CN105049895A - Advertisement launch strategy recommendation method and device - Google Patents
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- CN105049895A CN105049895A CN201510391957.8A CN201510391957A CN105049895A CN 105049895 A CN105049895 A CN 105049895A CN 201510391957 A CN201510391957 A CN 201510391957A CN 105049895 A CN105049895 A CN 105049895A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25875—Management of end-user data involving end-user authentication
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25883—Management of end-user data being end-user demographical data, e.g. age, family status or address
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
- H04N21/2668—Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/81—Monomedia components thereof
- H04N21/812—Monomedia components thereof involving advertisement data
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Abstract
The invention discloses an advertisement launch strategy recommendation method and device. The method is used for providing a launch reference strategy of an advertisement to be launched for users. The recommendation method comprises steps: search in an advertisement database arranged in advance is carried out according to keywords input by a user, and basic information of a plurality of relative advertisements are obtained and displayed for the user; the relative advertisement selected from the basic information of the plurality of relative advertisements by the user and an appointed time quantum are obtained; historical play information of the relative advertisements selected by the user recorded in the advertisement database during the appointed time quantum is obtained, and a historical play information comparison result of the relative advertisements selected by the user during the appointed time quantum is generated and provided for the user; an advertisement launch strategy suggestion is generated according to the comparison result and user identity information and provided for the user. Through the method, an advertisement launch strategy suggestion can be generated automatically, and labor and time costs for advertiser artificial statistics are saved.
Description
Technical field
The present invention relates to video field, particularly relate to a kind of recommend method and device of advertisement serving policy.
Background technology
Along with the fast development with Web TV of being on the increase in wired radio station, become by breaking for commercialsy when playing TV programme the Main Means that advertisement manufacturer promotes commodity.Compared with traditional advertising media, Internet advertising has that wide coverage, initiative and enthusiasm are strong, expense is relatively low, cost performance is high and have the advantages such as strongly interactive, and therefore, Internet advertising is also more and more subject to the favor of each company and trade company.For advertisement manufacturer, the acquisition advertisement of rival or the broadcasting situation of the advertisement relevant to the advertisement oneself wanting to throw in are very important, but due to manpower and the finiteness of fund and the magnanimity of Internet resources, obtain the advertisement putting information wanting to know very not easily.Therefore, a kind of advertisement putting situation can paid close attention to user is needed to carry out contrasting the method for statistics, to provide the input reference policy of the advertisement that will throw in user.
Summary of the invention
The invention provides a kind of recommend method and device of advertisement serving policy, for providing the input reference policy of the advertisement that will throw in user.
The recommend method of a kind of advertisement serving policy provided by the invention, comprising:
Keyword according to user's input is searched in the advertisement base pre-set, and obtains the essential information of multiple relevant advertisements and shows user; Essential information and the history broadcast information of the advertisement that several were play is recorded in described advertisement base;
Obtain the relevant advertisements that user selects in the essential information of described multiple relevant advertisements and the time period of specifying;
Obtain the history broadcast information of relevant advertisements within the described time period of specifying that the user that records in described advertisement base selects, generate history broadcast information comparing result within the described time period of specifying of relevant advertisements that described user selects and provide it to user;
The suggestion of throwing in strategy according to described comparing result and subscriber identity information generating advertisement is supplied to user.
Some beneficial effects of the embodiment of the present invention can comprise:
The keyword search relevant advertisements that the recommend method of advertisement serving policy provided by the invention inputs according to user, the history broadcast information of advertisement user paid close attention to carries out Statistical Comparison, and be supplied to user according to the suggestion of generating advertisement input strategy after comparing result, to save the cost of human resources that advertiser artificially adds up, improve it and formulate the efficiency of throwing in advertising strategy.
In one embodiment, the history broadcast information of described advertisement at least comprises: one in the broadcasting channel of advertisement, reproduction time, broadcasting time and playing duration.
In this embodiment, which platform what user can recognize that the relevant advertisements chosen specifically plays by history broadcast information comparing result is when, broadcasting time, the information such as playing duration, so that the broadcasting situation understanding concrete advertisement, thus provide certain reference for its later stage throws in advertisement.
In one embodiment, the essential information of described advertisement comprises at least one item in advertised name, classification, company, brand, industry, media categories, batch number, first broadcast time, last reproduction time, the creation-time of this essential information in described advertisement base;
The described keyword according to user's input is searched in the advertisement base pre-set, obtain the essential information of multiple relevant advertisements, comprise: the keyword of search subscriber input in the essential information of all advertisements of recording in the described advertisement base pre-set, will the essential information of essential information as relevant advertisements of the advertisement of the keyword of described user input be comprised.
In this embodiment, the essential information of advertisement covers existing advertising message substantially, only needs to carry out relevant advertisements according to essential information and search for during search, and like this, search procedure is simple, be easy to realize.
In one embodiment, before the recommend method execution of described advertisement serving policy, also comprise: crucial phrase is play at least one collocation pre-defined, at least one repels the crucial phrase of broadcasting; The crucial phrase of each described collocation broadcasting comprises the keyword in the title/company/brand message of the advertisement that the collocation of several needs is play; The crucial phrase of each described repulsion broadcasting comprises the keyword that several needs stagger in the title/company/brand message of the advertisement of playing;
Described suggestion of throwing in strategy according to described comparing result and subscriber identity information generating advertisement, comprising:
If comprise any one collocation predefined in subscriber identity information when playing a keyword in crucial phrase, advise comprising in the essential information of the relevant advertisements that the advertisement that user set and described user select the relevant advertisements that this collocation plays any one keyword in crucial phrase and play in the same channel same period;
If comprise in subscriber identity information predefined any one when repelling the keyword play in crucial phrase, advise that stagger channel or period of the relevant advertisements comprising any one keyword that this repulsion is play in crucial phrase in the essential information of the relevant advertisements that the advertisement that user set and described user select plays.
In this embodiment, play crucial phrase by the collocation pre-set and repel and play crucial phrase, can pre-define and need collocation to play or the advertisement keyword play that staggers together, thus the relevant advertisements that server can provide according to the matching result of advertisement keyword advertisement and the Statistical Comparison above user set automatically arrange in pairs or groups and is play or repel the advertisement serving policy play, this process is realized automatically by server completely, automaticity is strong, has saved to think time of named policer and human cost.
In one embodiment, described suggestion of throwing in strategy according to described comparing result and subscriber identity information generating advertisement also comprises step after being supplied to user:
According to the suggestion of described advertisement serving policy, the advertisement that user sets thrown in or throw in the advertisement of user's setting according to user according to described impression information of throwing in the suggestion feedback of strategy.
In one embodiment, the described suggestion according to described advertisement serving policy is thrown in the advertisement that user sets or is thrown in the advertisement of user's setting according to user according to described impression information of throwing in the suggestion feedback of strategy, comprising:
Judge whether to receive user according to described impression information of throwing in the suggestion feedback of strategy, if, then throw in the advertisement of user's setting according to described impression information of throwing in the suggestion feedback of strategy according to user, otherwise, the advertisement of user's setting is thrown according to the suggestion of described advertisement serving policy;
Described user at least comprises at least one item in the input channel of advertisement to be put, release time and input duration according to described impression information of throwing in the suggestion feedback of strategy.
In this embodiment, provide the suggestion of the advertisement serving policy that user provides according to server, can select to adopt server automatically to throw in or oneself arranges impression information, advertisement placement method variation.
The recommendation apparatus of a kind of advertisement serving policy provided by the invention, comprising:
First memory module, for storing the advertisement base pre-set, records essential information and the history broadcast information of the advertisement that several were play in described advertisement base;
First search module, searches for for the keyword inputted according to user, obtains the essential information of multiple relevant advertisements and send to human-computer interaction module in the advertisement base of described first memory module storage;
Human-computer interaction module, the essential information for the multiple relevant advertisements sent by described first search module shows user; Also for obtaining the relevant advertisements that user selects in the essential information of described multiple relevant advertisements and the time period of specifying, and the information of acquisition is supplied to the second search module; The suggestion of the advertisement serving policy that the history broadcast information comparing result of the relevant advertisements also selected for the described user sent by the second search module within the described time period of specifying and described suggestion module are sent is supplied to user;
Second search module, the relevant advertisements selected in the essential information of described multiple relevant advertisements for the user sent according to described human-computer interaction module and the time period of specifying, from the advertisement base that described first memory module stores, obtain the history broadcast information of relevant advertisements within the described time period of specifying that user selects and these history broadcast information are contrasted, generate comparing result and send to described human-computer interaction module, the essential information of the relevant advertisements simultaneously described user selected sends to suggestion module;
Suggestion module, the essential information generating advertisement of the relevant advertisements that the user for sending according to subscriber identity information and described second search module selects throws in the suggestion of strategy, and the suggestion of described advertisement serving policy is supplied to described human-computer interaction module.
In one embodiment, described suggestion module comprises:
Second memory module, plays crucial phrase and the crucial phrase of at least one repulsion broadcasting for storing at least one collocation predefined; The crucial phrase of each described collocation broadcasting comprises the keyword in the title/company/brand message of the advertisement that the collocation of several needs is play; The crucial phrase of each described repulsion broadcasting comprises the keyword that several needs stagger in the title/company/brand message of the advertisement of playing;
First contrast module, plays the keyword that crucial phrase and all repulsions play in crucial phrase contrast one by one for all collocation subscriber identity information and described second memory module stored; When contrasting in described subscriber identity information the keyword comprised in the crucial phrase of any one collocation broadcasting, send to the second contrast module and comprise the first contrast instruction that the mark of crucial phrase is play in this collocation matched, when contrasting in described subscriber identity information the keyword comprised in the crucial phrase of any one repulsion broadcasting predefined, sending to the 3rd contrast module and comprising the second contrast instruction that the mark of crucial phrase is play in this repulsion matched;
Second contrast module, for contrasting instruction according to receive first, the keyword that the collocation of the mark indication that the essential information and described first of the relevant advertisements that the user that sent by described second search module selects contrasts in instruction is play in crucial phrase contrasts one by one, and when matching the essential information of arbitrary relevant advertisements in the relevant advertisements that described user selects and comprising arbitrary keyword that this collocation plays in crucial phrase, generate the suggestion of the first advertisement serving policy that advertisement user set and this relevant advertisements of matching from the relevant advertisements that described user selects were play in the same channel same period,
3rd contrast module, for contrasting instruction according to receive second, the keyword that the repulsion of the mark indication that the essential information and described second of the relevant advertisements that the user that sent by described second search module selects contrasts in instruction is play in crucial phrase contrasts one by one, and when matching the essential information of arbitrary relevant advertisements in the relevant advertisements that described user selects and comprising arbitrary keyword that this repulsion plays in crucial phrase, generate advertisement user set and this relevant advertisements of matching from the relevant advertisements that described user selects to stagger the suggestion of the second advertisement serving policy that channel or period play,
Sending module, the suggestion for the suggestion of the first advertisement serving policy by described second contrast CMOS macro cell and the second advertisement serving policy of described 3rd contrast CMOS macro cell sends to described human-computer interaction module.
In one embodiment, this device also comprises putting module;
Described human-computer interaction module is also for sending to described putting module by user according to described impression information of throwing in the suggestion feedback of strategy; Described user at least comprises the input channel of advertisement to be put, release time, input duration according to described impression information of throwing in the suggestion feedback of strategy;
Described suggestion module is also for being supplied to described putting module by the suggestion of described advertisement serving policy;
Described putting module, for the suggestion of advertisement serving policy that provides according to described suggestion module or the user that sends according to described human-computer interaction module according to described impression information of throwing in the suggestion feedback of strategy, throws in the advertisement of user's setting.
In one embodiment, described putting module comprises:
Judge module, for judging whether described human-computer interaction module sends user according to described impression information of throwing in the suggestion feedback of strategy, if, then send to the first putting module and comprise described user according to described first input instruction of throwing in the impression information of the suggestion feedback of strategy, otherwise, send second to the second putting module and throw in instruction;
First putting module, for throwing in instruction according to receive first, throws in the advertisement of user's setting according to described impression information of throwing in the suggestion feedback of strategy according to described user;
Second putting module, for throwing in instruction according to receive second, the advertisement of user's setting is thrown in the suggestion of the advertisement serving policy provided according to described suggestion module.
The keyword search relevant advertisements that the recommendation apparatus of advertisement serving policy provided by the invention inputs according to user, Statistical Comparison is carried out by the history broadcast information of advertisement user paid close attention to, and be supplied to user according to the suggestion of generating advertisement input strategy after comparing result, save advertiser and artificially add up human cost and the time cost that generating advertisement throws in strategy, improve advertisement putting efficiency.
Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from specification, or understand by implementing the present invention.Object of the present invention and other advantages realize by structure specifically noted in write specification, claims and accompanying drawing and obtain.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for specification, together with embodiments of the present invention for explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
The recommend method flow chart of a kind of advertisement serving policy that Fig. 1 provides for the embodiment of the present invention;
Fig. 2 searches for for " adding treasured " according to keyword the relevant advertisements essential information displaying schematic diagram obtained in the advertisement base pre-set;
Fig. 3 is the comparing result schematic diagram obtained the history broadcast information Statistical Comparison of the advertisement selected in user's Search Results in fig. 2;
Fig. 4 is the recommend method flow chart of a kind of advertisement serving policy in the embodiment of the present invention one;
The recommendation apparatus structured flowchart of a kind of advertisement serving policy that Fig. 5 provides for the embodiment of the present invention;
Fig. 6 is the structured flowchart of suggestion module 55 in Fig. 5;
The recommendation apparatus structured flowchart of the another kind of advertisement serving policy that Fig. 7 provides for the embodiment of the present invention;
Fig. 8 is the structured flowchart of putting module 56 in Fig. 7.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein is only for instruction and explanation of the present invention, is not intended to limit the present invention.
The recommend method flow chart of a kind of advertisement serving policy that Fig. 1 provides for the embodiment of the present invention, comprises step S1-S4:
S1: the keyword according to user's input is searched in the advertisement base pre-set, and obtains the essential information of multiple relevant advertisements and shows user.Wherein, in the advertisement base pre-set, record essential information and the history broadcast information of the advertisement that several were play, and regular update advertisement base.
S2: obtain the relevant advertisements that user selects in the essential information of multiple relevant advertisements and the time period of specifying.
S3: obtain in advertisement base the history broadcast information of relevant advertisements within the time period of specifying that the user that records selects, generates history broadcast information comparing result within the time period of specifying of relevant advertisements that user selects and provides it to user;
S4: the suggestion of throwing in strategy according to comparing result and subscriber identity information generating advertisement is supplied to user.
Such as, step S1 searches for shampoo in advertisement base, the shampoo advertisement of a lot of company may be found, then search shampoo advertisement is out supplied to user by step S1, then in step S2, user have selected two advertisements of the cool shampoo of such as Head&Shoulders shampoo and Shi Hua, and specifies on May 1st, 2015 for fixed time section.Then from advertisement base, Head&Shoulders and the cool shampoo advertisement of Shi Hua that user selects is obtained in step S3 in the history broadcast information of on May 1st, 2015 this day, and the shampoo advertisement of these two brands is carried out Statistical Comparison in the history broadcast information of this day, obtain comparing result; The suggestion of strategy is thrown according to this comparing result and subscriber identity information generating advertisement: such as current user identities is Head&Shoulders producer in final step S4, the advertisement that setting is thrown in is Head&Shoulders hair conditioner, so can generate in S4 suggestion the advertisement of Head&Shoulders hair conditioner is arranged in pairs or groups with the Head&Shoulders shampoo advertisement of throwing in together with the advertisement serving policy play.
Such as, Figure 2 shows that " adding treasured " in the advertisement base pre-set according to keyword searches for the relevant advertisements essential information obtained, and as shown in downside in Fig. 2, searches three relevant advertisements; In S2, user have selected this three relevant advertisements subsequently, just be added in shown " content paid close attention to " hurdle, right side in Fig. 2 by selection relevant advertisements, it is on May 4th, 2015 that server also gets the time period that user specifies, then obtain the history broadcast information of these three relevant advertisements on May 4th, 2015 this day in step S3, and generate history broadcast information comparing result as shown in Figure 3 to user, the suggestion of advertisement serving policy can be provided subsequently according to the identity information of this comparing result and current login user.
The keyword search relevant advertisements that the recommend method of the above-mentioned advertisement serving policy that the embodiment of the present invention provides inputs according to user, the history broadcast information of advertisement user paid close attention to carries out Statistical Comparison, and be supplied to user according to the suggestion of generating advertisement input strategy after comparing result, to save the cost of human resources that advertiser artificially adds up, improve the efficiency formulated and throw in advertising strategy.
In one embodiment, the history broadcast information of advertisement at least comprises: one in the broadcasting channel of advertisement, reproduction time, broadcasting time and playing duration.Thus user can recognize that the relevant advertisements chosen specifically plays by history broadcast information comparing result is which platform, when, broadcasting time, the information such as playing duration, to understand the broadcasting situation of concrete advertisement, provide certain reference for its later stage throws in advertisement.
In one embodiment, the essential information of advertisement comprises at least one item in advertised name, classification, company, brand, industry, media categories, batch number, first broadcast time, last reproduction time, the creation-time of this essential information in advertisement base, such as, in Fig. 2 shown in Search Results part.Now search in the advertisement base pre-set according to the keyword of user's input in step S1, the method obtaining the essential information of multiple relevant advertisements is: the keyword of search subscriber input in the essential information of all advertisements of recording in the advertisement base pre-set, and will comprise the essential information of essential information as relevant advertisements of the advertisement of the keyword of user's input.Such as shown in Fig. 2, search keyword " adds treasured ", searches in advertisement base and has the Business Name of three advertisements for " adding precious group ", contain keyword and " add treasured ", therefore these three advertisements are supplied to user as relevant advertisements.In this embodiment, the essential information of advertisement covers existing advertising message substantially, only needs to carry out relevant advertisements according to essential information and search for during search, and like this, search procedure is simple, be easy to realize.
In one embodiment, before method provided by the invention performs, also step is comprised: crucial phrase is play at least one collocation pre-defined, crucial phrase is play at least one repulsion; The crucial phrase of each collocation broadcasting comprises the keyword in the title/company/brand message of the advertisement that the collocation of several needs is play; The crucial phrase of each repulsion broadcasting comprises the keyword that several needs stagger in the title/company/brand message of the advertisement of playing.Now, step S4 comprises:
If comprise any one collocation predefined in subscriber identity information when playing a keyword in crucial phrase, advise comprising in the essential information of the relevant advertisements that the advertisement that user set and user select the relevant advertisements that this collocation plays any one keyword in crucial phrase and play in the same channel same period;
If comprise in subscriber identity information predefined any one when repelling the keyword play in crucial phrase, advise that stagger channel or period of the relevant advertisements comprising any one keyword that this repulsion is play in crucial phrase in the essential information of the relevant advertisements that the advertisement that user set and user select plays.
In this embodiment, play crucial phrase by the collocation pre-set and repel and play crucial phrase, can will collocation be needed to play or the advertisement keyword grouping of playing of staggering in advance together, thus the relevant advertisements that server can provide according to the matching result of advertisement keyword advertisement and the Statistical Comparison above user set automatically arrange in pairs or groups and is play or repel the advertisement serving policy play, this process is realized automatically by server completely, automaticity is strong, has saved to think time of named policer and human cost.
Preferably, after above-mentioned steps S4, also comprise step: according to the suggestion of advertisement serving policy, the advertisement that user sets thrown in or throw in the advertisement of user's setting according to user according to the impression information of the suggestion feedback of throwing in strategy.Be described with specifically embodiment below.
Embodiment one
Fig. 4 is the recommend method flow chart of a kind of advertisement serving policy in the embodiment of the present invention one, comprising:
S41: the keyword according to user's input is searched in the advertisement base pre-set, and obtains the essential information of multiple relevant advertisements and shows user;
S42: obtain the relevant advertisements that user selects in the essential information of multiple relevant advertisements and the time period of specifying.；
S43: obtain in advertisement base the history broadcast information of relevant advertisements within the time period of specifying that the user that records selects, generates history broadcast information comparing result within the time period of specifying of relevant advertisements that user selects and provides it to user;
S44: the suggestion of throwing in strategy according to comparing result and subscriber identity information generating advertisement is supplied to user;
S45: judge whether to receive user according to the impression information of throwing in tactful suggestion feedback, if so, then perform step S46, otherwise, perform S47;
S46: the advertisement of throwing in user's setting according to user according to the impression information of the suggestion feedback of throwing in strategy; Wherein, user at least comprises at least one item in the input channel of advertisement to be put, release time and input duration according to the impression information of the suggestion feedback of throwing in strategy;
S47: the advertisement of throwing in user's setting according to the suggestion of advertisement serving policy.
In embodiment one, after the automatic generating advertisement of server throws in the suggestion of strategy, user can according to the suggestion of advertisement serving policy, and selection adopts server automatically to throw in advertisement or oneself arranges impression information, advertisement placement method variation.
Corresponding to the recommend method of the advertisement serving policy that the embodiment of the present invention provides, the embodiment of the present invention also provides a kind of recommendation apparatus of advertisement serving policy, as shown in Figure 5, comprising: the first memory module 51, first search module 52, human-computer interaction module 53, second search module 54 and suggestion module 55.
First memory module 51, for storing the advertisement base pre-set, essential information and the history broadcast information of the advertisement that several were play is recorded in described advertisement base, and the advertisement base in server regular update first memory module 51, to ensure the up-to-date property of its advertisement of recording.
First search module 52, searches in the advertisement base stored in the first memory module 51, obtain the essential information of multiple relevant advertisements and send to human-computer interaction module 53 for the keyword that inputs according to user;
Human-computer interaction module 53, the essential information for the multiple relevant advertisements sent by the first search module 52 shows user; Also for obtaining the relevant advertisements that user selects in the essential information of multiple relevant advertisements and the time period of specifying, and the information of acquisition is supplied to the second search module 54; The suggestion of the advertisement serving policy that the history broadcast information comparing result of the relevant advertisements also selected for the user that sent by the second search module 54 within the time period of specifying and suggestion module 55 are sent is supplied to user;
Second search module 54, the relevant advertisements selected in the essential information of multiple relevant advertisements for the user sent according to human-computer interaction module 53 and the time period of specifying, from the advertisement base that the first memory module 51 stores, obtain the history broadcast information of relevant advertisements within the time period of specifying that user selects and these history broadcast information are contrasted, generate comparing result and send to human-computer interaction module 53, the essential information of the relevant advertisements simultaneously user selected sends to suggestion module 55;
Suggestion module 55, the essential information generating advertisement of the relevant advertisements that the user for sending according to subscriber identity information and the second search module 54 selects throws in the suggestion of strategy, and the suggestion of advertisement serving policy is supplied to human-computer interaction module 53.
In one embodiment, as shown in Figure 6, suggestion module 55 comprises:
Second memory module 551, plays crucial phrase and the crucial phrase of at least one repulsion broadcasting for storing at least one collocation predefined; The crucial phrase of each collocation broadcasting comprises the keyword in the title/company/brand message of the advertisement that the collocation of several needs is play; The crucial phrase of each repulsion broadcasting comprises the keyword that several needs stagger in the title/company/brand message of the advertisement of playing;
First contrast module 552, plays the keyword that crucial phrase and all repulsions play in crucial phrase contrast one by one for all collocation subscriber identity information and the second memory module 551 stored; When contrasting in subscriber identity information the keyword comprised in the crucial phrase of any one collocation broadcasting, send to the second contrast module 553 and comprise the first contrast instruction that the mark of crucial phrase is play in this collocation matched, when contrasting in subscriber identity information the keyword comprised in the crucial phrase of any one repulsion broadcasting predefined, sending to the 3rd contrast module 554 and comprising the second contrast instruction that the mark of crucial phrase is play in this repulsion matched;
Second contrast module 553, for contrasting instruction according to receive first, the essential information and first of the relevant advertisements that the user that sent by the second search module 54 selects contrasts the keyword that the collocation in the second memory module 551 of the mark indication in instruction plays in crucial phrase and contrasts one by one, and when matching the essential information of arbitrary relevant advertisements in the relevant advertisements that user selects and comprising arbitrary keyword that this collocation plays in crucial phrase, generate the suggestion of the first advertisement serving policy that advertisement user set and this relevant advertisements of matching from the relevant advertisements that user selects were play in the same channel same period,
3rd contrast module 554, for contrasting instruction according to receive second, the essential information and second of the relevant advertisements that the user that sent by the second search module 54 selects contrasts the keyword that the repulsion in the second memory module 551 of the mark indication in instruction plays in crucial phrase and contrasts one by one, and when matching the essential information of arbitrary relevant advertisements in the relevant advertisements that user selects and comprising arbitrary keyword that this repulsion plays in crucial phrase, generate advertisement user set and this relevant advertisements of matching from the relevant advertisements that user selects to stagger the suggestion of the second advertisement serving policy that channel or period play,
Sending module 555, the suggestion of the second advertisement serving policy that suggestion and the 3rd contrast module 554 for contrasting the first advertisement serving policy that module 553 generates by second generate sends to human-computer interaction module 53.
In one embodiment, as shown in Figure 7, the recommendation apparatus of advertisement serving policy provided by the invention also comprises putting module 56;
Human-computer interaction module 53 is also for sending to putting module 56 by user according to the impression information of the suggestion feedback of throwing in strategy; User at least comprises the input channel of advertisement to be put, release time, input duration according to the impression information of the suggestion feedback of throwing in strategy;
Suggestion module 55 is also for being supplied to putting module 56 by the suggestion of advertisement serving policy;
Putting module 56, for the suggestion of advertisement serving policy that provides according to suggestion module 55 or the user that sends according to human-computer interaction module 53 according to the impression information of suggestion feedback of throwing in strategy, throws in the advertisement of user's setting.
In one embodiment, as shown in Figure 8, putting module 56 comprises:
Judge module 561, for judging whether human-computer interaction module 53 sends user according to the impression information of throwing in tactful suggestion feedback, if, the the first input instruction comprising the impression information that user feeds back according to the suggestion of throwing in strategy is then sent to the first putting module 562, otherwise, send the second input instruction to the second putting module 563;
First putting module 562, for throwing in instruction according to receive first, throws in the advertisement of user's setting according to the impression information of the suggestion feedback of throwing in strategy according to user;
Second putting module 563, for throwing in instruction according to receive second, the advertisement of user's setting is thrown in the suggestion of the advertisement serving policy provided according to suggestion module 55.
The keyword search relevant advertisements that the recommendation apparatus of advertisement serving policy provided by the invention inputs according to user, Statistical Comparison is carried out by the history broadcast information of advertisement user paid close attention to, and be supplied to user according to the suggestion of generating advertisement input strategy after comparing result, save advertiser and artificially add up human cost and the time cost that generating advertisement throws in strategy, improve advertisement putting efficiency.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disc store and optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the flow chart of the method for the embodiment of the present invention, equipment (system) and computer program and/or block diagram.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame.These computer program instructions can being provided to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computer or other programmable data processing device produce device for realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices is provided for the step realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (10)
1. a recommend method for advertisement serving policy, is characterized in that, comprising:
Keyword according to user's input is searched in the advertisement base pre-set, and obtains the essential information of multiple relevant advertisements and shows user; Essential information and the history broadcast information of the advertisement that several were play is recorded in described advertisement base;
Obtain the relevant advertisements that user selects in the essential information of described multiple relevant advertisements and the time period of specifying;
Obtain the history broadcast information of relevant advertisements within the described time period of specifying that the user that records in described advertisement base selects, generate history broadcast information comparing result within the described time period of specifying of relevant advertisements that described user selects and provide it to user;
The suggestion of throwing in strategy according to described comparing result and subscriber identity information generating advertisement is supplied to user.
2. the recommend method of a kind of advertisement serving policy as claimed in claim 1, is characterized in that, the history broadcast information of described advertisement at least comprises: one in the broadcasting channel of advertisement, reproduction time, broadcasting time and playing duration.
3. the recommend method of a kind of advertisement serving policy as claimed in claim 1, it is characterized in that, the essential information of described advertisement comprises at least one item in advertised name, classification, company, brand, industry, media categories, batch number, first broadcast time, last reproduction time, the creation-time of this essential information in described advertisement base;
The described keyword according to user's input is searched in the advertisement base pre-set, obtain the essential information of multiple relevant advertisements, comprise: the keyword of search subscriber input in the essential information of all advertisements of recording in the described advertisement base pre-set, will the essential information of essential information as relevant advertisements of the advertisement of the keyword of described user input be comprised.
4. the recommend method of a kind of advertisement serving policy as claimed in claim 1, it is characterized in that, before the recommend method execution of described advertisement serving policy, also comprise: crucial phrase is play at least one collocation pre-defined, at least one repels the crucial phrase of broadcasting; The crucial phrase of each described collocation broadcasting comprises the keyword in the title/company/brand message of the advertisement that the collocation of several needs is play; The crucial phrase of each described repulsion broadcasting comprises the keyword that several needs stagger in the title/company/brand message of the advertisement of playing;
Described suggestion of throwing in strategy according to described comparing result and subscriber identity information generating advertisement, comprising:
If comprise any one collocation predefined in subscriber identity information when playing a keyword in crucial phrase, advise comprising in the essential information of the relevant advertisements that the advertisement that user set and described user select the relevant advertisements that this collocation plays any one keyword in crucial phrase and play in the same channel same period;
If comprise in subscriber identity information predefined any one when repelling the keyword play in crucial phrase, advise that stagger channel or period of the relevant advertisements comprising any one keyword that this repulsion is play in crucial phrase in the essential information of the relevant advertisements that the advertisement that user set and described user select plays.
5. the recommend method of a kind of advertisement serving policy as described in any one of Claims 1-4, is characterized in that, described suggestion of throwing in strategy according to described comparing result and subscriber identity information generating advertisement also comprises step after being supplied to user:
According to the suggestion of described advertisement serving policy, the advertisement that user sets thrown in or throw in the advertisement of user's setting according to user according to described impression information of throwing in the suggestion feedback of strategy.
6. the recommend method of a kind of advertisement serving policy as claimed in claim 5, it is characterized in that, the described suggestion according to described advertisement serving policy is thrown in the advertisement that user sets or is thrown in the advertisement of user's setting according to user according to described impression information of throwing in the suggestion feedback of strategy, comprising:
Judge whether to receive user according to described impression information of throwing in the suggestion feedback of strategy, if, then throw in the advertisement of user's setting according to described impression information of throwing in the suggestion feedback of strategy according to user, otherwise, the advertisement of user's setting is thrown according to the suggestion of described advertisement serving policy;
Described user at least comprises at least one item in the input channel of advertisement to be put, release time and input duration according to described impression information of throwing in the suggestion feedback of strategy.
7. a recommendation apparatus for advertisement serving policy, is characterized in that, comprising:
First memory module, for storing the advertisement base pre-set, records essential information and the history broadcast information of the advertisement that several were play in described advertisement base;
First search module, searches for for the keyword inputted according to user, obtains the essential information of multiple relevant advertisements and send to human-computer interaction module in the advertisement base of described first memory module storage;
Human-computer interaction module, the essential information for the multiple relevant advertisements sent by described first search module shows user; Also for obtaining the relevant advertisements that user selects in the essential information of described multiple relevant advertisements and the time period of specifying, and the information of acquisition is supplied to the second search module; The suggestion of the advertisement serving policy that the history broadcast information comparing result of the relevant advertisements also selected for the described user sent by the second search module within the described time period of specifying and described suggestion module are sent is supplied to user;
Second search module, the relevant advertisements selected in the essential information of described multiple relevant advertisements for the user sent according to described human-computer interaction module and the time period of specifying, from the advertisement base that described first memory module stores, obtain the history broadcast information of relevant advertisements within the described time period of specifying that user selects and these history broadcast information are contrasted, generate comparing result and send to described human-computer interaction module, the essential information of the relevant advertisements simultaneously described user selected sends to suggestion module;
Suggestion module, the essential information generating advertisement of the relevant advertisements that the user for sending according to subscriber identity information and described second search module selects throws in the suggestion of strategy, and the suggestion of described advertisement serving policy is supplied to described human-computer interaction module.
8. the recommendation apparatus of a kind of advertisement serving policy as claimed in claim 7, is characterized in that, described suggestion module comprises:
Second memory module, plays crucial phrase and the crucial phrase of at least one repulsion broadcasting for storing at least one collocation predefined; The crucial phrase of each described collocation broadcasting comprises the keyword in the title/company/brand message of the advertisement that the collocation of several needs is play; The crucial phrase of each described repulsion broadcasting comprises the keyword that several needs stagger in the title/company/brand message of the advertisement of playing;
First contrast module, plays the keyword that crucial phrase and all repulsions play in crucial phrase contrast one by one for all collocation subscriber identity information and described second memory module stored; When contrasting in described subscriber identity information the keyword comprised in the crucial phrase of any one collocation broadcasting, send to the second contrast module and comprise the first contrast instruction that the mark of crucial phrase is play in this collocation matched, when contrasting in described subscriber identity information the keyword comprised in the crucial phrase of any one repulsion broadcasting predefined, sending to the 3rd contrast module and comprising the second contrast instruction that the mark of crucial phrase is play in this repulsion matched;
Second contrast module, for contrasting instruction according to receive first, the keyword that the collocation of the mark indication that the essential information and described first of the relevant advertisements that the user that sent by described second search module selects contrasts in instruction is play in crucial phrase contrasts one by one, and when matching the essential information of arbitrary relevant advertisements in the relevant advertisements that described user selects and comprising arbitrary keyword that this collocation plays in crucial phrase, generate the suggestion of the first advertisement serving policy that advertisement user set and this relevant advertisements of matching from the relevant advertisements that described user selects were play in the same channel same period,
3rd contrast module, for contrasting instruction according to receive second, the keyword that the repulsion of the mark indication that the essential information and described second of the relevant advertisements that the user that sent by described second search module selects contrasts in instruction is play in crucial phrase contrasts one by one, and when matching the essential information of arbitrary relevant advertisements in the relevant advertisements that described user selects and comprising arbitrary keyword that this repulsion plays in crucial phrase, generate advertisement user set and this relevant advertisements of matching from the relevant advertisements that described user selects to stagger the suggestion of the second advertisement serving policy that channel or period play,
Sending module, the suggestion for the suggestion of the first advertisement serving policy by described second contrast CMOS macro cell and the second advertisement serving policy of described 3rd contrast CMOS macro cell sends to described human-computer interaction module.
9. the recommendation apparatus of a kind of advertisement serving policy as claimed in claim 7 or 8, is characterized in that, this device also comprises putting module;
Described human-computer interaction module is also for sending to described putting module by user according to described impression information of throwing in the suggestion feedback of strategy; Described user at least comprises the input channel of advertisement to be put, release time, input duration according to described impression information of throwing in the suggestion feedback of strategy;
Described suggestion module is also for being supplied to described putting module by the suggestion of described advertisement serving policy;
Described putting module, for the suggestion of advertisement serving policy that provides according to described suggestion module or the user that sends according to described human-computer interaction module according to described impression information of throwing in the suggestion feedback of strategy, throws in the advertisement of user's setting.
10. the recommendation apparatus of a kind of advertisement serving policy as claimed in claim 9, is characterized in that, described putting module comprises:
Judge module, for judging whether described human-computer interaction module sends user according to described impression information of throwing in the suggestion feedback of strategy, if, then send to the first putting module and comprise described user according to described first input instruction of throwing in the impression information of the suggestion feedback of strategy, otherwise, send second to the second putting module and throw in instruction;
First putting module, for throwing in instruction according to receive first, throws in the advertisement of user's setting according to described impression information of throwing in the suggestion feedback of strategy according to described user;
Second putting module, for throwing in instruction according to receive second, the advertisement of user's setting is thrown in the suggestion of the advertisement serving policy provided according to described suggestion module.
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| CN112215649A (en) * | 2020-10-12 | 2021-01-12 | 上海酷量信息技术有限公司 | Flow control system and method based on terminal |
| CN112819539A (en) * | 2021-02-07 | 2021-05-18 | 深圳市今视通数码科技有限公司 | NFC-based advertisement putting method and system on spinning and storage medium |
| CN113743981A (en) * | 2021-08-03 | 2021-12-03 | 深圳市东信时代信息技术有限公司 | Material putting cost prediction method and device, computer equipment and storage medium |
| CN113743981B (en) * | 2021-08-03 | 2023-11-28 | 深圳市东信时代信息技术有限公司 | Material delivery cost prediction method and device, computer equipment and storage medium |
| CN115375379A (en) * | 2022-10-26 | 2022-11-22 | 承德石油高等专科学校 | Advertisement pushing method and system based on short video platform |
| CN115375379B (en) * | 2022-10-26 | 2023-04-18 | 承德石油高等专科学校 | Advertisement pushing method and system based on short video platform |
| CN116503116A (en) * | 2023-06-29 | 2023-07-28 | 江西时刻互动科技股份有限公司 | Advertisement putting time management method and device |
| CN117132330A (en) * | 2023-10-23 | 2023-11-28 | 蓝色火焰科技成都有限公司 | Intelligent advertisement method, device, equipment and storage medium based on big data |
| CN117132330B (en) * | 2023-10-23 | 2024-01-30 | 蓝色火焰科技成都有限公司 | Intelligent advertisement method, device, equipment and storage medium based on big data |
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Denomination of invention: A recommendation method and device for advertising strategy Effective date of registration: 20210104 Granted publication date: 20180508 Pledgee: Inner Mongolia Huipu Energy Co.,Ltd. Pledgor: WUXI TVMINING MEDIA SCIENCE & TECHNOLOGY Co.,Ltd. Registration number: Y2020990001517 |
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