METHOD AND APPARATUS FOR GENERATING A SORTED LIST OF ITEMS
    1.
    发明申请
    METHOD AND APPARATUS FOR GENERATING A SORTED LIST OF ITEMS 审中-公开
    用于产生分类项目列表的方法和装置

    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

    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。

    Automatic determination of genre-specific relevance of recommendations in a social network

    公开(公告)号:US10404824B2

    公开(公告)日:2019-09-03

    申请号:US14131510

    申请日:2012-07-13

    IPC分类号: H04L29/08 G06Q30/06 G06Q50/00

    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.

    METHOD AND APPARATUS FOR AUTOMATIC GENERATION OF RECOMMENDATIONS
    5.
    发明申请
    METHOD AND APPARATUS FOR AUTOMATIC GENERATION OF RECOMMENDATIONS 有权
    自动生成推荐方法和装置

    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

    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。

    AUTOMATIC DETERMINATION OF GENRE-SPECIFIC RELEVANCE OF RECOMMENDATIONS IN A SOCIAL NETWORK
    6.
    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

    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。

    RECOMMENDER SYSTEM FOR STIMULATING A USER TO RECOMMEND AN ITEM TO A CONTACT OF THE USER
    8.
    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。

    RECOMMENDER SYSTEM AND METHOD OF OPERATING SAME
    10.
    发明申请
    RECOMMENDER SYSTEM AND METHOD OF OPERATING SAME 有权
    推荐系统及其操作方法

    公开(公告)号:US20140115082A1

    公开(公告)日:2014-04-24

    申请号:US14127751

    申请日:2012-06-29

    IPC分类号: H04L12/58

    CPC分类号: H04L51/046 G06Q30/02

    摘要: 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.

    摘要翻译: 本发明涉及一种操作推荐系统的方法,所述推荐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被布置为耦合到计算机实现的社交网络(200)的相应推荐器系统(100)。 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有关的推荐(172),而不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)的建议的内容项目的特征和/或接触者/朋友的特征的特征之间的相关性。