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Audio album recommendation method and system fusing multi-strategy recall data set

A recommendation method and recommendation system technology, applied in metadata audio data retrieval, audio data retrieval, electronic digital data processing, etc., can solve the problem of not being able to meet the promotion of new online audio albums, recommendation is the same, and new audio albums are not considered Promote the needs and other issues to achieve the effect of reasonable recommended content, improved user experience, and comprehensive recommended content

Pending Publication Date: 2020-02-11
上海麦克风文化传媒有限公司
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Problems solved by technology

In the existing audio album recommendation process, only user offline data or user real-time data are considered. Since user offline data considers the user's offline long-term hobby needs, the data can be considered from a global perspective, but the update speed is slow, and the user is not considered. The user’s real-time interest tendency, the user’s real-time interest tendency is taken into account, and the update speed is fast, which can quickly reflect the user’s real-time interest preference. There are audio albums online every day. The existing audio album recommendation process does not take into account the promotion needs of newly launched audio albums. Therefore, the existing audio album recommendations cannot fully and truly reflect the interests of users, nor can they meet the needs of promotion. Demand for new online audio albums

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  • Audio album recommendation method and system fusing multi-strategy recall data set
  • Audio album recommendation method and system fusing multi-strategy recall data set

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Embodiment Construction

[0057]Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0058] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this invention belongs. It should also be understood that terms, such as those defined in commonly used dictionaries, should be understood to have meanings consistent with the meanings in the con...

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Abstract

The invention discloses an audio album recommendation method and system fusing a multi-strategy recall data set, and the method comprises the steps: judging whether a user operation meets a recommendation triggering condition or not: recommending a preset audio album to a user based on the user operation if the user operation does not meet the recommendation triggering condition; if so, generatingan offline recall data set based on the user operation and the offline historical behavior data of the user; generating a real-time / near-real-time recall data set of the user based on the user operation and the real-time / near-real-time triggered audio album set of the user; randomly extracting a plurality of newly online audio albums from the network music platform based on user operation to serve as a newly online album recall data set; performing data fusion on the offline recall data set, the real-time recall data set and the new online album recall data set to generate a to-be-recommendedrecall set; and changing the audio album recommended to the user based on the to-be-recommended recall set. The recommended content is more reasonable by fusing recall data set results of different strategies.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to an audio album recommendation method and system that integrates multi-strategy recall data sets. Background technique [0002] In online music platforms, audio albums that users are interested in are usually recommended to users through the audio album recommendation system, and the most important link in the audio album recommendation system is the recommendation algorithm. The recommendation algorithm includes coarse sort recall and fine sort Ranking. In the existing audio album recommendation process, only user offline data or user real-time data are considered. Since user offline data considers the user's offline long-term hobby needs, the data can be considered from a global perspective, but the update speed is slow, and the user is not considered. The user’s real-time interest tendency, the user’s real-time interest tendency is taken into account, and the update spe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/635G06F16/68G06K9/62
CPCG06F16/635G06F16/686G06F18/25
Inventor 徐文铭杨晶生
Owner 上海麦克风文化传媒有限公司
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