SYSTEM AND METHOD FOR PROVIDING CONTENT RECOMMENDATIONS BASED ON PERSONALIZED MULTIMEDIA CONTENT ELEMENT CLUSTERS

    公开(公告)号:US20170185690A1

    公开(公告)日:2017-06-29

    申请号:US15456902

    申请日:2017-03-13

    Applicant: Cortica, Ltd.

    Abstract: A system and method for generating recommendations based on personalized multimedia content element clusters. The method includes obtaining a personalized multimedia content element cluster associated with a user, wherein the personalized multimedia content element cluster includes a plurality of multimedia content elements related to a common concept, wherein the common concept represents a user interest of the user; analyzing the obtained personalized multimedia content element cluster to determine at least one query; searching, using the determined at least one query, for at least one relevant multimedia content element that is relevant to the user interest of the user; and providing, to the user, at least one recommended multimedia content element of the at least one relevant multimedia content element found during the search.

    Systems and methods for generation of searchable structures respective of multimedia data content
    75.
    发明授权
    Systems and methods for generation of searchable structures respective of multimedia data content 有权
    用于生成可搜索结构的系统和方法分别涉及多媒体数据内容

    公开(公告)号:US09575969B2

    公开(公告)日:2017-02-21

    申请号:US14509558

    申请日:2014-10-08

    Applicant: Cortica, Ltd.

    Abstract: Methods and systems for generating concept structures from signature reduced clusters (SRCs) are provided. The method includes retrieving at least one SRC including a cluster of signatures respective of a plurality of multimedia data elements (MMDEs); generating at least one metadata for each signature of the cluster of signatures; identifying a number of repetitions of a metadata of the at least one generated metadata; and determining whether the number of repetitions of the metadata exceeds a predefined repetition threshold; upon determining that the number of repetitions of the metadata exceeds the predefined repetition threshold, identifying the metadata as representative of the SRC; comparing the representative metadata to metadata that is representative of at least one previously generated SRC to determine a metadata match; and upon determining the metadata match, identifying the retrieved SRC and the matching previously generated SRC as a concept structure.

    Abstract translation: 提供了从签名减少集群(SRC)生成概念结构的方法和系统。 该方法包括:检索至少一个包括多个多媒体数据元素(MMDE)相应的签名集群的SRC; 为所述签名群的每个签名生成至少一个元数据; 识别所述至少一个生成的元数据的元数据的重复次数; 以及确定所述元数据的重复次数是否超过预定的重复阈值; 在确定所述元数据的重复次数超过所述预定义的重复阈值时,将所述元数据标识为所述SRC的代表; 将代表性元数据与代表至少一个先前生成的SRC的元数据进行比较以确定元数据匹配; 并且在确定元数据匹配时,将所检索的SRC和匹配先前生成的SRC识别为概念结构。

    SYSTEM AND METHOD FOR REMOVING CONTEXTUALLY IDENTICAL MULTIMEDIA CONTENT ELEMENTS
    76.
    发明申请
    SYSTEM AND METHOD FOR REMOVING CONTEXTUALLY IDENTICAL MULTIMEDIA CONTENT ELEMENTS 审中-公开
    删除内容多媒体内容元素的系统和方法

    公开(公告)号:US20170046343A1

    公开(公告)日:2017-02-16

    申请号:US15296551

    申请日:2016-10-18

    Applicant: Cortica, Ltd.

    Abstract: A system and method for removing contextually identical multimedia content elements. The method includes analyzing a plurality of multimedia content elements to identify at least two multimedia content elements of the plurality of multimedia content elements that are contextually identical; selecting, from among the at least two contextually identical multimedia content elements, at least one optimal multimedia content element; and removing, from a storage, all multimedia content elements of the group of contextually identical multimedia content elements other than the at least one optimal multimedia content element.

    Abstract translation: 一种用于删除上下文相同的多媒体内容元素的系统和方法。 该方法包括分析多个多媒体内容元素以识别在上下文相同的多个多媒体内容元素中的至少两个多媒体内容元素; 从所述至少两个上下文相同的多媒体内容元素中选择至少一个最佳多媒体内容元素; 以及从所述至少一个最佳多媒体内容元素除去所述上下文相同的多媒体内容元素组中的所有多媒体内容元素的存储。

    SYSTEM AND METHOD FOR CREATING USER PROFILES BASED ON MULTIMEDIA CONTENT
    78.
    发明申请
    SYSTEM AND METHOD FOR CREATING USER PROFILES BASED ON MULTIMEDIA CONTENT 审中-公开
    基于多媒体内容创建用户配置文件的系统和方法

    公开(公告)号:US20160378755A1

    公开(公告)日:2016-12-29

    申请号:US15259907

    申请日:2016-09-08

    Applicant: Cortica, Ltd.

    CPC classification number: H04L67/22 G06F17/30029 G06K9/00744 H04L67/306

    Abstract: A system and method for creating user profiles based on multimedia content. The method may include identifying a plurality of multimedia content elements associated with a user; generating at least one signature for each of the plurality of multimedia content elements; analyzing the at least one signature to identify at least one concept matching the multimedia content elements; generating, based on the at least one matching concept, at least one contextual insight, wherein each contextual insight indicates a preference of the user; and generating, based on the at least one contextual insight, a user profile for the user.

    Abstract translation: 一种基于多媒体内容创建用户简档的系统和方法。 该方法可以包括识别与用户相关联的多个多媒体内容元素; 为所述多个多媒体内容元素中的每一个生成至少一个签名; 分析所述至少一个签名以识别与所述多媒体内容元素匹配的至少一个概念; 基于所述至少一个匹配概念生成至少一个情境洞察,其中每个上下文的洞察指示所述用户的偏好; 以及基于所述至少一个上下文观察,生成所述用户的用户简档。

    SYSTEM AND METHOD FOR GENERATING A FACIAL REPRESENTATION
    80.
    发明申请
    SYSTEM AND METHOD FOR GENERATING A FACIAL REPRESENTATION 审中-公开
    用于产生真实表示的系统和方法

    公开(公告)号:US20160321256A1

    公开(公告)日:2016-11-03

    申请号:US15206792

    申请日:2016-07-11

    Applicant: Cortica, Ltd.

    CPC classification number: G06K9/00281 G06F16/41 G06K2209/27

    Abstract: A system and method for generating a facial representation. The method includes identifying, via at least one data source, at least one multimedia content element; generating at least one signature for at least a portion of each identified multimedia content element, wherein each generated signature represents at least one facial concept; analyzing the generated signatures to determine a cluster of signatures of facial concepts; and generating, based on the cluster of facial concept signatures, a facial representation.

    Abstract translation: 一种用于生成面部表情的系统和方法。 该方法包括通过至少一个数据源识别至少一个多媒体内容元素; 为每个所标识的多媒体内容元素的至少一部分生成至少一个签名,其中每个生成的签名代表至少一个面部概念; 分析生成的签名以确定面部概念的签名簇; 并且基于面部概念签名的集群生成面部表情。

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