CN118013133A - Content recommendation method of meta-universe, meta-universe device and readable storage medium - Google Patents
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Abstract
The invention discloses a content recommendation method of a meta-universe, meta-universe equipment and a readable storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring emotion state information when a user logs in meta-universe equipment; acquiring recommended content according to the emotion state information and the historical search record of the user; and displaying the recommended content. The embodiment of the invention can improve the information retrieval and positioning efficiency in the meta universe and improve the recommendation accuracy.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a meta-universe content recommendation method, a meta-universe device, and a readable storage medium.
Background
The meta universe is used as an emerging artificial intelligence technology after virtual reality, the immersion experience of the whole body and mind of a user in a virtual scene is realized through means of holographic projection, brain-computer interfaces and the like, and an ultra-reality three-dimensional virtual world is created. Compared with the virtual reality technology, the meta universe has no limitation of view angle, and users can freely move and interact, so that the method is more suitable for realizing the experience of swarming and socialization.
With the development of the metauniverse, more and more users and enterprises expand the business to the virtual world, the users can input keywords to be searched in the metauniverse search engine, and the metauniverse search engine screens massive information in the metauniverse based on the search keywords input by the users to acquire recommended content.
At present, the content recommendation mode in the prior meta universe has the problems of low information retrieval and positioning efficiency and low accuracy, and cannot meet the use experience of the user in the fast food culture age.
Disclosure of Invention
The embodiment of the invention provides a content recommendation method, meta-universe equipment and a readable storage medium for a meta-universe, which are used for solving the problems of low information retrieval and positioning efficiency and low accuracy of a content recommendation mode in the existing meta-universe.
In a first aspect, an embodiment of the present invention provides a content recommendation method for a meta-universe, including:
acquiring emotion state information when a user logs in meta-universe equipment;
acquiring recommended content according to the emotion state information and the historical search record of the user;
And displaying the recommended content.
In some embodiments, the obtaining emotional state information when the user logs into the meta-cosmic device includes:
When a user logs in a meta-universe device, carrying out facial scanning by using the meta-universe device to acquire facial features of the user;
performing a first identity verification using the facial features;
And under the condition that the first identity verification is passed, carrying out emotion analysis on the facial features to obtain the emotion state information.
In some embodiments, obtaining recommended content according to the emotional state information and the historical search record of the user includes:
Acquiring iris information of a user by using the meta-universe device;
performing second identity verification according to the iris information;
and under the condition that the second identity verification is passed, acquiring recommended content according to the emotion state information and the historical search record of the user.
In some embodiments, the obtaining recommended content according to the emotional state information when the user logs in the meta-cosmic device and the historical search record of the user includes:
according to the emotion state information and the history search record, N pieces of playing data are screened out from the playing data updated by the meta-universe system in a preset period;
And selecting M pieces of playing data from the N pieces of playing data to serve as the recommended content according to the preference information of the user, wherein N and M are positive integers, and N is more than or equal to M.
In some embodiments, according to the emotional state information and the historical search record, selecting N pieces of playing data from the playing data updated by the meta-space system in a preset period of time includes:
Determining a location area where the user is located;
and screening N pieces of playing data corresponding to the position area from the playing data updated by the meta-universe system in a preset period according to the emotion state information and the historical search record.
In some embodiments, after the displaying the recommended content, the method further comprises:
acquiring user characteristic data when a user watches the recommended content;
determining the satisfaction degree of the user on the recommended content according to the user characteristic data;
and when the satisfaction degree is smaller than a preset degree threshold, displaying first information, wherein the first information is used for prompting a user to search.
In some embodiments, the user characteristic data includes at least one of: eyebrow features, eyelid features, eye state;
The determining the satisfaction degree of the user on the recommended content according to the user characteristic data comprises the following steps:
When the user characteristic data meets a first characteristic state and the duration exceeds a first preset duration, determining that the satisfaction degree of the user on the recommended content is greater than or equal to the preset degree threshold; or alternatively
And when the user characteristic data meets a second characteristic state and the duration exceeds a second preset duration, determining that the satisfaction degree of the user on the recommended content is smaller than the preset degree threshold.
In some embodiments, the user characteristic data includes hand motion characteristics;
The determining the satisfaction degree of the user on the recommended content according to the user characteristic data comprises the following steps:
When the hand action feature meets a third feature state and the duration exceeds a third preset duration, determining that the satisfaction degree of the user on the recommended content is greater than or equal to the preset degree threshold; or alternatively
And when the hand action feature meets a fourth feature state and the duration exceeds a fourth preset duration, determining that the satisfaction degree of the user on the recommended content is smaller than the preset degree threshold.
In some embodiments, after the displaying the recommended content, the method further comprises:
acquiring an operation behavior record of a user aiming at the recommended content;
and optimizing the meta space search engine by using a machine learning algorithm according to the operation behavior record.
In a second aspect, an embodiment of the present invention further provides a meta-cosmic device, including: a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor; the processor is configured to read a program in the memory to implement the steps in the content recommendation method of the meta universe as described above.
In a third aspect, embodiments of the present invention also provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps in the content recommendation method of the meta universe as described above.
In the embodiment of the invention, the emotional state information of the user when logging in the meta-universe equipment is obtained; acquiring recommended content according to the emotion state information and the historical search record of the user; and further displaying the recommended content. Thus, by utilizing the scheme of the embodiment of the invention, when the user logs in the meta-universe system, the user does not need to input search keywords, personalized content recommendation can be automatically completed based on the emotion state and the historical search record when the user logs in the meta-universe device, and the recommended content accords with the emotion state requirement and the historical search preference of the user, so that the information retrieval and positioning efficiency in the meta-universe is improved, and the recommendation accuracy is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments of the present invention will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort to a person of ordinary skill in the art.
FIG. 1 is a flow chart of a content recommendation method for a meta-universe provided by an embodiment of the present invention;
FIG. 2 is a block diagram of a meta-universe content recommendation device provided by an embodiment of the present invention;
Fig. 3 is a schematic hardware structure of a meta-cosmic device according to an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart of a meta-universe content recommendation method provided by an embodiment of the present invention, as shown in fig. 1, including the following steps:
Step 101: and acquiring emotion state information when the user logs in the meta-universe device.
In an optional application scene, before a user wears the meta-cosmic equipment and enters a virtual scene, the face of the user is scanned by the meta-cosmic equipment, and facial features of the user when logging in the meta-cosmic equipment are obtained; further, based on an emotion analysis algorithm, the facial features are analyzed to obtain emotional state information, including but not limited to: excitement, sadness, anger, fear, depression, calm, etc.
Facial features include, but are not limited to: eyebrow features, eye features, facial muscle features, mouth shape features, etc.
In an alternative embodiment, the obtained facial features may be compared with various emotion template pictures to obtain emotion state information corresponding to the facial features.
It is noted that the metauniverse device may be a Mixed Reality device (MR).
Step 102: acquiring recommended content according to the emotion state information and the historical search record of the user;
As an alternative implementation manner, the corresponding relation between the emotion state information and the play data type can be preset, at least one target play data type corresponding to the emotion state information is obtained based on the corresponding relation, and the search preference of the user can be obtained further according to the history search record of the user; taking the intersection of the search preference and the target play data type as at least one play data type to be recommended; or the union of the search preference and the target play data type is used as at least one play data type to be recommended.
For example, based on a user's historical search records, the user's search preferences are known as: content related to technical news is often searched and read. Based on this search preference, the recommended data types may include: technical news articles, technical product reviews, technical trend reports, and the like.
For example, the correspondence between the emotional state information and the play data type may include:
(1) In the excited state, the recommended play data types are: love, suspense, light music, sports highlights, fast paced music, segment anchor, etc.;
(2) In sad state, the recommended play data types are: comedy, variety, cheerful music, etc.;
(3) In the depression state, the recommended play data types are: martial arts, comedy, generous music, etc.;
(4) In the calm state, the recommended play data types are: sports, technical news, technical product reviews, technical trend reports, new songs, popular songs, narrative movies, soothing music, etc.;
(5) When anger status, a rock song is recommended. Electronic athletic, etc.;
(6) When the state is afraid, the courage theme movie, the positive energy news and the like are recommended.
Step 103: and displaying the recommended content.
In this step, displaying the recommended content includes: displaying a recommendation interface for retaining the recommendation content or directly playing the recommendation content.
Optionally, the types of recommended content include, but are not limited to, at least one of the following types:
(1) Video and audio content: including movies, television shows, music, radio programs, podcasts, 3D video, 360 ° panoramic video, etc.
(2) Game and virtual world: including virtual reality games, augmented reality applications, multiplayer online games, etc.
(3) Social media and community interactions: including social networks, chat applications, forums, blogs, etc.
(4) Virtual goods and digital assets: including virtual currency, digital artwork, virtual properties, and the like.
(5) Educational and training resources: including online courses, educational software, training materials, and the like.
(6) Virtual travel and experience: including virtual tourist attractions, virtual museums, virtual reality travel experiences, etc.
(7) Information and news: including news stories, current commentary, industry dynamics, etc.
(8) Personal profile and interest tags: including personal information, hobbies, historical behavior, etc. of the user.
In the above embodiment, when the user logs in the meta-universe system, the personalized content recommendation can be automatically completed based on the emotion state and the history search record when the user logs in the meta-universe device without inputting search keywords, and the recommended content accords with the emotion state requirement and the history search preference of the user, so that the information retrieval and positioning efficiency in the meta-universe is improved, and the recommendation accuracy is improved.
In some embodiments, in step 101, obtaining the emotional state information when the user logs in to the meta-cosmic device includes:
when a user logs in the meta-universe device, facial scanning is carried out by using the meta-universe device, and facial features of the user are obtained;
performing a first identity verification using the facial features;
And under the condition that the first identity verification is passed, carrying out emotion analysis on the facial features to obtain the emotion state information.
In the embodiment, when the user logs in the meta-universe device, the first identity verification is performed, and meanwhile, the emotion analysis is performed on the facial features of the user, so that on one hand, the problem that recommended content is inaccurate due to mismatching between the user identity and the historical search record can be avoided, and on the other hand, an additional function entrance is not required to be added to start an emotion analysis function, and the emotion analysis can be implemented under the condition that the user is not felt.
In some embodiments, in step 102, obtaining recommended content according to the emotional state information and the historical search record of the user includes:
Acquiring iris information of a user by using the meta-universe device;
performing second identity verification according to the iris information;
and under the condition that the second identity verification is passed, acquiring recommended content according to the emotion state information and the historical search record of the user.
In an alternative embodiment, after the user wears the meta-cosmic device, iris information of the user is collected, and the second identity verification is performed by using the iris information.
In the above embodiment, the second identity verification is performed based on the iris information of the user, so that the correctness of the user identity can be ensured, on one hand, the problem that the recommended content is inaccurate due to mismatching between the user identity and the history search record can be avoided, on the other hand, the information such as the hobbies, the preferences and the demands of the user can be obtained based on the user identity, so that the more accurate and targeted recommended content is provided for the user, and on the other hand, the user identity is verified for the second time, the display safety of the recommended result can be ensured, the privacy of the user is protected, and the privacy leakage of the user is avoided.
In some embodiments, in step 102, the obtaining recommended content according to the emotional state information when the user logs in the meta-cosmic device and the historical search record of the user includes:
according to the emotion state information and the history search record, N pieces of playing data are screened out from the playing data updated by the meta-universe system in a preset period;
And selecting M pieces of playing data from the N pieces of playing data to serve as the recommended content according to the preference information of the user, wherein N and M are positive integers, and N is more than or equal to M.
Optionally, the preset time period is a preset time period from a time point when the user logs in the meta-cosmic device to the previous.
In particular, the N pieces of playing data may be ordered according to preference information of the user, so as to obtain the first M pieces of playing data as the recommended content.
Optionally, the manner of acquiring the preference information of the user may include at least one of the following:
Obtaining preference information of a user based on the interest field input when the user registers the meta-universe device; for example, the area of interest is artificial intelligence or blockchain, then the user's preference information includes deep stories, courses, or industry dynamics related to the artificial intelligence or blockchain.
Based on the interactive data of the user in the searching or browsing process, obtaining preference information of the user; for example, if the user expresses a positive emotion for the class a content during the search or browsing process, such as by clicking a like button, sharing an article, or posting a positive comment, the user preference information includes play data related to the class a content; for another example, if the user expresses negative emotion to the B-class content during the search or browsing process, the user preference information includes the a-class content to provide a pleasant use experience for the user; for another example, if the user reported class B content or posted a negative comment for class B content, the user preference information does not include class B content so as not to cause further negative emotion.
Acquiring preference information of a user based on the historical search record; for example, if a user frequently searches and browses content about fitness, healthy diet, and weight loss, the user's preference information includes healthy lifestyle, exercise program, or healthy recipe, etc. related to the health maintenance.
In the above embodiment, based on the preference information of the user, the N pieces of playing data are screened out according to the emotional state information and the historical search record and ranked, so that the obtained recommended content can better meet the preference and the requirement of the user, and the accuracy of the recommended content is improved.
In some embodiments, according to the emotional state information and the historical search record, selecting N pieces of playing data from the playing data updated by the meta-space system in a preset period of time includes:
Determining a location area where the user is located;
and screening N pieces of playing data corresponding to the position area from the playing data updated by the meta-universe system in a preset period according to the emotion state information and the historical search record.
Optionally, the N pieces of playing data corresponding to the location area include: broadcast data published in the location area and/or broadcast data associated with the location area.
For example, during travel, the user may directly limit the area of recommended content according to a space dimension, such as directly presenting panoramic video of a popular scenic spot of a current city, and the like, and a time dimension, such as presenting popular video, music, books, and the like within a current preset period. In this way, by combining the space dimension and the time dimension, more accurate recommended content can be provided for the user.
In this embodiment, when determining the recommended content for the user, the location area where the user is located is comprehensively considered, so that the recommended content is related to the location of the area where the user is located, and the user's interest and demand are more met.
In some embodiments, after displaying the recommended content in step 103, the method further includes:
acquiring user characteristic data when a user watches the recommended content;
determining the satisfaction degree of the user on the recommended content according to the user characteristic data;
and when the satisfaction degree is smaller than a preset degree threshold, displaying first information, wherein the first information is used for prompting a user to search.
Wherein the user characteristic data includes, but is not limited to: facial motion characteristics, eye characteristics, hand characteristics.
Optionally, the first information includes, but is not limited to: text, sound, pictures, expressions, animations, etc.
In the above embodiment, after the recommended content is displayed, when it is determined that the degree of satisfaction of the user with the recommended content is less than the preset degree threshold value, the user is not satisfied with the recommended content by viewing the user characteristic data when the user views the recommended content; when the user is dissatisfied, the user can be prompted to actively search for the required content by displaying the first information, so that the user can conveniently and quickly search for the related content, and the user is prevented from being in bad use experience.
In some embodiments, the user characteristic data includes at least one of: eyebrow features, eyelid features, eye state;
The determining the satisfaction degree of the user on the recommended content according to the user characteristic data comprises the following steps:
When the user characteristic data meets a first characteristic state and the duration exceeds a first preset duration, determining that the satisfaction degree of the user on the recommended content is greater than or equal to the preset degree threshold; or alternatively
And when the user characteristic data meets a second characteristic state and the duration exceeds a second preset duration, determining that the satisfaction degree of the user on the recommended content is smaller than the preset degree threshold.
Optionally, the first feature state includes at least one of: the eyebrow feature is a stretched state, the eyelid feature is an open eye state, and the eye state is a gazing screen state.
Optionally, the second characteristic state includes at least one of: the eyebrow features are a wrinkled state, the eyelid features are a closed eye state, and the eye state is an unfocused screen state.
Alternatively, the preset degree threshold, the first preset duration, and the second preset duration may be preset standard amounts.
In an alternative embodiment, the corresponding relation between the different user characteristic states and the satisfaction degree can be obtained through a preset mode, and the satisfaction degree value corresponding to the first characteristic state or the second characteristic state is further determined based on the corresponding relation.
Illustratively, the correspondence between the user feature status and the satisfaction degree may be as follows:
TABLE 1 correspondence table of user characteristic status and satisfaction value
In table 1 above, the magnitudes of the first satisfaction value to the sixth satisfaction value are sequentially increased.
It should be noted that, the above table 1 is only an example, but not limited to this, and can be adjusted or set according to the requirement in practical application.
It should be noted that if the user's eyebrows are in a stretched state, eyes are open and looking at the screen, this indicates that the user is interested in and satisfied with the current recommended content. Conversely, if the user is frown, has eyes closed or has eyes free, this may indicate that the user is dissatisfied, confused or lost interest in the current content.
In the embodiment, the user can timely acquire the satisfaction degree of the user on the current recommended content by capturing and analyzing the eyebrow features and the eye features when watching the recommended content, so that the user can be timely provided with the prompt information of active searching based on the satisfaction degree of the user, and the user is prevented from continuously browsing the recommended content which is not interested, and the use experience of the user is prevented from being influenced.
In some embodiments, the user characteristic data includes hand motion characteristics; the determining the satisfaction degree of the user on the recommended content according to the user characteristic data comprises the following steps:
When the hand action feature meets a third feature state and the duration exceeds a third preset duration, determining that the satisfaction degree of the user on the recommended content is greater than or equal to the preset degree threshold; or alternatively
And when the hand action feature meets a fourth feature state and the duration exceeds a fourth preset duration, determining that the satisfaction degree of the user on the recommended content is smaller than the preset degree threshold.
It should be noted that, the user's hand is in a relaxed state, touching the screen lightly or maintaining a stable operation, possibly indicating that the user is satisfied with the current recommended content; conversely, if the hand frequently clicks or slides the screen, grabs the head, or kneads the eyebrows, it may indicate that the user is dissatisfied with the current recommendation, anxious, or tired.
Optionally, the third characteristic state includes at least one of: the hand is in a relaxed state, the pressure of the hand touching the screen is less than a preset pressure threshold, and the frequency of hand movements is less than a preset frequency threshold.
Optionally, the fourth characteristic state includes at least one of: the pressure of the hand touch screen is larger than or equal to a preset pressure threshold value, the frequency of hand actions is larger than or equal to a preset frequency threshold value, the hand touches the head and the hand touches the face.
Alternatively, the preset degree threshold, the third preset duration, and the fourth preset duration may be preset standard amounts.
In an alternative embodiment, the corresponding relation between the different user characteristic states and the satisfaction degree can be obtained through a preset mode, and the satisfaction degree corresponding to the first characteristic state is further determined based on the corresponding relation.
Illustratively, the correspondence between the user feature status and the satisfaction degree may be as follows:
TABLE 2 correspondence table of user characteristic status and satisfaction value
In table 2 above, the magnitude of the intent value 1 to the satisfaction value 8 increases in order.
It should be noted that, the above table 2 is only an example, and is not limited thereto, and may be adjusted or set according to the requirements in practical application.
In the embodiment, the user hand characteristics when the user views the recommended content are captured and analyzed, so that the satisfaction degree of the user can be timely obtained, prompt information of active searching is timely provided for the user based on the satisfaction degree of the user, and the situation that the user continues to browse uninteresting content and the use experience of the user is influenced is avoided.
In some embodiments, after displaying the recommended content in step 103, the method further includes:
acquiring an operation behavior record of a user aiming at the recommended content;
and optimizing the meta space search engine by using a machine learning algorithm according to the operation behavior record.
Optionally, the operational behavior record includes, but is not limited to: clicking operation, forwarding operation, comment operation, praise operation, scoring operation, feedback opinion and the like.
Optionally, the frequency of clicking a certain recommended result by the user is higher, so that the recommended result is known to have higher relevance and value for the user, and the recommendation engine can judge the quality of the certain recommended result by monitoring the clicking behavior; thereby adjusting the ordering and recommendation priority of the played content according to the click rate. Conversely, if a recommendation is rarely clicked or not clicked, the system may treat it as a lower quality recommendation and weight it down or exclude it from subsequent recommendations.
Optionally, a scoring record of the recommendation result, such as star rating or text feedback opinion information, of the user can be obtained; the recommendation system can collect the scoring and feedback opinion information, analyze and model by using a machine learning algorithm, capture the preference, interest and behavior mode of the user by using a neural network model, accurately predict the preference and the demand of the user and optimize the meta space search engine.
Optionally, the system may dynamically adjust and optimize the follow-up recommendation content according to the user's score and feedback opinion. For example, if a search result receives a high score and positive feedback frequently, the system may increase its ranking weight in similar queries, increasing its chance of occurrence. Conversely, if a recommended content receives negative feedback or low scores, the system may adjust its ranking weight, reducing its frequency of occurrence, or even excluding it from recommended content.
The embodiment of the invention also provides a content recommendation device of the meta universe. Referring to fig. 2, fig. 2 is a block diagram of a meta-universe content recommendation apparatus provided in an embodiment of the present invention.
As shown in fig. 2, an embodiment of the present application provides a content recommendation apparatus 200 of a meta space, including:
A first obtaining module 201, configured to obtain emotional state information of a user when logging in a meta-cosmic device;
a second obtaining module 202, configured to obtain recommended content according to the emotional state information and the historical search record of the user;
and the display module 203 is configured to display the recommended content.
In some embodiments, the first acquisition module 201 includes:
The first acquisition sub-module is used for carrying out facial scanning by using the meta-universe equipment when a user logs in the meta-universe equipment to acquire facial features of the user;
The first verification sub-module is used for carrying out first identity verification by utilizing the facial features;
And the second acquisition sub-module is used for carrying out emotion analysis on the facial features under the condition that the first identity verification is passed, so as to obtain the emotion state information.
In some embodiments, the second acquisition module 202 includes:
the third acquisition sub-module is used for acquiring iris information of a user by using the meta-universe equipment;
the second checking sub-module is used for carrying out second identity checking according to the iris information;
and the fourth acquisition sub-module is used for acquiring recommended content according to the emotion state information and the historical search record of the user under the condition that the second identity verification is passed.
In some embodiments, the second acquisition module 202 includes:
A fifth obtaining sub-module, configured to screen N pieces of playing data from the playing data updated by the meta-space system in a preset period according to the emotional state information and the history search record;
And a sixth acquisition sub-module, configured to select M pieces of play data from the N pieces of play data as the recommended content according to preference information of the user, where N and M are positive integers, and N is greater than or equal to M.
Optionally, the fifth acquisition sub-module includes:
the first acquisition unit is used for determining a position area where the user is located;
and the second acquisition unit is used for screening N pieces of playing data corresponding to the position area from the playing data updated by the meta-universe system in a preset period according to the emotion state information and the historical search record.
In some embodiments, the apparatus 200 further comprises:
the third acquisition module is used for acquiring user characteristic data when a user watches the recommended content;
The first determining module is used for determining the satisfaction degree of the user on the recommended content according to the user characteristic data;
And the prompting module is used for displaying first information when the satisfaction degree is smaller than a preset degree threshold value, and the first information is used for prompting a user to search.
In some embodiments, the user characteristic data includes at least one of: eyebrow features, eyelid features, eye state; a first determination module comprising:
the first determining submodule is used for determining that the satisfaction degree of the user on the recommended content is greater than or equal to the preset degree threshold value when the user characteristic data meets a first characteristic state and the duration exceeds a first preset duration; or alternatively
And the second determining submodule is used for determining that the satisfaction degree of the user on the recommended content is smaller than the preset degree threshold value when the user characteristic data meets a second characteristic state and the duration exceeds a second preset duration.
In some embodiments, the user characteristic data includes hand motion characteristics; a first determination module comprising:
A third determining submodule, configured to determine that, when the hand motion feature satisfies a third feature state and the duration exceeds a third preset duration, the satisfaction degree of the user with the recommended content is greater than or equal to the preset degree threshold; or alternatively
And the fourth determining submodule is used for determining that the satisfaction degree of the user on the recommended content is smaller than the preset degree threshold value when the hand action feature meets a fourth feature state and the duration exceeds a fourth preset duration.
In some embodiments, the apparatus 200 further comprises:
The fourth acquisition module is used for acquiring an operation behavior record of the user for the recommended content;
and the algorithm module is used for optimizing the meta-universe search engine by utilizing a machine learning algorithm according to the operation behavior record.
It should be noted that, since the principle of solving the problem of the meta-universe content recommendation device is similar to that of the meta-universe content recommendation method in the embodiment of the present invention, the implementation of the video processing device may refer to the implementation of the method, and the repetition is omitted.
As shown in fig. 3, the meta-cosmic device according to an embodiment of the present invention includes: a processor 300; and a memory 320 connected to the processor 300 through a bus interface, the memory 320 storing programs and data used by the processor 300 in performing operations, the processor 300 calling and executing the programs and data stored in the memory 320.
Wherein the transceiver 310 is connected to the bus interface for receiving and transmitting data under the control of the processor 300; the processor 300 is configured to read the program in the memory 320, and execute the following procedures:
acquiring emotion state information when a user logs in meta-universe equipment;
acquiring recommended content according to the emotion state information and the historical search record of the user;
And displaying the recommended content.
A transceiver 310 for receiving and transmitting data under the control of the processor 300.
Wherein in fig. 3, a bus architecture may comprise any number of interconnected buses and bridges, and in particular, one or more processors represented by processor 300 and various circuits of memory represented by memory 320, linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface. Transceiver 310 may be a number of elements, including a transmitter and a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 300 is responsible for managing the bus architecture and general processing, and the memory 320 may store data used by the processor 300 in performing operations.
The processor 300 is responsible for managing the bus architecture and general processing, and the memory 320 may store data used by the processor 400 in performing operations.
Optionally, the processor 300 is further configured to read the computer program, and perform the following steps:
when a user logs in the meta-universe device, facial scanning is carried out by using the meta-universe device, and facial features of the user are obtained;
performing a first identity verification using the facial features;
And under the condition that the first identity verification is passed, carrying out emotion analysis on the facial features to obtain the emotion state information.
Optionally, the processor 300 is further configured to read the computer program, and perform the following steps:
Acquiring iris information of a user by using the meta-universe device;
performing second identity verification according to the iris information;
and under the condition that the second identity verification is passed, acquiring recommended content according to the emotion state information and the historical search record of the user.
Optionally, the processor 300 is further configured to read the computer program, and perform the following steps:
according to the emotion state information and the history search record, N pieces of playing data are screened out from the playing data updated by the meta-universe system in a preset period;
And selecting M pieces of playing data from the N pieces of playing data to serve as the recommended content according to the preference information of the user, wherein N and M are positive integers, and N is more than or equal to M.
Optionally, the processor 300 is further configured to read the computer program, and perform the following steps:
Determining a location area where the user is located;
and screening N pieces of playing data corresponding to the position area from the playing data updated by the meta-universe system in a preset period according to the emotion state information and the historical search record.
Optionally, the processor 300 is further configured to read the computer program, and perform the following steps:
acquiring user characteristic data when a user watches the recommended content;
determining the satisfaction degree of the user on the recommended content according to the user characteristic data;
and when the satisfaction degree is smaller than a preset degree threshold, displaying first information, wherein the first information is used for prompting a user to search.
Optionally, the user characteristic data includes at least one of: eyebrow features, eyelid features, eye state; the processor 300 is further configured to read the computer program, and perform the following steps:
When the user characteristic data meets a first characteristic state and the duration exceeds a first preset duration, determining that the satisfaction degree of the user on the recommended content is greater than or equal to the preset degree threshold; or alternatively
And when the user characteristic data meets a second characteristic state and the duration exceeds a second preset duration, determining that the satisfaction degree of the user on the recommended content is smaller than the preset degree threshold.
Optionally, the user feature data includes hand motion features; the processor 300 is further configured to read the computer program, and perform the following steps:
When the hand action feature meets a third feature state and the duration exceeds a third preset duration, determining that the satisfaction degree of the user on the recommended content is greater than or equal to the preset degree threshold; or alternatively
And when the hand action feature meets a fourth feature state and the duration exceeds a fourth preset duration, determining that the satisfaction degree of the user on the recommended content is smaller than the preset degree threshold.
Optionally, the processor 300 is further configured to read the computer program, and perform the following steps:
acquiring an operation behavior record of a user aiming at the recommended content;
and optimizing the meta space search engine by using a machine learning algorithm according to the operation behavior record.
The meta-space device provided by the embodiment of the present invention may execute the above method embodiment, and its implementation principle and technical effects are similar, and this embodiment will not be described herein.
Furthermore, a computer-readable storage medium of an embodiment of the present invention is used for storing a computer program executable by a processor to implement the steps of the content recommendation method of the meta universe as described above.
In the several embodiments provided in the present application, it should be understood that the disclosed methods and apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may be physically included separately, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform part of the steps of the transceiving method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory RAM), a magnetic disk, or an optical disk, etc., which can store program codes.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that various modifications and adaptations can be made without departing from the principles of the present invention, and such modifications and adaptations are intended to be comprehended within the scope of the present invention.
Claims (11)
1. A content recommendation method of a meta-universe, comprising:
acquiring emotion state information when a user logs in meta-universe equipment;
acquiring recommended content according to the emotion state information and the historical search record of the user;
And displaying the recommended content.
2. The method of claim 1, wherein the obtaining emotional state information of the user when logging into the meta-cosmic device comprises:
When a user logs in a meta-universe device, carrying out facial scanning by using the meta-universe device to acquire facial features of the user;
performing a first identity verification using the facial features;
And carrying out emotion analysis on the facial features under the condition that the first identity verification is passed, so as to obtain the emotion state information.
3. The method of claim 2, wherein the acquiring recommended content based on the emotional state information and the historical search record of the user comprises:
Acquiring iris information of a user by using the meta-universe device;
performing second identity verification according to the iris information;
And under the condition that the second identity verification is passed, acquiring recommended content according to the emotion state information and the historical search record of the user.
4. The method of claim 1, wherein the obtaining recommended content based on the emotional state information and the historical search records of the user comprises:
according to the emotion state information and the history search record, N pieces of playing data are screened out from the playing data updated by the meta-universe system in a preset period;
And selecting M pieces of playing data from the N pieces of playing data to serve as the recommended content according to the preference information of the user, wherein N and M are positive integers, and N is more than or equal to M.
5. The method of claim 4, wherein selecting N pieces of play data from the play data updated by the meta-space system during a preset period of time based on the emotional state information and the history search record, comprises:
Determining a location area where the user is located;
and screening N pieces of playing data corresponding to the position area from the playing data updated by the meta-universe system in a preset period according to the emotion state information and the historical search record.
6. The method of claim 1, wherein after the displaying the recommended content, the method further comprises:
acquiring user characteristic data when a user watches the recommended content;
determining the satisfaction degree of the user on the recommended content according to the user characteristic data;
and when the satisfaction degree is smaller than a preset degree threshold, displaying first information, wherein the first information is used for prompting a user to search.
7. The method of claim 6, wherein the user characteristic data comprises at least one of: eyebrow features, eyelid features, eye state;
The determining the satisfaction degree of the user on the recommended content according to the user characteristic data comprises the following steps:
When the user characteristic data meets a first characteristic state and the duration exceeds a first preset duration, determining that the satisfaction degree of the user on the recommended content is greater than or equal to the preset degree threshold; or alternatively
And when the user characteristic data meets a second characteristic state and the duration exceeds a second preset duration, determining that the satisfaction degree of the user on the recommended content is smaller than the preset degree threshold.
8. The method of claim 6, wherein the user characteristic data comprises hand motion characteristics;
The determining the satisfaction degree of the user on the recommended content according to the user characteristic data comprises the following steps:
When the hand action feature meets a third feature state and the duration exceeds a third preset duration, determining that the satisfaction degree of the user on the recommended content is greater than or equal to the preset degree threshold; or alternatively
And when the hand action feature meets a fourth feature state and the duration exceeds a fourth preset duration, determining that the satisfaction degree of the user on the recommended content is smaller than the preset degree threshold.
9. The method of claim 1, wherein after the displaying the recommended content, the method further comprises:
acquiring an operation behavior record of a user aiming at the recommended content;
and optimizing the meta space search engine by using a machine learning algorithm according to the operation behavior record.
10. A meta-cosmic device, comprising: a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor; -characterized in that the processor is arranged to read a program in a memory for implementing the steps in the content recommendation method of the meta-universe according to any one of claims 1 to 9.
11. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps in the content recommendation method of the meta universe according to any one of claims 1 to 9.
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