within the scope of the matching value；If it does not exist, then it fails to match, and an enabled instruction is sent to calmly
When submodule；
The timing submodule, for starting timing match time counting after receiving enabled instruction；
The amendment submodule, for the characteristic value that revisory eigenvalue is grouped within the timing match time of timing submodule
Range accommodates quantity to expand range of characteristic values and object；
The distribution sub module, for triggering timing match after timing match time counting, it fails to match object
It is matched in object matching group, and the feature of the characteristic value of it fails to match object and the one pair of which elephant of the group objects match group
The difference of value is located within the scope of the matching value, and matching is completed.
Further, the system of object matching of the present invention further includes
Acquisition module, the object for obtaining successful match；
Data extraction module, the data group for generating multigroup classification according to the type of multiple data of matched data, and
Multiple data in the matched data of all objects of successful match are extracted respectively in data group identical with its type；
Mean value calculation module, the difference average value for calculating separately all data in each data group；
Characteristic value correcting module, it is corresponding for being changed respectively according to the size of the difference average value of each data group
Matching factor realizes the amendment of characteristic value and range of characteristic values.
Since the system of the object matching of the present invention corresponds to the method for the object matching of the present invention, and it can be real
The method of the object matching of the existing present invention, therefore, the system of object matching of the invention have the side of the object matching of the present invention
All technique effects of method.
In order to better understand and implement, the invention will now be described in detail with reference to the accompanying drawings.
Description of the drawings
Fig. 1 is the flow chart of the method for object matching of the present invention；
Fig. 2 be the method for object matching of the present invention step S1 in multiple characteristic values grouping establishment steps improve after flow
Figure；
Fig. 3 be object matching of the present invention method in improve after step S2 flow chart；
Fig. 4 be object matching of the present invention method in improve after step S4 flow chart；
Fig. 5 is step S51~S54, the S541~S543 of increase after the method for object matching of the present invention is further improved
Flow chart；
Fig. 6 is the modified result characteristic value model according to successful match after the method for the object matching of the present invention is further improved
The flow chart enclosed；
Fig. 7 is the structure diagram of the system of object matching of the present invention；
Fig. 8 be object matching of the present invention system in establish the structural schematic diagram of module；
Fig. 9 be object matching of the present invention system in characteristic value generation module structural schematic diagram；
Figure 10 be object matching of the present invention system in judgment module structural schematic diagram；
Figure 11 is that the system of object matching of the present invention adds the structural schematic diagram after supplementary module；
Figure 12 is the structural frames of the system of the object matching after further being improved in Figure 11.
Specific implementation mode
In order to solve to lead to be paired to same sports trip by randomly selecting mode and realizing object matching in the prior art
The fight rank of player in play is inconsistent or with greatly different gap, from the player and phase for being unable to that height is made to fight rank
When opponent race, weaken player and race experience sense, and the player of high fight rank is caused to roll new hand green hand player's
Situation occurs, the problem of reducing the game experiencing of the player of each rank；And also to solve in the prior art by with
The mode that machine extracts realizes object matching and causes the otherness matched between object excessive, to cause the successful match of object
The problem of rate substantially reduces.The present invention provides a kind of method and systems of object matching, and matching class is established by being directed to object
Type and multiple characteristic values are grouped into all set characteristic value grouping before realization object matching；And it is each right according to match-type extraction
The matched data of elephant realizes the exclusion of the extraneous data in object data and avoids the influence of extraneous data and eliminate to nothing
The program of data processing is closed, object matching efficiency is improved；Characteristic value is generated by matched data simultaneously, according to characteristic value realization pair
The matched packet of elephant improves the compatible degree between the object of grouping and accuracy, realizes horizontal or same kind of the same race or has
The accurate match and intelligent Matching of the object of target of the same race, improve the success rate of object matching.Hereinafter, specifically describing the present invention
The method of object matching.
Referring to Fig. 1, the method for object matching of the present invention includes the following steps：
Step S1：Match-type and the grouping of multiple characteristic values are established for object；In the present embodiment, the match-type
It establishes according to actual needs, for example, the player in game fights matching, then match-type is then battle type；Then feature
Value grouping is then to refer to player levels data and hiding matching divided data required for fighting in type.
Step S2：Matching instruction is received, extracts the matched data of each object respectively according to match-type, and according to each
The matched data of object generates corresponding characteristic value；By taking class game of racing as an example, matching instruction is to be triggered to fight by player
It is triggered at once after button.Since the data of each player include a plurality of types of data, such as：Level data is hidden
Matching divided data, experience Value Data, character data and User ID data etc.；The purpose of actual match is to realize that fighting capacity is horizontal
The matching of similar player, then object is player at this time, and matched data is to embody fighting capacity from the extracting data of player
Horizontal level data and hiding matching divided data；Then characteristic value at this time refers in conjunction with level data and hiding matching point
What is obtained after data can embody the numerical value of player's fighting capacity level.
Step S3：Characteristic value according to each object judges that the characteristic value belonging to it is grouped respectively, and each object is divided
It is not assigned in the characteristic value grouping belonging to it；
Step S4：Judge respectively the object being assigned in the grouping of each characteristic value quantity whether meet demand；If meeting
Demand, then record and remove meet demand characteristic value grouping in all objects；Otherwise, to the characteristic value of unmet demand
Grouping continues distribution object.By taking athletic game as an example, due in sports, needing to realize a certain number of players and arriving set
The sports of player could be realized in athletic game scene.Therefore, then the quantity for being matched to the player in same group of sports scene must
The number of players that practical sports need must be met.
Referring to Fig. 2, the accuracy of the objectivity and grouping to be further ensured that characteristic value grouping, more preferably as one kind
Technical solution, it is further perfect to the foundation of multiple characteristic value groupings in the step S1, it is multiple in the step S1 after improving
The foundation of characteristic value grouping includes the following steps：
Step S11：The matched data of all objects is extracted according to match-type；
Step S12：Multiple range of characteristic values are established according to all matched datas；Characteristic value model is limited in combination with actual needs
Enclose, for example, multiple range of characteristic values can be (0,10], (10,20], (20,30], (and 30,40] etc..In the present embodiment, it is guarantor
The success rate and proximity of card matching object, it is preferable that the value of the difference of the maxima and minima in each range of characteristic values
Domain is [0,10].
Step S13：Multiple characteristic values are grouped correspondingly with multiple range of characteristic values respectively for generation.
Hereinafter, illustrating step S11~S13 of the present invention by taking athletic game as an example.First, the foundation of characteristic value grouping can be managed
It solves to be that the matched data of all players to participating in this game in advance carries out the group result after statistical disposition, afterwards player
It, only need to be by recalculating characteristic value after updating matched data, and in original there is no need to re-establish characteristic value grouping in matching
The range of characteristic values that revisory eigenvalue is grouped on the basis of characteristic value grouping, realizes player matches.
Referring to Fig. 3, in order to according to the actual application, the importance of all data in the matched data of object is determined
Order, and according to the importance of all data difference determine matching factors, to further enhance the feature of every an object
Value has the practical significance that can more embody its needs or its level or its purpose or its classification, further increases the standard of object matching
True property, as a kind of more preferably technical solution, the present invention carries out the step S2 further perfect, the step S2 tools after improving
Body includes the following steps：
Step S21：Matching instruction is received, is searched from the database of each object respectively relevant with the match-type
Data, extract and indicate with the relevant multiple data of match-type, as matched data；Matched data in this step is to pass through
Extraction participates in what the related data of matched object obtained this moment, which is possible to not change, it is also possible to be
Pass through updated data again after previous matching.
Step S22：Extract matched data after, according to match-type establish respectively with multiple data in matched data one by one
Corresponding matching factor；Illustrate by taking athletic game as an example, matching factor herein is for weighing the fighting capacity water for determining player
The importance of flat level data and hiding matching divided data, that is, which data ability in level data and matching divided data
It is the more important data for weighing player's fighting capacity level.Which data is more important, then its matching factor is also larger.
Step S23：The product of the corresponding matching factor of the multiple data is calculated separately, and obtains each object
The summation of all products in matched data, generates the characteristic value of each object.Illustrate by taking athletic game as an example, it is assumed that some player
Level data be 120, the matching factor of level data is 1, matching divided data is 8, the matching factor that matches divided data is
1000 (current application, the coefficient matched point need the maximum value more than grade), then the characteristic value of the player be 120 × 1+8 ×
1000=8120.
Referring to Fig. 4, to be further ensured that the number of objects in each characteristic value grouping disclosure satisfy that actual needs, simultaneously
It avoids the number of objects in being grouped due to same group of characteristic value excessive and causes that grouping error increases and what matching speed reduced shows
It is further perfect to the step S4 as a kind of more preferably technical solution as occurring：Step S4 after improving includes following step
Suddenly：
Step S41：The object set in each characteristic value grouping accommodates quantity；The object accommodates quantity and can be regarded as one
The largest object quantity that can include in a characteristic value grouping, also is understood as needing matched number of objects.
Step S42：Record is assigned to the number of objects in each characteristic value grouping；
Step S43：The object for being respectively compared each characteristic value grouping accommodates the size of quantity and number of objects；If object
Quantity is consistent with object receiving population size, then records and remove number of objects and object capacity characteristic value grouping of the same size
In all objects；Otherwise, number of objects is compared and continues distribution object as accommodating the small characteristic value grouping of quantity.Lead to as a result,
Overwriting simultaneously removes all objects in number of objects and object capacity characteristic value grouping of the same size, thus by successful match
Object record get off, while also in time by the object of successful match from characteristic value be grouped remove, ensure that characteristic value grouping not
Mass data can be accumulated and influence operating efficiency.
Referring to Fig. 5, in order to meet the object matching demand to smaller number of matches, pair to smaller number of matches is avoided
The matching operation again of elephant also avoids the object in being grouped to other feature value from analyzing, reduces data analysis operation, realizes
The matching efficiency of object is improved on the basis of former characteristic value is grouped.Meanwhile realize can be by detecting the matching of object automatically
Success or failure, the range of characteristic values of timely revisory eigenvalue grouping starts matching, enhancing automatically for the object that it fails to match
The success rate of object matching so that characteristic value further to actual needs, to further increase characteristic value accuracy and
Validity is further improved technical scheme of the present invention as a kind of more preferably technical solution, that is, completing object matching
After being grouped to characteristic value, when the object for needing the actual match quantity of matched object to be less than in characteristic value grouping accommodates quantity
When, the method for object matching of the present invention is further comprising the steps of：
Step S51：Set matching value range；In the present embodiment, matching value range refer to will be matched in same group
The characteristic value of object and the range residing for the difference of the characteristic value of matched object, and range of characteristic values refers to the feature of object
The residing range of value.In the present embodiment, the codomain of the difference of the maxima and minima of matching value range may be set to [0,3].
Step S52：The quantity feature value difference equal and mutual with actual match quantity is chosen from the grouping of same characteristic value
Value is located at the object within the scope of the matching value, generates multiple object matching groups；
Step S53：Judge whether the number of objects in each object matching group is equal with actual match quantity；If phase
Deng matching completion；Otherwise, following steps are executed：
Step S54：Judge whether there is also do not match object in same group of characteristic value；If it is present continuing from same
It is chosen in the characteristic value and the group objects match group of the object that object enters in object matching group, and is selected in characteristic value grouping
The difference of characteristic value of any object be located within the scope of the matching value；If it does not exist, then it fails to match, and execute following
Step：
Step S541：Start timing match time counting；The timing match time can be set according to actual needs, for example, can
The timing match time is set as 30s.
Step S542：In in the timing match time revisory eigenvalue be grouped range of characteristic values, expand range of characteristic values and
Object accommodates quantity；
Step S543：After timing match time counting, timing match triggering, it fails to match, and object is matched into object
In match group, and the difference of the characteristic value and the characteristic value of the one pair of which elephant of the group objects match group of it fails to match object is located at
Within the scope of the matching value, matching is completed.
Referring to Fig. 6, to realize the range of characteristic values being grouped according to successful match modified result characteristic value, to further
Improve characteristic value grouping range of characteristic values and characteristic value and the compactness of practical application, match phase recency between object and
The successful probability of object matching, as a kind of more preferably technical solution, the method for object matching of the present invention further includes according to matching
The step of successful modified result range of characteristic values：
Step S61：Obtain the object of successful match；
Step S62：Generate the data group of multigroup classification according to the type of multiple data of matched data, and by successful match
All objects matched data in multiple data extract respectively in data group identical with its type；
Step S63：Calculate separately the difference average value of all data in each data group；
Step S64：Change corresponding matching factor respectively according to the size of the difference average value of each data group, it is real
The amendment of existing characteristic value and range of characteristic values.
Referring to Fig. 7, correspondingly, the present invention also provides a kind of objects of the method for realizing above-mentioned object matching
The system matched comprising object data memory module 1 establishes module 2, instruction module 3, characteristic value generation module 4, distribution module
5 and judgment module 6.
The object data memory module 1, for store matched object in need data.
It is described to establish module 2, for establish match-type and according to the object data in object data memory module 1 it is multiple
Characteristic value is grouped.
Described instruction module 3 for receiving matching instruction, and sends all one's life into instruction to the characteristic value generation module 4.
The characteristic value generation module 4, after responding the generation instruction, it is each right to be extracted respectively according to match-type
The matched data of elephant, and matched data according to each object generate corresponding characteristic value.
The distribution module 5 judges the grouping of the characteristic value belonging to it respectively for characteristic value according to each object, and will
Each object is separately dispensed into the characteristic value grouping belonging to it.
The judgment module 6, for judging to be assigned to pair in characteristic value generation module 4 in each characteristic value grouping respectively
The quantity of elephant whether meet demand；If meet demand, stops being grouped to the characteristic value of meet demand from distribution module 5 and distribute
Object；Otherwise, distribution object is continued to the characteristic value grouping of unmet demand by distribution module 5.
Referring to Fig. 8, as a kind of more preferably technical solution, the module 2 of establishing is built including extracting sub-module 21, range
Vertical submodule 22 and characteristic value are grouped submodule 23.The extracting sub-module 21, for extracting all objects according to match-type
Matched data.The range setting up submodule 22, for being established according to all matched datas in the extracting sub-module 21
Multiple range of characteristic values.The characteristic value is grouped submodule 23, multiple features for calling the range setting up submodule 22
It is worth range, and multiple characteristic values are grouped correspondingly with the multiple range of characteristic values respectively for generation.
Referring to Fig. 9, as a kind of more preferably technical solution, the characteristic value generation module 4 include response submodule 41,
Search submodule 42, matching factor submodule 43 and characteristic value submodule 44.The response submodule 41, for responding the life
After instruction, a look-up command is sent to the lookup submodule 42.The lookup submodule 42, for receiving look-up command
Afterwards, respectively from the database of each object of object data memory module 1 search with the relevant data of the match-type, carry
Take and indicate with the relevant multiple data of match-type, as matched data；And it sends an extraction and completes instruction to the matching
Coefficient submodule 43.The matching factor submodule 43 is completed after instructing for receiving extraction, is established and distinguished according to match-type
With the one-to-one matching factor of multiple data in the matched data for searching submodule 42；And it sends coefficient completion and refers to
It enables to the characteristic value submodule 44.The characteristic value submodule 44 is completed after instructing for receiving coefficient, is calculated separately described
The product of the corresponding matching factor of multiple data in the matched data of submodule 42 is searched, and obtains of each object
Summation with all products in data generates the characteristic value of each object.
Referring to Fig. 10, as a kind of more preferably technical solution, the judgment module 6 include accommodate quantity submodule 61,
Number of matches submodule 62, comparison sub-module 63 and control submodule 64.The receiving quantity submodule 61, it is each for setting
Object in characteristic value grouping accommodates quantity.The number of matches submodule 62 is assigned to each characteristic value grouping for recording
In number of objects.The comparison sub-module 63, the object for being respectively compared each characteristic value grouping accommodate quantity and object
The size of quantity, and a comparison result is sent to the control submodule 64.The control submodule 64, for according to the ratio
Comparison result compared with submodule 63 judges whether to continue to be grouped distribution object to characteristic value；If comparison result be number of objects with
Object receiving population size is consistent, then control submodule 64 records and removes number of objects and object capacity feature of the same size
All objects in value grouping；Otherwise, control submodule 64 controls distribution module 5 and compares number of objects as receiving quantity is small
Characteristic value grouping continues distribution object.
1 is please referred to Fig.1, as a kind of more preferably technical solution, the system of object matching of the present invention further includes supplementary module
7.The supplementary module 7 is accommodated for being less than the object in characteristic value grouping in the actual match quantity for needing matched object
The matching again of object is realized when quantity comprising matching value submodule 71, object matching group submodule 72, quantity judge submodule
Block 73, timing submodule 75, corrects submodule 76 and distribution sub module 77 at object judging submodule 74.
The matching value submodule 71, for setting matching value range.
The object matching group submodule 72, for choosing quantity and actual match quantity phase from the grouping of same characteristic value
Deng and mutual characteristic value difference be located at the object within the scope of the matching value, generate multiple object matching groups.
The quantity judging submodule 73, for judging the number of objects in each object matching group and actual match quantity
It is whether equal；If equal, matching is completed；Otherwise, quantity forwarded judging result is to object judgment module 6.
The object judging submodule 74, for judging whether also deposited in same group of characteristic value after received quantity judging result
Object is not being matched；It executes instruction to distribution sub module 77 if it is present sending, is continued from same spy by distribution sub module 77
It is chosen in the characteristic value and the group objects match group of the object that object enters in object matching group, and is selected in value indicative grouping
The difference of the characteristic value of any object is located within the scope of the matching value；If it does not exist, then it fails to match, and sends one and start
It instructs to timing submodule 75.
The timing submodule 75, for starting timing match time counting after receiving enabled instruction.
The amendment submodule 76, for the spy that revisory eigenvalue is grouped within the timing match time of timing submodule 75
Value indicative range accommodates quantity to expand range of characteristic values and object.
The distribution sub module 77, for triggering timing match after timing match time counting, it is right that it fails to match
As being matched in object matching group, and the spy of the characteristic value of it fails to match object and the one pair of which elephant of the group objects match group
The difference of value indicative is located within the scope of the matching value, and matching is completed.
2 are please referred to Fig.1, more preferably technical solution, the system of object matching of the present invention further include as one kind
Acquisition module 81, the object for obtaining successful match；
Data extraction module 82, the data group for generating multigroup classification according to the type of multiple data of matched data,
And multiple data in the matched data of all objects of successful match are extracted respectively in data group identical with its type；
Mean value calculation module 83, the difference average value for calculating separately all data in each data group；
Characteristic value correcting module 84, it is corresponding for being changed respectively according to the size of the difference average value of each data group
Matching factor, realize the amendment of characteristic value and range of characteristic values.
Since the system of the object matching of the present invention can realize the object matching method of the present invention, in combination with this hair
Bright object matching point method understands the operation principle of the system of the object matching of the present invention, therefore details are not described herein.
Hereinafter, simply introducing the application of the method and system of object matching of the present invention in practice, but it is not limited to
Following introduced applications：
1, application in gaming：Player needs to realize the fight level for ensureing wartime battle player by matching
It is consistent or close.Such as：In certain a game, match-type is battle type, then can weigh the matching of player's fight level
Data are grade and the matching point of each player, wherein the matching point is added according to the performance of player for a long time in gaming
It is obtained after reducing, the score value the high, reflects that the fight level of the player is higher, then understands that matching split-phase carrys out grade
Say that the fight that can more weigh player is horizontal, then the matching factor matched point should be higher than the matching factor of grade, subsequent
Step S21~the S23 in the method for object matching according to the present invention realizes the calculating of the characteristic value of player.Then basis
The characteristic value being calculated enters in the grouping of corresponding characteristic value, realizes the matching of object.
2, the application in terms of communications and transportation：It can realize through the invention and maximumlly utilize means of transport and transport
Promptness is grouped at this point, corresponding characteristic value can be generated by the logistics capacity and transport capacity for counting day part, then by haulagman
Tool is used as object, is respectively matched in corresponding grouping according to the logistics capacity of day part.
3, the application in tourism and leisure：According to each area and its play recommendation and the corresponding characteristic value of type generation of playing
Thus grouping obtains the feature that user plays using play type demand and the place of playing of user as the matched data of object
Value, you can matched it in the grouping of corresponding characteristic value according to its characteristic value, user, which can check, matched actually plays ground
Point.
Compared with the existing technology, the method and system of object matching of the present invention can not only avoid in game because of successful match
Fight rank between player afterwards is different and the phenomenon that influencing the game experiencing of each player occurs, and also achieves of the same race
The accurate Rapid matching of the object of classification horizontal or of the same race or demand of the same race improves the efficiency of object matching and intelligent and object
The probability of successful match.
The invention is not limited in the above embodiments, if the various changes or deformation to the present invention do not depart from the present invention
Spirit and scope, if these changes and deformation belong within the scope of the claim and equivalent technologies of the present invention, then this hair
It is bright to be also intended to comprising these changes and deformation.
Claims (10)
1. a kind of method of object matching, it is characterised in that：Include the following steps：
Match-type and the grouping of multiple characteristic values are established for object；
Matching instruction is received, extracts the matched data of each object, and matching according to each object respectively according to match-type
Data generate corresponding characteristic value；
Characteristic value according to each object judges that the characteristic value belonging to it is grouped respectively, and each object is separately dispensed into its institute
In the characteristic value grouping of category；
Judge respectively the object being assigned in the grouping of each characteristic value quantity whether meet demand；If meet demand records
And remove all objects in the characteristic value grouping of meet demand；Otherwise, the grouping of the characteristic value of unmet demand is continued point
With object；
After completing object matching to characteristic value grouping, it is less than in characteristic value grouping when needing the actual match quantity of matched object
Object accommodate quantity, then it is further comprising the steps of：
Set matching value range；
The quantity characteristic value difference equal and mutual with actual match quantity is chosen from the grouping of same characteristic value is located at described
With the object in value range, multiple object matching groups are generated；
Judge whether the number of objects in each object matching group is equal with actual match quantity；If equal, matching is completed；It is no
Then, following steps are executed：
Judge whether there is also do not match object in same group of characteristic value；If it is present continuing from the grouping of same characteristic value
The characteristic value for choosing the object that object enters in object matching group, and is selected and any object in the group objects match group
The difference of characteristic value is located within the scope of the matching value；If it does not exist, then it fails to match, and execute following steps：
Start timing match time counting；
In the range of characteristic values that revisory eigenvalue in the timing match time is grouped, expands range of characteristic values and object accommodates quantity；
After timing match time counting, timing match triggering, it fails to match, and object is matched in object matching group, and
The difference of characteristic value and the characteristic value of the one pair of which elephant of the group objects match group with failure object is located at the matching value model
In enclosing, matching is completed.
2. according to the method described in claim 1, it is characterized in that：The step establishes match-type and multiple spies for object
In value indicative grouping, the foundation of the multiple characteristic value grouping includes the following steps：
The matched data of all objects is extracted according to match-type；
Multiple range of characteristic values are established according to all matched datas；
Multiple characteristic values are grouped correspondingly with multiple range of characteristic values respectively for generation.
3. according to the method described in claim 2, it is characterized in that：The step receives matching instruction, according to match-type point
The matched data of each object is indescribably taken, and matched data according to each object generates corresponding characteristic value, it is specific to wrap
Include following steps：
Matching instruction is received, respectively lookup and the relevant data of the match-type from the database of each object, extraction is simultaneously
Mark and the relevant multiple data of match-type, as matched data；
After extracting matched data, is matched correspondingly with multiple data in matched data respectively according to match-type foundation and be
Number；The product of the corresponding matching factor of the multiple data is calculated separately, and obtains institute in the matched data of each object
The summation for having product generates the characteristic value of each object.
4. according to the method described in claim 1, it is characterized in that：The step judges to be assigned to each characteristic value grouping respectively
In object quantity whether meet demand；If meet demand, record and remove meet demand characteristic value grouping in
All objects；Otherwise, the characteristic value of unmet demand is grouped and continues distribution object；Specifically include following steps：
The object set in each characteristic value grouping accommodates quantity；
Record is assigned to the number of objects in each characteristic value grouping；
The object for being respectively compared each characteristic value grouping accommodates the size of quantity and number of objects；If number of objects is held with object
Population size of receiving is consistent, then it is all right in number of objects and object capacity characteristic value grouping of the same size to record and remove
As；Otherwise, number of objects is compared and continues distribution object as accommodating the small characteristic value grouping of quantity.
5. according to the method described in claim 3, it is characterized in that：It is further comprising the steps of：
Obtain the object of successful match；
Generate the data group of multigroup classification according to the type of multiple data of matched data, and by all objects of successful match
Multiple data in matched data are extracted respectively in data group identical with its type；
Calculate separately the difference average value of all data in each data group；
Change corresponding matching factor respectively according to the size of the difference average value of each data group, realizes characteristic value and spy
The amendment of value indicative range.
6. a kind of system of object matching, it is characterised in that：Including object data memory module, establish module, instruction module, spy
Value indicative generation module, distribution module, judgment module and supplementary module；
The object data memory module, for store matched object in need data；
It is described to establish module, establish match-type and the grouping of multiple characteristic values for being directed to object；
Described instruction module for receiving matching instruction, and sends all one's life into instruction to the characteristic value generation module：
The characteristic value generation module extracts each object according to match-type respectively after responding the generation instruction
Matched data, and matched data according to each object generate corresponding characteristic value；
The distribution module judges the grouping of the characteristic value belonging to it respectively for characteristic value according to each object, and will be each
Object is separately dispensed into the grouping of the characteristic value belonging to it；
The judgment module, for judge to be assigned to respectively the object in each characteristic value grouping quantity whether meet demand；
If meet demand, stopped being grouped distribution object to the characteristic value of meet demand from distribution module；Otherwise, by distribution module pair
The characteristic value grouping of unmet demand continues distribution object；
The supplementary module is accommodated for being less than the object in characteristic value grouping in the actual match quantity for needing matched object
When quantity realize object matching again comprising matching value submodule, object matching group submodule, quantity judging submodule,
Object judging submodule, corrects submodule and distribution sub module at timing submodule：
The matching value submodule, for setting matching value range；
The object matching group submodule, for from same characteristic value grouping in choose quantity with actual match quantity equal and phase
Mutual characteristic value difference is located at the object within the scope of the matching value, generates multiple object matching groups；
The quantity judging submodule, for judge the number of objects in each object matching group and actual match quantity whether phase
Deng；If equal, matching is completed；Otherwise, quantity forwarded judging result is to object judgment module；
The object judgment module, for judging whether there is also do not match in same group of characteristic value after received quantity judging result
Object；It is executed instruction to distribution sub module if it is present sending, continues to select from the grouping of same characteristic value by distribution sub module
The spy of the characteristic value for the object for taking object to enter in object matching group, and being selected and any object in the group objects match group
The difference of value indicative is located within the scope of the matching value；If it does not exist, then it fails to match, and an enabled instruction is sent to timing
Module；The timing submodule, for starting timing match time counting after receiving enabled instruction；
The amendment submodule, for the characteristic value model that revisory eigenvalue is grouped within the timing match time of timing submodule
It encloses, quantity is accommodated to expand range of characteristic values and object；
The distribution sub module, for triggering timing match after timing match time counting, it fails to match object by
It is incorporated in object matching group, and the characteristic value of it fails to match object and the characteristic value of the one pair of which elephant of the group objects match group
Difference is located within the scope of the matching value, and matching is completed.
7. system according to claim 6, it is characterised in that：The module of establishing includes extracting sub-module, range foundation
Submodule and characteristic value are grouped submodule：
The extracting sub-module, the matched data for extracting all objects according to match-type；
The range setting up submodule, for establishing multiple characteristic value models according to all matched datas in the extracting sub-module
It encloses；The characteristic value is grouped submodule, multiple range of characteristic values for calling the range setting up submodule, and generates difference
Multiple characteristic values are grouped correspondingly with the multiple range of characteristic values.
8. system according to claim 7, it is characterised in that：The characteristic value generation module includes response submodule, looks into
Look for submodule, matching factor submodule and characteristic value submodule；
The response submodule sends a look-up command to the lookup submodule after responding the generation instruction；
The lookup submodule, after receiving look-up command, respectively from the data of each object of object data memory module
In library search with the relevant data of the match-type, extract and indicate with the relevant multiple data of match-type, as matching
Data；And it sends an extraction and completes instruction to the matching factor submodule；
The matching factor submodule, for receive extraction complete instruction after, according to match-type establish respectively with the lookup
The one-to-one matching factor of multiple data in the matched data of submodule；And it sends a coefficient and completes instruction to the feature
It is worth submodule；
The characteristic value submodule is completed after instructing for receiving coefficient, calculates separately the matched data for searching submodule
In the corresponding matching factor of multiple data product, and obtain the total of all products in the matched data of each object
With generate the characteristic value of each object.
9. system according to claim 6, it is characterised in that：The judgment module includes accommodating quantity submodule, matching
Quantity submodule, comparison sub-module and control submodule；
The receiving quantity submodule accommodates quantity for setting the object in each characteristic value grouping；
The number of matches submodule, for recording the number of objects being assigned in each characteristic value grouping；
The comparison sub-module, the object for being respectively compared each characteristic value grouping accommodate the size of quantity and number of objects,
And a comparison result is sent to the control submodule；
The control submodule, for judging whether to continue to characteristic value grouping point according to the comparison result of the comparison sub-module
With object；If comparison result is that number of objects and object receiving population size are consistent, control submodule is recorded and is removed pair
As all objects in quantity and object capacity characteristic value grouping of the same size；Otherwise, control submodule controls distribution module
Number of objects is compared and continues distribution object as accommodating the small characteristic value grouping of quantity.
10. system according to claim 8, it is characterised in that：Further include
Acquisition module, the object for obtaining successful match；
Data extraction module, the data group for generating multigroup classification according to the type of multiple data of matched data, and will
Multiple data in matched data with successful all objects are extracted respectively in data group identical with its type；
Mean value calculation module, the difference average value for calculating separately all data in each data group；
Characteristic value correcting module, the size for the difference average value according to each data group change corresponding matching respectively
Coefficient realizes the amendment of characteristic value and range of characteristic values.
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| US8038535B2 (en) | 2005-05-17 | 2011-10-18 | Electronic Arts Inc. | Collaborative online gaming system and method |
| US9776091B1 (en) | 2014-05-16 | 2017-10-03 | Electronic Arts Inc. | Systems and methods for hardware-based matchmaking |
| US9993735B2 (en) | 2016-03-08 | 2018-06-12 | Electronic Arts Inc. | Multiplayer video game matchmaking optimization |
| US10286327B2 (en) | 2016-10-21 | 2019-05-14 | Electronic Arts Inc. | Multiplayer video game matchmaking system and methods |
| CN106512407B (en) * | 2016-11-18 | 2020-02-14 | 网易（杭州）网络有限公司 | Matching processing method and device |
| CN106730850B (en) * | 2016-12-16 | 2020-10-27 | 网易（杭州）网络有限公司 | Game opponent matching method and device |
| CN106669146B (en) * | 2016-12-30 | 2019-09-17 | 腾讯科技（深圳）有限公司 | A kind of method and device of selection matching group membership |
| CN107103089A (en) * | 2017-05-04 | 2017-08-29 | 腾讯科技（深圳）有限公司 | The matching process and device of object |
| CN107837532B (en) * | 2017-11-16 | 2020-11-24 | 腾讯科技（上海）有限公司 | User matching method, device, server and storage medium |
| CN108196885B (en) * | 2017-11-27 | 2021-07-27 | 腾讯科技（上海）有限公司 | Object group determination method and device, storage medium and electronic device |
| CN108305005A (en) * | 2018-02-01 | 2018-07-20 | 深圳市鹰硕技术有限公司 | Contest object matching method in study competition and device |
| CN108744525B (en) * | 2018-05-29 | 2021-06-01 | 深圳市紫石文化传播有限公司 | Matching method and device |
| CN109078333B (en) * | 2018-08-09 | 2021-11-30 | 深圳市东方博雅科技有限公司 | Method and device for matching game friends |
| CN109126141B (en) * | 2018-08-24 | 2019-11-26 | 苏州玩友时代科技股份有限公司 | Personnel's matching process and system in a kind of game system |
| CN109634993A (en) * | 2018-11-01 | 2019-04-16 | 北京达佳互联信息技术有限公司 | A kind of user matching method, device, electronic equipment and storage medium |
| CN110193196B (en) * | 2019-04-22 | 2020-09-08 | 网易（杭州）网络有限公司 | Game object control method and device |
| CN112148393A (en) * | 2019-06-28 | 2020-12-29 | 北京智明星通科技股份有限公司 | User team forming method based on social platform mini-game |
| CN110559661A (en) * | 2019-09-11 | 2019-12-13 | 腾讯科技（深圳）有限公司 | Pairing method and device |
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| JP4880324B2 (en) * | 2006-02-28 | 2012-02-22 | 株式会社バンダイナムコゲームス | Server system, program, and information storage medium |
| JP5330556B2 (en) * | 2012-02-23 | 2013-10-30 | 株式会社コナミデジタルエンタテインメント | GAME CONTROL DEVICE, GAME CONTROL DEVICE CONTROL METHOD, AND PROGRAM |
| JP5793592B2 (en) * | 2014-02-25 | 2015-10-14 | グリー株式会社 | GAME CONTROL METHOD, SERVER DEVICE, AND PROGRAM |
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