CN108073672A - Business object recommends method, apparatus and electronic equipment - Google Patents

Business object recommends method, apparatus and electronic equipment Download PDF

Info

Publication number
CN108073672A
CN108073672A CN201710236783.7A CN201710236783A CN108073672A CN 108073672 A CN108073672 A CN 108073672A CN 201710236783 A CN201710236783 A CN 201710236783A CN 108073672 A CN108073672 A CN 108073672A
Authority
CN
China
Prior art keywords
business object
main broadcaster
target service
attribute information
business
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710236783.7A
Other languages
Chinese (zh)
Inventor
彭彬绪
孔令云
袁平州
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Sensetime Technology Development Co Ltd
Original Assignee
Beijing Sensetime Technology Development Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Sensetime Technology Development Co Ltd filed Critical Beijing Sensetime Technology Development Co Ltd
Priority to CN201710236783.7A priority Critical patent/CN108073672A/en
Publication of CN108073672A publication Critical patent/CN108073672A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0269Targeted advertisements based on user profile or attribute
    • G06Q30/0271Personalized advertisement
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0277Online advertisement
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management 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
    • H04N21/258Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866Management of end-user data
    • H04N21/25891Management of end-user data being end-user preferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81Monomedia components thereof
    • H04N21/812Monomedia components thereof involving advertisement data

Abstract

The embodiment of the invention discloses a kind of business objects to recommend method, apparatus and electronic equipment, wherein, business object recommends method to include:Obtain main broadcaster's attribute information of direct broadcasting room and each business object attribute information;Based on main broadcaster's attribute information and each business object attribute information, target service object is determined;The target service object is shown in the direct broadcasting room.Can be that video main broadcaster selects matched business object from business objects library, which has better conformed to the demand of video main broadcaster, realizes the accurate recommendation of business object by the embodiment of the present invention.

Description

Business object recommends method, apparatus and electronic equipment
Technical field
The present embodiments relate to field of artificial intelligence more particularly to a kind of business object recommend method, apparatus and Electronic equipment.
Background technology
At present in internet, the attribute data of user plays increasing work in many application fields such as advertisement field With the attribute data of user can guide the input of advertisement.
In the analytical plan of existing user attribute data, mainly pass through the historical behavior data such as browser of user Cookie data carries out user labeling processing, and then the classification of user is obtained by the realization of labeling treated data The attribute data of user, and then, advertising input is guided according to the attribute data of the user.But this method can not instruct advertisement Etc. the accurate of business objects recommend and launch.
The content of the invention
The embodiment of the present invention is designed to provide a kind of business object suggested design.
It is according to embodiments of the present invention in a first aspect, providing a kind of business object recommends method, including:Obtain direct broadcasting room Main broadcaster's attribute information and each business object attribute information;Based on main broadcaster's attribute information and each business object attribute letter Breath, determines target service object;The target service object is shown in the direct broadcasting room.
Optionally, it is described based on main broadcaster's attribute information and each business object attribute information, determine target service Object, including:According to main broadcaster's attribute information, main broadcaster's label information is generated;According to business object attribute information, business is generated Object tag information;Based on main broadcaster's label information and each business object label information, the target service pair is determined As.
Optionally, it is described based on main broadcaster's label information and each business object label information, determine the target Business object, including:Main broadcaster's label information is subjected to vectorization processing, generates main broadcaster's label vector;By each business Object tag information carries out vectorization processing, generates each business object label vector;Based on main broadcaster's label vector and each institute Business object label vector is stated, the prediction for calculating each business object enables rate;Prediction based on each business object enables rate, Determine the target service object.
Optionally, the prediction based on each business object enables rate, determines the target service object, including: Business object of the rate that enables more than given threshold will be predicted, as the target service object;Or, enable rate maximum by predicting Business object, as the target service object.
Optionally, it is described based on main broadcaster's label vector and each business object label vector, calculate each business pair The prediction of elephant enables rate, including:Obtain main broadcaster's label vector the first weight and the business object label vector Two weights;Based on main broadcaster's label vector, the first weight, the business object label vector and the second weight, described in calculating The prediction of business object enables rate.
Optionally, the prediction based on each business object enables rate, before determining the target service object, also Including:It enables the prediction of each business object rate and carries out Regularization, the optimum prediction for obtaining business object enables rate.
Optionally, it is described to show the target service object in the direct broadcasting room, including:When there are multiple target services pair As when, rate is enabled according to the prediction of the multiple target service object, it is corresponding to generate the multiple target service object Show priority;According to the corresponding displaying priority of the multiple target service object, the multiple target service is shown Object.
Optionally, main broadcaster's attribute information includes following at least one:The essential attribute of main broadcaster, figure and features feature, purchase Type, behavioural characteristic, psychological characteristics, real-time status feature and Audience attribute.
Optionally, the Audience attribute includes following at least one:Sex ratio, age bracket ratio, region ratio and receipts Enter situation.
Optionally, the business object attribute information includes following at least one:The fields of business object, affiliated product Board, effect properties, triggering information, audience attributes and main broadcaster's attribute.
Optionally, the business object includes:Include the special efficacy of semantic information.
Second aspect according to embodiments of the present invention additionally provides a kind of business object recommendation apparatus, including:Obtain mould Block, for obtaining main broadcaster's attribute information of direct broadcasting room and each business object attribute information;Determining module, for being based on the main broadcaster Attribute information and each business object attribute information, determine target service object;Display module, in the direct broadcasting room exhibition Show the target service object.
Optionally, the determining module includes:First generation submodule, for according to main broadcaster's attribute information, generation Main broadcaster's label information;Second generation submodule, for according to business object attribute information, generating business object label information;It is right As determination sub-module, for being based on main broadcaster's label information and each business object label information, the target industry is determined Business object.
Optionally, the object determination sub-module includes:Primary vector generation unit, for by main broadcaster's label information Vectorization processing is carried out, generates main broadcaster's label vector;Secondary vector generation unit, for by each business object label information Vectorization processing is carried out, generates each business object label vector;Computing unit, for being based on main broadcaster's label vector and each institute Business object label vector is stated, the prediction for calculating each business object enables rate;Target service object determination unit, it is each for being based on The prediction of the business object enables rate, determines the target service object.
Optionally, the target service object determination unit, for that will predict that the rate that enables is more than the business pair of given threshold As the target service object;Or, will predict the business object for enabling rate maximum, as the target service object.
Optionally, the computing unit, for obtaining the first weight of main broadcaster's label vector and the business object Second weight of label vector;Based on main broadcaster's label vector, the first weight, the business object label vector and the second power Weight, the prediction for calculating the business object enable rate.
Optionally, the object determination sub-module further includes:Regularization unit, in the target service object Prediction of the determination unit based on each business object enables rate, before determining the target service object, to each business The prediction of object enables rate and carries out Regularization, and the optimum prediction for obtaining business object enables rate.
Optionally, the display module, for when there are during multiple target service objects, according to the multiple target service The prediction of object enables rate, generates the corresponding displaying priority of the multiple target service object;According to the multiple mesh The corresponding displaying priority of business object is marked, shows the multiple target service object.
Optionally, main broadcaster's attribute information includes following at least one:The essential attribute of main broadcaster, figure and features feature, purchase Type, behavioural characteristic, psychological characteristics, real-time status feature and Audience attribute.
Optionally, the Audience attribute includes following at least one:Sex ratio, age bracket ratio, region ratio and receipts Enter situation.
Optionally, the business object attribute information includes following at least one:The fields of business object, affiliated product Board, effect properties, triggering information, audience attributes and main broadcaster's attribute.
Optionally, the business object includes:Include the special efficacy of semantic information.
The third aspect according to embodiments of the present invention, additionally provides a kind of electronic equipment, including:Processor, memory lead to Cell part and communication bus, the processor, the memory and the communication device are completed mutual by the communication bus Between communication;For the memory for storing an at least executable instruction, the executable instruction makes the processor perform such as Any business object of first aspect recommends method.
Fourth aspect according to embodiments of the present invention additionally provides a kind of computer readable storage medium, the computer Readable storage medium storing program for executing is stored with:For obtaining the executable finger of main broadcaster's attribute information of direct broadcasting room and each business object attribute information Order;For being based on main broadcaster's attribute information and each business object attribute information, the executable of target service object is determined Instruction;For showing the executable instruction of the target service object in the direct broadcasting room.
The business object suggested design of the embodiment of the present invention, main broadcaster's attribute letter of the video main broadcaster of the direct broadcasting room based on acquisition The business object attribute information of breath and each business object, determines target service object, and then shows the target service in direct broadcasting room Object, to be pushed to video main broadcaster.Main broadcaster's attribute information and each business object attribute information by video main broadcaster, Ke Yiwei Video main broadcaster selects matched business object from business objects library, which has better conformed to video main broadcaster Demand, realize the accurate recommendation of business object.
Description of the drawings
Fig. 1 is the step flow chart that a kind of business object that the embodiment of the present invention one provides recommends method;
Fig. 2 is the step flow chart that a kind of business object provided by Embodiment 2 of the present invention recommends method;
Fig. 3 is a kind of structure diagram for business object recommendation apparatus that the embodiment of the present invention three provides;
Fig. 4 is a kind of structure diagram for business object recommendation apparatus that the embodiment of the present invention four provides;
Fig. 5 is the structure diagram for a kind of electronic equipment that the embodiment of the present invention five provides.
Specific embodiment
(identical label represents identical element in several attached drawings) and embodiment below in conjunction with the accompanying drawings, implement the present invention The specific embodiment of example is described in further detail.Following embodiment is not limited to for illustrating the embodiment of the present invention The scope of the embodiment of the present invention.
It will be understood by those skilled in the art that the terms such as " first ", " second " in the embodiment of the present invention are only used for distinguishing Different step, equipment or module etc. neither represent any particular technology meaning, also do not indicate that the inevitable logic between them is suitable Sequence.
Embodiment one
With reference to Fig. 1, show that a kind of business object of the offer of the embodiment of the present invention one recommends the step flow chart of method.
The present embodiment recommends method by taking the background server under live scene as an example, to the business object of the embodiment of the present invention It is explained.The business object of the present embodiment recommends method specifically to may include steps of:
Step 102, the main broadcaster's attribute information for obtaining direct broadcasting room and each business object attribute information.
The embodiment of the present invention is applied under live scene, and first terminal (such as main broadcaster end) is whole by background server and second Video communication connection is established at end (such as viewer end).
Background server obtains main broadcaster's attribute information of the current video main broadcaster of direct broadcasting room, is such as imaged by obtaining main broadcaster end The permission of head, and by the image data of camera acquisition main broadcaster, main broadcaster's attribute of video main broadcaster is obtained further according to image data Information, for another example by inquiry questionnaire form obtain video main broadcaster main broadcaster's attribute information.
Main broadcaster's attribute information includes but not limited to following at least one:Essential attribute, figure and features feature, the purchase class of main broadcaster Type, behavioural characteristic, psychological characteristics, real-time status feature and Audience attribute.
In the background server, first terminal and second terminal of the present embodiment, business objects library is both provided with, and can be with By the synchronization and update of real-time performance business object, wherein, multi-traffic object, business object bag are stored in business objects library It includes but is not limited to the special efficacy for including semantic information, such as advertisement.
This step also obtains the attribute information of each business object in business objects library, that is, obtains each business object attribute letter Breath, business object attribute information include but not limited to following at least one:The fields of business object, affiliated brand, effect Attribute, triggering information, audience attributes and main broadcaster's attribute.
Wherein, main broadcaster's attribute information is capable of the feature of relatively accurately reflecting video main broadcaster, and business object attribute information It then can relatively accurately reflect the feature of the business object, according to the feature of the two, subsequent target service pair can be carried out As recommending.
Step 104, based on main broadcaster's attribute information and each business object attribute information, determine target service object.
In the present embodiment, to determine the business object of main broadcaster's attribute information of suitable video main broadcaster, accurate recommendation is reached Purpose, the business object attribute information of main broadcaster's attribute information of video main broadcaster and each business object is combined, so really Surely suitable target service object to be recommended, for example, using main broadcaster's attribute information and each business object attribute information as parameter, It determines the business object attribute information to match with main broadcaster's attribute information, is determined according to the business object attribute information to match Target service object to be recommended.
Step 106 shows target service object in direct broadcasting room.
After target service object to be recommended is determined in background server, target service object is shown in direct broadcasting room, with It is pushed to video main broadcaster.
The business object of the present embodiment recommends method, main broadcaster's attribute information of the video main broadcaster of the direct broadcasting room based on acquisition and The business object attribute information of each business object determines target service object, and then shows the target service object in direct broadcasting room, To be pushed to video main broadcaster.Main broadcaster's attribute information and each business object attribute information by video main broadcaster can be video Main broadcaster selects matched business object from business objects library, which has better conformed to the need of video main broadcaster It asks, realizes the accurate recommendation of business object.
Embodiment two
With reference to Fig. 2, show that a kind of business object provided by Embodiment 2 of the present invention recommends the step flow chart of method, tool Body may include steps of:
Step 202, the main broadcaster's attribute information for obtaining direct broadcasting room and each business object attribute information.
In the embodiment of the present invention, main broadcaster's attribute information includes but not limited to following at least one:The essential attribute of main broadcaster, body Looks feature, purchase pattern, behavioural characteristic, psychological characteristics, real-time status feature and Audience attribute.Wherein, Audience attribute include but It is not limited to following at least one:Sex ratio, age bracket ratio, region ratio and income situation.Audience attribute can be on backstage Server is counted in advance, such as obtains all spectators of current video main broadcaster, counts the attribute information of each spectators respectively, after Platform server carries out dynamic statistics to the attribute information of each spectators, you can be carried out at any time according to the variation of Audience attribute information Dynamic adjusts.
Business object includes but not limited to:Include the special efficacy of semantic information, wherein special efficacy can be the spy of three dimensional form Effect, as three dimensional form advertisement special efficacy (using 3D special efficacys form show advertisement) or two dimensional form paster, such as two The advertising sticker special efficacy (advertisement shown using paster form) of dimension form, can also be particle effect.Language in business object Adopted information can be advertising message, that is, business object can be the one or more in the above-mentioned special efficacy comprising advertising message. But not limited to this, the business object of other forms is equally applicable the scheme that business object provided in an embodiment of the present invention is recommended, Such as the explanatory note or introduction or the objects interacted with video spectators of certain forms of APP or other application, (such as electronics is doted on Object) etc..Business object attribute information includes but not limited to following at least one:The fields of business object, affiliated brand, effect Fruit attribute, triggering information, audience attributes and main broadcaster's attribute.
Step 204, according to main broadcaster's attribute information, generate main broadcaster's label information;According to business object attribute information, industry is generated Business object tag information.
Before video main broadcaster is broadcast live or during live streaming, the main broadcaster for getting current video main broadcaster belongs to background server Property information after, main broadcaster's label information is generated according to main broadcaster's attribute information for getting, such as according to the classification of main broadcaster's attribute information life Into main broadcaster's label information, main broadcaster's label information can be generated in the form of list item in the present embodiment.For business object attribute Information can classify according to business object attribute information, and then generate corresponding business object label according to classification results Information, in the present embodiment business object label information can show as the form of list item.
In the present embodiment, a kind of main broadcaster's label information is specifically as shown in table 1.
Essential attribute:Gender, age, permanent area, occupation, education degree etc..
Figure and features feature:Height, weight, face value, dress etc..
Purchase pattern:Whether whether Income situation have vehicle, buy house, type of doing shopping, Brang Preference etc..
Behavioural characteristic:Hobby, artistic speciality (singing/dancing), active degree.
Psychological characteristics:Affective state (unmarried/love), personality feature (optimistic/gentle and quiet/intellectual).
Audience attribute:Sex ratio, ratio of age, region ratio, main foreigner tourists income situation etc..
Real-time status feature:Real-time location, expression, Real Time Effect power.
Table 1
In a kind of optional mode of the embodiment of the present invention, Audience attribute and real-time status feature can be by background servers All attendance datas of current video main broadcaster are counted, then carry out data analysis acquisition.
In the present embodiment, a kind of business object label information is as shown in table 2.
Table 2
In specific implementation, following place can be used in the process that corresponding label information is generated to the attribute information collected Reason:
(1) data cleansing
The attribute information collected may be there are a certain proportion of junk information, can be by appropriate ways such as by different Constant value (such as the age was more than 200 years old etc.) filter type removes certain junk information.For some duplicate messages (as on the other hand Machine number registers situations such as multiple id) it is filtered duplicate removal processing.At the same time it can also carry out a certain proportion of sampling Detection, understand Data distribution rule, to remove junk information (such as a large amount of areas are arranged on the id of certain unknown island).
(2) default value is handled
In practical applications, it is commonly present because user information fills in use that is sufficiently complete or can not obtaining by application permission Family information causes the situation of loss of learning.At this point it is possible to carry out information filling processing, such as filled up using the default value set, In, default value ordinary circumstance is represented using average value, mode or particular value (representing null value).
(3) labeling of data
After being handled by above-mentioned (1) and (2), the attribute information got still cannot be directly as the category of generation label information Property information use, it is necessary to be further processed.For example, for the numeric type information such as age (1~13 years old, 14~20 years old, 21~30 Year etc.), income (monthly pay is below 5000, monthly pay 10000 is with first-class) etc. carry out discretization, such as using equivalent division or equivalent division Deng by classifying and clustering acquisition label.
Step 206, based on main broadcaster's label information and each business object label information, determine target service object.
After main broadcaster's label information and each business object label information is determined, it can be determined based on the matching degree of the two Target service object.
In one implementation, optionally, main broadcaster's label information can also be carried out to vectorization processing, generation main broadcaster's mark Label vector;Each business object label information is subjected to vectorization processing, generates each business object label vector;Based on main broadcaster's label Vectorial and each business object label vector, the prediction for calculating each business object enable rate;Prediction based on each business object enables Rate determines target service object.Wherein, it is a kind of prediction whether being activated to business object that prediction, which enables rate, and prediction enables Rate is higher, and the possibility being activated is also higher.
It, can be with to reduce main broadcaster's label information and each business object label information statistical disposition workload in the above process Binary set processing is carried out to main broadcaster's label information and each business object label information, i.e., is the project of "Yes" in label information It is represented with " 1 ", is that the project of "No" is represented with " 0 ", it is a kind of that vectorization treated result such as table 3 is carried out to main broadcaster's label information It is shown, it is a kind of vectorization to be carried out to business object label information treated that the results are shown in Table 4.
Table 3
Table 4
After main broadcaster's label vector and each business object label vector is obtained, the prediction that can calculate each business object is opened With rate.
For example, represent main broadcaster's label vector using u (n), wherein, n represents the vector dimension of main broadcaster's label vector, such as table 3 Shown in, u (n) is main broadcaster's label vector of each vector value composition, and n is the total number of vector value in table 3, should in actual practicality Vector dimension is different and different with the number of options under number of labels and each label;Business object label is represented using a (m) Vector, wherein, m represents the vector dimension of business object label vector, and as shown in table 4, a (m) is the industry of each vector value composition Object tag of being engaged in vector, m are the total number of vector value in table 4, and in actual practicality, the vector dimension is with number of labels and each mark The number of options signed it is different and different;The feature vector of u (n) and a (m) combinations is represented using x (a, u).
Based on this, it is as follows that a kind of use basic model logistic regression prediction enables the adoptable formula of rate:
Wherein, p (h>0 | a, u) represent that the prediction of business object enables rate, x (a, u) represents the spy of u (n) and a (m) combinations Sign vector, ω represent the parameter that the weighting coefficient of each feature and this model needs optimize in x (a, u);ωTRepresent turning for ω It puts;(2h-1)ωTS type Sigmoid function σ (z)=(1+e is passed through in the output of x (a, u) this linear function-z)-1Be mapped to (0, 1) in section, wherein h for value in the binary variable of { 0,1 }, (2h-1) be in order to will the click of { 0,1,2,3 ... ..., N } change Amount (variable for being clicked number of business object) is transformed in set { -1,1 }.
In a kind of alternative, to make the calculating that prediction enables rate more accurate, can by those skilled in the art according to Actual demand sets the weight of vectorization treated main broadcaster's label vector and business object label vector.Then calculating business pair When the prediction of elephant enables rate, the first weight of main broadcaster's label vector and the second power of business object label vector can also be obtained Weight;Based on main broadcaster's label vector and the first weight and business object label vector and the second weight, the pre- of business object is calculated Survey enables rate.Such as, the weighting coefficient that the weighting coefficient of u (n) is 0.5, a (m) is 0.5.
In a kind of alternative, due to above-mentioned prediction, to enable the feature that rate uses more, but a portion feature can The number that actually can occur or use is simultaneously few, to avoid over-fitting, can also enable rate in the prediction based on each business object Before determining target service object, enable the prediction of each business object rate and carry out Regularization, obtain business object most Excellent prediction enables rate.In specific calculate, a kind of feasible pattern adds in regularization term, following institute when being included in maximal possibility estimation Show:
Wherein,Represent the fitting degree of maximal possibility estimation,Table Show regularization term, min expressions are minimized.
Based on the above process, in definite target service object, business of the rate that enables more than given threshold can will be predicted Object, as target service object;Alternatively, the business object for enabling rate maximum will be predicted, as target service object.
For example, the prediction of business object is enabled business object of the rate more than given threshold a is determined as target to be recommended Business object, if a is 0.6, the average value that can enable rate according to the prediction of whole business object in the present embodiment a is set Fixed, the present embodiment is not especially limited this.
Step 208 shows target service object in direct broadcasting room.
When only existing a qualified target service object, directly the target service object is shown in direct broadcasting room; When there are during multiple target service objects, then can enabling rate according to the prediction of multiple target service objects, generate multiple targets The corresponding displaying priority of business object;According to the corresponding displaying priority of multiple target service objects, displaying is more A target service object.
In addition, in embodiments of the present invention, to prevent target service number of objects excessive, mesh to be recommended can also be set The quantity of business object is marked, is such as no more than 20.
When showing target service object, the mode pushed to video main broadcaster may be employed, it is alternatively possible to first eventually It holds and recommends target service object to video main broadcaster in the form of a list on (main broadcaster end), video main broadcaster can be by clicking operation Trigger the displaying of corresponding target service object.
The business object of the embodiment of the present invention recommends method, and main broadcaster is determined by main broadcaster's attribute information according to video main broadcaster Label information determines corresponding business object label information, by main broadcaster's label information and industry according to each business object attribute information The object tag information of being engaged in carries out vectorization processing, based on vectorization treated main broadcaster's label vector and business object label vector Determine that the prediction of business object enables rate, the prediction of business object is enabled rate is determined as treating more than the business object of given threshold The target service object of recommendation is pushed to video main broadcaster.It, can be from business objects library by main broadcaster's attribute data of video main broadcaster In determine matched business object, business object maximization ground has met the demand of main broadcaster, realizes business pair The accurate recommendation of elephant.
It will be understood by those skilled in the art that in the above method of specific embodiment of the embodiment of the present invention, each step Sequence number size be not meant to the priority of execution sequence, the execution sequence of each step should be determined with its function and internal logic, Implementation process without tackling specific embodiment of the embodiment of the present invention forms any restriction.
Embodiment three
Reference Fig. 3 shows a kind of structure diagram for business object recommendation apparatus that the embodiment of the present invention three provides.
The business object recommendation apparatus of the present embodiment includes:Acquisition module 302, for obtaining main broadcaster's attribute of direct broadcasting room letter Breath and each business object attribute information;Determining module 304, for being based on main broadcaster's attribute information and each business object attribute information, Determine target service object;Display module 306, for showing target service object in direct broadcasting room.
The business object recommendation apparatus of the embodiment of the present invention, main broadcaster's attribute letter of the video main broadcaster of the direct broadcasting room based on acquisition The business object attribute information of breath and each business object, determines target service object, and then shows the target service in direct broadcasting room Object, to be pushed to video main broadcaster.Main broadcaster's attribute information and each business object attribute information by video main broadcaster, Ke Yiwei Video main broadcaster selects matched business object from business objects library, which has better conformed to video main broadcaster Demand, realize the accurate recommendation of business object.
Example IV
Reference Fig. 4 shows a kind of structure diagram for business object recommendation apparatus that the embodiment of the present invention four provides.
The business object recommendation apparatus of the present embodiment includes:Acquisition module 402, for obtaining main broadcaster's attribute of direct broadcasting room letter Breath and each business object attribute information;Determining module 404, for being based on main broadcaster's attribute information and each business object attribute information, Determine target service object;Display module 406, for showing target service object in direct broadcasting room.
Optionally it is determined that module 404 includes:First generation submodule 4042, for according to main broadcaster's attribute information, generation master Broadcast label information;Second generation submodule 4044, for according to business object attribute information, generating business object label information; Object determination sub-module 4046 for being based on main broadcaster's label information and each business object label information, determines target service object.
Optionally, object determination sub-module 4046 includes:Primary vector generation unit 40462, for main broadcaster's label to be believed Breath carries out vectorization processing, generates main broadcaster's label vector;Secondary vector generation unit 40464, for by each business object label Information carries out vectorization processing, generates each business object label vector;Computing unit 40466, for being based on main broadcaster's label vector And each business object label vector, the prediction for calculating each business object enable rate;Target service object determination unit 40468 is used Rate is enabled in the prediction based on each business object, determines target service object.
Optionally, target service object determination unit 40468 is used to predict that the rate that enables is more than the business pair of given threshold As target service object;Or, will predict the business object for enabling rate maximum, as target service object.
Optionally, computing unit 40466 is used to obtain the first weight of main broadcaster's label vector and business object label vector The second weight;Based on main broadcaster's label vector, the first weight, business object label vector and the second weight, business object is calculated Prediction enable rate.
Optionally, object determination sub-module 4046 further includes:Regularization unit 40469, in target service pair As prediction of the determination unit 40468 based on each business object enables rate, before determining target service object, to each business object Prediction enables rate and carries out Regularization, and the optimum prediction for obtaining business object enables rate.
Optionally, display module 406 is used for when there are during multiple target service objects, according to multiple target service objects Prediction enables rate, generates the corresponding displaying priority of multiple target service objects;Distinguish according to multiple target service objects Corresponding displaying priority shows multiple target service objects.
Optionally, main broadcaster's attribute information includes following at least one:The essential attribute of main broadcaster, figure and features feature, purchase pattern, Behavioural characteristic, psychological characteristics, real-time status feature and Audience attribute.
Optionally, Audience attribute includes following at least one:Sex ratio, age bracket ratio, region ratio and income feelings Condition.
Optionally, business object attribute information includes following at least one:The fields of business object, affiliated brand, Effect properties, triggering information, audience attributes and main broadcaster's attribute.
Optionally, business object includes:Include the special efficacy of semantic information.
The business object recommendation apparatus of the present embodiment is used to implement corresponding business object in aforesaid plurality of embodiment of the method Recommendation method, and the advantageous effect with corresponding embodiment of the method, details are not described herein.
Embodiment five
The embodiment of the present invention five provides a kind of electronic equipment, such as can be mobile terminal, personal computer (PC), put down Plate computer, server etc..Below with reference to Fig. 5, it illustrates suitable for being used for realizing the terminal device of the embodiment of the present invention or service The structure diagram of the electronic equipment 500 of device:As shown in figure 5, electronic equipment 500 includes one or more processors, communication member Part etc., one or more of processors are for example:One or more central processing unit (CPU) 501 and/or one or more Image processor (GPU) 513 etc., processor can according to the executable instruction being stored in read-only memory (ROM) 502 or From the storage executable instruction that is loaded into random access storage device (RAM) 503 of part 508 perform various appropriate actions and Processing.Communication device includes communication component 512 and/or communication interface 509.Wherein, communication component 512 may include but be not limited to net Card, the network interface card may include but be not limited to IB (Infiniband) network interface card, and communication interface 509 includes such as LAN card, modulation /demodulation The communication interface of the network interface card of device etc., communication interface 509 perform communication process via the network of such as internet.
Processor can communicate with read-only memory 502 and/or random access storage device 503 to perform executable instruction, It is connected by communication bus 504 with communication component 512 and is communicated through communication component 512 with other target devices, so as to completes this The corresponding operation of data analysing method for any one business object that inventive embodiments provide, for example, obtaining the main broadcaster of direct broadcasting room Attribute information and each business object attribute information;Based on main broadcaster's attribute information and each business object attribute information, target industry is determined Business object;Target service object is shown in direct broadcasting room.
In addition, in RAM 503, various programs and data needed for device operation can be also stored with.CPU501 or GPU513, ROM502 and RAM503 are connected with each other by communication bus 504.In the case where there is RAM503, ROM502 is can Modeling block.RAM503 stores executable instruction or executable instruction is operationally write into ROM502, and executable instruction makes place It manages device and performs the corresponding operation of above-mentioned communication means.Input/output (I/O) interface 505 is also connected to communication bus 504.Communication Component 512 can be integrally disposed, may be set to be with multiple submodule (such as multiple IB network interface cards), and in communication bus chain It connects.
I/O interfaces 505 are connected to lower component:Importation 506 including keyboard, mouse etc.;It is penetrated including such as cathode The output par, c 507 of spool (CRT), liquid crystal display (LCD) etc. and loud speaker etc.;Storage part 508 including hard disk etc.; And the communication interface 509 of the network interface card including LAN card, modem etc..Driver 510 is also according to needing to connect It is connected to I/O interfaces 505.Detachable media 511, such as disk, CD, magneto-optic disk, semiconductor memory etc. are pacified as needed On driver 510, in order to which the computer program read from it is mounted into storage part 508 as needed.
Need what is illustrated, framework as shown in Figure 5 is only a kind of optional realization method, can root during concrete practice The component count amount and type of above-mentioned Fig. 5 are made choice, deleted, increased or replaced according to actual needs;It is set in difference in functionality component Put, can also be used it is separately positioned or integrally disposed and other implementations, such as GPU and CPU separate setting or can be by GPU collection Into on CPU, communication device separates setting, can also be integrally disposed on CPU or GPU, etc..These interchangeable embodiment party Formula each falls within protection scope of the present invention.
Particularly, according to embodiments of the present invention, it is soft to may be implemented as computer for the process above with reference to flow chart description Part program.For example, the embodiment of the present invention includes a kind of computer program product, including being tangibly embodied in machine readable media On computer program, computer program included for the program code of the method shown in execution flow chart, and program code can wrap The corresponding instruction of corresponding execution method and step provided in an embodiment of the present invention is included, for example, obtaining main broadcaster's attribute information of direct broadcasting room And each business object attribute information;Based on main broadcaster's attribute information and each business object attribute information, target service object is determined; Direct broadcasting room shows target service object.In such embodiments, which can be by communication device from network It is downloaded and installed and/or is mounted from detachable media 511.When the computer program is executed by processor, this hair is performed The above-mentioned function of being limited in the method for bright embodiment.
It may be noted that according to the needs of implementation, all parts/step described in the embodiment of the present invention can be split as more The part operation of two or more components/steps or components/steps can be also combined into new component/step by multi-part/step Suddenly, to realize the purpose of the embodiment of the present invention.
It is above-mentioned to realize or be implemented as in hardware, firmware according to the method for the embodiment of the present invention to be storable in note Software or computer code in recording medium (such as CD ROM, RAM, floppy disk, hard disk or magneto-optic disk) are implemented through net The original storage that network is downloaded is in long-range recording medium or nonvolatile machine readable media and will be stored in local recording medium In computer code, can be stored in using all-purpose computer, application specific processor or can compile so as to method described here Such software processing in journey or the recording medium of specialized hardware (such as ASIC or FPGA).It is appreciated that computer, processing Device, microprocessor controller or programmable hardware include can storing or receive software or computer code storage assembly (for example, RAM, ROM, flash memory etc.), when the software or computer code are by computer, processor or hardware access and when performing, realize Processing method described here.In addition, when all-purpose computer access is used to implement the code for the processing being shown in which, code It performs and is converted to all-purpose computer to perform the special purpose computer for the processing being shown in which.
Those of ordinary skill in the art may realize that each exemplary lists described with reference to the embodiments described herein Member and method and step can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually It is performed with hardware or software mode, specific application and design constraint depending on technical solution.Professional technician Described function can be realized using distinct methods to each specific application, but this realization is it is not considered that exceed The scope of the embodiment of the present invention.
Embodiment of above is merely to illustrate the embodiment of the present invention, and is not the limitation to the embodiment of the present invention, related skill The those of ordinary skill in art field in the case where not departing from the spirit and scope of the embodiment of the present invention, can also make various Variation and modification, therefore all equivalent technical solutions fall within the scope of the embodiment of the present invention, the patent of the embodiment of the present invention Protection domain should be defined by the claims.

Claims (10)

1. a kind of business object recommends method, which is characterized in that including:
Obtain main broadcaster's attribute information of direct broadcasting room and each business object attribute information;
Based on main broadcaster's attribute information and each business object attribute information, target service object is determined;
The target service object is shown in the direct broadcasting room.
2. according to the method described in claim 1, it is characterized in that, described be based on main broadcaster's attribute information and each business Object properties information determines target service object, including:
According to main broadcaster's attribute information, main broadcaster's label information is generated;
According to business object attribute information, business object label information is generated;
Based on main broadcaster's label information and each business object label information, the target service object is determined.
3. according to the method described in claim 2, it is characterized in that, described be based on main broadcaster's label information and each business Object tag information determines the target service object, including:
Main broadcaster's label information is subjected to vectorization processing, generates main broadcaster's label vector;
Each business object label information is subjected to vectorization processing, generates each business object label vector;
Rate is enabled based on main broadcaster's label vector and each business object label vector, the prediction for calculating each business object;
Prediction based on each business object enables rate, determines the target service object.
4. according to the method described in claim 3, it is characterized in that, the prediction based on each business object enables rate, Determine the target service object, including:
Business object of the rate that enables more than given threshold will be predicted, as the target service object;Or,
The business object for enabling rate maximum will be predicted, as the target service object.
5. the method according to claim 3 or 4, which is characterized in that described based on main broadcaster's label vector and each described Business object label vector, the prediction for calculating each business object enable rate, including:
Obtain the first weight of main broadcaster's label vector and the second weight of the business object label vector;
Based on main broadcaster's label vector, the first weight, the business object label vector and the second weight, the business is calculated The prediction of object enables rate.
6. according to claim 3-5 any one of them methods, which is characterized in that the prediction based on each business object Rate is enabled, before determining the target service object, is further included:
It enables the prediction of each business object rate and carries out Regularization, the optimum prediction for obtaining business object enables rate.
7. according to claim 3-6 any one of them methods, which is characterized in that described to show the target in the direct broadcasting room Business object, including:
When there are during multiple target service objects, enabling rate according to the prediction of the multiple target service object, generation is described more The corresponding displaying priority of a target service object;
According to the corresponding displaying priority of the multiple target service object, the multiple target service object is shown.
8. according to claim 1-7 any one of them methods, which is characterized in that main broadcaster's attribute information include it is following at least One:Essential attribute, figure and features feature, purchase pattern, behavioural characteristic, psychological characteristics, real-time status feature and the spectators of main broadcaster belong to Property.
9. a kind of business object recommendation apparatus, which is characterized in that including:
Acquisition module, for obtaining main broadcaster's attribute information of direct broadcasting room and each business object attribute information;
Determining module for being based on main broadcaster's attribute information and each business object attribute information, determines target service pair As;
Display module, for showing the target service object in the direct broadcasting room.
10. a kind of electronic equipment, which is characterized in that including:Processor, memory, communication device and communication bus, the processing Device, the memory and the communication device complete mutual communication by the communication bus;
For the memory for storing an at least executable instruction, the executable instruction makes the processor perform right such as will Any business objects of 1-8 is asked to recommend method.
CN201710236783.7A 2017-04-12 2017-04-12 Business object recommends method, apparatus and electronic equipment Pending CN108073672A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710236783.7A CN108073672A (en) 2017-04-12 2017-04-12 Business object recommends method, apparatus and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710236783.7A CN108073672A (en) 2017-04-12 2017-04-12 Business object recommends method, apparatus and electronic equipment

Publications (1)

Publication Number Publication Date
CN108073672A true CN108073672A (en) 2018-05-25

Family

ID=62159069

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710236783.7A Pending CN108073672A (en) 2017-04-12 2017-04-12 Business object recommends method, apparatus and electronic equipment

Country Status (1)

Country Link
CN (1) CN108073672A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111147887A (en) * 2020-01-06 2020-05-12 网易(杭州)网络有限公司 Live broadcast service control method and device, computer readable medium and electronic equipment
CN111311420A (en) * 2020-02-21 2020-06-19 深圳市思迪信息技术股份有限公司 Business data pushing method and device
CN111488529A (en) * 2020-06-28 2020-08-04 腾讯科技(深圳)有限公司 Information processing method, information processing apparatus, server, and storage medium
CN113660203A (en) * 2021-07-09 2021-11-16 北京达佳互联信息技术有限公司 Anchor account processing method, device and system, electronic equipment and storage medium
CN116205536A (en) * 2023-03-06 2023-06-02 阿里巴巴(中国)有限公司 Object evaluation method, computing device, and readable storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140123161A1 (en) * 2012-10-24 2014-05-01 Bart P.E. van Coppenolle Video presentation interface with enhanced navigation features
CN104394126A (en) * 2014-11-07 2015-03-04 广州酷狗计算机科技有限公司 Information recommendation method, server, client side and system
CN105469263A (en) * 2014-09-24 2016-04-06 阿里巴巴集团控股有限公司 Commodity recommendation method and device
CN105978888A (en) * 2016-06-20 2016-09-28 郝运峰 Live broadcast studio virtual present recommendation method and system
CN106375792A (en) * 2016-10-13 2017-02-01 北京奇虎科技有限公司 Service object pushing and displaying method, server, terminals and system
CN106507120A (en) * 2016-10-13 2017-03-15 北京奇虎科技有限公司 A kind of processing method of business object, server, terminal and system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140123161A1 (en) * 2012-10-24 2014-05-01 Bart P.E. van Coppenolle Video presentation interface with enhanced navigation features
CN105469263A (en) * 2014-09-24 2016-04-06 阿里巴巴集团控股有限公司 Commodity recommendation method and device
CN104394126A (en) * 2014-11-07 2015-03-04 广州酷狗计算机科技有限公司 Information recommendation method, server, client side and system
CN105978888A (en) * 2016-06-20 2016-09-28 郝运峰 Live broadcast studio virtual present recommendation method and system
CN106375792A (en) * 2016-10-13 2017-02-01 北京奇虎科技有限公司 Service object pushing and displaying method, server, terminals and system
CN106507120A (en) * 2016-10-13 2017-03-15 北京奇虎科技有限公司 A kind of processing method of business object, server, terminal and system

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111147887A (en) * 2020-01-06 2020-05-12 网易(杭州)网络有限公司 Live broadcast service control method and device, computer readable medium and electronic equipment
CN111311420A (en) * 2020-02-21 2020-06-19 深圳市思迪信息技术股份有限公司 Business data pushing method and device
CN111488529A (en) * 2020-06-28 2020-08-04 腾讯科技(深圳)有限公司 Information processing method, information processing apparatus, server, and storage medium
CN111488529B (en) * 2020-06-28 2020-09-29 腾讯科技(深圳)有限公司 Information processing method, information processing apparatus, server, and storage medium
CN113660203A (en) * 2021-07-09 2021-11-16 北京达佳互联信息技术有限公司 Anchor account processing method, device and system, electronic equipment and storage medium
CN116205536A (en) * 2023-03-06 2023-06-02 阿里巴巴(中国)有限公司 Object evaluation method, computing device, and readable storage medium
CN116205536B (en) * 2023-03-06 2023-10-13 阿里巴巴(中国)有限公司 Object evaluation method, computing device, and readable storage medium

Similar Documents

Publication Publication Date Title
CN110909176B (en) Data recommendation method and device, computer equipment and storage medium
CN107273454B (en) User data classification method, device, server and computer readable storage medium
CN108073672A (en) Business object recommends method, apparatus and electronic equipment
US8543518B2 (en) Deducing shadow user profiles for ad campaigns
CN107346496B (en) Target user orientation method and device
CN102737334B (en) Micro-segment definition system
CN108021929A (en) Mobile terminal electric business user based on big data, which draws a portrait, to establish and analysis method and system
CN108073671A (en) Business object recommends method, apparatus and electronic equipment
CN110472154B (en) Resource pushing method and device, electronic equipment and readable storage medium
CN108090107A (en) Business object recommends method, apparatus, electronic equipment and storage medium
CN108280104A (en) The characteristics information extraction method and device of target object
CN108777701B (en) Method and device for determining information audience
Wang et al. Large-scale ensemble model for customer churn prediction in search ads
CN109785064A (en) A kind of mobile e-business recommended method and system based on Multi-source Information Fusion
KR20190015333A (en) Dynamic creative optimization to deliver content effectively
CN105678317B (en) Information processing method and server
CN109033408A (en) Information-pushing method and device, computer readable storage medium, electronic equipment
CN108073670A (en) Business object recommends method, apparatus and electronic equipment
CN108076387A (en) Business object method for pushing and device, electronic equipment
CN110109901A (en) The method and apparatus for screening target object
CN110717597A (en) Method and device for acquiring time sequence characteristics by using machine learning model
CN116862592B (en) Automatic push method for SOP private marketing information based on user behavior
Gao et al. Application of artificial intelligence and big data technology in digital marketing
CN110428277B (en) Touch method of recommended product, storage medium and program product
Zheng et al. A scalable purchase intention prediction system using extreme gradient boosting machines with browsing content entropy

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20180525

RJ01 Rejection of invention patent application after publication