Intelligent playing method and apparatus based on preference feedback

US11017010B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11017010-B2
Application numberUS-201715856704-A
CountryUS
Kind codeB2
Filing dateDec 28, 2017
Priority dateNov 16, 2017
Publication dateMay 25, 2021
Grant dateMay 25, 2021

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  5. First independent claim

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Abstract

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The embodiments of the disclosure disclose an intelligent playing method and apparatus based on preference feedback. An embodiment of the method comprises: receiving voice feedback on currently played multimedia from a user; analyzing a user intention based on the voice feedback; calculating, in response to the user intention indicating updating a currently played multimedia list, a similarity between multimedia in a multimedia database and the current multimedia; and updating the currently played multimedia list based on the voice feedback and the similarity. The embodiment improves the quality and pertinence in playing multimedia.

First claim

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What is claimed is: 1. An intelligent playing method based on preference feedback, the method comprising: receiving voice feedback on currently played multimedia from a user; obtaining a precondition for the voice feedback, wherein the voice feedback comprises positive feedback and negative feedback, and the precondition refers to a playing instruction for triggering playing of current multimedia, and comprises random-based play, multimedia-based on-demand play, leading-author-based on-demand play, tag-based on-demand play, and list-based on-demand play; analyzing a user intention based on the voice feedback and the precondition comprising the random-based play, multimedia-based on-demand play, leading-author-based on-demand play, tag-based on-demand play, and list-based on-demand play; calculating, in response to the user intention indicating updating a currently played multimedia list, a similarity between multimedia in a multimedia database and the currently played multimedia; and updating the currently played multimedia list based on the voice feedback and the similarity; wherein the method is performed by at least one processor; and wherein the updating the currently played multimedia list based on the voice feedback and the similarity comprises: updating the currently played multimedia list based on the voice feedback, the similarity, and the precondition comprising the random-based play, multimedia-based on-demand play, leading-author-based on demand play, tag-based on-demand play, and list-based on-demand play; wherein the method further comprises: modifying, in response to the user intention indicating modifying the currently played multimedia list, the currently played multimedia list based on the voice feedback and the precondition; and/or switching, in response to the user intention indicating deleting the current multimedia, to next multimedia and deleting multimedia hit by the negative feedback from the currently played multimedia list; wherein the modifying, in response to the user intention indicating modifying the currently played multimedia list, the currently played multimedia list comprises: modifying, in response to the negative feedback being negative feedback on a leading author of multimedia and the precondition being the multimedia-based on-demand play, current multimedia and follow-up multimedia in the currently played multimedia list using a preset number of popular multimedia by another leading author and of the same name as the multimedia hit by the negative feedback in the multimedia database, and deleting the multimedia hit by the negative feedback from the currently played multimedia list; modifying, in response to the negative feedback being negative feedback on a leading author of multimedia and the precondition being the random-based play or the leading-author-based on-demand play, the current multimedia and the follow-up multimedia in the currently played multimedia list using a preset number of popular multimedia by a leading author other than the leading author involved in the negative feedback in the multimedia database, and deleting multimedia hit by the leading author involved in the negative feedback from the currently played multimedia list; and modifying, in response to the negative feedback being negative feedback on a multimedia tag and the precondition being the leading-author-based on-demand play, the current multimedia and the follow-up multimedia in the currently played multimedia list using a preset number of popular multimedia having a tag of a current leading author and different from the multimedia tag involved in the negative feedback in the multimedia database, and deleting the multimedia hit by the multimedia tag involved in the negative feedback from the currently played multimedia list. 2. The method according to claim 1 , wherein the updating the currently played multimedia list based on the voice feedback and the similarity comprises: ordering, in response to the voice feedback being the positive feedback, the multimedia in the multimedia database in a descending order based on the similarity to obtain a positive ranking list, and updating the currently played multimedia list using a preset number of popular multimedia in the positive ranking list based on the positive feedback; and ordering, in response to the voice feedback being the negative feedback, the multimedia in the multimedia database in an ascending order based on the similarity to obtain a negative ranking list, and updating the currently played multimedia list using a preset number of popular multimedia in the negative ranking list based on the negative feedback. 3. The method according to claim 1 , wherein the updating the currently played multimedia list based on the voice feedback, the precondition and the similarity comprises: ordering, in response to the voice feedback being the positive feedback, the multimedia in the multimedia database in a descending order based on the similarity to obtain a positive ranking list, and updating the currently played multimedia list using a preset number of popular multimedia in the positive ranking list based on the positive feedback and the precondition; and ordering, in response to the voice feedback being the negative feedback, the multimedia in the multimedia database in an ascending order based on the similarity to obtain a negative ranking list, and updating the currently played multimedia list using a preset number of popular multimedia in the negative ranking list based on the negative feedback and the precondition. 4. The method according to claim 3 , wherein the updating the currently played multimedia list using a preset number of popular multimedia in the positive ranking list based on the positive feedback and the precondition comprises: updating, in response to the positive feedback being positive feedback on multimedia or a leading author of multimedia and the precondition being the random-based play, the follow-up multimedia in the currently played multimedia list using the preset number of popular multimedia in the positive ranking list; updating, in response to the positive feedback being positive feedback on a multimedia tag and the precondition being the random-based play, the follow-up multimedia in the currently played multimedia list using a preset number of popular multimedia having a tag identical to a positive feedback tag in the positive ranking list; and updating, in response to the positive feedback being positive feedback on the multimedia tag and the precondition being the leading-author-based on-demand play, the follow-up multimedia in the currently played multimedia list preferentially using a preset number of popular multimedia by a current leading author and having a tag identical to the positive feedback tag in the positive ranking list. 5. The method according to claim 3 , wherein the updating the currently played multimedia list using a preset number of popular multimedia in the negative ranking list based on the negative feedback and the precondition comprises: updating, in response to the negative feedback being negative feedback on multimedia and the precondition being the random-based play or the multimedia-based on-demand play, the current multimedia and the follow-up multimedia in the currently played multimedia list using the preset number of popular multimedia in the negative ranking list, and deleting the multimedia hit by the negative feedback from the currently played multimedia list; and updating, in response to the negative feedback being negative feedback on a multimedia tag and the precondition being the random-based play or the tag-based on-demand play, the current multimedia and the follow-up multimedia in the currently played multimedia list using a preset number of popular multimedia ha

Assignees

Inventors

Classifications

  • G06F3/167Primary

    Audio in a user interface, e.g. using voice commands for navigating, audio feedback · CPC title

  • Filtering based on additional data, e.g. user or group profiles · CPC title

  • Administration of user profiles, e.g. generation, initialization, adaptation or distribution · CPC title

  • by the use of playlists · CPC title

  • using biological or physiological data of a human being, e.g. blood pressure, facial expression, gestures · CPC title

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What does patent US11017010B2 cover?
The embodiments of the disclosure disclose an intelligent playing method and apparatus based on preference feedback. An embodiment of the method comprises: receiving voice feedback on currently played multimedia from a user; analyzing a user intention based on the voice feedback; calculating, in response to the user intention indicating updating a currently played multimedia list, a similarity …
Who is the assignee on this patent?
Baidu online network technology beijing co ltd
What technology area does this patent fall under?
Primary CPC classification G06F3/167. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 25 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).