CN109284402B - Information recommendation method and device and storage medium - Google Patents

Information recommendation method and device and storage medium Download PDF

Info

Publication number
CN109284402B
CN109284402B CN201811103448.0A CN201811103448A CN109284402B CN 109284402 B CN109284402 B CN 109284402B CN 201811103448 A CN201811103448 A CN 201811103448A CN 109284402 B CN109284402 B CN 109284402B
Authority
CN
China
Prior art keywords
fitness
information
determining
control type
video
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811103448.0A
Other languages
Chinese (zh)
Other versions
CN109284402A (en
Inventor
卢元晨
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Mobile Communications Group Co Ltd
MIGU Interactive Entertainment Co Ltd
MIGU Culture Technology Co Ltd
Original Assignee
China Mobile Communications Group Co Ltd
MIGU Interactive Entertainment Co Ltd
MIGU Culture Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Mobile Communications Group Co Ltd, MIGU Interactive Entertainment Co Ltd, MIGU Culture Technology Co Ltd filed Critical China Mobile Communications Group Co Ltd
Priority to CN201811103448.0A priority Critical patent/CN109284402B/en
Publication of CN109284402A publication Critical patent/CN109284402A/en
Application granted granted Critical
Publication of CN109284402B publication Critical patent/CN109284402B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Engineering & Computer Science (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The application discloses an information recommendation method, an information recommendation device and a storage medium, wherein the method comprises the following steps: receiving image data sent by a terminal; the image data includes a first exercise device; determining whether the control type of the first exercise device is a specified control type; the first fitness device of the designated control type is used for setting the exercise intensity for the user; when the control type of the first body-building device is a designated control type, determining first recommendation information according to body-building information of the user corresponding to the terminal, so that the first body-building device sets corresponding exercise intensity based on the first recommendation information; the fitness information at least comprises: historical fitness records and physical status indicators; when the control type of the first body-building device is not the designated control type, determining second recommendation information according to the first body-building device; the second recommendation information is used for displaying the operation mode of the first body-building device through the terminal.

Description

Information recommendation method and device and storage medium
Technical Field
The present application relates to data processing technologies, and in particular, to an information recommendation method, an information recommendation apparatus, and a storage medium.
Background
People pay more and more attention to health, and more users use fitness equipment such as barbells, running machines to carry out fitness at home or in a gymnasium. When a user uses the fitness equipment to perform fitness, the user usually only performs more random fitness because the user does not know a fitness method suitable for the user, and the fitness effect is poor.
Disclosure of Invention
In order to solve the technical problem, embodiments of the present application provide an information recommendation method, apparatus, and storage medium, which recommend corresponding content to a user based on fitness equipment used by the user, and perform targeted fitness guidance for the user.
The technical scheme of the embodiment of the application is realized as follows:
in one aspect, an embodiment of the present application provides an information recommendation method, where the method includes:
receiving image data sent by a terminal; the image data includes a first exercise device;
determining whether the control type of the first exercise device is a specified control type; wherein the first exercise device of the specified control type is used to set an exercise intensity for a user;
when the control type of the first body-building device is a designated control type, determining first recommendation information according to body-building information of the user corresponding to the terminal, so that the first body-building device sets corresponding exercise intensity based on the first recommendation information; the fitness information at least comprises: historical fitness records and physical status indicators;
when the control type of the first body-building device is not the designated control type, determining second recommendation information according to the first body-building device; the second recommendation information is used for displaying the operation mode of the first body-building device through the terminal.
In the foregoing solution, the determining whether the control type of the first exercise device is a designated control type includes:
matching data corresponding to the first fitness device in the image data with materials in a set picture library, and determining target materials matched with the first fitness device;
determining material information of the target material, and determining whether the control type of the first body-building device is a designated control type according to the material information, wherein the material information represents the control type of the body-building device corresponding to the target material.
In the above scheme, the determining first recommendation information according to the fitness information of the user corresponding to the terminal includes:
acquiring the current fitness plan of the user, and determining fitness intensity and fitness duration according to the fitness information and the fitness plan;
and determining the fitness intensity and the fitness duration as first recommendation information.
In the foregoing solution, the determining second recommendation information according to the first exercise device includes:
determining at least one workout video of multimedia content associated with the first workout device;
acquiring the fitness information, and determining fitness intensity according to the fitness information;
selecting a recommended video from the at least one fitness video according to the fitness intensity, and sending summary information of the recommended video serving as recommended content to the terminal, wherein the summary information represents the content of the recommended video.
In the above solution, when the number of the at least one fitness video is greater than the set number threshold, the method further includes:
determining screening parameters, the screening parameters including at least one of: a video playback record for the first exercise device and a second exercise device associated with the first exercise device;
correspondingly, the selecting a recommended video from the at least one fitness video according to the fitness intensity comprises:
the at least one candidate video is selected from the at least one body-building video according to the body-building intensity;
and selecting the recommended video from the at least one candidate video according to the screening parameters.
In the above aspect, when the screening parameter includes the second exercise device, the method further includes:
when the image data are determined to comprise at least two fitness devices, generating a selection request according to device information of the two fitness devices, and sending the selection request to the terminal;
and receiving a selection instruction which is sent by a terminal and responds to the selection request, and selecting the first fitness device and the second fitness device from the at least two fitness devices according to the selection instruction.
In the above scheme, when the recommended video includes at least two recommended videos, the method further includes:
obtaining an operation record of the user for each recommended video, wherein the operation record at least comprises one of the following: playing times, comment times and sharing times;
for each recommended video, determining a recommended value according to the weight value corresponding to each record type and the operation record;
and sequencing the at least two recommended videos according to the recommended value of each recommended video.
On the other hand, an embodiment of the present application provides an information recommendation device, where the device includes: the device comprises a receiving module, a type determining module, a first recommending module and a second recommending module; wherein the content of the first and second substances,
the receiving module is used for receiving the image data sent by the terminal; the image data includes a first exercise device;
the type determining module is used for determining whether the control type of the first body-building device is a designated control type; wherein the first exercise device of the specified control type is used to set an exercise intensity for a user;
the first recommending module is used for determining first recommending information according to the body building information of the user corresponding to the terminal when the control type of the first body building device is a designated control type, so that the first body building device sets corresponding exercise intensity based on the first recommending information; the fitness information at least comprises: historical fitness records and physical status indicators;
the second recommending module is used for determining second recommending information according to the first body-building device when the control type of the first body-building device is not the designated control type; the second recommendation information is used for displaying the operation mode of the first body-building device through the terminal.
In another aspect, an embodiment of the present application provides an information recommendation apparatus, including: a processor and a memory for storing a computer program operable on the processor, wherein the processor is configured to perform the steps of the information recommendation method described above when executing the computer program.
In another aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the information recommendation method are implemented.
The information recommendation method, the information recommendation device and the computer-readable storage medium of the embodiment of the application receive image data sent by a terminal; the image data includes a first exercise device; determining whether the control type of the first exercise device is a specified control type; wherein the first exercise device of the specified control type is used to set an exercise intensity for a user; when the control type of the first body-building device is a designated control type, determining first recommendation information according to body-building information of the user corresponding to the terminal, so that the first body-building device sets corresponding exercise intensity based on the first recommendation information; the fitness information at least comprises: historical fitness records and physical status indicators; when the control type of the first body-building device is not the designated control type, determining second recommendation information according to the first body-building device; the second recommendation information is used for displaying the operation mode of the first body-building device through the terminal. The corresponding recommendation information can be recommended for the user according to the control type of the first fitness device in the image data sent by the terminal, so that the recommendation information is determined to guide the fitness process of the user based on the actual situation of the user, the user can perform fitness suitable for the user, and the fitness effect is improved.
Drawings
Fig. 1 is a schematic diagram of a network structure provided in an embodiment of the present application;
fig. 2 is a schematic flowchart of an information recommendation method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of an information recommendation method according to a second embodiment of the present application;
fig. 4 is a schematic structural diagram of an information recommendation device according to a third embodiment of the present application;
fig. 5 is a schematic structural diagram of a component of a type determining module provided in the third embodiment of the present application;
fig. 6 is a schematic structural diagram of a first recommendation module according to a third embodiment of the present application;
fig. 7 is a schematic structural diagram of a second recommendation module according to a third embodiment of the present application;
fig. 8 is a schematic structural diagram of another information recommendation device according to a third embodiment of the present application;
fig. 9 is a schematic structural diagram of an information recommendation device according to a fourth embodiment of the present application.
Detailed Description
In the embodiment of the application, image data sent by a terminal is received; the image data includes a first exercise device; determining whether the control type of the first exercise device is a specified control type; wherein the first exercise device of the specified control type is used to set an exercise intensity for a user; when the control type of the first body-building device is a designated control type, determining first recommendation information according to body-building information of the user corresponding to the terminal, so that the first body-building device sets corresponding exercise intensity based on the first recommendation information; the fitness information at least comprises: historical fitness records and physical status indicators; when the control type of the first body-building device is not the designated control type, determining second recommendation information according to the first body-building device; the second recommendation information is used for displaying the operation mode of the first body-building device through the terminal.
The following describes the embodiments in further detail with reference to the accompanying drawings.
Example one
The embodiment of the present application provides an information recommendation method, which is applied to an information recommendation system shown in fig. 1, where as shown in fig. 1, the information recommendation system includes a terminal 10 and a server 20, and the terminal 10 and the server 20 perform information interaction through a wireless network 30. The terminal 10 may be a mobile terminal such as a mobile phone or an iPAD of a user. Before the user exercises, the terminal 10 can acquire an image of the exercise environment where the user is located through a camera on the terminal to obtain image data, and send the acquired image data to the server 20 through the wireless network 30. After receiving the image sent by the terminal 10, the server 20 determines corresponding recommendation information according to the first fitness device in the received image data, and sends the determined recommendation information to the terminal 10 or the first fitness device to guide the fitness process of the user. When the first fitness device is a designated type of fitness device, the first fitness device may access the information recommendation system through the wireless network and receive recommendation information pushed by the server 20 through the wireless network. The wireless network may be a wireless network such as WIFI, a mobile network of an operator, and the like.
An embodiment of the present application provides an information recommendation method, as shown in fig. 2, the method includes:
s201, receiving image data sent by a terminal;
the image data includes a first exercise device.
When the terminal detects that the user performs the photographing operation, the acquired image data can be sent to the server, and at the moment, the user information can be sent to the server together. Before sending image data to the server, the terminal may determine a current photographing scene according to information such as location information and time information, for example: and determining that the user is currently in the gymnasium according to the position information, determining that the photographing scene is the gymnasium scene, and sending the acquired image data to the server. For another example: and determining that the user is in the body-building time at present according to the time information, determining that the photographing scene is the body-building scene, and sending the acquired image data to the server.
Before the terminal sends the acquired image data to the server, whether the acquired image data comprises the first body-building device or not can be detected through image recognition, and when the first body-building device is detected, the acquired image data is sent to the server. Wherein the first exercise device in the image data may be part or all of the first exercise device. The first body-building device can be a rowing machine, a body-building vehicle, a walking machine, a running machine, a waist-building machine and other body-building apparatuses.
When the terminal transmits image data to the server, the terminal address and user information of the terminal may be carried, and the terminal address and user information may be transmitted to the server.
And when the server receives the image data sent by the terminal, identifying the image data and identifying the object included in the image. The image recognition algorithm for recognizing the object in the image data by the server can be a target detection algorithm such as Faster R-CNN, R-FCN and SSD. In the embodiment of the present application, an image recognition algorithm for recognizing an object included in image data by a server is not limited at all.
When the server detects that the first exercise device is included in the image data, S102 is executed to confirm the control type of the first exercise device.
S202, determining whether the control type of the first body-building device is a designated control type;
wherein the first exercise device of the specified control type is used to set an exercise intensity for a user; that is, the designated control type is a smart type, and the first exercise device of the designated control type can control the exercise intensity of the first exercise device through the setting of the parameter.
In one embodiment, the determining whether the type of control of the first exercise device is a specified type of control comprises: matching data corresponding to the first fitness device in the image data with materials in a set picture library, and determining target materials matched with the first fitness device; determining material information of the target material, and determining whether the control type of the first body-building device is a designated control type according to the material information, wherein the material information represents the control type of the body-building device corresponding to the target material.
In this embodiment, the server may be provided with a material library, where the material library includes a first material library and a second material library, a material in the first material library is a picture of a fitness equipment of a designated type, and a material in the second material library is a picture of a fitness equipment of a non-designated type.
In practical application, the materials in the material library can be pre-recorded. When a new body-building device is introduced, the body-building device can be photographed, the control type of the body-building device is set, and the photographed picture is recorded into the first material library or the second material library as a material according to the set control type.
Here, the material library may also be a material library, and each material in the material library corresponds to a control type tag to represent whether the control type of each material is a designated control type or a non-designated control type.
The server compares the received image data with the materials in the material library, finds out the target material with the highest similarity to the materials in the material library, and takes the control type of the target material or the type of the material library as the control type of the first fitness device in the received image data.
Each material in the material library can also be provided with material information, including information such as manufacturer name, logo (trademark) and the like. At this time, after the control type of the first fitness equipment in the received image data is determined, the auxiliary judgment information such as logo (trademark), name, etc. of the manufacturer of the first fitness equipment can be identified. When the auxiliary judgment information of the first body-building device is identified, the auxiliary judgment information can be compared with the material information of the target material, and if the auxiliary judgment information and the material information are the same, the target material is determined to be the material corresponding to the first body-building device.
S203, when the control type of the first body-building device is the designated control type, determining first recommendation information according to body-building information of the user corresponding to the terminal;
the server determines first recommendation information so that the first fitness device sets corresponding exercise intensity based on the first recommendation information; the fitness information at least comprises: historical fitness records and physical condition indicators.
When the first body-building device is determined to be of the designated control type, the first body-building device in the received image data is determined to be the intelligent body-building device, at this time, first recommendation information is determined according to the body-building information of the user, and the first recommendation information is information for controlling the exercise intensity of the first body-building device, such as: body-building intensity and body-building duration. The historical fitness records comprise the fitness intensity, the fitness duration, the record of the played fitness video and other records of the user in the previous fitness process, wherein the records are related to the fitness in the fitness process. The physical state indicators may include: the body indexes such as heartbeat, blood pressure, respiration and the like can reflect the current body state of the user.
Different fitness intensities characterize different fitness levels, such as: the fitness intensity of a treadmill includes three levels: first, second and third, wherein first, is easier; second order is difficult; the third stage is very difficult; when running at "first degree" intensity, it should be possible to speak clearly while exercising, but not to sing. Speaking is strenuous at the 'second level' intensity, but the strenuous degree is not too high, and the exercise can be continued for more than 20 minutes; the 'third-level' strength is close to extreme effort and can only last for 5-10 minutes.
In an embodiment, the determining the first recommendation information according to the fitness information of the user corresponding to the terminal includes: acquiring the current fitness plan of the user, and determining fitness intensity and fitness duration according to the fitness information and the fitness plan; and determining the fitness intensity and the fitness duration as first recommendation information.
Here, the identity of the first exercise device may be obtained when the server determines that the first exercise device is a designated type of exercise device.
The server may send a prompt message to the terminal to prompt the terminal to scan the id on the first exercise device to obtain the id of the first exercise device, such as: when first body-building device is intelligent treadmill, the server indicates "please scan the two-dimensional code on the treadmill" to the user, after the user passes through the two-dimensional code on the terminal scanning intelligent treadmill, the terminal obtains the identification of intelligent treadmill to send the identification of intelligent treadmill to the server, also can be after the terminal scans the two-dimensional code on the intelligent treadmill, trigger intelligent treadmill and upload to the server with the identification of self.
Here, the smart terminal may also interact with the first exercise device based on Near Field Communication (NFC), and trigger uploading of the identity of the first exercise device.
The server can also obtain the position information of the terminal, and the identity information of the first body-building device corresponding to the current position is determined according to the position information of the terminal. Such as: the treadmill in area 1 is treadmill 1, the treadmill in area 2 is treadmill 2, and when the position information of the terminal indicates that the terminal is located in area 1, the treadmill is treadmill 1.
And acquiring the exercise plan set in the first exercise device from the first exercise device after the identity information of the first exercise device is determined. When a user uses a first fitness device of a specified type to perform fitness, the first fitness device needs to be set up with a fitness plan so as to determine that the operation of the first fitness device is controlled. Before the user exercises, the physical state of the user can be detected by a detection device connected with the server to obtain a physical state index of the user, and the physical state index of the user can include: body indexes such as heartbeat, blood pressure, respiration and the like. The server can obtain the historical fitness records of the user from the local according to the user information.
The server obtains the fitness plan from the first fitness device and determines the historical fitness record and the physical state index of the user. And the server determines first recommendation information according to the fitness plan, the historical fitness record of the user and the body state index, wherein the first recommendation information comprises fitness intensity and fitness duration. Such as: the fitness plan is that the fitness intensity is at a middle level, the fitness duration is 20 minutes, when the fitness record of the user indicates that the fitness duration of the user is 15 minutes and the current blood pressure of the user is high, the fitness intensity of the user can be properly reduced, and the fitness intensity is set to be at a low level.
In the embodiment of the application, the relationship between the fitness plan, the historical fitness record and the body state index and the determined first recommendation information can be determined through deep learning, or the corresponding relationship between one factor and the first recommendation information is set, and the specific determination mode of the first recommendation information is not limited at all.
After the server determines the first recommendation information, the first recommendation information is sent to the first fitness device, so that the first fitness device adjusts the operation of the first fitness device.
In practical application, the server can also obtain the body state index of the user in the movement process of the user, determine the first recommendation information according to the body-building plan, the historical body-building record and the current body state index, and send the first recommendation information to the first body-building device so as to control the movement intensity of the first body-building device.
S204, when the control type of the first body-building device is not the designated control type, determining second recommendation information according to the first body-building device.
The second recommendation information is used for displaying the operation mode of the first body-building device through the terminal.
Here, when it is determined that the first exercise device is an exercise device of a non-designated control type, information such as an exercise video, an operation guide, a control manner, and the like, related to the first exercise device may be determined and transmitted to the terminal as second recommendation information, so that the user can operate the first exercise device according to the second recommendation information or perform exercise based on guidance of the second recommendation information.
In one embodiment, the determining second recommendation information according to the first exercise device includes: determining at least one workout video of multimedia content associated with the first workout device; acquiring the fitness information, and determining fitness intensity according to the fitness information; selecting a recommended video from the at least one fitness video according to the fitness intensity, and sending summary information of the recommended video serving as recommended content to the terminal, wherein the summary information represents the content of the recommended video.
For example, when the first exercise device is a treadmill, the exercise videos related to the treadmill in the video library are selected, and at this time, the determined exercise videos include exercise videos of various exercise intensities. And when the fitness videos are determined, determining the fitness intensity of the user to be a middle level according to the fitness information of the user, and selecting the fitness video with the middle fitness intensity from the determined fitness videos as a recommendation video to recommend to the user.
When the server pushes the legged nail videos to the user, the server can push abstract information capable of representing the contents of the pushed recommended videos to the terminal, so that the user can timely know the related contents of the recommended videos. Here, the summary information may be: video names, durations, tutors, keywords, etc. characterize the video content.
In an embodiment, when the number of the at least one fitness video is greater than a set number threshold, the method further comprises: determining screening parameters, the screening parameters including at least one of: a video playback record for the first exercise device and a second exercise device associated with the first exercise device;
correspondingly, the selecting a recommended video from the at least one fitness video according to the fitness intensity comprises: the at least one candidate video is selected from the at least one body-building video according to the body-building intensity; and selecting the recommended video from the at least one candidate video according to the screening parameters.
When the number of the fitness videos determined by the server is large, candidate videos are determined from the determined fitness videos according to screening parameters, such as: when the screening parameter is the video playing record aiming at the first body-building device, determining a guide teacher liked by the user according to the video playing record, selecting the video of the guide teacher from the body-building videos as a candidate video, and selecting the recommended video corresponding to the body-building grade from the candidate video. For another example: when the screening parameter is the yoga ball of the person-obtaining fitness device corresponding to the dumbbell of the first fitness device, determining candidate videos related to the yoga ball from the determined fitness videos related to the dumbbell, and then selecting recommended videos corresponding to fitness grades from the candidate videos.
The determination of the second fitness device in the screening parameters can be determined according to historical fitness records of the user or image data uploaded by the terminal. For example, when it is determined that the first fitness device is a dumbbell, it is determined that the user uses the dumbbell while using the yoga ball according to historical fitness records such as equipment registration records and the like in a fitness video played by the user, and the yoga ball is used as the second fitness device associated with the dumbbell. For another example: when including the dumbbell in the image data who shoots, when still including the yoga ball, regard as the second body-building device associated with the dumbbell with the yoga ball.
In one embodiment, when the screening parameter comprises the second exercise device, the method further comprises: when the image data are determined to comprise at least two fitness devices, generating a selection request according to device information of the two fitness devices, and sending the selection request to the terminal; and receiving a selection instruction which is sent by a terminal and responds to the selection request, and selecting the first fitness device and the second fitness device from the at least two fitness devices according to the selection instruction. Here, when the image data collected by the terminal includes two fitness devices, the user may select the first fitness device and the second fitness device to be used, where the first fitness device may be a fitness apparatus with a long use time, and the second fitness device may be a fitness apparatus with a short use time or an auxiliary for assisting the first fitness apparatus. That is, whether the user uses the second fitness equipment during the fitness process is not influenced on whether the user can exercise.
In an embodiment, 7, the method of claim 4, wherein when the recommended video comprises at least two recommended videos, the method further comprises: obtaining an operation record of the user for each recommended video, wherein the operation record at least comprises one of the following: playing times, comment times and sharing times; for each recommended video, determining a recommended value according to the weight value corresponding to each record type and the operation record; and sequencing the at least two recommended videos according to the recommended value of each recommended video.
When the recommended videos are determined to include at least two videos, the operation records of the users on the recommended videos can be obtained, each recommended video is ranked according to the operation records of the users, and the videos ranked in the front are preferentially recommended to the users.
In one embodiment, determining the fitness intensity of the user in S203 or S204 includes: the determining the fitness level according to the fitness information comprises: determining initial fitness intensity according to the historical fitness record; and determining the fitness intensity according to the body state identification and the initial fitness intensity. The body state identification comprises at least one of: heartbeat, blood pressure, respiration. That is, a static initial user workout intensity is determined based on the user's historical workout history, the initial workout intensity being associated with the user's historical workout history and not with the current physical state. After the initial fitness intensity is determined, the fitness intensity of the user at this time is determined on the basis of the initial fitness intensity according to the current body state of the user. Therefore, the body-building strength of the user can be correspondingly adjusted along with different physical states of the user.
When the terminal receives the second recommendation information, the second recommendation information is displayed, and the user can perform effective fitness according to the guidance of the second recommendation information.
In the embodiment of the application, image data sent by a terminal is received; the image data includes a first exercise device; determining whether the control type of the first exercise device is a specified control type; wherein the first exercise device of the specified control type is used to set an exercise intensity for a user; when the control type of the first body-building device is a designated control type, determining first recommendation information according to body-building information of the user corresponding to the terminal, so that the first body-building device sets corresponding exercise intensity based on the first recommendation information; the fitness information at least comprises: historical fitness records and physical status indicators; when the control type of the first body-building device is not the designated control type, determining second recommendation information according to the first body-building device; the second recommendation information is used for displaying the operation mode of the first body-building device through the terminal. The corresponding recommendation information can be recommended for the user according to the control type of the first fitness device in the image data sent by the terminal, so that the recommendation information is determined to guide the fitness process of the user based on the actual situation of the user, the user can perform fitness suitable for the user, and the fitness effect is improved.
Example two
In this embodiment of the present application, further description is made in the information recommendation method provided in the first embodiment of the present application, as shown in fig. 3, including:
s301, the server identifies the picture uploaded by the terminal, and if the picture contains the fitness equipment, whether the fitness equipment is the fitness equipment capable of being intelligently controlled is judged;
when the terminal monitors that the user performs the photographing operation, the terminal can send the photographed photo to the server so that the server can identify the photo. When the server identifies that the photo contains the fitness equipment, the server can judge whether the fitness equipment is the fitness equipment capable of being intelligently controlled.
In one embodiment, the server may preset a first fitness equipment picture library (corresponding to the first material library) and a second fitness equipment picture library (corresponding to the second material library). The pictures in the first fitness equipment picture library are pictures related to fitness equipment capable of being intelligently controlled. For example, when the exercise machine capable of intelligent control is a treadmill, the pictures related to the treadmill in the first library of exercise pictures include: the picture of the treadmill capable of intelligent control, the name of the manufacturer producing the treadmill capable of intelligent control, the picture of logo and the like. The pictures in the second fitness equipment picture library are pictures related to fitness equipment which cannot be intelligently controlled. For example, when the exercise machine that is not intelligently controllable is a dumbbell, the pictures in the second exercise machine picture library may include: pictures of dumbbells, names of manufacturers who produce dumbbells, pictures of logos and the like.
In the above embodiment, when the server identifies the photos uploaded by the terminal, the server may identify the photos uploaded by the terminal based on the pictures in the first fitness equipment picture library and the second fitness equipment picture library. When the fitness equipment identified by the server from the picture uploaded by the terminal is matched with the picture in the first fitness material picture library, the fitness equipment identified by the server from the picture uploaded by the terminal can be determined to be the fitness equipment capable of being intelligently controlled, and S302 is executed; when the fitness equipment identified from the uploaded picture is matched with the picture in the second fitness material picture library, it can be determined that the fitness equipment identified from the picture uploaded by the terminal by the server is the fitness equipment which cannot be intelligently controlled, and S305 is executed.
S302, determining fitness difficulty suitable for the user corresponding to the recognized fitness equipment according to the current body state of the user and the historical fitness record of the user;
if the fitness equipment identified from the picture by the server is not fitness equipment capable of being intelligently controlled, such as a dumbbell, the server acquires the current body state of the user and the historical fitness record of the user, and determines the fitness difficulty (namely the fitness strength) suitable for the user corresponding to the identified fitness equipment according to the current body state and the historical fitness record of the user.
When the server determines the fitness difficulty, the server may determine an initial fitness difficulty suitable for the user according to a historical fitness record of the user, such as a historical fitness record for the identified fitness equipment, a historical fitness record for other fitness equipment having the same body part as the exercise body part of the identified fitness equipment, and the like. The server may then determine the user's current physical state. When the current body state of the user is determined, the current body state of the user can be determined according to the current heart rate of the user uploaded by the terminal, the current exercise time of the user, the corresponding exercise intensity and the like. After determining the current physical state of the user, the server may determine a fitness difficulty level corresponding to the identified fitness equipment that is appropriate for the user in conjunction with the current physical state of the user and the initial fitness difficulty level.
S303, after the fitness difficulty suitable for the user is determined, obtaining a teaching video corresponding to the identified fitness equipment, and screening out the teaching video corresponding to the fitness difficulty suitable for the user from the obtained teaching video;
after the body-building difficulty suitable for the user is determined, the server can acquire the teaching video (namely the body-building video) corresponding to the identified body-building equipment, and screen out the teaching video (namely the candidate video) corresponding to the body-building difficulty suitable for the user from the acquired teaching video. When the server screens the teaching videos corresponding to the fitness difficulty suitable for the user, the server can determine the fitness difficulty corresponding to each teaching video, and then, corresponding screening is carried out according to the fitness difficulty of the user.
When the server determines the body-building difficulty corresponding to each teaching video, the server can determine the body-building difficulty corresponding to each teaching video according to the acquired name information, label information, comment information corresponding to each teaching video, barrage information and other information of each teaching video; and the audio data or subtitles in each teaching video can be identified, and the body-building difficulty corresponding to each teaching video is determined according to the identification result.
S304, if the number of the screened teaching videos is large, further screening the screened teaching videos, and sending the further screened teaching videos to a terminal so that the terminal can display the further screened teaching videos;
after screening out teaching videos corresponding to fitness difficulty suitable for the user, the server determines the number of screened out teaching videos (i.e., candidate videos).
If the number of the screened teaching videos is large, the server can further screen the screened teaching videos to determine the teaching videos which are preferentially displayed or displayed in the front (namely, recommendation videos) at the terminal. When the server further screens the screened teaching videos, the server can determine the historical fitness habits of the user aiming at the identified fitness equipment and/or auxiliary tools which can be used by the user for the fitness at this time.
In one example, the server may obtain user historical fitness data associated with the identified fitness equipment, such as instructional videos associated with the identified fitness equipment viewed during historical fitness, fitness videos associated with the identified fitness equipment recorded by the user history, and so forth. The server determines historical fitness habits of the user on the identified fitness equipment from the acquired historical fitness data. For example, the identified fitness equipment may be a dumbbell, the server may determine that the user is accustomed to using the yoga ball when using the dumbbell to perform fitness from the user historical fitness data related to the dumbbell, and then the server may determine that the user is accustomed to using the yoga ball as an auxiliary tool to perform fitness for the historical fitness habit of the dumbbell.
In one example, the server may determine the auxiliary tools that can be used by the user for the exercise, specifically, the server may perform image recognition on the photo containing the exercise equipment just uploaded by the terminal or recognize the photo related to the surrounding environment acquired by the terminal, and then the server may transmit the recognition result to the terminal, so that the user can determine the auxiliary tools that can be used by the user when the user uses the exercise equipment.
In the scheme, after determining the historical fitness habits of the user for the identified fitness equipment and/or the auxiliary tools capable of being used for the fitness, the server can further screen the teaching video based on the identified historical fitness habits and/or auxiliary tools of the fitness equipment to obtain the teaching video meeting the screening conditions. The server can send the further screened teaching videos to the terminal, so that the terminal can preferentially display or display the further screened teaching videos to the user in advance.
In an embodiment, before the server sends the further screened teaching videos to the terminal, a display sequence of the further screened teaching videos at the terminal may be determined, so that the terminal may display the further screened teaching videos according to the display sequence determined by the server after receiving the further screened teaching videos.
In one example, the server may determine that the display order of the teaching videos screened out according to the auxiliary tools available for the exercise at this time is earlier on the terminal, and determine that the display order of the teaching videos screened out according to the historical exercise habits of the user for the identified exercise equipment is later on the terminal.
In an example, the server may further determine, according to a preset weight, a ranking recommendation value corresponding to each teaching video in the further screened teaching videos, and then determine, according to the size of the determined ranking recommendation value, a display order of the further screened teaching videos at the terminal.
Specifically, the server may first obtain the total viewing frequency, the total attention number, the total share number, the total comment number, the historical viewing frequency, the historical attention number, the historical share number, the historical comment number, and the like of the current user on each teaching video or the teaching video related to the teaching teacher in each teaching video, and then determine the ranking recommendation value corresponding to each teaching video in combination with a preset weight, and after determining the ranking recommendation value corresponding to each screened teaching video, the server may determine the display order of the further screened teaching video on the terminal according to the size of the determined ranking recommendation value, for example, when the ranking recommendation value is large, the display order of the corresponding teaching video on the terminal may be earlier; when the sequencing recommendation value is smaller, the display sequence of the corresponding teaching video on the terminal can be backward.
In an example, the server may also obtain further filtered operation records of the user for each teaching video, such as: the method comprises the steps of recording the watching times, the collection times, the sharing times, the comment numbers and the like, setting the weight of each teaching video according to the operation record of a user, determining the recommended value of each teaching video according to the weight value of each record, and sequencing the further screened teaching videos according to the determined recommended values. When the recommended value is larger, the display sequence of the corresponding teaching video on the terminal can be earlier; when the recommended value is smaller, the display sequence of the corresponding teaching video on the terminal can be backward.
In the scheme, if the number of the selected teaching videos corresponding to the fitness difficulty of the user is small, the server can send the selected teaching videos corresponding to the fitness difficulty of the user to the terminal, wherein before the server sends the teaching videos corresponding to the fitness difficulty of the user to the terminal, the display sequence of the teaching videos on the terminal can be determined according to the historical fitness habits of the user on the identified fitness equipment and/or auxiliary tools capable of being used by the user for the fitness and the determined sequencing recommendation value.
S305, determining the corresponding fitness difficulty and the corresponding fitness duration of the fitness equipment according to the historical fitness habits, the current body state and the current training plan of the user, and correspondingly setting the identified fitness equipment according to the determined fitness difficulty and the determined fitness duration.
In the scheme, if the fitness equipment identified by the server is fitness equipment capable of being intelligently controlled, such as a treadmill, an elliptical machine and the like, the server can determine the fitness difficulty, the fitness duration and the like corresponding to the fitness equipment according to the historical fitness habit, the current body state, the current training plan and the like of the user. Then, after the user determines the fitness equipment to be used, for example, after the user scans the two-dimensional code on the fitness equipment, the server can automatically synchronize the fitness difficulty, the fitness duration and the like to the fitness equipment and perform corresponding setting, so that the user can directly use the fitness equipment to perform fitness without manual setting by the user.
The body-building method provided by the embodiment of the application can be used for screening the teaching video based on the actual situation of the user and guiding the body-building process of the user through the screened teaching video, so that the user can perform body building suitable for the user and the body-building effect is improved.
EXAMPLE III
In order to implement the information recommendation method provided in the first embodiment, an embodiment of the present application provides an information recommendation apparatus, as shown in fig. 4, the apparatus includes: a receiving module 401, a type determining module 402, a first recommending module 403 and a second recommending module 404; wherein the content of the first and second substances,
a receiving module 401, configured to receive image data sent by a terminal; the image data includes a first exercise device;
a type determination module 402 for determining whether the control type of the first exercise device is a specified control type; wherein the first exercise device of the specified control type is used to set an exercise intensity for a user;
a first recommending module 403, configured to determine first recommending information according to the exercise information of the user corresponding to the terminal when the control type of the first exercise device is a designated control type, so that the first exercise device sets a corresponding exercise intensity based on the first recommending information; the fitness information at least comprises: historical fitness records and physical status indicators;
a second recommending module 404, configured to determine second recommendation information according to the first exercise device when the control type of the first exercise device is not the designated control type; the second recommendation information is used for displaying the operation mode of the first body-building device through the terminal.
In one embodiment, as shown in FIG. 5, the type determination module 402 includes: an alignment sub-module 421 and a first determination sub-module 422;
a comparison sub-module 421, configured to match data corresponding to the first fitness device in the image data with materials in a set photo library, and determine a target material matched with the first fitness device;
the first determining sub-module 422 is configured to determine material information of the target material, and determine whether the control type of the first exercise device is a designated control type according to the material information, where the material information represents the control type of the exercise device corresponding to the target material.
In one embodiment, as shown in fig. 6, the first recommending module 403 includes: a first obtaining submodule 431 and a second determining submodule 432; wherein the content of the first and second substances,
a first obtaining submodule 431, configured to obtain a current fitness plan of the user;
the second determining submodule 432 is used for determining fitness intensity and fitness duration as first recommended information according to the fitness information and the fitness plan; and determining the fitness intensity and the fitness duration as first recommendation information.
In one embodiment, as shown in FIG. 7, the second recommendation module 404 includes: a third determination sub-module 441, a second acquisition sub-module 442 and a selection sub-module 443,
a third determining sub-module 441 for determining at least one fitness video associated with the first fitness device in the multimedia content;
the second obtaining sub-module 442 is configured to obtain the fitness information, and determine fitness intensity according to the fitness information;
the selecting sub-module 443 is configured to select a recommended video from the at least one fitness video according to the fitness intensity, and send summary information of the recommended video as recommended content to the terminal, where the summary information represents content of the recommended video.
In one embodiment, as shown in fig. 7, the apparatus further comprises: a screening module 405, configured to determine a screening parameter when the number of the at least one exercise video is greater than a set number threshold, where the screening parameter includes at least one of: a video playback record for the first exercise device and a second exercise device associated with the first exercise device;
correspondingly, the selecting sub-module 443 is configured to select at least one candidate video from the at least one fitness video according to the fitness strength; and selecting the recommended video from the at least one candidate video according to the screening parameters.
In one embodiment, as shown in fig. 8, the apparatus further comprises: a selecting module 406, configured to:
when the screening parameters comprise the second fitness device, when the image data comprise at least two fitness devices, generating a selection request according to device information of the two fitness devices, and sending the selection request to the terminal; and receiving a selection instruction which is sent by a terminal and responds to the selection request, and selecting the first fitness device and the second fitness device from the at least two fitness devices according to the selection instruction.
In one embodiment, as shown in fig. 8, the apparatus further comprises: a sorting module 407 configured to:
when the recommended videos comprise at least two recommended videos, acquiring an operation record of the user for each recommended video, wherein the operation record at least comprises one of the following: playing times, comment times and sharing times;
for each recommended video, determining a recommended value according to the weight value corresponding to each record type and the operation record;
and sequencing the at least two recommended videos according to the recommended value of each recommended video.
Example four
An embodiment of the present application further provides an information recommendation apparatus, where the information recommendation apparatus includes: a processor and a memory for storing a computer program operable on the processor, wherein the processor is operable when executing the computer program to perform:
receiving image data sent by a terminal; the image data includes a first exercise device;
determining whether the control type of the first exercise device is a specified control type; wherein the first exercise device of the specified control type is used to set an exercise intensity for a user;
when the control type of the first body-building device is a designated control type, determining first recommendation information according to body-building information of the user corresponding to the terminal, so that the first body-building device sets corresponding exercise intensity based on the first recommendation information; the fitness information at least comprises: historical fitness records and physical status indicators;
when the control type of the first body-building device is not the designated control type, determining second recommendation information according to the first body-building device; the second recommendation information is used for displaying the operation mode of the first body-building device through the terminal.
In one embodiment, the determining whether the control type of the first exercise device is a designated control type is performed by the processor when executing the computer program, and includes:
matching data corresponding to the first fitness device in the image data with materials in a set picture library, and determining target materials matched with the first fitness device;
determining material information of the target material, and determining whether the control type of the first body-building device is a designated control type according to the material information, wherein the material information represents the control type of the body-building device corresponding to the target material.
In an embodiment, when the processor is configured to run the computer program, the determining first recommendation information according to the fitness information of the user corresponding to the terminal is performed, and the determining the first recommendation information includes:
acquiring a current fitness plan of the user;
determining fitness intensity and fitness duration according to the fitness information and the fitness plan; and determining the fitness intensity and the fitness duration as first recommendation information.
In one embodiment, the processor is configured to execute the determining second recommendation information according to the first exercise device when executing the computer program, and includes:
determining at least one workout video of multimedia content associated with the first workout device;
acquiring the fitness information, and determining fitness intensity according to the fitness information;
selecting a recommended video from the at least one fitness video according to the fitness intensity, and sending summary information of the recommended video serving as recommended content to the terminal, wherein the summary information represents the content of the recommended video.
In an embodiment, the processor is configured to execute the computer program, and when the number of the at least one exercise video is greater than a set number threshold, further perform:
determining screening parameters, the screening parameters including at least one of: a video playback record for the first exercise device and a second exercise device associated with the first exercise device;
correspondingly, the selecting a recommended video from the at least one fitness video according to the fitness intensity comprises:
the at least one candidate video is selected from the at least one body-building video according to the body-building intensity;
and selecting the recommended video from the at least one candidate video according to the screening parameters.
In one embodiment, the processor, when executing the computer program, further performs, when the screening parameter includes the second exercise device:
when the image data are determined to comprise at least two fitness devices, generating a selection request according to device information of the two fitness devices, and sending the selection request to the terminal;
and receiving a selection instruction which is sent by a terminal and responds to the selection request, and selecting the first fitness device and the second fitness device from the at least two fitness devices according to the selection instruction.
In an embodiment, the processor is configured to execute the computer program, and when the recommended video includes at least two recommended videos, further perform:
obtaining an operation record of the user for each recommended video, wherein the operation record at least comprises one of the following: playing times, comment times and sharing times;
for each recommended video, determining a recommended value according to the weight value corresponding to each record type and the operation record;
and sequencing the at least two recommended videos according to the recommended value of each recommended video.
Fig. 9 is a schematic structural diagram of an information recommendation apparatus according to a fourth embodiment of the present application, where the information recommendation apparatus shown in fig. 9 includes: at least one processor 901 and memory 902. The various components of the information recommendation device are coupled together by a bus system 903. It is understood that the bus system 903 is used to enable communications among the components.
It will be appreciated that the memory 902 can be either volatile memory or nonvolatile memory, and can include both volatile and nonvolatile memory. Among them, the nonvolatile Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a magnetic random access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Compact Disc Read-Only Memory (CD-ROM); the magnetic surface storage may be disk storage or tape storage. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), Enhanced Synchronous Dynamic Random Access Memory (Enhanced DRAM), Synchronous Dynamic Random Access Memory (SLDRAM), Direct Memory (DRmb Access), and Random Access Memory (DRAM). The memory 902 described in embodiments herein is intended to comprise, without being limited to, these and any other suitable types of memory.
The memory 902 in the embodiment of the present application is used to store various types of data to support the operation of the information recommendation device of the fourth embodiment.
The method disclosed in the embodiments of the present application may be applied to the processor 901, or implemented by the processor 901. The processor 901 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be implemented by integrated logic circuits of hardware or instructions in the form of software in the processor 901. The Processor 901 may be a general purpose Processor, a Digital Signal Processor (DSP), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The processor 901 may implement or perform the methods, steps and logic blocks disclosed in the embodiments of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules may be located in a storage medium located in the memory 902, and the processor 901 reads the information in the memory 902 and performs the steps of the aforementioned methods in combination with its hardware.
In an exemplary embodiment, the information recommendation Device of the fourth embodiment can be implemented by one or more Application Specific Integrated Circuits (ASICs), DSPs, Programmable Logic Devices (PLDs), Complex Programmable Logic Devices (CPLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors (gpus), controllers, Micro Controllers (MCUs), microprocessors (microprocessors), or other electronic components, for performing the foregoing methods.
EXAMPLE five
In an exemplary embodiment, the present application further provides a storage medium, i.e., a computer-readable storage medium, such as a memory 902, including a computer program, which can be executed by a processor 901 in an information recommendation device to implement the steps of the foregoing method. The computer readable storage medium may be Memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface Memory, optical disk, or CD-ROM.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, performs:
receiving image data sent by a terminal; the image data includes a first exercise device;
determining whether the control type of the first exercise device is a specified control type; wherein the first exercise device of the specified control type is used to set an exercise intensity for a user;
when the control type of the first body-building device is a designated control type, determining first recommendation information according to body-building information of the user corresponding to the terminal, so that the first body-building device sets corresponding exercise intensity based on the first recommendation information; the fitness information at least comprises: historical fitness records and physical status indicators;
when the control type of the first body-building device is not the designated control type, determining second recommendation information according to the first body-building device; the second recommendation information is used for displaying the operation mode of the first body-building device through the terminal.
The above descriptions of the embodiments of the information recommendation apparatus and the computer-readable storage medium are similar to the descriptions of the above method embodiments, and have similar advantageous effects to the method embodiments. For technical details not disclosed in the embodiments of the information recommendation device and the computer-readable storage medium of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (9)

1. An information recommendation method, characterized in that the method comprises:
receiving image data sent by a terminal; the image data includes a first exercise device;
determining whether the control type of the first exercise device is a specified control type; wherein the first exercise device of the specified control type is used to set an exercise intensity for a user;
when the control type of the first body-building device is a designated control type, determining first recommendation information according to body-building information of the user corresponding to the terminal, so that the first body-building device sets corresponding exercise intensity based on the first recommendation information; the fitness information at least comprises: historical fitness records and physical status indicators; wherein the physical state index is used for reflecting the current physical state of the user;
when the control type of the first fitness device is not the designated control type, determining second recommendation information according to the first fitness device; the second recommendation information is used for displaying the operation mode of the first fitness device corresponding to the fitness intensity through the terminal;
wherein the determining second recommendation information according to the first exercise device comprises: determining an associated fitness video from the first fitness device; determining second recommendation information from the associated fitness video based on the fitness information;
the determining whether the control type of the first exercise device is a specified control type comprises: matching data corresponding to the first fitness device in the image data with materials in a set picture library, and determining target materials matched with the first fitness device; determining material information of the target material, and determining whether the control type of the first body-building device is a designated control type according to the material information, wherein the material information represents the control type of the body-building device corresponding to the target material.
2. The method according to claim 1, wherein the determining the first recommendation information according to the fitness information of the user corresponding to the terminal comprises:
acquiring a current fitness plan of the user;
determining fitness intensity and fitness duration according to the fitness information and the fitness plan; and determining the fitness intensity and the fitness duration as first recommendation information.
3. The method of claim 1, wherein determining second recommendation information based on the first exercise device comprises:
determining at least one workout video of multimedia content associated with the first workout device;
determining fitness intensity according to the fitness information;
selecting a recommended video from the at least one fitness video according to the fitness intensity, and sending summary information of the recommended video serving as recommended content to the terminal, wherein the summary information represents the content of the recommended video.
4. The method of claim 3, wherein when the number of the at least one workout video is greater than a set number threshold, the method further comprises:
determining screening parameters, the screening parameters including at least one of: a video playback record for the first exercise device and a second exercise device associated with the first exercise device;
correspondingly, the selecting a recommended video from the at least one fitness video according to the fitness intensity comprises:
the at least one candidate video is selected from the at least one body-building video according to the body-building intensity;
and selecting the recommended video from the at least one candidate video according to the screening parameters.
5. The method of claim 4, wherein when the screening parameter comprises the second exercise device, the method further comprises:
when the image data are determined to comprise at least two fitness devices, generating a selection request according to device information of the two fitness devices, and sending the selection request to the terminal;
and receiving a selection instruction which is sent by a terminal and responds to the selection request, and selecting the first fitness device and the second fitness device from the at least two fitness devices according to the selection instruction.
6. The method of claim 3, wherein when the recommended video comprises at least two recommended videos, the method further comprises:
obtaining an operation record of the user for each recommended video, wherein the operation record at least comprises one of the following: playing times, comment times and sharing times;
for each recommended video, determining a recommended value according to the weight value corresponding to each record type and the operation record;
and sequencing the at least two recommended videos according to the recommended value of each recommended video.
7. An information recommendation apparatus, characterized in that the apparatus comprises: the device comprises a receiving module, a type determining module, a first recommending module and a second recommending module; wherein the content of the first and second substances,
the receiving module is used for receiving the image data sent by the terminal; the image data includes a first exercise device;
the type determining module is used for determining whether the control type of the first body-building device is a designated control type; wherein the first exercise device of the specified control type is used to set an exercise intensity for a user;
the first recommending module is used for determining first recommending information according to the body building information of the user corresponding to the terminal when the control type of the first body building device is a designated control type, so that the first body building device sets corresponding exercise intensity based on the first recommending information; the fitness information at least comprises: historical fitness records and physical status indicators; wherein the physical state index is used for reflecting the current physical state of the user;
the second recommending module is used for determining second recommending information according to the first body-building device when the control type of the first body-building device is not the designated control type; the second recommendation information is used for displaying the operation mode of the first fitness device corresponding to the fitness intensity through the terminal;
the second recommending module is further used for determining a relevant fitness video according to the first fitness device; determining second recommendation information from the associated fitness video based on the fitness information;
the type determining module is further configured to match data corresponding to the first fitness device in the image data with materials in a set photo library, and determine target materials matched with the first fitness device; determining material information of the target material, and determining whether the control type of the first body-building device is a designated control type according to the material information, wherein the material information represents the control type of the body-building device corresponding to the target material.
8. An information recommendation apparatus characterized by comprising: a processor and a memory for storing a computer program operable on the processor, wherein the processor is configured to perform the steps of the information recommendation method of any of claims 1 to 6 when executing the computer program.
9. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of the information recommendation method according to any one of claims 1 to 6.
CN201811103448.0A 2018-09-20 2018-09-20 Information recommendation method and device and storage medium Active CN109284402B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811103448.0A CN109284402B (en) 2018-09-20 2018-09-20 Information recommendation method and device and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811103448.0A CN109284402B (en) 2018-09-20 2018-09-20 Information recommendation method and device and storage medium

Publications (2)

Publication Number Publication Date
CN109284402A CN109284402A (en) 2019-01-29
CN109284402B true CN109284402B (en) 2021-06-29

Family

ID=65181268

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811103448.0A Active CN109284402B (en) 2018-09-20 2018-09-20 Information recommendation method and device and storage medium

Country Status (1)

Country Link
CN (1) CN109284402B (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110418204B (en) * 2019-07-18 2022-11-04 平安科技（深圳）有限公司 Video recommendation method, device, equipment and storage medium based on micro expression
CN112395458A (en) * 2019-08-13 2021-02-23 必艾奇亚洲有限公司 Video course recommendation system and video course recommendation method for fitness equipment
CN113596590B (en) * 2020-04-30 2022-08-26 聚好看科技股份有限公司 Display device and play control method
WO2021032092A1 (en) 2019-08-18 2021-02-25 聚好看科技股份有限公司 Display device
CN111639232A (en) * 2020-06-01 2020-09-08 腾讯科技（深圳）有限公司 Resource recommendation method and device, storage medium and electronic equipment
CN113886674A (en) * 2020-07-01 2022-01-04 北京达佳互联信息技术有限公司 Resource recommendation method and device, electronic equipment and storage medium
CN112365954A (en) * 2020-10-26 2021-02-12 埃欧健身管理(上海)有限公司 Method and equipment for dynamically adjusting fitness scheme
CN112437350A (en) * 2020-11-10 2021-03-02 深圳Tcl新技术有限公司 Video playing method and device, intelligent equipment and computer readable storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105376315A (en) * 2015-11-19 2016-03-02 韶关学院 Body-building system based on two-dimension code and image recognition technology and use method thereof
CN105678064A (en) * 2015-12-31 2016-06-15 小米科技有限责任公司 Fitness scheme recommending method and device
CN106055873A (en) * 2016-05-20 2016-10-26 北京旷视科技有限公司 Fitness auxiliary method and apparatus based on image recognition
CN106530055A (en) * 2016-11-11 2017-03-22 厦门钢宇工业有限公司 Body-building method and body-building system
CN107480458A (en) * 2017-08-23 2017-12-15 合肥龙图腾信息技术有限公司 Fitness program commending system and its method based on stature change identification

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106878355A (en) * 2015-12-11 2017-06-20 腾讯科技（深圳）有限公司 A kind of information recommendation method and device
US20170343375A1 (en) * 2016-05-31 2017-11-30 GM Global Technology Operations LLC Systems to dynamically guide a user to an autonomous-driving vehicle pick-up location by augmented-reality walking directions
US10218898B2 (en) * 2016-09-09 2019-02-26 International Business Machines Corporation Automated group photograph composition
CN106693307B (en) * 2017-01-24 2019-08-09 深圳翎云思创网络科技有限公司 A kind of information interaction system and method for fitness equipment
CN207545785U (en) * 2017-11-09 2018-06-29 重庆勤鸟圈科技有限公司 User movement data gathering system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105376315A (en) * 2015-11-19 2016-03-02 韶关学院 Body-building system based on two-dimension code and image recognition technology and use method thereof
CN105678064A (en) * 2015-12-31 2016-06-15 小米科技有限责任公司 Fitness scheme recommending method and device
CN106055873A (en) * 2016-05-20 2016-10-26 北京旷视科技有限公司 Fitness auxiliary method and apparatus based on image recognition
CN106530055A (en) * 2016-11-11 2017-03-22 厦门钢宇工业有限公司 Body-building method and body-building system
CN107480458A (en) * 2017-08-23 2017-12-15 合肥龙图腾信息技术有限公司 Fitness program commending system and its method based on stature change identification

Also Published As

Publication number Publication date
CN109284402A (en) 2019-01-29

Similar Documents

Publication Publication Date Title
CN109284402B (en) Information recommendation method and device and storage medium
US11497980B2 (en) Reflective video display apparatus for interactive training and demonstration and methods of using same
US11883732B2 (en) Reflective video display apparatus for interactive training and demonstration and methods of using same
KR20200025290A (en) System and method for analyzing exercise posture
CA2854001C (en) Dynamic exercise content
CN105903157A (en) Electronic coach realization method and system
WO2021000708A1 (en) Fitness teaching method and apparatus, electronic device and storage medium
JP2009213782A (en) Exercise supporting device, exercise supporting system, exercise supporting method and computer program
FR2725376A1 (en) SYSTEM FOR PROGRAMMING WORKOUTS ON GYMNASTICS APPARATUS AND MACHINES
KR101883332B1 (en) Service providing apparatus and method for personal training adapted to user
CN112702521B (en) Image shooting method and device, electronic equipment and computer readable storage medium
EP3786971A1 (en) Advancement manager in a handheld user device
CN112672208B (en) Video playing method, device, electronic equipment, server and system
US20230021945A1 (en) Systems and methods for dynamically generating exercise playlist
US11654332B2 (en) Systems and methods for personalized exercise protocols and tracking thereof
TWI693090B (en) Information transmission and collection device combined with sports equipment and sports equipment
JP2009034360A (en) Training system, and apparatus for the same
CN110149475B (en) Image shooting method and device, electronic device, storage medium and computer equipment
KR20170100182A (en) Sportainment system
KR20230100558A (en) The method of providing a moving image to guide exercise and the apparatus comprising thereof
KR20230100557A (en) The method of providing a moving image to guide exercise and the apparatus comprising thereof
US20220139253A1 (en) Guidance system and method for action postures
KR20170100335A (en) System and method for providing realtime exercise prescription service
CN113534943A (en) Method and equipment for judging fitness site
KR101469101B1 (en) Remote login client, mobile device, remote login server, remote login method using visual code

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant