CN107491996B - Webpage advertisement putting method and system - Google Patents
Webpage advertisement putting method and system Download PDFInfo
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- CN107491996B CN107491996B CN201710817407.7A CN201710817407A CN107491996B CN 107491996 B CN107491996 B CN 107491996B CN 201710817407 A CN201710817407 A CN 201710817407A CN 107491996 B CN107491996 B CN 107491996B
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
Abstract
The invention relates to a webpage advertisement putting method and a system, wherein the system comprises a terminal, an advertisement server and a cloud server which are communicated with each other; the terminal comprises a keyword classification module, a keyword storage module, an account association module, a sending module and a communication module; the advertisement server comprises an advertisement space acquisition module, an account acquisition module, a local keyword acquisition module, other keyword acquisition modules, a similarity calculation module and an advertisement acquisition module; historical search keywords associated with the same account are uploaded to a cloud server, when a user browses a webpage through a terminal, the keywords stored in the local terminal of the terminal and other keywords stored in the cloud servers of other terminals can be searched and compared to obtain keywords with high similarity, then advertisements are obtained and displayed, and statistical comparison is carried out according to different keywords of the same user, so that the adaptability of the advertisements to the interest degree of the user is improved, and the economic benefit is improved.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a webpage advertisement putting method and a webpage advertisement putting system.
Background
When a user works, the user needs to use a working terminal, generally uses a mobile terminal or a family terminal in a non-working time period, and different terminals carry out searching according to keywords, the different terminals have independent historical search records, the popularization of the current webpage advertisement generally carries out recommendation and delivery of advertisements only according to cookies provided by terminal hardware, but the recommended advertisements do not represent real requirements or interesting things of the user aiming at different terminals used by the same user or different users of the same terminal, and are likely to be search cookies left by people using a certain terminal temporarily or search operation according to working requirements, so that the effect and the value of the advertisements are greatly reduced, and resources are wasted.
Disclosure of Invention
In order to solve the above problems, the present invention provides a method for delivering a web advertisement, which comprises the following specific steps:
a webpage advertisement putting method comprises the following steps:
s1, classifying the keywords of the local historical search records, setting the keywords associated with the account number as associated keywords, and uploading the associated keywords to a cloud server;
s2, after monitoring that the terminal sends a request for browsing the webpage, determining x advertisement positions in the webpage to be browsed, obtaining ID information of the terminal, and obtaining ID terminal account information;
s3, searching the keywords of the historical search records, acquiring n local keywords which are ranked first within a preset time period, then acquiring other keywords which are ranked first within the preset time period of the same account on the cloud server, wherein the other keywords are related keywords sent by other servers or mobile terminals, forming a keyword set by the n other keywords, and carrying out S4; wherein n is a positive integer greater than x;
s4, comparing the n local keywords with the keyword set respectively, calculating the similarity, selecting m local keywords with the similarity larger than a preset threshold value a, and carrying out the step S5;
and S5, acquiring corresponding x keywords relevant advertisements, and putting the advertisements on the advertisement space for display.
The keywords associated with the account number can be keywords searched for in a login state of a certain service, or a common account of the terminal can be judged according to a history record, and the searched keywords are associated with the account number by default; the associated keywords may be keywords generated by one service, and keywords generated by a plurality of services, such as Baidu, Taobao, Tianmao, Taodao, and the like, may be synthesized to associate accounts of different services of the user, and summarize all associated keywords for intelligent statistics.
Historical search keywords associated with the same account are uploaded to a cloud server, when a user browses a webpage through a terminal, the keywords stored on the local keyword of the terminal and other keywords stored on cloud servers of other terminals can be searched and compared to obtain keywords with higher similarity, then advertisements are obtained and displayed, and statistical comparison is carried out according to different keywords of the same user, so that the adaptability of the advertisements and the interest degree of the user is greatly improved, the probability of clicking the advertisements is improved, and the economic benefit is improved.
Further, obtaining local keywords, and sorting according to the sequence of the weighted values Q from small to large, wherein Q is e A-B, and A is the time interval between the last search time of the keywords and the current time; b is the sum of the occurrence times of the key words in a preset time interval; and e and b are both preset coefficients.
Comprehensive measurement is carried out on the occurrence frequency and the occurrence time of the keywords to obtain reasonable weight values, different numerical values of e and b coefficients can be set according to different requirements, keyword sequencing with higher practicability and pertinence is obtained, and the accuracy of advertisement putting is improved.
Further, the other keywords are obtained and sorted according to the sequence of the weighted values W from large to small, wherein W is c + B + D, and D is the sum of the number of the keywords in the classification of the keywords in the preset time period; c and d are both preset coefficients.
For other keywords, the weight values obtained by the other keywords are obtained according to the occurrence times and the proximity degree of the core interest classification of the user, the obtained other keywords can better indicate the core interest classification and the keywords of the user within a certain period of time, more exact content comparison with the real interest of the user is provided for the selection of the local keywords, and the obtained advertisement further has higher accuracy between the actual interest points or requirements of the user.
Further, S5 is mainly composed of the following steps:
s201, judging the value of m, and if m is equal to 0, performing a step S202;
s202, obtaining an internet surfing time period, judging whether the current internet surfing time period belongs to the working time of a working day, and if so, performing the step S203; if the judgment result is 'no', the step S204 is carried out;
s203, selecting y other keywords from the first n other keywords, searching x keywords related advertisements corresponding to the keywords according to the other keywords, and putting the advertisements to advertisement positions for displaying;
s204, selecting y local keywords from the first n local keywords, searching x keywords related advertisements corresponding to the keywords according to the local keywords, and delivering the advertisements to an advertisement space for displaying, wherein y is larger than or equal to x.
When the set formed by the local keywords and other keywords does not have the keywords with similarity higher than a, if the set is the working time, other keywords are extracted for advertisement screening, if the working time is the rest time, the local keywords are extracted for advertisement screening, and the proper keywords are selected according to the internet surfing time of the user, so that the problem that the traditional advertisement is put, only the ID of the terminal is identified, and the put advertisement is not the content really interested by the user is solved.
Further, the step of S5 further includes the steps of:
s201, when judging that 0 is less than m and less than y, performing S205, and when judging that y is less than m, performing S207;
s205, obtaining the Internet surfing time period, judging whether the current Internet surfing time period belongs to the working time of a working day, and if so, performing S206; if the judgment result is 'no', the step S204 is carried out;
s206, selecting y-m other keywords different from the m local keywords from the first n other keywords, searching x keywords relevant advertisements corresponding to the keywords according to the m local keywords and the y-m other keywords, and putting the advertisements to an advertisement space for displaying;
s207, selecting y local keywords from the m local keywords, searching x keywords related advertisements corresponding to the keywords according to the local keywords, and putting the advertisements to an advertisement space for displaying.
Further, the step of S5 further includes the steps of:
s301, obtaining key popularization advertisements, and displaying the key popularization advertisements and the advertisements related to the keywords on the advertisement positions in a rotation mode according to a preset display time ratio.
The key promotion advertisements and the advertisements related to the keywords are reasonably distributed, so that the commercial benefit maximization is achieved.
The invention also provides a webpage advertisement putting system, which comprises a terminal, an advertisement server and a cloud server which are communicated with each other; the terminal comprises a keyword classification module, a keyword storage module, an account association module, a sending module and a communication module; the advertisement server comprises an advertisement space acquisition module, an account acquisition module, a local keyword acquisition module, other keyword acquisition modules, a similarity calculation module and an advertisement acquisition module;
the keyword classification module is used for recording keywords when the terminal searches, classifying the keywords and sending the classified keywords to the keyword storage module;
the account number association module is used for acquiring account number information of local login, marking keywords searched in the account number login state, associating the keywords with the login account number to form associated keywords, and sending the associated keywords to the keyword storage module for storage;
the keyword storage module is used for receiving and storing the keywords;
the sending module is used for extracting the associated keywords and sending the associated keywords to the cloud server;
the communication module is used for sending a webpage browsing request to the advertisement server, wherein the webpage browsing request comprises the ID information of the terminal;
the cloud server is used for establishing account information, receiving and storing associated keywords associated with the account;
the advertisement space acquisition module is used for receiving a webpage browsing request sent by the communication module, determining x advertisement spaces in a webpage to be browsed and sending an acquisition instruction to the account acquisition module;
the account number acquisition module is used for receiving the acquisition instruction, acquiring ID terminal account number information according to the terminal ID, and then sending the acquisition instruction to the local keyword acquisition module;
the local keyword acquisition module is used for receiving the acquisition instruction, searching the keywords stored in the keyword storage module, acquiring the first n ordered local keywords in a preset time period, and then sending the acquisition instruction to the other keyword acquisition module;
the other keyword acquisition module is used for receiving the acquisition instruction, searching the associated keywords stored on the cloud server, acquiring other keywords which are n-th-order keywords in the preset time period of the same account, forming a keyword set by the n other keywords, and then sending a calculation instruction to the similarity calculation module, wherein the other keywords are the associated keywords sent by other servers or mobile terminals;
the similarity calculation module is used for receiving a calculation instruction, comparing the n local keywords with the keyword set respectively, calculating the similarity, selecting the local keywords with the similarity larger than a preset threshold value, and then sending an advertisement acquisition instruction to the advertisement acquisition module;
and the advertisement acquisition module is used for receiving the advertisement acquisition instruction, searching corresponding x advertisements according to the keywords, putting the advertisements to corresponding advertisement positions and displaying the advertisements together with the webpage.
Historical search keywords associated with the same account are uploaded to a cloud server, when a user browses a webpage through a terminal, the keywords stored on the local keyword of the terminal and other keywords stored on cloud servers of other terminals can be searched and compared to obtain keywords with higher similarity, then advertisements are obtained and displayed, and statistical comparison is carried out according to different keywords of the same user, so that the adaptability of the advertisements and the interest degree of the user is greatly improved, the probability of clicking the advertisements is improved, and the economic benefit is improved.
Further, obtaining local keywords, and sorting according to the sequence of the weighted values Q from small to large, wherein Q is e A-B, and A is the time interval between the last search time of the keywords and the current time; b is the sum of the occurrence times of the key words in a preset time interval; e and b are both preset coefficients;
obtaining other keywords, and sequencing the keywords according to the sequence of the weighted values W from large to small, wherein W is c, B and D, and D is the sum of the number of the keywords in the classification of the keywords in a preset time period; c and d are both preset coefficients.
And the keyword selection rule is reasonably set, so that the similarity between the obtained keywords and the real requirements of the user is improved to the maximum extent, and the advertisement economic benefit is maximized.
Furthermore, the advertisement acquisition module comprises an internet access time interval judgment sub-module, an m value judgment sub-module, a first advertisement acquisition sub-module, a second advertisement acquisition sub-module, a third advertisement acquisition sub-module and a fourth advertisement acquisition sub-module;
the internet surfing time interval judging submodule is used for receiving the advertisement obtaining instruction, obtaining the internet surfing time interval, judging whether the current internet surfing time interval belongs to the working time of a working day, sending a judging instruction to the m value judging submodule when the judging result is 'yes', and sending a first advertisement obtaining instruction to the first advertisement obtaining submodule when the judging result is 'no';
the m value judgment submodule is used for receiving the judgment instruction, judging the m value and sending a second acquisition instruction to the second advertisement acquisition submodule when m is judged to be 0; when m is larger than 0 and smaller than y, a third advertisement obtaining instruction is sent to a third advertisement obtaining submodule; when y is judged to be less than m, a fourth advertisement obtaining instruction is sent to a fourth advertisement obtaining submodule;
the first advertisement acquisition sub-module is used for receiving a first advertisement acquisition instruction, selecting y local keywords from the first n local keywords, searching x keywords related advertisements corresponding to the keywords according to the local keywords, and delivering the advertisements to an advertisement space for display, wherein y is more than or equal to x;
the second advertisement acquisition sub-module is used for receiving a second advertisement acquisition instruction, selecting y other keywords from the first n other keywords, searching x keywords related advertisements corresponding to the keywords according to the other keywords, and putting the advertisements to an advertisement space for displaying;
the third advertisement acquisition sub-module is used for receiving a third advertisement acquisition instruction, selecting y-m other keywords different from the m local keywords from the first n other keywords, searching x keywords related advertisements corresponding to the keywords according to the m local keywords and the y-m other keywords, and putting the advertisements to an advertisement space for display;
and the fourth advertisement acquisition sub-module is used for receiving a fourth advertisement acquisition instruction, selecting y local keywords from the m local keywords, searching x keywords related advertisements corresponding to the keywords according to the local keywords, and delivering the advertisements to the advertisement space for displaying.
According to the internet surfing time of the user, the appropriate keywords are selected, and the problem that the traditional advertisement is put, only the ID of the terminal is identified, and therefore the put advertisement is not the content really interested by the user is solved.
Furthermore, the advertisement acquisition module also comprises a key promotion advertisement acquisition submodule, a time setting submodule and a rotation submodule;
the similarity calculation module is also used for sending an acquisition instruction to the key promotion advertisement acquisition submodule;
the key promotion advertisement acquisition sub-module is used for receiving the acquisition instruction, acquiring x key promotion advertisements and sending a setting instruction to the time setting sub-module;
the time setting submodule is used for receiving a setting instruction, setting the display time ratio of the key promotion advertisements and the advertisements related to the keywords, and then sending a rotation instruction to the rotation submodule;
and the rotation submodule is used for receiving the rotation instruction and alternately displaying the key promotion advertisements and the advertisements related to the keywords according to the display time ratio. The key promotion advertisements and the advertisements related to the keywords are reasonably distributed, so that the commercial benefit maximization is achieved.
According to the webpage advertisement putting method and system, historical search keywords associated with the same account are uploaded to the cloud server, when a user browses a webpage through a terminal, the local keywords of the terminal and other keywords stored in the cloud server of other terminals can be searched and compared, the local keywords with higher preference trend similarity displayed integrally with the other keywords are obtained, then the advertisement is obtained and displayed, statistical comparison is carried out according to different keywords of the same user, the adaptability of the advertisement to the interest degree of the user is greatly improved, the advertisement clicking probability is improved, and the economic benefit generated by the advertisement is greatly improved.
Drawings
FIG. 1 is a flowchart of a method for delivering a web advertisement according to embodiment 1;
FIG. 2 is a flowchart of a web advertisement delivery method according to embodiment 2;
FIG. 3 is a diagram showing the connection relationship between each component and module of the web advertisement delivery system in the embodiment 3;
fig. 4 is a connection relationship diagram between sub-modules in an advertisement acquisition module of the web advertisement delivery system according to embodiment 4.
Detailed Description
The invention is further described with reference to the following figures and examples, which are provided for the purpose of illustrating the general inventive concept and are not intended to limit the scope of the invention.
Example 1
A method for delivering a web advertisement, as shown in fig. 1, includes the following steps:
s1, classifying the keywords of the local historical search records, setting the keywords associated with the account number as associated keywords, and uploading the associated keywords to a cloud server;
s2, after monitoring that the terminal sends a request for browsing the webpage, determining x advertisement positions in the webpage to be browsed, obtaining ID information of the terminal, and obtaining ID terminal account information;
s3, searching the keywords of the historical search records, acquiring n local keywords which are ranked first within a preset time period, then acquiring other keywords which are ranked first within the preset time period of the same account on the cloud server, wherein the other keywords are related keywords sent by other terminals, forming a keyword set by the n other keywords, and carrying out S4; wherein n is a positive integer greater than x;
s4, comparing the n local keywords with the keyword set respectively, calculating the similarity, selecting local keywords with the similarity being larger than a preset threshold value, and carrying out the step S5;
and S5, acquiring corresponding x keywords relevant advertisements, and putting the advertisements on the advertisement space for display.
Obtaining local keywords, and sequencing according to the sequence of the weighted values Q from small to large, wherein Q is e A-B B, and A is the time interval between the last search time of the keywords and the current time; b is the sum of the occurrence times of the key words in a preset time interval; e and b are both preset coefficients; obtaining other keywords, and sequencing the keywords according to the sequence of the weighted values W from large to small, wherein W is c, B and D, and D is the sum of the number of the keywords in the classification of the keywords in a preset time period; c and d are both preset coefficients.
The account information may be account information of a single service, may be the same account information of a plurality of services, or may be account information of a plurality of services that are different, but different accounts belong to the same user.
The method comprises the steps of obtaining account information according to an ID of a terminal, obtaining the first n local keywords obtained according to a weight value Q in a local historical record of the terminal, obtaining the first n other keywords obtained according to a weight value W according to a cloud server, comparing the keywords to obtain the local keywords with higher preference trend similarity displayed by the other keywords integrally, obtaining and releasing advertisements according to the local keywords, and greatly improving the association degree between the advertisements and users instead of the advertisements obtained by only associating terminal hardware.
The local keywords are measured according to the occurrence frequency and the occurrence time; other keywords are measured according to the occurrence frequency and the relation between the keywords and the core interested categories of the user in a certain period of time; different coefficient values can be set according to different requirements to obtain reasonable weight values, other keywords represent the overall trend and direction of the content really interested by the user, local keywords are closer to the real state, the obtained keywords integrate the coincidence of the real state and the interest after the two keywords are compared with each other, and advertisements obtained according to the keywords have higher accuracy between the advertisements and the actual interest points or requirements of the user.
Example 2
A web advertisement delivery method, which is different from embodiment 1 in that, as shown in fig. 2, S5 includes the following steps:
s201, judging the value of m, if m is 0, performing a step S202, if 0 < m < y, performing a step S205, and if y < m, performing a step S207;
s202, obtaining an internet surfing time period, judging whether the current internet surfing time period belongs to the working time of a working day, and if so, performing the step S203; if the judgment result is 'no', the step S204 is carried out;
s203, selecting y other keywords from the first n other keywords, searching x keywords related advertisements corresponding to the keywords according to the other keywords, and putting the advertisements to advertisement positions for displaying;
s204, selecting y local keywords from the first n local keywords, searching x keywords related advertisements corresponding to the keywords according to the local keywords, and delivering the advertisements to an advertisement space for displaying, wherein y is more than or equal to x;
s205, obtaining the Internet surfing time period, judging whether the current Internet surfing time period belongs to the working time of a working day, and if so, performing S206; if the judgment result is 'no', the step S204 is carried out;
s206, selecting y-m other keywords different from the m local keywords from the first n other keywords, searching x keywords relevant advertisements corresponding to the keywords according to the m local keywords and the y-m other keywords, and putting the advertisements to an advertisement space for displaying;
s207, selecting y local keywords from the m local keywords, searching x keywords related advertisements corresponding to the keywords according to the local keywords, and putting the advertisements to an advertisement space for displaying;
s301, obtaining key popularization advertisements, and displaying the key popularization advertisements and the advertisements related to the keywords on the advertisement positions in a rotation mode according to a preset display time ratio.
The process of acquiring the keywords is further refined, when m is 0, the similarity between the local keywords and other keywords is low, the internet surfing time is judged, if the similarity is working time, the terminal corresponding to the local keywords is a working terminal, the difference between the search and the life in the working process is large, and at the moment, other keywords are extracted to search and deliver advertisements, so that the real requirements of the user can be met better; otherwise, local keywords are extracted to search and launch the advertisement, and proper keywords are selected according to the internet surfing time of the user, so that the problem that the launched advertisement is not the content really interested by the user because the ID of the terminal is only identified in the traditional advertisement launching is solved.
Example 3
A web advertisement delivery system, as shown in fig. 3, includes a terminal 1, an advertisement server 2 and a cloud server 3, which are in communication with each other; the terminal 1 comprises a keyword classification module 301, a keyword storage module 302, an account association module 303, a sending module 304 and a communication module 305; the advertisement server 2 includes an advertisement slot obtaining module 306, an account number obtaining module 307, a local keyword obtaining module 308, an other keyword obtaining module 309, a similarity calculating module 310, and an advertisement obtaining module 311;
a keyword classification module 301, configured to record keywords during search, classify the keywords, and send the classified keywords to a keyword storage module 302;
the account association module 303 is configured to acquire account information of local login, mark a keyword searched in an account login state, associate the keyword with a login account, form an associated keyword, and send the associated keyword to the keyword storage module 302 for storage;
a keyword storage module 302, configured to receive and store a keyword;
a sending module 304, configured to extract the associated keywords, and send the extracted associated keywords to the cloud server 3;
a communication module 305, configured to send a web browsing request to the advertisement server 2, where the web browsing request includes ID information of the terminal 1;
the cloud server 3 is used for establishing account information, receiving and storing associated keywords associated with the account;
an advertisement space obtaining module 306, configured to receive a web page browsing request from the communication module 305, determine x advertisement spaces in a web page to be browsed, and send an obtaining instruction to the account obtaining module 307;
an account acquisition module 307, configured to receive an acquisition instruction, acquire ID terminal 1 account information according to the terminal 1ID, and then send the acquisition instruction to the local keyword acquisition module 308;
the local keyword acquisition module 308 is configured to receive an acquisition instruction, search for keywords stored in the keyword storage module 302, acquire n top-ranked local keywords within a preset time period, and then send an acquisition instruction to the other keyword acquisition module 309;
the other keyword acquisition module 309 is configured to receive an acquisition instruction, search for associated keywords stored in the cloud server 3, acquire n top-ranked other keywords within a preset time period of the same account, form a keyword set with the n other keywords, and then send a calculation instruction to the similarity calculation module 310, where the other keywords are associated keywords sent by other servers or the mobile terminal 1;
the similarity calculation module 310 is configured to receive a calculation instruction, compare the n local keywords with the keyword set, calculate a similarity, select a local keyword with a similarity greater than a preset threshold, and send an advertisement acquisition instruction to the advertisement acquisition module 311;
and the advertisement acquisition module 311 is configured to receive an advertisement acquisition instruction, search for x corresponding advertisements according to the keyword, deliver the advertisements to corresponding advertisement slots, and display the advertisements together with the web page.
The local keywords are obtained and sorted according to the sequence of the weighted values Q from small to large, wherein Q is e A-B B, and A is the time interval between the last search time of the keywords and the current time; b is the sum of the occurrence times of the key words in a preset time interval; e and b are both preset coefficients; obtaining other keywords, and sequencing the keywords according to the sequence of the weighted values W from large to small, wherein W is c, B and D, and D is the sum of the number of the keywords in the classification of the keywords in a preset time period; c and d are both preset coefficients.
The method comprises the steps of obtaining account information according to an ID of a terminal, obtaining the first n local keywords obtained according to a weight value Q in a local historical record of the terminal, obtaining the first n other keywords obtained according to a weight value W according to a cloud server, comparing the keywords to obtain the local keywords with higher preference trend similarity displayed by the other keywords integrally, obtaining and releasing advertisements according to the local keywords, and greatly improving the association degree between the advertisements and users instead of the advertisements obtained by only associating terminal hardware.
Example 4
A web page advertisement delivery system, which is different from embodiment 3 in that, as shown in fig. 4, further limited, the advertisement obtaining module 311 further includes an internet access time period judging sub-module 401, an m value judging sub-module 402, a first advertisement obtaining sub-module 403, a second advertisement obtaining sub-module 404, a third advertisement obtaining sub-module 405, a fourth advertisement obtaining sub-module 406, a key promotion advertisement obtaining sub-module 407, a time setting sub-module 408, and a rotation sub-module 409;
the internet access time interval judgment submodule 401 is configured to receive an advertisement acquisition instruction, acquire an internet access time interval, judge whether the current internet access time interval belongs to the working time of a working day, send a judgment instruction to the m-value judgment submodule 402 when the judgment result is yes, and send a first advertisement acquisition instruction to the first advertisement acquisition submodule 403 when the judgment result is no;
the m value judgment submodule 402 is configured to receive the judgment instruction, judge the m value, and send a second acquisition instruction to the second advertisement acquisition submodule 404 when m is judged to be 0; when m is greater than 0 and less than y, a third advertisement acquisition instruction is sent to the third advertisement acquisition submodule 405; when y is judged to be less than m, a fourth advertisement acquisition instruction is sent to the fourth advertisement acquisition submodule 406;
the first advertisement obtaining sub-module 403 is configured to receive a first advertisement obtaining instruction, select y local keywords from the first n local keywords, search x keywords corresponding to the local keywords according to the local keywords, and place x advertisements related to the local keywords in an advertisement space for display, where y is greater than or equal to x;
a second advertisement obtaining sub-module 404, configured to receive a second advertisement obtaining instruction, select y other keywords from the first n other keywords, search x keywords corresponding to the keywords according to the other keywords, and place the relevant advertisements in the advertisement space for display;
a third advertisement obtaining sub-module 405, configured to receive a third advertisement obtaining instruction, select y-m other keywords different from the m local keywords from the first n other keywords, search x keywords corresponding to the keywords according to the m local keywords and the y-m other keywords, and place the searched x keywords in an advertisement space for display;
and a fourth advertisement obtaining sub-module 406, configured to receive a fourth advertisement obtaining instruction, select y local keywords from the m local keywords, search x keywords corresponding to the keywords according to the local keywords, and deliver the searched advertisements to the advertisement space for display.
The similarity calculation module 310 is further configured to send an acquisition instruction to the key promotion advertisement acquisition sub-module 407;
the key promotion advertisement acquisition sub-module 407 is configured to receive the acquisition instruction, acquire x key promotion advertisements, and send a setting instruction to the time setting sub-module 408;
the time setting submodule 408 is configured to receive a setting instruction, set a display time ratio of the key promotion advertisement to the advertisement related to the keyword, and then send a rotation instruction to the rotation submodule 409;
and the rotation submodule 409 is used for receiving a rotation instruction and alternately displaying the key promotion advertisements and the advertisements related to the keywords according to the display time ratio.
The process of acquiring the keywords is further refined, when m is 0, the similarity between the local keywords and other keywords is low, the internet surfing time is judged, if the similarity is working time, the terminal corresponding to the local keywords is a working terminal, the difference between the search and the life in the working process is large, and at the moment, other keywords are extracted to search and deliver advertisements, so that the real requirements of the user can be met better; otherwise, local keywords are extracted to search and launch the advertisement, and proper keywords are selected according to the internet surfing time of the user, so that the problem that the launched advertisement is not the content really interested by the user because the ID of the terminal is only identified in the traditional advertisement launching is solved.
The key promotion advertisements and the advertisements related to the keywords are reasonably distributed, so that the commercial benefit maximization is achieved.
Claims (6)
1. A webpage advertisement putting method is characterized by comprising the following steps:
s1, classifying the keywords of the local historical search records, setting the keywords associated with the account number as associated keywords, and uploading the associated keywords to a cloud server;
s2, after monitoring that a terminal sends a request for browsing the webpage, determining x advertisement positions in the webpage to be browsed, obtaining ID information of the terminal, and obtaining account information of the terminal;
s3, searching the keywords of the historical search records, acquiring n local keywords which are ranked first within a preset time period, then acquiring n other keywords which are ranked first within the preset time period of the same account on the cloud server, wherein the other keywords are related keywords sent by other terminals, forming a keyword set by the n other keywords, and carrying out S4; wherein n is a positive integer greater than x;
s4, comparing the n local keywords with the keyword set respectively, calculating the similarity, selecting m local keywords with the similarity larger than a preset threshold value a, and carrying out the step S5;
s5, acquiring corresponding x keywords relevant advertisements, and putting the advertisements on advertisement positions for display;
s5 is mainly composed of the following steps:
s201, judging the value of m, and if m is equal to 0, performing a step S202;
s202, obtaining an internet surfing time period, judging whether the current internet surfing time period belongs to the working time of a working day, and if so, performing the step S203; if the judgment result is 'no', the step S204 is carried out;
s203, selecting y other keywords from the first n other keywords, searching x keywords related advertisements corresponding to the keywords according to the other keywords, and putting the advertisements to advertisement positions for displaying;
s204, selecting y local keywords from the first n local keywords, searching x keywords related advertisements corresponding to the keywords according to the local keywords, and delivering the advertisements to an advertisement space for displaying, wherein y is more than or equal to x; the step of S5 further includes the steps of:
s201, when judging that m is greater than 0 and less than y, performing S205, and when judging that y is less than m, performing S207;
s205, obtaining the Internet surfing time period, judging whether the current Internet surfing time period belongs to the working time of a working day, and if so, performing S206; if the judgment result is 'no', the step S204 is carried out;
s206, selecting y-m other keywords different from the m local keywords from the first n other keywords, searching x keywords relevant advertisements corresponding to the keywords according to the m local keywords and the y-m other keywords, and putting the advertisements to an advertisement space for displaying;
s207, selecting y local keywords from the m local keywords, searching x keywords related advertisements corresponding to the keywords according to the local keywords, and putting the advertisements to an advertisement space for displaying.
2. The method for delivering web advertisements according to claim 1, wherein the local keywords are obtained and sorted in descending order of a weight Q, where Q is e is a time interval between the time of the last search of the keyword and the current time; b is the sum of the times of occurrence of the keywords in a preset time interval; and e and b are both preset coefficients.
3. The web advertisement delivery method according to claim 2, wherein the other keywords are obtained and sorted in descending order of their weight values W, where W is c + B + D, where D is a sum of the number of keywords in the category where the keywords are located within a preset time period; c and d are both preset coefficients.
4. A web advertisement delivery method according to claim 1, wherein the step of S5 further comprises the steps of:
s301, obtaining key popularization advertisements, and displaying the key popularization advertisements and the advertisements related to the keywords on the advertisement positions in a rotation mode according to a preset display time ratio.
5. A webpage advertisement putting system is characterized by comprising a terminal (1), an advertisement server (2) and a cloud server (3), wherein the terminal, the advertisement server and the cloud server are in communication with each other; the terminal (1) comprises a keyword classification module (301), a keyword storage module (302), an account association module (303), a sending module (304) and a communication module (305); the advertisement server (2) comprises an advertisement space obtaining module (306), an account number obtaining module (307), a local keyword obtaining module (308), another keyword obtaining module (309), a similarity calculating module (310) and an advertisement obtaining module (311);
the keyword classification module (301) is used for recording keywords during searching of the terminal (1), classifying the keywords and sending the classified keywords to the keyword storage module (302);
the account number association module (303) is used for acquiring account number information of local login, marking keywords searched in an account number login state, associating the keywords with the login account number to form associated keywords, and sending the associated keywords to the keyword storage module (302) for storage;
the keyword storage module (302) is used for receiving and storing keywords;
the sending module (304) is used for extracting the associated keywords and sending the associated keywords to the cloud server (3);
the communication module (305) is used for sending a webpage browsing request to the advertisement server (2), wherein the webpage browsing request comprises ID information of the terminal (1);
the cloud server (3) is used for establishing account information, receiving and storing the associated keywords associated with the account;
the advertisement space acquisition module (306) is used for receiving a webpage browsing request put by the communication module (305), determining x advertisement spaces in the webpage to be browsed and sending an acquisition instruction to the account acquisition module (307);
the account number acquisition module (307) is used for receiving an acquisition instruction, acquiring account number information of the ID terminal (1) according to the ID of the terminal (1), and then sending the acquisition instruction to the local keyword acquisition module (308);
the local keyword acquisition module (308) is used for receiving an acquisition instruction, searching keywords stored in the keyword storage module (302), acquiring n top-ranked local keywords in a preset time period, and then sending the acquisition instruction to other keyword acquisition modules (309);
the other keyword acquisition module (309) is used for receiving an acquisition instruction, searching the associated keywords stored on the cloud server (3), acquiring other keywords which are n top-ranked keywords within a preset time period of the same account, forming a keyword set by the n other keywords, and then sending a calculation instruction to the similarity calculation module (310), wherein the other keywords are associated keywords sent by other servers or the mobile terminal (1);
the similarity calculation module (310) is used for receiving a calculation instruction, comparing the n local keywords with the keyword set respectively, calculating the similarity, selecting m local keywords with the similarity larger than a preset threshold value a, and then sending an advertisement acquisition instruction to the advertisement acquisition module (311);
the advertisement acquisition module (311) is used for receiving an advertisement acquisition instruction, searching x corresponding advertisements according to the keywords, putting the advertisements to corresponding advertisement positions and displaying the advertisements together with the webpage;
the local keywords are obtained and sorted according to the sequence of the weighted value Q from small to large, wherein Q is e A-B B, and A is the time interval between the last search time of the keywords and the current time; b is the sum of the times of occurrence of the keywords in a preset time interval; e and b are both preset coefficients;
the other keywords are obtained and sorted according to the sequence of the weighted values W from large to small, wherein W is c B + D, and D is the sum of the number of the keywords in the classification of the keywords in a preset time period; c and d are both preset coefficients;
the advertisement acquisition module (311) comprises an internet surfing time interval judgment submodule (401), an m value judgment submodule (402), a first advertisement acquisition submodule (403), a second advertisement acquisition submodule (404), a third advertisement acquisition submodule (405) and a fourth advertisement acquisition submodule (406);
the internet surfing time interval judging submodule (401) is used for receiving the advertisement obtaining instruction, obtaining the internet surfing time interval, judging whether the current internet surfing time interval belongs to the working time of a working day, sending a judging instruction to the m value judging submodule (402) when the judging result is 'yes', and sending a first advertisement obtaining instruction to the first advertisement obtaining submodule (403) when the judging result is 'no';
the m value judgment submodule (402) is used for receiving the judgment instruction and judging the m value, and when m is judged to be 0, a second acquisition instruction is sent to a second advertisement acquisition submodule (404); when m is larger than 0 and smaller than y, a third advertisement acquisition instruction is sent to a third advertisement acquisition submodule (405); when y is judged to be less than m, a fourth advertisement acquisition instruction is sent to a fourth advertisement acquisition submodule (406);
the first advertisement acquisition submodule (403) is used for receiving a first advertisement acquisition instruction, selecting y local keywords from the first n local keywords, searching x keywords related advertisements corresponding to the keywords according to the local keywords, and delivering the advertisements to an advertisement space for display, wherein y is larger than or equal to x;
the second advertisement acquisition sub-module (404) is used for receiving a second advertisement acquisition instruction, selecting y other keywords from the first n other keywords, searching x keywords related advertisements corresponding to the keywords according to the other keywords, and delivering the advertisements to an advertisement space for displaying;
the third advertisement acquisition sub-module (405) is used for receiving a third advertisement acquisition instruction, selecting y-m other keywords different from the m local keywords from the n previous keywords, searching x keywords related advertisements corresponding to the keywords according to the m local keywords and the y-m other keywords, and putting the advertisements to an advertisement space for display;
and the fourth advertisement acquisition sub-module (406) is used for receiving a fourth advertisement acquisition instruction, selecting y local keywords from the m local keywords, searching x keywords related advertisements corresponding to the keywords according to the local keywords, and delivering the advertisements to an advertisement space for displaying.
6. A web advertisement delivery system according to claim 5, wherein the advertisement acquisition module (311) further comprises a key promotion advertisement acquisition sub-module (407), a time setting sub-module (408) and a rotation sub-module (409);
the similarity calculation module (310) is further configured to send an acquisition instruction to a key promotion advertisement acquisition sub-module (407);
the key promotion advertisement acquisition sub-module (407) is used for receiving an acquisition instruction, acquiring x key promotion advertisements and sending a setting instruction to the time setting sub-module (408);
the time setting submodule (408) is used for receiving a setting instruction, setting the display time ratio of the key promotion advertisements and the advertisements related to the keywords, and then sending a rotation instruction to the rotation submodule (409);
and the rotation submodule (409) is used for receiving a rotation instruction and alternately displaying the key promotion advertisements and the advertisements related to the keywords according to the display time ratio.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108156241B (en) * | 2017-12-26 | 2020-11-13 | 新乡学院 | Method and system for synchronizing information of mobile client and computer network page |
| CN110020880B (en) * | 2018-01-10 | 2023-09-05 | 腾讯科技（深圳）有限公司 | Advertisement putting method, device and equipment |
| CN108960910A (en) * | 2018-06-28 | 2018-12-07 | 四川斐讯信息技术有限公司 | A kind of advertisement placement method and server |
| CN112749997B (en) * | 2018-10-11 | 2023-10-20 | 广东聚宝屋传媒有限公司 | Advertisement delivery management method and device based on express package |
| CN109767253B (en) * | 2018-11-26 | 2020-09-04 | 北京盘古影艺文化传播有限公司 | Color ring back tone advertisement pushing method and pushing system thereof |
| CN109872195A (en) * | 2019-03-08 | 2019-06-11 | 北京搜狐新媒体信息技术有限公司 | A kind of data processing method and device |
| CN111768215B (en) * | 2019-04-01 | 2023-08-11 | 百度在线网络技术（北京）有限公司 | Advertisement putting method, advertisement putting device, computer equipment and storage medium |
| CN110189160A (en) * | 2019-04-23 | 2019-08-30 | 宋高伟 | Network social intercourse, advertisement placement method and network social intercourse system based on wish |
| CN111209388B (en) * | 2019-12-25 | 2021-02-23 | 江苏艾佳家居用品有限公司 | Data processing method and device for keyword promotion page and computer equipment |
| CN114676336B (en) * | 2022-05-30 | 2022-08-23 | 深圳市海纳鑫信息科技有限公司 | Intelligent classification network search system convenient for retrieval and search |
| CN115082131B (en) * | 2022-07-26 | 2022-11-18 | 北京聚云数字信息技术有限公司 | Advertisement classification evaluation method and system |
| CN116109353B (en) * | 2022-12-12 | 2023-08-08 | 广州圆原元网络科技有限公司 | Mobile phone application store advertisement delivery management platform |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101038648A (en) * | 2006-03-17 | 2007-09-19 | 腾讯科技（深圳）有限公司 | Advertisement information launching method based on search engine and advertisement information publication server |
| CN102156721A (en) * | 2011-03-29 | 2011-08-17 | 张栋 | Method for accurately delivering Internet video advertisement based on label |
| CN106447371A (en) * | 2015-08-10 | 2017-02-22 | 北京奇虎科技有限公司 | Webpage advertisement recommendation method and device |
| CN106952112A (en) * | 2017-03-01 | 2017-07-14 | 心触动（武汉）文化传媒有限公司 | A kind of method for delivering advertisement accurately and system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101597247B1 (en) * | 2010-03-29 | 2016-02-25 | 네이버 주식회사 | System and method for exposuring advertisement based keyword in real-time |
| US20110257985A1 (en) * | 2010-04-14 | 2011-10-20 | Boris Goldstein | Method and System for Facial Recognition Applications including Avatar Support |
-
2017
- 2017-09-12 CN CN201710817407.7A patent/CN107491996B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101038648A (en) * | 2006-03-17 | 2007-09-19 | 腾讯科技（深圳）有限公司 | Advertisement information launching method based on search engine and advertisement information publication server |
| CN102156721A (en) * | 2011-03-29 | 2011-08-17 | 张栋 | Method for accurately delivering Internet video advertisement based on label |
| CN106447371A (en) * | 2015-08-10 | 2017-02-22 | 北京奇虎科技有限公司 | Webpage advertisement recommendation method and device |
| CN106952112A (en) * | 2017-03-01 | 2017-07-14 | 心触动（武汉）文化传媒有限公司 | A kind of method for delivering advertisement accurately and system |
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