CN112085322B - Associated credibility assessment method and device based on freshness index - Google Patents
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Abstract
The invention discloses a correlation credibility assessment method and a device based on freshness index, wherein the correlation credibility assessment method comprises the following steps: step S1: extracting time information from the element space-time distribution detail information; step S2: constructing a freshness calculation model based on the time decay function; step S3: obtaining a freshness index through a freshness calculation model according to the time information; step S4: and carrying out the evaluation of the associated credibility based on the freshness index.
Description
Technical Field
The invention relates to a method and a device for evaluating associated credibility, in particular to a method and a device for evaluating associated credibility based on fresh activity indexes.
Background
With the development of internet technology, the problem of entity ID association relationship is a problem of data bottom ID communication, and particularly provides technical support for communication of real identity and virtual identity in public security service scenes. The prior art generally uses the number of associations to reflect the degree of association confidence, e.g., the greater the number of associations the more the association confidence. However, in practical use, it is found that, although the above-mentioned reliability is determined directly and easily based on the association times, the obtained reliability is not accurate, in practical cases, the reliability and time correlation of the association relationship are great, and how to find the reliability of the correlation relationship, that is, the correlation with the most recent time is reliable instead of the correlation reliability with a large number of association times.
Therefore, there is a need to develop a method and a device for evaluating associated reliability based on freshness index, which overcome the above-mentioned drawbacks.
Disclosure of Invention
In view of the above problems, the present invention provides a correlation reliability evaluation method based on a freshness index, including:
step S1: extracting time information from the element space-time distribution detail information;
step S2: constructing a freshness calculation model based on the time decay function;
step S3: obtaining a freshness index through the freshness calculation model according to the time information;
step S4: and carrying out the evaluation of the associated credibility based on the freshness index.
The above associated reliability evaluation method, wherein the time information: the latest acquisition time and the current acquisition time.
In the above-mentioned associated reliability evaluation method, in step S2, the freshness calculation model is constructed according to a time difference between the latest acquisition time and the current acquisition time.
The above associated credibility evaluation method, wherein the freshness calculation model is as follows:
；
wherein,is fresh, θ and->Is super-parameter (herba Cinchi Oleracei)>Is the time difference between the latest acquisition time and the current acquisition time.
The above-mentioned associated reliability evaluation method, wherein the step S3 includes:
step S31: obtaining a time difference according to the latest acquisition time and the current acquisition time;
step S32: setting super parameters;
step S33: calculating and outputting the freshness;
step S34: and obtaining a freshness index according to the freshness.
The invention provides a correlation credibility assessment device based on a freshness index, which comprises:
an extraction unit that extracts time information from the element spatiotemporal distribution detail information;
the model construction unit is used for constructing a freshness calculation model based on the time attenuation function;
the freshness index obtaining unit is used for obtaining a freshness index through the freshness calculation model according to the time information;
and the associated reliability evaluation unit is used for evaluating the associated reliability based on the freshness index.
The above-mentioned associated reliability evaluation device, wherein the time information: the latest acquisition time and the current acquisition time.
The correlation credibility evaluation device, wherein the model construction unit constructs the fresh activity calculation model according to the latest acquisition time and the current acquisition time.
The above-mentioned correlation credibility evaluation device, wherein, the fresh activity calculation model is:
；
wherein,is fresh, θ and->Is super-parameter (herba Cinchi Oleracei)>Is the time difference.
The above-mentioned association credibility evaluation apparatus, wherein the freshness index obtaining unit comprises:
the time difference obtaining module is used for obtaining a time difference according to the latest acquisition time and the current acquisition time;
the super parameter setting module is used for setting super parameters;
the calculating module calculates and outputs the freshness;
and the freshness index obtaining module is used for obtaining the freshness index according to the freshness.
In summary, compared with the prior art, the invention has the following effects: by defining the correlation of the credibility and time in the association relationship which is characterized by introducing the time decay function as freshness, the association reliability can be better evaluated under the condition that the association relationship is switched and paired by the freshness index, and a more accurate evaluation result is provided.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of associated confidence assessment of the present invention;
FIG. 2 is a partial flow chart of step S3 in FIG. 1;
FIG. 3 is a schematic view ofA decay curve at time;
fig. 4 is a schematic structural diagram of the associated reliability evaluation device according to the present invention.
Wherein, the reference sign is;
extraction unit 11
Model construction unit 12
Freshness index obtaining unit 13
The time difference obtaining module 131 obtains the time difference,
super parameter setting module 132
Calculation module 133
Freshness index obtaining module 134
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As used herein, the terms "comprising," "including," "having," "containing," and the like are intended to be inclusive and mean an inclusion, but not limited to.
The term "plurality" as used herein includes "two" and "more than two".
Referring to fig. 1, fig. 1 is a flowchart of a related reliability evaluation method according to the present invention. As shown in fig. 1, the associated reliability evaluation method of the present invention includes:
step S1: extracting time information from the element space-time distribution detail information;
step S2: constructing a freshness calculation model based on the time decay function;
step S3: obtaining a freshness index through the freshness calculation model according to the time information;
step S4: and carrying out the evaluation of the associated credibility based on the freshness index.
It should be noted that, association relation: the association relationship refers to a relationship between an entity and its belonging, for example: virtual account numbers of entity persons, and the like; fresh degree: the liveness degree of the association relationship in a certain time range is characterized, and the reliability of the association is reflected to a certain extent. The invention mainly designs a freshness calculation model based on a time decay function aiming at the reliability of the association relationship and the time correlation, and the more recently-appearing association is more reliable through the freshness calculation model.
Wherein the element spatiotemporal distribution detail information comprises: element ID, associated element ID and time information, wherein the element ID and the associated element ID can be virtual account numbers and the like; the time information includes: the latest acquisition time and the current acquisition time, wherein the current acquisition time is the time of the day of inquiry, and the latest acquisition time is the last time of data acquisition.
Specifically, the query is given with the association data generated by the elements to be queried and all other elements, wherein the association data is given with the total number of association times and the total number of association days, and some data is given with the total number of association days; the associated data also gives the earliest acquisition time and the latest acquisition time, and some data gives only the latest acquisition time. The details of the spatial and temporal distribution of the elements of the present invention are shown in the following table:
wherein, total statistics of the total number of days are carried out once, the data in the table represent one time given with daily statistics, A1 is element ID, B1-B4 are associated element IDs, and the ID can be any ID.
Further, in the step S2, the fresh-activity calculation model is constructed according to the time difference between the latest collection time and the current collection time.
The fresh activity calculation model is as follows:
；
wherein,as a function of time decay>Is fresh, θ and->Is super-parameter (herba Cinchi Oleracei)>Is the time difference.
A measure of how close the inter-element association is to the occurrence of the latest time and the current time can be understood here. Current time record we use a time decay function to achieve the calculation of freshness.
Fresh activity current calculation we describe using two time acquisition records, and then calculate the value of freshness based on a time decay function, the value interval [0,1], which can be extended to a percentile.
Time decay function correlation we start with the time acquisition record index, the longer the latest acquisition time is from the current time difference, the lower the freshness is represented, and the time decay function is based on the latest acquisition time: the function is used to represent the following:
；
description of specific parameters:a constant is shown for elongating the time decay process, such as: taking 6 to represent a constant, it can be understood that when +.>Time->The representation is a very large value, thus determining that Index approaches 1,/and->Representing the manifestation of an attenuation intensity>Post decay is fastest, < >>Is a superparameter that can be set to indicate from that value the decay starts to increase, wherein in this embodiment +.>For example, as shown in FIG. 3, FIG. 3 is +.>Attenuation curve at that time.
Still further, referring to fig. 2, fig. 2 is a partial flow chart of step S3 in fig. 1. As shown in fig. 2, the step S3 includes:
step S31: obtaining a time difference according to the latest acquisition time and the current acquisition time;
step S32: setting super parameters;
step S33: calculating and outputting the freshness;
step S34: and obtaining a freshness index according to the freshness.
The concrete explanation is as follows:
first, a time difference is obtained according to the following table;
taking serial number 1 as an example, obtaining a time difference of 1 according to the latest acquisition time and the current acquisition time;
next, super parameters are set, in this example，/>For illustration;
then, obtaining A1- > B1 fresh degree according to the fresh degree calculation model:
；
finally, the freshness was scored:
based on the data entered, the value of each freshness is calculated according to the algorithm of each index and gives the overall score value, namely the freshness index, in this embodiment the result is given the 2 bits after the decimal point is reserved, and the specific data output is as follows:
the output form can pack a single piece of content for one object, and finally a List set is given, and the output form can also be expressed as a Json structure.
Further, in the present embodiment, according to the table, the A1- > B1 freshness index is 96, the A1- > B2 freshness index is 90, the A1- > B3 freshness index is 80, and the A1- > B4 freshness index is 60, the highest associated reliability of A1- > B1 can be estimated according to the above results, and the estimation result is output.
It should be noted that the above examples are directed to setting super parameters,/>To illustrate. The following is a given parameter for the effect of time decay only after half a month +.>=15,/>=10. I.e. the associated confidence level decays rapidly if the current time-the latest acquisition time is greater than 15.
The parameter is used for controlling the time to be sensitive to time quickly, that is, the difference between the current time and the latest time is larger than the parameter, and the associated reliability is reduced quickly; />The parameters are used to control the proximity to 1, the greater the approach to approximately 1. The invention is therefore->The setting range of (2) is [1,30 ]],/>Setting range [1,100 ]]Is a preferred embodiment.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an associated reliability evaluation device according to the present invention. As shown in fig. 4, the associated reliability evaluation device of the present invention includes:
an extraction unit 11 that extracts time information from the element spatiotemporal distribution detail information;
a model construction unit 12 that constructs a freshness calculation model based on the time decay function;
a freshness index obtaining unit 13 for obtaining a freshness index according to the time information by the freshness calculation model;
the associated reliability evaluation unit 14 performs an evaluation of associated reliability based on the freshness index.
Wherein the time information: the latest acquisition time and the current acquisition time.
Further, the model construction unit 12 constructs the fresh-activity calculation model according to the time difference between the latest acquisition time and the current acquisition time, and the fresh-activity calculation model is:
；
wherein,is fresh, θ and->Is super-parameter (herba Cinchi Oleracei)>Is the time difference.
Still further, the freshness index obtaining unit 13 includes:
a time difference obtaining module 131, configured to obtain a time difference according to the latest acquisition time and the current acquisition time;
a super parameter setting module 132 that sets super parameters;
a calculation module 133 for calculating and outputting the freshness;
the freshness index obtaining module 134 obtains the freshness index according to the freshness.
In summary, the invention describes the credibility and time correlation in the association relationship by introducing the time decay function, which is defined as the calculation of the freshness index, can better complete the credibility evaluation of the association relationship under the condition of switching pairing, and provides a more accurate result.
Although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (4)
1. The associated credibility assessment method based on the freshness index is characterized by comprising the following steps of:
step S1: extracting time information from the element space-time distribution detail information;
step S2: constructing a freshness calculation model based on the time decay function;
step S3: obtaining a freshness index through the freshness calculation model according to the time information;
step S4: performing evaluation of associated credibility based on the freshness index;
wherein the time information: the latest acquisition time and the current acquisition time;
in the step S2, the fresh activity calculation model is constructed according to the time difference between the latest acquisition time and the current acquisition time;
wherein, the fresh activity calculation model is:
；
wherein,is fresh, θ and->Is super-parameter (herba Cinchi Oleracei)>Is the time difference between the latest acquisition time and the current acquisition time.
2. The associated reliability evaluation method according to claim 1, wherein the step S3 comprises:
step S31: obtaining a time difference according to the latest acquisition time and the current acquisition time;
step S32: setting super parameters;
step S33: calculating and outputting the freshness;
step S34: and obtaining a freshness index according to the freshness.
3. An associated reliability evaluation device based on freshness index, comprising:
an extraction unit that extracts time information from the element spatiotemporal distribution detail information;
the model construction unit is used for constructing a freshness calculation model based on the time attenuation function;
the freshness index obtaining unit is used for obtaining a freshness index through the freshness calculation model according to the time information;
the associated reliability evaluation unit is used for evaluating associated reliability based on the fresh activity index;
wherein the time information: the latest acquisition time and the current acquisition time;
the model construction unit constructs the fresh activity calculation model according to the latest acquisition time and the current acquisition time;
wherein, the fresh activity calculation model is:
；
wherein,is fresh, θ and->Is super-parameter (herba Cinchi Oleracei)>Is the time difference.
4. The associated reliability evaluation device according to claim 3, wherein the freshness index obtaining unit comprises:
the time difference obtaining module is used for obtaining a time difference according to the latest acquisition time and the current acquisition time;
the super parameter setting module is used for setting super parameters;
the calculating module calculates and outputs the freshness;
and the freshness index obtaining module is used for obtaining the freshness index according to the freshness.
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| HUP1300737A2 (en) * | 2013-12-18 | 2015-06-29 | Turbine Halozatelemzoe Kutatasi Fejlesztesi Kft | Method, processor controlled device and program for intervention planning in a complex system |
| US10764297B2 (en) * | 2017-09-15 | 2020-09-01 | Threatmetrix Pty Ltd | Anonymized persona identifier |
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| CN105376223A (en) * | 2015-11-02 | 2016-03-02 | 北京锐安科技有限公司 | Network identity relationship reliability calculation method |
| CN108491424A (en) * | 2018-02-07 | 2018-09-04 | 链家网（北京）科技有限公司 | User ID correlating method and device |
| CN111369264A (en) * | 2020-02-13 | 2020-07-03 | 平安科技（深圳）有限公司 | Entity association method, device, equipment and computer readable storage medium |
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