User specific event threading
    1.
    发明授权

    公开(公告)号:US11314550B2

    公开(公告)日:2022-04-26

    申请号:US16801965

    申请日:2020-02-26

    Abstract: The techniques may include maintaining a thread of events for a plurality of users, where each element of the thread corresponds to an event/activity and includes at least a next field that includes a first subset of the plurality of users and a previous field that includes a second subset of the plurality of users. These techniques may allow new events to be quickly added and prior elements may be updated to reflect the addition. Further, the thread elements may allow the thread to be quickly traversed to identify queried information such that the information may be displayed to a user.

    USER SPECIFIC EVENT THREADING
    3.
    发明申请

    公开(公告)号:US20220222110A1

    公开(公告)日:2022-07-14

    申请号:US17656812

    申请日:2022-03-28

    Abstract: The techniques may include maintaining a thread of events for a plurality of users, where each element of the thread corresponds to an event/activity and includes at least a next field that includes a first subset of the plurality of users and a previous field that includes a second subset of the plurality of users. These techniques may allow new events to be quickly added and prior elements may be updated to reflect the addition. Further, the thread elements may allow the thread to be quickly traversed to identify queried information such that the information may be displayed to a user.

    USER SPECIFIC EVENT THREADING
    4.
    发明申请

    公开(公告)号:US20210149720A1

    公开(公告)日:2021-05-20

    申请号:US16801965

    申请日:2020-02-26

    Abstract: The techniques may include maintaining a thread of events for a plurality of users, where each element of the thread corresponds to an event/activity and includes at least a next field that includes a first subset of the plurality of users and a previous field that includes a second subset of the plurality of users. These techniques may allow new events to be quickly added and prior elements may be updated to reflect the addition. Further, the thread elements may allow the thread to be quickly traversed to identify queried information such that the information may be displayed to a user.

    Metric determination for an interaction data stream using multiple databases

    公开(公告)号:US11138204B2

    公开(公告)日:2021-10-05

    申请号:US16530680

    申请日:2019-08-02

    Abstract: Techniques are disclosed for generating metrics for a stream of interaction data. In some embodiments, a computing system receives a stream of interaction data that is based on user interactions with one or more computing systems, where the stream of interaction data includes information for multiple interaction characteristics including an interaction category. In response to receiving additional interaction information in the stream of interaction data, the computing system may generate cumulative metric values for one or more interaction categories. Generating cumulative metric values may include: sharding the additional interaction information based on multiple characteristics including interaction category, storing the sharded information in a non-relational database, determining respective metric values for shards modified by the storing, storing the respective metric values and shard information for each of the modified shards in a relational database, querying the relational database using one or more interaction categories corresponding to the modified shards, and determining the cumulative metric values based on the results of the querying.

    METRIC DETERMINATION FOR AN INTERACTION DATA STREAM USING MULTIPLE DATABASES

    公开(公告)号:US20210034627A1

    公开(公告)日:2021-02-04

    申请号:US16530680

    申请日:2019-08-02

    Abstract: Techniques are disclosed for generating metrics for a stream of interaction data. In some embodiments, a computing system receives a stream of interaction data that is based on user interactions with one or more computing systems, where the stream of interaction data includes information for multiple interaction characteristics including an interaction category. In response to receiving additional interaction information in the stream of interaction data, the computing system may generate cumulative metric values for one or more interaction categories. Generating cumulative metric values may include: sharding the additional interaction information based on multiple characteristics including interaction category, storing the sharded information in a non-relational database, determining respective metric values for shards modified by the storing, storing the respective metric values and shard information for each of the modified shards in a relational database, querying the relational database using one or more interaction categories corresponding to the modified shards, and determining the cumulative metric values based on the results of the querying.

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