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    A SYSTEM AND A METHOD FOR DETERMINING CONTEXT
    8.
    发明公开
    A SYSTEM AND A METHOD FOR DETERMINING CONTEXT 审中-公开
    系统和方法来判别上下文

    公开(公告)号：EP2817735A4

    公开(公告)日：2016-03-02

    申请号：EP12869067

    申请日：2012-02-22

    Applicant: NOKIA TECHNOLOGIES OY

    Inventor： SAARINEN JUKKA ,  KÄRKKÄINEN LEO ,  TERHO MIKKO ,  FRONZA ILENIA ,  JANES ANDREA ,  SILLITTI ALBERTO ,  SUCCI GIANCARLO

    IPC: G06F17/15 ,  G06F17/30 ,  G06K9/62 ,  H04M1/725

    CPC classification number: G06F17/30675 ,  G06K9/72 ,  G06K2209/01 ,  G06N99/005 ,  H04M1/72569

    Abstract: The invention relates to determining a context of a system so that the system can be controlled or the context information be used in the system. The context of a system is described with tags or words that characterize e.g. the state of the system, the surroundings of the system and the state of the user. These tags are determined at multiple time instances. The tags are collected over a first time span and a second time span, and the two (or more) sets of tags are used to determine the context of the system. If the determination using the two sets gives a different result, that is, there is a large distance between the two derived contexts, it is determined that a change in context has occurred. Detecting the change in context can be used to control the system, e.g. by changing the applications presented to the user on the user interface, or by changing the state and/or priority of applications.

    A SYSTEM, A DATA STRUCTURE FOR CONTROLLING THE SYSTEM, AND A METHOD FOR UPDATING THE DATA STRUCTURE
    9.
    发明公开
    A SYSTEM, A DATA STRUCTURE FOR CONTROLLING THE SYSTEM, AND A METHOD FOR UPDATING THE DATA STRUCTURE 审中-公开
    系统，数据结构的数据更新结构控制系统及方法

    公开(公告)号：EP2817692A4

    公开(公告)日：2015-12-02

    申请号：EP12869469

    申请日：2012-02-22

    Applicant: NOKIA TECHNOLOGIES OY

    Inventor： HELLSTRÖM MINNA ,  LÖNNFORS MIKKO ,  MONNI EKI ,  BESZTERI ISTVAN ,  TERHO MIKKO ,  KÄRKKÄINEN LEO

    IPC: G06F3/01 ,  G06F17/28 ,  G06F17/30

    CPC classification number: G06F17/30324 ,  G06F17/276 ,  G06F17/277 ,  G06F17/30702 ,  G06Q10/06 ,  H04M1/72566 ,  H04M19/04

    Abstract: Co-occurrence data representing e.g. preferences and facts observed in a plurality of situations may be stored in a matrix as combinations of high-dimensional sparse vectors. The matrix may be called e.g. as an experience matrix. The data stored in the experience matrix may be subsequently utilized e.g. for predicting a preference of a user in a new situation. Co-occurrence data may be stored in the experience matrix may be updated by a method comprising determining a first word based on a state of a system and/or based on a physical quantity detected by a sensor, forming a first word group comprising the first word and a second word, associating the first word and the second word with a common sparse vector, associating the first word words with a first vector of a matrix, associating the second word with a second vector of the matrix, modifying the first vector of the matrix by adding contribution of the common sparse vector to the first vector of the matrix, and modifying the second vector of the matrix by adding contribution of the common sparse vector to the second vector of the matrix.

    ADAPTIVE SYSTEM
    10.
    发明公开
    ADAPTIVE SYSTEM 审中-公开
    适应系统

    公开(公告)号：EP2817737A4

    公开(公告)日：2015-10-07

    申请号：EP12869086

    申请日：2012-02-22

    Applicant: NOKIA TECHNOLOGIES OY

    Inventor： HELLSTRÖM MINNA ,  LÖNNFORS MIKKO ,  MONNI EKI ,  BESZTERI ISTVAN ,  TERHO MIKKO ,  KÄRKKÄINEN LEO

    IPC: G06Q10/10 ,  G06Q10/04

    CPC classification number: G06F17/30663 ,  G06F17/30867 ,  G06N5/003 ,  G06Q10/04 ,  G06Q10/10

    Abstract: The invention relates to forming a prediction using an experience matrix, a matrix based on sparse vectors such as random index vectors. At least a part of a first experience matrix and at least a part of at least a second experience matrix are caused to be combined (1410) to obtain a combined experience matrix. The experience matrices comprise sparse vectors or essentially similar vectors in nature, and said experience matrices comprise information of at least one system, for example contexts of a system. At least a part of at least one sparse vector of the combined experience matrix is accessed to form a prediction output (1420), and a system is controlled (1430) in response to said prediction output.

    Abstract translation: 本发明涉及使用体验矩阵来形成预测，基于诸如随机索引向量的稀疏向量的矩阵。 使第一体验矩阵和至少第二体验矩阵的至少一部分的至少一部分被组合（1410）以获得组合体验矩阵。 体验矩阵本质上包括稀疏向量或基本相似的向量，并且所述经验矩阵包括至少一个系统的信息，例如系统的上下文。 访问组合体验矩阵的至少一个稀疏向量的至少一部分以形成预测输出（1420），并响应于所述预测输出控制系统（1430）。

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