User Text Content Correlation with Location

Adam Grzywaczewski; Lech Birek; Adam Gelencser; Rahat Iqbal; Faiyaz Doctor

User Text Content Correlation with Location

Adam Grzywaczewski (Inventor)
, Lech Birek (Inventor)
, Adam Gelencser (Inventor)
, Rahat Iqbal (Inventor)
, Faiyaz Doctor (Inventor)

Jaguar Land Rover

Research output: Patent

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.

Original language	English
Patent number	US20170013408A1
IPC	H04W 4/02,G06N 99/00
Priority date	4/02/14
Filing date	4/02/15
Publication status	Published - 12 Jan 2017

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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.",

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AU - Birek, Lech

AU - Gelencser, Adam

AU - Iqbal, Rahat

AU - Doctor, Faiyaz

PY - 2017/1/12

Y1 - 2017/1/12

N2 - 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.

AB - 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.

UR - https://register.epo.org/application?number=EP15710111&lng=en&tab=main

M3 - Patent

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User Text Content Correlation with Location

Abstract

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