CN105582673A - Object matching method and system - Google Patents
Object matching method and system Download PDFInfo
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- CN105582673A CN105582673A CN201510947059.6A CN201510947059A CN105582673A CN 105582673 A CN105582673 A CN 105582673A CN 201510947059 A CN201510947059 A CN 201510947059A CN 105582673 A CN105582673 A CN 105582673A
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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
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Abstract
The invention relates to an object matching method and system. The method comprises the steps that a matching type and multiple feature value groups are established according to objects; a matching instruction is received, matching data of each object is extracted according to the matching type, and a feature value corresponding to each object is generated according to the matching data of the object; according to the feature value of each object, the feature value group to which each object belongs is determined, and all the objects are distributed to the feature value groups to which the objects belong; whether the number of the objects distributed to the corresponding feature value groups meets the demand or not is judged; if the number meets the demand, all the objects, meeting the demand, in the corresponding feature value groups are recorded and removed; otherwise, objects continue to be distributed to the feature value groups not meeting the demand. Through the object matching method and system, the phenomenon that in a competitive game, the game experience of players is affected because the fight levels of the players are different after matching is successful is avoided, and accurate and rapid matching of the objects at the same level or category or with the same demand is achieved.
Description
Technical field
The present invention relates to field of computer technology, particularly a kind of side that can realize accurately, easily and quickly object matchingMethod and system.
Background technology
At present, many aspects all need to realize the combination of two or more objects, or realize two or moreObject forms one group and completes specific task. For example, in the game of sports class, need to enter between two or more playersRow is learned from each other by exchanging views trial of strength, jointly enters athletic game and realizes sports. , in the time starting to race, games system must be from participating in the institute of sportsHave in player and randomly draw the player that number meets the requirement of sports number, realize all players and distribute respectively to enter into how group sports are swumIn play, be drawn into the same group of players in athletic game and be and mated the players of together mutually learning from each other by exchanging views trial of strength.Therefore, be drawn into the same group of players in athletic game and be after games system coupling object together.
But, as from the foregoing, in the game of prior art sports class, carry out in the process of player matches, directly all sports playersIn randomly draw and realize pairing, easily cause being paired to the fight rank of the player in same athletic game inconsistent or have outstandingDifferent gap, thus can not make the player of high fight rank race with suitable opponent, the weakening player experience sense of racing,And cause the high player who fights rank to roll new hand green hand player's situation appearance, reduce the player's of each rank game experiencing.
Summary of the invention
The object of the invention is the shortcoming and defect in order to solve above-mentioned prior art, a kind of method object of object matching is providedThe method and system of joining, affect each object for appreciation because the fight rank between the player after the match is successful is different in the class game of avoiding racingThe phenomenon of the game experiencing of family occurs, and has realized level of the same race or with the object of kind or demand of the same race accurate quick simultaneouslyJoin the efficiency of raising object matching and intelligent.
A method for object matching, comprises the following steps:
Set up match-type and the grouping of multiple characteristic value for object;
Receive matching instruction, extract respectively the matched data of each object according to match-type, and according to the coupling number of each objectAccording to generating and its characteristic of correspondence value;
Judge respectively the characteristic value grouping under it according to the characteristic value of each object, and each object is assigned to respectively under itCharacteristic value grouping in;
Judge respectively whether the quantity that is assigned to the object in each characteristic value grouping satisfies the demands; If satisfy the demands, record alsoRemove all objects in the characteristic value grouping having satisfied the demands; Otherwise, the characteristic value grouping of unmet demand is continued to a point pairingResemble.
As shown from the above technical solution, the method for object matching of the present invention is by setting up match-type and multiple feature for objectValue is grouped into and realizes all set characteristic value grouping before object matching; And by step according to match-type extract each objectJoin data, realized the eliminating of the extraneous data in object data and avoided the impact of extraneous data and eliminated extraneous data placeThe program of reason, improves object matching efficiency; By matched data generating feature value, realize the coupling of object according to characteristic value simultaneouslyGrouping, has improved compatible degree and the degree of accuracy between the object dividing into groups, has realized level of the same race or same kind or has had order of the same raceAccurate coupling and the Intelligent Matching of target object. Therefore, the method for object matching of the present invention not only can avoid game in because ofBe made into fight rank between the player after merit phenomenons different and that affect each player's game experiencing and occur, and realizedLevel of the same race or with the accurate Rapid matching of the object of kind or demand of the same race, improves the efficiency of object matching and intelligent.
Further, described step is set up in match-type and the grouping of multiple characteristic value for object, described multiple characteristic value groupingsFoundation comprises the following steps:
Extract the matched data of all objects according to match-type;
Set up multiple range of characteristic values according to all matched datas;
Generate respectively and the multiple characteristic values grouping one to one of multiple range of characteristic values.
By above-mentioned steps, be conducive to further ensure the objectivity of characteristic value grouping and the accuracy of grouping.
Further, described step receives matching instruction, extracts respectively the matched data of each object according to match-type, and according toThe matched data of each object generates and its characteristic of correspondence value, specifically comprises the following steps:
Receive matching instruction, from the database of each object, search respectively the data relevant to described match-type, extract and markMultiple data that will is relevant to match-type, as matched data;
Extract after matched data, according to match-type set up respectively with matched data in multiple data matching factor one to one;
Calculate respectively the product of described multiple data matching factor corresponding with it, and draw in the matched data of each object allThe summation of product, generates the characteristic value of each object.
By above-mentioned steps, according to practical application needs, determine the order of the importance of all data in the matched data of object,And determine matching factor according to the difference of the importance of all data, utilize matching factor to calculate thereby further improvedThe characteristic value of each object has the practical significance that more can embody its needs or its level or its object or its classification, can enter thusOne step improves the accuracy of object matching.
Further, described step judges respectively whether the quantity that is assigned to the object in each characteristic value grouping satisfies the demands; If fullFoot demand, records and removes all objects in the characteristic value grouping having satisfied the demands; Otherwise, to the feature of unmet demandValue grouping continues distribution object; Specifically comprise the following steps:
The object of setting in each characteristic value grouping holds quantity;
Record is assigned to the number of objects in each characteristic value grouping;
The object that relatively each characteristic value is divided into groups respectively holds the size of quantity and number of objects; If number of objects and object holdPopulation size is consistent, records and remove all objects in the characteristic value grouping of the same size of number of objects and object capacity; No, number of objects is held to the characteristic value grouping that quantity is little than object and continue distribution object.
By above-mentioned steps, ensured that the number of objects in each characteristic value grouping can meet actual needs, avoided simultaneously byNumber of objects in same stack features value grouping too much causes that the phenomenon that grouping error increases and matching speed reduces occurs.
Further, complete object matching after characteristic value grouping, when the actual match quantity of the object of needs coupling is less than characteristic valueObject in grouping holds quantity, further comprising the steps of:
Set matching value scope;
From the grouping of same characteristic value, choose that quantity equates with actual match quantity and mutual characteristic value difference in described matching value modelObject in enclosing, generates multiple object matching groups;
Judge whether the number of objects in each object matching group equates with actual match quantity; If equated, coupling completes; No, carry out following steps:
Judge and in same stack features value, whether also have not match objects; If existed, continue choosing from same characteristic value groupingGet object and enter in object matching group, and the characteristic value of the object the being selected feature of mating the arbitrary object in group with this group objectsThe difference of value is within the scope of described matching value; If there is no, it fails to match, and carry out following steps:
Start timing counting match time;
The range of characteristic values of revisory eigenvalue grouping within timing match time, expands range of characteristic values and object and holds quantity;
After timing counting match time, timing match triggers, it fails to match, and object is fitted in object matching group, andThe characteristic value of joining unsuccessfully object is mated the difference of the wherein characteristic value of an object of group within the scope of described matching value with this group objects,Coupling completes.
By above-mentioned steps, meet the object matching demand to less number of matches, by choosing in same characteristic value groupingThe object that characteristic value is close further mates, and has avoided the matching operation again of the object to less number of matches, and it is right also to have avoidedObject in the grouping of further feature value is analyzed, and has reduced data analysis operation, thereby is conducive to the base in former characteristic value groupingOn plinth, improve the matching efficiency of object. Meanwhile, success or the failure of the coupling by automatic detected object, in time revisory eigenvalueThe range of characteristic values of grouping, for the object that it fails to match starts coupling automatically, strengthens the success rate of object matching, simultaneously also favourableIn characteristic value further approach actual needs, further improve accuracy and the validity of characteristic value.
Further, the method for object matching of the present invention is further comprising the steps of:
Obtain the object that the match is successful;
Generate other data group of many categories according to the type of multiple data of matched data, and by all objects that the match is successfulMultiple data of joining in data are extracted respectively in the data group identical with its type;
Calculate respectively the difference mean value of all data in each data group;
Change respectively the matching factor corresponding with it according to the size of the difference mean value of each data group, realization character value and featureThe correction of value scope.
By above-mentioned steps, obtain the object that the match is successful, and the matched data of the object that the match is successful is analyzed, lastThe revision of the range of characteristic values of dividing into groups by change matching factor realization character value and characteristic value, is conducive to further improve characteristic valueThe range of characteristic values of grouping and the compactness of characteristic value and practical application, thus the phase recency between match objects further improved,Also improved the successful probability of object matching.
Correspondingly, it is a kind of for realizing the system of object matching of method of above-mentioned object matching that the present invention also provides, and it comprisesObject data stores module, set up module, instruction module, characteristic value generation module, distribution module and judge module;
Described object data stores module, for storing the data of all objects that need coupling;
The described module of setting up, for setting up match-type and the grouping of multiple characteristic value for object;
Described instruction module, for receiving matching instruction, and transmission becomes extremely described characteristic value generation module of instruction throughout one's life:
Described characteristic value generation module, for responding after described generation instruction, according to match-type extract respectively each objectJoin data, and generate and its characteristic of correspondence value according to the matched data of each object;
Described distribution module, for judge respectively the characteristic value grouping under it according to the characteristic value of each object, and by each rightResemble and be assigned to respectively in its affiliated characteristic value grouping;
Whether described judge module, satisfy the demands for the quantity that judges respectively the object that is assigned to each characteristic value grouping; IfSatisfy the demands, stopped to the characteristic value grouping distribution object having satisfied the demands by distribution module; Otherwise, by distribution module to notThe characteristic value grouping satisfying the demands continues distribution object.
Further, the described module of setting up comprises that extracting submodule, scope sets up submodule and characteristic value grouping submodule:
Described extraction submodule, for extracting the matched data of all objects according to match-type;
Described scope is set up submodule, sets up multiple range of characteristic values for all matched datas according to described extraction submodule;
Described characteristic value grouping submodule, sets up multiple range of characteristic values of submodule, and generates respectively for calling described scopeWith the multiple characteristic value groupings one to one of described multiple range of characteristic values.
Further, described characteristic value generation module comprises response submodule, searches submodule, matching factor submodule and characteristic valueSubmodule;
Described response submodule, for responding after described generation instruction, send a look-up command to described in search submodule;
The described submodule of searching, for receiving after look-up command, respectively from the database of each object of object data stores moduleIn search the data relevant to described match-type, multiple data that extraction mark are relevant to match-type, as matched data;And send an extraction and complete instruction to described matching factor submodule;
Described matching factor submodule, has extracted after instruction for receiving, according to match-type set up respectively with the described son of searchingMultiple data matching factor one to one in the matched data of module; And send a coefficient and complete instruction to described characteristic valueModule;
Described characteristic value submodule, completes after instruction for receiving coefficient, described in calculating respectively, searches in the matched data of submoduleThe product of multiple data matching factor corresponding with it, and draw the summation of all products in the matched data of each object, rawBecome the characteristic value of each object.
Further, described judge module comprises and holds quantity submodule, number of matches submodule, comparison sub-module and control submodulePiece;
The described quantity submodule that holds, holds quantity for the object of setting each characteristic value grouping;
Described number of matches submodule, for recording the number of objects that is assigned to each characteristic value grouping;
Described comparison sub-module, for respectively relatively the object of each characteristic value grouping hold the size of quantity and number of objects, andSend a comparative result to described control submodule;
Described control submodule, continues to distribute to characteristic value grouping for judging whether according to the comparative result of described comparison sub-moduleObject; If comparative result is number of objects and to hold population size consistent for object, controls submodule and record and remove number of objectsAll objects in the characteristic value grouping of the same size of amount and object capacity; Otherwise, control submodule control distribution module to objectQuantity is held than object the characteristic value grouping that quantity is little and is continued distribution object.
Further, the system of object matching of the present invention also comprises supplementary module, and described supplementary module is right for what mate at needsThe actual match quantity of elephant is less than the coupling again that realizes object when object in characteristic value grouping holds quantity, and it comprises matching valueSubmodule, object matching group submodule, quantity judge that submodule, object judge submodule, timing submodule, revise submoduleAnd distribution sub module:
Described matching value submodule, for setting matching value scope;
Described object matching group submodule, for choosing from the grouping of same characteristic value that quantity equates with actual match quantity and mutualThe object of characteristic value difference within the scope of described matching value, generate multiple object matching groups;
Whether described quantity judges submodule, equate with actual match quantity for the number of objects that judges each object matching group;If equated, coupling completes; Otherwise quantity forwarded judged result is to object judge module;
Described object judge module, for after received quantity judged result, judge same stack features value whether also exist do not mate rightResemble; If existed, send and carry out instruction to distribution sub module, continued to choose from same characteristic value grouping by distribution sub moduleObject enters in object matching group, and the characteristic value of the object the being selected characteristic value of mating the arbitrary object in group with this group objectsDifference within the scope of described matching value; If there is no, it fails to match, and send an enabled instruction to timing submodule;
Described timing submodule starts timing counting match time after receiving enabled instruction;
Described correction submodule, for the range of characteristic values of revisory eigenvalue grouping within timing match time of timing submodule,Hold quantity to expand range of characteristic values and object;
Described distribution sub module, for trigger timing coupling after timing counting match time, it fails to match, and object is matedEnter in object matching group, and the characteristic value of it fails to match object is mated the wherein difference of the characteristic value of an object of group with this group objectsWithin the scope of described matching value, coupling completes.
Further, the system of object matching of the present invention also comprises
Acquisition module, for obtaining the object that the match is successful;
Data extraction module, for generate other data group of many categories according to the type of multiple data of matched data, and will mateMultiple data in the matched data of successful all objects are extracted respectively in the data group identical with its type;
Mean value calculation module, for calculating respectively the difference mean value of all data of each data group;
Characteristic value correcting module, for changing respectively the coupling system corresponding with it according to the size of the difference mean value of each data groupNumber, the correction of realization character value and range of characteristic values.
Because the system of object matching of the present invention is corresponding to the method for object matching of the present invention, and it can realize thisThe method of bright object matching, therefore, the system of object matching of the present invention has method all of object matching of the present inventionTechnique effect.
In order to understand better and to implement, describe the present invention in detail below in conjunction with accompanying drawing.
Brief description of the drawings
Fig. 1 is the flow chart of the method for object matching of the present invention;
Fig. 2 is the flow chart of multiple characteristic values grouping establishment steps after improving in the step S1 of method of object matching of the present invention;
Fig. 3 is the flow chart of the step S2 after improving in the method for object matching of the present invention;
Fig. 4 is the flow chart of the step S4 after improving in the method for object matching of the present invention;
Fig. 5 is the step S51～S54 increasing after the method for object matching of the present invention is further improved, the flow chart of S541～S543;
Fig. 6 is according to the stream of the modified result range of characteristic values that the match is successful after the method for object matching of the present invention is further improvedCheng Tu;
Fig. 7 is the structured flowchart of the system of object matching of the present invention;
Fig. 8 is the structural representation of setting up module in the system of object matching of the present invention;
Fig. 9 is the structural representation of characteristic value generation module in the system of object matching of the present invention;
Figure 10 is the structural representation of judge module in the system of object matching of the present invention;
Figure 11 is that the system of object matching of the present invention is set up the structural representation after supplementary module;
Figure 12 is the structural frames of the system of the object matching after further improving in Figure 11.
Detailed description of the invention
To realize object matching and cause being paired to the object for appreciation in same athletic game in order to solve in prior art by randomly drawing modeThe fight rank of family is inconsistent or have greatly different gap, thereby can not make the player of high fight rank and suitable opponent enterRow sports, weaken player's experience sense of racing, and the situation that causes the player of high fight rank to roll new hand green hand player occurs, fallThe problem of the player's of low each rank game experiencing; Simultaneously also real by the mode of randomly drawing in order to solve in prior artShow object matching and cause the otherness between match objects excessive, thereby cause the problem that power reduces greatly that is matched to of object.The invention provides a kind of method and system of object matching, by setting up match-type for object and multiple characteristic value is grouped intoRealize all set characteristic value grouping before object matching; And extract the matched data of each object according to match-type, it is right to have realizedThe eliminating of the extraneous data in image data and avoid the impact of extraneous data and eliminated the program to extraneous data processing, it is right to improveResemble matching efficiency; By matched data generating feature value, realize the matched packet of object according to characteristic value simultaneously, raising groupingCompatible degree between object and the degree of accuracy, realize level of the same race or same kind or have target of the same race object accurate coupling andIntelligent Matching, the success rate of raising object matching. Below, specifically describe the method for object matching of the present invention.
Refer to Fig. 1, the method for object matching of the present invention comprises the following steps:
Step S1: set up match-type and the grouping of multiple characteristic value for object; In the present embodiment, described match-type is rootSet up according to actual needs, for example, the player in game fights coupling, and match-type is battle type; Characteristic value is dividedGroup is that required in type what relate to is player levels data and hiding coupling divided data in battle.
Step S2: receive matching instruction, extract respectively the matched data of each object according to match-type, and according to each objectMatched data generate with its characteristic of correspondence value; Play as example taking sports class, matching instruction is by after player triggers battle buttonAt once trigger. For example, because each player's data comprise polytype data: level data, hiding couplingDivided data, empirical value data, character data and ID data etc.; It is close that the object of actual match realizes fighting capacity levelPlayer's coupling, now object is player, matched data be from player's extracting data embody fighting capacity level etc.DBMS and hiding coupling divided data; Characteristic value now refers in conjunction with obtaining after level data and hiding coupling divided dataThe numerical value that can experience player's fighting capacity level.
Step S3: judge respectively the characteristic value grouping under it according to the characteristic value of each object, and each object is distributed respectivelyIn the characteristic value grouping under it;
Step S4: judge respectively whether the quantity that is assigned to the object in each characteristic value grouping satisfies the demands; If satisfy the demands,Record and remove all objects in the characteristic value grouping having satisfied the demands; Otherwise, the characteristic value grouping of unmet demand is continuedContinuous distribution object. Taking athletic game as example, due in sports, need to realize the player of some and will gather sports tripIn play scene, could realize player's sports. Therefore the quantity that, matches the player of same group of sports in scene must meet realityThe number of players that border sports need.
Refer to Fig. 2, for further ensureing the objectivity of characteristic value grouping and the accuracy of grouping, as a kind of more excellent technologyScheme, further perfect to the foundation of multiple characteristic value groupings in described step S1, the multiple features in the step S1 after improvingThe foundation of value grouping comprises the following steps:
Step S11: the matched data of extracting all objects according to match-type;
Step S12: set up multiple range of characteristic values according to all matched datas; Can limit range of characteristic values in conjunction with actual needs,For example, multiple range of characteristic values can be (0,10], (10,20], (20,30], (and 30,40] etc. In the present embodiment,For ensureing success rate and the proximity of match objects, preferably, the maximum in each range of characteristic values and the difference of minimum of a valueCodomain is [0,10].
Step S13: generate respectively and the multiple characteristic values grouping one to one of multiple range of characteristic values.
Below, taking athletic game as example illustrates step S11～S13 of the present invention. First, the foundation of characteristic value grouping can be regarded asIn advance all players' that participate in this game matched data to be carried out to the group result after statistical disposition, afterwards in player matchesJust do not need to re-establish characteristic value grouping, only need after upgrading matched data, recalculate characteristic value, and divide in former characteristic valueOn the basis of group, the range of characteristic values of revisory eigenvalue grouping, realizes player matches.
Refer to Fig. 3, for according to practical application needs, determine all data in the matched data of object importance timeOrder, and determine matching factor according to the difference of the importance of all data, thus the characteristic value that further strengthens each object hasMore can embody the practical significance of its needs or its level or its object or its classification, further improve the accuracy of object matching, doFor a kind of more excellent technical scheme, the present invention carries out further perfect to described step S2, and the step S2 after improving specifically comprisesFollowing steps:
Step S21: receive matching instruction, from the database of each object, search respectively the data relevant to described match-type,Multiple data that extraction mark are relevant to match-type, as matched data; Matched data in this step is by extracting thisCarve and participate in that the related data of object of coupling draws, this related data does not likely change, and is likely also by last timeAgain the data after upgrading after coupling.
Step S22: extract after matched data, set up corresponding one by one with the multiple data in matched data respectively according to match-typeMatching factor; As an example of athletic game example explanation, matching factor be herein for weigh determine player fighting capacity level etc.The importance of DBMS and hiding coupling divided data, also, in level data and coupling divided data, which data is only to weigh and playsThe data of the outbalance of family's fighting capacity level. Which data outbalance, its matching factor is also larger.
Step S23: calculate respectively the product of described multiple data matching factor corresponding with it, and draw the coupling of each objectThe summation of all products in data, generates the characteristic value of each object. As an example of athletic game example explanation, suppose certain player etc.DBMS is 120, the matching factor of level data is 1, and coupling divided data is 8, the matching factor of coupling divided data is 1000(current application, the coefficient of coupling point need to be greater than the maximum of grade), this player's characteristic value be 120 × 1+8 ×1000＝8120。
Refer to Fig. 4, for further ensure that the number of objects in each characteristic value grouping can meet actual needs, avoids simultaneouslyBecause too much causing the phenomenon that grouping error increases and matching speed reduces, the number of objects in same stack features value grouping occurs,As a kind of more excellent technical scheme, further perfect to described step S4: the step S4 after improving comprises the following steps:
Step S41: the object of setting in each characteristic value grouping holds quantity; Described object holds quantity and can be regarded as a spyThe largest object quantity that can comprise in the value of levying grouping, also can be regarded as the number of objects that needs coupling.
Step S42: record is assigned to the number of objects in each characteristic value grouping;
Step S43: the object that relatively each characteristic value is divided into groups respectively holds the size of quantity and number of objects; If number of objectsTo hold population size consistent with object, records and remove the institute in the characteristic value grouping of the same size of number of objects and object capacityThere is object; Otherwise, number of objects is held to the characteristic value grouping that quantity is little than object and continues distribution object. Thus, by recordAnd remove all objects in number of objects and object capacity characteristic value grouping of the same size, thereby by the object note that the match is successfulRecord is got off, and also in time the object that the match is successful is removed from characteristic value grouping simultaneously, has ensured that characteristic value grouping can not accumulate a large amount ofData and affect operating efficiency.
Refer to Fig. 5, in order to meet object matching demand to less number of matches, avoid object to less number of matchesAgain matching operation, also avoids the object in the grouping of further feature value to analyze, and reduces data analysis operation, realizes formerOn the basis of characteristic value grouping, improve the matching efficiency of object. Meanwhile, realization can be by the success of the coupling of automatic detected objectOr failure, the range of characteristic values of revisory eigenvalue grouping in time, for the object that it fails to match starts coupling automatically, strengthens objectThe success rate of joining, makes characteristic value further approach actual needs, thereby further improves accuracy and the validity of characteristic value,As a kind of more excellent technical scheme, technical scheme of the present invention is further improved, also, complete object matching to characteristic valueAfter grouping, in the time that the actual match quantity of the object of needs couplings is less than object in characteristic value grouping and holds quantity, the present invention coupleThe method that resembles coupling is further comprising the steps of:
Step S51: set matching value scope; In the present embodiment, matching value scope refers to the object that will mate in same groupThe residing scope of difference of characteristic value and the characteristic value of the object mating, and range of characteristic values refers to that the characteristic value of object is of living inScope. In the present embodiment, the codomain of the maximum of matching value scope and the difference of minimum of a value can be set as [0,3].
Step S52: from the grouping of same characteristic value, choose that quantity equates with actual match quantity and mutual characteristic value difference in instituteState the object within the scope of matching value, generate multiple object matching groups;
Step S53: judge whether the number of objects in each object matching group equates with actual match quantity; If equated,Join; Otherwise, carry out following steps:
Step S54: judge whether also there is not match objects in same stack features value; If exist, continue from same featureIn value grouping, choose object and enter in object matching group, and the characteristic value of the object being selected is mated arbitrary in group with this group objectsThe difference of the characteristic value of object is within the scope of described matching value; If there is no, it fails to match, and carry out following steps:
Step S541: start timing counting match time; Can set according to actual needs regularly match time, for example, can setRegularly be 30s match time.
Step S542: the range of characteristic values of revisory eigenvalue grouping within timing match time, expands range of characteristic values and object and holdReceive quantity;
Step S543: after timing counting match time, timing match triggers, it fails to match, and object is fitted into object matchingIn group, and the characteristic value of it fails to match object the is mated group difference of the wherein characteristic value of an object with this group objects is in described couplingWithin the scope of value, coupling completes.
Refer to Fig. 6, for realizing according to the range of characteristic values of the match is successful modified result characteristic value grouping, thereby further improvePhase recency and object between the range of characteristic values of characteristic value grouping and compactness, the match objects of characteristic value and practical applicationJoin successful probability, as a kind of more excellent technical scheme, the method for object matching of the present invention also comprises the knot according to the match is successfulThe step of fruit revisory eigenvalue scope:
Step S61: obtain the object that the match is successful;
Step S62: generate other data group of many categories according to the type of multiple data of matched data, and by the institute that the match is successfulThere are the multiple data in the matched data of object to extract respectively in the data group identical with its type;
Step S63: the difference mean value that calculates respectively all data in each data group;
Step S64: change respectively the matching factor corresponding with it according to the size of the difference mean value of each data group, realize specialThe correction of the value of levying and range of characteristic values.
Refer to Fig. 7, correspondingly, it is a kind of for realizing the object matching of method of above-mentioned object matching that the present invention also providesSystem, it comprises object data stores module 1, sets up module 2, instruction module 3, characteristic value generation module 4, distribution module5 and judge module 6.
Described object data stores module 1, for storing the data of all objects that need coupling.
The described module 2 of setting up, for setting up match-type and according to the multiple features of the object data of object data stores module 1Value grouping.
Described instruction module 3, for receiving matching instruction, and transmission becomes instruction to described characteristic value generation module 4 all one's life.
Described characteristic value generation module 4, for responding after described generation instruction, extracts respectively each object according to match-typeMatched data, and generate and its characteristic of correspondence value according to the matched data of each object.
Described distribution module 5, for judge respectively the characteristic value grouping under it according to the characteristic value of each object, and by eachObject is assigned to respectively in the characteristic value grouping under it.
Described judge module 6, is assigned to object in each characteristic values grouping of characteristic value generation module 4 for judgement respectivelyWhether quantity satisfies the demands; If satisfy the demands, stopped to the characteristic value grouping distribution object having satisfied the demands by distribution module 5;Otherwise, by distribution module 5, the characteristic value grouping of unmet demand is continued to distribution object.
Refer to Fig. 8, as a kind of more excellent technical scheme, the described module 2 of setting up comprises extraction submodule 21, scope foundationSubmodule 22 and characteristic value grouping submodule 23. Described extraction submodule 21, for extracting all objects according to match-typeMatched data. Described scope is set up submodule 22, sets up many for all matched datas according to described extraction submodule 21Individual range of characteristic values. Described characteristic value grouping submodule 23, sets up multiple characteristic values of submodule 22 for calling described scopeScope, and generate respectively and the multiple characteristic values grouping one to one of described multiple range of characteristic values.
Refer to Fig. 9, as a kind of more excellent technical scheme, described characteristic value generation module 4 comprises response submodule 41, looks intoLook for submodule 42, matching factor submodule 43 and characteristic value submodule 44. Described response submodule 41, for responding described lifeBecome after instruction, send a look-up command to described in search submodule 42. The described submodule 42 of searching, for receiving after look-up command,From the database of each object of object data stores module 1, search the data relevant to described match-type respectively, extract alsoIndicate the multiple data relevant to match-type, as matched data; And send an extraction and complete instruction to described matching factorModule 43. Described matching factor submodule 43, has extracted after instruction for receiving, and sets up respectively with described according to match-typeSearch the multiple data matching factor one to one in the matched data of submodule 42; And send a coefficient complete instruction to described inCharacteristic value submodule 44. Described characteristic value submodule 44, completes after instruction for receiving coefficient, described in calculating respectively, searches submoduleThe product of multiple data in the matched data of piece 42 matching factor corresponding with it, and draw institute in the matched data of each objectThere is the summation of product, generate the characteristic value of each object.
Refer to Figure 10, as a kind of more excellent technical scheme, described judge module 6 comprise hold quantity submodule 61, couplingQuantity submodule 62, comparison sub-module 63 and control submodule 64. The described quantity submodule 61 that holds, for setting each spyObject in the value of levying grouping holds quantity. Described number of matches submodule 62, is assigned to each characteristic value grouping for recordingNumber of objects. Described comparison sub-module 63, for respectively relatively the object of each characteristic value grouping hold quantity and number of objectsSize, and send a comparative result to described control submodule 64. Described control submodule 64, for according to described relatively submoduleThe comparative result of piece 63 judges whether to continue to characteristic value grouping distribution object; If being number of objects and object, holds comparative resultPopulation size is consistent, controls submodule 64 and records and remove in number of objects and object capacity characteristic value grouping of the same sizeAll objects; Otherwise control submodule 64 is controlled distribution module 5 number of objects is held to the characteristic value grouping that quantity is little than objectContinue distribution object.
Refer to Figure 11, as a kind of more excellent technical scheme, the system of object matching of the present invention also comprises supplementary module 7. InstituteState supplementary module 7, while holding quantity for be less than the object of characteristic value grouping in the actual match quantity of the object of needs couplingsRealize the coupling again of object, it comprise matching value submodule 71, object matching group submodule 72, quantity judge submodule 73,Object judges submodule 74, timing submodule 75, revises submodule 76 and distribution sub module 77.
Described matching value submodule 71, for setting matching value scope.
Described object matching group submodule 72, equates and phase with actual match quantity for choosing quantity from same characteristic value groupingThe object of mutual characteristic value difference within the scope of described matching value, generates multiple object matching groups.
Described quantity judges submodule 73, for whether phase of the number of objects that judges each object matching group and actual match quantityDeng; If equated, coupling completes; Otherwise quantity forwarded judged result is to object judge module 6.
Described object judges submodule 74, for judging after received quantity judged result that whether same stack features value also exists notPairing resembles; If existed, send and carry out instruction to distribution sub module 77, continued from same characteristic value by distribution sub module 77In grouping, choose object and enter in object matching group, and the characteristic value of the object being selected is mated arbitrary right in group with this group objectsThe difference of the characteristic value of elephant is within the scope of described matching value; If there is no, it fails to match, and send an enabled instruction to fixedTime submodule 75.
Described timing submodule 75 starts timing counting match time after receiving enabled instruction.
Described correction submodule 76, for the characteristic value of revisory eigenvalue grouping within timing match time of timing submodule 75Scope, to expand range of characteristic values and object holds quantity.
Described distribution sub module 77, for trigger timing coupling after counting in timing match time, it fails to match object byAllocate in object matching group, and the characteristic value of it fails to match object is mated characteristic value poor of a wherein object of group with this group objectsBe worth within the scope of described matching value, coupling completes.
Refer to Figure 12, as a kind of more excellent technical scheme, the system of object matching of the present invention also comprises
Acquisition module 81, for obtaining the object that the match is successful;
Data extraction module 82, for generate other data group of many categories according to the type of multiple data of matched data, and generalMultiple data of joining in the matched data of successful all objects are extracted respectively in the data group identical with its type;
Mean value calculation module 83, for calculating respectively the difference mean value of all data of each data group;
Characteristic value correcting module 84, for changing respectively the coupling corresponding with it according to the size of the difference mean value of each data groupCoefficient, the correction of realization character value and range of characteristic values.
Because the system of object matching of the present invention can realize object matching method of the present invention, therefore, can be in conjunction with of the present invention rightThe operation principle that resembles the system of coupling separating method to object matching of the present invention is understood, therefore do not repeat them here.
Below, the application in practice of the method and system of simply introducing object matching of the present invention, but be not limited to following instituteThe application of introducing:
1, the application in game: player need to realize wartime by coupling, ensure battle player fight level consistent orClose. For example: in certain a game, match-type is battle type, and the matched data that can weigh player's fight level isEach player's grade and coupling point, wherein, it is to add after reducing according to player's performance in game for a long time that this coupling is dividedObtain, this score value is higher reflects that this player's fight level is higher, and known coupling is divided with respect to grade and more can be weighedAmount player's fight level, the matching factor that coupling is divided should be higher than the matching factor of grade, subsequently can be according to of the present inventionDescribed step S21～S23 in the method for object matching realizes the calculating of player's characteristic value. Then according to the feature calculatingValue enters in corresponding characteristic value grouping, realizes the coupling of object.
The application of 2, communications and transportation aspect: can realize the promptness of utilizing substantially means of transport and transport by the present invention,Now, can generate corresponding characteristic value grouping by the logistics capacity of statistics day part and transport capacity, then using means of transport as rightResemble, according to the logistics capacity of day part, it is matched respectively in corresponding grouping.
3, the application in tourism and leisure: according to each area and play and recommend and the kind of playing generates the grouping of corresponding characteristic value,Using user's the type demand of playing and the place of playing as the matched data of object, obtain thus the characteristic value that user plays,Matched in the grouping of characteristic of correspondence value according to its characteristic value, user can check the actual place of playing of coupling.
With respect to prior art, the method and system of object matching of the present invention not only can be avoided in game because of the object for appreciation after the match is successfulFight rank between family phenomenons different and that affect each player's game experiencing occur, and realized level of the same race or withThe accurate Rapid matching of the object of kind or demand of the same race, the efficiency of raising object matching and intelligent successful with object matchingProbability.
The present invention is not limited to above-mentioned embodiment, if various changes of the present invention or distortion are not departed to spirit of the present inventionAnd scope, if within these changes and distortion belong to claim of the present invention and equivalent technologies scope, the present invention is also intended toComprise these changes and distortion.
Claims (12)
1. a method for object matching, is characterized in that: comprise the following steps:
Set up match-type and the grouping of multiple characteristic value for object;
Receive matching instruction, extract respectively the matched data of each object according to match-type, and according to the coupling number of each objectAccording to generating and its characteristic of correspondence value;
Judge respectively the characteristic value grouping under it according to the characteristic value of each object, and each object is assigned to respectively under itCharacteristic value grouping in;
Judge respectively whether the quantity that is assigned to the object in each characteristic value grouping satisfies the demands; If satisfy the demands, record alsoRemove all objects in the characteristic value grouping having satisfied the demands; Otherwise, the characteristic value grouping of unmet demand is continued to a point pairingResemble.
2. method according to claim 1, is characterized in that: described step is set up match-type and multiple feature for objectIn value grouping, the foundation of described multiple characteristic value groupings comprises the following steps:
Extract the matched data of all objects according to match-type;
Set up multiple range of characteristic values according to all matched datas;
Generate respectively and the multiple characteristic values grouping one to one of multiple range of characteristic values.
3. method according to claim 2, is characterized in that: described step receives matching instruction, according to match-type respectivelyExtract the matched data of each object, and generate and its characteristic of correspondence value according to the matched data of each object, specifically comprise withLower step:
Receive matching instruction, from the database of each object, search respectively the data relevant to described match-type, extract and markMultiple data that will is relevant to match-type, as matched data;
Extract after matched data, according to match-type set up respectively with matched data in multiple data matching factor one to one;
Calculate respectively the product of described multiple data matching factor corresponding with it, and draw in the matched data of each object allThe summation of product, generates the characteristic value of each object.
4. method according to claim 1, is characterized in that: during described step judges that being respectively assigned to each characteristic value divides into groupsThe quantity of object whether satisfy the demands; If satisfy the demands, record and remove owning in the characteristic value grouping having satisfied the demandsObject; Otherwise, the characteristic value grouping of unmet demand is continued to distribution object; Specifically comprise the following steps:
The object of setting in each characteristic value grouping holds quantity;
Record is assigned to the number of objects in each characteristic value grouping;
The object that relatively each characteristic value is divided into groups respectively holds the size of quantity and number of objects; If number of objects and object holdPopulation size is consistent, records and remove all objects in the characteristic value grouping of the same size of number of objects and object capacity; No, number of objects is held to the characteristic value grouping that quantity is little than object and continue distribution object.
5. method according to claim 4, is characterized in that: complete object matching after characteristic value grouping, when needs couplingThe object that is less than in characteristic value grouping of the actual match quantity of object hold quantity, further comprising the steps of:
Set matching value scope;
From the grouping of same characteristic value, choose that quantity equates with actual match quantity and mutual characteristic value difference in described matching value modelObject in enclosing, generates multiple object matching groups;
Judge whether the number of objects in each object matching group equates with actual match quantity; If equated, coupling completes; No, carry out following steps:
Judge and in same stack features value, whether also have not match objects; If existed, continue choosing from same characteristic value groupingGet object and enter in object matching group, and the characteristic value of the object the being selected feature of mating the arbitrary object in group with this group objectsThe difference of value is within the scope of described matching value; If there is no, it fails to match, and carry out following steps:
Start timing counting match time;
The range of characteristic values of revisory eigenvalue grouping within timing match time, expands range of characteristic values and object and holds quantity;
After timing counting match time, timing match triggers, it fails to match, and object is fitted in object matching group, andThe characteristic value of joining unsuccessfully object is mated the difference of the wherein characteristic value of an object of group within the scope of described matching value with this group objects,Coupling completes.
6. method according to claim 3, is characterized in that: further comprising the steps of:
Obtain the object that the match is successful;
Generate other data group of many categories according to the type of multiple data of matched data, and by all objects that the match is successfulMultiple data of joining in data are extracted respectively in the data group identical with its type;
Calculate respectively the difference mean value of all data in each data group;
Change respectively the matching factor corresponding with it according to the size of the difference mean value of each data group, realization character value and featureThe correction of value scope.
7. a system for object matching, is characterized in that: comprise object data stores module, set up module, instruction module, spyThe value of levying generation module, distribution module and judge module;
Described object data stores module, for storing the data of all objects that need coupling;
The described module of setting up, for setting up match-type and the grouping of multiple characteristic value for object;
Described instruction module, for receiving matching instruction, and transmission becomes extremely described characteristic value generation module of instruction throughout one's life:
Described characteristic value generation module, for responding after described generation instruction, according to match-type extract respectively each objectJoin data, and generate and its characteristic of correspondence value according to the matched data of each object;
Described distribution module, for judge respectively the characteristic value grouping under it according to the characteristic value of each object, and by each rightResemble and be assigned to respectively in its affiliated characteristic value grouping;
Whether described judge module, satisfy the demands for the quantity that judges respectively the object that is assigned to each characteristic value grouping; IfSatisfy the demands, stopped to the characteristic value grouping distribution object having satisfied the demands by distribution module; Otherwise, by distribution module to notThe characteristic value grouping satisfying the demands continues distribution object.
8. system according to claim 7, is characterized in that: the described module of setting up comprises extraction submodule, scope foundationModule and characteristic value grouping submodule:
Described extraction submodule, for extracting the matched data of all objects according to match-type;
Described scope is set up submodule, sets up multiple range of characteristic values for all matched datas according to described extraction submodule;
Described characteristic value grouping submodule, sets up multiple range of characteristic values of submodule, and generates respectively for calling described scopeWith the multiple characteristic value groupings one to one of described multiple range of characteristic values.
9. system according to claim 8, is characterized in that: described characteristic value generation module comprises response submodule, searchesSubmodule, matching factor submodule and characteristic value submodule;
Described response submodule, for responding after described generation instruction, send a look-up command to described in search submodule;
The described submodule of searching, for receiving after look-up command, respectively from the database of each object of object data stores moduleIn search the data relevant to described match-type, multiple data that extraction mark are relevant to match-type, as matched data;And send an extraction and complete instruction to described matching factor submodule;
Described matching factor submodule, has extracted after instruction for receiving, according to match-type set up respectively with the described son of searchingMultiple data matching factor one to one in the matched data of module; And send a coefficient and complete instruction to described characteristic valueModule;
Described characteristic value submodule, completes after instruction for receiving coefficient, described in calculating respectively, searches in the matched data of submoduleThe product of multiple data matching factor corresponding with it, and draw the summation of all products in the matched data of each object, rawBecome the characteristic value of each object.
10. system according to claim 7, is characterized in that: described judge module comprise hold quantity submodule, coupling numberQuantum module, comparison sub-module and control submodule;
The described quantity submodule that holds, holds quantity for the object of setting each characteristic value grouping;
Described number of matches submodule, for recording the number of objects that is assigned to each characteristic value grouping;
Described comparison sub-module, for respectively relatively the object of each characteristic value grouping hold the size of quantity and number of objects, andSend a comparative result to described control submodule;
Described control submodule, continues to distribute to characteristic value grouping for judging whether according to the comparative result of described comparison sub-moduleObject; If comparative result is number of objects and to hold population size consistent for object, controls submodule and record and remove number of objectsAll objects in the characteristic value grouping of the same size of amount and object capacity; Otherwise, control submodule control distribution module to objectQuantity is held than object the characteristic value grouping that quantity is little and is continued distribution object.
11. systems according to claim 10, is characterized in that: also comprise supplementary module, described supplementary module, at needThe actual match quantity of the object mating is less than the coupling again that realizes object when object in characteristic value grouping holds quantity, itsComprise matching value submodule, object matching group submodule, quantity judge submodule, object judge submodule, timing submodule,Revise submodule and distribution sub module:
Described matching value submodule, for setting matching value scope;
Described object matching group submodule, for choosing from the grouping of same characteristic value that quantity equates with actual match quantity and mutualThe object of characteristic value difference within the scope of described matching value, generate multiple object matching groups;
Whether described quantity judges submodule, equate with actual match quantity for the number of objects that judges each object matching group;If equated, coupling completes; Otherwise quantity forwarded judged result is to object judge module;
Described object judge module, for after received quantity judged result, judge same stack features value whether also exist do not mate rightResemble; If existed, send and carry out instruction to distribution sub module, continued to choose from same characteristic value grouping by distribution sub moduleObject enters in object matching group, and the characteristic value of the object the being selected characteristic value of mating the arbitrary object in group with this group objectsDifference within the scope of described matching value; If there is no, it fails to match, and send an enabled instruction to timing submodule;
Described timing submodule starts timing counting match time after receiving enabled instruction;
Described correction submodule, for the range of characteristic values of revisory eigenvalue grouping within timing match time of timing submodule,Hold quantity to expand range of characteristic values and object;
Described distribution sub module, for trigger timing coupling after timing counting match time, it fails to match, and object is matedEnter in object matching group, and the characteristic value of it fails to match object is mated the wherein difference of the characteristic value of an object of group with this group objectsWithin the scope of described matching value, coupling completes.
12. systems according to claim 9, is characterized in that: also comprise
Acquisition module, for obtaining the object that the match is successful;
Data extraction module, for generate other data group of many categories according to the type of multiple data of matched data, and will mateMultiple data in the matched data of successful all objects are extracted respectively in the data group identical with its type;
Mean value calculation module, for calculating respectively the difference mean value of all data of each data group;
Characteristic value correcting module, for changing respectively the coupling system corresponding with it according to the size of the difference mean value of each data groupNumber, the correction of realization character value and range of characteristic values.
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