Outdoor localization using hotspot labels

    公开(公告)号:US10989786B2

    公开(公告)日:2021-04-27

    申请号:US15393231

    申请日:2016-12-28

    Applicant: SAP SE

    Abstract: Described herein is a framework for outdoor localization. In accordance with one aspect of the framework, a set of hotspot labels are received from one or more user devices connected to an outdoor wireless local area network. Manifold learning may be performed based on the set of hotspot labels to construct one or more manifolds. Using the one or more constructed manifolds, the framework may then estimate a location of a particular user device associated with a query record received from during an online location query.

    MEMORY NETWORKS FOR FINE-GRAIN OPINION MINING

    公开(公告)号:US20200159863A1

    公开(公告)日:2020-05-21

    申请号:US16196008

    申请日:2018-11-20

    Applicant: SAP SE

    Abstract: Methods, systems, and computer-readable storage media for receiving input data including a set of sentences, each sentence including computer-readable text as a sequence of tokens, providing a memory network with coupled attentions (MNCA), the coupled attentions including an aspect attention and an opinion attention that are coupled by tensor operators for each sentence in the set of sentences, processing the input data through the MNCA to identify a set of aspect terms, and a set of opinion terms, and simultaneously assign a category to each aspect term and each opinion term from a set of categories, and outputting the set of aspect terms with respective categories, and the set of opinion terms with respective categories.

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