- 专利标题: Computer processes for predicting media item popularity
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申请号: US15669830申请日: 2017-08-04
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公开(公告)号: US10546309B2公开(公告)日: 2020-01-28
- 发明人: Christopher Lon McGilliard
- 申请人: Amazon Technologies, Inc.
- 申请人地址: US WA Seattle
- 专利权人: Amazon Technologies, Inc.
- 当前专利权人: Amazon Technologies, Inc.
- 当前专利权人地址: US WA Seattle
- 代理机构: Knobbe, Martens, Olson & Bear, LLC
- 主分类号: G06F16/00
- IPC分类号: G06F16/00 ; G06Q30/02 ; G06F16/9535 ; G06F16/2457 ; H04N21/442 ; G06F16/68 ; G06F16/335
摘要:
Systems and methods are disclosed that identify users of a media distribution system that tend to consume popular media items prior to such media items gaining popularity. For example, a set of early adopters may be identified that tend to listen to music associated with particular artists before such artists become popular. The systems and methods disclosed may also utilize identified early adopters to determine relatively obscure or unpopular media items (or creators thereof) that are likely to become popular in the future. Illustratively, an obscure artist whose content is commonly consumed by early adopters can be identified as potentially achieving widespread popularity in the future. These media items predicted to become popular or media item creators may then be recommended to other users of the media distribution system.
公开/授权文献
- US20170330209A1 COMPUTER PROCESSES FOR PREDICTING MEDIA ITEM POPULARITY 公开/授权日:2017-11-16
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