CN113159851A - Carousel advertisement sequencing method and device - Google Patents
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Abstract
The application relates to a carousel advertisement sequencing method and a carousel advertisement sequencing device, wherein the carousel advertisement sequencing method comprises the steps of obtaining a plurality of advertisement materials needing to be played in the same time period, wherein the advertisement materials comprise tags; calculating label consistency among the advertisement materials according to the label of each advertisement material; and acquiring a client appeal, acquiring a data consistency degree according to the client appeal, and determining the playing sequence of the plurality of advertisement materials according to the label consistency degree and the data consistency degree. The method and the device can meet the specific exclusive requirement of the client according to the client appeal, can actively sort according to the label consistency degree and the data consistency degree, attract the attention of audiences, and improve the advertisement playing effect.
Description
Technical Field
The application belongs to the technical field of advertisement playing, and particularly relates to a carousel advertisement sequencing method and device.
Background
The advertisement carousel refers to that a plurality of advertisement materials are scheduled on the same advertisement resource in the same time, so that all scheduled advertisement materials have the opportunity of being presented, and the purpose that the plurality of materials share the resource is achieved. In the advertisement carousel, the elevator carousel advertisements, especially the elevator door projection advertisements, have high audience attention. Reasonable switching sequence between advertisements is helpful for audiences to accept, attracts the audiences to pay attention to, deepens impression and assists brand propagation. In the conventional elevator carousel advertisement, scenes of carousel advertisement materials are controlled, and the scenes are played circularly according to a default release sequence without sequencing. The disadvantage of this method is that the advertisement playing effect is poor, for example, two or three picture advertisements are played next to each other in turn, which cannot attract the attention of the audience, or two kinds of advertisements with similar picture properties are played next, which is easy to cause the tedium of the audience, and is distracting, which is not favorable for the advertisement transmission. Moreover, if the advertiser has an exclusive appeal, the user requirements cannot be met in time, and poor user experience is brought to the client.
Disclosure of Invention
The method and the device for sequencing the carousel advertisements solve the problems that scenes for controlling carousel advertisement materials in the existing elevator carousel advertisements are not sequenced to a certain extent, and are circularly played according to a default release sequence, so that the attention of audiences cannot be aroused, the propagation of the advertisements is not facilitated, and if an advertiser has an exclusive appeal, the user requirements cannot be met timely, and poor user experience is brought to clients.
In a first aspect, the present application provides a method for ordering a carousel advertisement, including:
acquiring a plurality of advertisement materials needing to be played in the same time period, wherein the advertisement materials comprise tags;
calculating label consistency among the advertisement materials according to the label of each advertisement material;
acquiring a client appeal, and acquiring data consistency according to the client appeal;
and determining the playing sequence of the plurality of advertisement materials according to the label consistency and the data consistency.
Further, the determining the playing sequence of the plurality of advertisement materials according to the tag consistency degree and the data consistency degree includes:
calculating a comprehensive consistency degree according to the label consistency degree and the data consistency degree;
constructing a undirected weighted material relation graph by taking the advertisement material as a vertex and taking the comprehensive consistency degree as a weight edge;
judging whether the undirected weighted material relation graph is a Hamilton graph or not;
if yes, calculating a Hamiltonian loop of the Hamiltonian graph;
the playing sequence of the plurality of advertisement materials is determined according to the Hamiltonian loop.
Further, after constructing the undirected weighted material relationship graph, the method further comprises the following steps:
and removing the weight edges of which the weights are smaller than a preset threshold value in the undirected weighted material relation graph so as to improve the average value of the comprehensive consistency degree between the vertexes of the advertisement materials in the undirected weighted material relation graph.
Further, the method also comprises the following steps:
presetting a gasket material library;
and if the undirected weighted material relation graph is not the Hamilton graph, acquiring gasket materials from the gasket material library according to a preset rule and embedding the gasket materials into the undirected weighted material relation graph so as to enable the undirected weighted material relation graph to become the Hamilton graph.
Further, the calculating the label consistency between advertisement materials according to the label of each advertisement material includes:
scoring the label of each advertisement material;
obtaining a weight vector according to a scoring result;
and calculating label consistency among advertisement materials according to the weight vector of each label.
Further, the calculating the label consistency among the advertisement materials according to the weight vector of each label includes:
acquiring a label consistency degree vector between two labels;
and performing dot multiplication on the weight vector of the label and the corresponding label consistency degree vector to obtain the label consistency degrees among the advertisement materials.
Further, the tag includes:
one or more of a material type, industry, speaker, customer, and visual impact effect.
Further, the obtaining of the data consistency according to the client appeal includes:
analyzing the advertisement material label corresponding to the client appeal;
comparing the plurality of advertisement material labels with advertisement material labels corresponding to the customer complaints,
and obtaining the data consistency according to the comparison result.
Further, the obtaining of the data consistency according to the comparison result includes:
if any label of the advertisement material is the same as the label of the advertisement material corresponding to the customer complaint, the corresponding data consistency value is 0;
otherwise, the corresponding data consistency value is 1.
In a second aspect, the present application provides a carousel advertisement ranking device, comprising:
the first acquisition module is used for acquiring a plurality of advertisement materials which need to be played in the same time period, and the advertisement materials comprise tags;
the calculation module is used for calculating label consistency among the advertisement materials according to the label of each advertisement material;
the second acquisition module is used for acquiring the client appeal and acquiring the data consistency according to the client appeal;
and the confirming module is used for determining the playing sequence of the plurality of advertisement materials according to the label consistency degree and the data consistency degree.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
according to the carousel advertisement sequencing method and device provided by the embodiment of the invention, a plurality of advertisement materials needing to be played in the same time period are obtained, and the advertisement materials comprise tags; calculating label consistency among the advertisement materials according to the label of each advertisement material; acquiring a client appeal, and acquiring data consistency according to the client appeal; the playing sequence of a plurality of advertisement materials is determined according to the label consistency degree and the data consistency degree, the specific exclusive requirements of the clients can be met according to the client appeal, active sequencing can be conducted according to the label consistency degree and the data consistency degree, audiences are attracted to pay attention, and the advertisement playing effect is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of a carousel advertisement ranking method according to an embodiment of the present application.
Fig. 2 is a flowchart of a carousel advertisement ranking method according to another embodiment of the present application.
Fig. 3 is a undirected weighted material relationship diagram of a method for ordering a carousel advertisement according to an embodiment of the present application.
Fig. 4 is a undirected weighted material relationship diagram of another method for ordering a carousel advertisement according to an embodiment of the present application.
Fig. 5 is a hamiltonian diagram of a method for ordering a carousel advertisement according to an embodiment of the present application.
Fig. 6 is a undirected weighted material relationship diagram of another method for ordering a carousel advertisement according to an embodiment of the present application.
Fig. 7 is a undirected weighted material relationship diagram of another method for ordering a carousel advertisement according to an embodiment of the present application.
Fig. 8 is a undirected weighted material relationship diagram of another method for ordering a carousel advertisement according to an embodiment of the present application.
Fig. 9 is a undirected weighted material relationship diagram of another method for ordering a carousel advertisement according to an embodiment of the present application.
Fig. 10 is a hamiltonian diagram of another carousel advertisement ordering method according to an embodiment of the present application.
Fig. 11 is a functional block diagram of a carousel advertisement sorting apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a flowchart of a carousel advertisement sorting method according to an embodiment of the present application, and as shown in fig. 1, the carousel advertisement sorting method includes:
s11: acquiring a plurality of advertisement materials needing to be played in the same time period, wherein the advertisement materials comprise tags;
it should be noted that the labels of the advertisement materials can be labeled manually or automatically by a machine learning algorithm, and the process of labeling the advertisement materials is not limited in the present application.
S12: calculating label consistency among the advertisement materials according to the label of each advertisement material;
s13: acquiring a client appeal, and acquiring data consistency according to the client appeal;
s14: and determining the playing sequence of the plurality of advertisement materials according to the label consistency and the data consistency.
In the conventional elevator carousel advertisement, scenes of carousel advertisement materials are controlled, and the conventional method is to circularly play the materials according to a default release sequence. The disadvantage of this method is that the advertisement playing effect is poor, for example, two or three picture advertisements are played next to each other in turn, which cannot attract the attention of the audience, or two kinds of advertisements with similar picture properties are played next, which is easy to cause the tedium of the audience, and is distracting, which is not favorable for the advertisement transmission. Moreover, if the advertiser has an exclusive appeal, the user requirements cannot be met in time, and poor user experience is brought to the client. The exclusive appeal means that the advertisement of the advertiser and the competitive products in the same line are not expected to be played in sequence, or when the same advertiser puts more than two pictures at the same time at a terminal for playing the advertisement, the two pictures are expected to be played separately, or the putting pictures of the advertiser are not expected to be played in sequence with the advertisement of a certain industry or even the advertisement of a certain client. If the user requirements cannot be met according to the default playing order.
In the embodiment, a plurality of advertisement materials needing to be played in the same time period are obtained, the advertisement materials comprise tags, active sequencing among the advertisement materials can be realized by calculating tag consistency among the advertisement materials according to the tags of each advertisement material, audiences are attracted to pay attention to the advertisement materials, and the advertisement playing effect is improved; by obtaining the client appeal, the data consistency degree obtained according to the client appeal can meet the specific exclusive requirement of the client.
In the embodiment, a plurality of advertisement materials which need to be played in the same time period are obtained, and the plurality of advertisement materials comprise tags; calculating label consistency among the advertisement materials according to the label of each advertisement material; acquiring a client appeal, and acquiring data consistency according to the client appeal; the playing sequence of a plurality of advertisement materials is determined according to the label consistency degree and the data consistency degree, the specific exclusive requirements of the clients can be met according to the client appeal, active sequencing can be conducted according to the label consistency degree and the data consistency degree, audiences are attracted to pay attention, and the advertisement playing effect is improved.
Fig. 2 is a flowchart of a carousel advertisement sorting method according to an embodiment of the present application, and as shown in fig. 2, the carousel advertisement sorting method includes:
s21: acquiring a plurality of advertisement materials needing to be played in the same time period, wherein the advertisement materials comprise tags;
in some embodiments, tags, include, but are not limited to: one or more of a material type, industry, speaker, customer, and visual impact effect. The advertising material labels are shown in table 1,
table 1 tags for advertising material
| Label | 1 | |
Label 3 | Label 4 |
Material A | Video | | Star | 1 | High strength |
Material B | Picture frame | Electronic commerce | Star 3 | Weak (weak) | |
Material C | Video | Recruitment | Is free of | Weak (weak) | |
Material D | Video | | Star | 2 | Weak (weak) |
Material E | Picture frame | Electronic commerce | Is free of | High strength | |
Material F | | Recruitment | Star | 1 | Weak (weak) |
S22: calculating label consistency among the advertisement materials according to the label of each advertisement material;
the method specifically comprises the following steps:
s221: scoring the label of each advertisement material;
for example, by drawing up industry experience, experts recommend that expert scoring be performed for each tag. Dividing the weight of each label, scoring the weight of each label, and calculating the weight value of each label
In some embodiments, the scoring results are summed, and the ratio of the current score of each label to the scoring results sum is the weight of each label.
For example, the scoring results and the label weight calculation results are shown in Table 2,
TABLE 2 scoring results and tag weight calculation results
Label (R) | Score (full score 100) | Weight (score/sum of scores) | Score |
Label | |||
1 | 100 | 0.344827586 | 290 |
|
100 | 0.344827586 | 290 |
Label 3 | 60 | 0.206896552 | 290 |
Label 4 | 30 | 0.103448276 | 290 |
S222: obtaining a weight vector according to a scoring result;
in some embodiments, a total scoring result is obtained, a ratio of the current score of each label to the total scoring result is a weight of each label, and a weight vector is obtained according to the weight of each label.
S223: and calculating label consistency among advertisement materials according to the weight vector of each label.
In some embodiments, calculating a label affinity between advertisement materials based on the weight vector of each label comprises:
s2231: acquiring a label consistency degree vector between two labels;
in some embodiments, obtaining a tag agreement vector between two tags comprises:
if the two tags are the same, the corresponding tag consistency degree vector value is 0, if the two tags are different, the corresponding tag consistency degree vector value is 1, in some embodiments, if the advertisement material has no tag, special identification processing is performed, and the tag consistency degree vector value obtained after comparing any tag with the special identification is 1.
The label consistency vector is shown in table 3 and table 4,
TABLE 3 Label degree of fusion vector 1
TABLE 4 Label degree of fusion vector 2
| Label | 1 | |
Label 3 | Label 4 |
Material A | Video | | Star | 1 | High strength |
Material B | Picture frame | Electronic commerce | Star 3 | Weak (weak) | |
Label degree of |
1 | 1 | 1 | 1 |
S2232: and performing dot multiplication on the weight vector of the label and the corresponding label consistency degree vector to obtain the label consistency degrees among the advertisement materials.
S23: acquiring a client appeal, and acquiring data consistency according to the client appeal;
in some embodiments, deriving data consistency from customer appeal includes:
s231: analyzing the advertisement material label corresponding to the client appeal;
s232: comparing the plurality of advertisement material labels with advertisement material labels corresponding to the customer complaints,
s233: and obtaining the data consistency according to the comparison result.
Specifically, obtaining the data consistency according to the comparison result includes:
s2331: if any label of the advertisement material is the same as the label of the advertisement material corresponding to the customer complaint, the corresponding data consistency value is 0;
s2332: otherwise, the corresponding data consistency value is 1.
For example: a client explicitly indicates that the advertisement material a cannot be played adjacent to the material with the label 2 being an e-commerce, and the known material B is an e-commerce, so that according to the client's needs: the material a and the material B cannot be played adjacently. The result of the digitization is that the value of the matching degree of the material A and the material B is 0.
S24: calculating comprehensive consistency according to the label consistency and the data consistency;
the comprehensive consistency degree can be obtained by multiplying the label consistency degree and the data consistency degree, and when the label consistency degree and the data consistency degree are expressed in a matrix form, the comprehensive consistency degree is obtained by calculating a Hadamard product according to the label consistency degree matrix and the data consistency degree matrix.
For example, tag consistency is shown in Table 5,
TABLE 5 degree of tag fusion
For example, the data consistency is shown in Table 6,
TABLE 6 data Harmony
Material A | Material B | Material C | Material D | Material E | Material F | |
Material A | 0 | 0 | 1 | 1 | 1 | 1 |
Material B | 0 | 0 | 1 | 1 | 1 | 1 |
|
1 | 1 | 0 | 1 | 1 | 1 |
|
1 | 1 | 1 | 0 | 1 | 1 |
|
1 | 1 | 1 | 1 | 0 | 1 |
|
1 | 1 | 1 | 1 | 1 | 0 |
The comprehensive degree of fusion calculated from the label degree of fusion and the data degree of fusion is shown in table 7,
TABLE 7 comprehensive degree of fusion
S25: constructing a undirected weighted material relation graph by taking the advertisement material as a vertex and taking the comprehensive consistency degree as a weight edge;
the method comprises the steps of regarding advertisement materials as vertexes, calculating label consistency degrees between every two advertisement materials according to labels and label weights of the advertisement materials, obtaining client appeal data consistency degrees between every two advertisement materials, calculating the data consistency degrees and label consistency degree values according to a certain proportion to obtain only one comprehensive consistency degree value between the vertexes of the two materials, and constructing a undirected weighted material relation graph by taking the comprehensive consistency degrees as weight edges.
Undirected weighted material relationship graph as shown in figure 3,
in some embodiments, after the constructing the undirected weighted material relationship graph, the method further includes:
and removing the weight edges of which the weights are smaller than a preset threshold value in the undirected weighted material relation graph so as to improve the average value of the comprehensive consistency degree between the vertexes of the advertisement materials in the undirected weighted material relation graph.
The threshold value can be set according to the standard empirical value of the label degree of consistency, calculate the label between all materials and melt the degree of consistency after, count out the quantity that the label degree of consistency is less than the standard empirical value of the label degree of consistency, sort the weight of label, it is less to get the weight, and quantity is less for the weight value that the label degree of consistency is less than the quantity of the standard empirical value of label degree of consistency to add and calculate, will calculate the weight value sum as the threshold value, perhaps, will calculate the weight value sum after multiplying the coefficient as the threshold value.
The undirected weighted material relationship graph with higher average value of the comprehensive consistency degrees is obtained by removing the weight edges with weights smaller than the preset threshold in the undirected weighted material relationship graph as shown in fig. 4.
S26: judging whether the undirected weighted material relation graph is a Hamilton graph or not;
s27: if yes, calculating a Hamiltonian loop of the Hamiltonian graph;
s28: the playing sequence of the plurality of advertisement materials is determined according to the Hamiltonian loop.
For example, the obtained hamiltonian is shown in fig. 5, wherein one hamiltonian loop is a-F-B-C-D-E, and the advertisement material is displayed in the order of advertisement material a-advertisement material F-advertisement material B-advertisement material C-advertisement material D-advertisement material E. It should be noted that, in the present application, a split-up is only performed by taking one of the nodes in one of the hamiltonian loops as a starting point, and a split-up anywhere in the hamiltonian loop is a playlist of the secondary device in the time period.
S29: and presetting a gasket material library, and if the undirected weighted material relation graph is not a Hamilton graph, acquiring gasket materials from the gasket material library according to preset rules and embedding the gasket materials into the undirected weighted material relation graph so as to enable the undirected weighted material relation graph to become the Hamilton graph.
The preset rule is, for example, sequential selection or random selection, and after one of the gasket materials is selected, whether the gasket material forms the hamiltonian is judged again, if the gasket material does not form the hamiltonian, the gasket material is abandoned, and the next gasket material is selected continuously until the hamiltonian is formed.
If the undirected weighted material relationship graph is not a hamiltonian graph, the material and label relationships are shown in table 8,
table 8 second label table
| Label | 1 | |
Label 3 | Label 4 |
Material A | Video | | Star | 1 | High strength |
Material B | Picture frame | Electronic commerce | Star 3 | Weak (weak) | |
Material C | Video | Recruitment | Is free of | Weak (weak) | |
Material D | Video | | Star | 2 | Weak (weak) |
Material E | Picture frame | Electronic commerce | Is free of | High strength | |
Material F | | Recruitment | Star | 1 | Weak (weak) |
The expert scoring results and the weight calculation results are shown in table 9,
TABLE 9 expert scoring results and weight calculation results
The calculated second label agreement is shown in table 10,
TABLE 10 second Label compatibility
The obtained client appeal is as follows: the material a and the material B cannot be closely adjacent to each other, and the second comprehensive degree of fusion is obtained as shown in table 11,
TABLE 11 second degree of comprehensive harmony
A undirected weighted material relation graph is constructed by taking advertisement materials as vertexes and taking comprehensive consistency degrees as weighted edges, and is shown in FIG. 6.
If the consistency degrees of three labels in the 4 labels are smaller than the standard empirical value of the consistency degrees of the labels, the sum of the weight values of the three labels with smaller weight values is calculated to be 0.655172414. The threshold is set as follows: the sum of the weights is 0.655172414 1.01 0.66172413. The undirected weighted material relationship graph obtained by removing edges smaller than the threshold is shown in fig. 7.
And (3) finding that no Hamilton loop exists in the first round of calculation, and adding a gasket material 1 to obtain a third comprehensive degree of consistency.
TABLE 12 third degree of comprehensive harmony
A second round of calculation is carried out to obtain a relation graph of undirected weighted materials, as shown in fig. 8, if no Hamiltonian loop exists, a gasket material 2 is added, and the gasket materials are mutually exclusive and cannot be closely adjacent;
the third calculation is to obtain a relation graph of undirected weighted materials as shown in fig. 9, and to obtain one of the loops as shown in fig. 10 when a Hamiltonian loop is found.
In this embodiment, calculate comprehensive degree of consistency according to label degree of consistency and data degree of consistency to the advertisement material is the summit, synthesizes degree of consistency and constructs undirected weighted material relation graph for the weight limit, confirms reasonable switching order between the advertisement material according to undirected weighted material relation graph, helps promoting audience acceptance, attracts the audience to pay attention to, deepens the impression, and helping hand brand propagates.
An embodiment of the present invention provides a carousel advertisement sorting device, as shown in a functional structure diagram of fig. 11, where the carousel advertisement sorting device includes:
a first obtaining module 111, configured to obtain multiple advertisement materials that need to be played in the same time period, where the multiple advertisement materials include tags;
a calculating module 112, configured to calculate tag consistency between advertisement materials according to the tag of each advertisement material;
the second obtaining module 113 is configured to obtain a client appeal, and obtain data consistency according to the client appeal;
a confirming module 114, configured to determine a playing sequence of the multiple advertisement materials according to the tag consistency degree and the data consistency degree.
In some embodiments, the carousel advertisement sequencing device further includes:
the system comprises a tag module, a display module and a display module, wherein the tag module is used for performing tag printing operation on a plurality of advertisement materials needing to be played in the same time period;
the scoring module is used for scoring each label;
the client appeal module is used for acquiring client appeal by a user and obtaining data consistency according to the client appeal;
and the composition module is used for constructing a undirected weighted material relation graph by taking the advertisement materials as vertexes and taking the comprehensive consistency degree as a weight edge.
The Hamilton loop calculation module is used for calculating a Hamilton loop according to the Hamilton graph;
and the supplementary material module is used for acquiring the gasket material from the gasket material library and embedding the gasket material into the undirected weighted material relation graph if the undirected weighted material relation graph is not a Hamilton graph.
In some embodiments, the carousel advertisement sequencing device is arranged in the elevator advertisement playing equipment, and the audience attention of the elevator advertisement playing equipment is high, so that the brand spreading is facilitated further.
In the embodiment, a first obtaining module obtains a plurality of advertisement materials to be played in the same time period, the advertisement materials comprise tags, a calculating module calculates tag consistency degrees among the advertisement materials according to the tags of each advertisement material, a second obtaining module obtains client appeal, and data consistency degrees are obtained according to the client appeal; the confirmation module confirms the broadcast order of a plurality of advertisement materials according to label degree of agreeing and data degree of agreeing, not only can satisfy the clear exclusive demand of customer according to customer's appeal to can sort in the initiative according to label degree of agreeing and data degree of agreeing, attract audience's concern, promote advertisement broadcast effect.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional component mode. The integrated module, if implemented in the form of a software functional component and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
It should be noted that the present invention is not limited to the above-mentioned preferred embodiments, and those skilled in the art can obtain other products in various forms without departing from the spirit of the present invention, but any changes in shape or structure can be made within the scope of the present invention with the same or similar technical solutions as those of the present invention.
Claims (10)
1. A method for ordering a carousel advertisement, comprising:
acquiring a plurality of advertisement materials needing to be played in the same time period, wherein the advertisement materials comprise tags;
calculating label consistency among the advertisement materials according to the label of each advertisement material;
acquiring a client appeal, and acquiring data consistency according to the client appeal;
and determining the playing sequence of the plurality of advertisement materials according to the label consistency and the data consistency.
2. A method for ordering in-wheel advertising according to claim 1, wherein said determining the playing order of a plurality of advertising materials according to the label consistency and the data consistency comprises:
calculating a comprehensive consistency degree according to the label consistency degree and the data consistency degree;
constructing a undirected weighted material relation graph by taking the advertisement material as a vertex and taking the comprehensive consistency degree as a weight edge;
judging whether the undirected weighted material relation graph is a Hamilton graph or not;
if yes, calculating a Hamiltonian loop of the Hamiltonian graph;
the playing sequence of the plurality of advertisement materials is determined according to the Hamiltonian loop.
3. The method of claim 2, wherein after constructing the undirected weighted material relationship graph, the method further comprises:
and removing the weight edges of which the weights are smaller than a preset threshold value in the undirected weighted material relation graph so as to improve the average value of the comprehensive consistency degree between the vertexes of the advertisement materials in the undirected weighted material relation graph.
4. A carousel advertisement ranking method according to claim 2, further comprising:
presetting a gasket material library;
and if the undirected weighted material relation graph is not the Hamilton graph, acquiring gasket materials from the gasket material library according to a preset rule and embedding the gasket materials into the undirected weighted material relation graph so as to enable the undirected weighted material relation graph to become the Hamilton graph.
5. A method for sequencing a carousel advertisement according to claim 1, wherein the calculating a label consistency between advertisement materials according to the label of each advertisement material comprises:
scoring the label of each advertisement material;
obtaining a weight vector according to a scoring result;
and calculating label consistency among advertisement materials according to the weight vector of each label.
6. A method as claimed in claim 5, wherein said calculating label consistency between advertisement materials according to the weight vector of each label comprises:
acquiring a label consistency degree vector between two labels;
and performing dot multiplication on the weight vector of the label and the corresponding label consistency degree vector to obtain the label consistency degrees among the advertisement materials.
7. A carousel advertisement ranking method according to any one of claims 1, 5 or 6, wherein the tag comprises:
one or more of a material type, industry, speaker, customer, and visual impact effect.
8. A method for ordering in turn advertisements according to claim 1, wherein said deriving data consistency according to client appeal comprises:
analyzing the advertisement material label corresponding to the client appeal;
comparing the plurality of advertisement material labels with advertisement material labels corresponding to the customer complaints,
and obtaining the data consistency according to the comparison result.
9. The method of claim 8, wherein the obtaining data consistency according to the comparison result comprises:
if any label of the advertisement material is the same as the label of the advertisement material corresponding to the customer complaint, the corresponding data consistency value is 0;
otherwise, the corresponding data consistency value is 1.
10. A carousel advertisement ranking device, comprising:
the first acquisition module is used for acquiring a plurality of advertisement materials which need to be played in the same time period, and the advertisement materials comprise tags;
the calculation module is used for calculating label consistency among the advertisement materials according to the label of each advertisement material;
the second acquisition module is used for acquiring the client appeal and acquiring the data consistency according to the client appeal;
and the confirming module is used for determining the playing sequence of the plurality of advertisement materials according to the label consistency degree and the data consistency degree.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113888846A (en) * | 2021-09-27 | 2022-01-04 | 深圳市研色科技有限公司 | Method and device for reminding driving in advance |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102572997A (en) * | 2012-03-03 | 2012-07-11 | 南昌航空大学 | Development method of Sink nodes of mobile wireless sensor network (WSN) |
US20170013037A1 (en) * | 2013-12-06 | 2017-01-12 | Le Holdings (Beijing) Co., Ltd. | Media fragment rotation method, client and system |
CN109658158A (en) * | 2018-12-27 | 2019-04-19 | 武汉飞鹏数码有限责任公司 | A kind of advertisement intelligent sort algorithm |
CN110264269A (en) * | 2019-06-20 | 2019-09-20 | 卓尔智联(武汉)研究院有限公司 | Advertisement position recommended method, device, electronic equipment and storage medium |
CN110827077A (en) * | 2019-10-31 | 2020-02-21 | 重庆唐码传媒有限公司 | Advertisement carousel processing method |
CN111709762A (en) * | 2020-06-09 | 2020-09-25 | 上海极链网络科技有限公司 | Information matching degree evaluation method, device, equipment and storage medium |
-
2021
- 2021-04-27 CN CN202110458522.6A patent/CN113159851A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102572997A (en) * | 2012-03-03 | 2012-07-11 | 南昌航空大学 | Development method of Sink nodes of mobile wireless sensor network (WSN) |
US20170013037A1 (en) * | 2013-12-06 | 2017-01-12 | Le Holdings (Beijing) Co., Ltd. | Media fragment rotation method, client and system |
CN109658158A (en) * | 2018-12-27 | 2019-04-19 | 武汉飞鹏数码有限责任公司 | A kind of advertisement intelligent sort algorithm |
CN110264269A (en) * | 2019-06-20 | 2019-09-20 | 卓尔智联(武汉)研究院有限公司 | Advertisement position recommended method, device, electronic equipment and storage medium |
CN110827077A (en) * | 2019-10-31 | 2020-02-21 | 重庆唐码传媒有限公司 | Advertisement carousel processing method |
CN111709762A (en) * | 2020-06-09 | 2020-09-25 | 上海极链网络科技有限公司 | Information matching degree evaluation method, device, equipment and storage medium |
Non-Patent Citations (2)
Title |
---|
李德鹏 等: ""替代OSPF 协议中寻径、广告的新算法 及复杂性分析"", 《计算机工程与应用》, no. 4, pages 165 - 167 * |
李德鹏, 李德胜, 李春林: "替代OSPF协议中寻径、广告的新算法及复杂性分析", 计算机工程与应用, no. 04 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113888846A (en) * | 2021-09-27 | 2022-01-04 | 深圳市研色科技有限公司 | Method and device for reminding driving in advance |
CN113888846B (en) * | 2021-09-27 | 2023-01-24 | 深圳市研色科技有限公司 | Method and device for reminding driving in advance |
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