Method for generating an anonymous cognitive profile

    公开(公告)号:US11893512B2

    公开(公告)日:2024-02-06

    申请号:US14983023

    申请日:2015-12-29

    CPC classification number: G06N5/043 G06F16/00 G06F16/337

    Abstract: A cognitive learning method comprising: monitoring a user interaction of an anonymous user; generating user interaction data based upon the user interaction; receiving data from a plurality of data sources; processing the user interaction data and the data from the plurality of data sources to perform a cognitive learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation comprising analyzing the user interaction data, the cognitive learning operation generating a cognitive learning result based upon the user interaction data; and, associating an anonymous cognitive profile with the anonymous user based the cognitive learning result.

    Temporal Layers for Presenting Personalization Markers on Imagery

    公开(公告)号:US20230376511A1

    公开(公告)日:2023-11-23

    申请号:US18137256

    申请日:2023-04-20

    Applicant: Google LLC

    Inventor: Amund Tveit

    CPC classification number: G06F16/29 G06F16/00 G06F16/2477 G06Q10/00

    Abstract: A temporal layer containing personalization markers (e.g., placemarks) created by a user at a given time (or time period), can be combined with map imagery, allowing the user (or other users) to show only the personalization markers contained in the temporal layer. Temporal layers can be of arbitrary temporal or geographical size, fully or partially overlapping in time or space, split into smaller temporal layers, logically aligned or combined and/or continuous or non-continuous in time or space. Temporal layers can be stored in a repository where they can be searched and used by others. Temporal layers can be associated with search services (e.g., news search) or search histories (e.g., automatic temporal layers based on search history). A user's personal profile can be compared with other users' personal profiles and the results of the comparison can be used to recommend temporal layers. Advertisements can be associated with temporal layers.

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