- 专利标题： Processing data inputs from alternative sources using a neural network to generate a predictive panel model for user stock recommendation transactions
-
申请号： US17350660申请日： 2021-06-17
-
公开(公告)号： US11416779B2公开(公告)日： 2022-08-16
- 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 NY New York
- 代理机构： Procopio, Cory, Hargreaves & Savitch LLP
- 主分类号： G06N20/00
- IPC分类号： G06N20/00 ; G06Q40/04 ; G06Q30/02 ; G06F16/215 ; G06Q40/06 ; G06N3/08 ; G06Q40/00 ; G06Q10/06 ; H04L67/55 ; G06F16/28 ; G06F16/2458 ; G06F16/25
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.
公开/授权文献
信息查询
