Method for Predicting Travel Destinations Based on Historical Data
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United States of America Patent
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Issued Date -
May 14, 2015
app pub date -
Nov 12, 2013
filing date -
Nov 12, 2013
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Abandoned
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Abstract
The embodiments of the invention provide a method in a navigation system, for predicting travel destinations according to a history of destinations. A model used for the prediction incorporates a database of destinations, which can include favorite, i.e., most probable, destinations for a user. The model also uses a context that can include features such as a current time of day, day of week, current location, current direction, past location, weather, and so on. The model infers the destination and destination categories even when the destination is not known precisely. Specifically, a method predicts destinations during travel, based on feature vectors representing current states of the travel, probabilities of destinations and categories of the destinations using a predictive model representing previous states of the travel. A subset of the destinations and categories of the destinations with highest probabilities are output for user selection.
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