{
  "$type": "site.standard.document",
  "description": "A method, system and computer program product for determining personalized recommendations of EVCPs based on contextual charging behavior of a user are disclosed. The method includes determining that the user needs to charge the electric vehicle; determining contextual conditions related to…",
  "path": "/patents/1389294",
  "publishedAt": "2026-06-11T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60L53/66",
    "HERE GLOBAL B.V."
  ],
  "textContent": "A method, system and computer program product for determining personalized recommendations of EVCPs based on contextual charging behavior of a user are disclosed. The method includes determining that the user needs to charge the electric vehicle; determining contextual conditions related to personal preferences of the user, a vehicle type of the electric vehicle and/or a location of the electric vehicle; determining features and contextual conditions related to the EVCPs; preparing a list of EVCPs in a predetermined distance from the location of the electric vehicle; ranking, by a trained machine learning model, the list of EVCPs based on the contextual conditions related to personal preferences of the user, the vehicle type of the electric vehicle and/or the location of the electric vehicle; and providing, by a vehicle interface system, a portion of the ranked list of the one or more EVCPs.",
  "title": "PERSONALIZED RECOMMENDATIONS OF EV CHARGE POINTS THROUGH MACHINE LEARNING OF CONTEXTUAL CHARGING BEHAVIORS"
}