CN111177452A - Media content recommendation method and device - Google Patents
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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 subinterval 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 and the current heart rate data of the target object; and 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. The target media content is carried out by integrating the exercise duration and the current heart rate, so that the accuracy of recommending the media content can be improved.
Description
Technical Field
The invention relates to the technical field of internet communication, in particular to a media content recommendation method and device.
Background
Along with the rapid development of the internet communication technology, the user popularity of the intelligent device is higher and higher, and the use experience brought by the intelligent device for the user is 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) these pieces of music may come from some previously created song list. The menu editor manually selects songs according to his preferences and manually adds related songs by each in the CMS (content management system) background. Thus, the songs in the menu are relatively fixed and inconvenient to adjust, and the songs do not necessarily fit with the motion state of the user. 2) The music may be determined in real time based on the user preference tags. Creating tags (e.g., singer tags, music type tags, etc.) based on songs that the user has listened to; then generating a user music preference image through the label; and recommending songs to the user according to the portrait. However, tags are often created based on the user's history of listening to songs, and in particular listening to song preferences, which in turn are not associated with the user's motion state. Therefore, there is a need to provide more accurate media content recommendation schemes 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 recommending media contents for use in a motion state, the invention provides a media content recommending method and a device, wherein the method comprises the following steps:
in one aspect, the present invention provides a method for recommending media contents, 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 subinterval 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 and the current heart rate data of the target object;
and 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.
Another aspect provides a media content recommendation apparatus, the apparatus comprising:
a parameter acquisition module: the device comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring movement duration data and current heart rate data of a target object;
a heart rate interval determination module: the device comprises a target heart rate interval, a target heart rate interval and at least two candidate heart rate intervals, wherein the target heart rate interval is determined in the 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 subinterval in the candidate heart rate intervals is associated with corresponding candidate media content;
a heart rate sub-interval determination module: determining an ideal heart rate sub-interval in the target heart rate interval based on the historical heart rate data and the current heart rate data of the target object;
a target media content determination module: the method comprises the steps of obtaining candidate media content associated with the ideal heart rate subinterval, and using 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 an adjustment parameter, the adjustment parameter being set based on the target heart rate interval;
interval heart rate data extraction unit: the device is used for extracting interval heart rate data corresponding to the target heart rate interval from the historical heart rate data;
a heart rate parameter obtaining unit: the heart rate fluctuation value and the heart rate reference value are obtained based on the interval heart rate data and the current heart rate data;
an ideal heart rate subinterval determination unit: and the ideal heart rate subinterval is determined in the target heart rate interval according to the adjusting parameter, the heart rate fluctuation value and the heart rate reference value.
Further, the apparatus 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 obtaining a human exercise heart rate interval;
the exercise intensity defines the parameter acquisition unit: for obtaining a motion intensity defining parameter, the motion intensity defining parameter comprising at least one of: a gender parameter, an age parameter, a reference movement type and a reference movement duration;
exercise intensity setting unit: for setting at least two levels of exercise intensity based on the exercise intensity defining parameter;
candidate heart rate interval extraction unit: for extracting the at least two candidate heart rate intervals matching the at least two levels of motion intensity from the human motion heart rate interval.
Further, the exercise intensity setting unit is configured to: acquiring object information of the target object, wherein the object information comprises at least one of the following: gender information, age information, a target motion type and a target motion duration; setting the at least two levels of exercise intensity based on the exercise intensity defining parameter and the object information.
Further, the apparatus 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 a plurality of candidate media contents, and the association relationship establishing module includes:
the candidate media content acquiring unit: for obtaining the plurality of candidate media content;
a processing unit: the audio processing device is used for processing each candidate media content to obtain a corresponding audio signal;
a frequency information extraction unit: extracting corresponding frequency information from the corresponding audio signals respectively;
a candidate media content list obtaining unit: the candidate media content list is obtained by arranging the candidate media contents in descending order based on the frequency order indicated by the corresponding frequency information;
candidate media content group extraction unit: the device is used for extracting at least two candidate media content groups matched with the at least two-stage motion intensity from the candidate media content list;
an association relationship establishing unit: for 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.
Further, the association relationship establishing unit is further configured to: segmenting the candidate heart rate intervals into a target number of the heart rate subintervals; segment the set of candidate media content associated with the candidate heart rate interval into the target number of subsets of candidate media content; and establishing the association relationship between the heart rate subinterval and the candidate media content subgroup based on the positive correlation relationship of the heart rate frequency.
Further, the apparatus further includes a first triggering module, where the first triggering module includes:
a first positioning unit: the device is used for acquiring a heart rate interval where the target object is located currently and acquiring the current movement duration of the heart rate interval where the target object is located currently;
a first parameter acquisition unit: the heart rate detection device is used for acquiring a motion duration threshold and an ideal motion duration corresponding to the current heart rate interval;
a first trigger unit: and the step of acquiring the current heart rate data of the target object is triggered when the difference value between the current movement time length and the ideal movement time length is less than or equal to the movement time length threshold value.
Further, the apparatus further includes a second triggering module, where the second triggering module includes:
a second positioning unit: the system comprises a target object, a storage unit and a display unit, wherein the target object is used for acquiring media content currently received by the target object and acquiring the current playing time length of the media content currently received by the target object corresponding to 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 less than or equal to the playing time length threshold value.
Further, the apparatus further includes a playing module, and the playing module includes:
a play positioning unit: the system comprises a target object, a storage unit and a display unit, wherein the target object is used for acquiring media content currently received by the target object and acquiring the current playing time length of the media content currently received by the target object corresponding to the target object;
a play parameter acquisition unit: the method comprises the steps of obtaining a transition duration threshold and an ideal playing duration corresponding to the currently received media content;
a first playback volume adjustment unit: when the difference between the current playing time length and the ideal playing time length is less than or equal to the transition time length threshold, reducing the playing volume of the currently received media content playing based on a preset dynamic volume reduction value and a volume valley value;
a second playback volume adjustment unit: the volume control module is used for setting the current playing volume of the target media content based on a preset dynamic volume gain value and a volume peak value when the playing of the currently received media content is finished, 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, which includes a processor and a memory, where at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded by the processor and executed to implement the media content recommendation method as described above.
Another aspect provides a computer-readable storage medium, in which at least one instruction or at least one program is stored, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the media content recommendation method as described above.
The media content recommendation method and the device provided by the invention have the following technical effects:
according to the invention, the target media content is carried out by integrating the exercise duration and the current heart rate, the target media content is more relevant to the current exercise state of the user, and the accuracy of recommending the media content can be improved. At least two candidate heart rate intervals are set based on exercise intensity, and the determined target heart rate interval can be a current recommended heart rate interval corresponding to better exercise effect. In consideration of the relevance between the target media content and the ideal heart rate subinterval and the inclusion relation between the ideal heart rate subinterval and the target heart rate interval, the target recommendation content is utilized to assist the user in better exercise, and the current heart rate fluctuation can be overcome to guide the user to the target heart rate interval capable of achieving better exercise effect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic diagram of an application environment provided by an embodiment of the invention;
FIG. 2 is a flowchart illustrating a method for recommending media contents according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of determining a current heart rate data acquisition timing according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of determining a current heart rate data acquisition timing 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 illustrating a process of establishing an association relationship 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 flowchart of determining an ideal heart rate sub-interval in the target heart rate interval based on the historical heart rate data and the current heart rate data of the target object according to the embodiment of the present invention;
FIG. 8 is a block diagram of a media content recommender 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 technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of the present invention and the above-described drawings, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not 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 according to 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. The client side sends the movement duration data and the current heart rate data of the target object to the server, and the server determines the 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 physical device of a type such as a smart phone, a desktop computer, a tablet computer, a notebook computer, an Augmented Reality (AR)/Virtual Reality (VR) device, a digital assistant, a smart wearable device, and the like, and may also include software running in the physical device, such as a computer program. The operating system running on the client 01 may include, but is not limited to, an Android system (Android system), an IOS system (which is a mobile operating system developed by apple inc.), linux (an operating system), Microsoft Windows (Microsoft Windows operating system), and the like.
Specifically, the server 02 may include a server operating independently, or a distributed server, or a server cluster composed of a plurality of servers. The server 02 may comprise a network communication unit, a processor and a memory, etc. The server 02 may provide background services for the clients.
The following describes a specific embodiment of a media content recommendation method according to the present invention, and fig. 2 is a flowchart of a media content recommendation method according to an embodiment of the present invention, and the present specification provides the method operation steps as described in the embodiment or the flowchart, but may include more or less operation steps based on conventional or non-creative labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. In practice, the system or server product may be implemented in a sequential or parallel manner (e.g., parallel processor or multi-threaded environment) according to the embodiments or methods shown in the figures. 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 also be executed by the interaction between the client and the server. Specifically, as shown in fig. 2, the method may include:
s201: acquiring movement duration data and current heart rate data of a target object;
in an embodiment of the present invention, the target object may indicate a current login account of a client (here and below, software running in an intelligent terminal, as opposed to a server) or an identifier of the client. Accordingly, the state data of the target object (such as exercise duration data and current heart rate data) may characterize the exercise state of a registered user using the current login account or the exercise state of a guest performing a service experience based on the identification of the client. Further, the exercise duration data may reflect exercise durations of the registered users or the visitors (corresponding to a time interval from the exercise starting time point to the current time point), and the current heart rate data may reflect current heart rates of the registered users or the visitors.
The current heart rate data of the target object can be acquired by a heart rate acquisition module carried by the intelligent terminal; the heart rate data can be acquired by the heart rate acquisition equipment bound with the intelligent terminal and then sent to the intelligent terminal. For example, the smart terminal is a smart phone, and the smart phone starts a bluetooth protocol; the heart rate acquisition equipment is an earphone with a heart rate sensor; the smart phone is bound with the earphone 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 effectively acquire the current heart rate data of the target object. In practical application, a sender (such as an earphone carrying a heart rate sensor) can 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 present invention relates to the current heart rate when being executed, and the collection of the heart rate is often continuous in some scenarios, 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. Therefore, it is necessary to set the timing for determining the target candidate content based on the current heart rate, and accordingly, the timing for acquiring the current heart rate data of the target object:
1) across the heart rate interval dimension: as shown in fig. 3, the acquiring current heart rate data of the target subject previously includes:
s301: acquiring a heart rate interval where the target object is located currently, and acquiring the current movement duration of the heart rate interval where the target object is located currently;
s302: acquiring a movement duration threshold and an ideal movement duration corresponding to the current heart rate interval;
s303: and when the difference value between the current movement time length and the ideal movement time length is less than or equal to the movement time length threshold value, triggering the step of acquiring the current heart rate data of the target object.
Since each heart rate interval corresponds to one exercise duration, the heart rate interval where the target object is currently located may be regarded as an exercise phase, and the step of acquiring the current heart rate data of the target object is triggered before the exercise phase is ended (for example, when 30 seconds are left in the exercise phase), so as to execute the following steps S202 to S204 to play the target media content. Therefore, 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 subinterval can be effectively played, and the influence on the user exercise effect caused by frequent switching, cross-heart-rate subinterval switching or cross-heart-rate interval switching of the media content is reduced.
2) Within and across heart rate intervals: as shown in fig. 4, the acquiring current heart rate data of the target object previously further includes:
s401: acquiring the media content currently received by the target object, and acquiring the current playing time length of the media content currently received by the target object;
s402: acquiring a playing time threshold and an ideal playing length corresponding to the currently received media content;
s403: and when the difference value between the current playing time length and the ideal playing time length is less than or equal to the playing time length threshold, triggering the step of acquiring the current heart rate data of the target object.
Considering that a certain playing time is needed for a single media content, the step of acquiring the current heart rate data of the target object may be triggered before the currently received media content is played (for example, when the media content is played for 30 seconds), and then the subsequent steps S202 to S204 are performed to play the target media content. Therefore, the playing integrity of the single media content can be ensured, and the influence on the user motion effect caused by frequent switching, switching across heart rate subintervals or switching across heart rate intervals of the media content 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 subinterval 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 phase. The exercise duration associated with the candidate heart rate interval a indicates an ideal exercise time interval of the exercise phase a, and when the exercise duration indicated by the exercise duration data falls within the ideal exercise time interval, it may be determined that the target object is in the exercise phase a and corresponds to the candidate heart rate interval a. For example, in the second exercise stage (corresponding to the 10 th minute to the 20 th minute from the exercise starting time point), when the exercise duration indicated by the exercise duration data is 15 minutes (corresponding to the user from the exercise starting time point to the current time point), the user is in the second exercise stage. And determining a target heart rate interval in at least two candidate heart rate intervals according to the exercise duration data, so as to obtain a current recommended heart rate interval corresponding to better exercise effect.
The media content may include at least one of: audio content and video content. The audio content may include music (such as vocal music, instrumental music), voice (such as route-inducing voice, training guidance voice, etc.), among others.
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 intensity of the motion:
s501: acquiring a human exercise heart rate interval;
the maximum value of the human exercise heart rate can be determined by combining mainstream kinematics, and then (65% -85%) of the maximum value of the human exercise heart rate is used as a human exercise heart rate interval, so that the obtained human exercise heart rate interval is an ideal interval corresponding to better exercise effect.
The maximum human exercise heart rate can be obtained by the age, sex of the user: HR (human HR)male(220-age) times/min (for males); HR (human HR)femaleTwice a minute (226-age) (for women). For example, user a is a male, his age is 24, and his maximum human exercise heart rate is 220-24-198 beats/minute.
S502: obtaining exercise intensity defining parameters, the exercise intensity defining parameters including at least one of: a gender parameter, an age parameter, a reference movement type and a reference movement duration;
the exercise intensity can refer to the strength of force and the tension of the body when in action, and is one of the main factors for determining the exercise load. The different genders of the users, the different ages of the users, the different types of exercises in which the users participate (e.g., aerobic exercises and anaerobic exercises) and the different durations of exercise performed by the users (e.g., 30 minutes and 3 hours) affect the determination of the exercise intensity and the variation trend adapted to the users.
S503: setting at least two levels of exercise intensity based on the exercise intensity defining parameters;
these exercise intensity defining parameters may be used as a basis for setting a default at least two levels of exercise intensity. The at least two levels of exercise intensity may include a first level of exercise intensity (corresponding to a warm-up exercise), a second level of exercise intensity (corresponding to a low intensity exercise, a relaxing (relaxing) exercise), a third level of exercise intensity (corresponding to a medium intensity exercise), and a fourth level of exercise intensity (corresponding to a high intensity exercise). The trend of the at least two levels of motion intensity may be increasing intensity first and then decreasing intensity second. Of course, the setting of the at least two levels of motion intensity and the trend 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: gender information, age information, a target motion type and a target motion duration; setting the at least two levels of exercise intensity based on the exercise intensity defining parameter and the object information. And setting at least two levels of exercise intensity and change trends thereof which are more in line with exercise requirements of the user under the condition that the at least two levels of default exercise intensity are set as the bottoms by combining basic information (such as gender information and age information) and preference information (such as target exercise type and target exercise duration) of the user. In practical applications, the object information of the target object can be input by a user based on a user interactive interface of the client.
S504: extracting the at least two candidate heart rate intervals matching the at least two levels of exercise intensity from the human exercise heart rate interval.
And extracting the at least two candidate heart rate intervals matched with the at least two levels of exercise intensity from the human exercise heart rate intervals based on the at least two levels of exercise intensity set by the above. Each of the candidate heart rate intervals may be considered as a motion phase, such that the extraction of the human motion heart rate interval may be: warm-up exercise stage (corresponding to first level exercise intensity): (50% -60%) human exercise heart rate maximum; low intensity exercise, relaxing (relaxing) exercise stage (corresponding to second level exercise intensity): (60% -70%) human exercise heart rate maximum; medium intensity exercise stage (corresponding to third level exercise intensity): (70% -80%) human exercise heart rate maximum; high intensity exercise phase (corresponding to fourth level exercise intensity): (80% -90%) human exercise heart rate maximum. Of course, the at least two levels of exercise intensity may also include a fifth level of exercise intensity corresponding to an anaerobic alert heart rate interval (90% -100%) versus a maximum value of the human exercise heart rate.
Further, for a certain motion process, a corresponding motion duration, such as 15 minutes, may be configured for each motion phase. Of course, the movement duration may also be set by the user for each movement phase.
In practical application, for a certain exercise process, 1) the at least two levels of exercise intensity and the corresponding heart rate interval may be set based on the selection of the user; 2) the at least two levels of exercise intensity can be set based on the selection of the user, and the corresponding relation between the at least two levels of exercise intensity and the corresponding heart rate interval is configured in advance, so that the setting of the corresponding heart rate interval is completed.
In another specific embodiment, it is considered that the rhythm of the played media content influences the exercise rhythm of the user, and the speed of the exercise rhythm of the user is a main factor influencing the real-time heart rate of the user. In order to achieve a better exercise effect, the association relationship between the at least two candidate heart rate intervals and a plurality of candidate media contents is established. As shown in fig. 6, the method further comprises establishing an association of the at least two candidate heart rate intervals with a plurality of candidate media content:
s601: obtaining the plurality of candidate media contents;
songs as media content may be collected from existing music libraries, song lists.
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) 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 sequence indicated by the corresponding frequency information, performing descending order arrangement on the candidate media contents to obtain a candidate media content list;
a corresponding reference frequency may be set for each song by comparing the frequency distributions of the different songs. The reference frequency may characterize the tempo of the song to some extent, and the songs are sorted based on frequency (tempo speed).
S605: extracting at least two candidate media content groups matched with the at least two levels of motion intensity 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: 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.
Since the at least two candidate media content groups are set based on the exercise intensity, here one candidate media content group is set for each candidate heart rate interval in the dimension of the candidate heart rate interval.
Further, the dimension of each heart rate sub-interval in the candidate heart rate interval is: the candidate heart rate intervals may be first segmented into a target number of the heart rate sub-intervals; then segmenting the candidate media content group associated with the candidate heart rate interval into the target number of candidate media content subgroups; and then establishing the association relationship between the heart rate subinterval and the candidate media content subgroup based on the positive correlation relationship of the heart rate frequency. This may establish a finer grained association of the heart rate subinterval with the subset of candidate media content to guide the user in achieving a more scientific movement.
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 established association relationship. The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product services layer, and an application services layer. The block chain underlying platform can comprise processing modules such as user management, basic service, intelligent contract and operation monitoring. The user management module is responsible for identity information management of all blockchain participants, and comprises public and private key generation maintenance (account management), key management, user real identity and blockchain address corresponding relation maintenance (authority management) and the like, and under the authorization condition, the user management module supervises and audits the transaction condition of certain real identities and provides rule configuration (wind control audit) of risk control; the basic service module is deployed on all block chain node equipment and used for verifying the validity of the service request, recording the service request to storage after consensus on the valid request is completed, for a new service request, the basic service firstly performs interface adaptation analysis and authentication processing (interface adaptation), then encrypts service information (consensus management) through a consensus algorithm, transmits the service information to a shared account (network communication) completely and consistently after encryption, and performs recording and storage; the intelligent contract module is responsible for registering and issuing contracts, triggering the contracts and executing the contracts, developers can define contract logics through a certain programming language, issue the contract logics to a block chain (contract registration), call keys or other event triggering and executing according to the logics of contract clauses, complete the contract logics and simultaneously provide the function of upgrading and canceling the contracts; the operation monitoring module is mainly responsible for deployment, configuration modification, contract setting, cloud adaptation in the product release process and visual output of real-time states in product operation, such as: alarm, monitoring network conditions, monitoring node equipment health status, and the like.
Wherein the corresponding candidate media content group may be written into the smart contract based on the candidate heart rate interval-the dimension of the corresponding candidate media content group. Content that triggers automatic switching of the corresponding candidate media content group based on switching of the target heart rate interval (such as switching from candidate heart rate interval a to candidate heart rate interval B) may be agreed upon in the smart contract.
S203: 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 object;
in the embodiment of the invention, the target heart rate interval is determined by the exercise duration data, 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 better exercise effect, an ideal heart rate subinterval can be determined in the target heart rate interval by combining with historical heart rate data, and then the user is guided to reach the recommendation range in real time by the candidate media content associated with the ideal heart rate subinterval.
In a specific embodiment, as shown in fig. 7, 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 object includes:
s701: obtaining an adjustment parameter, the adjustment parameter being set based on the target heart rate interval;
such as HRmaxIt may characterize the heart rate maximum of the target heart rate interval; HR (human HR)rIt may characterize the heart rate median of the target heart rate interval. Of course, the adjusting parameters may also include
It may be a constant value that is not 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 exercise time was 60 minutes, and the exercise process included a first phase (warm-up before exercise, 10 minutes), a second phase, and a third phase (recovery after exercise, 10 minutes). For example, if the exercise duration indicated by the exercise duration data is 20 minutes, the current time point indicates that the user is in the second phase, and then the corresponding heart rate data from the starting time point (beginning at 11 th minute) of the second phase to the time point (20 th minute) before the current time point 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 s2May correspond to a heart rate variance of a data set formed by the interval heart rate data and the current heart rate data. Heart rate reference value HRrealMay correspond to a heart rate average of a data set formed by the interval heart rate data and the current heart rate data.
S704: and determining the ideal heart rate subinterval in the target heart rate interval according to the adjusting 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 may be determined by the following formula, and the ideal heart rate subinterval may be 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 a song with a slower rhythm, and the soothing music can help the user to slow down the exercise rhythm, promote the reduction of exercise intensity, adjust the heart rate to a proper interval, and avoid danger caused by too fast heart rate. When the current heart rate is too low, the candidate media content associated with the ideal heart rate sub-interval corresponds to a fast-paced song, and the jerky 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 more accurately recommending sports music for the user. By combining the determination of the current heart rate data acquisition opportunity (corresponding to steps S301-S303 and steps S401-S403), timely (voice) guidance can be provided for the user at the key moment of each stage of the exercise process, more specialized exercise service can be provided for the user, and the exercise efficiency of the user can be improved.
S204: and 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.
In the embodiment of the present invention, the target media content may be played by a sound generation module (such as a speaker) of an intelligent terminal operated by a client; the target media content can also be played by a sound generating device (such as a bluetooth headset) that establishes a communication protocol (such as a bluetooth protocol) with the smart terminal, and at this time, the smart terminal is required to send the target media content to the sound generating device.
In a specific embodiment, the step of using the associated candidate media content as the target media content to be recommended then comprises: 1) acquiring the media content currently received by the target object, and acquiring the current playing time length of the media content currently received by the target object; 2) acquiring a transition duration threshold and an ideal playing duration corresponding to the currently received media content; 3) when the difference between the current playing time length and the ideal playing time length is less than or equal to the transition time length threshold, reducing the playing volume of the currently received media content playing 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, particularly when the switching node corresponding to the exercise intensity is switched, if the previous song is not played, the song can be played in a volume-fading mode until the song stops, and then the next song is introduced in a volume-fading mode, so that natural transition among songs is realized in a fading-fading mode, and the phenomenon that the exercise rhythm and the heart rate of a user are influenced due to overlarge change of music rhythm is avoided.
According to the technical scheme provided by the embodiment of the specification, the target heart rate interval is determined according to the movement duration data of the target object, and then the ideal heart rate subinterval is determined in the target heart rate interval based on the current heart rate data and the historical heart rate data of the target object. And each heart rate subinterval is associated with corresponding candidate media content, and then 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 exercise duration and the current heart rate, the target media content is more relevant to the current exercise 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 exercise intensity, and the determined target heart rate interval can be a current recommended heart rate interval corresponding to better exercise effect. In consideration of the relevance between the target media content and the ideal heart rate subinterval and the inclusion relation between the ideal heart rate subinterval and the target heart rate interval, the embodiment of the specification can assist the user in better exercise by using the target recommendation content, and can overcome the current heart rate fluctuation to guide the user to the target heart rate interval capable of realizing better exercise effect.
An embodiment of the present invention further provides a media content recommendation apparatus, as shown in fig. 8, the apparatus includes:
the parameter acquisition module 810: the device comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring movement duration data and current heart rate data of a target object;
heart rate interval determination module 820: the device comprises a target heart rate interval, a target heart rate interval and at least two candidate heart rate intervals, wherein the target heart rate interval is determined in the 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 subinterval in the candidate heart rate intervals is associated with corresponding candidate media content;
heart rate sub-interval determination module 830: determining an ideal heart rate sub-interval in the target heart rate interval based on the historical heart rate data and the current heart rate data of the target object;
target media content determination module 840: the method comprises the steps of obtaining candidate media content associated with the ideal heart rate subinterval, and using the associated candidate media content as target media content to be recommended.
It should be noted that the device and method embodiments in the device embodiment 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 program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to realize the media content recommendation method provided by the method embodiment.
Further, fig. 9 is a schematic diagram illustrating a hardware structure of an electronic device for implementing the media content recommendation method according to the embodiment of the present invention, where the electronic device may participate in forming or including the media content recommendation apparatus according to the embodiment of the present invention. As shown in fig. 9, the electronic device 90 may include one or more (shown here as 902a, 902b, … …, 902 n) processors 902 (the processors 902 may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 904 for storing data, and a transmission device 906 for communication functions. Besides, the method can also comprise the following steps: 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 source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 9 is only an illustration and is not intended to limit the structure 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 generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuit 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 application, the data processing circuit acts as a processor control (e.g. selection of a variable resistance termination path connected to the interface).
The memory 904 may be used for storing 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 various functional applications and data processing by operating the software programs and modules stored in the memory 94, so as to implement one of the media content recommendation methods 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 located remotely from 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 transmitting means 906 is used for receiving or sending data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the electronic device 90. In one example, the transmission device 906 includes a network adapter (NIC) that can be connected to other network devices through a base station so as to communicate with the internet. In one embodiment, the transmitting device 906 can be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
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).
The embodiment of the present invention further provides a storage medium, which may be disposed in an electronic device to store at least one instruction or at least one program for implementing a media content recommendation method in the 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 of a plurality of network servers of a computer network. Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
It should be noted that: the precedence order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may 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 may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and electronic apparatus embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for relevant points.
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 instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A method for recommending media contents, 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 subinterval 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 and the current heart rate data of the target object;
and 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.
2. The method of claim 1, wherein determining an ideal heart rate subinterval in the target heart rate interval based on the target subject's historical heart rate data and the current heart rate data comprises:
obtaining an adjustment parameter, the adjustment parameter 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 adjusting parameter, the heart rate fluctuation value and the heart rate reference value.
3. The method according to claim 1, further comprising setting the at least two candidate heart rate intervals based on a motion intensity:
acquiring a human exercise heart rate interval;
obtaining exercise intensity defining parameters, the exercise intensity defining parameters including at least one of: a gender parameter, an age parameter, a reference movement type and a reference movement duration;
setting at least two levels of exercise intensity based on the exercise intensity defining parameters;
extracting the at least two candidate heart rate intervals matching the at least two levels of exercise intensity from the human exercise heart rate interval.
4. The method according to claim 3, wherein the setting of at least two levels of exercise intensity based on the exercise intensity defining parameter comprises:
acquiring object information of the target object, wherein the object information comprises at least one of the following: gender information, age information, a target motion type and a target motion duration;
setting the at least two levels of exercise intensity based on the exercise intensity defining parameter and the object information.
5. The method of claim 3, further comprising establishing an association of the at least two candidate heart rate intervals with a plurality of candidate media content:
obtaining 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 sequence indicated by the corresponding frequency information, performing descending order arrangement on the candidate media contents to obtain a candidate media content list;
extracting at least two candidate media content groups matched with the at least two levels of motion intensity from the candidate media content list;
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.
6. The method of claim 5, wherein the associating 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 exercise intensity comprises:
segmenting the candidate heart rate intervals into a target number of the heart rate subintervals;
segment the set of candidate media content associated with the candidate heart rate interval into the target number of subsets of candidate media content;
and establishing the association relationship between the heart rate subinterval and the candidate media content subgroup based on the positive correlation relationship of the heart rate frequency.
7. The method of claim 1, wherein the obtaining current heart rate data for the target subject previously comprises:
acquiring a heart rate interval where the target object is located currently, and acquiring the current movement duration of the heart rate interval where the target object is located currently;
acquiring a movement duration threshold and an ideal movement duration corresponding to the current heart rate interval;
and when the difference value between the current movement time length and the ideal movement time length is less than or equal to the movement time length threshold value, triggering the step of acquiring the current heart rate data of the target object.
8. The method of claim 1, wherein the obtaining current heart rate data for the target subject further comprises:
acquiring the media content currently received by the target object, and acquiring 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 when the difference value between the current playing time length and the ideal playing time length is less than or equal to the playing time length threshold, triggering the step of acquiring the current heart rate data of the target object.
9. The method of claim 1, wherein the identifying the associated candidate media content as the target media content to be recommended comprises:
acquiring the media content currently received by the target object, and acquiring the current playing time length of the media content currently received by the target object;
acquiring a transition duration threshold and an ideal playing duration corresponding to the currently received media content;
when the difference between the current playing time length and the ideal playing time length is less than or equal to the transition time length threshold, 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 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.
10. An apparatus for recommending media contents, said apparatus comprising:
a parameter acquisition module: the device comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring movement duration data and current heart rate data of a target object;
a heart rate interval determination module: the device comprises a target heart rate interval, a target heart rate interval and at least two candidate heart rate intervals, wherein the target heart rate interval is determined in the 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 subinterval in the candidate heart rate intervals is associated with corresponding candidate media content;
a heart rate sub-interval determination module: determining an ideal heart rate sub-interval in the target heart rate interval based on the historical heart rate data and the current heart rate data of the target object;
a target media content determination module: the method comprises the steps of obtaining candidate media content associated with the ideal heart rate subinterval, and using the associated candidate media content as target media content to be recommended.
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