CROSS MEDIA RECOMMENDATION
    1.
    发明申请

    公开(公告)号:US20170139912A1

    公开(公告)日:2017-05-18

    申请号:US15420311

    申请日:2017-01-31

    Applicant: SPOTIFY AB

    Inventor: Brian Whitman

    Abstract: Methods, systems and computer program products are provided for cross-media recommendation by store a plurality of taste profiles corresponding to a first domain and a plurality of media item vectors corresponding to a second domain. An evaluation taste profile in the first domain is applied to a plurality of models that have been generated based on relationship among the plurality of taste profiles and the plurality of media item vectors, and obtain a plurality of resulting codes corresponding to at least one of the plurality of media item vectors in the second domain.

    Cross media recommendation
    4.
    发明授权

    公开(公告)号:US10558682B2

    公开(公告)日:2020-02-11

    申请号:US15420311

    申请日:2017-01-31

    Applicant: SPOTIFY AB

    Inventor: Brian Whitman

    Abstract: Methods, systems and computer program products are provided for cross-media recommendation by store a plurality of taste profiles corresponding to a first domain and a plurality of media item vectors corresponding to a second domain. An evaluation taste profile in the first domain is applied to a plurality of models that have been generated based on relationship among the plurality of taste profiles and the plurality of media item vectors, and obtain a plurality of resulting codes corresponding to at least one of the plurality of media item vectors in the second domain.

    Taste profile attributes
    5.
    发明授权

    公开(公告)号:US10540385B2

    公开(公告)日:2020-01-21

    申请号:US14214026

    申请日:2014-03-14

    Applicant: Spotify AB

    Abstract: Methods, systems and computer program products are provided for summarizing user activity associated with media content by accessing a taste profile containing a representation of media content activity corresponding to at least one of a plurality of items, generating at least one statistic corresponding to the media content activity, and generating a taste profile attribute by using the at least one statistic.

    NAMED ENTITY EXTRACTION FROM A BLOCK OF TEXT

    公开(公告)号:US20170083505A1

    公开(公告)日:2017-03-23

    申请号:US15364639

    申请日:2016-11-30

    Applicant: SPOTIFY AB

    Abstract: A data processing method, program, and apparatus for identifying a document within a block of text. A block of text is tokenized into a plurality of text tokens according to at least one rule parser. Each of the plurality of text tokens is sequentially compared to a plurality of document tokens to determine if the text token matches one of the plurality of document tokens. The plurality of document tokens correspond to a plurality of documents which have been tokenized according to the one or more rule parsers. Each matched text token is filtered according to predetermined filtering criteria to generate one or more candidate text tokens. It is then determined whether sequence of candidate text tokens that occur in sequential order within the block of text match sequence of document tokens. If so, then it is determined that the document has been identified within the block of text. The document can correspond to an artist, a song names, and misspellings and aliases thereof.

    Named entity extraction from a block of text

    公开(公告)号:US09600466B2

    公开(公告)日:2017-03-21

    申请号:US14736516

    申请日:2015-06-11

    Applicant: Spotify AB

    Abstract: A data processing method, program, and apparatus for identifying a document within a block of text. A block of text is tokenized into a plurality of text tokens according to at least one rule parser. Each of the plurality of text tokens is sequentially compared to a plurality of document tokens to determine if the text token matches one of the plurality of document tokens. The plurality of document tokens correspond to a plurality of documents which have been tokenized according to the one or more rule parsers. Each matched text token is filtered according to predetermined filtering criteria to generate one or more candidate text tokens. It is then determined whether sequence of candidate text tokens that occur in sequential order within the block of text match sequence of document tokens. If so, then it is determined that the document has been identified within the block of text. The document can correspond to an artist, a song names, and misspellings and aliases thereof.

    AUTOMATIC ARTIST AND CONTENT BREAKOUT PREDICTION
    8.
    发明申请
    AUTOMATIC ARTIST AND CONTENT BREAKOUT PREDICTION 审中-公开
    自动艺术家和内容破解预测

    公开(公告)号:US20170024486A1

    公开(公告)日:2017-01-26

    申请号:US15216392

    申请日:2016-07-21

    Applicant: SPOTIFY AB

    Abstract: Methods, systems and computer program products for clustering pages into headline dusters are provided by collecting web data, identifying pages from the web data, tokenizing unique words in each page, recognizing unique entities in each page, detecting media links in each page, and constructing a plurality of vector representations of each page. A first dimension of each vector representation includes the unique words tokenized in each page, a second dimension of each vector representation includes the unique entities recognized in each page, and a third dimension of each vector representation includes the media links detected in each page. The vector representations are, in turn, clustered.

    Abstract translation: 通过收集网页数据,从网页数据中识别页面,在每个页面中标记独特的单词,识别每个页面中的唯一实体,检测每个页面中的媒体链接以及构造的方法,系统和计算机程序产品 每个页面的多个向量表示。 每个向量表示的第一维度包括在每个页面中被标记化的独特词,每个向量表示的第二维度包括在每个页面中识别的唯一实体,并且每个向量表示的第三维度包括在每个页面中检测到的媒体链接。 向量表示又是聚类的。

    CROSS MEDIA RECOMMENDATION
    9.
    发明申请

    公开(公告)号:US20200159744A1

    公开(公告)日:2020-05-21

    申请号:US16749622

    申请日:2020-01-22

    Applicant: SPOTIFY AB

    Inventor: Brian Whitman

    Abstract: Methods, systems and computer program products are provided for cross-media recommendation by store a plurality of taste profiles corresponding to a first domain and a plurality of media item vectors corresponding to a second domain. An evaluation taste profile in the first domain is applied to a plurality of models that have been generated based on relationship among the plurality of taste profiles and the plurality of media item vectors, and obtain a plurality of resulting codes corresponding to at least one of the plurality of media item vectors in the second domain.

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