{
  "$type": "site.standard.document",
  "description": "Methods described herein relate to identifying a context of a client, and more particularly, to identifying a context of a client while maintaining data privacy and anonymity. Methods may include: providing a machine learning model to a client; receiving a state vector from the client; determining…",
  "path": "/patents/1417769",
  "publishedAt": "2024-11-06T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01C21/20",
    "HERE GLOBAL BV [NL]"
  ],
  "textContent": "Methods described herein relate to identifying a context of a client, and more particularly, to identifying a context of a client while maintaining data privacy and anonymity. Methods may include: providing a machine learning model to a client; receiving a state vector from the client; determining, based on using the state vector as input to the machine learning model, a representative location of the client; and providing, to the client, location-related services or information based on the representative location of the client. The representative location of the client may include a context vector. The context vector may include an indication of a count of points-of-interest for a respective category of a plurality of categories of points-of-interest. A corresponding apparatus and computer program product are also provided.",
  "title": "METHOD AND APPARATUS FOR FEDERATED LOCATION FINGERPRINTING"
}