CN104951545A - Data processing method and device for output objects - Google Patents

Data processing method and device for output objects Download PDF

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Publication number
CN104951545A
CN104951545A CN201510349469.0A CN201510349469A CN104951545A CN 104951545 A CN104951545 A CN 104951545A CN 201510349469 A CN201510349469 A CN 201510349469A CN 104951545 A CN104951545 A CN 104951545A
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Prior art keywords
object output
output
similarity
characteristic attribute
matrix
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CN201510349469.0A
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CN104951545B (en
Inventor
吴金虎
吴名宇
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Baidu Online Network Technology Beijing Co Ltd
Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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Priority to CN201510349469.0A priority Critical patent/CN104951545B/en
Priority to PCT/CN2015/088391 priority patent/WO2016206188A1/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9038Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques

Abstract

The invention provides a data processing method and device for output objects. According to the embodiment of the method, the characteristic attribute of each output object in at least two output objects is acquired, then an intersection set of every two output objects is obtained according to the characteristic attribute of each output object, a similarity matrix is obtained according to the characteristic attribute of each output object and the intersection set of every two output objects, and therefore each output object can be visually output according to the similarity matrix. Because the bidirectional relationship between every two output objects can be expressed through the similarity matrix obtained according to the characteristic attribute of each output object and the intersection set of every two output objects, the obtained similarity between every two output objects is the real similarity between the two output objects, and accordingly the reliability of visualization of the output objects is improved.

Description

The data processing method of object output and device
[technical field]
The present invention relates to data processing technique, particularly relate to a kind of data processing method and device of object output.
[background technology]
Along with the development of internet, the data volume that the user of different industries faces is increasing, the content finding them to be concerned about from these mass datas and object output, and visual be a very large challenge.Such as, advertiser can by selecting different popularization products, extension service is provided to the public, it needs to know promotes product and other promote relation between product, or promote product and medium property, relation between the ascribed characteristics of population and Regional Property, etc., and need these various dimensions relations to be presented in one as the lower dimensions such as two dimensional surface space spatially.In the process represented, can by the ratio of the common factor of the characteristic attribute of object output between two and this union of the characteristic attribute of object output between two, as the similarity of this object output between two.
But, ratio due to the common factor of the characteristic attribute of object output between two and this union of the characteristic attribute of object output is between two merely able to the unidirectional relationship represented between two between object output, the similarity making obtained object output is between two not the similarity that object output is real between two, thus result in the reduction of the visual reliability of object output.
[summary of the invention]
Many aspects of the present invention provide a kind of data processing method and device of object output, in order to improve the visual reliability of object output.
An aspect of of the present present invention, provides a kind of data processing method of object output, comprising:
Obtain the characteristic attribute of each object output at least two object outputs;
According to the characteristic attribute of described each object output, obtain the common factor of the characteristic attribute of object output between two;
According to the common factor of the characteristic attribute of described each object output and the characteristic attribute of described object output between two, obtain similarity matrix;
According to described similarity matrix, visual output is carried out to described each object output.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, the characteristic attribute of described object output comprises:
The number of search corresponding to keyword belonging to object output.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, the common factor of the characteristic attribute of the described characteristic attribute according to described each object output and described object output between two, obtains similarity matrix, comprising:
According to the common factor of the characteristic attribute of object output between two square with the ratio of this product of characteristic attribute of object output between two, obtain the similarity of this object output between two;
According to the similarity of this object output between two, obtain described similarity matrix.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, described according to described similarity matrix, carries out visual output, comprising described each object output:
SVD process is carried out to described similarity matrix, to obtain split-matrix;
According to described split-matrix, obtain the outgoing position of described each object output;
According to the outgoing position of described each object output, export described each object output.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, described according to described similarity matrix, carries out visual output, comprising described each object output:
According to described similarity matrix, calculate the theoretical of object output between two;
According at least one specific seed pre-set, utilize random function, obtain at least one random site of described each object output;
Be the initial position of this object output with each random site at least one random site of described each object output respectively, according to the theoretical of described object output between two, carry out iterative processing, to obtain the iterative position of described each object output;
According to the iterative position of described each object output, obtain the outgoing position of described each object output;
According to the outgoing position of described each object output, export described each object output.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, described according to described similarity matrix, calculates the distance of object output between two, comprising:
By 1 with the ratio of the similarity of object output between two, as the distance of this object output between two; Or
If the similarity of object output is not 0 between two, by 1 with the Nth power of this ratio of similarity of object output between two, as the distance of this object output between two; If the similarity of object output is 0 between two, by 1 with the Nth power of the ratio of the similarity of minimum object output between two, as the distance of this object output between two; N be greater than 0 and be less than 1 number.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and N is 0.5.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, described according to described similarity matrix, carries out visual output, comprising described each object output:
According to described similarity matrix, on two dimensional surface space or three-dimensional space, visual output is carried out to described each object output.
Another aspect of the present invention, provides a kind of data processing equipment of object output, comprising:
Acquiring unit, for obtaining the characteristic attribute of each object output at least two object outputs;
Analytic unit, for the characteristic attribute according to described each object output, obtains the common factor of the characteristic attribute of object output between two;
Described analytic unit, also for the common factor according to the characteristic attribute of described each object output and the characteristic attribute of described object output between two, obtains similarity matrix;
Output unit, for according to described similarity matrix, carries out visual output to described each object output.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, the characteristic attribute of described object output comprises:
The number of search corresponding to keyword belonging to object output.
Aspect as above and arbitrary possible implementation, provide a kind of implementation, described analytic unit further, specifically for
According to the common factor of the characteristic attribute of object output between two square with the ratio of this product of characteristic attribute of object output between two, obtain the similarity of this object output between two; And
According to the similarity of this object output between two, obtain described similarity matrix.
Aspect as above and arbitrary possible implementation, provide a kind of implementation, described output unit further, specifically for
SVD process is carried out to described similarity matrix, to obtain split-matrix;
According to described split-matrix, obtain the outgoing position of described each object output; And
According to the outgoing position of described each object output, export described each object output.
Aspect as above and arbitrary possible implementation, provide a kind of implementation, described output unit further, specifically for
According to described similarity matrix, calculate the theoretical of object output between two;
According at least one specific seed pre-set, utilize random function, obtain at least one random site of described each object output;
Be the initial position of this object output with each random site at least one random site of described each object output respectively, according to the theoretical of described object output between two, carry out iterative processing, to obtain the iterative position of described each object output;
According to the iterative position of described each object output, obtain the outgoing position of described each object output; And
According to the outgoing position of described each object output, export described each object output.
Aspect as above and arbitrary possible implementation, provide a kind of implementation, described output unit further, specifically for
By 1 with the ratio of the similarity of object output between two, as the distance of this object output between two; Or
If the similarity of object output is not 0 between two, by 1 with the Nth power of this ratio of similarity of object output between two, as the distance of this object output between two; If the similarity of object output is 0 between two, by 1 with the Nth power of the ratio of the similarity of minimum object output between two, as the distance of this object output between two; N be greater than 0 and be less than 1 number.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and N is 0.5.
Aspect as above and arbitrary possible implementation, provide a kind of implementation, described output unit further, specifically for
According to described similarity matrix, on two dimensional surface space or three-dimensional space, visual output is carried out to described each object output.
As shown from the above technical solution, the embodiment of the present invention is by obtaining the characteristic attribute of each object output at least two object outputs, and then according to the characteristic attribute of described each object output, obtain the common factor of the characteristic attribute of object output between two, and according to the common factor of the characteristic attribute of described each object output and the characteristic attribute of described object output between two, obtain similarity matrix, make it possible to according to described similarity matrix, visual output is carried out to described each object output, due to the similarity matrix obtained according to the common factor of the characteristic attribute of each object output and the characteristic attribute of object output between two, the bidirectional relationship between two between object output can be represented, the similarity of obtained object output is between two made to be the similarity that object output is real between two, thus improve the visual reliability of object output.
In addition, adopt technical scheme provided by the present invention, by being the initial position of this object output with each random site at least one random site of each object output respectively, according to the theoretical of described object output between two, carry out successive ignition process, make it possible to obtain optimal result, the visual reliability of object output can be improved further.
In addition, adopt technical scheme provided by the present invention, pre-set specific seed, make the result of each iterative processing in carried out successive ignition process comparatively stable, effectively can improve the visual stability of object output.
In addition, adopt technical scheme provided by the present invention, by improving the computing method of the theoretical of object output between two, the outgoing position interval of exported each object output being reduced to some extent, the visual reliability of object output can be improved further.
In addition, adopt technical scheme provided by the present invention, effectively can improve Consumer's Experience.
[accompanying drawing explanation]
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
The schematic flow sheet of the data processing method of the object output that Fig. 1 provides for one embodiment of the invention;
The structural representation of the data processing equipment of the object output that Fig. 2 provides for another embodiment of the present invention.
[embodiment]
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments whole obtained under creative work prerequisite, belong to the scope of protection of the invention.
It should be noted that, terminal involved in the embodiment of the present invention can include but not limited to mobile phone, personal digital assistant (Personal Digital Assistant, PDA), radio hand-held equipment, panel computer (Tablet Computer), PC (Personal Computer, PC), MP3 player, MP4 player, wearable device (such as, intelligent glasses, intelligent watch, Intelligent bracelet etc.) etc.
In addition, term "and/or" herein, being only a kind of incidence relation describing affiliated partner, can there are three kinds of relations in expression, and such as, A and/or B, can represent: individualism A, exists A and B simultaneously, these three kinds of situations of individualism B.In addition, character "/" herein, general expression forward-backward correlation is to the relation liking a kind of "or".
The schematic flow sheet of the data processing method of the object output that Fig. 1 provides for one embodiment of the invention, as shown in Figure 1.
101, the characteristic attribute of each object output at least two object outputs is obtained.
So-called object output, referring to can the object of visual output, such as, promotes product and other promote relation between product, or popularization product and medium property, relation between the ascribed characteristics of population and Regional Property, etc.
So-called popularization product, refer to the network promotion mode of the information promoting user, can include but not limited to that search is promoted, net alliance's popularization, brand advertising, alliance of Baidu, advertisement house keeper, Baidu's statistics, Baidu Shang Qiao etc., the present embodiment is not particularly limited this.
102, according to the characteristic attribute of described each object output, the common factor of the characteristic attribute of object output is between two obtained.
Wherein, the common factor of the characteristic attribute of object output between two, refers to the characteristic attribute that two object outputs are public.
103, according to the common factor of the characteristic attribute of described each object output and the characteristic attribute of described object output between two, similarity matrix is obtained.
In a concrete implementation procedure, each matrix element comprised in described similarity matrix, can represent the similarity of a pair object output, the matrix element on its principal diagonal, can represent an object output and the similarity of self.Each object output and the similarity of self can be specified in advance, such as, and 0 or 1.
Such as, similarity matrix T can be following form:
T 11 T 12 ... ... T 1 n T 21 T 22 ... ... T 2 n ... ... ... ... ... ... ... ... ... ... T n 1 T n 2 ... ... T n n ; Wherein, T ij(i ≠ j) represents the similarity of a pair object output; T ij(i=j) object output and the similarity of self is represented.
104, according to described similarity matrix, visual output is carried out to described each object output.
It should be noted that, the executive agent of 101 ~ 104 partly or entirely can for being positioned at the application of local terminal, or can also for being arranged on plug-in unit or SDK (Software Development Kit) (the Software Development Kit of the application being arranged in local terminal, the functional unit such as SDK), or can also for being arranged in the processing engine of network side server, or can also for being positioned at the distributed system of network side, the present embodiment is not particularly limited this.
Be understandable that, described application can be mounted in the local program (nativeApp) in terminal, or can also be a web page program (webApp) of browser in terminal, and the present embodiment does not limit this.
Like this, by obtaining the characteristic attribute of each object output at least two object outputs, and then according to the characteristic attribute of described each object output, obtain the common factor of the characteristic attribute of object output between two, and according to the common factor of the characteristic attribute of described each object output and the characteristic attribute of described object output between two, obtain similarity matrix, make it possible to according to described similarity matrix, visual output is carried out to described each object output, due to the similarity matrix obtained according to the common factor of the characteristic attribute of each object output and the characteristic attribute of object output between two, the bidirectional relationship between two between object output can be represented, the similarity of obtained object output is between two made to be the similarity that object output is real between two, thus improve the visual reliability of object output.
Alternatively, in one of the present embodiment possible implementation, the characteristic attribute of described object output can include but not limited to as properties:
The number of search corresponding to keyword belonging to object output.
Alternatively, in one of the present embodiment possible implementation, in 103, specifically can according to the common factor of the characteristic attribute of object output between two square with the ratio of this product of characteristic attribute of object output between two, obtain the similarity of this object output between two, and then, then according to the similarity of this object output between two, described similarity matrix can be obtained.
In this implementation, in fact can be understood as, will, between two the common factor of the characteristic attribute of object output respectively with the ratio of each object output in this between two object output, be multiplied, obtain the similarity of this object output between two.Again by the similarity of object output between two, form described similarity matrix.
The similarity that the common factor of this characteristic attribute according to each object output and the between two characteristic attribute of object output obtains, the bidirectional relationship between two between object output can be represented, like this, the similarity of the object output between two obtained is the similarity that object output is real between two, can symbolize the relation between two between object output more exactly.
Alternatively, in one of the present embodiment possible implementation, in 104, specifically can carry out svd (Singular Value Decomposition to described similarity matrix, SVD) process, to obtain split-matrix, and then, then according to described split-matrix, the outgoing position of described each object output can be obtained.Then, then according to the outgoing position of described each object output, export described each object output.
In a concrete implementation procedure, the detailed description of SVD process see related content of the prior art, can repeat no more herein.
In the implementation procedure that another is concrete, except according to described split-matrix, obtain the outgoing position of described each object output namely with the coordinate figure in the output region of specified coordinate axle definition, outside, can also further according to described split-matrix, obtain the contribution degree of the described specified coordinate axle in this output region, for exporting to user.
Alternatively, in one of the present embodiment possible implementation, in 104, specifically can according to described similarity matrix, calculate the theoretical of object output between two, and then, then can according at least one specific seed pre-set, utilize random function, obtain at least one random site of described each object output.Then, be the initial position of this object output with each random site at least one random site of described each object output respectively, according to the theoretical of described object output between two, carry out iterative processing, to obtain the iterative position of described each object output, and then according to the iterative position of described each object output, obtain the outgoing position of described each object output.Then, then according to the outgoing position of described each object output, export described each object output.
Like this, by being the initial position of this object output with each random site at least one random site of each object output respectively, according to the theoretical of described object output between two, carry out successive ignition process, make it possible to obtain optimal result, the visual reliability of object output can be improved further.
In this implementation, the random site of so-called object output, is not a real random site, and is actually a pseudo-random position.Obtaining this pseudo-random position, the pseudo-random function of institute's foundation, is using a seed random function as starting condition, does not then stop with certain algorithm that iteration produces.Like this, pre-set specific seed, make the result of each iterative processing in carried out successive ignition process comparatively stable, effectively can improve the visual stability of object output.
In a concrete implementation procedure, specifically can by 1 with the ratio of the similarity of object output between two, as the distance of this object output between two.This traditional distance definition mode, the non-constant of precision of the distance obtained, especially when the value difference of the matrix element comprised in a similarity matrix is larger, the outgoing position interval of each object output exported can be very large, like this, the reduction of the visual reliability of object output can be caused.
In the implementation procedure that another is concrete, if can the similarity of object output between two not be specifically 0, by 1 with the Nth power of this ratio of similarity of object output between two, as the distance of this object output between two; If the similarity of object output is 0 between two, by 1 with the Nth power of the ratio of the similarity of minimum object output between two, as the distance of this object output between two; N be greater than 0 and be less than 1 number.The distance definition mode of this improvement, makes the outgoing position interval of exported each object output reduce to some extent, can improve the visual reliability of object output further.
Preferably, N can value be 0.5.
Alternatively, in one of the present embodiment possible implementation, in 104, specifically according to described similarity matrix, on the output regions such as two dimensional surface space or three-dimensional space, visual output can be carried out to described each object output.Like this, by described each object output is carried out visual output on output region, make it possible to clearly determine the relation between each object output.
In the present embodiment, by obtaining the characteristic attribute of each object output at least two object outputs, and then according to the characteristic attribute of described each object output, obtain the common factor of the characteristic attribute of object output between two, and according to the common factor of the characteristic attribute of described each object output and the characteristic attribute of described object output between two, obtain similarity matrix, make it possible to according to described similarity matrix, visual output is carried out to described each object output, due to the similarity matrix obtained according to the common factor of the characteristic attribute of each object output and the characteristic attribute of object output between two, the bidirectional relationship between two between object output can be represented, the similarity of obtained object output is between two made to be the similarity that object output is real between two, thus improve the visual reliability of object output.
In addition, adopt technical scheme provided by the present invention, by being the initial position of this object output with each random site at least one random site of each object output respectively, according to the theoretical of described object output between two, carry out successive ignition process, make it possible to obtain optimal result, the visual reliability of object output can be improved further.
In addition, adopt technical scheme provided by the present invention, pre-set specific seed, make the result of each iterative processing in carried out successive ignition process comparatively stable, effectively can improve the visual stability of object output.
In addition, adopt technical scheme provided by the present invention, by improving the computing method of the theoretical of object output between two, the outgoing position interval of exported each object output being reduced to some extent, the visual reliability of object output can be improved further.
In addition, adopt technical scheme provided by the present invention, effectively can improve Consumer's Experience.
It should be noted that, for aforesaid each embodiment of the method, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and involved action and module might not be that the present invention is necessary.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, in certain embodiment, there is no the part described in detail, can see the associated description of other embodiments.
The structural representation of the data processing equipment of the object output that Fig. 2 provides for another embodiment of the present invention, as shown in Figure 2.The data processing equipment of the object output of the present embodiment can comprise acquiring unit 21, analytic unit 22 and output unit 23.Wherein, acquiring unit 21, for obtaining the characteristic attribute of each object output at least two object outputs; Analytic unit 22, for the characteristic attribute according to described each object output, obtains the common factor of the characteristic attribute of object output between two; Described analytic unit 22, also for the common factor according to the characteristic attribute of described each object output and the characteristic attribute of described object output between two, obtains similarity matrix; Output unit 23, for according to described similarity matrix, carries out visual output to described each object output.
It should be noted that, the executive agent of the data processing equipment of the object output that the present embodiment provides partly or entirely can for being positioned at the application of local terminal, or can also for being arranged on plug-in unit or SDK (Software Development Kit) (the Software Development Kit of the application being arranged in local terminal, the functional unit such as SDK), or can also for being arranged in the processing engine of network side server, or can also for being positioned at the distributed system of network side, the present embodiment is not particularly limited this.
Be understandable that, described application can be mounted in the local program (nativeApp) in terminal, or can also be a web page program (webApp) of browser in terminal, and the present embodiment does not limit this.
Alternatively, in one of the present embodiment possible implementation, the characteristic attribute of described object output can include but not limited to as properties:
The number of search corresponding to keyword belonging to object output.
Alternatively, in one of the present embodiment possible implementation, described analytic unit 22, specifically may be used for according to the common factor of the characteristic attribute of object output between two square with the ratio of this product of characteristic attribute of object output between two, obtain the similarity of this object output between two; And according to the similarity of this object output between two, obtain described similarity matrix.
Alternatively, in one of the present embodiment possible implementation, described output unit 23, specifically may be used for carrying out SVD process to described similarity matrix, to obtain split-matrix; According to described split-matrix, obtain the outgoing position of described each object output; And according to the outgoing position of described each object output, export described each object output.
Alternatively, in one of the present embodiment possible implementation, described output unit 23, specifically may be used for, according to described similarity matrix, calculating the theoretical of object output between two; According at least one specific seed pre-set, utilize random function, obtain at least one random site of described each object output; Be the initial position of this object output with each random site at least one random site of described each object output respectively, according to the theoretical of described object output between two, carry out iterative processing, to obtain the iterative position of described each object output; According to the iterative position of described each object output, obtain the outgoing position of described each object output; And according to the outgoing position of described each object output, export described each object output.
In a concrete implementation procedure, described output unit 23, specifically may be used for by 1 with the ratio of the similarity of object output between two, as the distance of this object output between two.
In the implementation procedure that another is concrete, described output unit 23, if the similarity that specifically may be used for object output is not between two 0, by 1 with the Nth power of this ratio of similarity of object output between two, as the distance of this object output between two; If the similarity of object output is 0 between two, by 1 with the Nth power of the ratio of the similarity of minimum object output between two, as the distance of this object output between two; N be greater than 0 and be less than 1 number.
Preferably, N can value be 0.5.
Alternatively, in one of the present embodiment possible implementation, described output unit 23, specifically may be used for according to described similarity matrix, on two dimensional surface space or three-dimensional space, carries out visual output to described each object output.
It should be noted that, method in the embodiment that Fig. 1 is corresponding, the data processing equipment of the object output that can be provided by the present embodiment realizes.Detailed description see the related content in embodiment corresponding to Fig. 1, can repeat no more herein.
In the present embodiment, the characteristic attribute of each object output at least two object outputs is obtained by acquiring unit, and then by the characteristic attribute of analytic unit according to described each object output, obtain the common factor of the characteristic attribute of object output between two, and according to the common factor of the characteristic attribute of described each object output and the characteristic attribute of described object output between two, obtain similarity matrix, make output unit can according to described similarity matrix, visual output is carried out to described each object output, due to the similarity matrix obtained according to the common factor of the characteristic attribute of each object output and the characteristic attribute of object output between two, the bidirectional relationship between two between object output can be represented, the similarity of obtained object output is between two made to be the similarity that object output is real between two, thus improve the visual reliability of object output.
In addition, adopt technical scheme provided by the present invention, by being the initial position of this object output with each random site at least one random site of each object output respectively, according to the theoretical of described object output between two, carry out successive ignition process, make it possible to obtain optimal result, the visual reliability of object output can be improved further.
In addition, adopt technical scheme provided by the present invention, pre-set specific seed, make the result of each iterative processing in carried out successive ignition process comparatively stable, effectively can improve the visual stability of object output.
In addition, adopt technical scheme provided by the present invention, by improving the computing method of the theoretical of object output between two, the outgoing position interval of exported each object output being reduced to some extent, the visual reliability of object output can be improved further.
In addition, adopt technical scheme provided by the present invention, effectively can improve Consumer's Experience.
Those skilled in the art can be well understood to, and for convenience and simplicity of description, the system of foregoing description, the specific works process of device and unit, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
In several embodiment provided by the present invention, should be understood that, disclosed system, apparatus and method, can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of device or unit or communication connection can be electrical, machinery or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form that hardware also can be adopted to add SFU software functional unit realizes.
The above-mentioned integrated unit realized with the form of SFU software functional unit, can be stored in a computer read/write memory medium.Above-mentioned SFU software functional unit is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) or processor (processor) perform the part steps of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, ROM (read-only memory) (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. various can be program code stored medium.
Last it is noted that above embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit; Although with reference to previous embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.

Claims (16)

1. a data processing method for object output, is characterized in that, comprising:
Obtain the characteristic attribute of each object output at least two object outputs;
According to the characteristic attribute of described each object output, obtain the common factor of the characteristic attribute of object output between two;
According to the common factor of the characteristic attribute of described each object output and the characteristic attribute of described object output between two, obtain similarity matrix;
According to described similarity matrix, visual output is carried out to described each object output.
2. method according to claim 1, is characterized in that, the characteristic attribute of described object output comprises:
The number of search corresponding to keyword belonging to object output.
3. method according to claim 1, is characterized in that, the common factor of the characteristic attribute of the described characteristic attribute according to described each object output and described object output between two, obtains similarity matrix, comprising:
According to the common factor of the characteristic attribute of object output between two square with the ratio of this product of characteristic attribute of object output between two, obtain the similarity of this object output between two;
According to the similarity of this object output between two, obtain described similarity matrix.
4. method according to claim 1, is characterized in that, described according to described similarity matrix, carries out visual output, comprising described each object output:
SVD process is carried out to described similarity matrix, to obtain split-matrix;
According to described split-matrix, obtain the outgoing position of described each object output;
According to the outgoing position of described each object output, export described each object output.
5. method according to claim 1, is characterized in that, described according to described similarity matrix, carries out visual output, comprising described each object output:
According to described similarity matrix, calculate the theoretical of object output between two;
According at least one specific seed pre-set, utilize random function, obtain at least one random site of described each object output;
Be the initial position of this object output with each random site at least one random site of described each object output respectively, according to the theoretical of described object output between two, carry out iterative processing, to obtain the iterative position of described each object output;
According to the iterative position of described each object output, obtain the outgoing position of described each object output;
According to the outgoing position of described each object output, export described each object output.
6. method according to claim 5, is characterized in that, described according to described similarity matrix, calculates the distance of object output between two, comprising:
By 1 with the ratio of the similarity of object output between two, as the distance of this object output between two; Or
If the similarity of object output is not 0 between two, by 1 with the Nth power of this ratio of similarity of object output between two, as the distance of this object output between two; If the similarity of object output is 0 between two, by 1 with the Nth power of the ratio of the similarity of minimum object output between two, as the distance of this object output between two; N be greater than 0 and be less than 1 number.
7. method according to claim 6, is characterized in that, N is 0.5.
8. the method according to the arbitrary claim of claim 1 ~ 7, is characterized in that, described according to described similarity matrix, carries out visual output, comprising described each object output:
According to described similarity matrix, on two dimensional surface space or three-dimensional space, visual output is carried out to described each object output.
9. a data processing equipment for object output, is characterized in that, comprising:
Acquiring unit, for obtaining the characteristic attribute of each object output at least two object outputs;
Analytic unit, for the characteristic attribute according to described each object output, obtains the common factor of the characteristic attribute of object output between two;
Described analytic unit, also for the common factor according to the characteristic attribute of described each object output and the characteristic attribute of described object output between two, obtains similarity matrix;
Output unit, for according to described similarity matrix, carries out visual output to described each object output.
10. device according to claim 9, is characterized in that, the characteristic attribute of described object output comprises:
The number of search corresponding to keyword belonging to object output.
11. devices according to claim 9, is characterized in that, described analytic unit, specifically for
According to the common factor of the characteristic attribute of object output between two square with the ratio of this product of characteristic attribute of object output between two, obtain the similarity of this object output between two; And
According to the similarity of this object output between two, obtain described similarity matrix.
12. devices according to claim 9, is characterized in that, described output unit, specifically for
SVD process is carried out to described similarity matrix, to obtain split-matrix;
According to described split-matrix, obtain the outgoing position of described each object output; And
According to the outgoing position of described each object output, export described each object output.
13. devices according to claim 9, is characterized in that, described output unit, specifically for
According to described similarity matrix, calculate the theoretical of object output between two;
According at least one specific seed pre-set, utilize random function, obtain at least one random site of described each object output;
Be the initial position of this object output with each random site at least one random site of described each object output respectively, according to the theoretical of described object output between two, carry out iterative processing, to obtain the iterative position of described each object output;
According to the iterative position of described each object output, obtain the outgoing position of described each object output; And
According to the outgoing position of described each object output, export described each object output.
14. devices according to claim 13, is characterized in that, described output unit, specifically for
By 1 with the ratio of the similarity of object output between two, as the distance of this object output between two; Or
If the similarity of object output is not 0 between two, by 1 with the Nth power of this ratio of similarity of object output between two, as the distance of this object output between two; If the similarity of object output is 0 between two, by 1 with the Nth power of the ratio of the similarity of minimum object output between two, as the distance of this object output between two; N be greater than 0 and be less than 1 number.
15. devices according to claim 14, is characterized in that, N is 0.5.
16. devices according to the arbitrary claim of claim 9 ~ 15, is characterized in that, described output unit, specifically for
According to described similarity matrix, on two dimensional surface space or three-dimensional space, visual output is carried out to described each object output.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109299186A (en) * 2018-11-05 2019-02-01 北京锐安科技有限公司 Data processing method, device, equipment and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102708180A (en) * 2012-05-09 2012-10-03 北京华电天仁电力控制技术有限公司 Data mining method in unit operation mode based on real-time historical library
CN103500208A (en) * 2013-09-30 2014-01-08 中国科学院自动化研究所 Deep layer data processing method and system combined with knowledge base
CN104318340A (en) * 2014-09-25 2015-01-28 中国科学院软件研究所 Information visualization method and intelligent visual analysis system based on text curriculum vitae information

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5144123B2 (en) * 2007-05-16 2013-02-13 キヤノン株式会社 Information processing method and information processing apparatus
CN103246685B (en) * 2012-02-14 2016-12-14 株式会社理光 The method and apparatus that the attribution rule of object instance is turned to feature
CN102902821B (en) * 2012-11-01 2015-08-12 北京邮电大学 The image high-level semantics mark of much-talked-about topic Network Based, search method and device
CN104572825B (en) * 2014-12-04 2019-03-12 百度在线网络技术(北京)有限公司 The recommended method and device of information

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102708180A (en) * 2012-05-09 2012-10-03 北京华电天仁电力控制技术有限公司 Data mining method in unit operation mode based on real-time historical library
CN103500208A (en) * 2013-09-30 2014-01-08 中国科学院自动化研究所 Deep layer data processing method and system combined with knowledge base
CN104318340A (en) * 2014-09-25 2015-01-28 中国科学院软件研究所 Information visualization method and intelligent visual analysis system based on text curriculum vitae information

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
杜晖: "基于耦合关系的学术信息资源深度聚合研究", 《中国博士学位论文全文数据库信息科技辑》 *
郭建永: "聚类分析在文本挖掘中的应用与研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109299186A (en) * 2018-11-05 2019-02-01 北京锐安科技有限公司 Data processing method, device, equipment and storage medium

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