{
  "$type": "site.standard.document",
  "description": "A method for determining an estimated time of arrival (ETA) includes receiving a start location and a destination from a user device via a network. The method also includes obtaining a machine learning model for determining an ETA, which is generated according to a process including: obtaining…",
  "path": "/patents/1257968",
  "publishedAt": "2020-03-26T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01C21/3697",
    "BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD."
  ],
  "textContent": "A method for determining an estimated time of arrival (ETA) includes receiving a start location and a destination from a user device via a network. The method also includes obtaining a machine learning model for determining an ETA, which is generated according to a process including: obtaining historical data related to an on-demand service order; determining a high-dimensional sparse feature based on the historical data; and determining a machine learning model based on the high-dimensional sparse feature. The method further includes determining an ETA for a target route based on the machine learning model, the start location, and the destination, and transmitting the determined ETA to the user device via the network.",
  "title": "SYSTEMS AND METHODS FOR DETERMINING ESTIMATED TIME OF ARRIVAL"
}