CN110113634A - A kind of information interaction method, device, equipment and storage medium - Google Patents
A kind of information interaction method, device, equipment and storage medium Download PDFInfo
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- CN110113634A CN110113634A CN201910222056.4A CN201910222056A CN110113634A CN 110113634 A CN110113634 A CN 110113634A CN 201910222056 A CN201910222056 A CN 201910222056A CN 110113634 A CN110113634 A CN 110113634A
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- Prior art keywords
- barrage
- user
- data
- along sort
- tag along
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/252—Processing of multiple end-users' preferences to derive collaborative data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/488—Data services, e.g. news ticker
- H04N21/4884—Data services, e.g. news ticker for displaying subtitles
Abstract
The embodiment of the present invention provides a kind of information interaction method, device, equipment and storage medium, is related to information technology field.Wherein, this information interaction method includes: the historical record data according to user, constructs user model；According to default barrage tag along sort, the barrage data set of each tag along sort is obtained；The user model and the tag along sort are matched, the barrage data set for meeting the user model is obtained and is exported.The present invention is shown by screening barrage relevant to user interest, can be reduced video barrage quantity and not influenced interaction effect, improve user experience.
Description
Technical field
The present invention relates to information technology fields, in particular to a kind of information interaction method, device, equipment and storage
Medium.
Background technique
In new media field, the living broadcast interactive of user is very crucial.As user interaction mode rapidly develops, bullet
Curtain technology is increasingly becoming the common features of video playing, and user can realize information interaction by barrage system.However, video barrage
It too intensively will affect the viewing experience of user, and close barrage system and interaction effect is then not achieved.
Summary of the invention
In view of this, be designed to provide a kind of information interaction method, device, equipment and the storage of the embodiment of the present invention are situated between
Matter can reduce video barrage quantity and not influence interaction effect, improve user experience.
The embodiment of the invention provides a kind of information interaction methods, comprising:
According to the historical record data of user, user model is constructed；
According to default barrage tag along sort, the barrage data set of each tag along sort is obtained；
It matches the user model and the tag along sort, obtains the barrage data set for meeting the user model and defeated
Out.
Preferably, according to the historical record data of user, the step of constructing user tag, includes:
According to the historical record data of user, user characteristic data is obtained；Wherein, the historical record of the user includes:
Historical viewings video, history deliver video, history barrage discusses in data and historical review data at least one；
Based on deep learning technology, the user characteristic data is trained using deep neural network, obtains user
Model；
Store the user model.
Preferably, it according to default barrage tag along sort, before the barrage data set for obtaining each tag along sort, also wraps
It includes:
Based on barrage data critical word, removal repeats barrage data.
It is preferably based on barrage data critical word, removing the step of repeating barrage data includes:
Obtain every barrage data at least one keyword；
Based on the keyword, the similarity between every barrage is calculated；
When the similarity is greater than default similarity threshold, wherein a highest barrage of similarity is classified simultaneously for selection
Removal repeats barrage data.
Preferably, the user model and the tag along sort are matched, the barrage data for meeting the user model are obtained
Collect and includes: the step of output
The user model and the tag along sort are matched, the subtab for meeting the user model is obtained；
Barrage number, barrage publisher identity information, barrage publication in barrage data set based on the subtab
Temporal information sorts to the subtab；
Barrage data set before output sequence in 10 subtab.
Preferably, after the barrage data set before output sequence in the 10 subclassification label further include:
Simultaneously hyperlink is connected to corresponding barrage data set to the 10 subtab title before output sequence；
At least one described subtab title is selected, corresponding barrage data set is exported.
The embodiment of the invention also provides a kind of information interaction devices, comprising:
Model construction unit constructs user model for the historical record data according to user；
Taxon, for obtaining the barrage data set of each tag along sort according to default barrage tag along sort；
Output unit is matched, for matching the user model and the tag along sort, acquisition meets the user model
Barrage data set and export.
Preferably, further includes:
Duplicate removal unit, for being based on barrage data critical word, removal repeats barrage data.
The embodiment of the invention also provides a kind of electronic equipment, including memory, processor and storage are on a memory simultaneously
The computer program that can be run on a processor, the processor realize above-mentioned information interaction when executing the computer program
Method.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, the journey
Above-mentioned information interaction method is realized when sequence is executed by processor.
A kind of information interaction method, device, equipment and storage medium provided by the invention pass through the browsing number of user's history
Pass through the classification with tag along sort library according to the user model for establishing labeling, and by the barrage data information in each video
Label is matched, and the barrage data set that is the theme with tag along sort word is formed, finally by by the label and bullet of user model
The tag along sort word of curtain data set match, the higher barrage data set of final output matching degree.The present embodiment passes through sieve
It selects barrage relevant to user interest to be shown, video barrage quantity can be reduced and does not influence interaction effect, improve user
Experience sense.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the flow diagram of the first embodiment of information interaction method provided by the invention；
Fig. 2 is the flow diagram of one embodiment that the S10 step of Fig. 1 includes later；
Fig. 3 is the flow diagram of one embodiment that the S30 step of Fig. 2 includes later；
Fig. 4 is the structural schematic diagram of the second embodiment of information interaction device provided by the invention.
Icon: 10- model construction unit；20- taxon；30- matches output unit.
Specific embodiment
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, is not intended to limit claimed invention to the detailed description of the embodiment of the present invention provided in the accompanying drawings below
Range, but it is merely representative of selected embodiment of the invention.Based on the embodiment of the present invention, those skilled in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.Meanwhile of the invention
In description, term " first ", " second " etc. are only used for distinguishing description, are not understood to indicate or imply relative importance.
FIG. 1 to FIG. 3 is please referred to, the first embodiment of the present invention provides a kind of information interaction method, can be by information interaction
Equipment executes, and includes at least following steps:
S10 constructs user model according to the historical record data of user.
Wherein, in the present embodiment, the information interaction equipment may be, for example, a server or have data processing
It with the terminal of transmitting-receiving ability, is equipped with corresponding computer program (such as a middleware), and by executing the calculating
Machine program realizes the information interaction method of the present embodiment.
Wherein, in a preferred embodiment of the invention, the specific steps of S10 include:
S101 obtains user characteristic data according to the historical record data of user；Wherein, the historical record of the user
It include: that historical viewings video, history deliver video, history barrage discusses in data and historical review data at least one；
S102 is based on deep learning technology, is trained using deep neural network to the user characteristic data, is obtained
User model；
S103 stores the user model.
In the present embodiment, the historical record data of the information interaction equipment acquisition user, including historical viewings video,
History delivers video, history barrage discusses data or historical review data, and then the information interaction equipment is to the history got
It records data and carries out keyword extraction referring to keyword database, and keyword is converted into term vector, these term vectors are with regard to shape
At user characteristic data.Wherein, historical viewings video and history deliver the keyword extraction of video, can be from the mark of history video
Topic, the introduction of history video content, history video tab etc. are extracted about the text information of video, so as to form the spy of user
Levy data.And the prior art can be used in the method that keyword and keyword are converted into term vector, here with regard to not repeated.
The deep learning technology refer to by combination low-level feature formed it is more abstract it is high-rise indicate attribute classification or
Feature, to find that the distributed nature of data indicates, it is a kind of based on the side that data are carried out with representative learning in machine learning
Method realizes feature learning and layered characteristic with non-supervisory formula or Semi-supervised and extracts highly effective algorithm to substitute acquisition spy by hand
Sign, is a new field in machine learning research, and motivation is to establish, simulate the nerve net that human brain carries out analytic learning
Network.Train deep neural network using the characteristic of the term vector form, deep neural network by input layer, hidden layer and
Output layer composition, input layer receive the characteristic of term vector form, and hidden layer records the characteristic information inputted, output layer
Output probability distribution, for predicting keyword, ultimately generating using keyword as the user model of label and being stored in user model
In library.Moreover, after the completion of deep neural network training, for new user data, using the deep neural network after training come
The extraction for carrying out keyword can constantly update user model to enrich labeling information.
S20 obtains the barrage data set of each tag along sort according to default barrage tag along sort.
Specifically, in the present embodiment, it can be according to preset tag along sort in barrage tag along sort library, to institute
It states barrage information and carries out tag along sort lexicon String matching, to detect whether the barrage information includes the tag along sort word, when
When detecting that the barrage information includes any tag along sort word in the tag library, i.e., the barrage information is distributed to institute
It states under the record of tag along sort entry word, ultimately forms the barrage data set being the theme with tag along sort word.Wherein, the barrage classification
Tag along sort word in tag library can be by manually presetting, and may be with multiple tag along sort words all in every barrage information
It can match, therefore every barrage information can be assigned in different barrage data sets.
In the present embodiment, video server receives the barrage information that sends by user terminal of user, to the information into
Row is aggregated to form barrage message queue, the barrage information is successively sent to information interaction equipment, information interaction equipment receives
The matching of tag along sort word is carried out to each barrage information respectively after to barrage information, when the barrage information and the contingency table
When any tag along sort word in label library all mismatches, barrage information progress keyword extraction is formed into new tag along sort
Word is simultaneously stored in tag along sort library.When the barrage information is matched with any tag along sort word in the tag along sort library
When, i.e., the barrage information is distributed to tag along sort entry word record, ultimately forms and be the theme with tag along sort word
Barrage data set.
S30, matches the user model and the tag along sort, and acquisition meets the barrage data set of the user model simultaneously
Output.
Specifically, in the present embodiment, in a preferred embodiment of the invention, the specific steps of S30 include:
S301 matches the user model and the tag along sort, obtains the subtab for meeting the user model；
S302, barrage number, barrage publisher identity information, barrage in the barrage data set based on the subtab
Issuing time information sorts to the subtab；
S303, the barrage data set before output sequence in 10 subtab.
Specifically, in the present embodiment, user is watched the tag along sort and user's mould of video by the information interaction equipment
The label of type is matched, when any tag along sort word in the label of the user model tag along sort all with the video matches
When, which is labeled as to meet the subtab of user model.The barrage number for then being included according to the subtab
According to barrage number, barrage publisher identity information, the barrage issuing time information in collection, sort to the subtab, such as
It is sorted with the subtab more than barrage number in preceding or publisher's identity user model subtab similar with this user model
Sequence in the sequence of preceding or barrage issuing time information subtab preceding, with being configured according to demand, final information
Barrage data set of the interaction device into before user terminal output sequence 10 subtab.
A kind of information interaction method that the first embodiment of the present invention provides establishes mark by the browsing data of user's history
The user model of labelization, and by the barrage information in each video by being carried out with the tag along sort in tag along sort library
Match, form the barrage data set that is the theme with tag along sort word, finally by by the label of user model and barrage data set
Tag along sort word match, the higher barrage data set of final output matching value.The present embodiment is emerging with user by screening
The relevant barrage of interest is shown, can be reduced video barrage quantity and not influenced interaction effect, improve user experience.
Referring to FIG. 2, on the basis of first embodiment, in a preferred embodiment, according to default barrage contingency table
It signs, before the barrage data set for obtaining each tag along sort, further includes:
S31, is based on barrage data critical word, and removal repeats barrage data.
In one video, it often will appear a large amount of repeated barrage data information, not only influence the body of viewing video
It tests, also can't see the barrage data information for wanting interaction.Therefore those are repeated into barrage data and carries out duplicate removals, regular, conducive to mentioning
High user experience.
Specifically, in the preferred embodiment, it is based on barrage data critical word, removal repeats the step of barrage data
Suddenly include:
S311 obtains every barrage data at least one keyword；
S312 is based on the keyword, calculates the similarity between every barrage；
S313, when the similarity is greater than default similarity threshold, wherein the highest barrage of a similarity is carried out for selection
Classify and removes repetition barrage data.
In the present embodiment, the information interaction equipment can be obtained the barrage data using algorithm and be filtered out about institute
State at least one keyword of barrage data.When specifically, at least one keyword of extraction of the barrage data progress of video,
The information interaction equipment can use TextRank algorithm, extract the keyword in every barrage data of video.And
TextRank algorithm is the common technology of keyword extraction, is the prior art, just repeats no more here.The information interaction equipment
It can also be extracted using the barrage data critical word that LDA algorithm, TPR algorithm carry out video, but not limited to this.Extract every bullet
It, can be according to the number of iterations of keyword as the similarity between every barrage after the keyword of curtain data.When the similarity
Greater than default similarity threshold, chooses a wherein highest barrage of similarity and carry out being sorted into barrage data set, and remove
Repeat barrage data.Wherein, it is to repeat barrage without display that removal, which repeats barrage data,.The step eliminates in video
It is a large amount of to repeat barrage data, but wherein one is remained, neither influence user interaction, and raising user experience.
Referring to FIG. 3, on the basis of first embodiment, in a preferred embodiment, before output sequence 10 it is described
After barrage data set in subclassification label further include:
S41, the 10 subtab title and hyperlink is connected to corresponding barrage data set before output sequence；
S42 selects at least one described subtab title, exports corresponding barrage data set.
In the present embodiment, the subtab for meeting user model is subjected to hyperlink output, makes that the subtab can be carried out
Selection, selects the barrage data set in the subtab oneself liked to be shown, further simplifies barrage quantity, but not
The Interactive Experience sense for influencing user carries out the right that barrage shows selection to user.
The second embodiment of the present invention provides a kind of information interaction device, comprising:
Model construction unit 10 constructs user model for the historical record data according to user；
Taxon 20, for obtaining the barrage data set of each tag along sort according to default barrage tag along sort；
Output unit 30 is matched, for matching the user model and the tag along sort, acquisition meets user's mould
The barrage data set of type simultaneously exports.
Preferably, further includes:
Duplicate removal unit, for being based on barrage data critical word, removal repeats barrage data.
Preferably, further includes:
Hyperlink unit, the subtab title and hyperlink for before output sequence 10 are connected to corresponding barrage data
Collection；
Output unit is selected to export corresponding barrage data set for selecting at least one described subtab title.
Preferably, the model construction unit 10 specifically includes:
Feature obtains module, for the historical record data according to user, obtains user characteristic data；Wherein, the use
The historical record at family includes: historical viewings video, history delivers video, history barrage is discussed in data and historical review data at least
One；
Model obtains module, for being based on deep learning technology, using deep neural network to the user characteristic data
It is trained, obtains user model；
Storage module, for storing the user model.
Preferably, the matching output unit 30 specifically includes:
Matching module obtains the son for meeting the user model for matching the user model and the tag along sort
Label；
Sorting module, for barrage number, the barrage publisher's identity in the barrage data set based on the subtab
Information, barrage issuing time information sort to the subtab；
Output module, for the barrage data set in front of output sequence 10 subtab.
Preferably, the duplicate removal unit specifically includes:
Keyword obtains module, for obtaining every barrage data at least one keyword；
Computing module calculates the similarity between every barrage for being based on the keyword；
It is highest to choose a wherein similarity for being greater than default similarity threshold when the similarity for comparison module
Barrage is classified and removes repetition barrage data.
The third embodiment of the present invention additionally provides a kind of electronic equipment, including memory, processor and is stored in storage
On device and the computer program that can run on a processor, the processor realize above-mentioned implementation when executing the computer program
The information interaction method of example.
The fourth embodiment of the present invention additionally provides a kind of computer readable storage medium, is stored thereon with computer journey
Sequence, the program realize the information interaction method of above-described embodiment when being executed by processor.
Illustratively, computer program described in the embodiment of the present invention can be divided into one or more modules, described
One or more module is stored in the memory, and is executed by the processor, to complete the present invention.It is one
Or multiple modules can be the series of computation machine program instruction section that can complete specific function, the instruction segment is described for describing
Implementation procedure of the computer program in the realization server apparatus.For example, device described in second embodiment of the invention.
Alleged processor can be central processing unit (Central Processing Unit, CPU), can also be it
His general processor, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(APPlication Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng the processor is the control centre of the page elements display methods, entirely described using various interfaces and connection
Realize the various pieces of information interaction method.
The memory can be used for storing the computer program and/or module, and the processor is by operation or executes
Computer program in the memory and/or module are stored, and calls the data being stored in memory, realizes the page
The various functions of element display method.The memory can mainly include storing program area and storage data area, wherein storage journey
It sequence area can application program needed for storage program area, at least one function (such as sound-playing function, text conversion function
Deng) etc.；Storage data area, which can be stored, uses created data (such as audio data, text message data etc.) according to mobile phone
Deng.It can also include nonvolatile memory in addition, memory may include high-speed random access memory, such as hard disk, interior
Deposit, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card,
Flash card (Flash Card), at least one disk memory, flush memory device or other volatile solid-state parts.
Wherein, if the module for realizing service equipment is realized in the form of SFU software functional unit and as independent production
Product when selling or using, can store in a computer readable storage medium.Based on this understanding, the present invention realizes
All or part of the process in above-described embodiment method can also instruct relevant hardware to complete by computer program,
The computer program can be stored in a computer readable storage medium, which is being executed by processor
When, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer program includes computer program code, described
Computer program code can be source code form, object identification code form, executable file or certain intermediate forms etc..The meter
Calculation machine readable medium may include: can carry the computer program code any entity or device, recording medium, USB flash disk,
Mobile hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory
Device (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It needs to illustrate
It is that the content that the computer-readable medium includes can be fitted according to the requirement made laws in jurisdiction with patent practice
When increase and decrease, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium does not include electric carrier wave letter
Number and telecommunication signal.
It should be noted that the apparatus embodiments described above are merely exemplary, wherein described be used as separation unit
The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be with
It is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actual
It needs that some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.In addition, device provided by the invention
In embodiment attached drawing, the connection relationship between module indicate between them have communication connection, specifically can be implemented as one or
A plurality of communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, it can understand
And implement.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of information interaction method characterized by comprising
According to the historical record data of user, user model is constructed；
According to default barrage tag along sort, the barrage data set of each tag along sort is obtained；
The user model and the tag along sort are matched, the barrage data set for meeting the user model is obtained and is exported.
2. information interaction method according to claim 1, which is characterized in that according to the historical record data of user, building
The step of user tag includes:
According to the historical record data of user, user characteristic data is obtained；Wherein, the historical record of the user includes: history
Browsing video, history deliver video, history barrage discusses in data and historical review data at least one；
Based on deep learning technology, the user characteristic data is trained using deep neural network, obtains user model；
Store the user model.
3. information interaction method according to claim 1, which is characterized in that according to default barrage tag along sort, obtain each
Before the barrage data set of a tag along sort, further includes:
Based on barrage data critical word, removal repeats barrage data.
4. information interaction method according to claim 3, which is characterized in that be based on barrage data critical word, removal repeats
The step of barrage data includes:
Obtain every barrage data at least one keyword；
Based on the keyword, the similarity between every barrage is calculated；
When the similarity is greater than default similarity threshold, wherein a highest barrage of similarity is classified and is removed for selection
Repeat barrage data.
5. information interaction method according to claim 1, which is characterized in that match the user model and the contingency table
Label obtain the barrage data set for meeting the user model and include: the step of output
The user model and the tag along sort are matched, the subtab for meeting the user model is obtained；
Barrage number, barrage publisher identity information, barrage issuing time in barrage data set based on the subtab
Information sorts to the subtab；
Barrage data set before output sequence in 10 subtab.
6. information interaction method according to claim 4, which is characterized in that the 10 subclassification label before output sequence
In barrage data set after further include:
Simultaneously hyperlink is connected to corresponding barrage data set to the 10 subtab title before output sequence；
At least one described subtab title is selected, corresponding barrage data set is exported.
7. a kind of information interaction device characterized by comprising
Model construction unit constructs user model for the historical record data according to user；
Taxon, for obtaining the barrage data set of each tag along sort according to default barrage tag along sort；
Output unit is matched, for matching the user model and the tag along sort, obtains the bullet for meeting the user model
Curtain data set simultaneously exports.
8. information interaction device according to claim 7, which is characterized in that further include:
Duplicate removal unit, for being based on barrage data critical word, removal repeats barrage data.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor is realized as claimed in any one of claims 1 to 6 when executing the computer program
Information interaction method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
Claim 1~6 described in any item information interaction methods are realized when execution.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110765313A (en) * | 2019-09-17 | 2020-02-07 | 合肥工业大学 | Classified playing method and system for network video barrage |
| CN110968682A (en) * | 2019-11-29 | 2020-04-07 | 北京达佳互联信息技术有限公司 | Comment information publishing method, device, client, server and system |
| CN112101012A (en) * | 2020-09-25 | 2020-12-18 | 北京百度网讯科技有限公司 | Interactive domain determining method and device, electronic equipment and storage medium |
| CN112261487A (en) * | 2020-10-20 | 2021-01-22 | 腾讯科技（深圳）有限公司 | Video barrage processing method and device, electronic equipment and storage medium |
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| CN114095774A (en) * | 2022-01-20 | 2022-02-25 | 浙大宁波理工学院 | Video bullet screen display method, computer equipment and storage medium |
| CN114095774B (en) * | 2022-01-20 | 2022-06-03 | 浙大宁波理工学院 | Video bullet screen display method, computer equipment and storage medium |
| CN115065874A (en) * | 2022-06-20 | 2022-09-16 | 维沃移动通信有限公司 | Video playing method and device, electronic equipment and readable storage medium |
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