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    System and methods for detecting temporal music trends from online services
    3.
    发明授权
    System and methods for detecting temporal music trends from online services 有权
    用于从在线服务中检测时间音乐趋势的系统和方法

    公开(公告)号：US09524487B1

    公开(公告)日：2016-12-20

    申请号：US13466817

    申请日：2012-05-08

    Applicant: Jay Yagnik ,  Douglas Eck

    Inventor： Jay Yagnik ,  Douglas Eck

    IPC: G06F15/16 ,  G06Q10/10 ,  G06F17/30 ,  G06Q30/00

    CPC classification number: G06Q10/10 ,  G06F17/30 ,  G06Q30/00

    Abstract: A system and methods for automatically detecting temporal music trends by observing music consumption by users of online services, for example, social networks, and user sharing habits. In some embodiments, the system and methods gather music consumption patterns (e.g., downloading, listening, sharing or the like) of users, including music identifiers for a track, album, or playlist in a user's music library and time stamps that indicate consumption times corresponding to the music identifiers. A temporal trends detection engine determines music of interest to users by analyzing music consumption patterns of users, user interests and tastes in music, and social affinity between users. A recommendations engine automatically generates and transmits recommendations of music determined by the temporal trends detection engine to be of interest to users.

    Abstract translation: 用于通过观察在线服务的用户（例如，社交网络）和用户共享习惯的音乐消费来自动检测时间音乐趋势的系统和方法。 在一些实施例中，系统和方法收集用户的音乐消费模式（例如，下载，收听，共享等），包括用户音乐库中的音轨，专辑或播放列表的音乐标识符，以及指示消费时间的时间戳 对应于音乐标识符。 时间趋势检测引擎通过分析用户的音乐消费模式，音乐中的用户兴趣和品味以及用户之间的社交关系来确定用户感兴趣的音乐。 推荐引擎自动生成并发送由时间趋势检测引擎确定的用户兴趣的音乐推荐。

    Sound representation via winner-take-all coding of auditory spectra
    4.
    发明授权
    Sound representation via winner-take-all coding of auditory spectra 有权
    通过听觉光谱的获胜者全部编码的声音表示

    公开(公告)号：US09158842B1

    公开(公告)日：2015-10-13

    申请号：US13616938

    申请日：2012-09-14

    Applicant: Jay Yagnik ,  Richard Francis Lyon ,  Thomas Chadwick Walters ,  Douglas Eck

    Inventor： Jay Yagnik ,  Richard Francis Lyon ,  Thomas Chadwick Walters ,  Douglas Eck

    IPC: G06F17/30

    CPC classification number: G06F17/30743 ,  G06F17/00 ,  G06F17/3074

    Abstract: Sound representations and winner-take-all codes of auditory spectra are used in the identification of audio content. A transformation component converts a set of sound frames from audio content into a set of spectral slices. A spectral encoder component encodes the spectral slices of auditory spectra into winner-take-all codes with a winner-take-all hash function. An identification component identifies which spectral dimension of a subset of spectral dimensions within a spectral slice has highest spectral value according to the winner-take-all codes. Reference audio content is determined to be similar or matching to the audio content based on the winner-take-all codes.

    Abstract translation: 听觉谱中的声音表示和获胜者代码都用于音频内容的识别。 变换分量将一组声音帧从音频内容转换成一组光谱片段。 频谱编码器组件将听觉光谱的频谱切片编成具有获胜者全部散列函数的获胜者所有代码。 识别部件根据获胜者全部代码识别光谱切片内的光谱维度的子集的哪个光谱尺寸具有最高光谱值。 参考音频内容被确定为基于获胜者所有代码与音频内容相似或匹配。

    SYSTEM AND METHOD FOR DYNAMIC, FEATURE-BASED PLAYLIST GENERATION
    6.
    发明申请
    SYSTEM AND METHOD FOR DYNAMIC, FEATURE-BASED PLAYLIST GENERATION 有权
    用于动态，基于特征的播放列表生成的系统和方法

    公开(公告)号：US20120254806A1

    公开(公告)日：2012-10-04

    申请号：US13076223

    申请日：2011-03-30

    Applicant: Rich GOSSWEILER ,  Douglas Eck ,  Hrishikesh ARADHYE ,  Tomas IZO

    Inventor： Rich GOSSWEILER ,  Douglas Eck ,  Hrishikesh ARADHYE ,  Tomas IZO

    IPC: G06F3/048

    CPC classification number: G06F17/30053 ,  G06F17/30749 ,  G06F17/30772 ,  G10H2240/081 ,  G10H2240/121 ,  G11B27/034 ,  G11B27/105

    Abstract: Methods and systems for generating playlists of media items with audio data are disclosed. Based on two received feature sets, media items corresponding to each feature set are identified. Transition characteristics are also received. Based on the identified media items and transition characteristics, a dynamic playlist is generated that transitions from media items having characteristics of the first feature set to media items having characteristics of the second feature set. Each time the playlist is generated, it may include a different set of media items.

    Abstract translation: 公开了用于产生具有音频数据的媒体项的播放列表的方法和系统。 基于两个接收到的特征集，识别与每个特征集相对应的媒体项。 也收到过渡特征。 基于所识别的媒体项目和转换特征，生成从具有第一特征集合的媒体项目转换到具有第二特征集合的媒体项目的动态播放列表。 每当生成播放列表时，它可以包括不同的媒体项目集合。

    System and method for dynamic, feature-based playlist generation
    7.
    发明授权
    System and method for dynamic, feature-based playlist generation 有权
    用于动态基于特征的播放列表生成的系统和方法

    公开(公告)号：US08258390B1

    公开(公告)日：2012-09-04

    申请号：US13251119

    申请日：2011-09-30

    Applicant: Rich Gossweiler ,  Douglas Eck ,  Hrishikesh Aradhye ,  Tomas Izo

    Inventor： Rich Gossweiler ,  Douglas Eck ,  Hrishikesh Aradhye ,  Tomas Izo

    IPC: G10H1/00

    CPC classification number: G06F17/30053 ,  G06F17/30749 ,  G06F17/30772 ,  G10H2240/081 ,  G10H2240/121 ,  G11B27/034 ,  G11B27/105

    Abstract: Methods and systems for generating playlists of media items with audio data are disclosed. Based on two received feature sets, media items corresponding to each feature set are identified. Transition characteristics are also received. Based on the identified media items and transition characteristics, a dynamic playlist is generated that transitions from media items having characteristics of the first feature set to media items having characteristics of the second feature set. Each time the playlist is generated, it may include a different set of media items.

    Abstract translation: 公开了用于产生具有音频数据的媒体项的播放列表的方法和系统。 基于两个接收到的特征集，识别与每个特征集相对应的媒体项。 也收到过渡特征。 基于所识别的媒体项目和转换特征，生成从具有第一特征集合的媒体项目转换到具有第二特征集合的媒体项目的动态播放列表。 每当生成播放列表时，它可以包括不同的媒体项目集合。

    Method and Apparatus for Generating Recommendations From Descriptive Information
    8.
    发明申请
    Method and Apparatus for Generating Recommendations From Descriptive Information 审中-公开
    用于从描述性信息生成建议的方法和装置

    公开(公告)号：US20100161619A1

    公开(公告)日：2010-06-24

    申请号：US12338585

    申请日：2008-12-18

    Applicant: Paul B. Lamere ,  Stephen J. Green ,  Jeffrey H. Alexander ,  Francois Maillet ,  Douglas Eck

    Inventor： Paul B. Lamere ,  Stephen J. Green ,  Jeffrey H. Alexander ,  Francois Maillet ,  Douglas Eck

    IPC: G06F7/06 ,  G06F17/30 ,  G06F7/00

    CPC classification number: G06Q10/00 ,  G06F16/9535 ,  G06F16/9538 ,  G06F16/958

    Abstract: Meaningful words or phrases may be extracted from the information and used as tags. Weights may be determined for the tags, and tag clouds may be generated for the items. The tag clouds may be stored to a data store. Information specifying a tag cloud may be received. Recommended items for which the tag clouds most closely match the specified tag cloud may be identified. Standard vector space distance calculations, for example the cosine distance between the tag clouds, may be used to determine cloud similarity. The results may be filtered to optimize relevance, novelty and familiarity in accordance with preferences of the user. The recommended items may be displayed to a user interface. Users may interact with the user interface to steer the recommendations towards more relevant content.

    Abstract translation: 可以从信息中提取有意义的词语或短语，并将其用作标签。 可以为标签确定权重，并且可以为物品生成标签云。 标签云可以存储到数据存储。 可以接收指定标签云的信息。 可以识别标签云与指定标签云最匹配的推荐项目。 标准向量空间距离计算，例如标签云之间的余弦距离可用于确定云相似度。 结果可能被过滤以根据用户的偏好来优化相关性，新颖性和熟悉度。 推荐的项目可能会显示给用户界面。 用户可以与用户界面进行交互，将建议转向更相关的内容。

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