CN105335363B - A kind of Object Push method and system - Google Patents

A kind of Object Push method and system Download PDF

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CN105335363B
CN105335363B CN201410231465.8A CN201410231465A CN105335363B CN 105335363 B CN105335363 B CN 105335363B CN 201410231465 A CN201410231465 A CN 201410231465A CN 105335363 B CN105335363 B CN 105335363B
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candidate target
weighted value
candidate
target
value
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CN105335363A (en
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李震国
范伟
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Abstract

The embodiment of the invention provides a kind of Object Push method and system, this method comprises: obtain candidate target, the candidate target include client input object, according to the client input object retrieved after obtain matching object or according to the client click historical record obtain recommended;The weight absorptivity of the candidate target is obtained, the weight absorptivity of the candidate target is that the number for other candidate targets being directly linked with the candidate target is in the parameter value of inversely prroportional relationship;Wherein, other candidate targets being directly linked with the candidate target are other candidate targets for being greater than preset dependent thresholds with the degree of correlation of the candidate target;According to the weight absorptivity of the candidate target, the first weighted value of the candidate target is obtained;According to first weighted value and the candidate target, target object to be pushed is obtained.Technical solution provided in an embodiment of the present invention may be implemented to improve the accuracy and recall precision of information retrieval.

Description

A kind of Object Push method and system
[technical field]
The present invention relates to technical field of information retrieval more particularly to a kind of Object Push method and system.
[background technique]
PageRank algorithm is the proprietary algorithm of Google, for measuring particular webpage relative in search engine index Then the significance level of other webpages is ranked up webpage according to the significance level of webpage.Personalized PageRank, can When calculating the weighted value of webpage, it is contemplated that specific user, or the weighted value of other webpages is assessed for a webpage, It thus can satisfy the demand of many practical applications.
However, PageRank algorithm is applied in search engine retrieving webpage, same category of webpage is had the disadvantage that The weighted value of itself can be passed to the webpages of other classifications, be equivalent to search engine by a variety of different classes of webpages into Row retrieval, therefore the accuracy of search result is lower and recall precision is lower.
[summary of the invention]
In view of this, may be implemented to improve information inspection the embodiment of the invention provides a kind of Object Push method and system The accuracy and recall precision of rope.
In a first aspect, the embodiment of the invention provides a kind of Object Push methods, comprising:
Candidate target is obtained, the candidate target includes the input object of client, according to the input pair of the client As the matching object obtained after being retrieved or according to the recommended of the client clicking historical record and obtaining;
The weight absorptivity of the candidate target is obtained, the weight absorptivity of the candidate target is and the candidate target The number for other candidate targets being directly linked is in the parameter value of inversely prroportional relationship;Wherein, it is directly linked with the candidate target Other candidate targets be other candidate targets for being greater than preset dependent thresholds with the degree of correlation of the candidate target;
According to the weight absorptivity of the candidate target, the first weighted value of the candidate target is obtained;
According to first weighted value and the candidate target, target object to be pushed is obtained.
In the first possible implementation of the first aspect, the weight absorptivity according to the candidate target, Obtain the first weighted value of the candidate target, comprising:
Second weighted value of the candidate target is compared with preset screening threshold value;Second weighted value be with Other candidate targets that the candidate target is directly linked pass to the weighted value of the candidate target;
If the second weighted value of the candidate target is greater than the screening threshold value, the weight according to the candidate target absorbs Rate obtains the first weighted value of the candidate target;
If the second weighted value of the candidate target is less than or equal to the screening threshold value, the candidate target is not to pass Other candidate targets of connection transmit third weighted value, and the third weighted value is equal to the second weighted value and the institute of the candidate target The difference for stating the second weighted value of candidate target absorption, so that the third weighted value of the candidate target is right in associated candidate Stop transmitting as between.
With reference to first aspect or the first possible implementation of first aspect, second in first aspect are possible In implementation, the weight absorptivity according to the candidate target obtains the first weighted value of the candidate target, packet It includes:
According to the number for other candidate targets being directly linked with the candidate target, and following formula is utilized, obtains institute State the first weighted value of candidate target:
Wherein, the first weighted value of the S (i) ' expression candidate target i;The S (i) indicates the institute being obtained ahead of time State the basic weighted value of candidate target i;The α indicates preset parameter value;It is describedIndicate the weight absorptivity, institute Stating r (i) indicates the second weighted value of the candidate target i, and second weighted value is directly linked with the candidate target i Other candidate targets pass to the weighted value of the candidate target i;It is describedIndicate what the candidate target i absorbed Second weighted value;The d (i) indicates the number for other candidate targets that the candidate target i is directly linked.
With reference to first aspect or second of the first possible implementation of first aspect or first aspect possible Implementation, it is in a third possible implementation of the first aspect, described according to first weighted value and the candidate Object obtains target object to be pushed, comprising: is compared first weighted value with preset weight threshold, by institute The first weighted value is stated greater than the candidate target of the weight threshold as the target object to be pushed.
With reference to first aspect or the first or second or the third possible implementation of first aspect, in first party In the 4th kind of possible implementation in face, the method also includes:
According to the sequence that first weighted value is descending, the target object is ranked up, to obtain sequence knot Fruit;
Push the ranking results.
Second aspect, the embodiment of the invention provides a kind of Object Push systems, comprising:
Object acquisition unit, for obtaining candidate target, the candidate target includes the input object of client, according to institute State client input object retrieved after the matching object that obtains or the click historical record according to the client obtain The recommended obtained;
First processing units, for obtaining the weight absorptivity of the candidate target, the weight of the candidate target absorbs Rate is that the number for other candidate targets being directly linked with the candidate target is in the parameter value of inversely prroportional relationship;Wherein, with institute Other candidate targets for stating candidate target direct correlation are to be greater than preset dependent thresholds with the degree of correlation of the candidate target Other candidate targets;
The second processing unit obtains the first of the candidate target for the weight absorptivity according to the candidate target Weighted value;
Object screening unit, for obtaining target pair to be pushed according to first weighted value and the candidate target As.
In the first possible implementation of the second aspect, described the second processing unit is specifically used for:
Second weighted value of the candidate target is compared with preset screening threshold value;Second weighted value be with Other candidate targets that the candidate target is directly linked pass to the weighted value of the candidate target;
If the second weighted value of the candidate target is greater than the screening threshold value, the weight according to the candidate target absorbs Rate obtains the first weighted value of the candidate target;
If the second weighted value of the candidate target is less than or equal to the screening threshold value, the candidate target is not to pass Other candidate targets of connection transmit third weighted value, and the third weighted value is equal to the second weighted value and the institute of the candidate target The difference for stating the second weighted value of candidate target absorption, so that the third weighted value of the candidate target is right in associated candidate Stop transmitting as between.
In conjunction with the possible implementation of the first of second aspect or second aspect, second in second aspect is possible In implementation, described the second processing unit is specifically used for:
According to the number for other candidate targets that the candidate target is directly linked, and following formula is utilized, described in acquisition First weighted value of candidate target:
Wherein, the first weighted value of the S (i) ' expression candidate target i;The S (i) indicates the institute being obtained ahead of time State the basic weighted value of candidate target i;The α indicates preset parameter value;It is describedIndicate the weight absorptivity, institute Stating r (i) indicates the second weighted value of the candidate target i, and second weighted value is directly linked with the candidate target i Other candidate targets pass to the weighted value of the candidate target i;It is describedIndicate what the candidate target i absorbed Second weighted value;The d (i) indicates the number for other candidate targets that the candidate target i is directly linked.
Second in conjunction with the possible implementation of the first of second aspect or second aspect or second aspect is possible Implementation, in the third possible implementation of the second aspect, the object screening unit are specifically used for: by described One weighted value is compared with preset weight threshold, and the candidate that first weighted value is greater than the weight threshold is right As the target object.
In conjunction with the first or second or the third possible implementation of second aspect or second aspect, in second party In the 4th kind of possible implementation in face, the system also includes: object output unit, for according to first weighted value Descending sequence is ranked up the target object, to obtain ranking results;Push the ranking results.
As can be seen from the above technical solutions, the embodiment of the present invention has the advantages that
In the embodiment of the present invention, other candidates that weight absorptivity and the candidate target of candidate target are directly linked are right The number of elephant is in inversely prroportional relationship, therefore, other candidate targets that the candidate target according to edge in incidence relation is directly linked The lesser principle of number, the weight absorptivity of the candidate target at edge is larger, therefore can guarantee weight to a certain extent It is worth when reaching the edge candidate target of certain classification, less weighted value is only passed to the candidate target of other classifications, it can Guarantee that weighted value transmits between same category of different candidate targets, in this way, even if the candidate target of certain classification is to other classes Weighted value is not delivered, the candidate target of other classifications is as the weighted value obtained is smaller, without by as wait push Target object, so as to guarantee to be retrieved inside the generic of input object to a certain extent, with obtain to The target object of push, and then the cluster of information retrieval may be implemented, it can be improved the accuracy and retrieval effect of search result Rate.
[Detailed description of the invention]
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached Figure is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this field For those of ordinary skill, without any creative labor, it can also be obtained according to these attached drawings other attached Figure.
Fig. 1 is the flow diagram of Object Push method provided by the embodiment of the present invention;
Fig. 2 (a)~Fig. 2 (c) is to belong to the distribution of the weighted value of same category of candidate target in the embodiment of the present invention to show It is intended to;
Fig. 3 is the distribution schematic diagram of candidate target provided by the embodiment of the present invention;
Fig. 4 is the transfer probability schematic diagram of weight between candidate target provided by the embodiment of the present invention;
Fig. 5 is the distribution schematic diagram of the search result of the prior art;
Fig. 6 is the distribution schematic diagram of search result provided by the embodiment of the present invention;
Fig. 7 (a)~Fig. 7 (d) is the first schematic diagram of image retrieval provided by the embodiment of the present invention;
Fig. 8 (a)~Fig. 8 (c) is the second schematic diagram of image retrieval provided by the embodiment of the present invention;
Fig. 9 (a)~Fig. 9 (c) is the second schematic diagram of image retrieval provided by the embodiment of the present invention;
Figure 10 (a)~Figure 10 (d) is that search result is shown under difference weighted average density provided by the embodiment of the present invention It is intended to;
Figure 11 is the functional block diagram of Object Push system provided by the embodiment of the present invention;
Figure 12 is the structural schematic diagram of Object Push system provided by the embodiment of the present invention.
[specific embodiment]
For a better understanding of the technical solution of the present invention, being retouched in detail to the embodiment of the present invention with reference to the accompanying drawing It states.
It will be appreciated that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts it is all its Its embodiment, shall fall within the protection scope of the present invention.
It is retrieved in mass data (such as webpage and picture), during obtaining and pushing search result, database In data volume it is often bigger, but only sub-fraction data in mass data relevant to retrieval, for example, with one Other relevant webpages of webpage are the sub-fraction of entire internet data, so if can only consider in the process of retrieval Sub-fraction data in mass data will greatly improve the efficiency of retrieval and pushed information.
The embodiment of the present invention provides a kind of Object Push method, referring to FIG. 1, it is right provided by the embodiment of the present invention As the flow diagram of method for pushing, as shown, method includes the following steps:
Step 101, candidate target is obtained, the candidate target includes the input object of client, according to the client Input object retrieved after obtain matching object or according to the client click historical record obtain recommendation Object.
Specifically, client obtains candidate target, the candidate target includes the input object of client, according to the visitor The matching object or click what historical record obtained according to the client that the input object at family end obtains after being retrieved Recommended.
Preferably, the client may include browser, application program or image retrieval program etc..
Preferably, the input object of the client includes the keyword inputted in the client or the client The pixel of upper input.
Preferably, it can be retrieved in the database according to the input object, to obtain of the input object With object.The matching object may include webpage, application message, Item Information or pixel.Wherein, the matching object Other objects including other objects being directly linked with the input object or with the input object indirect association;With institute Other objects for stating input object direct correlation are other for being greater than preset dependent thresholds with the degree of correlation of the input object Object, other objects with the input object indirect association are other objects by being directly linked with the input object, With the associated object of the input object.For example, input object A, matching object B and matching object C, wherein input object A with It matches object B to be directly linked, matching object B is directly linked with object C is matched, then matches object C and input object A and close indirectly Connection.
Preferably, the recommended includes Item Information or application message.
For example, firstly, from the historical record of browser, obtaining in a period of time recently and using in nearest a period of time The webpage that family is clicked in a browser;Then the number of clicks of each webpage is counted, and according to descending suitable of number of clicks Sequence, the webpage clicked to user are ranked up;Finally, by least one webpage in the top in ranking results, it is clear as this The corresponding recommended of device of looking at.The incidence relation between webpage and webpage is preserved in database, such as webpage A is directed toward webpage B, It then according to the corresponding webpage of browser, is retrieved in the database, the webpage being directly linked with the webpage can be obtained, in turn Webpage associated by the webpage with the direct correlation is obtained, the direct correlation net of webpage corresponding with browser may finally be obtained Page and indirect association webpage.
For example, user has been when mobile terminal has just opened the clients such as Taobao, Amazon, can be pushed to user pair Image information such as recommends certain article, then can determine that nearest a period of time of user is bought according to the corresponding historical record of client Article;Then the number of clicks of each article is counted, and is sorted according to the descending sequence of number of clicks, user is clicked Article be ranked up;Finally, by least one article in the top in ranking results, as the corresponding recommendation of the client Object.Incidence relation between article and article is preserved in database, if article A and article B are bought simultaneously, article A and object Product B attribute is similar/mutually same, then according to the corresponding Item Information of client, is retrieved in the database, can obtain and be somebody's turn to do The article that article is directly linked, so obtain with article associated by the article of the direct correlation, may finally obtain and client Hold the direct correlation article and indirect association article of corresponding article.
It should be noted that the mode of above-mentioned acquisition candidate target, can obtain several input objects, input object is improved Diversified degree, realize input distribution, guarantee the diversity of search result.
Step 102, obtain the weight absorptivity of the candidate target, the weight absorptivity of the candidate target be with it is described The number for other candidate targets that candidate target is directly linked is in the parameter value of inversely prroportional relationship;Wherein, with the candidate target Other candidate targets being directly linked are right greater than other candidates of preset dependent thresholds with the degree of correlation of the candidate target As.
Specifically, in the embodiment of the present invention, it is also necessary to be calculated for each candidate target at least one candidate target One corresponding first weighted value, and before calculating the first weighted value, need first to determine the weight absorptivity of each candidate target.
Wherein, the weight absorptivity of the candidate target refers to that other candidates being directly linked with the candidate target are right The number of elephant is in the parameter value of inversely prroportional relationship.
Preferably, it can use following formula and obtain weight absorptivity:
In the formula, the α indicates preset parameter value;The d (i) indicates and candidate target i direct correlation The number of other candidate targets;It can be seen that other candidate targets being directly linked with the candidate target according to the formula The value of number d (i) is bigger, and the value of weight absorptivity is smaller, the number for other candidate targets being directly linked with the candidate target The value of mesh d (i) is smaller, and the value of weight absorptivity is bigger, therefore, the weight absorptivity of the candidate target and the candidate target The number for other candidate targets being directly linked is in inversely prroportional relationship.
Fig. 2 (a) is please referred to, the distribution of the weighted value to belong to same category of candidate target in the embodiment of the present invention is shown It is intended to, as shown in Fig. 2 (a), a candidate target can be associated with other candidate targets, will form Fig. 2 (a) between candidate target Shown in association structure, in the embodiment of the present invention, the weight absorptivity of the candidate target and the candidate target are directly linked Other candidate targets number be in inversely prroportional relationship, as shown in Fig. 2 (a), candidate target 1 direct correlation other candidate targets Number be 3, i.e., candidate target 2, candidate target 3 and candidate target 4 respectively with candidate target 1 be directly linked;Similarly, candidate right The number for other candidate targets being directly linked as 2 is 2, i.e., candidate target 5 and candidate target 6 are direct with candidate target 2 respectively Association.Wherein, the association structure may include the incidence relation between the candidate target i and other candidate targets;It is preferred that , which can show as reticular structure or tree etc., and details are not described herein.
Referring to FIG. 3, its distribution schematic diagram for candidate target provided by the embodiment of the present invention, as shown, for For candidate target, the number for other candidate targets that the candidate target closer to association structure center is directly linked is bigger, more The number for other candidate targets that candidate target close to association structure edge is directly linked is smaller.
Step 103, according to the weight absorptivity of the candidate target, the first weighted value of the candidate target is obtained.
Specifically, each candidate target can have the weighted value of an input, referred to as the second weighted value, second weight Value is the weighted value that other candidate targets being directly linked with the candidate target pass to the candidate target;Such as Fig. 2 (a) institute Show, input object, if the second weighted value of both candidate nodes 1 can be pre-assigned, and affiliated partner, such as candidate target 2 is waited The second weighted value of object 3 etc. is selected to can be the weighted value for passing to oneself with itself other associated candidate target, Mei Gehou The second weighted value of part can be absorbed by selecting object all, and then candidate target passes to remaining second weighted value with itself directly Other associated candidate targets, other candidate targets reabsorb the second weighted value that part passes to itself, then by remaining Second weighted value passes to other candidate targets being directly linked with itself again, and so on;That is, for each candidate Object can receive second weighted value, then obtain the first weighted value of candidate target, will finally remove in the second weighted value Part other than first weighted value passes to other candidate targets of direct correlation.
As shown in Fig. 2 (a)~Fig. 2 (c), if the second weighted value to be regarded as to the input flow rate of candidate target, this is defeated Inbound traffics will be flowed along the incidence relation between candidate target, and as shown in Fig. 2 (a), candidate target 1 has input flow rate, such as be filled out The circle for filling shade, as shown in Fig. 2 (b), candidate target 1 absorbs the input flow rate of part, then by the input of rest part Flow passes to candidate target 2, candidate target 3 and the candidate target 4 being directly linked with itself, candidate right as shown in Fig. 2 (c) Then it is right to be passed to the candidate being directly linked with itself by the input flow rate for absorbing part acquisition as 2 again for remaining input flow rate As 5 and candidate target 6, the operation of candidate target 3 and candidate target 4 is similar with candidate target 2, and which is not described herein again.
In the embodiment of the present invention, whenever there is candidate target to obtain the second weighted value, just by the second weighted value of candidate target It is compared with preset screening threshold value;If the second weighted value of the candidate target is greater than the screening threshold value, according to described in The weight absorptivity of candidate target obtains the first weighted value of the candidate target;If the second weighted value of the candidate target Less than or equal to the screening threshold value, the candidate target does not transmit third weighted value, institute to other associated candidate targets Difference of the third weighted value equal to the second weighted value that the second weighted value of the candidate target and the candidate target absorb is stated, So that the third weighted value of the candidate target stops transmitting between associated candidate target, that is to say, that input flow rate It will stop transmitting between associated candidate target.Here, threshold value is screened by setting, weighted value can be prevented in association structure In unlimitedly transmit, so as to reduce the calculation amount of weighted value, for example, the screening threshold value can be 0.001.In addition, If including that at least two candidate targets can calculate time when calculating the first weighted value of candidate target simultaneously in object set The first weighted value of object is selected, the first weighted value of candidate target can also be successively calculated.
In the embodiment of the present invention, the second weighted value of the affiliated partner in candidate target is directly linked with affiliated partner Other candidate targets pass to the affiliated partner, and the second weighted value of the input object in candidate target is to allocate in advance 's.It since the second weighted value of input object is pre-assigned is then each input if there is at least two input objects The method that object distributes the second weighted value can be mean allocation, i.e., the second weighted value of each input object is identical, can also be with Ranking according to input object distributes the second weighted value, and the second weighted value of input object in the top is larger, ranks behind Input object the second weighted value it is smaller, without specifically limiting in the embodiment of the present invention.
Preferably, according to the weight absorptivity of the candidate target, the side of the first weighted value of the candidate target is obtained Method may include:
According to the number for other candidate targets being directly linked with the candidate target, and following formula (1) is utilized, obtained First weighted value of the candidate target:
Wherein, the first weighted value of the S (i) ' expression candidate target i;The S (i) indicates the institute being obtained ahead of time State the basic weighted value of candidate target i;The α indicates preset parameter value;It is describedIndicate the weight absorptivity, institute Stating r (i) indicates the second weighted value of the candidate target i, and second weighted value is directly linked with the candidate target i Other candidate targets pass to the weighted value of the candidate target i,Indicate the candidate target i absorbs second Weighted value;The d (i) indicates the number with the candidate target i other candidate targets being directly linked.Wherein, it is obtained ahead of time The basic weighted value S (i) of the candidate target i can be understood as candidate target i before obtaining the second weighted value r (i) The weighted value of itself, in this way, needing to carry out more itself current basic weighted value S (i) after obtaining the second weighted value Newly, to obtain S (i) '.
It is understood that other candidates that the weight absorptivity of the candidate target and the candidate target are directly linked The number of object is in inversely prroportional relationship, it may be assumed that the second weighted value is considered as an entirety, the candidate target i be directly linked its The numerical value of the number d (i) of his candidate target is bigger, and the weight absorptivity of candidate target i is smaller, thus what candidate target i absorbed Second weighted value is just smaller, and remaining the second weighted value not absorbed by candidate target i is bigger, is left not by candidate target The second weighted value that i absorbs will be passed to other candidate targets of direct correlation by candidate target i, therefore candidate target i is transmitted It is bigger to the second weighted value of other candidate targets of direct correlation;Similarly, other times that the candidate target i is directly linked Select the numerical value of the number d (i) of object smaller, the weight absorptivity of candidate target i is bigger, thus the second of candidate target i absorption Weighted value is bigger, and remaining the second weighted value not absorbed by candidate target i is just smaller, remaining not inhaled by candidate target i The second weighted value received will be passed to other candidate targets of direct correlation by candidate target i, therefore candidate target i is passed to directly The second weighted value of other associated candidate targets is connect with regard to smaller.As shown in figure 3, for candidate target, closer to association The weight absorptivity of the candidate target of structure centreSmaller, the weight closer to the candidate target at association structure edge is inhaled YieldIt is bigger, thus it is guaranteed that waiting during the extrorse candidate target of candidate target at association structure center Select the weight absorptivity of object i increasing, the second weighted value of residue of the candidate target transmitting at edge can be fewer, and belongs to Same category of candidate target forms an association structure, thereby may be ensured that weighted value is retained in each of current class as far as possible In candidate target, once weighted value reaches the candidate target at association structure edge, as the weight of the candidate target at edge Absorptivity is larger, keeps the weighted value for the candidate target for being transmitted to other classifications very small, therefore, ensure that power to a certain extent Weight values can be retained on the candidate target of current class, can greatly reduce the classification of retrieval, improve the accurate of search result Degree and recall precision.
Referring to FIG. 4, the transfer probability schematic diagram of its weight between candidate target provided by the embodiment of the present invention, such as schemes Shown, by taking candidate target k, candidate target i and candidate target j as an example, weighted value is transferred to candidate target i again by candidate target k The probability of happening for being transferred to candidate target j meets following second order Markov chain models:
T moment, the second weighted value are located at candidate target k, and candidate target k retains the second weighted value of part, and in t+1 It carves candidate target k and remaining second weighted value is passed into candidate target i, then, candidate target i retains remaining second power again Part in weight values, and the remainder in remaining second weighted value is passed into candidate target in t+2 moment candidate target i J, the probability of happening of the transmitting event of above-mentioned second weighted value can as shown in above-mentioned second order Markov chain model, as i=j and When i=k, indicate there was only candidate target k, i.e. t moment, t+1 moment and t+2 moment, the second weighted value all rests on candidate always Object k, therefore, the probability of happening of the transmitting event of above-mentioned second weighted value is 1;As i ≠ j and i=k, t moment and when t+1 It carves, the second weighted value rests on candidate target k, and therefore, the second weighted value will not be transferred to candidate target j by candidate target k, because , at the t+2 moment, the probability of happening of candidate target k to the event of the second weighted value of candidate target j transmitting portions is 0 for this;When i ≠ When k, no matter as i=j or i ≠ j, at the t+1 moment, the second weighted value can be transferred to candidate target i by candidate target k, in t+2 At the moment, the probability of happening that the second weighted value can be transferred to the event of candidate target j by candidate target i is Pij
Preferably, it using following formula, obtains candidate target i and passes to other times being directly linked with candidate target i Select the weighted value r (j) ' of object j:
R (j) '=r (j)+r (i) w (i, j)/(α+d (i))
Wherein, the r (j) indicates the basic weighted value of candidate target j;The r (i) indicates the of the candidate target i Two weighted values;The α indicates preset parameter value;The d (i) indicates other candidates being directly linked with the candidate target i The number of object.
It should be noted that in the candidate target of a classification, if association structure G=(V, W), V indicate candidate target Set, W=w (i, j) indicate the degree of association matrix of candidate target i and candidate target j, and the degree of association matrix w (i, j) is for indicating Candidate target i is associated with tightness with candidate target j's, if candidate target i and candidate target j is directly linked, w (i, j) etc. In 1, if candidate target i and candidate target j are not to be directly linked, w (i, j) is equal to 0.The d (i) of candidate target i be equal to w (i, J) cumulative and.
Alternatively, the weight absorptivity according to the candidate target obtains the candidate target using following formula (2) The method of first weighted value may include:
S (i) '=[α (α × I+L)-1r0]i
Wherein, the α indicates preset parameter value, the r0Indicate the candidate target i obtain the second weighted value it Itself preceding basic weighted value, second weighted value are that other candidate targets being directly linked with the candidate target i transmit To the weighted value of the candidate target i;I indicates unit matrix;L=D-W, L indicate the Laplacian Matrix of association structure, In, D=diag (d (1) ..., d (n)), wherein D=diag () indicates that diagonal matrix, d (i) indicate right with the candidate As i be directly linked other candidate targets number, i=1,2 ..., n;The total number of n expression candidate target.
It should be noted that in formula (2), [α (α × I+L)-1r0] indicate that the first weighted value of all candidate targets forms Matrix, [α (α × I+L)-1r0]iMean that the first weighted value of i-th of candidate target in the matrix.
Formula (2) is suitable for association structure the case where candidate target negligible amounts, if candidate target in association structure Quantity is more, is also calculated using formula (2), it is bigger to will lead to computational throughput;So if candidate in association structure Number of objects is more, can choose the first weighted value that candidate target is calculated using formula (1).
Step 104, according to first weighted value and the candidate target, target object to be pushed is obtained.
Specifically, needing after the first weighted value for obtaining candidate target by first weighted value and preset weight Threshold value is compared, and first weighted value is greater than the candidate target of the weight threshold as the mesh to be pushed Object is marked, the candidate target that the first weighted value is less than or equal to weight threshold is screened out.
Optionally, sequence that can be descending according to first weighted value, is ranked up the target object, with Obtain ranking results;Push the ranking results.
Referring to FIG. 5, its distribution schematic diagram for the search result of the prior art, as shown, point indicated by circle 1 Indicate that input object, all points indicate the search result of output, i.e., above-mentioned target object, however, point indicated by circle 2 is The most close search result with input object incidence relation is the most desirable search result of user;Circle 2, circle 3 and circle 4 In, the weighted value closer to intermediate point is higher, and the weighted value closer to the point at edge is lower, moreover, in all search results, Incidence relation wherein more between the point and input object of right-hand component is smaller, if examined as search result by reducing The accuracy of hitch fruit.
Referring to FIG. 6, its distribution schematic diagram for search result provided by the embodiment of the present invention, as shown, in Fig. 6 All points indicate the search result of output, i.e., above-mentioned target object, and the horizontal axis in Fig. 6 indicates the number of candidate target, such as wait 1~candidate target of object 300,300~candidate target of candidate target 600, candidate target 600 to candidate target 900 are selected, Fig. 6's Vertical pivot indicates the size for the second weighted value that candidate target absorbs.As shown in fig. 6, what 1~candidate target of candidate target 300 absorbed Second weighted value is bigger, indicate candidate target~candidate target 300 be with the most close candidate target of input object relationship, because This, it can be seen that 100~candidate target of candidate target 300 absorbs most of second weighted value, so that output is to other Second weighted value of classification is fewer, therefore search method provided by the embodiment of the present invention can embody the cluster of candidate target Retrieval.
It is the first signal of image retrieval provided by the embodiment of the present invention in addition, please referring to Fig. 7 (a)~Fig. 7 (d) Figure, Fig. 7 (a) indicate that original image, Fig. 7 (b) indicate input object, can be in all pixels in Fig. 7 (a) according to input object Matching retrieval is carried out in point, input object is several scattered pixels in bird pattern, and Fig. 7 (c) indicates that weighted value is being associated with The schematic diagram of candidate target when balanced in structure can probably find out that the profile of search result, Fig. 7 (d) indicate final and need The target object of push.
Fig. 8 (a)~Fig. 8 (c) is please referred to, is the second schematic diagram of image retrieval provided by the embodiment of the present invention, Fig. 8 (a) original image is indicated, wherein cross indicates input object, retrieval can match in Fig. 8 (a) according to the input object, defeated Entering object is a pixel, and Fig. 8 (b) indicates the schematic diagram of candidate target when weighted value is balanced in association structure, greatly It can generally find out that the profile of search result, Fig. 8 (c) indicate target object.
Fig. 9 (a)~Fig. 9 (c) is please referred to, is the second schematic diagram of image retrieval provided by the embodiment of the present invention, Fig. 9 (a) it indicates that original image, Fig. 9 (b) indicate input object, retrieval can be matched in Fig. 9 (a) according to the input object, input The quantity of object is more, causes image relatively fuzzyyer, Fig. 9 (c) indicates target object.Figure 10 (a)~Figure 10 (d) is please referred to, For the schematic diagram of search result under difference weighted average density provided by the embodiment of the present invention, Figure 10 (a)~Figure 10 (d) can The robustness for embodying the technical solution of the embodiment of the present invention well is used as threshold value for 1 times of weighted mean, to candidate right As being screened, obtain target object shown in Figure 10 (a), be used as threshold value for 1.5 times of weighted mean, to candidate target into Row screening, obtains target object shown in Figure 10 (b), is used as threshold value for 2 times of weighted mean, sieves to candidate target Choosing obtains target object shown in Figure 10 (c), is used as threshold value for 2.5 times of weighted mean, screens to candidate target, Target object shown in Figure 10 (d) is obtained, here, although the input of retrieval is blurred picture, it is clear still to be able to obtain Ground target image, and constantly becoming larger with threshold value, the target image of acquisition is more and more clear, the number of the target object of acquisition Measure fewer and fewer, the weighted value of the pixel (pixel in Figure 10 (d)) inside the target image of acquisition is noticeably greater than weight Average value.
The embodiment of the present invention, which further provides, realizes the Installation practice of each step and method in above method embodiment.
Figure 11 is please referred to, is the functional block diagram of Object Push system provided by the embodiment of the present invention.As shown, The system includes:
Object retrieval unit 11, for obtaining candidate target, the candidate target includes the input object of client, foundation The matching object or the click historical record according to the client that the input object of the client obtains after being retrieved The recommended of acquisition;
First processing units 12, for obtaining the weight absorptivity of the candidate target, the weight of the candidate target is inhaled Yield is that the number for other candidate targets being directly linked with the candidate target is in the parameter value of inversely prroportional relationship;Wherein, with Other candidate targets that the candidate target is directly linked are to be greater than preset dependent thresholds with the degree of correlation of the candidate target Other candidate targets;
The second processing unit 13 obtains the of the candidate target for the weight absorptivity according to the candidate target One weighted value;
Object screening unit 14, for obtaining target to be pushed according to first weighted value and the candidate target Object.
Preferably, described the second processing unit 13 is specifically used for:
Second weighted value of the candidate target is compared with preset screening threshold value;Second weighted value be with Other candidate targets that the candidate target is directly linked pass to the weighted value of the candidate target;
If the second weighted value of the candidate target is greater than the screening threshold value, the weight according to the candidate target absorbs Rate obtains the first weighted value of the candidate target;
If the second weighted value of the candidate target is less than or equal to the screening threshold value, the candidate target is not to pass Other candidate targets of connection transmit third weighted value, and the third weighted value is equal to the second weighted value and the institute of the candidate target The difference for stating the second weighted value of candidate target absorption, so that the third weighted value of the candidate target is right in associated candidate Stop transmitting as between.
Preferably, described the second processing unit 13 is specifically used for:
According to the number for other candidate targets that the candidate target is directly linked, and following formula is utilized, described in acquisition First weighted value of candidate target:
Wherein, the first weighted value of the S (i) ' expression candidate target i;The S (i) indicates the institute being obtained ahead of time State the basic weighted value of candidate target i;The α indicates preset parameter value;It is describedIndicate the weight absorptivity, institute Stating r (i) indicates the second weighted value of the candidate target i, and second weighted value is directly linked with the candidate target i Other candidate targets pass to the weighted value of the candidate target i;It is describedIndicate what the candidate target i absorbed Second weighted value;The d (i) indicates the number for other candidate targets that the candidate target i is directly linked.
Preferably, the object screening unit 14, is specifically used for: by first weighted value and preset weight threshold into Row compares, and first weighted value is greater than the candidate target of the weight threshold as the target object.
Preferably, the system also includes:
Object output unit 15, for the sequence descending according to first weighted value, to the target object into Row sequence, to obtain ranking results;Push the ranking results.
Figure 12 is please referred to, is the structural schematic diagram of Object Push system provided by the embodiment of the present invention.As shown, The equipment includes:
Memory 20, for storing one or more groups of program codes;
Processor 21 is coupled with memory 20, for calling the program code stored in memory 20, to execute with the following figure Method shown in 1, specifically includes: obtaining candidate target, the candidate target includes the input object of client, according to the visitor The matching object or click what historical record obtained according to the client that the input object at family end obtains after being retrieved Recommended;The weight absorptivity of the candidate target is obtained, the weight absorptivity of the candidate target is right with the candidate As the number of other candidate targets of direct correlation is in the parameter value of inversely prroportional relationship;Wherein, it is directly closed with the candidate target Other candidate targets of connection are other candidate targets for being greater than preset dependent thresholds with the degree of correlation of the candidate target;Foundation The weight absorptivity of the candidate target obtains the first weighted value of the candidate target;According to first weighted value and institute Candidate target is stated, target object to be pushed is obtained.
Method shown in FIG. 1 is able to carry out by processor in this present embodiment, the part that the present embodiment is not described in detail, It can refer to the related description to Fig. 1.
The technical solution of the embodiment of the present invention has the advantages that
The number for other candidate targets that the weight absorptivity of candidate target and the candidate target are directly linked is in inverse ratio Example relationship, therefore, the lesser original of number for other candidate targets that the candidate target according to edge in incidence relation is directly linked Reason, the weight absorptivity of the candidate target at edge is larger, therefore can guarantee that weighted value reaches certain classification to a certain extent Edge candidate target when, less weighted value is only passed to the candidate target of other classifications, weighted value can be guaranteed same It is transmitted between a kind of other different candidate targets, in this way, even if the candidate target of certain classification delivers weighted value to other classifications, The candidate targets of other analogies is as the weighted value obtained is smaller, without by as target object to be pushed, thus It can guarantee to be retrieved inside the generic of input object to a certain extent, to obtain target object to be pushed, And then the cluster of information retrieval may be implemented, it can be improved the accuracy and recall precision of search result.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the present invention.

Claims (8)

1. a kind of Object Push method, which is characterized in that the described method includes:
Obtain candidate target, the candidate target include client input object, according to the client input object into The matching object obtained after row retrieval or the recommended clicking historical record and obtaining according to the client;
The weight absorptivity of the candidate target is obtained, the weight absorptivity of the candidate target is direct with the candidate target The number of other associated candidate targets is in the parameter value of inversely prroportional relationship;Wherein, with the candidate target be directly linked its His candidate target is other candidate targets for being greater than preset dependent thresholds with the degree of correlation of the candidate target;
According to the weight absorptivity of the candidate target, the first weighted value of the candidate target is obtained;
According to first weighted value and the candidate target, target object to be pushed is obtained.
2. the method according to claim 1, wherein the weight absorptivity according to the candidate target, is obtained Obtain the first weighted value of the candidate target, comprising:
Second weighted value of the candidate target is compared with preset screening threshold value;Second weighted value be with it is described Other candidate targets that candidate target is directly linked pass to the weighted value of the candidate target;
If the second weighted value of the candidate target is greater than the screening threshold value, according to the weight absorptivity of the candidate target, Obtain the first weighted value of the candidate target;
If the second weighted value of the candidate target is less than or equal to the screening threshold value, the candidate target is not to associated Other candidate targets transmit third weighted value, second weighted value of the third weighted value equal to the candidate target and the time Select object absorb the second weighted value difference so that the third weighted value of the candidate target associated candidate target it Between stop transmitting;
Wherein, the weight absorptivity according to the candidate target, obtains the first weighted value of the candidate target, comprising:
According to the number for other candidate targets being directly linked with the candidate target, and following formula is utilized, obtains the time Select the first weighted value of object:
Wherein, the first weighted value of the S (i) ' expression candidate target i;The S (i) indicates the time being obtained ahead of time Select the basic weighted value of object i;The α indicates preset parameter value;It is describedIndicate the weight absorptivity, the r (i) indicate that the second weighted value of the candidate target i, second weighted value are its being directly linked with the candidate target i His candidate target passes to the weighted value of the candidate target i;It is describedIndicate that the candidate target i absorbs the Two weighted values;The d (i) indicates the number for other candidate targets that the candidate target i is directly linked.
3. the method according to claim 1, wherein described right according to first weighted value and the candidate As obtaining target object to be pushed, comprising:
First weighted value is compared with preset weight threshold, first weighted value is greater than the weight threshold The candidate target as the target object to be pushed.
4. the method according to claim 1, wherein the method also includes:
According to the sequence that first weighted value is descending, the target object is ranked up, to obtain ranking results;
Push the ranking results.
5. a kind of Object Push system, which is characterized in that the system comprises:
Object acquisition unit, for obtaining candidate target, the candidate target includes the input object of client, according to the visitor The matching object or click what historical record obtained according to the client that the input object at family end obtains after being retrieved Recommended;
First processing units, for obtaining the weight absorptivity of the candidate target, the weight absorptivity of the candidate target is The number for other candidate targets being directly linked with the candidate target is in the parameter value of inversely prroportional relationship;Wherein, with the time Other candidate targets for selecting object to be directly linked are other for being greater than preset dependent thresholds with the degree of correlation of the candidate target Candidate target;
The second processing unit obtains the first weight of the candidate target for the weight absorptivity according to the candidate target Value;
Object screening unit, for obtaining target object to be pushed according to first weighted value and the candidate target.
6. system according to claim 5, which is characterized in that described the second processing unit is specifically used for:
Second weighted value of the candidate target is compared with preset screening threshold value;Second weighted value be with it is described Other candidate targets that candidate target is directly linked pass to the weighted value of the candidate target;
If the second weighted value of the candidate target is greater than the screening threshold value, according to the weight absorptivity of the candidate target, Obtain the first weighted value of the candidate target;
If the second weighted value of the candidate target is less than or equal to the screening threshold value, the candidate target is not to associated Other candidate targets transmit third weighted value, second weighted value of the third weighted value equal to the candidate target and the time Select object absorb the second weighted value difference so that the third weighted value of the candidate target associated candidate target it Between stop transmitting;
Wherein, described the second processing unit is specifically used for:
According to the number for other candidate targets that the candidate target is directly linked, and following formula is utilized, obtains the candidate First weighted value of object:
Wherein, the first weighted value of the S (i) ' expression candidate target i;The S (i) indicates the time being obtained ahead of time Select the basic weighted value of object i;The α indicates preset parameter value;It is describedIndicate the weight absorptivity, the r (i) indicate that the second weighted value of the candidate target i, second weighted value are its being directly linked with the candidate target i His candidate target passes to the weighted value of the candidate target i;It is describedIndicate that the candidate target i absorbs the Two weighted values;The d (i) indicates the number for other candidate targets that the candidate target i is directly linked.
7. system according to claim 5, which is characterized in that the object screening unit is specifically used for:
First weighted value is compared with preset weight threshold, first weighted value is greater than the weight threshold The candidate target as the target object.
8. system according to claim 5, which is characterized in that the system also includes:
Object output unit is ranked up the target object for the sequence descending according to first weighted value, To obtain ranking results;Push the ranking results.
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