- 专利标题： Processing data inputs from alternative sources using a neural network to generate a predictive model for user stock recommendation transactions
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申请号： US17873024申请日： 2022-07-25
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公开(公告)号： US12093795B2公开(公告)日： 2024-09-17
- 发明人: Damian Ariel Scavo
- 申请人： Nowcasting.ai, Inc.
- 申请人地址： US NY New York
- 专利权人： NOWCASTING.AI, INC.
- 当前专利权人： NOWCASTING.AI, INC.
- 当前专利权人地址： US CA Palo Alto
- 代理机构： Procopio, Cory, Hargreaves & Savitch LLP
- 主分类号： G06Q10/0633
- IPC分类号： G06Q10/0633 ; G06F16/215 ; G06F16/2458 ; G06F16/25 ; G06F16/28 ; G06N3/08 ; G06N20/00 ; G06Q10/0639 ; G06Q30/0202 ; G06Q30/0282 ; G06Q40/04 ; G06Q40/06 ; G06Q40/12 ; H04L67/55 ; G06N3/084
摘要：
A computer-implemented method includes a method comprising using at least one hardware processor to: receive a plurality of data from a plurality of data sources; standardize the plurality of data; tag the standardized plurality of data with one or more companies; train a prediction model to predict a metric for each of the one or more companies based on the standardized plurality of data tagged with that company and historical measurements for that company; and apply the prediction model to new data to predict the metric for at least one of the one or more companies.
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