公开(公告)号：US20070162440A1

公开(公告)日：2007-07-12

申请号：US10596165

申请日：2004-11-30

申请人： Srinivas Gutta ,  Petrus Meuleman ,  Wilhelmus Verhaegh

发明人： Srinivas Gutta ,  Petrus Meuleman ,  Wilhelmus Verhaegh

IPC分类号： G06F17/30

CPC分类号： H04N7/17318 ,  H04N21/252 ,  H04N21/466 ,  H04N21/4661 ,  H04N21/4667 ,  H04N21/4668 ,  H04N21/4755 ,  H04N21/4756

摘要： A method for generating a recommendation is provided. The method includes the steps of: receiving at least one of a negative and positive example from one or more other users; and determining a recommendation for a user based on at least one of the negative and positive examples. The method can further include the step of generating a user profile for the user based on previous behavior of the user, in which case the determining step can include determining the recommendation based on the negative example and the user profile. The determining step can also include the step of determining the recommendation based on both of the negative and positive examples.

摘要翻译： 提供了一种用于产生推荐的方法。 该方法包括以下步骤：从一个或多个其他用户接收负面和正面示例中的至少一个; 以及基于所述负面和正面示例中的至少一个来确定针对用户的推荐。 该方法还可以包括基于用户的先前行为为用户生成用户简档的步骤，在这种情况下，确定步骤可以包括基于否定示例和用户简档确定推荐。 确定步骤还可以包括基于负面和正面实例两者来确定推荐的步骤。

公开(公告)号：US20070074243A1

公开(公告)日：2007-03-29

申请号：US10578832

申请日：2004-11-08

申请人： Wilhemus Franciscus Verhaegh ,  Srinivas Gutta ,  Petrus Meuleman

发明人： Wilhemus Franciscus Verhaegh ,  Srinivas Gutta ,  Petrus Meuleman

IPC分类号： H04N7/10 ,  H04N7/025

CPC分类号： H04N7/165 ,  H04N21/23106 ,  H04N21/23424 ,  H04N21/25891 ,  H04N21/26233 ,  H04N21/2625 ,  H04N21/4263 ,  H04N21/4331 ,  H04N21/4333 ,  H04N21/44016 ,  H04N21/4755 ,  H04N21/812

摘要： A method for inserting replacement commercials (7-10) into a data stream (100) is provided where the data stream has program (A, B, C) and commercial (1, 2) portions. The method including: detecting one or more of the commercial portions of the data stream; and replacing the detected one or more commercial portions with either more or less of the replacement commercial portions.

摘要翻译： 在数据流具有程序（A，B，C）和商业（1,2）部分的情况下，提供将替代广告（7-10）插入数据流（100）的方法。 该方法包括：检测数据流中的一个或多个商业部分; 以及更换或更少的替换商业部分来更换检测到的一个或多个商业部分。

公开(公告)号：US20050251437A1

公开(公告)日：2005-11-10

申请号：US10527356

申请日：2003-08-18

申请人： Petrus Meuleman

发明人： Petrus Meuleman

IPC分类号： G06F17/30 ,  G06F17/60

CPC分类号： G06Q30/0255 ,  G06F16/437 ,  G06Q30/0203

摘要： This invention relates to method and a media system (102) of/for adapting an interest profile (104) based on a feedback behavioral profile (301). Said method comprises the steps of: retrieving information about media content (101); retrieving implicit information (201) representing feedback information about a user's interaction with the media system, wherein said implicit information also relates to said information about media content; retrieving explicit information (202) representing feedback information about a user's rating of the media content, wherein said explicit information also relates to said information about media content; updating, by a feedback analysis (203), the feedback behavioral profile in response to at least one of implicit and explicit information; estimating a first score representing relevance of the media content based on the feedback behavioral profile and at least one of implicit and explicit information; estimating a second score based on feedback behavioral profile and the first score, wherein the second score represents reliability of the first score; and updating, by an interest profile maintenance (204), the interest profile based on said first and second scores. Said method further includes the step of: further updating the feedback behavioral profile based on said first and second scores.

摘要翻译： 本发明涉及基于反馈行为概况（301）来调整兴趣概况（104）的方法和媒体系统（102）。 所述方法包括以下步骤：检索关于媒体内容的信息（101）; 检索表示关于用户与媒体系统的交互的反馈信息的隐含信息（201），其中所述隐含信息还涉及关于媒体内容的所述信息; 检索表示关于用户对媒体内容的评级的反馈信息的显式信息（202），其中所述显式信息还涉及关于媒体内容的所述信息; 响应于隐含和明确信息中的至少一个，通过反馈分析（203）更新反馈行为简档; 基于反馈行为轮廓和隐含和显式信息中的至少一个来估计表示媒体内容的相关性的第一得分; 基于反馈行为轮廓和第一分数估计第二分数，其中第二分数表示第一分数的可靠性; 以及基于所述第一和第二分数利用兴趣简档维护（204）更新兴趣简档。 所述方法还包括以下步骤：基于所述第一和第二分数进一步更新反馈行为简档。