CN105653645A - Network information attention assessment method and device - Google Patents
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- CN105653645A CN105653645A CN201511001437.8A CN201511001437A CN105653645A CN 105653645 A CN105653645 A CN 105653645A CN 201511001437 A CN201511001437 A CN 201511001437A CN 105653645 A CN105653645 A CN 105653645A
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Abstract
Embodiments of the invention provide a network information attention assessment method and device. The method comprises the following steps: carrying out statistics on a first user set which exposes target network information; carrying out statistics on a second user set which exposes the target network information in a sample library; calculating a first proportion of target population in the second user set and calculating a second proportion of the target population in a third user set; and calculating the probability of exposing the target network information by the target population according to the first proportion and the second proportion. According to the method and device provided by the invention, statistics is carried out on the first user set which exposes the target network information and the second user set which exposes the target network information in the sample library, the first proportion of the target population in the second user set is calculated, the second proportion of the target population in the residual user sets except the second user set in the first user set is calculated, and the probability of exposing the target network information by the target population is calculated according to the first proportion and the second proportion, so that the network information attention assessment precision is improved.
Description
Technical field
The embodiment of the present invention relates to field of computer technology, particularly relates to a kind of network information attention rate appraisal procedure and device.
Background technology
Along with the development of computer technology, user browses webpage by the intelligent television of TV or uses APP, the network information exposed and check, equipment identification information browses the behavior of a certain network information as the data recording user being stored on user local terminal.
A certain network information every day, viewed number of times may be thousands of, corresponding generation thousands of equipment identification informations, owing to the workload of the ratio adding up target crowd from thousands of equipment identification informations is bigger, prior art establishes sample storehouse, sample storehouse comprises multiple sample of users equipment identification information corresponding respectively, the network information browsed according to the sample of users of each equipment identification information record in sample storehouse, judge the whether browsed target network information of this sample of users, and count the number of the sample of users of the browsed target network information in sample storehouse, and using the ratio of target crowd in the sample of users of the browsed target network information as the target network information by the browsed probability of target crowd.
Owing in sample storehouse, the number of sample of users is less, in sample storehouse, the number of the sample of users of the browsed target network information is less, by the less sample of users assessment objective network information by the browsed probability of target crowd, cause the target network information evaluated not accurate by the probability that target crowd is browsed, reduce network information attention rate Evaluation accuracy.
Summary of the invention
The embodiment of the present invention provides a kind of network information attention rate appraisal procedure and device, to improve network information attention rate Evaluation accuracy.
An aspect of the embodiment of the present invention is to provide a kind of network information attention rate appraisal procedure, comprising:
The first user collection of the statistics exposure target network information;
Having exposed the 2nd user's collection of the described target network information in statistical sample storehouse, described sample storehouse comprises multiple sample of users;
Calculating the first ratio that described 2nd user concentrates target crowd, calculate the 2nd ratio that the 3rd user concentrates target crowd, described 3rd user's collection is that described first user is concentrated except described 2nd user collects remaining user collection;
The probability that the described target network information exposed by described target crowd is calculated according to described first ratio and described 2nd ratio.
Another aspect of the embodiment of the present invention is to provide a kind of network information attention rate apparatus for evaluating, comprising:
Statistics module, for adding up the first user collection of the exposure target network information; Having exposed the 2nd user's collection of the described target network information in statistical sample storehouse, described sample storehouse comprises multiple sample of users;
Calculating module, concentrate first ratio of target crowd for calculating described 2nd user, calculate the 2nd ratio that the 3rd user concentrates target crowd, described 3rd user's collection is that described first user is concentrated except described 2nd user collects remaining user collection; The probability that the described target network information exposed by described target crowd is calculated according to described first ratio and described 2nd ratio.
The network information attention rate appraisal procedure that the embodiment of the present invention provides and device, by the first user collection of the statistics exposure target network information, and sample storehouse has exposed the 2nd user's collection of the target network information, calculate the first ratio that the 2nd user concentrates target crowd, and first user concentrate except the 2nd user collect remaining user concentrate target crowd the 2nd ratio, the probability exposed by target crowd according to the first ratio and the 2nd ratio calculating target network information, compared to by the less sample of users assessment objective network information by the browsed probability of target crowd, improve network information attention rate Evaluation accuracy.
Accompanying drawing explanation
The network information attention rate appraisal procedure schema that Fig. 1 provides for the embodiment of the present invention;
The structure iron of the network information attention rate apparatus for evaluating that Fig. 2 provides for the embodiment of the present invention.
Embodiment
The network information attention rate appraisal procedure schema that Fig. 1 provides for the embodiment of the present invention. The embodiment of the present invention is less for the number of sample of users in sample storehouse, in sample storehouse, the number of the sample of users of the browsed target network information is less, by the less sample of users assessment objective network information by the browsed probability of target crowd, cause the target network information evaluated not accurate by the probability that target crowd is browsed, reduce network information attention rate Evaluation accuracy, providing network information attention rate appraisal procedure, the method concrete steps are as follows:
The first user collection of step S101, the statistics exposure target network information;
User browses webpage by intelligent television or uses APP in embodiments of the present invention, and expose the network information that it is interested, user often exposes primary network information by intelligent television, the number of times that the target network information is exposed can be counted by equipment identification information information, and the user of the exposure target network information, specifically, all users exposing the target network information are as first user collection.
Having exposed the 2nd user's collection of the described target network information in step S102, statistical sample storehouse, described sample storehouse comprises multiple sample of users;
The embodiment of the present invention also establishes sample storehouse, this sample storehouse comprises multiple sample of users, the plurality of sample of users can be the user chosen at random, differ and establish a capital the exposed target network information, the equipment identification information information corresponding according to sample of users judges this sample of users this target network information whether exposed, and the sample of users having exposed the described target network information in sample storehouse forms the 2nd user's collection.
Step S103, calculate described 2nd user concentrate target crowd the first ratio, calculate the 3rd user concentrate target crowd the 2nd ratio, described 3rd user collection be described first user concentrate except described 2nd user collect remaining user collection;
Target crowd is specifically as follows the women of a certain age bracket, can also be the user crowd meeting other features, preferably, the target crowd that the embodiment of the present invention is selected is the women of 20 years old to 30 years old, calculate the first ratio that described 2nd user concentrates target crowd, namely calculate the ratio shared by women of in the sample of users having exposed the described target network information in sample storehouse 20 years old to 30 years old; Described 3rd user's collection is that described first user is concentrated except described 2nd user collects remaining user collection, calculate the 2nd ratio that the 3rd user concentrates target crowd, the i.e. ratio shared by women of 20 years old to 30 years old in user except the sample of users hit in sample storehouse in the calculation exposure user of the target network information, namely the sample of users hit in sample storehouse be the sample of users having exposed the described target network information in sample storehouse.
Step S104, the probability calculating the described target network information according to described first ratio and described 2nd ratio and being exposed by described target crowd.
Described calculate, according to described first ratio and described 2nd ratio, the probability that the described target network information exposed by described target crowd, comprise: calculate described first ratio and the weighted sum of described 2nd ratio, using the probability that described weighted sum is exposed as the described target network information by described target crowd.
Such as, the first ratio shared by women having exposed in the sample of users of the described target network information 20 years old to 30 years old in sample storehouse is 40%, the 2nd ratio shared by women having exposed in the user of the target network information in the user except the sample of users hit in sample storehouse 20 years old to 30 years old is 50%, according to default weight such as the weighted sum 40%*0.6+50%*0.4=44% of 0.6 and 0.4 calculating the first ratio 40% and the 2nd ratio 50%, the probability that this weighted sum is exposed by described target crowd as the described target network information, namely the target network information is 44% by the probability of women's exposure of 20 years old to 30 years old.
The embodiment of the present invention is by the first user collection of the statistics exposure target network information, and sample storehouse has exposed the 2nd user's collection of the target network information, calculate the first ratio that the 2nd user concentrates target crowd, and first user concentrate except the 2nd user collect remaining user concentrate target crowd the 2nd ratio, the probability exposed by target crowd according to the first ratio and the 2nd ratio calculating target network information, compared to by the less sample of users assessment objective network information by the browsed probability of target crowd, it is to increase network information attention rate Evaluation accuracy.
On the basis of above-described embodiment, described first user collection comprises the first equipment identification information corresponding to the user of the exposed described target network information, described first equipment identification information comprises user's behavioural information, described sample storehouse comprises the 2nd equipment identification information corresponding to each sample of users, and described 2nd equipment identification information comprises sample of users behavioural information and sample of users essential information.
Described calculating the 3rd user concentrates the 2nd ratio of target crowd, comprise: judge that whether corresponding with any one the 2nd equipment identification information in described sample storehouse user's behavioural information that described 3rd user concentrates each the first equipment identification information corresponding sample of users behavioural information be identical, if identical, then using sample of users essential information corresponding for described 2nd equipment identification information as user basic information corresponding to described first equipment identification information; Concentrate the described user basic information that the first equipment identification information is corresponding to add up described target crowd according to described 3rd user and concentrate the 2nd shared ratio described 3rd user.
Described first user collection comprises the first equipment identification information corresponding to the user of the exposed described target network information, described 3rd user's collection is that described first user is concentrated except described 2nd user collects remaining user collection, then described 3rd user's collection comprises the exposed described target network information but does not belong to the first equipment identification information that the user in sample storehouse is corresponding, described first equipment identification information comprises user's behavioural information, and user's behavioural information is specifically as follows the exposed entertainment information of user, news information, serial video, film video etc.Described sample storehouse comprises the 2nd equipment identification information corresponding to each sample of users, described 2nd equipment identification information comprises sample of users behavioural information and sample of users essential information, such as, the 2nd equipment identification information that in sample storehouse, a certain sample of users is corresponding not only comprises the record that this sample of users exposes certain network information, also comprise the essential information of this sample of users, such as, age and sex.
Judge that whether corresponding with any one the 2nd equipment identification information in described sample storehouse user's behavioural information that described 3rd user concentrates each the first equipment identification information corresponding sample of users behavioural information be identical, if it is identical, such as, user's behavioural information that the first equipment identification information that 3rd user concentrates a certain user corresponding is corresponding is exposure South Korean TV soaps video, Wang Gou Korea S branding cosmetic, in described sample storehouse, the behavioural information of a certain sample of users is also exposure South Korean TV soaps video, Wang Gou Korea S branding cosmetic, simultaneously, it is 25 years old women that described sample storehouse have recorded this sample of users, then user's behavioural information is concentrated to be exposure South Korean TV soaps video as the 3rd user 25 years old women, the essential information of the user of Wang Gou Korea S branding cosmetic, foundation the method can count the essential information that the 3rd user concentrates the user of the identical sample of users behavioural information having and store in described sample storehouse, and concentrate the described user basic information that the first equipment identification information is corresponding to add up described target crowd according to described 3rd user and concentrate the 2nd shared ratio described 3rd user, in embodiments of the present invention, owing to the 3rd user collects the number of number much larger than the 2nd equipment identification information in described sample storehouse of the first equipment identification information comprised, therefore, 3rd user concentrates the number of the first equipment identification information that can evaluate user basic information to be less than total number of concentrated first equipment identification information of the 3rd user, add up described target crowd according to the user basic information evaluated and concentrate the 2nd shared ratio described 3rd user.
Described calculate, according to described first ratio and described 2nd ratio, the probability that the described target network information is exposed by described target crowd after, also comprise:
According to described probability calculation iGRP value and Reach value, wherein, PV1 represents total number of times that the described target network information is exposed, PV2 represents the user's number exposing the described target network information, TA% represents described probability, and W represents the index of stability that the described target network information exists in a network, and T represents the sum of target crowd described in described sample storehouse.
In embodiments of the present invention, after calculating, according to described first ratio and described 2nd ratio, the probability TA% that the described target network information is exposed by described target crowd into, TA% is brought respectively formula With Calculate iGRP value and Reach value, weighed the attention rate of the network information by TA%, iGRP and Reach tri-value.
The embodiment of the present invention is by calculating the weighted sum of the first ratio and the 2nd ratio, using the probability that weighted sum is exposed as the target network information by target crowd, improve the Evaluation accuracy that the target network information is exposed probability by target crowd, further increase network information attention rate Evaluation accuracy.
The structure iron of the network information attention rate apparatus for evaluating that Fig. 2 provides for the embodiment of the present invention. The network information attention rate apparatus for evaluating that the embodiment of the present invention provides can perform the treatment scheme that network information attention rate appraisal procedure embodiment provides, as shown in Figure 2, network information attention rate apparatus for evaluating 20 comprises statistics module 21 and calculates module 22, wherein, module 21 is added up for adding up the first user collection of the exposure target network information;Having exposed the 2nd user's collection of the described target network information in statistical sample storehouse, described sample storehouse comprises multiple sample of users; Calculating the first ratio that module 22 concentrates target crowd for calculating described 2nd user, calculate the 2nd ratio that the 3rd user concentrates target crowd, described 3rd user's collection is that described first user is concentrated except described 2nd user collects remaining user collection; The probability that the described target network information exposed by described target crowd is calculated according to described first ratio and described 2nd ratio.
The embodiment of the present invention is by the first user collection of the statistics exposure target network information, and sample storehouse has exposed the 2nd user's collection of the target network information, calculate the first ratio that the 2nd user concentrates target crowd, and first user concentrate except the 2nd user collect remaining user concentrate target crowd the 2nd ratio, the probability exposed by target crowd according to the first ratio and the 2nd ratio calculating target network information, compared to by the less sample of users assessment objective network information by the browsed probability of target crowd, it is to increase network information attention rate Evaluation accuracy.
On the basis of above-described embodiment, described first user collection comprises the first equipment identification information corresponding to the user of the exposed described target network information, described first equipment identification information comprises user's behavioural information, described sample storehouse comprises the 2nd equipment identification information corresponding to each sample of users, and described 2nd equipment identification information comprises sample of users behavioural information and sample of users essential information.
Whether corresponding with any one the 2nd equipment identification information in described sample storehouse the sample of users behavioural information calculating module 22 user's behavioural information of concentrating each the first equipment identification information corresponding specifically for judging described 3rd user be identical, if identical, then using sample of users essential information corresponding for described 2nd equipment identification information as user basic information corresponding to described first equipment identification information; Concentrate the described user basic information that the first equipment identification information is corresponding to add up described target crowd according to described 3rd user and concentrate the 2nd shared ratio described 3rd user.
Calculate module 22 specifically for calculating described first ratio and the weighted sum of described 2nd ratio, using the probability that described weighted sum is exposed as the described target network information by described target crowd.
Calculate module 22 also for according to described probability calculation iGRP value and Reach value, wherein, PV1 represents total number of times that the described target network information is exposed, PV2 represents the user's number exposing the described target network information, TA% represents described probability, and W represents the index of stability that the described target network information exists in a network, and T represents the sum of target crowd described in described sample storehouse.
The network information attention rate apparatus for evaluating that the embodiment of the present invention provides can specifically for performing the embodiment of the method that above-mentioned Fig. 1 provides, and concrete function repeats no more herein.
The embodiment of the present invention is by calculating the weighted sum of the first ratio and the 2nd ratio, using the probability that weighted sum is exposed as the target network information by target crowd, improve the Evaluation accuracy that the target network information is exposed probability by target crowd, further increase network information attention rate Evaluation accuracy.
In sum, the embodiment of the present invention is by the first user collection of the statistics exposure target network information, and sample storehouse has exposed the 2nd user's collection of the target network information, calculate the first ratio that the 2nd user concentrates target crowd, and first user concentrate except the 2nd user collect remaining user concentrate target crowd the 2nd ratio, the probability exposed by target crowd according to the first ratio and the 2nd ratio calculating target network information, compared to by the less sample of users assessment objective network information by the browsed probability of target crowd, improve network information attention rate Evaluation accuracy, by calculating the first ratio and the weighted sum of the 2nd ratio, using the probability that weighted sum is exposed as the target network information by target crowd, improve the Evaluation accuracy that the target network information is exposed probability by target crowd, further increase network information attention rate Evaluation accuracy.
In provided by the present invention several embodiments, it should be appreciated that, disclosed device and method, it is possible to realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described unit, being 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 ignore, or do not perform. Another point, shown or discussed coupling each other or directly coupling or communication connection can be the indirect coupling by some interfaces, device or unit or communication connection, it is possible to 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 can also be distributed on multiple NE. 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, it is also possible to is that the independent physics of each unit exists, it is also possible to two or more unit are in a unit integrated. Above-mentioned integrated unit both can adopt the form of hardware to realize, it is also possible to the form adopting hardware to add software functional unit realizes.
The above-mentioned integrated unit realized with the form of software functional unit, it is possible to be stored in a computer read/write memory medium. Above-mentioned software functional unit is stored in a storage media, comprise some instructions with so that a computer equipment (can be Personal Computer, server, or the network equipment etc.) or treater (processor) perform the part steps of method described in each embodiment of the present invention. And aforesaid storage media comprises: USB flash disk, portable hard drive, read-only storage (Read-OnlyMemory, ROM), random access memory (RandomAccessMemory, RAM), magnetic disc or CD etc. various can be program code stored medium.
Those skilled in the art can be well understood to, for convenience and simplicity of description, only it is illustrated with the division of above-mentioned each function module, in practical application, can complete by different function modules as required and by above-mentioned functions distribution, it is divided into different function modules, to complete all or part of function described above by the internal structure of device. The concrete working process of the device of foregoing description, it is possible to reference to the corresponding process in aforementioned embodiment of the method, do not repeat them here.
Last it is noted that above each embodiment is only in order to illustrate the technical scheme of the present invention, it is not intended to limit; Although with reference to foregoing embodiments to invention has been detailed description, it will be understood by those within the art that: the technical scheme described in foregoing embodiments still can be modified by it, or wherein some or all of technology feature is carried out equivalent replacement; And these amendments or replacement, do not make the scope of the essence disengaging various embodiments of the present invention technical scheme of appropriate technical solution.
Claims (10)
1. a network information attention rate appraisal procedure, it is characterised in that, comprising:
The first user collection of the statistics exposure target network information;
Having exposed the 2nd user's collection of the described target network information in statistical sample storehouse, described sample storehouse comprises multiple sample of users;
Calculating the first ratio that described 2nd user concentrates target crowd, calculate the 2nd ratio that the 3rd user concentrates target crowd, described 3rd user's collection is that described first user is concentrated except described 2nd user collects remaining user collection;
The probability that the described target network information exposed by described target crowd is calculated according to described first ratio and described 2nd ratio.
2. method according to claim 1, it is characterized in that, described first user collection comprises the first equipment identification information corresponding to the user of the exposed described target network information, described first equipment identification information comprises user's behavioural information, described sample storehouse comprises the 2nd equipment identification information corresponding to each sample of users, and described 2nd equipment identification information comprises sample of users behavioural information and sample of users essential information.
3. method according to claim 2, it is characterised in that, described calculating the 3rd user concentrates the 2nd ratio of target crowd, comprising:
Judge that whether corresponding with any one the 2nd equipment identification information in described sample storehouse user's behavioural information that described 3rd user concentrates each the first equipment identification information corresponding sample of users behavioural information be identical, if identical, then using sample of users essential information corresponding for described 2nd equipment identification information as user basic information corresponding to described first equipment identification information;
Concentrate the described user basic information that the first equipment identification information is corresponding to add up described target crowd according to described 3rd user and concentrate the 2nd shared ratio described 3rd user.
4. method according to claim 3, it is characterised in that, described calculate, according to described first ratio and described 2nd ratio, the probability that the described target network information exposed by described target crowd, comprising:
Calculate described first ratio and the weighted sum of described 2nd ratio, using the probability that described weighted sum is exposed as the described target network information by described target crowd.
5. method according to the arbitrary item of claim 1-4, it is characterised in that, described calculate, according to described first ratio and described 2nd ratio, the probability that the described target network information is exposed by described target crowd after, also comprise:
According to described probability calculation iGRP value and Reach value, wherein, PV1 represents total number of times that the described target network information is exposed, PV2 represents the user's number exposing the described target network information, TA% represents described probability, and W represents the index of stability that the described target network information exists in a network, and T represents the sum of target crowd described in described sample storehouse.
6. a network information attention rate apparatus for evaluating, it is characterised in that, comprising:
Statistics module, for adding up the first user collection of the exposure target network information; Having exposed the 2nd user's collection of the described target network information in statistical sample storehouse, described sample storehouse comprises multiple sample of users;
Calculating module, concentrate first ratio of target crowd for calculating described 2nd user, calculate the 2nd ratio that the 3rd user concentrates target crowd, described 3rd user's collection is that described first user is concentrated except described 2nd user collects remaining user collection; The probability that the described target network information exposed by described target crowd is calculated according to described first ratio and described 2nd ratio.
7. network information attention rate apparatus for evaluating according to claim 6, it is characterized in that, described first user collection comprises the first equipment identification information corresponding to the user of the exposed described target network information, described first equipment identification information comprises user's behavioural information, described sample storehouse comprises the 2nd equipment identification information corresponding to each sample of users, and described 2nd equipment identification information comprises sample of users behavioural information and sample of users essential information.
8. network information attention rate apparatus for evaluating according to claim 7, it is characterized in that, whether corresponding with any one the 2nd equipment identification information in described sample storehouse user's behavioural information that described calculating module concentrates each the first equipment identification information corresponding specifically for judging described 3rd user sample of users behavioural information be identical, if identical, then using sample of users essential information corresponding for described 2nd equipment identification information as user basic information corresponding to described first equipment identification information;Concentrate the described user basic information that the first equipment identification information is corresponding to add up described target crowd according to described 3rd user and concentrate the 2nd shared ratio described 3rd user.
9. network information attention rate apparatus for evaluating according to claim 8, it is characterized in that, described calculating module specifically for calculating described first ratio and the weighted sum of described 2nd ratio, using the probability that described weighted sum is exposed as the described target network information by described target crowd.
10. network information attention rate apparatus for evaluating according to the arbitrary item of claim 6-9, it is characterised in that, described calculating module also for according to described probability calculation iGRP value and Reach value, wherein, PV1 represents total number of times that the described target network information is exposed, PV2 represents the user's number exposing the described target network information, TA% represents described probability, and W represents the index of stability that the described target network information exists in a network, and T represents the sum of target crowd described in described sample storehouse.
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| CN106934064A (en) * | 2017-03-30 | 2017-07-07 | 常州大学怀德学院 | Network information hotspot prediction system and method based on ELM |
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| CN103064866A (en) * | 2011-10-24 | 2013-04-24 | 北京千橡网景科技发展有限公司 | Method and equipment for confirming attention degree of content in Internet |
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