CN113111197A - Multimedia content recommendation method, device, equipment and storage medium - Google Patents
Multimedia content recommendation method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN113111197A CN113111197A CN202110412883.7A CN202110412883A CN113111197A CN 113111197 A CN113111197 A CN 113111197A CN 202110412883 A CN202110412883 A CN 202110412883A CN 113111197 A CN113111197 A CN 113111197A
- Authority
- CN
- China
- Prior art keywords
- content
- multimedia
- target user
- tag data
- display
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 230000006399 behavior Effects 0.000 claims description 80
- 238000004590 computer program Methods 0.000 claims description 11
- 230000002776 aggregation Effects 0.000 claims description 5
- 238000004220 aggregation Methods 0.000 claims description 5
- 230000003542 behavioural effect Effects 0.000 claims description 5
- 230000015572 biosynthetic process Effects 0.000 claims description 5
- 238000003786 synthesis reaction Methods 0.000 claims description 5
- 230000004931 aggregating effect Effects 0.000 claims description 2
- 239000000126 substance Substances 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000013473 artificial intelligence Methods 0.000 abstract description 4
- 238000004891 communication Methods 0.000 description 9
- 238000012545 processing Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 238000004422 calculation algorithm Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000001815 facial effect Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000006116 polymerization reaction Methods 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 241000522128 Anarchias Species 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/43—Querying
- G06F16/435—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Computation (AREA)
- Evolutionary Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Multimedia (AREA)
- Life Sciences & Earth Sciences (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The disclosure provides a recommendation method, device, equipment and storage medium of multimedia content, relates to the technical field of computers, and further relates to artificial intelligence technologies such as computer vision and voice recognition. The specific implementation scheme is as follows: determining tag data of a target user; determining a content stream comprising at least two multimedia types for the target user according to the tag data; and displaying the content stream to the target user through a display unit of the intelligent sound box. According to the technology disclosed by the invention, the individual and diversified requirements of the user can be met, and a new idea is provided for realizing the recommendation of the multimedia content in the intelligent loudspeaker box scene.
Description
Technical Field
The present disclosure relates to the field of computer technology, and more particularly, to the field of artificial intelligence techniques such as computer vision and speech recognition.
Background
With the development of artificial intelligence technology, the life of people is enriched by the appearance of intelligent sound boxes. However, the existing smart speakers cannot recommend multimedia content to users in a targeted manner, and the recommended multimedia is single in type, so that the diversified and personalized requirements of the users cannot be met, and improvement is urgently needed.
Disclosure of Invention
The disclosure provides a method, an apparatus, a device and a storage medium for recommending multimedia content.
According to an aspect of the present disclosure, there is provided a method of recommending multimedia content, the method including:
determining tag data of a target user;
determining a content stream comprising at least two multimedia types for the target user according to the tag data;
and displaying the content stream to the target user through a display unit of the intelligent sound box.
According to another aspect of the present disclosure, there is provided an apparatus for recommending multimedia contents, the apparatus including:
the tag data determining module is used for determining tag data of a target user;
a content stream determining module, configured to determine, according to the tag data, a content stream including at least two multimedia types for the target user;
and the content stream display module is used for displaying the content stream to the target user through a display unit of the intelligent sound box.
According to another aspect of the present disclosure, there is provided an electronic device including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of recommending multimedia content according to any of the embodiments of the present disclosure.
According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform a method of recommending multimedia content according to any one of the embodiments of the present disclosure.
According to another aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method of recommending multimedia content according to any of the embodiments of the present disclosure.
According to the technology disclosed by the invention, the individual and diversified requirements of the user can be met, and a new idea is provided for realizing the recommendation of the multimedia content in the intelligent loudspeaker box scene.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
fig. 1 is a flowchart of a method for recommending multimedia content according to an embodiment of the present disclosure;
fig. 2 is a flowchart of another method for recommending multimedia content provided according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a method for recommending multimedia content according to an embodiment of the present disclosure;
fig. 4A is a flowchart of a recommendation method of still another multimedia content provided according to an embodiment of the present disclosure;
FIG. 4B is a schematic diagram of a presentation interface provided in accordance with an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an apparatus for recommending multimedia content according to an embodiment of the present disclosure;
fig. 6 is a block diagram of an electronic device for implementing a recommendation method of multimedia content according to an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a flowchart of a method for recommending multimedia content according to an embodiment of the present disclosure. The embodiment of the disclosure is suitable for a situation of how to recommend multimedia content to a user, and is particularly suitable for a situation of actively recommending the multimedia content to the user by an intelligent sound box configured with a display unit (such as a display screen). The embodiment may be performed by an apparatus for recommending multimedia content configured in an electronic device, which may be implemented by software and/or hardware, and further, the electronic device may be a smart speaker configured with a display unit. As shown in fig. 1, the method for recommending multimedia content includes:
s101, determining the label data of the target user.
In this embodiment, the target user is an object for recommending multimedia content by the smart speaker. Optionally, the smart sound box may identify the user identity first to determine the target user when detecting the content recommendation event; or the user bound with the intelligent sound box can be directly used as the target user, and the like. The smart sound box may detect a content recommendation event in a variety of ways, for example, it may detect that the current time meets a set content recommendation period; the distance between the user and the intelligent sound box, which is acquired by the distance sensor in the intelligent sound box, can be detected to be smaller than a set distance value; the recommendation instruction of the user can also be received, for example, the recommendation instruction is extracted from voice information of the user, or the recommendation instruction is determined to be received according to sliding operation of the user on a display unit of the smart sound box; or a recommendation notice and the like sent by a cloud platform in communication connection with the smart sound box can be received.
Optionally, in this embodiment, the smart speaker may identify the user identity in a plurality of ways. For example, the smart sound box may interact with the user in a voice manner to obtain voice information of the user, obtain voiceprint characteristics of the user according to the voice information of the user, and further identify the identity of the user according to the voiceprint characteristics of the user; or, the smart speaker may collect a facial image of the user through a collecting unit (e.g., a camera) disposed thereon, and then identify the user identity according to the collected facial image of the user.
For example, after the target user is determined, the smart speaker may determine the tag data of the target user. So-called tag data may be used to characterize the user. Optionally, the tag data is different for different users. For any user, the tag data may include behavioral tag data and/or fundamental tag data. So-called behavioral tag data is used to characterize a user's characteristics from a behavioral perspective, which may include, but is not limited to, the type of multimedia the user is interested in and the period of time the user views the multimedia content; the base tag data is used to characterize the characteristics of the user based on the attribute information of the user, which may include, but is not limited to, the user's age, gender, and family pattern. Wherein the family mode may be at least one of a child family, a preschool family, a primary school family, a middle school family, a young family, and an elderly family.
Optionally, in this embodiment, the ways of determining different tag data are different. For example, behavior tag data may be determined based on historical usage behavior data of the smart sound box by the target user. Specifically, a statistical analysis algorithm is adopted to analyze historical use behavior data of the target user on the intelligent sound box, and behavior tag data of the target user is determined; or the behavior tag data of the target user can be determined according to the historical use behavior data of the target user on the intelligent sound box based on a pre-trained behavior tag recognition model. The historical usage behavior data of the target user for the smart sound box may include, but is not limited to, time, duration, frequency of watching/clicking different multimedia types, and the like of the target user watching/clicking multimedia content.
Further, in a case that the target user is any one of the candidate users associated with the smart sound box, the basic tag data of the target user may be obtained from the configuration information of the smart sound box. Specifically, the attribute information of the target user may be obtained from the configuration information of the smart sound box, and then the basic tag data of the target user is determined based on the attribute information of the target user. The candidate user associated with the so-called smart speaker is a user registered in the smart speaker. For any user, the attribute information of the user may include, but is not limited to, the user's age, gender, family members, school situation, and the like.
S102, determining content streams comprising at least two multimedia types for the target user according to the label data.
Optionally, in the present embodiment, the multimedia types include, but are not limited to, video, audio, and text, wherein the video includes, but is not limited to, tv drama, movie, anarchia, short video, drama, live broadcast, and the like; audio may include audio books (such as audio novels, audio storybooks, etc.) and music, etc.; the text may include news, etc.
Specifically, the smart speaker may obtain at least two multimedia types of multimedia content from the repository according to the tag data, and generate a content stream according to the obtained multimedia content. Optionally, the multimedia content in the repository can be updated in real time; further, the repository is preferably disposed in an external device.
Further, the smart sound box may further control the cloud platform to determine a content stream including at least two multimedia types for the target user according to the tag data. For example, the smart sound box may send a content acquisition request including tag data of a target user to the cloud platform, so that the cloud platform acquires at least two multimedia types of content to be recommended according to the tag data of the target user, and generates a content stream based on the content to be recommended; and then the intelligent sound box can obtain the content stream fed back by the cloud platform.
And S103, displaying the content stream to the target user through the display unit of the intelligent sound box.
Optionally, the smart sound box may display the content stream on the display unit of the smart sound box according to the display order, so that the target user can view the content stream. The presentation sequence may include presentation sequences between different multimedia types and presentation sequences between different multimedia contents in the same multimedia type. Optionally, the presentation order in this embodiment may be determined by the smart sound box or the cloud platform according to the heat, the update time, the degree of association between the multimedia content and the tag data of the target user, and the like.
According to the technical scheme, the intelligent sound box obtains at least two multimedia types of content streams aiming at the target user through label data based on the target user, and displays the content streams through the configured display unit. Compared with the existing scheme that the intelligent sound box recommends the multimedia content to the user, the scheme realizes personalized recommendation, enriches the types of the displayed content, further meets the diversified and personalized requirements of the user, and provides a new idea for realizing the recommendation of the multimedia content in the scene of the intelligent sound box.
Further, as an optional manner of the embodiment of the present disclosure, in a case that the tag data includes a behavior tag and a base tag, determining, according to the tag data, a content stream including at least two multimedia types for the target user may specifically be determining, according to the behavior tag and/or the base tag data, a content stream including at least two multimedia types for the target user.
Determining a content stream comprising at least two multimedia types for a target user according to the basic tag data may be, for example, determining a content subject of a content to be recommended according to a family mode in the basic tag data; at least two multimedia types of multimedia content are obtained from the multimedia content related to the content subject according to the age in the base tag data to obtain the content stream. So-called content topics characterize the main core intent of multimedia content and may include, but are not limited to, education, entertainment (e.g., short videos, dramas, anaglyphs, movies, etc.), sports, knowledge, fashion, and life (e.g., mother and infant, gourmet, and apparel, etc.), and the like.
For example, if the family mode is children's family, the content subject of the content to be recommended may be determined as education, and then content streams including at least two multimedia types may be determined for the target user according to age; for example, if the age is 0 to 1 year, music, audio books, animation, and the like related to early education can be used as the content stream. For another example, if the family mode is a young or old family, the content theme of the content to be recommended may be determined as entertainment, and further, a content stream including at least two multimedia types may be determined for the target user according to age. For example, 18-25 years of age, entertainment-related video and audio, etc. may be streamed as content.
Further, a content stream comprising at least two multimedia types may be determined for the target user based on the behavior tag data. Alternatively, a content stream comprising at least two multimedia types may be determined for the target user based on the base tag data and the behavior tag data. For example, the first content to be recommended may be determined according to the base tag data, the second content to be recommended may be determined according to the behavior tag data, and the first content to be recommended and the second content to be recommended may be used as the content stream.
It should be noted that, for the new hot multimedia content, the determination may be based on the basic tag data, and the manner of determining the content stream based on the behavior tag data is more suitable for the existing multimedia content, and the process of determining the content stream based on the behavior tag data will be described in detail in the following embodiments.
Fig. 2 is a flowchart of another method for recommending multimedia content provided according to an embodiment of the present disclosure. The present embodiment explains how to determine behavior tag data in tag data of a target user and how to determine a content stream based on the behavior tag data on the basis of the above-described embodiments. As shown in fig. 2, the method for recommending multimedia content includes:
s201, determining behavior tag data of the target user according to the historical use behavior data of the target user on the auxiliary application and/or the auxiliary terminal and the historical use behavior data of the target user on the intelligent sound box.
Optionally, the auxiliary application and/or the auxiliary terminal and the account information to which the smart sound box belongs are the same. The auxiliary terminal may be other electronic devices used by the target user except for the smart sound box, and the other electronic devices are the same as the account information of the smart sound box, for example, the smart sound box, the smart television, the smart air conditioner, and the like under the same company flag owned by the target user. The auxiliary application may be application software used by the target user, such as video software, music application, and the like, which is the same as the account information of the smart sound box. Further, the number of the auxiliary applications may be one, two or more; correspondingly, the number of the auxiliary terminals may also be one, two or more.
In this embodiment, the historical usage behavior data of the target user for the auxiliary application may include, but is not limited to, a time period, a duration, and a frequency of the target user using the auxiliary application, and a situation that the target user views/clicks on the multimedia content using the auxiliary application. Correspondingly, the historical usage behavior data of the target user on the auxiliary terminal may include, but is not limited to, a time period, a duration and a frequency of the target user using the auxiliary terminal, and a situation that the target user views/clicks the multimedia content using the auxiliary terminal.
The behavior tag data includes the multimedia type of interest and may also include a period of time during which the multimedia content is viewed, etc. Specifically, the smart sound box may determine, according to the account information to which the smart sound box belongs, an auxiliary application and/or an auxiliary terminal that is the same as the account information; then, historical use behavior data of the target user on the auxiliary application and/or the auxiliary terminal can be obtained, and historical use behavior data of the target user on the intelligent sound box can be obtained from log data of the intelligent sound box; and further determining the behavior tag data of the target user according to the acquired historical use behavior data of the target user on the auxiliary application and/or the auxiliary terminal and the historical use behavior data of the target user on the intelligent sound box.
For example, a statistical analysis algorithm may be used to analyze the acquired historical usage behavior data of the target user on the auxiliary application and/or the auxiliary terminal, and the historical usage behavior data of the target user on the smart sound box, so as to determine the behavior tag data of the target user. Or determining the behavior tag data of the target user according to the acquired historical use behavior data of the target user on the auxiliary application and/or the auxiliary terminal and the historical use behavior data of the target user on the intelligent sound box based on a pre-trained behavior tag recognition model.
It should be noted that, in this embodiment, not only the historical usage behavior data of the user on the smart sound box but also the historical usage behavior data of the user on the auxiliary application and/or the auxiliary terminal are introduced to determine the behavior tag data of the target user, so that the accuracy and the comprehensiveness of the behavior tag data are increased.
S202, determining content streams including at least two multimedia types for the target user according to the behavior tag data and historical use behavior data of the target user on the intelligent sound box by similar users.
In this embodiment, a user whose behavior tag data is similar to the behavior tag data of the target user among other users except the target user is taken as a similar user of the target user.
Specifically, the first content to be recommended is determined according to the association relationship between the behavior tag data of the target user and the resource; determining second content to be recommended according to historical use behavior data of the intelligent sound box by similar users of the target user; and taking the first content to be recommended and the second content to be recommended as the content stream of the target user.
For example, the behavior tag data of the target user includes that the target user is interested in xx tv series, and the historical usage behavior data of the smart sound box by similar users of the target user includes that the xx tv series is watched, an art program of actors performing the xx tv series is watched, a gourmet short video is watched, and a certain function introduction of the smart sound box is watched. Furthermore, music related to subject music, episodes and the like in the xx series, voiced novels related to the xx series and the like can be acquired according to the association relationship among the resources, and videos related to the xx series, the acquired music and the voiced novels can be used as first content to be recommended; meanwhile, the introduction of the comprehensive art programs, the food short videos and the functions of the intelligent sound boxes which are watched by the similar users can be used as second contents to be recommended; then, based on the first content to be recommended and the second content to be recommended, a content stream recommended to the target user can be obtained.
Further, in order to avoid repeated recommendation, as an alternative to the embodiment of the present disclosure, a content stream including at least two multimedia types may be determined for the target user according to the behavior tag data, the historical usage behavior data of the target user on the smart speaker, and the historical usage behavior data of the similar user of the target user on the smart speaker. Specifically, the first content to be recommended and the second content to be recommended are subjected to deduplication processing according to historical usage behavior data of the target user on the smart sound box, and the first content to be recommended and the second content to be recommended after deduplication processing are used as content streams recommended to the target user.
Further, in order to make the determined content stream richer, when determining the second content to be recommended in the embodiment, historical usage behavior data of similar users of the target user on the auxiliary application and/or the auxiliary terminal may also be combined.
And S203, displaying the content stream to the target user through the display unit of the intelligent sound box.
According to the technical scheme of the embodiment of the disclosure, the behavior tag data of the target user is determined by combining the historical use behavior data of the target user on the auxiliary application and/or the auxiliary terminal and the historical use behavior data of the target user on the intelligent sound box, so that the accuracy and comprehensiveness of the behavior tag data are increased, and a new thought is provided for determining the behavior tag data; meanwhile, historical use behavior data of the intelligent sound box by similar users of the target user is introduced, and at least two multimedia types of content streams aiming at the target user are obtained based on the behavior tag data of the target user, so that the types of the multimedia contents in the obtained content streams are richer, and further the diversification and individuation requirements of the user are met.
Fig. 3 is a flowchart of a method for recommending multimedia content according to an embodiment of the present disclosure. The present embodiment explains how to present the content stream to the target user on the basis of the above embodiments. As shown in fig. 3, the method for recommending multimedia content includes:
s301, determining the label data of the target user.
S302, according to the label data, content streams comprising at least two multimedia types are determined for the target user.
S303, according to the multimedia types, the multimedia contents in the content stream are aggregated to obtain a content set corresponding to each multimedia type.
In this embodiment, the multimedia contents in the content stream may be aggregated according to three major media types, i.e., video, audio, and text, to obtain a content set corresponding to each multimedia type involved in the content stream. For example, the content stream refers to multimedia contents of two types, i.e., video and audio, and then a content set corresponding to the video and a content set corresponding to the audio can be obtained.
Further, the video, the audio and the text may also have corresponding sub-categories, for example, the video may have respective sub-categories such as a tv show, a movie, a general art, a short video, a drama and a live broadcast, and further, the aggregation result of the content stream based on the video, the audio and the text may be aggregated again to obtain a final result. For example, the content sets corresponding to the videos may be aggregated again to obtain a content set corresponding to a television show, a content set corresponding to a movie, a content set corresponding to an art and the like.
It should be noted that, in order to improve the satisfaction of the user, the present embodiment preferably uses the polymerization result with a finer granularity, i.e., the result after the second polymerization.
S304, determining the display sequence of each content set according to the association degree of the content sets and the label data.
In this embodiment, the association degree between the content set and the tag data is used to characterize the association degree between the content set and the user characteristics (such as the multimedia type of interest). Further, the association degree between the content set and the tag data may be represented by the association degree between the multimedia content in the content set and the tag data, which may be specifically determined through the following process: for each content set, the association degree between each multimedia content in the content set and the tag data can be determined, and the association degrees between each determined multimedia content and the tag data are added, so that the association degree between the content set and the tag data can be obtained. Wherein, the association degree of the multimedia content and the tag data can be expressed by a score or a percentage. For example, if the multimedia content is a movie of an xx series, and the tag data is that the target user is interested in the xx series, it indicates that the multimedia content and the tag data have a strong association, and if the completely associated score is 10, a higher score, such as 9, may be assigned at this time.
In order to facilitate the user to see the content of interest first, the present embodiment preferably ranks the content sets according to the association degree between the content sets and the tag data from large to small, so as to obtain the display order of each content set. That is, the content sets with a greater degree of association with the tag data are ranked further forward.
S305, displaying the multimedia contents in each content set on a display interface of the display unit according to the display sequence.
Optionally, the presentation sequence determined in step S304 is substantially a presentation sequence between different multimedia types, and may also be referred to as an external presentation sequence; further, for each content set, the presentation order among the multimedia contents in the content set, that is, the internal presentation order, may be determined according to the popularity, the update time, and the degree of association between the multimedia contents and the tag data.
Furthermore, in this embodiment, the multimedia content in each content set may be presented on the presentation interface of the display unit according to the external presentation order and the internal presentation order.
It can be understood that, since the three multimedia types of video, audio and text may have corresponding sub-categories, and the user's interest level for each sub-category is different, the present embodiment preferably uses a finer-grained aggregated result, i.e. a result after secondary aggregation, to ensure that the content of interest to the user is ranked ahead. Meanwhile, the content displayed on the display interface is neater and more ordered and better readable by displaying according to the content set.
According to the technical scheme, the intelligent sound box obtains at least two multimedia types of content streams aiming at the target user through the label data based on the target user, then conducts aggregation operation on the multimedia contents in the content streams based on the multimedia types to obtain a plurality of content sets, and displays the multimedia contents in the content sets according to the display sequence of the content sets determined based on the association degree of the content sets and the label data. According to the scheme, under the condition that the types of the display contents are diversified, the multimedia contents are displayed based on the display sequence, so that the contents displayed on the display interface are tidier and more ordered, and the readability is better.
Fig. 4A is a flowchart of a recommendation method of still another multimedia content according to an embodiment of the disclosure. On the basis of the above embodiments, the present embodiment further explains how to present the content stream to the target user. As shown in fig. 4A, the method for recommending multimedia content includes:
s401, determining the label data of the target user.
S402, determining content flow comprising at least two multimedia types for the target user according to the label data.
S403, according to the multimedia types, the multimedia contents in the content stream are aggregated to obtain a content set corresponding to each multimedia type.
S404, determining the display sequence of each content set according to the association degree of the content sets and the label data.
And S405, distributing a display area for each content set on a display interface of the display unit according to the display sequence and the set direction.
In this embodiment, the setting direction is a preset mode for presenting multimedia content in the content stream. For example, in order to facilitate browsing by a user and conform to habits of a plurality of users in using the smart sound box, the length direction, i.e., the vertical direction, of the smart sound box can be used as the setting direction.
Specifically, in this embodiment, the display area may be sequentially allocated to each content set in the display interface of the display unit according to the display order along a set direction (for example, a vertical direction).
And S406, displaying the multimedia content in the corresponding content set in the distributed display area.
Optionally, after allocating a presentation area for each content set, the multimedia content in the corresponding content set may be presented in the allocated presentation area. Furthermore, each display area is provided with a display theme, so that the user can intuitively know the displayed content set; the presentation theme is used to summarize the commonalities of the multimedia contents in the corresponding content collection, such as classical drama, new song list of the whole network, and the like.
Optionally, as an optional manner of the embodiment of the present disclosure, displaying the multimedia content in the corresponding content set in the allocated display area may be: setting a content display frame in the distributed display area and the identification attribute of the multimedia type of the content display frame; and displaying the multimedia contents in the content set in the content display frame, and assigning the identification attribute of the multimedia type of the content display frame according to the multimedia contents corresponding to the content display frame.
The content display frames refer to interfaces for displaying multimedia contents, and each content display frame corresponds to one multimedia content; optionally, for each presentation area, the number of the content presentation frames may be determined according to the number of the multimedia content in the content set corresponding to the presentation area. In addition, each content presentation box has an identification attribute; furthermore, the identification attribute of the content display frame is related to the multimedia type, and the identification attributes of different multimedia types are different. For example, if the multimedia type is a television show, the identification attribute is an update set number; if the multimedia type is a movie, the identification attribute is a score; if the multimedia type is music, the attribute is identified as a playing control; if the multimedia type is a synthesis art, the identification attribute is an update period number; if the multimedia type is news, the identification attribute is an update date; if the multimedia type is short video, the identification attribute is the playing duration; if the multimedia type is drama, the identification attribute is a playing control and a collection number; if the multimedia type is audio book, the identification attribute is playing control, chapter number and the like.
Optionally, the value of the identifier attribute may be determined based on the multimedia content displayed by the content display frame. For example, if the multimedia content displayed in a certain content display frame is xx drama, the value of the identifier attribute may be updated to X set; if the multimedia content displayed by a certain content display frame is xx movie, the value of the identifier attribute may be 9.0; for another example, if the multimedia content displayed in a certain content display frame is xx synthesis, the value of the identifier attribute may be 20210219 th day. Further, when the identifier attribute is a play control, the value of the identifier attribute may be, for example, a play pause character; when the identifier attribute is a play control and a collection, the value of the identifier attribute may be, for example, a play pause character and a total X collection; when the identification attribute is the update date, the value of the identification attribute may be, for example, 20210219; when the identifier attribute is the play duration, the value of the identifier attribute may be, for example, 03: 17, and the like.
Specifically, for each allocated display area, the number of content display frames may be determined according to the number of multimedia contents in the content set corresponding to the display area, and the content display frames are sequentially set in the display area according to the size of each content display frame and the size of the smart speaker display unit (such as a display screen). For example, 5 content display frames are sequentially arranged in the display area 41 in the display interface shown in fig. 4B. And each content display frame correspondingly displays one multimedia content, and if the display area 1 is used for displaying the television series, the value of the identification attribute of each content display frame is updated to the X set.
In addition, it should be noted that, in general, a screenshot corresponding to recommended content is set in the content display frame, so that a user can intuitively know what the content to be displayed in the content display frame is, and convenience is provided for the user to quickly capture the recommended content desired by the user. Further, the screen shot set in the content presentation box may be a representative screen of the content to be recommended, or may be a set of one or more screens thereof.
Furthermore, in order to facilitate the user to distinguish various types of multimedia contents, different content display frames may be set for different content sets in this embodiment; specifically, the size information of the content display frames of different content sets is different.
It should be noted that, in the embodiment, the content display frame is introduced to display the multimedia content, which is equivalent to introducing a boundary between adjacent multimedia contents, so that a user can quickly locate different multimedia contents; meanwhile, different identification attributes are set for different multimedia types, so that a user can visually distinguish various multimedia contents.
According to the technical scheme of the embodiment, under the condition that the types of the display contents are diversified, the multimedia contents in the corresponding content set are displayed by introducing the display area, so that the neatness of the display interface is increased, the user can conveniently and visually distinguish various multimedia contents, and the visual impression of the user is improved.
In the technical scheme of the present disclosure, the acquisition, storage, and application of the historical usage behavior data of the smart sound box by the user, the historical usage behavior data of the auxiliary application and/or the auxiliary terminal by the user, the attribute information of the user, and the like all meet the regulations of related laws and regulations, and do not violate the good custom of the public order.
Fig. 5 is a schematic structural diagram of an apparatus for recommending multimedia content according to an embodiment of the present disclosure. The embodiment of the disclosure is suitable for a situation of how to recommend multimedia content to a user, and is particularly suitable for a situation of actively recommending the multimedia content to the user by an intelligent sound box configured with a display unit (such as a display screen). The device may be implemented in software and/or hardware, and may be integrated in a smart speaker box configured with a display unit. The device can execute the recommendation method of the multimedia content according to any embodiment of the disclosure. As shown in fig. 5, the apparatus 500 for recommending multimedia content includes:
a tag data determining module 501, configured to determine tag data of a target user;
a content stream determining module 502, configured to determine a content stream including at least two multimedia types for a target user according to the tag data;
and a content stream display module 503, configured to display the content stream to the target user through a display unit of the smart speaker.
According to the technical scheme, the intelligent sound box obtains at least two multimedia types of content streams aiming at the target user through label data based on the target user, and displays the content streams through the configured display unit. Compared with the existing scheme that the intelligent sound box recommends the multimedia content to the user, the scheme realizes personalized recommendation, enriches the types of the displayed content, further meets the diversified and personalized requirements of the user, and provides a new idea for realizing the recommendation of the multimedia content in the scene of the intelligent sound box.
Illustratively, the content stream presentation module 503 includes:
the aggregation unit is used for aggregating the multimedia contents in the content stream according to the multimedia types to obtain a content set corresponding to each multimedia type;
the display sequence determining unit is used for determining the display sequence of each content set according to the association degree of the content sets and the label data;
and the display unit is used for displaying the multimedia contents in each content set on a display interface of the display unit according to the display sequence.
Illustratively, the display unit includes:
the display area distribution subunit is used for distributing display areas for the content sets on a display interface of the display unit according to the display sequence and the set direction;
and the display subunit is used for displaying the multimedia content in the corresponding content set in the distributed display area.
Illustratively, the presentation subunit is specifically configured to:
setting a content display frame in the distributed display area and the identification attribute of the multimedia type of the content display frame;
and displaying the multimedia contents in the content set in the content display frame, and assigning the identification attribute of the multimedia type of the content display frame according to the multimedia contents corresponding to the content display frame.
Illustratively, the identifying attributes of the multimedia type include at least one of:
if the multimedia type is TV play, the identification attribute is the number of update sets;
if the multimedia type is a movie, the identification attribute is a score;
if the multimedia type is music, the attribute is identified as a playing control;
if the multimedia type is a synthesis art, the identification attribute is an update period number;
if the multimedia type is news, the identification attribute is an update date.
For example, the tag data includes behavior tag data, and the tag data determining module 501 is specifically configured to:
determining behavior tag data of a target user according to historical use behavior data of the target user on the auxiliary application and/or the auxiliary terminal and historical use behavior data of the target user on the intelligent sound box; the auxiliary application and/or the auxiliary terminal and the account information of the intelligent sound box are the same, and the behavior tag data comprises interested multimedia types.
Illustratively, the content stream determination module 502 is specifically configured to:
and determining content streams comprising at least two multimedia types for the target user according to the behavior tag data and historical use behavior data of the target user on the intelligent sound box by similar users.
For example, if the tag data includes basic tag data, the tag data determining module 501 is specifically configured to:
acquiring basic tag data of a target user from configuration information of the intelligent sound box; wherein the basic tag data includes an age and a family mode, the family mode including at least one of a child family, a preschool family, a primary school family, a young family, and an elderly family.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 6, the electronic device 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 can also be stored. The calculation unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Various components in the electronic device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the electronic device 600 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 601 performs the respective methods and processes described above, such as a recommendation method of multimedia content. For example, in some embodiments, the recommendation method for multimedia content may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into the RAM 603 and executed by the computing unit 601, one or more steps of the method for recommending multimedia content described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured by any other suitable means (e.g. by means of firmware) to perform the recommendation method of multimedia content.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (19)
1. A method of recommending multimedia content, comprising:
determining tag data of a target user;
determining a content stream comprising at least two multimedia types for the target user according to the tag data;
and displaying the content stream to the target user through a display unit of the intelligent sound box.
2. The method of claim 1, wherein the presenting the content stream to the target user via a display unit of a smart sound box comprises:
according to the multimedia types, the multimedia contents in the content stream are aggregated to obtain content sets corresponding to the multimedia types;
determining the display sequence of each content set according to the association degree of the content sets and the label data;
and displaying the multimedia contents in each content set on a display interface of the display unit according to the display sequence.
3. The method of claim 2, wherein the presenting the multimedia content in each content set on the presentation interface of the display unit in the presentation order comprises:
distributing display areas for the content sets on the display interface of the display unit according to the display sequence and the set direction;
and displaying the multimedia content in the corresponding content set in the allocated display area.
4. The method of claim 3, wherein said presenting multimedia content in a corresponding set of content within an assigned presentation area comprises:
setting a content display frame in the distributed display area and the identification attribute of the multimedia type of the content display frame;
and displaying the multimedia contents in the content set in the content display frame, and assigning the identification attribute of the multimedia type of the content display frame according to the multimedia contents corresponding to the content display frame.
5. The method of claim 4, wherein the identifying attributes of the multimedia type comprise at least one of:
if the multimedia type is TV play, the identification attribute is the number of update sets;
if the multimedia type is a movie, the identification attribute is a score;
if the multimedia type is music, the attribute is identified as a playing control;
if the multimedia type is a synthesis art, the identification attribute is an update period number;
if the multimedia type is news, the identification attribute is an update date.
6. The method of claim 1, wherein the tag data comprises behavioral tag data;
the determining of the tag data of the target user comprises:
determining behavior tag data of a target user according to historical use behavior data of the target user on an auxiliary application and/or an auxiliary terminal and historical use behavior data of the target user on the intelligent sound box; the auxiliary application and/or the auxiliary terminal and the account information of the intelligent sound box are the same, and the behavior tag data comprise interested multimedia types.
7. The method of claim 6, wherein said determining a content stream comprising at least two multimedia types for the target user based on the tag data comprises:
and determining content streams comprising at least two multimedia types for the target user according to the behavior tag data and historical use behavior data of the target user on the intelligent sound box by similar users.
8. The method of claim 1, wherein the tag data comprises base tag data;
the determining of the tag data of the target user comprises:
acquiring basic label data of the target user from the configuration information of the intelligent sound box; wherein the basic tag data includes an age and a family mode, the family mode including at least one of a child family, a preschool family, a primary school family, a young family, and an elderly family.
9. An apparatus for recommending multimedia contents, comprising:
the tag data determining module is used for determining tag data of a target user;
a content stream determining module, configured to determine, according to the tag data, a content stream including at least two multimedia types for the target user;
and the content stream display module is used for displaying the content stream to the target user through a display unit of the intelligent sound box.
10. The apparatus of claim 9, wherein the content stream presentation module comprises:
the aggregation unit is used for aggregating the multimedia contents in the content stream according to the multimedia types to obtain a content set corresponding to each multimedia type;
the display sequence determining unit is used for determining the display sequence of each content set according to the association degree of the content sets and the label data;
and the display unit is used for displaying the multimedia contents in each content set on a display interface of the display unit according to the display sequence.
11. The device of claim 10, wherein the presentation unit comprises:
the display area distribution subunit is used for distributing display areas for the content sets on the display interface of the display unit according to the display sequence and the set direction;
and the display subunit is used for displaying the multimedia content in the corresponding content set in the distributed display area.
12. The device of claim 11, wherein the presentation subunit is specifically configured to:
setting a content display frame in the distributed display area and the identification attribute of the multimedia type of the content display frame;
and displaying the multimedia contents in the content set in the content display frame, and assigning the identification attribute of the multimedia type of the content display frame according to the multimedia contents corresponding to the content display frame.
13. The apparatus of claim 12, wherein the identifying attribute of the multimedia type comprises at least one of:
if the multimedia type is TV play, the identification attribute is the number of update sets;
if the multimedia type is a movie, the identification attribute is a score;
if the multimedia type is music, the attribute is identified as a playing control;
if the multimedia type is a synthesis art, the identification attribute is an update period number;
if the multimedia type is news, the identification attribute is an update date.
14. The apparatus of claim 9, wherein the tag data comprises behavioral tag data;
the tag data determination module is specifically configured to:
determining behavior tag data of a target user according to historical use behavior data of the target user on an auxiliary application and/or an auxiliary terminal and historical use behavior data of the target user on the intelligent sound box; the auxiliary application and/or the auxiliary terminal and the account information of the intelligent sound box are the same, and the behavior tag data comprise interested multimedia types.
15. The apparatus of claim 14, wherein the content stream determination module is specifically configured to:
and determining content streams comprising at least two multimedia types for the target user according to the behavior tag data and historical use behavior data of the target user on the intelligent sound box by similar users.
16. The apparatus of claim 9, wherein the tag data comprises base tag data;
the tag data determination module is specifically configured to:
acquiring basic label data of the target user from the configuration information of the intelligent sound box; wherein the basic tag data includes an age and a family mode, the family mode including at least one of a child family, a preschool family, a primary school family, a young family, and an elderly family.
17. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of recommending multimedia content of any of claims 1-8.
18. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method of recommending multimedia contents according to any one of claims 1-8.
19. A computer program product comprising a computer program which, when executed by a processor, implements a method of recommendation of multimedia content according to any of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110412883.7A CN113111197A (en) | 2021-04-16 | 2021-04-16 | Multimedia content recommendation method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110412883.7A CN113111197A (en) | 2021-04-16 | 2021-04-16 | Multimedia content recommendation method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113111197A true CN113111197A (en) | 2021-07-13 |
Family
ID=76718069
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110412883.7A Pending CN113111197A (en) | 2021-04-16 | 2021-04-16 | Multimedia content recommendation method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113111197A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114114947A (en) * | 2021-12-24 | 2022-03-01 | 珠海格力电器股份有限公司 | Control method and device of intelligent household equipment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120254363A1 (en) * | 2011-03-29 | 2012-10-04 | Bose Corporation | Multimedia Analysis and Recommendation Generation |
| CN108471542A (en) * | 2018-03-27 | 2018-08-31 | 南京创维信息技术研究院有限公司 | The resources of movie ＆ TV playback method, intelligent sound box and storage medium based on intelligent sound box |
| CN109815368A (en) * | 2018-12-10 | 2019-05-28 | 百度在线网络技术（北京）有限公司 | Resource recommendation method, device, equipment and computer readable storage medium |
| CN110110101A (en) * | 2018-09-21 | 2019-08-09 | 北京字节跳动网络技术有限公司 | Recommended method, device, terminal, server and the readable medium of multimedia content |
| CN110300181A (en) * | 2019-07-03 | 2019-10-01 | 百度在线网络技术（北京）有限公司 | Content delivery method, device, equipment and storage medium |
| US20200099988A1 (en) * | 2018-09-20 | 2020-03-26 | Boe Technology Group Co., Ltd. | Method, device and system for processing bullet screen |
| GB202009291D0 (en) * | 2020-06-18 | 2020-08-05 | Public Transp Media Ltd | Vehicular multimedia platform |
| CN112131411A (en) * | 2020-09-21 | 2020-12-25 | 腾讯科技（深圳）有限公司 | Multimedia resource recommendation method and device, electronic equipment and storage medium |
| CN112269867A (en) * | 2020-11-17 | 2021-01-26 | 北京百度网讯科技有限公司 | Method, device, equipment and storage medium for pushing information |
| CN112464075A (en) * | 2019-09-06 | 2021-03-09 | 百度在线网络技术（北京）有限公司 | Application recommendation method and device of intelligent sound box and electronic equipment |
| CN112528146A (en) * | 2020-12-09 | 2021-03-19 | 北京百度网讯科技有限公司 | Content resource recommendation method and device, electronic equipment and storage medium |
-
2021
- 2021-04-16 CN CN202110412883.7A patent/CN113111197A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120254363A1 (en) * | 2011-03-29 | 2012-10-04 | Bose Corporation | Multimedia Analysis and Recommendation Generation |
| CN108471542A (en) * | 2018-03-27 | 2018-08-31 | 南京创维信息技术研究院有限公司 | The resources of movie ＆ TV playback method, intelligent sound box and storage medium based on intelligent sound box |
| US20200099988A1 (en) * | 2018-09-20 | 2020-03-26 | Boe Technology Group Co., Ltd. | Method, device and system for processing bullet screen |
| CN110110101A (en) * | 2018-09-21 | 2019-08-09 | 北京字节跳动网络技术有限公司 | Recommended method, device, terminal, server and the readable medium of multimedia content |
| CN109815368A (en) * | 2018-12-10 | 2019-05-28 | 百度在线网络技术（北京）有限公司 | Resource recommendation method, device, equipment and computer readable storage medium |
| CN110300181A (en) * | 2019-07-03 | 2019-10-01 | 百度在线网络技术（北京）有限公司 | Content delivery method, device, equipment and storage medium |
| CN112464075A (en) * | 2019-09-06 | 2021-03-09 | 百度在线网络技术（北京）有限公司 | Application recommendation method and device of intelligent sound box and electronic equipment |
| GB202009291D0 (en) * | 2020-06-18 | 2020-08-05 | Public Transp Media Ltd | Vehicular multimedia platform |
| CN112131411A (en) * | 2020-09-21 | 2020-12-25 | 腾讯科技（深圳）有限公司 | Multimedia resource recommendation method and device, electronic equipment and storage medium |
| CN112269867A (en) * | 2020-11-17 | 2021-01-26 | 北京百度网讯科技有限公司 | Method, device, equipment and storage medium for pushing information |
| CN112528146A (en) * | 2020-12-09 | 2021-03-19 | 北京百度网讯科技有限公司 | Content resource recommendation method and device, electronic equipment and storage medium |
Non-Patent Citations (3)
| Title |
|---|
| 晏涛: "《超级用户增长 低成本实现私域用户持续复购》", 31 December 2020, 中国友谊出版公司, pages: 125 * |
| 王宇等: "2018年网络音频产业报告", 中国广播, no. 5, 20 May 2019 (2019-05-20), pages 36 - 43 * |
| 薛福亮: "《电子商务推荐相关技术及其改进机制》", 30 June 2014, 中国财富出版社, pages: 148 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114114947A (en) * | 2021-12-24 | 2022-03-01 | 珠海格力电器股份有限公司 | Control method and device of intelligent household equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2017181612A1 (en) | Personalized video recommendation method and device | |
| US11816111B2 (en) | Methods, systems, and media for presenting related media content items | |
| US20150296228A1 (en) | Systems and Methods for Performing Multi-Modal Video Datastream Segmentation | |
| US20140013200A1 (en) | Video comment feed with prioritization | |
| US20140012910A1 (en) | Video comment feed | |
| US11023100B2 (en) | Methods, systems, and media for creating and updating a group of media content items | |
| US9658994B2 (en) | Rendering supplemental information concerning a scheduled event based on an identified entity in media content | |
| WO2016133600A1 (en) | Methods, systems, and media for presenting search results | |
| AU2014274688A1 (en) | Generating a feed of content items associated with a topic from multiple content sources | |
| CN103718166A (en) | Information processing apparatus, information processing method, and computer program product | |
| CN105760521A (en) | Information input method and device | |
| GB2560597A (en) | Determining search queries for obtaining information during a user experience of an event | |
| KR20210005733A (en) | Predict topics for potential relevance based on searched/generated digital media files | |
| CN110263272A (en) | The system and method for content item relevant to theme for rendering | |
| CN113779381B (en) | Resource recommendation method, device, electronic equipment and storage medium | |
| WO2022247220A9 (en) | Interface processing method and apparatus | |
| US11470371B2 (en) | Methods, systems, and media for indicating viewership of a video | |
| US9325754B2 (en) | Information processing device and information processing method | |
| US11250468B2 (en) | Prompting web-based user interaction | |
| EP3149615A1 (en) | Information processing device, information processing method, and program | |
| KR101873339B1 (en) | System and method for providing interest contents | |
| CN104954824B (en) | It is a kind of for carrying out the method, equipment and system of video setting | |
| CN111177462A (en) | Method and device for determining video distribution timeliness | |
| CN113111197A (en) | Multimedia content recommendation method, device, equipment and storage medium | |
| CN111353070A (en) | Video title processing method and device, electronic equipment and readable storage medium |
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 |