CN107507027A - Advertisement putting control method and jettison system based on man-machine identification - Google Patents

Advertisement putting control method and jettison system based on man-machine identification Download PDF

Info

Publication number
CN107507027A
CN107507027A CN201710698653.5A CN201710698653A CN107507027A CN 107507027 A CN107507027 A CN 107507027A CN 201710698653 A CN201710698653 A CN 201710698653A CN 107507027 A CN107507027 A CN 107507027A
Authority
CN
China
Prior art keywords
content
man
machine identification
machine
behavioural characteristic
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
CN201710698653.5A
Other languages
Chinese (zh)
Inventor
洪倍
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.)
Shanghai Fine Count Mdt Infotech Ltd
Original Assignee
Shanghai Fine Count Mdt Infotech 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 Shanghai Fine Count Mdt Infotech Ltd filed Critical Shanghai Fine Count Mdt Infotech Ltd
Priority to CN201710698653.5A priority Critical patent/CN107507027A/en
Publication of CN107507027A publication Critical patent/CN107507027A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G06Q30/0242Determining effectiveness of advertisements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35Clustering; Classification

Abstract

The invention discloses a kind of advertisement putting control method based on man-machine identification, it includes:Advertisement playing request is received, plays the first ad content with man-machine identification material;Receive the first operation that client is sent, being triggered according to the first ad content;According to the behavioural characteristic model pre-set, man-machine identification is carried out to the triggering main body of the described first operation;Wherein, the behavioural characteristic model is:If obtained according to dry run sample training, human manipulation and the grader of machine operation;When the recognition result of the first operation is less than threshold value, the second ad content is launched to the client.The invention also discloses the advertisement delivery system based on man-machine identification.

Description

Advertisement putting control method and jettison system based on man-machine identification
Technical field
The present invention relates to technical field of network multimedia, more particularly to a kind of advertisement putting controlling party based on man-machine identification Method, and advertisement delivery system.
Background technology
The charging that moving advertising transaction is mainly consumed using equipment as unit, such as CPC is (according to pointing device number meter Take), CPM (according to the charging of exposure sources number), CPA (according to the charging of activation equipment number).As advertisement is paid increasingly to movement End tilts, the true degree more and more higher of plan of in the market virtual unit.Existing anti-cheating method be mostly based on device identification and its Derivative means are judged, but profit is only capable of accomplishing ex-post analysis in this way, it is impossible to accomplish Prior Control.
The content of the invention
In order to help advertiser and service provider to solve this problem, inventor expects a kind of interesting, easily received wide Accuse and launch control method, it carries man-machine identification function, can accomplish Prior Control, not only save tranaction costs, moreover it is possible to avoid Invalid dispensing occupied bandwidth.
According to present invention one side, the present invention provides a kind of advertisement putting control method based on man-machine identification, its Including:
Advertisement playing request is received, plays the first ad content with man-machine identification material;
Receive the first operation that client is sent, being triggered according to the first ad content;
According to the behavioural characteristic model pre-set, man-machine identification is carried out to the triggering main body of the described first operation;Its In, the behavioural characteristic model is:If obtained according to dry run sample training, human manipulation and the grader of machine operation;
When the recognition result of the first operation is less than threshold value, the second ad content is launched to the client.
Preferably, the first ad content prompting triggering main body for man-machine identification carries out first operation.
Preferably, the prompting includes semantic prompting and voice message.
Preferably, first operation is the semantic operation client according to first ad content.
Alternatively, when receiving the advertisement playing request, the portion material of second ad content can be preloaded.
Alternatively, when the recognition result of the first operation is less than threshold value, second ad content of preloading is played.
According to second aspect of the present invention, the present invention provides a kind of advertisement delivery system based on man-machine identification, and it includes:
First advertising unit, the material of the first ad content is stored, launch the first ad content;
Second advertising unit, the material of the second ad content is stored, launch the second ad content;
First authentication unit, gather the first operation triggered according to the first ad content, the triggering to the described first operation Main body carries out man-machine identification.
Preferably, the first ad content prompting triggering main body for man-machine identification carries out first operation.
Preferably, the prompting includes semantic prompting and voice message.
Preferably, first operation is the semantic operation client according to first ad content.
Preferably, first authentication unit includes:
First acquisition module, for gathering the first operation triggered according to the first ad content;With
First identification module, according to the behavioural characteristic model pre-set, the triggering main body of the described first operation is entered Pedestrian's machine identifies;Wherein, the behavioural characteristic model is:If obtained according to dry run sample training, human manipulation and machine The grader of operation.
Preferably, when the recognition result that the first authentication unit obtains is less than threshold value, the second advertising unit of triggering launches the Two ad contents.
Alternatively, when the first advertising unit launches the first ad content, the portion material of the second ad content is preloaded.
Alternatively, when the recognition result of the first operation is less than threshold value, the second ad content of preloading is launched.
According to third aspect of the present invention, the present invention provides a kind of advertisement putting control method based on man-machine identification, its Including:
Advertisement playing request is received, plays the ad content with man-machine identification function;
Receive the first operation that client is sent, being triggered according to the ad content;
According to the behavioural characteristic model pre-set, man-machine identification is carried out to the triggering main body of the described first operation;Its In, the behavioural characteristic model is:If obtained according to dry run sample training, human manipulation and the grader of machine operation.
Preferably, the ad content prompting triggering main body with man-machine identification function carries out first operation.
Preferably, the prompting includes semantic prompting and voice message.
Preferably, first operation is the semantic operation client according to the ad content.
According to the 4th aspect of the present invention, the present invention provides a kind of advertisement play system with man-machine identification function, its Including:
Advertisement rendering unit, the ad content of man-machine identification prompting material is stored, renders and plays the ad content;
Authentication unit, the first operation triggered according to the ad content is gathered, to the triggering main body of the described first operation Carry out man-machine identification.
Preferably, the ad content prompting triggering main body with man-machine identification function carries out first operation.
Preferably, the prompting includes semantic prompting and voice message.
Preferably, first operation is the semantic operation client according to the ad content.
Preferably, the authentication unit includes:
Acquisition module, for gathering the first operation triggered according to ad content;With
Identification module, according to the behavioural characteristic model pre-set, pedestrian is entered to the triggering main body of the described first operation Machine identifies;Wherein, the behavioural characteristic model is:If obtained according to dry run sample training, human manipulation and machine operation Grader.
Brief description of the drawings
The preferred embodiments of the present invention will be described in detail by referring to accompanying drawing below, and make one of ordinary skill in the art more The above and other feature and advantage of the clear present invention, in accompanying drawing:
Fig. 1 is the flow chart of method according to the first aspect of the invention;
Fig. 2 is the schematic diagram of system according to the second aspect of the invention;
Fig. 3 is the work sheet of system according to the second aspect of the invention;
Fig. 4 is the flow chart of method according to the third aspect of the invention we;
Fig. 5 is the schematic diagram of system according to the fourth aspect of the invention.
Embodiment
In the following description, a large amount of concrete details are given to provide more thorough understanding of the invention.So And it will be apparent to one skilled in the art that the present invention can be able to without one or more of these details Implement.In other examples, in order to avoid obscuring with the present invention, do not enter for some technical characteristics well known in the art Row description.
Turing test (Turingtest) be that figure spirit proposes in nineteen fifty one is on judging whether machine can be thought deeply Famous experiment, test the intelligence that whether certain machine can show and people is of equal value or cannot be distinguished by.Carrying out turing test is typically Computer as server automatically generates a problem and answered by user, and this problem can be generated and commented by computer Sentence, but must only have the mankind to answer, because computer can not answer.
Internet arena is taken an overall view of, forefathers have found in research process, as person's handwriting can prove a people as fingerprint Personal feature it is the same, everyone carried out on PC webpages or touch-screen interactive operation behavioural habits possess have uniqueness Biological characteristic, for example, habitually mouse translational speed during people's operating computer, or the custom such as click location preference, it is machine It can not simulate.This technology has been applied under the scene that user logs in or prevents from excessively downloading, substantially as acquisition The pass of a certain mandate.
In field of advertisement spotting, advertiser and the specific identity for paying no attention to watching the object of advertisement, advertisement exposure is only focused on Object whether be the real mankind that can be converted into purchase.More specifically, advertiser pays close attention to whether this mankind is energy Understand the individual of ad content, such as it is also invalid that advertisement, which plays to the baby of false touch screen,.
Therefore, in the embodiment of the present application, the behavioural characteristic model of various dimensions by machine learning, can be clustered out, after It is continuous whether to possess biological characteristic by the biological characteristic model come the interactive operation that determining server is currently received, so as to More accurately carry out man-machine identification.The technology applies first purpose in field of advertisement spotting whether to be to determine this exposure Count, if it is determined that initiate request for the mankind, then count;Conversely, then disregarding, advertiser need not be this time exposure payment.With It is existing by ex-post analysis amendment count unlike:The present invention method can realize Prior Control, i.e., advertisement putting it Whether the preceding main body for judging to initiate request is the mankind, so as to avoid wasting the bandwidth of media (advertising service business).
As shown in FIG. 1 to 3, it is generally the case that access advertisement page from client, Advertisement Server receives advertisement and broadcast Request is put, jumps to advertising content page, asked ad content is returned to client.
In the present invention, Advertisement Server is first returned for man-machine knowledge when receiving advertisement playing request to client Other first ad content, the client of request is initiated because of described first by the first acquisition module collection of the first authentication unit Ad content and trigger first operation.
First identification module of the first authentication unit operates according to the behavioural characteristic model pre-set to described first Triggering main body carry out man-machine identification;Wherein, the behavioural characteristic model is:If obtained according to dry run sample training, people Generic operation and the grader of machine operation.
First ad content includes voice or semantic prompting.With current equipment virtual technology, None- identified language is gone back Sound or semantic prompting.Such as " please yellow bread is placed in purple pocket ", even if can recognize that the words, the virtual skill of equipment Art can not also realize the action of " yellow bread is placed on purple pocket ", and the mankind then can easily complete this action.
Pass through such mode, it is easy to which ground carries out man-machine identification, and great entertaining, acceptance are higher.
When the result of identification is less than default threshold value, it is believed that initiate request for the mankind.Then to the client Launch the second ad content.Second ad content is that formal ad content participates in exposure counting.
Certainly, it is artificial defined that fraction belongs to the mankind to belong to the mankind again below threshold value higher than threshold value.For example, artificially set Determine machine 10 to divide, the mankind be 0 point, then higher than threshold value when be machine.Opposite setting can then obtain opposite result.In order to facilitate table State, in the present invention, it is machine (virtual unit) that we, which are provided higher than threshold decision,.It will be understood by those skilled in the art that base In the thought of the present invention, term " be higher than threshold value " refers to be judged as closer machine, and is not limited to being higher than mathematically.Accordingly Ground, term " being less than threshold value " refer to be judged as closer to the mankind.
In the present invention, can be as needed, train behavioural characteristic model using known various methods.
Such as:When the described first operation does defined slide according to prompting on the touchscreen for triggering main body, its behavior The training process of characteristic model may comprise steps of:
Step A11:If according to the operation translational speed and operation degree of randomness of dry run sample, if to the dry run sample Carry out pre-filtering.
It is possible, firstly, to several operation samples are got, for example, 100 can be chosen from the existing database of server As operation sample, it can be user gesture that once server responded to have operated for individual stored operation, Can be the machine behavior that server was once refused, these operations are used for training behavioural characteristic model as operation sample.
The operation data of equipment can be extracted in database:Including facility information and behavioural information.
In facility information, browsing by which version number when browser information can be corresponding operation sample triggering Device, operating system can represent corresponding to operation sample triggering when be by which kind of operating system, such as android is still Windows etc., hardware information can represent corresponding to No. MEI of mobile terminal of operation sample when being triggered, or computer The information such as IP address.
In behavioural information, mouse movement can be the track of corresponding operation sample mouse position when being triggered, mouse It can be the click location information of mouse on a display screen when corresponding operation sample is triggered to click on, and user key-press can be pair Which button user presses on touch-screen when the operation sample answered is triggered.Certainly, it is more than in the database of server It is stored with above- mentioned information type.
Then, the behavioural characteristic data of the operation sample extracted in subordinate act information, such as:Duration is slided in operation.
Operation slides duration and refers to the corresponding total time operated when sample is operated.In actual applications, in order to more The feature of sub-dividing operations sample, it can will slide duration and be divided into N sections, N can take 20~50, it is of course also possible to according to actual need Ask and other numerical value are set.So, it is just i-th section of track duration that each section, which is slided duration T (i),.Each field offset center line number O (i) it is exactly that after operation trace is divided into N sections, the number of i-th section of operation trace skew axis is O (i), wherein, operation trace The once shake of middle track up or down can regard axis of skew as, and axis is the axis of operation trace.Often One section of mean deviation distance OV (i) is that operation trace is divided into N sections, the average value OV of the distance of i-th section of course deviation axis (i).Initial position D (x, y) when operation is triggered is the starting point of operation trace, and operates final position U when being released (x, y) is the terminal of operation trace.
In actual applications, those skilled in the art can select any behavioural characteristic data to carry out man-machine identification, or Person can select the behavioural characteristic data of any combination to carry out man-machine identification.For example, only select that operation slides duration as row Data are characterized, or, select each section of operation to slide duration, each field offset center line number and each section of mean deviation distance As behavioural characteristic data, or, selection operation triggering initial position and operation triggering final position as behavioural characteristic data, Etc..The species of behavioural characteristic data is how many or the selection of behavioural characteristic data has no effect on the realization of the application.
, can be according to the operation translational speed of these operation samples after the behavioural characteristic data of operation sample are extracted With operation degree of randomness, if to the dry run sample carry out pre-filtering.Wherein, the track that translational speed represents operation sample is operated Translational speed, if operation translational speed is too fast or operation traveling time it is short may be exactly machine behavior, such as 100ms with It is interior, then it is assumed that corresponding operation sample is obvious machine behavior, and this operation sample is filtered out.And operate degree of randomness then table Show the situation that the track of operation sample is shaken up and down, for example, an operation sample there is no shake up and down, be also considered as its category In obvious machine behavior, this operation sample can also be filtered out.
Behavioural characteristic data of the step A12. using such as principal component analysis PCA algorithms to the operation sample after pre-filtering Dimensionality reduction is carried out, subsequently to be classified based on SVM (SVMs).
Step A13. is classified using support vector machines algorithm to the behavioural characteristic data after dimensionality reduction, to be accorded with The first kind behavioural characteristic vector sum of conjunction Biology seed coating meets the grader of the second class behavior characteristic vector of machine behavior.
After step A12 carries out dimensionality reduction, then it is classified using SVM in this step, so as to obtain two Class behavior characteristic, one kind are to meet the first kind behavioural characteristic data of Biology seed coating, and this kind of behavioural characteristic data are corresponding Human behavior, another kind of is the second class behavior characteristic for meeting machine behavior, and this kind of behavioural characteristic data have corresponded to machine Behavior.
Realize that the method for training behavioural characteristic model is not limited to this sets of plan of above-mentioned offer in the present invention.This area skill Art personnel can be needed to find other available schemes according to this thinking based on design, it is only necessary to which satisfaction can recognize that people Class behavior feature.
In certain embodiments of the present invention, avoid period of reservation of number long, the first ad content can played When preload the portion material of the second ad content, such as carrying advertisement piece is first-class.Once the man-machine identification of the first ad content It is verified, the second ad content can be played immediately, with broadcasting, continues to load remaining material of the second ad content.This The scheme of sample can balance between occupied bandwidth and period of reservation of number, obtain a user and experience more preferable solution.
As shown in Figures 4 and 5, the present invention other embodiments in, using man-machine identification provided by the present invention as Main checking means.Advertiser directly directly makes ad material the pattern with man-machine identification function.Such as:Certain beverage Advertisement, prompts to turn around pop bottle, then triggers other sales promotion information.Then gather this control pop bottle turn around it is dynamic Make, can be as the basis of man-machine identification.
The advantage of the invention is that make use of the difference of the mankind with machine substantially to carry out man-machine identification, equipment is used than pure Information Authentication is much more accurate.And the characteristics of taking full advantage of advertisement, in the case where not increasing burden for users, realize people Machine identifies.And the data of more various dimensions are acquired, provide data for follow-up data analysis, it is most important that those dimensions Data be not related to individual privacy.
The invention is not restricted to above-mentioned embodiment, and various changes can be carried out in the scope of the inventive concept.The present invention It is illustrated by above-described embodiment, but it is to be understood that, the purpose that above-described embodiment is only intended to illustrate and illustrated, And it is not intended to limit the invention in described scope of embodiments.In addition it will be appreciated by persons skilled in the art that originally Invention is not limited to above-described embodiment, according to present invention teach that more kinds of variants and modifications can also be made, these modifications All fallen within modification within scope of the present invention.Protection scope of the present invention by the appended claims and its Equivalent scope is defined.

Claims (10)

1. a kind of advertisement putting control method based on man-machine identification, it includes:
Advertisement playing request is received, plays the first ad content with man-machine identification material;
Receive the first operation that client is sent, being triggered according to the first ad content;
According to the behavioural characteristic model pre-set, man-machine identification is carried out to the triggering main body of the described first operation;Wherein, institute Stating behavioural characteristic model is:If obtained according to dry run sample training, human manipulation and the grader of machine operation;
When the recognition result of the first operation is less than threshold value, the second ad content is launched to the client.
2. according to the method for claim 1, wherein the first ad content prompting triggering main body for man-machine identification Carry out first operation.
3. according to the method for claim 2, wherein the prompting includes semantic prompting and voice message.
4. according to the method for claim 2, wherein first operation is to be grasped according to the semanteme of first ad content Make client.
Wherein when receiving the advertisement playing request, 5. described second according to the method for claim 1, can be preloaded The portion material of ad content.
6. according to the method for claim 5, play preloading wherein when the recognition result of the first operation is less than threshold value Second ad content.
7. a kind of advertisement delivery system based on man-machine identification, it includes:
First advertising unit, the material of the first ad content is stored, launch the first ad content;
Second advertising unit, the material of the second ad content is stored, launch the second ad content;
First authentication unit, the first operation triggered according to the first ad content is gathered, to the triggering main body of the described first operation Carry out man-machine identification.
8. system according to claim 7, wherein first authentication unit includes:
First acquisition module, for gathering the first operation triggered according to the first ad content;It is pre- with the first identification module, foundation The behavioural characteristic model first set, man-machine identification is carried out to the triggering main body of the described first operation;Wherein, the behavioural characteristic Model is:If obtained according to dry run sample training, human manipulation and the grader of machine operation.
9. system according to claim 7, wherein when the recognition result that the first authentication unit obtains is less than threshold value, triggering Second advertising unit launches the second ad content.
10. system according to claim 7, wherein when the first advertising unit launches the first ad content, the is preloaded The portion material of two ad contents.
CN201710698653.5A 2017-08-15 2017-08-15 Advertisement putting control method and jettison system based on man-machine identification Pending CN107507027A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710698653.5A CN107507027A (en) 2017-08-15 2017-08-15 Advertisement putting control method and jettison system based on man-machine identification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710698653.5A CN107507027A (en) 2017-08-15 2017-08-15 Advertisement putting control method and jettison system based on man-machine identification

Publications (1)

Publication Number Publication Date
CN107507027A true CN107507027A (en) 2017-12-22

Family

ID=60691909

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710698653.5A Pending CN107507027A (en) 2017-08-15 2017-08-15 Advertisement putting control method and jettison system based on man-machine identification

Country Status (1)

Country Link
CN (1) CN107507027A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108200450A (en) * 2018-01-12 2018-06-22 武汉斗鱼网络科技有限公司 A kind of determining method, apparatus, electronic equipment and medium for paying close attention to legitimacy

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120246737A1 (en) * 2011-03-24 2012-09-27 AYaH, LLC Method for generating a human likeness score
CN105279674A (en) * 2015-10-13 2016-01-27 精硕世纪科技(北京)有限公司 Method and device for determining cheating behaviors of mobile advertisement delivering device
CN106022834A (en) * 2016-05-24 2016-10-12 腾讯科技(深圳)有限公司 Advertisement against cheating method and device
CN106155298A (en) * 2015-04-21 2016-11-23 阿里巴巴集团控股有限公司 Man-machine recognition methods and device, the acquisition method of behavior characteristics data and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120246737A1 (en) * 2011-03-24 2012-09-27 AYaH, LLC Method for generating a human likeness score
CN106155298A (en) * 2015-04-21 2016-11-23 阿里巴巴集团控股有限公司 Man-machine recognition methods and device, the acquisition method of behavior characteristics data and device
CN105279674A (en) * 2015-10-13 2016-01-27 精硕世纪科技(北京)有限公司 Method and device for determining cheating behaviors of mobile advertisement delivering device
CN106022834A (en) * 2016-05-24 2016-10-12 腾讯科技(深圳)有限公司 Advertisement against cheating method and device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108200450A (en) * 2018-01-12 2018-06-22 武汉斗鱼网络科技有限公司 A kind of determining method, apparatus, electronic equipment and medium for paying close attention to legitimacy
CN108200450B (en) * 2018-01-12 2019-11-15 武汉斗鱼网络科技有限公司 A kind of determination method, apparatus, electronic equipment and medium for paying close attention to legitimacy

Similar Documents

Publication Publication Date Title
US11687631B2 (en) Method for generating a human likeness score
Oh et al. Clicking, assessing, immersing, and sharing: An empirical model of user engagement with interactive media
Ghandeharioun et al. Emma: An emotion-aware wellbeing chatbot
US8561097B2 (en) Multimedia content viewing confirmation
US8607143B2 (en) Multimedia content viewing confirmation
EP2242016A1 (en) Touchpoint customization system
US8589794B2 (en) View confirmation using a challenge
Finger et al. Ask, measure, learn: using social media analytics to understand and influence customer behavior
WO2010026462A1 (en) Multimedia content viewing confirmation
WO2013074515A1 (en) Systems and methods for capturing codes and delivering increasingly intelligent content in response thereto
CN110474944A (en) Processing method, device and the storage medium of the network information
CN106921724A (en) Game promotion content processing method and device
CN107615324A (en) System and method for providing advertisement in interactive environment
CN107491991A (en) Based on the man-machine recognition methods rocked and apply its advertisement placement method and system
CN107507027A (en) Advertisement putting control method and jettison system based on man-machine identification
Zhao et al. Association rules analysis between brand post characteristics and consumer engagement on social media
Boon et al. Mobile advertising: An insight of consumers’ attitude
CN115526659A (en) Data analysis method, device, equipment and storage medium based on questionnaire
Lukyanova et al. Factors of Temporal Behavior in Online Media: What Shapes Time on Internet?
CN111127075B (en) Interactive popularization method and device, electronic equipment and storage medium
JP2015049545A (en) Promoted questionnaire program and questionnaire system
CN113365131B (en) Electronic red packet information processing method, device and equipment
Goncalves Situated crowdsourcing: feasibility, performance and behaviours
Trahms et al. Towards prediction of user experience from touch interactions with mobile applications
KR102646116B1 (en) Artist music ranking and event voting service system

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
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20171222

WD01 Invention patent application deemed withdrawn after publication