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    • 51. 发明申请
    • AUTOMATIC DETERMINATION OF GENRE-SPECIFIC RELEVANCE OF RECOMMENDATIONS IN A SOCIAL NETWORK
    • 自动确定社会网络中建议的特定相关性
    • US20140136621A1
    • 2014-05-15
    • US14131510
    • 2012-07-13
    • Jan KorstMauro BarbieriServerius Petrus Paulus Pronk
    • Jan KorstMauro BarbieriServerius Petrus Paulus Pronk
    • H04L29/08
    • H04L67/306G06Q30/0631G06Q50/01
    • 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.
    • 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。
    • 55. 发明申请
    • CONTEXT-BASED RECOMMENDER SYSTEM
    • 基于语境的推荐系统
    • US20110320482A1
    • 2011-12-29
    • US12998953
    • 2009-12-15
    • Mauro BarbieriServerius Petrus Pronk
    • Mauro BarbieriServerius Petrus Pronk
    • G06F17/30
    • G06F16/9535
    • The present invention relates to a recommender system and method comprising a first extractor (S200) for applying a first feature extraction algorithm to extract first features characterizing a content of a data input (e.g. webpage) processed by a first application (e.g. Internet browser) running on the system, and a second extractor (S100) for applying a second feature extraction algorithm to extract second features characterizing a content of a database of a second application (e.g. personal TV or movie access) running on the system. Additionally, a comparator (S300) is provided for comparing the first and second features to identify matching items used for the recommendation.
    • 推荐器系统和方法技术领域本发明涉及一种推荐器系统和方法,包括:第一提取器(S200),用于应用第一特征提取算法来提取表征由运行的第一应用(例如,因特网浏览器)处理的数据输入(例如网页)的内容的第一特征 以及第二提取器(S100),用于应用第二特征提取算法来提取表征在系统上运行的第二应用(例如,个人电视或电影访问)的数据库的内容的第二特征。 此外,提供比较器(S300)用于比较第一和第二特征以识别用于推荐的匹配项目。
    • 57. 发明申请
    • RECOMMENDER SYSTEM WITH CONSISTENT PROFILE APPLICATION
    • 具有一致性配置文件的推荐系统
    • US20130104168A1
    • 2013-04-25
    • US13807430
    • 2011-08-26
    • Adolph ProidlThomas Dvorak
    • Adolph ProidlThomas Dvorak
    • H04N21/458
    • H04N21/458G06F17/30569G06F17/3092
    • The present invention relates to an apparatus, a method and a computer program product for controlling distribution and processing of content-related metadata of different content sources (101-1 to 101-n), wherein extracted metadata are transformed at from a received format of the extracted metadata into a predetermined common format used by a recommender engine. Additionally or alternatively, it is checked for an overlap between a detected classification parameter and at least one stored classification parameter, and non-overlapping metadata is enriched by adding at least one new classification parameter derived from an ontology-based processing of the non-overlapping metadata.
    • 本发明涉及一种用于控制不同内容源(101-1至101-n)的内容相关元数据的分发和处理的装置,方法和计算机程序产品,其中提取的元数据以 将所提取的元数据转换为由推荐器引擎使用的预定公用格式。 另外或替代地,检查检测到的分类参数与至少一个存储的分类参数之间的重叠,并且通过添加从非重叠的基于本体的处理导出的至少一个新的分类参数来丰富非重叠的元数据 元数据。
    • 59. 发明公开
    • EASY 2D NAVIGATION OF VIDEO DATABASE
    • LEICHTE 2D导航EINER VIDEODATENBANK
    • EP2734932A1
    • 2014-05-28
    • EP12733781.4
    • 2012-07-13
    • Axel Springer Digital TV Guide GmbH
    • BARBIERI, MauroPRONK, Serverius Petrus PaulusKORST, Jan
    • G06F17/30
    • G06F17/3084G06F17/30058G06F17/30274G06F17/30277
    • The present invention relates to a method of operating an apparatus for displaying content items on a display, a corresponding computer program for operating an apparatus and to an apparatus (100) for displaying content items on a display (410) that is arranged for being coupled to the apparatus (100). In particular, the present invention relates to an apparatus (100) that is configured to display a plurality of content items in a two-dimensional grid (300) in dependence of a respective relatedness between a selected content item (A) and one of the content items to be displayed. The selected content item is positioned at a center of the display (410) and the related content items are displayed such that associated relatedness values decrease both in left, right, up and down direction with respect to the center position. The invention furthermore relates to a user terminal (400) that comprises such apparatus.
    • 本发明涉及一种操作用于在显示器上显示内容项目的装置的方法,用于操作装置的相应计算机程序和用于在显示器(410)上显示内容项目的装置(100),该显示器被布置成被耦合 (100)。 特别地,本发明涉及一种被配置为根据所选择的内容项(A)和所选择的内容项(A)中的一个相应的相关性在二维网格(300)中显示多个内容项的装置(100) 要显示的内容项。 所选择的内容项目位于显示器(410)的中心,并且显示相关的内容项目,使得相关联的相关性值相对于中心位置在左,右,上,下方向都减小。 本发明还涉及包括这种装置的用户终端(400)。
    • 60. 发明公开
    • RECOMMENDER SYSTEM AND METHOD OF OPERATING SAME
    • EMPFEHLUNGSSYSTEM UND VERFAHREN ZU SEINEM BETRIEB
    • EP2727061A1
    • 2014-05-07
    • EP12732634.6
    • 2012-06-29
    • Axel Springer Digital TV Guide GmbH
    • KORST, JanBARBIERI, MauroPRONK, Serverius Petrus Paulus
    • G06Q30/02
    • H04L51/046G06Q30/02
    • The present invention relates to a method of operating a recommender system arranged for being coupled to a computer implemented social network (200). The present invention furthermore relates to a corresponding computer program and to a corresponding recommender system (100) arranged for being coupled to a computer implemented social network (200). In particular, the present invention relates to a recommender system (100) being configured to provide a recommendation (172) relating to a content item being highly discussed in the social network (200), without the recommendation being necessarily based on some kind of a correlation between characteristics of a recipient (10) of the recommendation on the one side and characteristics of content items to be recommended and/or characteristics of contacts/friends of the recipient (10) on the other side.
    • 本发明涉及一种操作推荐系统的方法,该系统被布置为耦合到计算机实现的社交网络(200)。 本发明还涉及相应的计算机程序和相应的推荐系统(100),其被布置为耦合到计算机实现的社交网络(200)。 特别地,本发明涉及一种推荐系统(100),其被配置为提供与在社交网络(200)中被高度讨论的内容项相关的推荐(172),而不需要推荐是基于某种类型的 一方的建议的接收者(10)的特征与另一方的接收者(10)的推荐内容项目的特征和/或接触者/朋友的特征的特征之间的相关性。