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公开(公告)号：US20130117102A1
公开(公告)日：2013-05-09
申请号：US13810242
申请日：2011-07-08
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0244 , G06Q30/02
摘要： A method and apparatus (100) for replacing an advertisement is described. A negative input regarding a current advertisement is received (step 200). At least one feature of the current advertisement is identified which is hypothezied to have caused the received negative input (step 204). A new advertisement that differs to the current advertisement in respect of the identified at last one feature is selected )step 210). The current advertisement is replaced with the selected new advertisement (step 212).
摘要翻译： 描述用于替换广告的方法和装置（100）。 接收关于当前广告的负输入（步骤200）。 识别当前广告的至少一个特征，其被假定为已经导致接收到的负输入（步骤204）。 选择与针对所识别的最后一个特征的当前广告不同的新广告）步骤210）。 当前广告被所选择的新广告替换（步骤212）。
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公开(公告)号：US20130124310A1
公开(公告)日：2013-05-16
申请号：US13810307
申请日：2011-07-14
IPC分类号： G06Q30/06
CPC分类号： G06Q30/0631 , G06Q30/02
摘要： A method and apparatus for creating recommendations for a user is described. A user input relating to an item is received (step 200). A hierarchy of categories is determined from the metadata of the item (step 204). A rating of at least one category within any one level of the hierarchy is received (step 208). Recommendations for the user are created based on at least the received rating of the at least one category (step 210).
摘要翻译： 描述了一种用于为用户创建推荐的方法和装置。 接收与项目相关的用户输入（步骤200）。 从项目的元数据确定类别的层次（步骤204）。 接收到层次结构的任何一个级别中的至少一个类别的等级（步骤208）。 至少基于所接收到的至少一个类别的评级来创建对用户的建议（步骤210）。
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公开(公告)号：US07613531B2
公开(公告)日：2009-11-03
申请号：US10579414
申请日：2004-11-08
IPC分类号： G06F17/00
CPC分类号： G11B27/105 , G11B20/10527 , G11B2020/10546
摘要： An audio player apparatus (1) and method (2). The audio player apparatus comprises input means (10), such as buttons (11, 12, 13, 14) or soft-buttons on a touch screen, for inputting the presence of at least one user at a location of said audio player apparatus. The player apparatus (1) further has input means (20) for preferred audio-preferences. Thus audio being reproduced by said audio player apparatus (1) is adapted to the current audio taste and/or mood of users present at the location of the audio player apparatus (1).
摘要翻译： 一种音频播放装置（1）和方法（2）。 音频播放器装置包括诸如按钮（11,12,13,14）或触摸屏上的软按钮的输入装置（10），用于在所述音频播放器装置的位置处输入至少一个用户的存在。 播放器装置（1）还具有用于优选音频偏好的输入装置（20）。 因此，由所述音频播放器装置（1）再现的音频适用于存在于音频播放器装置（1）的位置处的用户的当前音频味道和/或心情。
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公开(公告)号：US20140214839A1
公开(公告)日：2014-07-31
申请号：US14239836
申请日：2012-09-04
IPC分类号： G06F17/30
CPC分类号： G06F16/248 , G06F16/24578 , G06F16/44 , G06F16/738 , H04N21/466 , H04N21/4668 , H04N21/4755 , H04N21/482 , H04N21/4826 , H04N21/8133 , H04N21/84
摘要： An electronic device and method for automatic generation of a sorted list of items related to a seed item comprises a relatedness determinator to compare the seed item with a plurality of further items and to determine a relatedness value for each further item with respect to the seed item. The device also has a clustering engine to cluster the further items by determining a relative relatedness between (among) the further items. Each further item is assigned to one cluster. The device also has a list generator to generate a sorted result list by sorting the further items according to both, their relatedness value and their belonging (or membership) to a cluster in that once an item is added to the sorted list, the relatedness value depending ranking of the further items in that cluster is at least momentary lowered so as to promote adding items of further clusters.
摘要翻译： 一种用于自动生成与种子物品有关的一系列排序的物品的电子装置和方法包括：相关性确定器，用于将种子物品与多个其他物品进行比较，并且确定关于种子物品的每个其他物品的相关性值 。 该装置还具有一个聚类引擎，通过确定其他项目之间的相对相关性来聚集其他项目。 每个其他项目被分配到一个集群。 该设备还具有列表生成器，用于通过根据其相关性值及其归属（或成员资格）将其他项目排序到群集来生成排序结果列表，因为一旦将项目添加到排序列表中，则相关性值 该集群中进一步的项目的排名至少暂时降低，以促进添加进一步集群的项目。
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5.发明授权公开(公告)号：US10404824B2
公开(公告)日：2019-09-03
申请号：US14131510
申请日：2012-07-13
摘要： The present invention relates to an operating method of operating a recommender system, a filtering apparatus (260) for a recommender system (200), a recommender system and a corresponding computer program. An idea of the invention is to automatically learn for a user A in a social network, which recommendations of contacts of user A, who are also members of the social network, are relevant with respect to a genre into which user A is interested in. A learning algorithm is used to interpret feedback from user A in response to receiving recommendations from his/her contacts. Thereby, for each combination of a contact and a genre, a relevance-taste index can be determined. The determined relevance-taste index is subjected to a filter. Only such recommendations are provided to user A, whose associated relevance-taste indices fulfill a filtering criterion. Thereby, the amount of irrelevant recommendations submitted to user A can be significantly reduced.
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公开(公告)号：US09477783B2
公开(公告)日：2016-10-25
申请号：US13704496
申请日：2011-06-15
IPC分类号： G06F17/30
CPC分类号： G06F17/30817 , G06F17/30442 , G06F17/30477 , G06F17/30867 , G06F17/30979
摘要： The present invention relates to an apparatus, a method and a computer program product for controlling a recommender system, wherein a user profile normally used by a recommender to predict user ratings is employed to generate a targeted query for the remote database yielding a set of results that can be scored by the recommender and provided as suggestions to the user.
摘要翻译： 本发明涉及一种用于控制推荐系统的装置，方法和计算机程序产品，其中采用推荐者通常用于预测用户评级的用户简档来生成远程数据库的目标查询，产生一组结果 这可以由推荐者评分并作为建议提供给用户。
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公开(公告)号：US20140223488A1
公开(公告)日：2014-08-07
申请号：US14239380
申请日：2012-09-04
IPC分类号： H04N21/466 , H04N21/482
CPC分类号： H04N21/4668 , G06F17/30867 , H04N21/4828
摘要： A recommender engine for recommending content items to a user comprises a profile generation unit having a pre-profile input unit, which is configured to receive pre-profile data comprising pre-profile text data suitable for identifying entities of interest to a given user, and having a pre-profile analysis unit, the entities of interest and to generate an initial user profile data set for the given user from the extracted identification data; a query generation unit, to generate at least two queries semantically different from each other to be directed to at least one content repository; a content retrieval unit, to issue the generated queries to the content repository and to receive in response to the queries, content-related response data comprising respective hit lists and an interleaver unit to generate from the different hit lists a single recommendation list.
摘要翻译： 用于向用户推荐内容的推荐引擎包括具有预配置文件输入单元的配置文件生成单元，其被配置为接收预配置文件数据，其包括适于识别给定用户感兴趣的实体的预配置文本数据，以及 具有预先轮廓分析单元，所述感兴趣的实体并且从所提取的标识数据生成给定用户的初始用户简档数据集; 查询生成单元，用于生成至少两个语义上彼此不同的查询，以指向至少一个内容存储库; 内容检索单元，用于向所述内容存储库发出所生成的查询，并且响应于所述查询接收包括相应命中列表的内容相关的响应数据和从所述不同命中列表生成单个推荐列表的交织器单元。
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8.发明申请AUTOMATIC DETERMINATION OF GENRE-SPECIFIC RELEVANCE OF RECOMMENDATIONS IN A SOCIAL NETWORK 审中-公开自动确定社会网络中建议的特定相关性公开(公告)号：US20140136621A1
公开(公告)日：2014-05-15
申请号：US14131510
申请日：2012-07-13
IPC分类号： H04L29/08
CPC分类号： H04L67/306 , G06Q30/0631 , G06Q50/01
摘要： The present invention relates to an operating method of operating a recommender system, a filtering apparatus (260) for a recommender system (200), a recommender system and a corresponding computer program. An idea of the invention is to automatically learn for a user A in a social network, which recommendations of contacts of user A, who are also members of the social network, are relevant with respect to a genre into which user A is interested in. A learning algorithm is used to interpret feedback from user A in response to receiving recommendations from his/her contacts. Thereby, for each combination of a contact and a genre, a relevance-taste index can be determined. The determined relevance-taste index is subjected to a filter. Only such recommendations are provided to user A, whose associated relevance-taste indices fulfil a filtering criterion. Thereby, the amount of irrelevant recommendations submitted to user A can be significantly reduced.
摘要翻译： 本发明涉及操作推荐系统的操作方法，用于推荐系统（200）的过滤装置（260），推荐系统和对应的计算机程序。 本发明的思想是在社交网络中自动学习用户A，用户A的联系人也是社交网络的成员，与用户A感兴趣的类型相关。 一个学习算法用于解释用户A响应于他/她的联系人的接收建议的反馈。 因此，对于联系人和类型的每个组合，可以确定相关性味道指数。 确定的相关性味道指数被过滤。 只有这样的建议被提供给用户A，其相关联的相关性味道指数满足过滤标准。 因此，提交给用户A的无关建议的数量可以大大减少。
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公开(公告)号：US20140020027A1
公开(公告)日：2014-01-16
申请号：US14007363
申请日：2012-04-30
IPC分类号： H04N21/482
CPC分类号： H04N21/482 , H04N21/25 , H04N21/251 , H04N21/258 , H04N21/25808 , H04N21/25891 , H04N21/266 , H04N21/2668 , H04N21/44222 , H04N21/4532 , H04N21/458 , H04N21/4667 , H04N21/4668 , H04N21/4755 , H04N21/4826 , H04N21/84 , H04N2005/44569
摘要： The present invention relates to an apparatus (100), a video system, a method and a corresponding computer program and a computer readable medium for managing a personal channel (210) of a user (200). The apparatus (100) is configured to identify a personal channel data piece that specifies a content item that the user (200) of the personal channel might not like anymore. The apparatus (100) then suggests (142) to the user (200) to delete the corresponding identified personal channel data piece and thus assists the user (200) in keeping a clear personal channel (210).
摘要翻译： 本发明涉及一种用于管理用户（200）的个人频道（210）的装置（100），视频系统，方法和相应的计算机程序和计算机可读介质。 设备（100）被配置为识别指定个人频道的用户（200）可能不再喜欢的内容项的个人频道数据片段。 然后，设备（100）向用户（200）建议（142）删除相应的所识别的个人频道数据片段，从而辅助用户（200）保持清晰的个人频道（210）。
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10.发明申请RECOMMENDER SYSTEM FOR STIMULATING A USER TO RECOMMEND AN ITEM TO A CONTACT OF THE USER 审中-公开推荐系统，用于刺激用户向用户的联系推荐项目公开(公告)号：US20130204740A1
公开(公告)日：2013-08-08
申请号：US13879754
申请日：2011-11-23
IPC分类号： G06Q30/06
CPC分类号： G06Q30/0631 , G06Q30/02
摘要： The present invention is related to a recommender system (100), a computer-implemented recommending method, a corresponding computer readable medium and a corresponding computer program. A recommender system (100) is configured to send an electronic suggestion signal (186) to a respective user (199) of a user database (140) in dependence of a first like-degree (164) of a specific item, which has been determined based on items that the respective user has already recommended to his contacts. The electronic suggestion signal (186) suggests the respective user (199) to recommend the specific item to one or more of his contacts (198). In that way, personal based recommendations (188) are stimulated.
摘要翻译： 本发明涉及推荐系统（100），计算机实现的推荐方法，相应的计算机可读介质和相应的计算机程序。 推荐系统（100）被配置为根据特定项目的第一相似度（164）向用户数据库（140）的相应用户（199）发送电子建议信号（186） 基于相应用户已经向他的联系人推荐的项目确定。 电子建议信号（186）建议相应的用户（199）将具体项目推荐给他的一个或多个联系人（198）。 这样，个人推荐（188）被刺激。
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