Personalized pushing method and device

By obtaining multi-dimensional vital sign data from smart audio-visual devices and inferring user preference information, the problem of inaccurate personalized push in existing technologies is solved, and more accurate personalized content recommendations are achieved.

CN120670676APending Publication Date: 2025-09-19BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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Patent Information

Application Number
CN202410316703.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-03-19
Publication Date
2025-09-19

AI Technical Summary

Technical Problem

Existing intelligent audio-visual devices only collect a single piece of information about users' preferences for audio-visual content, resulting in low accuracy in personalized push notifications.

Method used

By obtaining multi-dimensional vital sign data of the target object when receiving audio-visual content, such as heart rate, body surface temperature, blood pressure and arm movements, preference information for audio-visual content is inferred based on these vital sign data and personalized push is performed.

Benefits of technology

The accuracy of personalized push notifications is improved, and preference information is calculated through multi-dimensional real-life body reaction data, which enhances the pertinence and fun of recommendations.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a personalized pushing method and device. The method comprises the steps that feedback information of a target object when the target object receives at least one piece of audio-visual content is acquired; wherein the feedback information comprises sign data of the target object for the at least one piece of audio-visual content; on the basis of the physical sign data, determining preference information of the target object for audiovisual content; and pushing audiovisual content to the target object based on the preference information. According to the invention, the accuracy of personalized pushing of the audio-visual equipment can be improved.
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Description

Technical Field

[0001] The present disclosure relates to the field of computer technology, and in particular to a personalized push method, device, electronic device, and machine-readable storage medium. Background Art

[0002] Smart audio-visual devices can collect information about users' preferences for audio-visual content, determine which categories of audio-visual content users prefer, and provide personalized push notifications to users based on their preferences.

[0003] In the prior art, since the user's preference information for audio-visual content collected by the audio-visual device is relatively simple, the accuracy of the personalized push of information by the audio-visual device to the user is not high. Summary of the Invention

[0004] The present disclosure provides a personalized push method, the method comprising:

[0005] Acquiring feedback information from a target subject when receiving at least one audio-visual content; wherein the feedback information includes vital sign data of the target subject in response to the at least one audio-visual content;

[0006] Determining the target subject's preference information for audio-visual content based on the physical sign data;

[0007] Based on the preference information, audio-visual content is pushed to the target object.

[0008] In this embodiment, the vital sign data includes one or more combinations of the following data:

[0009] Heart rate; skin temperature; blood pressure; arm movements.

[0010] In this embodiment, determining the target object's preference information for audio-visual content based on the vital sign data includes:

[0011] Based on the physical sign data, calculating the target subject's preference score for each of the at least one audio-visual content; wherein the preference score is used to indicate the target subject's preference for the audio-visual content;

[0012] The at least one audio-visual content is sorted from high to low according to the preference score, and the audio-visual content ranked first by a preset number of places is used as the preference information of the target object.

[0013] In this embodiment, determining the target object's preference information for audio-visual content based on the vital sign data includes:

[0014] Acquiring target vital sign data specified in the vital sign data;

[0015] Based on the target vital sign data, the at least one audio-visual content is sorted from high to low according to the value of the target vital sign data, and the audio-visual content ranked first by a preset number of digits is used as the preference information of the target object.

[0016] In this embodiment, the feedback information further includes user ratings and viewing data for the audio-visual content; wherein the viewing data at least includes the number of views and viewing duration for the audio-visual content;

[0017] The determining, based on the vital sign data, the target object's preference information for audio-visual content includes:

[0018] Based on the physical sign data, the user ratings and / or the viewing data, preference information of the target object for audio-visual content is determined.

[0019] In this embodiment, calculating the target subject's preference score for each of the at least one audio-visual content based on the physical sign data includes:

[0020] The target subject's vital sign data is compared with the target subject's vital sign data in a resting state, and based on the comparison result, the target subject's preference score for each audio-visual content in the at least one audio-visual content is calculated.

[0021] In this embodiment, calculating the target subject's preference score for each of the at least one audio-visual content based on the physical sign data includes:

[0022] Based on the physical sign data corresponding to each audio-visual content in the at least one audio-visual content, determining a physical sign score value corresponding to each physical sign data in a preset correspondence relationship;

[0023] According to the weight values ​​corresponding to the various physical sign data, weighted calculation is performed on the physical sign score values ​​corresponding to the various physical sign data to obtain the preference score of the target object for each audio-visual content in the at least one audio-visual content.

[0024] The present disclosure also provides a personalized push device, the device comprising:

[0025] an acquiring unit, configured to acquire feedback information of a target object when receiving at least one audio-visual content; wherein the feedback information includes vital sign data of the target object with respect to the at least one audio-visual content;

[0026] a calculation unit, configured to determine preference information of the target subject for audio-visual content based on the physical sign data;

[0027] A pushing unit is configured to push audio-visual content to the target object based on the preference information.

[0028] The present disclosure further provides an electronic device, comprising a communication interface, a processor, a memory, and a bus, wherein the communication interface, the processor, and the memory are interconnected via the bus;

[0029] The memory stores machine-readable instructions, and the processor executes the personalized push method by calling the machine-readable instructions.

[0030] The present disclosure also provides a machine-readable storage medium, which stores machine-readable instructions. When the machine-readable instructions are called and executed by a processor, the personalized push method is implemented.

[0031] The technical solution provided by the present disclosure may at least have the following beneficial effects:

[0032] Through the above embodiments, the audio-visual device can obtain feedback information from the target subject when receiving at least one audio-visual content. This feedback information includes the target subject's vital sign data for the at least one audio-visual content. Based on the vital sign data, the audio-visual device can determine the target subject's preference information for the audio-visual content and, based on this preference information, push the audio-visual content to the target subject. Because this vital sign data includes multi-dimensional vital sign data, and this vital sign data represents the target subject's actual physical reaction data when receiving the audio-visual content, the preference information calculated based on this multi-dimensional actual feedback information is also more accurate, thereby improving the accuracy of personalized push notifications. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in this application. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0034] Figure 1 This is a scenario diagram of a personalized push method shown in an exemplary embodiment.

[0035] Figure 2 This is a flowchart of a personalized push method shown in an exemplary embodiment.

[0036] Figure 3 This is a hardware structure diagram of an electronic device in which a personalized push device is located, showing an exemplary embodiment.

[0037] Figure 4It is a block diagram of a personalized push device shown in an exemplary embodiment. DETAILED DESCRIPTION

[0038] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

[0039] It should be noted that in other embodiments, the steps of the corresponding method are not necessarily performed in the order shown and described in this disclosure. In some other embodiments, the method may include more or fewer steps than those described in this disclosure. In addition, a single step described in this disclosure may be broken down into multiple steps for description in other embodiments; and multiple steps described in this disclosure may be combined into a single step for description in other embodiments.

[0040] Smart audio-visual devices can recommend personalized content to users based on their preferences. Generally speaking, smart audio-visual devices collect information about users' preferences for audio-visual content and, based on this information, determine the user's preferences for various categories of audio-visual content. Based on this information, the audio-visual devices can determine which categories of audio-visual content the user prefers and, based on this preference, deliver personalized content recommendations to the user.

[0041] In the prior art, audio-visual devices collect user preference information for audio-visual content, which is usually achieved by users actively submitting rating information for each audio-visual content; or by using users' historical viewing time or number of views for each audio-visual content.

[0042] It can be seen that since this collection method is too passive and single, the collected user preference information for audio-visual content is also relatively single. The user preferences calculated based on this are not accurate enough, which leads to low accuracy of personalized push of audio-visual equipment to users.

[0043] The personalized push method provided by the present disclosure is described below through specific embodiments and in combination with specific application scenarios. The method determines the target subject's preference information for audio-visual content played by the audio-visual device based on the target subject's vital sign data, and pushes the audio-visual content to the target subject based on the preference information.

[0044] During implementation, feedback information of the target object when receiving at least one audio-visual content may be obtained; wherein the feedback information includes vital sign data of the target object with respect to the at least one audio-visual content;

[0045] Furthermore, preference information of the target object for audio-visual content may be determined based on the physical sign data;

[0046] Furthermore, audio-visual content may be pushed to the target object based on the preference information.

[0047] Through the above embodiments, the audio-visual device can obtain feedback information from the target subject when receiving at least one audio-visual content. This feedback information includes the target subject's vital sign data for the at least one audio-visual content. Based on the vital sign data, the audio-visual device can determine the target subject's preference information for the audio-visual content and, based on this preference information, push the audio-visual content to the target subject. Because this vital sign data includes multi-dimensional vital sign data, and this vital sign data represents the target subject's actual physical reaction data when receiving the audio-visual content, the preference information calculated based on this multi-dimensional actual feedback information is also more accurate, thereby improving the accuracy of personalized push notifications.

[0048] The present disclosure is described below through specific embodiments and in combination with specific application scenarios.

[0049] See Figure 1 , Figure 1 This is a scene diagram of a personalized push method shown in an exemplary embodiment. Figure 1 As shown, the method can be executed by the audio-visual device, wherein the specific execution subject can be software, for example, the software installed in the audio-visual device; or it can be hardware, for example, the smart push hardware connected to the audio-visual device, which is not limited in this disclosure.

[0050] When the target object receives the audio-visual content played by the audio-visual device, the audio-visual device can periodically obtain feedback information of the target object on at least one audio-visual content played by the audio-visual device, which is collected by the wearable smart hardware worn by the target object. The feedback information may include the target object's vital sign data for the at least one audio-visual content. Based on the vital sign data, the target object's preference information for the audio-visual content played by the audio-visual device can be determined. Based on the preference information, audio-visual content can be pushed to the target object on the audio-visual device.

[0051] The vital sign data may include multi-dimensional vital sign data, such as heart rate, body surface temperature, blood pressure, arm movement, etc. The audio-visual device may include a smart TV.

[0052] Furthermore, the audio-visual device can calculate the target object's preference score for each audio-visual content in at least one audio-visual content based on the vital sign data; the preference score can be used to indicate the target object's preference level for the audio-visual content, and the audio-visual device can sort the at least one audio-visual content from high to low according to the preference score, and use the audio-visual content ranked in the front by a preset number of places as the target object's preference information.

[0053] The audio-visual device can also obtain target vital sign data specified in the vital sign data, and based on the target vital sign data, sort at least one audio-visual content from high to low according to the value of the target vital sign data, and use the audio-visual content ranked in the front preset position as the preference information of the target object.

[0054] Furthermore, the audio-visual device may compare the target subject's vital sign data with the target subject's vital sign data in a resting state, and calculate the target subject's preference score for each audio-visual content in the at least one audio-visual content based on the comparison result.

[0055] The audio-visual device can also determine the physical sign score values ​​corresponding to each physical sign data in the preset correspondence relationship based on the physical sign data corresponding to each audio-visual content in the at least one audio-visual content, and can perform weighted calculation on the physical sign score values ​​corresponding to each physical sign data according to the weight values ​​corresponding to each physical sign data to obtain the target object's preference score for each audio-visual content in the at least one audio-visual content.

[0056] In addition, the feedback information may also include user ratings and viewing data for the audio-visual content, and the viewing data may at least include the number of views and viewing duration of the audio-visual content; the audio-visual device may calculate the target object's preference information for the audio-visual content played by the audio-visual device based on vital sign data, as well as user ratings and / or viewing data.

[0057] See Figure 2 , Figure 2 This is a flowchart of a personalized push method shown in an exemplary embodiment.

[0058] like Figure 2 As shown, the above audio-visual device can perform the following steps:

[0059] Step 202 : Acquire feedback information of the target subject when receiving at least one audio-visual content; wherein the feedback information includes vital sign data of the target subject in response to the at least one audio-visual content.

[0060] The target object may refer to a user watching at least one audio-visual content played by an audio-visual device. The audio-visual device may include a smart TV. The target object may refer to a target user watching at least one audio-visual content played by the smart TV.

[0061] The specific content of the feedback information can be set according to actual needs and is not limited in this disclosure. For example, the feedback information may include the user rating of the audiovisual content by the target subject, the viewing time and number of times the target subject has viewed the audiovisual content, and physical sign data used to represent the target subject's actual likes and dislikes.

[0062] When a target subject watches audio-visual content played by an audio-visual device, he or she will usually have a real like or dislike reaction to the audio-visual content, and the like or dislike reaction is usually represented in the form of physical sign data.

[0063] For example, when the target subject generates high heart rate data or large arm movement amplitude, it can usually indicate that the target subject has a greater preference for the audio-visual content being watched.

[0064] For another example, when the target subject's heart rate is an average heart rate or the amplitude of the arm movement is small, it can usually indicate that the target subject has no preference for the audio-visual content being watched.

[0065] The specific form of the audio-visual device can be set according to actual application, and this disclosure does not limit this. For example, the audio-visual device can be a smart TV, a smart speaker, etc.

[0066] The specific content of the vital sign data can be set according to actual needs, and this disclosure does not limit this.

[0067] In one embodiment shown, the vital sign data may include one or more combinations of the following data: heart rate; body surface temperature; blood pressure; and arm movements.

[0068] Among them, when the target object is in an excited state, it usually shows a higher heart rate, higher body surface temperature, higher blood pressure, and larger arm movements; when the target object is in a non-excited state, it usually shows a stable heart rate, low body surface temperature, low blood pressure, and smaller arm movements.

[0069] Therefore, the vital sign data can represent the target subject's preference for the audio-visual content played by the audio-visual device.

[0070] In an illustrated embodiment, the audio-visual device may periodically obtain feedback information of the target object when watching at least one audio-visual content played by the audio-visual device.

[0071] The specific duration of this cycle can be set according to actual needs and is not limited in this disclosure.

[0072] For example, the duration may be one minute; the audiovisual device may obtain feedback information of the target object when watching at least one audiovisual content played by the audiovisual device every minute.

[0073] In one embodiment shown, the audio-visual device may periodically obtain feedback information of the target subject when watching at least one audio-visual content played by the audio-visual device, which is collected by the wearable intelligent hardware worn by the target subject.

[0074] The target object may wear wearable intelligent hardware that can periodically collect feedback information of the target object, and the audio-visual device may obtain the feedback information of the target object from the wearable intelligent hardware.

[0075] The specific form of the wearable smart hardware can be set according to the actual application scenario, and this disclosure does not limit this. For example, the wearable smart hardware may include a smart bracelet, a smart finger sleeve, etc.

[0076] In this way, the convenience of collecting vital sign data can be improved.

[0077] Step 204: Determine the target object's preference information for audio-visual content based on the vital sign data.

[0078] Since the vital sign data can represent the target subject's preference for audio-visual content, the target subject's preference information for the audio-visual content played by the audio-visual device can be determined based on the vital sign data.

[0079] Specifically, the audio-visual device may calculate the target subject's preference information for the audio-visual content played by the audio-visual device based on the vital sign data in the following two exemplary calculation methods:

[0080] Method 1: Based on the vital sign data, the preference score of the target object for each audio-visual content in the at least one audio-visual content is calculated; wherein the preference score is used to indicate the degree of preference of the target object for the audio-visual content; the at least one audio-visual content is sorted from high to low according to the preference score, and the audio-visual content ranked first by a preset number of digits is used as the preference information of the target object.

[0081] For example, the at least one audio-visual content mentioned above may include audio-visual content_1, audio-visual content_2 and audio-visual content_3. Based on the vital sign data_1 corresponding to the audio-visual content_1, it can be inferred that the preference score of the audio-visual content_1 is 60, based on the vital sign data_2 corresponding to the audio-visual content_2, it can be inferred that the preference score of the audio-visual content_2 is 80, and based on the vital sign data_3 corresponding to the audio-visual content_3, it can be inferred that the preference score of the audio-visual content_3 is 70; the audio-visual device can sort the three audio-visual contents from high to low according to the preference score, and the sorting result is: audio-visual content_2, audio-visual content_3 and audio-visual content_1. According to the sorting result, the audio-visual contents ranked in the first two positions, that is, audio-visual content_2 and audio-visual content_3, can be used as the preference information of the target object.

[0082] In this way, comprehensive consideration can be made based on multi-dimensional physical sign data, and the inferred preference information can be more accurate, which can improve the accuracy of personalized recommendations.

[0083] Method 2: Obtain target physical sign data specified in the physical sign data; based on the target physical sign data, sort at least one audio-visual content from high to low according to the value of the target physical sign data, and use the audio-visual content ranked in the front by a preset number of digits as the preference information of the target object.

[0084] For example, the at least one audio-visual content may include audio-visual content_1, audio-visual content_2, and audio-visual content_3. The audio-visual device may obtain the target vital sign data specified in the above vital sign data, for example, heart rate; the heart rate corresponding to the audio-visual content_1 may be 60, the heart rate corresponding to the audio-visual content_2 may be 80, and the heart rate corresponding to the audio-visual content_3 may be 100; based on this, the audio-visual device may sort the three audio-visual contents from high to low according to the heart rate values, and the sorting results are: audio-visual content_3, audio-visual content_2, and audio-visual content_1. According to the sorting results, the audio-visual contents ranked in the first two positions, that is, audio-visual content_3 and audio-visual content_2, may be used as the preference information of the target object.

[0085] In this way, it is possible to consider a single target vital sign data in the vital sign data and push audio-visual content with a higher value in the target vital sign data to the target object, thereby improving the pertinence and interest of personalized push.

[0086] The specific method for estimating the target object's preference score for each audio-visual content in at least one audio-visual content can be set according to actual needs, and this disclosure does not limit this.

[0087] In one embodiment shown, the audiovisual device may compare the target subject's vital sign data with the target subject's vital sign data in a resting state, and calculate the target subject's preference score for each audiovisual content in at least one audiovisual content based on the comparison result.

[0088] For example, the at least one audio-visual content may include audio-visual content_1 and audio-visual content_2, the vital sign data corresponding to the audio-visual content_1 may be vital sign data_11, and the vital sign data corresponding to the audio-visual content_2 may be vital sign data_21; in a resting state, the target object's vital sign data for audio-visual content_1 may be vital sign data_12, and the vital sign data for audio-visual content_2 may be vital sign data_22; the audio-visual device may compare the vital sign data_11 with the vital sign data_12, and determine the target object's preference score for audio-visual content_1 based on the comparison result; it may also compare the vital sign data_21 with the vital sign data_22, and determine the target object's preference score for audio-visual content_2 based on the comparison result.

[0089] In this way, the target object's preference for the audio-visual content can be determined based on changes in the target object's vital sign data when viewing the audio-visual content, thereby improving the accuracy of personalized push notifications.

[0090] In one embodiment shown, the audio-visual device can determine the physical sign score values ​​corresponding to each physical sign data in a preset correspondence relationship based on the physical sign data corresponding to each audio-visual content in at least one audio-visual content; and perform weighted calculation on the physical sign score values ​​corresponding to each physical sign data according to the weight values ​​corresponding to each physical sign data to obtain the target object's preference score for each audio-visual content in at least one audio-visual content.

[0091] For example, the at least one audio-visual content may include audio-visual content_1 and audio-visual content_2; the physical sign data corresponding to the audio-visual content_1 may be physical sign data_1, and the physical sign data corresponding to the audio-visual content_2 may be physical sign data_2; the audio-visual device may determine that the physical sign score value corresponding to the physical sign data_11 included in the physical sign data_1 is 50, and the physical sign score value corresponding to the physical sign data_12 included in the physical sign data_1 is 70, and the weight value corresponding to the physical sign data_11 may be 0.3, and the physical sign data_12 may be 0. The corresponding weight value can be 0.7, so the preference score for the audio-visual content_1 can be calculated to be 64; it can be determined that the physical sign score value corresponding to the physical sign data_21 contained in the physical sign data_2 is 8-=0, and the physical sign score value corresponding to the physical sign data_22 contained in the physical sign data_2 is 60. The weight value corresponding to the physical sign data_21 can be 0.3, and the weight value corresponding to the physical sign data_22 can be 0.7. Similarly to the above calculation method, the preference score for the audio-visual content_2 can be calculated to be 66.

[0092] In this way, the target object's preference score for audio-visual content can be calculated based on the actual proportion of vital sign data, thereby improving the accuracy of personalized push.

[0093] In one embodiment shown, the feedback information may also include user ratings and viewing data for the audio-visual content; wherein the viewing data includes at least the number of views and viewing duration of the audio-visual content; the audio-visual device may calculate the target object's preference information for the audio-visual content played by the audio-visual device based on the vital sign data, as well as the user ratings and / or viewing data.

[0094] The above-mentioned user rating may refer to the manual rating given by the target object to the audio-visual content, and the above-mentioned viewing data may include the number of views and viewing time of the audio-visual content; generally speaking, the higher the score given by the target object to the audio-visual content, the more preference the target object has for the audio-visual content, and the more times the target object has viewed the audio-visual content or the longer the viewing time, the more preference the target object has for the audio-visual content. Therefore, the target object's preference information for the audio-visual content played by the audio-visual device can also be calculated based on the user rating and viewing data.

[0095] For example, the at least one audio-visual content mentioned above may include audio-visual content_1 and audio-visual content_2. The user rating of the target object for the audio-visual content_1 may be user rating_1, and the viewing data for the audio-visual content_1 may be viewing data_1. The user rating of the audio-visual content_2 may be user rating_2, and the viewing data for the audio-visual content_2 may be viewing data_2. The audio-visual device may calculate the target object's preference information for the audio-visual content_1 played by the audio-visual device based on the vital sign data of the audio-visual content_1, as well as the user rating_1 and / or viewing data_1; the audio-visual device may calculate the target object's preference information for the audio-visual content_2 played by the audio-visual device based on the vital sign data of the audio-visual content_2, as well as the user rating_2 and / or viewing data_2.

[0096] The specific calculation method of the preference information can be set according to actual needs, and this disclosure does not limit this.

[0097] For example, the audio-visual device can determine the physical sign score values ​​corresponding to each physical sign data in the preset correspondence, as well as the score values ​​corresponding to the user score and / or viewing data; according to the weight values ​​corresponding to each physical sign data and the weight values ​​corresponding to the user score and / or viewing data, the score values ​​corresponding to each physical sign data and the user score and / or viewing data are weightedly calculated to obtain the target object's preference score for each audio-visual content in at least one audio-visual content.

[0098] For another example, the audio-visual device can determine the user rating and / or rating value corresponding to the audio-visual content and the viewing data in a preset correspondence, as well as the preference rating calculated based on the vital sign data corresponding to the audio-visual content; and perform a weighted calculation on the preference rating calculated based on the vital sign data and the rating value corresponding to the above-mentioned user rating and / or viewing data according to the weight values ​​corresponding to the user rating and / or viewing data, and the weight value corresponding to the preference rating calculated based on the vital sign data, to obtain the target object's preference rating for each audio-visual content in at least one audio-visual content.

[0099] Step 206: Push audio-visual content to the target object based on the preference information.

[0100] Based on the preference information determined by the above calculation, audio-visual content can be pushed to the target object. Specifically, the audio-visual content preferred by the target object can be pushed to the user interface of the audio-visual device, thereby improving the target object's usage experience.

[0101] Corresponding to the embodiment of the personalized push method, the present disclosure also provides an embodiment of a personalized push device.

[0102] See Figure 3 , Figure 3 This is a hardware structure diagram of an electronic device where a personalized push device is located, shown as an exemplary embodiment. At the hardware level, the device includes a processor 302, an internal bus 304, a network interface 306, a memory 308, and a non-volatile memory 310, and of course may also include hardware required for other services. One or more embodiments of the present disclosure can be implemented based on software, such as the processor 302 reading the corresponding computer program from the non-volatile memory 310 into the memory 308 and then running it. Of course, in addition to software implementation, one or more embodiments of the present disclosure do not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

[0103] See Figure 4 , Figure 4 This is a block diagram of a personalized push device shown in an exemplary embodiment. The personalized push device can be applied to Figure 3 The electronic device shown in the figure is used to implement the technical solution of the present disclosure. The above device may include:

[0104] The acquisition unit 402 is configured to acquire feedback information of a target subject when receiving at least one audio-visual content; wherein the feedback information includes vital sign data of the target subject in response to the at least one audio-visual content;

[0105] The calculation unit 404 is configured to determine the target subject's preference information for audio-visual content based on the physical sign data;

[0106] The push unit 406 is configured to push the audio-visual content to the target object based on the preference information.

[0107] In this embodiment, the above-mentioned vital sign data may include one or more combinations of the following data:

[0108] Heart rate; skin temperature; blood pressure; arm movements.

[0109] In this embodiment, the acquisition unit 402 may be specifically configured to:

[0110] Feedback information of a target object when receiving at least one audio-visual content is periodically obtained.

[0111] In this embodiment, the acquisition unit 402 may be specifically configured to:

[0112] Periodically obtain feedback information of the target object when receiving at least one audio-visual content, which is collected by the wearable intelligent hardware worn by the target object.

[0113] In this embodiment, the calculation unit 404 may be specifically configured to:

[0114] Based on the vital sign data, calculating the target subject's preference score for each of the at least one audio-visual content; wherein the preference score indicates the target subject's preference for the audio-visual content;

[0115] The at least one audio-visual content is sorted from high to low according to the preference score, and the audio-visual content ranked first by a preset number of places is used as the preference information of the target object.

[0116] In this embodiment, the calculation unit 404 may be specifically configured to:

[0117] Obtain target vital sign data specified in the above vital sign data;

[0118] Based on the target vital sign data, the at least one audio-visual content is sorted from high to low according to the value of the target vital sign data, and the audio-visual content ranked first by a preset number of digits is used as the preference information of the target object.

[0119] In this embodiment, the feedback information may further include user ratings and viewing data for the audio-visual content; wherein the viewing data may include at least the number of views and viewing duration of the audio-visual content;

[0120] The calculation unit 404 may be specifically configured to:

[0121] Based on the above-mentioned vital sign data, as well as the above-mentioned user ratings and / or the above-mentioned viewing data, the preference information of the above-mentioned target object for the audio-visual content played by the above-mentioned audio-visual device is calculated.

[0122] In this embodiment, the calculation unit 404 may be specifically configured to:

[0123] The target subject's vital sign data is compared with the target subject's vital sign data in a resting state, and based on the comparison result, the target subject's preference score for each of the at least one audio-visual content is calculated.

[0124] In this embodiment, the calculation unit 404 may be specifically configured to:

[0125] Based on the physical sign data corresponding to each audio-visual content in the at least one audio-visual content, determining a physical sign score value corresponding to each physical sign data in a preset correspondence relationship;

[0126] According to the weight values ​​corresponding to the above-mentioned various physical sign data, the physical sign score values ​​corresponding to the above-mentioned various physical sign data are weightedly calculated to obtain the preference score of the above-mentioned target object for each audio-visual content in the above-mentioned at least one audio-visual content.

[0127] In this embodiment, the audio-visual device may include a smart TV.

[0128] The implementation process of the functions and effects of each module in the device is specifically described in the implementation process of the corresponding steps in the method, which will not be repeated here.

[0129] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial description of the method embodiments. The device embodiments described above are only schematic, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the disclosed solution. A person of ordinary skill in the art can understand and implement it without making any creative efforts.

[0130] The systems, devices, or modules described in the embodiments may be implemented by computer chips or physical devices, or by products having certain functions. A typical implementation device is a computer, which may be in the form of a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.

[0131] In a typical configuration, a computer includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0132] Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0133] Computer-readable media include permanent and non-permanent, removable and non-removable media that can be used to store information using any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, disk storage, quantum memory, graphene-based storage media or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0134] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0135] The foregoing description describes specific embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0136] The terms used in one or more embodiments of the present disclosure are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of the present disclosure. The singular forms "a," "the," and "the" used in one or more embodiments of the present disclosure and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0137] It should be understood that although the terms first, second, third, etc. may be used to describe various information in one or more embodiments of the present disclosure, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of one or more embodiments of the present disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0138] The above description is merely a preferred embodiment of one or more embodiments of the present disclosure and is not intended to limit one or more embodiments of the present disclosure. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present disclosure shall be included in the scope of protection of one or more embodiments of the present disclosure.

[0139] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

Claims

1. A personalized push method, characterized in that: The method comprises: Acquiring feedback information from a target subject when receiving at least one audio-visual content; wherein the feedback information includes vital sign data of the target subject in response to the at least one audio-visual content; Determining the target subject's preference information for audio-visual content based on the physical sign data; Based on the preference information, audio-visual content is pushed to the target object.

2. The method according to claim 1, characterized in that The physical sign data includes one or more combinations of the following data: Heart rate; skin temperature; blood pressure; arm movements.

3. The method according to claim 1, characterized in that Determining the target subject's preference information for audio-visual content based on the vital sign data includes: Based on the physical sign data, calculating the target subject's preference score for each of the at least one audio-visual content; wherein the preference score is used to indicate the target subject's preference for the audio-visual content; The at least one audio-visual content is sorted from high to low according to the preference score, and the audio-visual content ranked first by a preset number of places is used as the preference information of the target object.

4. The method according to claim 1, wherein Determining the target subject's preference information for audio-visual content based on the vital sign data includes: Acquiring target vital sign data specified in the vital sign data; Based on the target vital sign data, the at least one audio-visual content is sorted from high to low according to the value of the target vital sign data, and the audio-visual content ranked first by a preset number of digits is used as the preference information of the target object.

5. The method according to claim 1, wherein The feedback information also includes user ratings and viewing data for the audio-visual content; wherein the viewing data at least includes the number of views and viewing duration for the audio-visual content; The determining, based on the vital sign data, the target object's preference information for audio-visual content includes: Based on the physical sign data, the user ratings and / or the viewing data, preference information of the target object for audio-visual content is determined.

6. The method according to claim 3, characterized in that Calculating the target subject's preference score for each of the at least one audio-visual content based on the physical sign data includes: The target subject's vital sign data is compared with the target subject's vital sign data in a resting state, and based on the comparison result, the target subject's preference score for each audio-visual content in the at least one audio-visual content is calculated.

7. The method according to claim 3, characterized in that Calculating the target subject's preference score for each of the at least one audio-visual content based on the physical sign data includes: Based on the physical sign data corresponding to each audio-visual content in the at least one audio-visual content, determining a physical sign score value corresponding to each physical sign data in a preset correspondence relationship; According to the weight values ​​corresponding to the various physical sign data, weighted calculation is performed on the physical sign score values ​​corresponding to the various physical sign data to obtain the preference score of the target object for each audio-visual content in the at least one audio-visual content.

8. A personalized push device, characterized in that: The device comprises: an acquiring unit, configured to acquire feedback information of a target subject when receiving at least one audio-visual content; wherein the feedback information includes vital sign data of the target subject in response to the at least one audio-visual content; a calculation unit, configured to determine preference information of the target subject for audio-visual content based on the physical sign data; A pushing unit is configured to push audio-visual content to the target object based on the preference information.

9. A user equipment, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor is configured to implement the method according to any one of claims 1 to 7.

10. A machine-readable storage medium, characterized in that The machine-readable storage medium stores machine-readable instructions, and when the machine-readable instructions are called and executed by a processor, the method according to any one of claims 1 to 7 is implemented.