User Text Content Correlation with Location
AssigneeJaguar Land Rover Limited
InventorsAdam Grzywaczewski, Lech Birek, Adam Gelencser
Life of this patent
Estimating the term…
Abstract
A predictive modelling system for predicting location data from user textual data comprising: an input for receiving user data, the user data comprising user textual data and location data; a pre-processing module arranged to correlate user textual data with location data to form a set of correlated data; a training module arranged to use the set of correlated data to train a machine learning algorithm such that the algorithm is arranged to output predicted location data from an input textual query.
Claims21
A system for predicting location data from user textual data, the system comprising:
- an input that receives user data, the user data comprising user textual data and location data;
- a pre-processing module that clusters the location data into a plurality of cluster centers and that correlates the user textual data with the location data to form a set of correlated data;
- and
- a training module that uses the set of correlated data to train a machine learning algorithm such that the algorithm outputs predicted location data from an input textual query.
(canceled)
(canceled)
A system for predicting location data from user textual data, the system comprising:
- an input that receives user data, the user data comprising user textual data;
- a pre-processing module that correlates the user textual data with location data to form a set of correlated data;
- a training module that uses the set of correlated data to train a machine learning algorithm such that the algorithm outputs predicted location data from an input textual query;
- and
- an output arranged to output the predicted location data for the user based on the received user textual data.
A method of training a machine learning algorithm, the method comprising:
- receiving user data, the user data comprising user textual data from a user calendar and location data;
- clustering the location data into a plurality of cluster centers;
- correlating the user textual data with the location data to form a set of correlated data;
- using the set of correlated data to train a machine learning algorithm such that the algorithm outputs predicted location data from an input textual query.
21-22. (canceled)
Dependencies are inferred from the claim text.