Multimedia content online recommendation method and multimedia content online recommendation auxiliary method and apparatus
A technology of multimedia content and clustering algorithm, applied in the field of online recommendation of multimedia content, which can solve the problems of not being able to know the user's music preferences and poor music pertinence.
Inactive Publication Date: 2016-02-03
HISENSE
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[0003] The purpose of the embodiments of the present invention is to provide a method for online recommendation of multimedia content and its auxiliary method and device, which are used to solve the problem that the existing music playback application cannot know the user's music preference in a certain scene, and recommend online for the user. Music is less targeted
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[0028] The method for online recommendation of multimedia content and its auxiliary method and device provided by the present invention will be described in more detail below with reference to the accompanying drawings and embodiments.
[0029] Such as figure 1 As shown, the embodiment of the present invention provides a method for online recommendation of multimedia content, and its specific implementation is as follows:
[0030] Step 110: Obtain portrait tags of users who are online in the current period. The portrait tags of each user at least include the information of the multimedia content that the user listens to in the current period, and the information of each multimedia content includes at least the name and playing scene of the multimedia content.
[0031] Among them, the current period refers to the period in which the control terminal of the online recommendation of multimedia content obtains the user's portrait tag.
[0032] Among them, the multimedia content can be a pi...
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Embodiments of the invention disclose a multimedia content online recommendation method and a multimedia content online recommendation auxiliary method and apparatus. The method comprises: obtaining portrait labels of online users within a current cycle, wherein the portrait label of each user at least comprises information of multimedia content listened by the user within the current cycle, and the information of each piece of multimedia content at least comprises a name and a play scene of the multimedia content; obtaining a classification result of classification performed on the portrait labels of the users through a clustering algorithm; and online recommending multimedia content indicated by the information of multimedia content contained in similar portrait labels for the users. According to the method, each class is a group of users in most similar play scenes within the current cycle, so that the multimedia content indicated by the similar portrait labels can be online recommended for the users; and the multimedia content online recommended in the way better meets the demands of the scenes in which the users are located, so that the online recommendation of the multimedia content is more targeted.
Description
Technical field [0001] The present invention relates to the technical field of data mining, in particular to a method for online recommendation of multimedia content and its auxiliary method and device. Background technique [0002] Music is an important part of life. The user's scenes (such as work, rest, sports, travel, driving, square dancing, bars, etc.) greatly affect the demand for music. For example, at work, you may need light music to calm yourself down to stay focused; when you take a break after get off work, you may need soothing music to relax your mind and body in all directions. It can be seen that the music played in different scenes of the user is also different, that is, the playing scene of each piece of music is different. However, the existing music playing applications cannot know the user's music preferences in a certain scene, and the online recommendation of music for the user is less targeted. Summary of the invention [0003] The purpose of the embodim...
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IPC IPC(8): G06F17/30
CPCG06F16/435G06F16/951
Inventor 高雪松胡伟凤
Owner HISENSE