-
公开(公告)号:US12066978B2
公开(公告)日:2024-08-20
申请号:US18091999
申请日:2022-12-30
申请人: People.ai, Inc.
发明人: Sergey Surkov , Mykola Pavlov , Andrii Kvachov
CPC分类号: G06F16/148 , G06F16/13
摘要: The present disclosure relates to linking electronic activities between systems of record based on a comparison of electronic activity signals and system of record signals. Indexed files can be generated for each of a plurality of record objects of a system of record. An electronic activity may be accessed. A search query may be generated. Match scores for the record objects may be generated. An association between an electronic activity and a record object may be stored. Instructions to link to the electronic activity to the record object may be transmitted.
-
公开(公告)号:US11610145B2
公开(公告)日:2023-03-21
申请号:US16898132
申请日:2020-06-10
申请人: People.ai, Inc.
发明人: Oleg Rogynskyy , Mykola Pavlov
摘要: The present disclosure relates to determining detecting blast electronic activities. A method can include identifying a plurality of first electronic activities transmitted by a first electronic account of a data source provider. For each first electronic activity of the plurality of first electronic activities, a plurality of features can be extracted. For at least one first electronic activity of the plurality of first electronic activities, a blast probability score can be generated indicating a likelihood that the at least one first electronic activity is a blast electronic activity. The blast probability score can be generated using a machine learning model trained using features extracted from second electronic activities labeled as blast electronic activities and features extracted from third electronic activities labeled as non-blast electronic activities. An association between the at least one first electronic activity and the blast probability score can be stored in a data structure.
-
公开(公告)号:US20230252330A1
公开(公告)日:2023-08-10
申请号:US18186504
申请日:2023-03-20
申请人: People.ai, Inc.
发明人: Oleg Rogynskyy , Mykola Pavlov
摘要: The present disclosure relates to determining detecting blast electronic activities. A method can include identifying a plurality of first electronic activities transmitted by a first electronic account of a data source provider. For each first electronic activity of the plurality of first electronic activities, a plurality of features can be extracted. For at least one first electronic activity of the plurality of first electronic activities, a blast probability score can be generated indicating a likelihood that the at least one first electronic activity is a blast electronic activity. The blast probability score can be generated using a machine learning model trained using features extracted from second electronic activities labeled as blast electronic activities and features extracted from third electronic activities labeled as non-blast electronic activities. An association between the at least one first electronic activity and the blast probability score can be stored in a data structure.
-
-