CN111177452B - Media content recommendation method and device - Google Patents
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
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- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/16—Sound input; Sound output
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Abstract
The invention discloses a media content recommendation method and device. The method comprises the following steps: acquiring movement duration data and current heart rate data of a target object; determining a target heart rate interval in at least two candidate heart rate intervals according to the exercise duration data, wherein the at least two candidate heart rate intervals are set based on exercise intensity, the candidate heart rate intervals are associated with corresponding exercise durations, and each heart rate sub-interval in the candidate heart rate intervals is associated with corresponding candidate media content; determining an ideal heart rate subinterval in the target heart rate interval based on the historical heart rate data of the target object and the current heart rate data; and acquiring candidate media contents associated with the ideal heart rate subinterval, and taking the associated candidate media contents as target media contents to be recommended. And the accuracy of media content recommendation can be improved by integrating the motion duration and the current heart rate to perform target media content.
Description
Technical Field
The present invention relates to the field of internet communications technologies, and in particular, to a media content recommendation method and apparatus.
Background
With the rapid development of internet communication technology, the user popularity of intelligent devices is higher and higher, and the use experience brought by intelligent devices to users is also richer and richer. The user may play media content, such as music, using the smart device during the course of the sport.
In the related art, 1) the music may come from some pre-created song. The song list editor manually selects songs according to his own preferences and manually adds related songs in each of them in the CMS (content management system) background. In this way, songs in the song list are relatively fixed and inconvenient to adjust, and the songs do not necessarily match the motion state of the user. 2) The music may be determined in real time based on user preference tags. Creating a tag (e.g., singer tag, music type tag, etc.) based on songs that the user has heard; then generating a user music preference image through the tag; and recommending songs to the user according to the portrait. However, tags are often created based on the user's listening history, and in particular listening preferences, and accordingly, these songs are not associated with the user's state of motion. Accordingly, there is a need to provide more accurate media content recommendations for users in motion.
Disclosure of Invention
In order to solve the problems of low accuracy and the like when the prior art is applied to media content recommendation for use in a motion state, the invention provides a media content recommendation method and device, which are as follows:
in one aspect, the present invention provides a media content recommendation method, the method comprising:
acquiring movement duration data and current heart rate data of a target object;
determining a target heart rate interval in at least two candidate heart rate intervals according to the exercise duration data, wherein the at least two candidate heart rate intervals are set based on exercise intensity, the candidate heart rate intervals are associated with corresponding exercise durations, and each heart rate sub-interval in the candidate heart rate intervals is associated with corresponding candidate media content;
determining an ideal heart rate subinterval in the target heart rate interval based on the historical heart rate data of the target object and the current heart rate data;
and acquiring candidate media contents associated with the ideal heart rate subinterval, and taking the associated candidate media contents as target media contents to be recommended.
Another aspect provides a media content recommendation apparatus, the apparatus comprising:
parameter acquisition module: the method comprises the steps of acquiring movement duration data and current heart rate data of a target object;
Heart rate interval determination module: the target heart rate interval is determined in at least two candidate heart rate intervals according to the exercise duration data, the at least two candidate heart rate intervals are set based on exercise intensity, the candidate heart rate intervals are associated with corresponding exercise durations, and each heart rate sub-interval in the candidate heart rate intervals is associated with corresponding candidate media content;
heart rate subinterval determination module: the method comprises the steps of determining an ideal heart rate subinterval in the target heart rate interval based on historical heart rate data of the target object and the current heart rate data;
the target media content determination module: the method comprises the steps of acquiring candidate media content associated with the ideal heart rate subinterval, and taking the associated candidate media content as target media content to be recommended.
Further, the heart rate subinterval determining module includes:
an adjustment parameter acquisition unit: for obtaining adjustment parameters, the adjustment parameters being set based on the target heart rate interval;
interval heart rate data extraction unit: the interval heart rate data corresponding to the target heart rate interval are extracted from the historical heart rate data;
Heart rate parameter obtaining unit: the method comprises the steps of obtaining a heart rate fluctuation value and a heart rate reference value based on the interval heart rate data and the current heart rate data;
ideal heart rate subinterval determination unit: and the ideal heart rate subinterval is determined in the target heart rate interval according to the regulating parameter, the heart rate fluctuation value and the heart rate reference value.
Further, the device further includes a candidate heart rate interval setting module, the candidate heart rate interval setting module is configured to set the at least two candidate heart rate intervals based on the exercise intensity, and the candidate heart rate interval setting module includes:
human exercise heart rate interval acquisition unit: for acquiring a human exercise heart rate interval;
motion intensity definition parameter acquisition unit: for obtaining a motion intensity defining parameter comprising at least one of: sex parameters, age parameters, reference exercise type and reference exercise duration;
exercise intensity setting unit: for setting at least two levels of motion intensity based on the motion intensity defining parameter;
candidate heart rate interval extraction unit: for extracting from the human exercise heart rate intervals the at least two candidate heart rate intervals matching the at least two levels of exercise intensity.
Further, the exercise intensity setting unit is configured to: obtaining object information of the target object, wherein the object information comprises at least one of the following: sex information, age information, target movement type and target movement duration; the at least two-stage motion intensity is set based on the motion intensity definition parameter and the object information.
Further, the device further includes an association relationship establishing module, where the association relationship establishing module is configured to establish an association relationship between the at least two candidate heart rate intervals and the plurality of candidate media contents, and the association relationship establishing module includes:
candidate media content acquisition unit: for obtaining the plurality of candidate media content;
and a processing unit: the method comprises the steps of processing each candidate media content to obtain a corresponding audio signal;
frequency information extraction unit: for extracting corresponding frequency information from the corresponding audio signals, respectively;
candidate media content list obtaining unit: the method comprises the steps of obtaining a candidate media content list by arranging a plurality of candidate media contents in a descending order based on a frequency high-low order indicated by the corresponding frequency information;
candidate media content group extraction unit: for extracting from said list of candidate media content at least two candidate media content sets matching said at least two levels of motion strength;
An association relation establishing unit: and the method is used for establishing the association relation between the at least two candidate heart rate intervals and the at least two candidate media content groups based on the at least two-stage exercise intensity.
Further, the association relationship establishing unit is further configured to: segmenting the candidate heart rate intervals into target numbers of heart rate subintervals; splitting a set of candidate media content associated with the candidate heart rate interval into a subset of the target number of candidate media content; and establishing an association relationship between the heart rate subinterval and the candidate media content subgroup based on the positive correlation relationship of heart rate frequency.
Further, the device further comprises a first triggering module, wherein the first triggering module comprises:
a first positioning unit: the method comprises the steps of obtaining a heart rate interval where a target object is currently located and obtaining a current movement duration of the target object corresponding to the heart rate interval where the target object is currently located;
a first parameter acquisition unit: the method comprises the steps of acquiring an exercise duration threshold and an ideal exercise duration corresponding to the current heart rate interval;
a first trigger unit: and triggering the step of acquiring the current heart rate data of the target object when the difference value between the current movement duration and the ideal movement duration is smaller than or equal to the movement duration threshold value.
Further, the device further comprises a second triggering module, and the second triggering module comprises:
a second positioning unit: the method comprises the steps of obtaining media content currently received by the target object and obtaining the current playing time length of the media content currently received by the target object;
a second parameter acquisition unit: the method comprises the steps of obtaining a playing time threshold and an ideal playing time corresponding to the currently received media content;
a second trigger unit: and triggering the step of acquiring the current heart rate data of the target object when the difference value between the current playing time length and the ideal playing time length is smaller than or equal to the playing time length threshold value.
Further, the device further comprises a playing module, wherein the playing module comprises:
play the positioning unit: the method comprises the steps of obtaining media content currently received by the target object and obtaining the current playing time length of the media content currently received by the target object;
a play parameter acquisition unit: the method comprises the steps of acquiring a transition time threshold and an ideal playing time corresponding to the currently received media content;
a first play volume adjusting unit: the method comprises the steps of reducing the playing volume of the currently received media content playing based on a preset dynamic volume reduction value and a volume valley value when the difference value between the current playing time length and the ideal playing time length is smaller than or equal to the transition time length threshold value;
A second play volume adjusting unit: when the playing of the currently received media content is finished, setting the current playing volume of the target media content based on a preset dynamic volume gain value and a volume peak value, and playing the target media content according to the current playing volume;
wherein the volume peak is greater than the volume valley.
Another aspect provides an electronic device comprising a processor and a memory having stored therein at least one instruction or at least one program loaded and executed by the processor to implement a media content recommendation method as described above.
Another aspect provides a computer readable storage medium having stored therein at least one instruction or at least one program loaded and executed by a processor to implement a media content recommendation method as described above.
The media content recommendation method and device provided by the invention have the following technical effects:
according to the method and the device for recommending the media content, the target media content is carried out by integrating the movement duration and the current heart rate, the target media content is more relevant to the current movement state of the user, and the accuracy of media content recommendation can be improved. At least two candidate heart rate intervals are set based on the exercise intensity, so that the determined target heart rate interval can be the current recommended heart rate interval corresponding to the better exercise effect. In consideration of the relevance of the target media content and the ideal heart rate subinterval and the inclusion relation of the ideal heart rate subinterval and the target heart rate interval, the invention can assist the user in better exercise by utilizing the target recommended content, and can overcome the current heart rate fluctuation and guide the user to the target heart rate interval capable of realizing better exercise effect.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an application environment provided by an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a media content recommendation method according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of determining a current heart rate data acquisition opportunity according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of determining a current heart rate data acquisition opportunity according to an embodiment of the present invention;
FIG. 5 is a schematic flow chart of setting the at least two candidate heart rate intervals based on exercise intensity according to an embodiment of the present invention;
FIG. 6 is a schematic flow chart of establishing association between the at least two candidate heart rate intervals and a plurality of candidate media contents according to an embodiment of the present invention;
FIG. 7 is a schematic flow chart of determining an ideal heart rate subinterval in the target heart rate interval based on the historical heart rate data and the current heart rate data of the target subject according to an embodiment of the present invention;
FIG. 8 is a block diagram of a media content recommendation device according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. 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.
It is noted that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of the present invention and in the foregoing figures, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server comprising a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.
Referring to fig. 1, fig. 1 is a schematic diagram of an application environment provided in an embodiment of the present invention, which may include a client 01 and a server 02, where the client and the server are connected through a network. And the client sends the movement duration data and the current heart rate data of the target object to a server, and the server determines target media content to be recommended based on the movement duration data and the current heart rate data. It should be noted that fig. 1 is only an example.
Specifically, the client 01 may include a smart phone, a desktop computer, a tablet computer, a notebook computer, an augmented reality (augmented reality, AR)/Virtual Reality (VR) device, a digital assistant, a smart wearable device, or other types of physical devices, and may also include software running in the physical devices, such as a computer program. The operating system running on the client 01 may include, but is not limited to, android system (Android system), IOS system (mobile operating system developed by apple corporation), linux (an operating system), microsoft Windows (microsoft windows operating system), and the like.
In particular, the server 02 may include a server that operates independently, or a distributed server, or a server cluster that is composed of a plurality of servers. The server 02 may include a network communication unit, a processor, a memory, and the like. The server 02 may provide background services for the clients described above.
In the following, a specific embodiment of a media content recommendation method according to the present invention is described, and fig. 2 is a schematic flow chart of a media content recommendation method according to an embodiment of the present invention, where the method operation steps described in the examples or the flow chart are provided, but more or fewer operation steps may be included based on conventional or non-creative labor. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented in a real system or server product, the methods illustrated in the embodiments or figures may be performed sequentially or in parallel (e.g., in a parallel processor or multithreaded environment). The media content recommendation method provided by the embodiment of the invention can be independently executed by the client, can be independently executed by the server, and can be executed by the interaction between the client and the server. As shown in fig. 2, the method may include:
s201: acquiring movement duration data and current heart rate data of a target object;
in the embodiment of the present invention, the target object may indicate the current login account id of the client (here and below refer to software running in the intelligent terminal, opposite to the server) or the identity of the client. Accordingly, the state data (such as the movement duration data and the current heart rate data) of the target object may characterize the movement state of the registered user using the current login account or the movement state of the guest who is experiencing the service based on the identification of the client. Further, the athletic performance duration data may reflect an athletic performance duration of the registered user or guest (corresponding to a time interval from a starting athletic performance time to a current time), and the current heart rate data may reflect a current heart rate of the registered user or guest.
The current heart rate data of the target object can be collected by a heart rate collection module carried by the intelligent terminal; the heart rate data can also be collected by a heart rate collection device bound with the intelligent terminal and then sent to the intelligent terminal. For example, the intelligent terminal is a smart phone, and the smart phone starts a Bluetooth protocol; the heart rate acquisition equipment is an earphone carrying a heart rate sensor; the smart phone and the earphone are bound based on a Bluetooth protocol, and the earphone sends heart rate data acquired by the heart rate sensor to the smart phone. Therefore, the client and the server can be ensured to effectively acquire the current heart rate data of the target object. In practical applications, a sender (such as a headset carrying a heart rate sensor) may actively send heart rate data to a receiver (such as a smart phone), and the receiver does not change the sending frequency of the heart rate data.
In a specific embodiment, since the media content recommendation method provided by the invention is implemented by referring to the current heart rate, in some scenes, the heart rate is always continuously collected, however, a certain playing time is required for a candidate media content group associated with a certain candidate heart rate interval, and a certain playing time is also required for a single media content. Accordingly, it is necessary to set the timing of determining the target candidate content based on the current heart rate, and accordingly, the timing of acquiring the current heart rate data of the target subject is set:
1) Cross heart rate interval dimension: as shown in fig. 3, the acquiring the current heart rate data of the target object includes:
s301: acquiring a current heart rate interval of the target object and acquiring a current movement duration of the target object corresponding to the current heart rate interval;
s302: acquiring an exercise duration threshold and an ideal exercise duration corresponding to the current heart rate interval;
s303: and triggering the step of acquiring the current heart rate data of the target object when the difference value between the current movement duration and the ideal movement duration is smaller than or equal to the movement duration threshold value.
Because each heart rate interval corresponds to one movement duration, the heart rate interval where the target object is currently located can be regarded as one movement stage, and then the step of acquiring the current heart rate data of the target object is triggered before the movement stage is finished (for example, when the movement stage is finished for 30 seconds), so that the subsequent steps S202-S204 are executed to play the target media content. In this way, the effective playing of the candidate media content group associated with a certain candidate heart rate interval and the candidate media content subgroup associated with a certain heart rate sub-interval can be ensured, and the influence on the exercise effect of the user caused by frequent switching of media content, switching across heart rate sub-intervals or switching across heart rate intervals is reduced.
2) Within the same heart rate interval and across heart rate interval dimensions: as shown in fig. 4, the acquiring the current heart rate data of the target object further includes:
s401: acquiring the currently received media content of the target object, and acquiring the current playing time length of the currently received media content corresponding to the target object;
s402: acquiring a playing time threshold and an ideal playing time corresponding to the currently received media content;
s403: and triggering the step of acquiring the current heart rate data of the target object when the difference value between the current playing time length and the ideal playing time length is smaller than or equal to the playing time length threshold value.
Considering that a certain playing time is required for a single media content, the step of obtaining the current heart rate data of the target object may be triggered before the currently received media content is played back in a fast ending manner (for example, when the media content is played for 30 seconds), so that subsequent steps S202-S204 are performed to play the target media content. Therefore, the playing integrity of single media content can be ensured, and the influence on the exercise effect of the user caused by frequent switching of the media content, switching of the media content across heart rate subintervals or switching of the media content across heart rate intervals is reduced.
S202: determining a target heart rate interval in at least two candidate heart rate intervals according to the exercise duration data, wherein the at least two candidate heart rate intervals are set based on exercise intensity, the candidate heart rate intervals are associated with corresponding exercise durations, and each heart rate sub-interval in the candidate heart rate intervals is associated with corresponding candidate media content;
in the embodiment of the present invention, since the candidate heart rate intervals are associated with corresponding exercise durations, each candidate heart rate interval may be regarded as an exercise stage. The motion duration associated with the candidate heart rate interval a indicates an ideal motion time interval of the motion phase a, and when the motion duration indicated by the motion duration data falls into the ideal motion time interval, it can be determined that the target object is in the motion phase a and corresponds to the candidate heart rate interval a. For example, the second movement stage (corresponding to the 10 th to 20 th minutes from the starting movement time point), when the movement duration indicated by the movement duration data is 15 minutes (corresponding to the user from the starting movement time point to the current time point), then the user is in the second movement stage. And determining a target heart rate interval in at least two candidate heart rate intervals according to the exercise duration data, and obtaining a current recommended heart rate interval which corresponds to the better exercise effect.
The media content may include at least one of: audio content and video content. Wherein the audio content may include music (e.g., vocal, instrumental), speech (e.g., route guidance speech, training guidance speech, etc.).
In a specific embodiment, as shown in fig. 5, the method further comprises setting the at least two candidate heart rate intervals based on the exercise intensity:
s501: acquiring a human exercise heart rate interval;
the maximum value of the human exercise heart rate can be determined by combining the main stream kinematics, and then the maximum value of the human exercise heart rate is taken as the human exercise heart rate interval (65% -85%), so that the obtained human exercise heart rate interval is an ideal interval for correspondingly realizing better exercise effect.
The maximum value of the human exercise heart rate can be obtained by the age and sex of the user: HR (HR) male = (220-age) times/min (for men); HR (HR) female = (226-age) times/min (corresponding to female). For example, user a is a male, his age is 24 years, and his maximum human exercise heart rate is 220-24=198 beats/min.
S502: acquiring exercise intensity defining parameters, wherein the exercise intensity defining parameters comprise at least one of the following: sex parameters, age parameters, reference exercise type and reference exercise duration;
The exercise intensity may refer to the magnitude of exertion and the degree of physical stress during exercise, which are one of the main factors determining exercise load. The different sexes of the user, the different ages of the user, the different types of exercises (such as aerobic exercises and anaerobic exercises) of the user and the different duration (such as 30 minutes and 3 hours) of the exercise of the user all influence the determination of the exercise intensity and the variation trend of the exercise intensity which are adapted to the user.
S503: setting at least two stages of motion intensities based on the motion intensity definition parameter;
these exercise intensity defining parameters may be used as a basis for setting a default at least two-stage exercise intensity. The at least two-stage motion intensity may include a first-stage motion intensity (corresponding to a warming motion), a second-stage motion intensity (corresponding to a low-intensity motion, a relaxing motion), a third-stage motion intensity (corresponding to a medium-intensity motion), and a fourth-stage motion intensity (corresponding to a high-intensity motion). The trend of the at least two-stage motion intensity may be that the intensity is increased and then decreased. Of course, the setting of the at least two-stage exercise intensity and the trend of the change thereof is not limited to the above.
Specifically, object information of the target object may be acquired, where the object information includes at least one of the following: sex information, age information, target movement type and target movement duration; the at least two-stage motion intensity is set based on the motion intensity definition parameter and the object information. In combination with basic information (such as gender information and age information) and preference information (such as target movement type and target movement duration) of the user, at least two-stage movement intensity and variation trend thereof which more meet the movement requirement of the user are set under the condition that the default at least two-stage movement intensity is set as the spam. In practical application, the object information of the target object can be input by a user based on a user interaction interface of the client.
S504: the at least two candidate heart rate intervals matching the at least two levels of exercise intensity are extracted from the human exercise heart rate intervals.
Based on the at least two-stage exercise intensity set as described above, the at least two candidate heart rate intervals matching the at least two-stage exercise intensity are extracted from the human exercise heart rate intervals. Each of the candidate heart rate intervals may be considered as a motion phase, such that the extraction of the human motion heart rate intervals may be: stage of warm-up exercise (corresponding to first stage exercise intensity): (50% -60%) maximum human exercise heart rate; low intensity motion, relaxed (relaxed) motion phase (corresponding to second stage motion intensity): (60% -70%) maximum human exercise heart rate; medium intensity motion phase (corresponding to third level motion intensity): (70% -80%) maximum human exercise heart rate; high intensity motion phase (corresponding to fourth stage motion intensity): (80% -90%) maximum value of human exercise heart rate. Of course, the at least two-stage exercise intensity may further include a fifth-stage exercise intensity corresponding to an anaerobic alert heart rate interval (90% -100%) of a maximum human exercise heart rate.
Further, for a certain exercise process, a corresponding exercise duration, such as 15 minutes, may be configured for each exercise phase. Of course, the movement time period may also be set by the user for each movement phase.
In practical applications, for a certain exercise session, 1) the at least two-stage exercise intensity and the corresponding heart rate interval may be both set based on the user's selection; 2) The at least two-stage exercise intensity may be set based on a selection of a user, and a correspondence between the at least two-stage exercise intensity and a corresponding heart rate interval is preconfigured, so as to complete setting of the corresponding heart rate interval.
In another specific embodiment, it is considered that the rhythm of the played media content affects the movement rhythm of the user, and the movement rhythm of the user is a main factor affecting the real-time heart rate of the user. In order to achieve better exercise effect, the association relation between the at least two candidate heart rate intervals and the plurality of candidate media contents is established. As shown in fig. 6, the method further includes establishing association between the at least two candidate heart rate intervals and a plurality of candidate media contents:
s601: acquiring the plurality of candidate media contents;
songs as media content may be collected from existing music libraries, songs tickets.
S602: processing each candidate media content to obtain a corresponding audio signal;
accordingly, the song is converted into an audio signal, i.e., PCM (Pulse Code Modulation, pulse code modulated) data.
S603: extracting corresponding frequency information from the corresponding audio signals respectively;
the frequency information in the audio signal may be obtained by a fast fourier transform.
S604: based on the frequency high-low order indicated by the corresponding frequency information, the plurality of candidate media contents are arranged in a descending order to obtain a candidate media content list;
a corresponding reference frequency may be set for each song by comparing the frequency distribution of the different songs. The reference frequency may characterize the tempo of the song to some extent, and the songs are ordered based on how frequently they are high or low (tempo speed).
S605: extracting at least two candidate media content groups matched with the at least two-stage motion strength from the candidate media content list;
correspondingly, a candidate media content group is set for each level of motion intensity, and the candidate media content in the candidate media content group is configured with a corresponding motion intensity label.
S606: and establishing an association relationship between the at least two candidate heart rate intervals and the at least two candidate media content groups based on the at least two-stage exercise intensity.
Since the at least two candidate media content sets are set based on the motion strength, one candidate media content set is set for each candidate heart rate interval in the dimension of the candidate heart rate interval.
Further, the dimensions of each heart rate subinterval in the candidate heart rate interval: the candidate heart rate intervals can be segmented into a target number of heart rate subintervals; then segmenting the candidate media content group associated with the candidate heart rate interval into the target number of candidate media content subgroups; and establishing an association relationship between the heart rate subinterval and the candidate media content subgroup based on the positive correlation relationship of the heart rate frequency. In this way, a finer granularity of the association of the heart rate subintervals with the subset of candidate media content may be established to guide the user to achieve a more scientific exercise.
In addition, for the corresponding candidate media content groups of different candidate heart rate intervals, the corresponding candidate media content groups may be stored in the blockchain node based on the association relationship established above. Blockchains are novel application modes of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanisms, encryption algorithms, and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, and an application services layer. The blockchain underlying platform may include processing modules for user management, basic services, smart contracts, operation monitoring, and the like. The user management module is responsible for identity information management of all blockchain participants, including maintenance of public and private key generation (account management), key management, maintenance of corresponding relation between the real identity of the user and the blockchain address (authority management) and the like, and under the condition of authorization, supervision and audit of transaction conditions of certain real identities, and provision of rule configuration (wind control audit) of risk control; the basic service module is deployed on all block chain node devices, is used for verifying the validity of a service request, recording the service request on a storage after the effective request is identified, for a new service request, the basic service firstly analyzes interface adaptation and authenticates the interface adaptation, encrypts service information (identification management) through an identification algorithm, and transmits the encrypted service information to a shared account book (network communication) in a complete and consistent manner, and records and stores the service information; the intelligent contract module is responsible for registering and issuing contracts, triggering contracts and executing contracts, a developer can define contract logic through a certain programming language, issue the contract logic to a blockchain (contract registering), invoke keys or other event triggering execution according to the logic of contract clauses to complete the contract logic, and simultaneously provide a function of registering contract upgrading; the operation monitoring module is mainly responsible for deployment in the product release process, modification of configuration, contract setting, cloud adaptation and visual output of real-time states in product operation, for example: alarms, monitoring network conditions, monitoring node device health status, etc.
Wherein the corresponding candidate media content set may be written to the smart contract based on the candidate heart rate interval-the dimension of the corresponding candidate media content set. The content triggering the automatic switching of the corresponding candidate media content group based on the switching of the target heart rate interval (such as the switching from the candidate heart rate interval a to the candidate heart rate interval B) may be contracted in the smart contract.
S203: determining an ideal heart rate subinterval in the target heart rate interval based on the historical heart rate data of the target object and the current heart rate data;
in the embodiment of the invention, the target heart rate interval is determined by the exercise duration data, and the heart rate of the user may fluctuate in the exercise process, and the current heart rate may not fall into the target heart rate interval, so as to guide the user to realize a better exercise effect, an ideal heart rate sub-interval can be determined in the target heart rate interval by combining the historical heart rate data, and further, the candidate media content associated with the ideal heart rate sub-interval guides the real-time heart rate of the user to the recommended range.
In a specific embodiment, as shown in fig. 7, the determining, based on the historical heart rate data of the target subject and the current heart rate data, an ideal heart rate sub-interval in the target heart rate interval includes:
S701: acquiring adjustment parameters, the adjustment parameters being set based on the target heart rate interval;
such as HR max It may characterize the heart rate maximum of the target heart rate interval; HR (HR) r It may characterize the heart rate median of the target heart rate interval. Of course, the adjustment parameters may also includeIt may be used as a constant value without being limited to a specific target heart rate interval.
S702: extracting interval heart rate data corresponding to the target heart rate interval from the historical heart rate data;
such as the course of motion corresponding to user B: the total time of exercise was 60 minutes, and the course of exercise included a first phase (warm-up before exercise, 10 minutes), a second phase, and a third phase (recovery after exercise, 10 minutes). For example, the exercise duration indicated by the exercise duration data is 20 minutes, then the current time point indicates that the user is in the second stage, and then the heart rate data corresponding from the starting time point of the second stage (from the beginning of the 11 th minute) to the time point before the current time point (20 th minute) is extracted from the historical heart rate data.
S703: obtaining a heart rate fluctuation value and a heart rate reference value based on the interval heart rate data and the current heart rate data;
heart rate fluctuation value s 2 The heart rate variance of the dataset of interval heart rate data and current heart rate data may be mapped. Heart rate reference value HR real A heart rate average value of a dataset constituted by the interval heart rate data and the current heart rate data may be corresponded.
S704: and determining the ideal heart rate subinterval in the target heart rate interval according to the regulating parameter, the heart rate fluctuation value and the heart rate reference value.
The position of the ideal heart rate subinterval in the target heart rate interval can be determined by the following formula, and the ideal heart rate subinterval is further obtained:
the ideal heart rate subinterval is obtained by weighting the current heart rate and the target heart rate interval. When the current heart rate is too high, the candidate media content associated with the ideal heart rate subinterval corresponds to songs with slower rhythms, and the soothing music can help a user to slow down the exercise rhythm, promote the reduction of the exercise intensity and adjust the heart rate to a proper interval, so that dangers caused by too high heart rate are avoided. When the current heart rate is too low, the candidate media content associated with the ideal heart rate subinterval corresponds to a song with a faster rhythm, and the rapid music can help the user to accelerate the exercise rhythm, promote the improvement of the exercise intensity and adjust the heart rate to a proper interval.
The media content recommendation method provided by the invention can be used for recommending the sports music more accurately for the user. By combining the determination of the current heart rate data acquisition time (corresponding to steps S301-S303 and steps S401-S403), timely (voice) guidance can be provided for the user at key moments of each stage of the exercise process, more specialized exercise service can be provided for the user, and the exercise efficiency of the user is improved.
S204: and acquiring candidate media contents associated with the ideal heart rate subinterval, and taking the associated candidate media contents as target media contents to be recommended.
In the embodiment of the invention, the target media content can be played by a sound generating module (such as a loudspeaker) of the intelligent terminal operated by the client; the target media content may also be played by a sound emitting device (e.g., a bluetooth headset) that establishes a communication protocol (e.g., bluetooth protocol) with the smart terminal, where the smart terminal is required to send the target media content to the sound emitting device.
In a specific embodiment, the serving the associated candidate media content as the target media content to be recommended includes: 1) Acquiring the currently received media content of the target object, and acquiring the current playing time length of the currently received media content corresponding to the target object; 2) Acquiring a transition time threshold and an ideal playing time corresponding to the currently received media content; 3) When the difference value between the current playing time length and the ideal playing time length is smaller than or equal to the transition time length threshold value, the playing volume of the currently received media content playing is reduced based on a preset dynamic volume reduction value and a volume valley value; 4) When the playing of the currently received media content is finished, setting the current playing volume of the target media content based on a preset dynamic volume gain value and a volume peak value, and playing the target media content according to the current playing volume; wherein the volume peak is greater than the volume valley.
When the played media content is switched, especially when the switching node corresponding to the motion intensity is switched, if the previous song is not played, the song can be played until the previous song is stopped in a form of decreasing the volume, the next song is introduced in a form of increasing the volume, and the natural transition among songs is realized in a mode of decreasing the volume, so that the influence on the motion rhythm and heart rate of a user due to the overlarge change of the music rhythm is avoided.
As can be seen from the technical solutions provided in the embodiments of the present disclosure, a target heart rate interval is determined according to movement duration data of a target object, and then an ideal heart rate sub-interval is determined in the target heart rate interval based on current heart rate data and historical heart rate data of the target object. Each heart rate subinterval is associated with corresponding candidate media content, and further the candidate media content associated with the ideal heart rate subinterval is obtained to serve as target media content to be recommended. According to the embodiment of the specification, the target media content is carried out by integrating the movement duration and the current heart rate, and has a higher relevance with the current movement state of the user, so that the accuracy of media content recommendation can be improved. At least two candidate heart rate intervals are set based on the exercise intensity, so that the determined target heart rate interval can be the current recommended heart rate interval corresponding to the better exercise effect. In consideration of the relevance of the target media content and the ideal heart rate subinterval and the inclusion relation of the ideal heart rate subinterval and the target heart rate interval, the embodiment of the specification can assist a user in better exercise by utilizing the target recommended content, and can overcome the current heart rate fluctuation to guide the user to the target heart rate interval capable of achieving better exercise effect.
The embodiment of the invention also provides a media content recommendation device, as shown in fig. 8, which comprises:
parameter acquisition module 810: the method comprises the steps of acquiring movement duration data and current heart rate data of a target object;
heart rate interval determination module 820: the target heart rate interval is determined in at least two candidate heart rate intervals according to the exercise duration data, the at least two candidate heart rate intervals are set based on exercise intensity, the candidate heart rate intervals are associated with corresponding exercise durations, and each heart rate sub-interval in the candidate heart rate intervals is associated with corresponding candidate media content;
heart rate subinterval determination module 830: the method comprises the steps of determining an ideal heart rate subinterval in the target heart rate interval based on historical heart rate data of the target object and the current heart rate data;
the target media content determination module 840: the method comprises the steps of acquiring candidate media content associated with the ideal heart rate subinterval, and taking the associated candidate media content as target media content to be recommended.
It should be noted that the apparatus and method embodiments in the apparatus embodiments are based on the same inventive concept.
The embodiment of the invention provides an electronic device, which comprises a processor and a memory, wherein at least one instruction or at least one section of program is stored in the memory, and the at least one instruction or the at least one section of program is loaded and executed by the processor to realize the media content recommendation method provided by the embodiment of the method.
Further, fig. 9 shows a schematic hardware structure of an electronic device for implementing the media content recommendation method provided by the embodiment of the present invention, where the electronic device may participate in forming or including the media content recommendation apparatus provided by the embodiment of the present invention. As shown in fig. 9, the electronic device 90 may include one or more processors 902 (shown in the figures as 902a, 902b, … …,902 n) (the processor 902 may include, but is not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA), a memory 904 for storing data, and a transmission device 906 for communication functions. In addition, the method may further include: a display, an input/output interface (I/O interface), a Universal Serial Bus (USB) port (which may be included as one of the ports of the I/O interface), a network interface, a power supply, and/or a camera. It will be appreciated by those skilled in the art that the configuration shown in fig. 9 is merely illustrative and is not intended to limit the configuration of the electronic device. For example, the electronic device 90 may also include more or fewer components than shown in FIG. 9, or have a different configuration than shown in FIG. 9.
It should be noted that the one or more processors 902 and/or other data processing circuitry described above may be referred to herein generally as "data processing circuitry. The data processing circuit may be embodied in whole or in part in software, hardware, firmware, or any other combination. Further, the data processing circuitry may be a single stand-alone processing module, or incorporated, in whole or in part, into any of the other elements in the electronic device 90 (or mobile device). As referred to in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of the path of the variable resistor termination to interface).
The memory 904 may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the methods described in the embodiments of the present invention, and the processor 902 executes the software programs and modules stored in the memory 94 to perform various functional applications and data processing, i.e., implement a media content recommendation method as described above. The memory 904 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 904 may further include memory remotely located relative to the processor 902, which may be connected to the electronic device 90 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission means 906 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communications provider of the electronic device 90. In one example, the transmission means 906 includes a network adapter (NetworkInterfaceController, NIC) that can be connected to other network devices through a base station to communicate with the internet. In one embodiment, the transmission device 906 may be a radio frequency (RadioFrequency, RF) module for communicating wirelessly with the internet.
The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with a user interface of the electronic device 90 (or mobile device).
Embodiments of the present invention also provide a storage medium that may be provided in an electronic device to store at least one instruction or at least one program related to implementing a media content recommendation method in a method embodiment, where the at least one instruction or the at least one program is loaded and executed by the processor to implement the media content recommendation method provided in the method embodiment.
Alternatively, in this embodiment, the storage medium may be located in at least one network server among a plurality of network servers of the computer network. Alternatively, in the present embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It should be noted that: the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for the apparatus and electronic device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and references to the parts of the description of the method embodiments are only required.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (16)
1. A method of media content recommendation, the method comprising:
acquiring movement duration data and current heart rate data of a target object;
Determining a target heart rate interval in at least two candidate heart rate intervals according to the exercise duration data, wherein the at least two candidate heart rate intervals are set based on exercise intensity, the candidate heart rate intervals are associated with corresponding exercise durations, and each heart rate sub-interval in the candidate heart rate intervals is associated with corresponding candidate media content;
determining an ideal heart rate subinterval in the target heart rate interval based on the historical heart rate data of the target object and the current heart rate data;
acquiring candidate media content associated with the ideal heart rate subinterval, and taking the associated candidate media content as target media content to be recommended;
wherein the method further comprises setting the at least two candidate heart rate intervals based on the exercise intensity: acquiring a human exercise heart rate interval; acquiring exercise intensity defining parameters, wherein the exercise intensity defining parameters comprise at least one of the following: sex parameters, age parameters, reference exercise type and reference exercise duration; setting at least two stages of motion intensities based on the motion intensity definition parameter; extracting the at least two candidate heart rate intervals matched with the at least two-stage exercise intensity from the human exercise heart rate intervals;
The setting of at least two-stage motion intensity based on the motion intensity definition parameter comprises: obtaining object information of the target object, wherein the object information comprises at least one of the following: sex information, age information, target movement type and target movement duration; the at least two-stage motion intensity is set based on the motion intensity definition parameter and the object information.
2. The method of claim 1, wherein the determining an ideal heart rate subinterval in the target heart rate interval based on the historical heart rate data and the current heart rate data of the target subject comprises:
acquiring adjustment parameters, the adjustment parameters being set based on the target heart rate interval;
extracting interval heart rate data corresponding to the target heart rate interval from the historical heart rate data;
obtaining a heart rate fluctuation value and a heart rate reference value based on the interval heart rate data and the current heart rate data;
and determining the ideal heart rate subinterval in the target heart rate interval according to the regulating parameter, the heart rate fluctuation value and the heart rate reference value.
3. The method of claim 1, further comprising establishing an association of the at least two candidate heart rate intervals with a plurality of candidate media content:
Acquiring the plurality of candidate media contents;
processing each candidate media content to obtain a corresponding audio signal;
extracting corresponding frequency information from the corresponding audio signals respectively;
based on the frequency high-low order indicated by the corresponding frequency information, the plurality of candidate media contents are arranged in a descending order to obtain a candidate media content list;
extracting at least two candidate media content groups matched with the at least two-stage motion strength from the candidate media content list;
and establishing an association relationship between the at least two candidate heart rate intervals and the at least two candidate media content groups based on the at least two-stage exercise intensity.
4. A method according to claim 3, wherein the establishing an association of the at least two candidate heart rate intervals with the at least two candidate media content groups based on the at least two levels of motion intensity, then comprises:
segmenting the candidate heart rate intervals into target numbers of heart rate subintervals;
splitting a set of candidate media content associated with the candidate heart rate interval into a subset of the target number of candidate media content;
and establishing an association relationship between the heart rate subinterval and the candidate media content subgroup based on the positive correlation relationship of heart rate frequency.
5. The method of claim 1, wherein the acquiring current heart rate data of the target subject has previously included:
acquiring a current heart rate interval of the target object and acquiring a current movement duration of the target object corresponding to the current heart rate interval;
acquiring an exercise duration threshold and an ideal exercise duration corresponding to the current heart rate interval;
and triggering the step of acquiring the current heart rate data of the target object when the difference value between the current movement duration and the ideal movement duration is smaller than or equal to the movement duration threshold value.
6. The method of claim 1, wherein the acquiring current heart rate data of the target subject further comprises:
acquiring the currently received media content of the target object, and acquiring the current playing time length of the currently received media content corresponding to the target object;
acquiring a playing time threshold and an ideal playing time corresponding to the currently received media content;
and triggering the step of acquiring the current heart rate data of the target object when the difference value between the current playing time length and the ideal playing time length is smaller than or equal to the playing time length threshold value.
7. The method of claim 1, wherein the regarding the associated candidate media content as the target media content to be recommended, then comprises:
acquiring the currently received media content of the target object, and acquiring the current playing time length of the currently received media content corresponding to the target object;
acquiring a transition time threshold and an ideal playing time corresponding to the currently received media content;
when the difference value between the current playing time length and the ideal playing time length is smaller than or equal to the transition time length threshold value, the playing volume of the currently received media content playing is reduced based on a preset dynamic volume reduction value and a volume valley value;
when the playing of the currently received media content is finished, setting the current playing volume of the target media content based on a preset dynamic volume gain value and a volume peak value, and playing the target media content according to the current playing volume;
wherein the volume peak is greater than the volume valley.
8. A media content recommendation device, the device comprising:
parameter acquisition module: the method comprises the steps of acquiring movement duration data and current heart rate data of a target object;
Heart rate interval determination module: the target heart rate interval is determined in at least two candidate heart rate intervals according to the exercise duration data, the at least two candidate heart rate intervals are set based on exercise intensity, the candidate heart rate intervals are associated with corresponding exercise durations, and each heart rate sub-interval in the candidate heart rate intervals is associated with corresponding candidate media content;
heart rate subinterval determination module: the method comprises the steps of determining an ideal heart rate subinterval in the target heart rate interval based on historical heart rate data of the target object and the current heart rate data;
the target media content determination module: the method comprises the steps of obtaining candidate media content associated with the ideal heart rate subinterval, and taking the associated candidate media content as target media content to be recommended;
the device further comprises a candidate heart rate interval setting module, wherein the candidate heart rate interval setting module is used for setting the at least two candidate heart rate intervals based on the exercise intensity, and the candidate heart rate interval setting module is used for: for acquiring a human exercise heart rate interval; acquiring exercise intensity defining parameters, wherein the exercise intensity defining parameters comprise at least one of the following: sex parameters, age parameters, reference exercise type and reference exercise duration; setting at least two stages of motion intensities based on the motion intensity definition parameter; extracting the at least two candidate heart rate intervals matched with the at least two-stage exercise intensity from the human exercise heart rate intervals;
The setting of at least two-stage motion intensity based on the motion intensity definition parameter comprises: obtaining object information of the target object, wherein the object information comprises at least one of the following: sex information, age information, target movement type and target movement duration; the at least two-stage motion intensity is set based on the motion intensity definition parameter and the object information.
9. The apparatus of claim 8, wherein the heart rate subinterval determination module: for obtaining adjustment parameters, the adjustment parameters being set based on the target heart rate interval; extracting interval heart rate data corresponding to the target heart rate interval from the historical heart rate data; obtaining a heart rate fluctuation value and a heart rate reference value based on the interval heart rate data and the current heart rate data; and determining the ideal heart rate subinterval in the target heart rate interval according to the regulating parameter, the heart rate fluctuation value and the heart rate reference value.
10. The apparatus of claim 8, further comprising an association establishment module for establishing an association of the at least two candidate heart rate intervals with a plurality of candidate media content, the association establishment module: for obtaining the plurality of candidate media content; processing each candidate media content to obtain a corresponding audio signal; extracting corresponding frequency information from the corresponding audio signals respectively; based on the frequency high-low order indicated by the corresponding frequency information, the plurality of candidate media contents are arranged in a descending order to obtain a candidate media content list; extracting at least two candidate media content groups matched with the at least two-stage motion strength from the candidate media content list; and establishing an association relationship between the at least two candidate heart rate intervals and the at least two candidate media content groups based on the at least two-stage exercise intensity.
11. The apparatus of claim 10, wherein the establishing an association of the at least two candidate heart rate intervals with the at least two candidate media content groups based on the at least two levels of motion intensity, then comprises: segmenting the candidate heart rate intervals into target numbers of heart rate subintervals; splitting a set of candidate media content associated with the candidate heart rate interval into a subset of the target number of candidate media content; and establishing an association relationship between the heart rate subinterval and the candidate media content subgroup based on the positive correlation relationship of heart rate frequency.
12. The apparatus of claim 8, further comprising a first trigger module that: the method comprises the steps of obtaining a heart rate interval where a target object is currently located and obtaining a current movement duration of the target object corresponding to the heart rate interval where the target object is currently located; acquiring an exercise duration threshold and an ideal exercise duration corresponding to the current heart rate interval; and triggering the step of acquiring the current heart rate data of the target object when the difference value between the current movement duration and the ideal movement duration is smaller than or equal to the movement duration threshold value.
13. The apparatus of claim 8, further comprising a second trigger module that: the method comprises the steps of obtaining media content currently received by the target object and obtaining the current playing time length of the media content currently received by the target object; acquiring a playing time threshold and an ideal playing time corresponding to the currently received media content; and triggering the step of acquiring the current heart rate data of the target object when the difference value between the current playing time length and the ideal playing time length is smaller than or equal to the playing time length threshold value.
14. The apparatus of claim 8, further comprising a play volume control module, the play volume control module: the method comprises the steps of obtaining media content currently received by the target object and obtaining the current playing time length of the media content currently received by the target object; acquiring a transition time threshold and an ideal playing time corresponding to the currently received media content; when the difference value between the current playing time length and the ideal playing time length is smaller than or equal to the transition time length threshold value, the playing volume of the currently received media content playing is reduced based on a preset dynamic volume reduction value and a volume valley value; when the playing of the currently received media content is finished, setting the current playing volume of the target media content based on a preset dynamic volume gain value and a volume peak value, and playing the target media content according to the current playing volume; wherein the volume peak is greater than the volume valley.
15. An electronic device comprising a processor and a memory having stored therein at least one instruction or at least one program loaded and executed by the processor to implement the media content recommendation method of any of claims 1-7.
16. A computer readable storage medium having stored therein at least one instruction or at least one program, the at least one instruction or the at least one program loaded and executed by a processor to implement the media content recommendation method of any one of claims 1-7.
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| CN113536027A (en) * | 2021-07-27 | 2021-10-22 | 咪咕音乐有限公司 | Music recommendation method, device, equipment and computer readable storage medium |
| CN113813586B (en) * | 2021-10-19 | 2022-07-08 | 成都拟合未来科技有限公司 | Fitness display information adjusting method and system based on biological information acquisition |
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