公开(公告)号：US20100325123A1

公开(公告)日：2010-12-23

申请号：US12486123

申请日：2009-06-17

申请人： Andrew J. Morrison ,  Rodrigo M. Bomfim ,  Joshuah Vincent ,  Patrick N. Nelson ,  Christopher B. Weare

发明人： Andrew J. Morrison ,  Rodrigo M. Bomfim ,  Joshuah Vincent ,  Patrick N. Nelson ,  Christopher B. Weare

IPC分类号： G06F7/06 ,  G06F17/30

CPC分类号： G06Q30/02 ,  G06F16/4387 ,  G06Q10/06

摘要： Media recommendation techniques are described. In an implementation, a similarity value is calculated for a plurality of media using a plurality of similarity functions. A vote is assigned for each similarity value that is above a threshold that is assigned for a respective similarity function and the plurality of media is ranked based at least in part on the assigned votes. A playlist is then created based at least in part on the ranking. Media seed techniques are also described. In an implementation, a set of dissimilar candidates are calculated for a plurality of media using a similarity function in which the set of dissimilar candidates describes the media that is dissimilar in comparison with other media included in the plurality of media. A seed is selected using the set of the dissimilar candidates to create a playlist that includes at least some of the plurality of media.

摘要翻译： 介绍媒体推荐技术。 在实现中，使用多个相似度函数为多个媒体计算相似度值。 对于高于分配给相应相似度函数的阈值的每个相似度值分配投票，并且至少部分地基于所分配的投票来对多个媒体进行排名。 然后至少部分地基于排名来创建播放列表。 还描述了媒体种子技术。 在一个实现中，使用相似性函数来计算多个媒体的一组不同候选，其中该不相似候选集描述了与包括在多个媒体中的其他媒体相比不相似的媒体。 使用所述不同候选的集合来选择种子以创建包括所述多个媒体中的至少一些的播放列表。

公开(公告)号：US20100325125A1

公开(公告)日：2010-12-23

申请号：US12487049

申请日：2009-06-18

申请人： Rodrigo M. Bomfim ,  Andrew J. Morrison ,  Christopher B. Weare ,  Joshuah Vincent

发明人： Rodrigo M. Bomfim ,  Andrew J. Morrison ,  Christopher B. Weare ,  Joshuah Vincent

IPC分类号： G06F17/30 ,  G06F3/01

CPC分类号： G06F16/4387 ,  G06F16/639

摘要： Media recommendation techniques are described. In an implementation, a similarity value is calculated for a plurality of media using a plurality of similarity functions. A vote is assigned for each similarity value that is above a threshold that is assigned for a respective similarity function and the plurality of media is ranked based at least in part on the assigned votes. A playlist is then created based at least in part on the ranking. Media seed techniques are also described. In an implementation, a set of dissimilar candidates are calculated for a plurality of media using a similarity function in which the set of dissimilar candidates describes the media that is dissimilar in comparison with other media included in the plurality of media. A seed is selected using the set of the dissimilar candidates to create a playlist that includes at least some of the plurality of media.

摘要翻译： 介绍媒体推荐技术。 在实现中，使用多个相似度函数为多个媒体计算相似度值。 对于高于分配给相应相似度函数的阈值的每个相似度值分配投票，并且至少部分地基于所分配的投票来对多个媒体进行排名。 然后至少部分地基于排名来创建播放列表。 还描述了媒体种子技术。 在一个实现中，使用相似性函数来计算多个媒体的一组不同候选，其中该不相似候选集描述了与包括在多个媒体中的其他媒体相比不相似的媒体。 使用所述不同候选的集合选择种子以创建包括所述多个媒体中的至少一些的播放列表。