CN100571345C - A kind of program commending method based on electronic program guides - Google Patents
A kind of program commending method based on electronic program guides Download PDFInfo
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- CN100571345C CN100571345C CNB2005100768055A CN200510076805A CN100571345C CN 100571345 C CN100571345 C CN 100571345C CN B2005100768055 A CNB2005100768055 A CN B2005100768055A CN 200510076805 A CN200510076805 A CN 200510076805A CN 100571345 C CN100571345 C CN 100571345C
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Abstract
The invention discloses a kind of program commending method based on EPG, read the classified catalogue in the EPG programme that receives first, with the program category in the classified catalogue as node, set up the basic conception space, and when receiving the EPG programme at every turn, all to upgrade concept space with the new ideas that occur in the EPG programme that receives as contact; The searching keyword that user inquiring is crossed carries out conceptual clustering, result behind the conceptual clustering is mapped on the corresponding node in the described concept space, individual character hobby space: the A. that the zone of forming according to mapped node forms the active user calls described individual character hobby space, and reads current EPG programme; B. according to the individual character hobby space of being called, as retrieval of content, retrieve current EPG programme, form EPG program recommendation information and demonstration with each node in the individual character hobby space.Use the present invention, can be by shirtsleeve operation, for the user provides order of accuarcy higher EPG program recommendation information.
Description
Technical field
The present invention relates to electronic program guides (EPG) technology, relate in particular to a kind of program commending method based on EPG.
Background technology
In the simulated television epoch, because the television channel number is less, the user can adopt the method that travels through by remote controller to search own favorite program.But along with the arrival of digital Age and the progress of broadcast technology, Digital Television is owing to Digitized Transmission, and feasible may be combined in the channel such as multiple business such as video, audio frequency, image, data transmitted.Therefore, Digital Television has not been single television services, but the digital service by the television transmission channel transfer.At present, global Digital Television has entered Rapid development stage, can predict, and at a few years from now on, the business relevant with Digital Television will increase substantially.Thing followed problem is, when Digital Television can provide the program that is several times as much as present program amount and multiple business for the user, the user can't find needed program and information easily by simple traversal, so EPG arises at the historic moment.
EPG can provide easy-to-use, a friendly interface, so that the user can carry out fast access to programs of interest.In addition, EPG also provides the program arrangement of all channels in current and following a period of time, is convenient to the time that the user selects to watch TV targetedly.Simultaneously, EPG can provide classification feature, helps the user to browse and select various types of programs.
Self watch tendentious programme information in order to make the user can fast browsing meet, the program commending method based on EPG has two kinds of implementations at present:
1. keyword retrieval mode: the program recommendation system based on EPG is an index with the keyword that the user imports, and the EPG programme that receives is retrieved, and extracts the programme information that comprises this keyword, and is shown to the user.
2. commentator's way of recommendation: based on the program recommendation system of EPG by the information gathering during watching TV programme the user, determine user's the custom of watching, and watch custom by one group of commentator according to determined user, the programme information in the EPG programme that receives is selected.Be foundation with commentator's suggestion then, determine to be shown to user's programme information, and when the user needs, determined programme information is shown to the user by processor.
Though above-mentioned program commending method based on EPG can bring convenience for user's TV reception, there is following deficiency in existing EPG program commending method:
1. under the keyword retrieval mode, existing program commending method based on EPG just extracts the programme information that comprises this keyword from the EPG programme, and consider whether the information of retrieving out is inclined to relevant with watching of user, and then garbage can be offered the user, cause the intellectuality of program commending lower, accuracy is not high.
2. under commentator's way of recommendation, numerous commentators will be according to user's the custom of watching, constantly all programme informations are commented on, and processor will carry out balance between all commentators, determine to recommend user's programme information, cause the implementation complexity of this mode, artificial degree of participation too high, cost is higher.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of program commending method based on EPG, can be by shirtsleeve operation, for the user recommends the higher programme information of accuracy.
For achieving the above object, the invention provides a kind of program commending method based on EPG, read the classified catalogue in the EPG programme that receives first, with the program category in the described classified catalogue as node, set up the basic conception space, and when receiving the EPG programme, all to upgrade concept space with the new ideas that occur in the EPG programme that receives as contact at every turn; The searching keyword that user inquiring is crossed carries out conceptual clustering, and the result behind the conceptual clustering is mapped on the corresponding node in the described concept space, and the zone of forming according to mapped described node forms active user's individual character hobby space; This method may further comprise the steps:
A. call described individual character hobby space, and read current EPG programme;
B. according to the described individual character hobby space of being called, as retrieval of content, retrieve described current EPG programme, form EPG program recommendation information and demonstration with each node in the described individual character hobby space.
Wherein, the described zone of forming according to mapped node forms the method in active user's individual character hobby space and is:
The mapped number of times of each node in the concept space is added up, compared, determine to surpass the node of mapping thresholding with the mapping thresholding that sets in advance, and with the described zone that node constituted that surpasses the mapping thresholding, as individual character hobby space.
Wherein, after the step B, this method further comprises:
C1. receiving the searching keyword of user's input, is index with this searching keyword, retrieves this user's EPG program recommendation information, shows result for retrieval, and according to received searching keyword, upgrades this user's individual character hobby space.
Wherein, after the step B, this method further comprises:
C2. according to the EPG program recommendation information that shows among the step B, select at least one EPG program wherein.
Wherein, the described method of calling individual character hobby space of steps A is:
Receive the identification information of user's input, and extract the individual character hobby space corresponding with the identification information that receives.
Wherein, the method in the described renewal of step C1 active user's individual character hobby space comprises:
C11. read the searching keyword of user's input, and the searching keyword that reads is carried out the characteristic attribute analysis, the real concept cluster;
C12. the result behind the conceptual clustering is mapped on the corresponding node in the concept space, and the zone that mapped node is formed is added in this user's the individual character hobby space.
Wherein, the described zone that mapped node is formed of step C12 is added the method in this user's the individual character hobby space to and is:
The mapped number of times of each node in the statistic concept space, the individual character that will join this user above the zone that the node of the mapping thresholding that sets in advance is formed is liked the space.
Wherein, the method for described renewal concept space comprises:
A021. read the programme information in the EPG programme, from the programme information that reads, extract the program keyword, and the program keyword that extracts is carried out the characteristic attribute analysis, the real concept cluster;
A022. according to the result behind the conceptual clustering, judge whether to occur new ideas, if, then the occurrence number of new ideas in the timing statistics that sets in advance added up, and obtain the frequency of occurrences of these new ideas, otherwise, the flow process that this improves concept space finished;
Whether the frequency of occurrences of A023. judging new ideas reaches the new ideas that set in advance is replenished thresholding, if, then with these new ideas as node, add in the concept space, otherwise, finish the flow process that this improves concept space;
A024. between each node of concept space, set up the semantic indexing network.
Wherein, the method for the frequency of occurrences of steps A 022 described acquisition new ideas is:
With these new ideas of being obtained in the timing statistics that sets in advance occurrence number and this timing statistics in receive the EPG programme number of times be divided by.
Wherein, set in advance and be used to preserve created User Identity recording of information, before the then described steps A, this method further comprises:
According to the identification information that the user imported, judge whether this user is new user, if, then the identification information of this user's input is added in the User Identity record, realize creating new user, and the EPG programme that will receive recently is as the EPG program recommendation information, the described demonstration of execution in step B then; Otherwise, execution in step A.
Wherein, describedly judge that whether this user is that new user's method is:
If there is identical information in the identify label that the user imported in the User Identity record, judge that then this user is not new user; Otherwise, judge that this user is new user.
Use the present invention, can be by simple operations, for the user provides accuracy higher EPG program recommendation information.Particularly, the present invention has following beneficial effect:
1. the present invention is when the user needs, according to already present active user's individual character hobby space and the EPG programme that receives recently, provide and meet the EPG program recommendation information of watching tendency, and when active user's input inquiry keyword, EPG program recommendation information to this current user is retrieved, determine specific aim stronger, more meet the programme information of active user's needs, simple to operate, and improved the accuracy of EPG program commending;
2. the present invention is when retrieving according to the searching keyword of active user's input, utilize this searching keyword, upgrade this current user's individual character hobby space, can reflect comparatively in time that the user watches tendency in a period of time, help providing EPG program recommendation information accurately;
3, the present invention all improves the operation of concept space at every turn when receiving the EPG programme, provides good basis for setting up individual character hobby space, and has guaranteed combining closely of EPG program commending and the plan of actual TV playing programs.
Description of drawings
Fig. 1 is for setting up the method flow diagram in basic conception space in the embodiment of the invention;
Fig. 2 is a basic conception space schematic diagram in the embodiment of the invention;
Fig. 3 is the method flow diagram that improves concept space in the embodiment of the invention and set up the semantic indexing network;
Fig. 4 is based on the overview flow chart of the program commending method of EPG in the embodiment of the invention;
Fig. 5 is the method flow diagram that forms individual character hobby space in the embodiment of the invention;
Fig. 6 is the system construction drawing of EPG program commending in the embodiment of the invention;
Fig. 7 is another system construction drawing of EPG program commending in the embodiment of the invention.
Embodiment
For making purpose of the present invention, technical scheme clearer, below with reference to the accompanying drawing embodiment that develops simultaneously, the present invention is described in further detail.
The present invention is a kind of program commending method based on EPG, mainly may further comprise the steps:
A. call the determined individual character hobby of the searching keyword of crossing by user inquiring space;
B. according to the individual character hobby space of being called, retrieval EPG programme forms EPG program recommendation information and demonstration.
As embodiments of the invention, in order to realize the program commending method based on EPG, present embodiment is set up concept space in advance, and concrete grammar mainly comprises: when a. starts first in system, set up the basic conception space based on EPG; B. judge whether to receive the EPG programme, if, then improve concept space, otherwise, execution in step b returned.
As shown in Figure 1, the detailed process of setting up the basic conception space comprises:
For each EPG programme, all include classified catalogue, so that numerous programme informations is shown according to classification, for example: news category, sport category and amusement class etc., sport category wherein comprises again such as subclasses such as tennis, body-building, basketballs, and also comprises group separately in each subclass.In this step, the classified catalogue in the EPG programme that system is received reads, and sets up the foundation in basic conception space as subsequent step.
Concept space is a kind of effective organizational form of knowledge base, can support efficient, accurately inquiry to knowledge base, it is by the space structure that is used for information management that text is carried out form behind concept extraction, text classification and sign, the conceptual clustering, comprises class concepts node, concept node and sub-concept node etc.The initial concept taxonomic hierarchies of setting up when the basic conception space of present embodiment is system start-up is as the initial foundation that forms user personality hobby space in the follow-up system running.With Fig. 2 is example, in the basic conception space of setting up in this step, with classifications such as film, physical culture, education, science, serial, news as the class concepts node, with such as subclasses such as tennis, body-building, basketballs as the concept node under the Sport Class concept node, with such as groups such as CBA, Olympic Games Basketball Match as the sub-concept node under the basketball concept node.
So far, finished the flow process that present embodiment is set up the basic conception space.
As shown in Figure 3, after the basic conception space was set up and finished, when system received the EPG programme at every turn, present embodiment all will carry out perfect to already present concept space, and concrete grammar comprises:
Because regular update during the EPG programme when therefore receiving the EPG programme, all from this step, is carried out the operation of improving concept space and setting up the semantic indexing network, so that can provide EPG program recommendation information accurately for the user at every turn.Programme information in the EPG programme mainly comprises program title and digest portions programs etc., and then this step at first reads one by one to the programme information in the EPG programme that receives, and then again the programme information that reads is carried out the program keyword extraction.For example: the programme information that reads is: the current period program will be offered as a tribute excellent golf range game for you, and you can see many world stars' elegance here, and then this step extracts this program keyword of golf from this program brief introduction.
The step 302. pair program keyword that extracts carries out conceptual clustering.
Conceptual clustering is meant by knowledge excavation technology commonly used, and the program keyword that extracts is carried out the characteristic attribute analysis, and according to the characteristic attribute analyzing out, this program keyword that extracts is grouped under the corresponding notion.For example: after this program keyword of golf carried out conceptual clustering, determine golf is belonged under this notion of physical culture.
Step 303～304. judge whether to occur new ideas according to the result behind the conceptual clustering, if then the occurrence number of new ideas in the timing statistics that sets in advance added up, and obtain the frequency of occurrences of these new ideas; Otherwise, finish the flow process that this improves concept space.
At first the notion in result behind the conceptual clustering and the already present concept space is compared herein, determine whether to exist the new ideas that do not occur; Occurring under the situation of new ideas then, will add 1 on the occurrence number of these new ideas in the timing statistics that sets in advance, then again the number of times that receives the EPG programme in the statistics number that obtains and this timing statistics is being divided by, obtaining the frequency of occurrences of these new ideas.
Step 305～306. judge whether the frequency of occurrences of new ideas reaches the new ideas that set in advance and replenish thresholding, if, then with these new ideas as node, add in the concept space; Otherwise, finish the flow process that this improves concept space.
For the new ideas that repeatedly occur are added in the concept space, present embodiment sets in advance the new ideas of representing with percentage and replenishes thresholding, for example 50%, have only the frequency of occurrences of new ideas to replenish under the situation of thresholding more than or equal to new ideas, ability as a node, joins each new ideas in the concept space.
For each node in the concept space is associated, this step between all class concepts node, concept node and sub-concept node, is set up incidence relation in concept space.And, between per two nodes, adopt the number between 0 and 1 as weights, represent the degree of association between per two notions, for example: do not have incidence relation, 1 expression, two internodal correlation degree maximums between 0 expression, two nodes, so that between each node, carry out association and conversion, and then can in the program commending flow process of present embodiment, provide the user required program recommendation information.
So far, finished the flow process of improving concept space in the present embodiment.
Set up the basic conception space and concept space is carried out on the perfect basis above-mentioned, present embodiment is when the user need check the EPG program recommendation information, for example turn on television set or press EPG CK call key on the remote controller etc., individual character hobby according to each user provides the EPG that satisfies user's needs program recommendation information.
Particularly, in order to distinguish the user, present embodiment sets in advance and is used to preserve created user ID recording of information.As shown in Figure 4, present embodiment may further comprise the steps based on the program commending method of EPG:
In order to provide required EPG program recommendation information at each user, present embodiment receives the ID that the user imported, so that user identity is distinguished carrying out the initial of program commending.
Step 402～405. are according to ID that the active user imported, judge whether this current user is new user, if, then add in the user ID record by ID with preceding user's input, realize creating new user, with the EPG programme that receives recently as the EPG program recommendation information, and execution in step 406; Otherwise according to the already present individual character hobby of active user space, retrieval EPG programme forms the EPG program recommendation information, and execution in step 406.
Judge in this step that whether the active user is that new user's method is:, judge that then the active user is not new user if there is identical information in the ID that the active user imported in the user ID record; Otherwise, judge that the active user is new user.
The active user is under new user's the situation, at first the ID that the active user imported is saved in the user ID record, realizes new user's establishment; Then, because there is not individual character hobby spatial registration in new user, therefore the EPG programme that will receive recently is as the EPG program recommendation information towards the active user, so that be shown to the active user in subsequent step.
The active user is under old user's the situation, because the active user once formed individual character hobby spatial registration, so each notion that the individual character of originally sentencing the active user is liked in the space is an index, the EPG programme that receives is recently retrieved, form the EPG program recommendation information, so that in subsequent step, show to the active user.
In addition, the structure and the concept space in individual character hobby space, this place are basic identical, difference is: what preserve in the individual character hobby space is to be inclined to relevant notion with watching of a user, and individual character hobby space is the part of concept space usually, is one or several zone in the concept space.For example: the active user often watches serial, and often the input searching keyword relevant with serial retrieved, and then will have the more notion relevant with serial in active user's the individual character hobby space.
When the active user is new user, the EPG programme in the step 404 is shown to the active user; When the active user is the old user, the EPG program recommendation information that forms in the step 405 is shown to the active user.
So far, can realize purpose of the present invention,,, finish the EPG program commending for the user provides order of accuarcy higher EPG program recommendation information promptly by simple operations.
Under the situation of user input query keyword, the present invention dwindles recommended range by the execution of subsequent step, thereby provides the programme information that is closely related with the keyword of being imported for the user; Do not import the user under the situation of keyword, after end this program recommended flowsheet, the user can select wherein at least one EPG program, and view and admire according to the EPG program recommendation information that shows in the step 406.
The searching keyword of step 408. record active user input, and according to the searching keyword of active user input, upgrade active user's individual character hobby space, searching keyword with this input of active user is an index simultaneously, EPG program recommendation information to the active user is retrieved, and shows result for retrieval.
Behind definite active user's input inquiry keyword, the keyword that the active user imports in this EPG program commending flow process is noted, and then the keyword of active user input handled, form the individual character hobby space of active user after this input inquiry keyword, so that when carrying out the EPG program commending next time, show as the EPG program recommendation information.Particularly, as shown in Figure 5, the method that this step forms active user's individual character hobby space comprises:
The searching keyword of active user's input is read in step 4081～4082., and the searching keyword that reads is carried out conceptual clustering.
It is identical with method in the step 302 in this step the searching keyword that reads to be carried out the method for conceptual clustering.
The result of step 4083. after with conceptual clustering is mapped on the corresponding node in the concept space.
In this step, to be mapped on the corresponding node in the preformed concept space of present embodiment through the formed notion of conceptual clustering, for example: the result behind the conceptual clustering is: feature film then is mapped to this notion of feature film in the concept space on the concept node feature film under the class concepts node film.
The mapped number of times of each node in the step 4084. statistic concept space utilizes the node that surpasses the mapping thresholding, upgrades active user's individual character hobby space.
In order to determine to embody the notion that the active user watches tendency, then present embodiment sets in advance the mapping thresholding, has only to surpass the node that mapped number of times surpasses the mapping thresholding, is only the pairing notion of program that the user often watches.In this step, at first the mapped number of times of each node in the concept space is added up one by one, compare with the mapping thresholding that sets in advance then, determine to surpass the node of mapping thresholding, and with the above-mentioned zone that node constituted that surpasses the mapping thresholding, as active user individual character hobby space at this moment.
So far, finished the flow process in the individual character hobby space of upgrading the active user in the present embodiment.
When forming active user's individual character hobby space, also with the searching keyword of the active user that notes input, EPG program recommendation information shown in the step 406 is retrieved, extracted the programme information that meets active user's needs more, and result for retrieval is shown to the user.
So far, finished the program commending flow process of present embodiment based on EPG.
Referring to Fig. 6 and Fig. 7, it is in the HVN Home View Network network of chief component that the program commending method that the present invention is based on EPG both can be applied to home server, set-top box and remote controller, and can be applied to home entertainment center and remote controller again is in the HVN Home View Network network of chief component.In above-mentioned two kinds of HVN Home View Network networks, the present invention sets up the basic conception space, improves concept space and sets up the semantic indexing network and flow process such as EPG program commending is carried out in home server and home entertainment center respectively, and remote controller can be used for then calling that EPG recommends and input inquiry keyword etc.
The above only is preferred embodiment of the present invention, and is in order to restriction the present invention, within the spirit and principles in the present invention not all, any modification of being made, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (11)
1, a kind of program commending method based on electronic program guide (EPG) is characterized in that,
Read the classified catalogue in the EPG programme that receives first, program category in the described classified catalogue as node, is set up the basic conception space, and when receiving the EPG programme at every turn, all to upgrade concept space with the new ideas that occur in the EPG programme that receives as contact;
The searching keyword that user inquiring is crossed carries out conceptual clustering, and the result behind the conceptual clustering is mapped on the corresponding node in the described concept space, and the zone of forming according to mapped described node forms active user's individual character hobby space;
This method may further comprise the steps:
A. call described individual character hobby space, and read current EPG programme;
B. according to the described individual character hobby space of being called, as retrieval of content, retrieve described current EPG programme, form EPG program recommendation information and demonstration with each node in the described individual character hobby space.
2, the method for claim 1 is characterized in that, after the step B, this method further comprises:
C1. receiving the searching keyword of user's input, is index with this searching keyword, retrieves this user's EPG program recommendation information, shows result for retrieval, and according to received searching keyword, upgrades this user's individual character hobby space.
3, the method for claim 1 is characterized in that, after the step B, this method further comprises:
C2. according to the EPG program recommendation information that shows among the step B, select at least one EPG program wherein.
4, the method for claim 1 is characterized in that, the described method of calling individual character hobby space of steps A is:
Receive the identification information of user's input, and extract the individual character hobby space corresponding with the identification information that receives.
5, method as claimed in claim 2 is characterized in that, the method in the described renewal of step C1 active user's individual character hobby space comprises:
C11. read the searching keyword of user's input, and the searching keyword that reads is carried out the characteristic attribute analysis, the real concept cluster;
C12. the result behind the conceptual clustering is mapped on the corresponding node in the concept space, and the zone that mapped node is formed is added in this user's the individual character hobby space.
6, method as claimed in claim 5 is characterized in that, the method that step C12 adds in the described zone that mapped node is formed in this user's the individual character hobby space is:
The mapped number of times of each node in the statistic concept space, the individual character that will join this user above the zone that the node of the mapping thresholding that sets in advance is formed is liked the space.
7. the method for claim 1 is characterized in that, the method for described renewal concept space comprises:
A021. read the programme information in the EPG programme, from the programme information that reads, extract the program keyword, and the program keyword that extracts is carried out the characteristic attribute analysis, the real concept cluster;
A022. according to the result behind the conceptual clustering, judge whether to occur new ideas, if, then the occurrence number of new ideas in the timing statistics that sets in advance added up, and obtain the frequency of occurrences of these new ideas, otherwise, the flow process that this improves concept space finished;
Whether the frequency of occurrences of A023. judging new ideas reaches the new ideas that set in advance is replenished thresholding, if, then with these new ideas as node, add in the concept space, otherwise, finish the flow process that this improves concept space;
A024. between each node of concept space, set up the semantic indexing network.
8, method as claimed in claim 7 is characterized in that, the method for the frequency of occurrences of steps A 022 described acquisition new ideas is:
With these new ideas of being obtained in the timing statistics that sets in advance occurrence number and this timing statistics in receive the EPG programme number of times be divided by.
9, method as claimed in claim 4 is characterized in that, sets in advance to be used to preserve created User Identity recording of information, and before the then described steps A, this method further comprises:
According to the identification information that the user imported, judge whether this user is new user, if, then the identification information of this user's input is added in the User Identity record, realize creating new user, and the EPG programme that will receive recently is as the EPG program recommendation information, the described demonstration of execution in step B then; Otherwise, execution in step A.
10, method as claimed in claim 9 is characterized in that, describedly judges that whether this user is that new user's method is:
If there is identical information in the identify label that the user imported in the User Identity record, judge that then this user is not new user; Otherwise, judge that this user is new user.
11, the method for claim 1 is characterized in that, the method that the described zone of forming according to mapped node forms active user's individual character hobby space is:
The mapped number of times of each node in the concept space is added up, compared, determine to surpass the node of mapping thresholding with the mapping thresholding that sets in advance, and with the described zone that node constituted that surpasses the mapping thresholding, as individual character hobby space.
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| CN102685602A (en) * | 2011-03-08 | 2012-09-19 | 国基电子（上海）有限公司 | Television device and method for automatically generating recommendation information |
| CN102780915B (en) * | 2012-07-05 | 2016-06-29 | 青岛海信传媒网络技术有限公司 | The method of preserved program, Apparatus and system |
| CN102970595B (en) * | 2012-11-28 | 2018-08-28 | 康佳集团股份有限公司 | A kind of data processing method, system and device based on set-top box |
| CN103905874A (en) * | 2012-12-25 | 2014-07-02 | 北京佳视互动科技股份有限公司 | EPG information recommendation method based on set top box with DVB module and system thereof |
| CN104320712B (en) * | 2014-10-13 | 2018-09-04 | 四川长虹电器股份有限公司 | A kind of televison program sorting method and TV programme playback terminal |
| CN107427148A (en) * | 2015-05-28 | 2017-12-01 | 深圳市赛亿科技开发有限公司 | A kind of intelligent drinking machine and its control method |
| CN105142025A (en) * | 2015-07-16 | 2015-12-09 | Tcl集团股份有限公司 | Information push method and system based on intelligent television terminal |
| CN106686447A (en) * | 2015-11-06 | 2017-05-17 | 广州视源电子科技股份有限公司 | Channel screening method and device |
| CN106792222B (en) * | 2016-12-30 | 2020-02-11 | 中广热点云科技有限公司 | Interactive video-on-demand method and system thereof |
| CN106686462B (en) * | 2016-12-30 | 2019-09-24 | 中广热点云科技有限公司 | A kind of intelligent playing method and its system of Web TV |
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