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    • 33. 发明授权
    • Scalable music recommendation by search
    • 通过搜索推出可扩展音乐
    • US08438168B2
    • 2013-05-07
    • US13363241
    • 2012-01-31
    • Rui CaiLei ZhangWei-Ying Ma
    • Rui CaiLei ZhangWei-Ying Ma
    • G06F7/00G06F17/30
    • G10H1/0058G10H2210/081G10H2240/135G10H2240/305G10H2250/011
    • An exemplary method includes providing a music collection of a particular scale, determining a distance parameter for locality sensitive hashing based at least in part on the scale of the music collection and constructing an index for the music collection. Another exemplary method includes providing a song, extracting snippets from the song, analyzing time-varying timbre characteristics of the snippets and constructing one or more queries based on the analyzing. Such exemplary methods may be implemented by a portable device configured to maintain an index, to perform searches based on selected songs or portions of songs and to generate playlists from search results. Other exemplary methods, devices, systems, etc., are also disclosed.
    • 一种示例性方法包括提供特定比例的音乐集合,至少部分地基于音乐收藏的比例并且为音乐收藏构建索引,确定用于局部敏感哈希的距离参数。 另一示例性方法包括提供歌曲,从歌曲中提取片段,分析片段的时变音色特征并基于分析构建一个或多个查询。 这样的示例性方法可以通过被配置为维持索引的便携式设备来实现,以基于所选歌曲或歌曲的一部分执行搜索,并且从搜索结果生成播放列表。 还公开了其它示例性方法,装置,系统等。
    • 35. 发明授权
    • Long-query retrieval
    • 长查询检索
    • US08326820B2
    • 2012-12-04
    • US12571302
    • 2009-09-30
    • Zhiwei LiLei ZhangRui CaiWei-Ying MaHeung-Yeung Shum
    • Zhiwei LiLei ZhangRui CaiWei-Ying MaHeung-Yeung Shum
    • G06F17/30
    • G06F17/3028G06F17/30448
    • Described herein is a technology that facilitates efficient large-scale similarity-based retrieval. In several embodiments documents, images, and/or other multimedia files are compactly represented and efficiently indexed to enable robust search using a long-query in a large-scale corpus. As described herein, these techniques include performing decomposition of a file, e.g., a document or document-like representation. The techniques use dimension reduction to obtain three parts, topic-related words (major semantics), document specific words (minor semantics), and background words, representing the major semantics in a feature vector and the minor semantics as keywords. Using the techniques described, file vectors are matched in a topic model and the results ranked based on the keywords.
    • 这里描述了一种有助于有效的大规模相似性检索的技术。 在几个实施例中,文档,图像和/或其他多媒体文件被紧凑地表示并且被有效地索引,以使得能够使用大规模语料库中的长查询进行鲁棒搜索。 如这里所述,这些技术包括执行文件的分解,例如文档或类似文档的表示。 这些技术使用维度缩减来获得三个部分,主题相关词(主要语义),文档特定词(次要语义)和背景词,表示特征向量中的主要语义和次要语义作为关键字。 使用所描述的技术,在主题模型中匹配文件向量,并根据关键字对结果进行排名。