CN1302410A - Method and system for multi-lingual on-line object matching - Google Patents
Method and system for multi-lingual on-line object matching Download PDFInfo
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- CN1302410A CN1302410A CN00800664A CN00800664A CN1302410A CN 1302410 A CN1302410 A CN 1302410A CN 00800664 A CN00800664 A CN 00800664A CN 00800664 A CN00800664 A CN 00800664A CN 1302410 A CN1302410 A CN 1302410A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/2428—Query predicate definition using graphical user interfaces, including menus and forms
Abstract
A method and system for on-line interactive object matching, including entering subscriber data (105) into a subscriber database by means of a form page, using a first language, the subscriber database storing subscriber data (105), the subscriber data (105) including subscriber identification attributes (115 and 125)) and subscriber request attributes (120 and 130), searching an object database to find data for at least one candidate object (110) within the object database, the object database storing object data, the object including object identification attributes (115 and 125) and object request attributes (120 and 130), and the at least one candidate object being characterized in that its identification attributes (115 and 125) at least partially match corresponding subscriber request attributes (120 and 130), and displaying the at least one candidate object by means of a form page, using a second language.
Description
The present invention relates to the object coupling in the database.
Following patent obtains through U.S. Patent search, it is believed that these patents are relevant with the field of the invention:
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WO09717663A1；WO09726614A1；WO09718516A1；
EP00669021A1；EP00762299A1；EP00829053A1；EP00875034A1；EP00388148B1；
EP00121071A2；EP00333612A2；EP00376316A2；EP00887748A2；EP00333612A3；
EP00376316A3；EP00388148A3；
The invention provides a kind of method and system that carries out the online coupling of multilingual by the internet.When using in conjunction with appointment service, by searching the candidate target that mates with each user, the present invention can be used to make the user of a plurality of countries to match each other.When using in conjunction with the job hunting service, the present invention can be used for making job vacancy and job applicant's coupling of a plurality of countries.
The invention enables different nationalities' people can use the coupling application of same version with its mother tongue.The present invention does not need to use the version of a plurality of localizations of this application, and does not need to concentrate a plurality of databases.
According to the preferred embodiments of the present invention, a kind of method that is used for on-line interaction object coupling is provided, may further comprise the steps: use first language to import user data to customer data base by means of form page, described subscriber database stores user data, described user data comprises User Recognition attribute and user's request attribute, the searching object database, so that in object database, search the data of at least one candidate target, described object database storage object data, described object data comprises object recognition property and object requests attribute, and at least one candidate target is characterised in that, its recognition property mates with corresponding user's request attribute at least in part, and uses second language to show at least one candidate target by means of form page.
According to the preferred embodiments of the present invention, a kind of system that is used for on-line interaction object coupling also is provided, described system comprises: data capture unit, be used to use first language to obtain user data in the customer data base by means of form page, described subscriber database stores user data, described user data comprises User Recognition attribute and user's request attribute, the database retrieval engine, be used for the searching object database, so that in object database, search the data of at least one candidate target, described object database storage object data, described object data comprises object recognition property and object requests attribute, and at least one candidate target is characterised in that its recognition property mates with corresponding user's request attribute at least in part, and display device, it uses second language to show at least one candidate target by means of form page.
Can understand the present invention more fully below in conjunction with the detailed description that accompanying drawing carries out, wherein:
Fig. 1 represents that use in a preferred embodiment of the invention and database language independent simplifiedly;
Fig. 2 represents to search according to the preferred embodiments of the present invention the database retrieval engine of user's candidate target simplifiedly; And
Fig. 3 illustrates the online object matching system of multilingual according to the preferred embodiments of the present invention operation simply.
The present invention relates to the online internet of multilingual match service.Be provided for discerning the data of description of himself with the data of describing the object that they will search according to the user of the preferred embodiments of the present invention operated system.When as appointment service, user and object can all be the people who wishes to meet other people.When as employing when service, the user can be employer, and object can be to seek the people that employed, and perhaps the user seeks the people that employed, and object can be a vacant job.
Multilingual ability of the present invention makes same coupling application to use internationally.The present invention does not need to use application version and a plurality of complete database that is used to support multilingual a plurality of localizations.But be concentrated in the data that multilingual is imported into coupling application in the public database of and language independent.As a result, the present invention can make the people from country variant utilize its mother tongue separately to use a public appointment system, and is mated mutually.
According to the preferred embodiments of the present invention, user data is stored in the customer data base, and object data is stored in the object database.Customer data base can be same database with object database, or the database different with object database.Be used to discern user's data preferably one group of User Recognition attribute, for example user's age, height, body weight, eye color, hair color, educational background, nationality and occupation.The data that are used to describe the object that the user seeks are one group of user's request attribute preferably.Can use same group of attribute as identification and request attribute, perhaps use not on the same group attribute as identification and request attribute.
Similarly, the data that are used for identifying object are a group objects recognition property preferably, and is used to describe a user's data group objects request attribute preferably that is suitable for object.
When the user imported its recognition property and request attribute in customer data base, the present invention just retrieved in object database, so that search the candidate target that mates with user's request.
Those skilled in the art should be appreciated that the matching criterior that can use several types in the present invention.Can use unidirectional coupling in object database, to search the candidate target of its recognition property and corresponding user's request attribute coupling.In addition, unidirectional coupling can be a kind of " coupling completely ", so as to making all object recognition properties and corresponding user's request attribute coupling, perhaps described coupling can be a kind of " part coupling ", so as to making some object recognition properties and corresponding user's request attribute coupling.
For more accurate coupling, the present invention uses two-way coupling, searches the candidate target of its recognition property and corresponding user's request attribute coupling and its request attribute and corresponding User Recognition attributes match in object database.In addition, each direction of two-way coupling can be to mate fully or the part coupling.For example, database retrieval can be searched such candidate target, its recognition property fully and user's request attribute mate, perhaps its request attribute partly with the User Recognition attributes match.
The present invention includes some object recognition property of expression and be important, other object recognition property is preferably to possess but the important ability of right and wrong.For example, in appointment service, for example these attributes of age and body weight may be important, and for example the nationality is important with occupation possibility right and wrong, when mating when the object of retrieving the candidate so that with the user, the preferred embodiments of the present invention are mated completely for important attribute compulsory implement, then carry out partly coupling for non-important attribute, as following with reference to as described in Fig. 2.
In one embodiment of the invention, stipulate that by the managerial personnel of object matching system which recognition property is important, which recognition property right and wrong is important.In another embodiment of the present invention, stipulate that by the user which recognition property is important, which recognition property right and wrong is important.In a described back embodiment, which recognition property is important, and which recognition property right and wrong is important, is stipulated by a people for each user, and is stipulated by different people for different users.And, repeatedly the user of using system can to change which recognition property for its people be important, the regulation which recognition property right and wrong is important.
Similarly, the User Recognition attribute also can be divided into important attribute and non-important attribute.Under the situation of two-way coupling, wherein object requests attribute and corresponding User Recognition attributes match are carried out coupling fully to important attribute, and non-important attribute is carried out the part coupling, as following with reference to as described in Fig. 2.
Referring now to Fig. 1,, wherein shows in a preferred embodiment of the invention that use and database language independent.Database 100 shown in Figure 1 comprises user data 105 and object data 110.As mentioned above, user of the present invention and object database can be independent database or same databases.For the sake of simplicity, a database 100 has been shown among Fig. 1.Database 100 storaging user datas 105 and object data 110.User data 105 comprises User Recognition attribute 115 and user's request attribute 120.User Recognition attribute 115 is used to describe user itself.The example of this attribute has user's age, height, body weight, eye color, hair color, educational background, nationality and occupation.User's request attribute 120 is used to describe the user and wants type with the object of its coupling.
Similarly, object data 110 comprises object recognition property 125 and object requests attribute 130.Object recognition property 125 is used to describe the object that is identified.Object requests attribute 130 is used to describe the type that is suitable for the user of described object coupling.
Identification and request attribute are divided into important in non-important.As shown in Figure 1, User Recognition attribute 115 is divided into important recognition property 135 and non-important recognition property 140, and user's request attribute 120 is divided into important request attribute 145 and non-important request attribute 150.Similarly, object recognition property 125 is divided into important recognition property 155 and non-important recognition property 160, and object requests attribute 130 is divided into important request attribute 165 and non-important request attribute 170.For example, age and body weight can be important attribute, and nationality and occupation can be non-important attribute.
Preferably, which of object recognition property 125 is important attribute 155, and which is which of non-important attribute 160 and user's request attribute 120 is important attribute 145, and which is that non-important attribute 150 is consistent.Guarantee that like this important attribute 155 can mate fully with important attribute 145, as following with reference to as described in Fig. 2.Similarly, which of user property 115 is important attribute 135, and which is which of object requests attribute 130 be non-important attribute 140 should be that important attribute 165 and which are that non-important attribute 170 is consistent with.This guarantees that important attribute 135 and important attribute 165 mate fully, as following with reference to as described in Fig. 2.
In one embodiment of the invention, which of object recognition property 125 to be important attribute 155 about, which is the supvr regulation of non-important attribute 160 by the system of mating.In another embodiment of the present invention, which of object recognition property 125 to be important attribute 155 about, which is that non-important attribute 160 is stipulated by the user.In these two embodiment, the classification in the middle of user's request attribute 120 is forced in the classification in the middle of object recognition property 125, so that guarantee that two kinds of classification are consistent, as mentioned above.
Similarly, in one embodiment of the invention, which of user property 115 is important attribute 135, and which is the supvr regulation of non-important attribute 140 by the system of mating.In another embodiment of the present invention, which of user property 115 is important attribute 135, and which is that non-important attribute 140 is by being stipulated by object.In these two embodiment, the classification in the middle of object requests attribute 130 is forced in the classification in the middle of User Recognition attribute 115, so that guarantee that two kinds of classification are consistent, as mentioned above.
Database 100 is arranged in server computer 175, by a plurality of client computers 180 visits that link to each other with server computer by the internet.Client computer 180 comprises display device 185 and web browser software, and described software is used for showing the HTML page or leaf that is sent by server computer 175, for example HTML page or leaf 190 and HTML page or leaf 195 on display device 185.
Preferably HTML page or leaf 190 contains the user interface that is useful on to database 100 input user data, and HTML page or leaf 195 contains to be useful on to the user and shows from the page of the candidate data-object of database 100 receptions.
Referring now to Fig. 2,, Fig. 2 brief description is searched the database retrieval engine of user's candidate target according to the preferred embodiments of the present invention.The user is to matching system input user data 205 of the present invention, so that search candidate target.Can by matching system visit to as if its feature object data to be imported into some objects of database.User data 205 comprises the User Recognition attribute 215 that is used to discern the user and is used to describe user's request attribute 220 that the user wants the object searched.Object data 210 comprises the object recognition property 225 that is used for identifying object and is used to discern to one to liking suitable user's object requests attribute 230.
Matching system is suitable for candidate target with user coupling by its object database retrieval then.Can use various types of retrievals.For example, can carry out its recognition property of unidirectional retrieval wholly or in part with the candidate target of user's request attribute coupling.This class retrieval satisfies the object of user's requirement.But, the user may not to satisfy for candidate target be the requirement of suitable necessity.
Can also carry out unidirectional retrieval by opposite direction, that is, search its request attribute completely or partially with the candidate target of User Recognition attributes match.This class retrieval for to as if suitable user, but, described object may not be customer satisfaction system.
In addition, can carry out two-way retrieval, search its recognition property completely or partially with user's request attribute coupling and its request attribute completely or partially with the User Recognition attributes match candidate target.This class retrieval can find for to liking suitable user, also satisfies user's requirement simultaneously.
As mentioned above, when carrying out unidirectional or two-way retrieval, the attribute that be mated can completely or partially mate.The object that its some attributes of part matched and searched and user's corresponding attributes match but other attribute not necessarily mate.Some attributes that will mate in this retrieval in general, are than the prior attribute of other attribute.
In a preferred embodiment, the present invention is divided into important attribute and non-important attribute to attribute.As shown in Figure 2, User Recognition attribute 215 is divided into important recognition property 235 and non-important recognition property 240, and user's request attribute 220 is divided into important request attribute 245 and non-important request attribute 250.Similarly, object recognition property 225 is divided into important recognition property 255 and non-important recognition property 260, and the object requests attribute is divided into important request attribute 265 and non-important request attribute 270.
In a preferred embodiment of the invention, request attribute is divided into important request attribute and non-important request attribute, and identical classification is forced on the corresponding recognition property.Specifically, forced on the object recognition property 225, forced on the User Recognition attribute 215 for the classification of object requests attribute 230 for the classification of user's request attribute 220.
Classification for user and object requests attribute can be by supvr's regulation of matching system.In this case, when knowing that in advance which attribute is under the important situation, matching system can guarantee that the user that all are important and the data of object recognition property all are imported in the system.If the user has omitted a responsible consumer recognition property, if perhaps the user of input object data has omitted important object recognition property, then system shows a notice, important attribute data has been missed in expression, and not to database input user data or object data, till this important attribute data of missing are provided.
In addition, the user can to force to use about which request attribute be important which request attribute individual classification important to its right and wrong to it.Similarly, can force to use about which request attribute to the user of database input object data is important which request attribute individual classification important to its right and wrong to it.
As shown in Figure 2, in the preferred embodiment that uses two-way coupling, matching system is retrieved its important recognition property 255 complete and corresponding important user's request attribute 245 couplings and the object of important recognition property 235 couplings of its important request attribute 265 complete and corresponding users.Solid arrow among Fig. 2 is represented to mate fully.
The part coupling is applicable to non-important attribute.Specifically, non-important object recognition property 260 quilts partly mate with accordingly non-important user's request attribute 250, and non-important object requests attribute 270 is partly mated with accordingly non-important User Recognition attribute 240.The with dashed lines arrow is represented the part coupling in Fig. 2.
In a preferred embodiment, when carrying out the part coupling, the invention provides matching rate information, be used to the degree of representing that the match is successful.Described matching rate can be the percentage of the attribute of coupling, or according to the mean value of the attribute that mates to the weighting of each attribute appointment.When having the candidate target with several different matching rates for user, the user can determine apace which candidate target is best.
Referring now to Fig. 3,, wherein represents the online object matching system of multilingual concisely according to the preferred embodiments of the present invention operation.Use first language and UAD is input in the system by input filter 310.In the middle of input filter 310 is converted to the UADs from first language and form language independent.For example, input filter 310 can convert UAD to digital form.If being used to import the user interface of data is menu-drive, thereby make it possible to from the menu that may select, select each attribute, then intrinsic in menu directory to the conversion of digital format.If user interface is not a menu-drive, and have only quite a spot of selection (for example eye color), then select to realize conversion to digital format by index for each attribute.
Be transfused to database 320 with the user data of language independent.Search engine 330 is retrieved, so that make objects stored and UAD coupling in database 320.If find suitable coupling, then search engine 330 produces one or several candidate target table.The attribute data of candidate target is retrieved with the form with language independent, and is transmitted by output filter 340.Output filter 340 object data from becoming second language, so that show to the user with the formal transformation of language independent.
First language can be identical with second language, or different language.For example the user can use the French version of Microsoft's Window, and imports its attribute data with French, and it can also use the Italian version of Microsoft's Window and with the candidate target of Italian retrieval and its coupling.In addition, use the different user of the French version of Microsoft's Window also can use English its attribute data of input.
As shown in Figure 3, input filter 310, database 320, search engine 330 and output filter 340 are the parts that are present in the matching system in the service computer 350.Many client computers 360 link to each other with service computer 350 by the internet.Client computer 360 is by using to matching system input user data and the user that retrieves candidate data-object.On the contrary, client computer 360 can be used by the user to matching system input object data.This user also can retrieve the candidate user data.
Remove outside the recognition property, the present invention can also use multi-medium data, image for example, and audio chip or video chip are so that further discern user and object.When the user uses matching system according to the preferred embodiments of the present invention, to remove outside the attribute data of candidate target, system can provide multi-medium data corresponding to each candidate target that finds by mating to it.In a preferred embodiment of the invention, the video file of continuous flow, the video file that for example is the real-time audio form of real-time network company is included in the object database with the objects stored data, and the video file of the continuous flow relevant with special object is downloaded to the user so that watch with the object recognition property as candidate target.
It will be understood by those of skill in the art that the present invention can be in conjunction with " buddy system ", for example the ICQ system of Mirabilis.Within the scope of the invention, when the people of the candidate target of conduct and user coupling simultaneously and user when online, this system can be used for representing this situation to the user.When realizing when having a specific people online, the user can begin and this people's dialogue.Reference about the ICQ system can obtain on the internet, and its network address is: http://www.icq.com..
By above-mentioned explanation, it will be understood by those of skill in the art that the present invention can be used to retrieve the user who is suitable for a special object by the user and use about the desirable object of user search.
Those skilled in the art it is also understood that the present invention can be applied to polytype match service.The example of this service comprises
Appointment service makes user and another person coupling;
The job hunting service, the people's coupling that makes job vacancy and look for a job;
Commerce services is complementary people and product;
Travel service makes people and vacation or journey coupling;
Lawyer's service is a people and full time lawyer coupling;
Those skilled in the art it is also understood that and the invention is not restricted to above-mentioned details.But, the present invention includes the remodeling and the expansion of these features that above-mentioned each combination of features and those skilled in the art can make, these all fall within the scope of the invention.
Claims (50)
1 one kinds of methods that are used for on-line interaction object coupling may further comprise the steps:
Use first language to import user data by means of form page to customer data base, described subscriber database stores user data, described user data comprise User Recognition attribute and user's request attribute;
The searching object database, so that in object database, search the data of at least one candidate target, described object database storage object data, described object data comprises object recognition property and object requests attribute, and at least one candidate target is characterised in that its recognition property mates with corresponding user's request attribute at least in part; And
Use second language to show at least one candidate target by means of form page.
2 the method for claim 1, wherein said form page are the HTML pages or leaves.
3 the method for claim 1, wherein said form page are the XML pages or leaves.
4 the method for claim 1, further comprising the steps of:
User data is converted to form with language independent from first language; And
The data of at least one candidate target from becoming second language with the formal transformation of language independent.
5 methods as claimed in claim 4, the form with language independent in it is a digital form.
6 the method for claim 1, wherein said searching step also is included in the data of searching at least one candidate target in the object database, and described at least one candidate target is characterised in that, the complete and corresponding user's request attribute coupling of its recognition property.
7 methods as claimed in claim 6, wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, complete and the corresponding user's request attribute coupling of its recognition property, and the complete and corresponding User Recognition attributes match of its request attribute.
8 methods as claimed in claim 6, wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, complete and the corresponding user's request attribute of its recognition property coupling, and its request attribute is at least in part and corresponding User Recognition attributes match.
9 methods as claimed in claim 8, wherein the object requests attribute comprises important request attribute and non-important request attribute, and wherein the User Recognition attribute comprises important recognition property and non-important recognition property, and wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, complete and the corresponding user's request attribute coupling of its recognition property, and the important recognition property coupling of the complete and corresponding user of its important request attribute.
10 the method for claim 1, wherein user's request attribute comprises important request attribute and non-important request attribute, and wherein the object recognition property comprises important recognition property and non-important recognition property, and wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that its important recognition property important request attribute complete and corresponding user is mated.
11 the method for claim 1, wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, its recognition property mates with corresponding user's request attribute at least in part, and the complete and corresponding User Recognition attributes match of its request attribute.
12 methods as claimed in claim 11, wherein user's request attribute comprises important request attribute and non-important request attribute, and wherein the object recognition property comprises important recognition property and non-important recognition property, and wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, its important recognition property important request attribute complete and corresponding user is mated, and the complete and corresponding User Recognition attributes match of its request attribute.
13 the method for claim 1, wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, its recognition property at least in part and corresponding user's request attribute coupling, and its request attribute is at least in part and corresponding User Recognition attributes match.
14 methods as claimed in claim 13, wherein user's request attribute comprises important request attribute and non-important request attribute, and wherein the object recognition property comprises important recognition property and non-important recognition property, and wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, complete and the corresponding user's of its important recognition property important request attribute coupling, and its request attribute is at least in part and corresponding User Recognition attributes match.
15 methods as claimed in claim 13, wherein the object requests attribute comprises important request attribute and non-important request attribute, and wherein the User Recognition attribute comprises important recognition property and non-important recognition property, and wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, its recognition property mates with corresponding user's request attribute at least in part, and the important recognition property coupling of the complete and corresponding user of its important request attribute.
16 methods as claimed in claim 13, wherein user's request attribute comprises important request attribute and non-important request attribute, and wherein the object recognition property comprises important recognition property and non-important recognition property, wherein the object requests attribute comprises important request attribute and non-important request attribute, and wherein the object recognition property comprises important recognition property and non-important recognition property, and wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, its important recognition property important request attribute complete and corresponding user is mated, and the important recognition property coupling of the complete and corresponding user of its important request attribute.
17 the method for claim 1 also comprise the ratio that calculates the degree of representing that at least one candidate target recognition property and corresponding user's request attribute are mated at least in part.
18 the method for claim 1, wherein the object data in database comprises voice data, and described step display also comprises the voice data with described at least one candidate target of loudspeaker plays.
19 the method for claim 1, wherein the object data in database comprises view data, and described step display also is included in the view data that shows described at least one candidate target on the video monitor.
20 the method for claim 1, wherein the object data in database comprises video data, and described step display also is included in the video data that shows described at least one candidate target on the video monitor continuously.
21 the method for claim 1, wherein second language is identical with first language.
22 the method for claim 1, wherein second language is different with first language.
23 the method for claim 1, wherein object database and customer data base are same databases.
24 the method for claim 1, wherein object database is different databases with customer data base.
25 the method for claim 1 wherein also comprise the step of which the object current connecting of expression in the middle of at least one candidate target.
26 1 kinds of systems that are used for on-line interaction object coupling may further comprise the steps:
Data capture unit is used to use first language to obtain user data in the customer data base by means of form page, and described subscriber database stores user data, described user data comprise User Recognition attribute and user's request attribute;
The database retrieval engine, be used for the searching object database, so that in object database, search the data of at least one candidate target, described object database storage object data, described object data comprises object recognition property and object requests attribute, and at least one candidate target is characterised in that its recognition property mates with corresponding user's request attribute at least in part; And
Display device is used to use second language to show at least one candidate target by means of form page.
27 systems as claimed in claim 26, wherein said form page is the HTML page or leaf.
28 systems as claimed in claim 26, wherein said form page is the XML page or leaf.
29 systems as claimed in claim 26 also comprise:
Input filter is used for user data is converted to form with language independent from first language; And
Output filter is used for the data of at least one candidate target from becoming second language with the formal transformation of language independent.
30 systems as claimed in claim 29, the form with language independent in it is a digital form.
31 systems as claimed in claim 26, wherein said database retrieval engine is searched the data of at least one candidate target in object database, and described at least one candidate target is characterised in that, the complete and corresponding user's request attribute coupling of its recognition property.
32 systems as claimed in claim 31, wherein said database retrieval engine is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, complete and the corresponding user's request attribute coupling of its recognition property, and the complete and corresponding User Recognition attributes match of its request attribute.
33 systems as claimed in claim 31, wherein said database retrieval engine is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, complete and the corresponding user's request attribute of its recognition property coupling, and its request attribute is at least in part and corresponding User Recognition attributes match.
34 systems as claimed in claim 33, wherein the object requests attribute comprises important request attribute and non-important request attribute, and wherein the User Recognition attribute comprises important recognition property and non-important recognition property, and wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, complete and the corresponding user's request attribute coupling of its recognition property, and the important recognition property coupling of the complete and corresponding user of its important request attribute.
35 systems as claimed in claim 26, wherein user's request attribute comprises important request attribute and non-important request attribute, and wherein the object recognition property comprises important recognition property and non-important recognition property, and wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that its important recognition property important request attribute complete and corresponding user is mated.
36 systems as claimed in claim 26, wherein said database retrieval engine is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, its recognition property mates with corresponding user's request attribute at least in part, and the complete and corresponding User Recognition attributes match of its request attribute.
37 systems as claimed in claim 36, wherein user's request attribute comprises important request attribute and non-important request attribute, and wherein the object recognition property comprises important recognition property and non-important recognition property, and wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, its important recognition property important request attribute complete and corresponding user is mated, and the complete and corresponding User Recognition attributes match of its request attribute.
38 systems as claimed in claim 26, wherein said database retrieval engine is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, its recognition property at least in part and corresponding user's request attribute coupling, and its request attribute is at least in part and corresponding User Recognition attributes match.
39 systems as claimed in claim 38, wherein user's request attribute comprises important request attribute and non-important request attribute, and wherein the object recognition property comprises important recognition property and non-important recognition property, and wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, complete and the corresponding user's of its important recognition property important request attribute coupling, and its request attribute is at least in part and corresponding User Recognition attributes match.
40 systems as claimed in claim 38, wherein the object requests attribute comprises important request attribute and non-important request attribute, and wherein the User Recognition attribute comprises important recognition property and non-important recognition property, and wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, its recognition property mates with corresponding user's request attribute at least in part, and the important recognition property coupling of the complete and corresponding user of its important request attribute.
41 systems as claimed in claim 38, wherein user's request attribute comprises important request attribute and non-important request attribute, and wherein the object recognition property comprises important recognition property and non-important recognition property, wherein the object requests attribute comprises important request attribute and non-important request attribute, and wherein the object recognition property comprises important recognition property and non-important recognition property, and wherein said searching step is searched the data of at least one candidate target in object database, described at least one candidate target is characterised in that, its important recognition property important request attribute complete and corresponding user is mated, and the important recognition property coupling of the complete and corresponding user of its important request attribute.
42 systems as claimed in claim 26 also comprise processor, are used to calculate the ratio of the degree of representing that at least one candidate target recognition property and corresponding user's request attribute are mated at least in part.
43 systems as claimed in claim 26, wherein the object data in database comprises voice data, and described system also comprises audio player, is used to play the voice data of described at least one candidate target.
44 systems as claimed in claim 26, wherein the object data in database comprises view data, and described display device is used to show the view data of described at least one candidate target.
45 systems as claimed in claim 26, wherein the object data in database comprises video data, and described display device shows the video data of described at least one candidate target continuously.
46 systems as claimed in claim 26, wherein second language is identical with first language.
47 systems as claimed in claim 26, wherein second language is different with first language.
48 systems as claimed in claim 26, wherein object database and customer data base are same databases.
49 systems as claimed in claim 26, wherein object database is different databases with customer data base.
50 systems as claimed in claim 26 also comprise user identification unit, are used to the current connecting of which object of representing that at least one candidate target is central.
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| CN101963844A (en) * | 2010-09-26 | 2011-02-02 | 百度在线网络技术（北京）有限公司 | Method and device for inputting form |
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| US7603373B2 (en) | 2003-03-04 | 2009-10-13 | Omniture, Inc. | Assigning value to elements contributing to business success |
| EP1604349A4 (en) * | 2003-03-04 | 2006-12-06 | Omniture Inc | Associating website clicks with links on a web page |
| US7441195B2 (en) | 2003-03-04 | 2008-10-21 | Omniture, Inc. | Associating website clicks with links on a web page |
| US7991732B2 (en) | 2005-06-03 | 2011-08-02 | Adobe Systems Incorporated | Incrementally adding segmentation criteria to a data set |
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| US8578041B2 (en) | 2005-06-03 | 2013-11-05 | Adobe Systems Incorporated | Variable sampling rates for website visitation analysis |
| US8538969B2 (en) | 2005-06-03 | 2013-09-17 | Adobe Systems Incorporated | Data format for website traffic statistics |
| US7761457B2 (en) | 2005-06-06 | 2010-07-20 | Adobe Systems Incorporated | Creation of segmentation definitions |
| US7383334B2 (en) | 2005-10-28 | 2008-06-03 | Omniture, Inc. | Comparison of website visitation data sets generated from using different navigation tools |
| FI20051118L (en) * | 2005-11-04 | 2007-05-05 | Igglo Oy | Method and system for providing an automated search service in the real estate market |
| US7644375B1 (en) | 2006-09-18 | 2010-01-05 | Adobe Systems Incorporated | Dynamic path flow reports |
| CN102567741B (en) * | 2010-12-27 | 2014-07-02 | 汉王科技股份有限公司 | Form matching method and device |
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| US5442782A (en) * | 1993-08-13 | 1995-08-15 | Peoplesoft, Inc. | Providing information from a multilingual database of language-independent and language-dependent items |
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- 2000-03-26 EP EP00912878A patent/EP1080427A1/en not_active Withdrawn
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101894025A (en) * | 2010-07-26 | 2010-11-24 | 沈阳酷洲软件开发有限公司 | Dynamic electronic information internationalizing method |
| CN101963844A (en) * | 2010-09-26 | 2011-02-02 | 百度在线网络技术（北京）有限公司 | Method and device for inputting form |
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| BR0006006A (en) | 2001-03-06 |
| WO2000058866A1 (en) | 2000-10-05 |
| AU3451800A (en) | 2000-10-16 |
| EP1080427A1 (en) | 2001-03-07 |
| JP2002540531A (en) | 2002-11-26 |
| ZA200006830B (en) | 2001-05-15 |
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