Method and apparatus of recommending candidate terms based on geographical location

A machine learning method comprising:

• receiving, from a user device, a sequence of at least one letter;
• determining location information associated with the user device;
• mapping the received sequence of at least one letter and the location information with a database of multiple terms, the database relating a term to a stored sequence of at least one letter and a location range based on a historical correlation between the term and the stored sequence of at least one letter in the location range;
• providing a candidate term out of the multiple terms as corresponding to the received sequence of at least one letter based on the mapping;
• displaying the candidate term as corresponding to the received sequence of at least one letter;
• receiving a user feedback on the candidate term;
• and
• updating the database based on the user feedback.

A method comprising:

• providing a server including a database of multiple terms, the database relating a term to a stored sequence of at least one letter and a geographic area based on a historical correlation between the term and the stored sequence of at least one letter in the geographic area;
• and
• providing a set of executable instructions configured to be installed in a user device, which, when installed in the user device and executed by a processing unit of the user device, are operable to configure the processing unit to perform operations including:
• detecting a user input into the user device;
• acquiring a sequence of at least one letter from the detected user input;
• transmitting the acquired sequence of at least one letter to the server for the server to map the acquired sequence of at least one letter with the database of the multiple terms based on location information of the user device to obtain a candidate term;
• receiving the candidate term from the server;
• and
• displaying the candidate term as corresponding to the user input.