Machine Assisted Query Formulation

A computer-implemented system that facilitates Internet-based interactions for machine assisted query formulation, comprising:

• a processor;
• a classifier that receives a partial query input for a search;
• a syntactical processing component that analyzes structure of words or symbols used in the partial query input to generate content of the partial query input;
• a database management system that indexes information to identify a database to access based on the content of the partial query input, the database to include query information about search habits, search content, and most recent used data of a user submitting the partial query input;
• wherein the classifier, as a part of a machine learning and reasoning component, retrieves from the database, similar or matching character sets, terms, or phrases, which are inferred over observations for completing the partial query input;
• and
• a query formulation component that generates a formal query based at least in part on the similarities or the matches derived from the query information and the partial query input.

A method executed on a processor, the method comprising:

• receiving a partial query input for a search;
• logging and associating information with the partial query input, the information includes context information or geolocation information;
• analyzing and comparing, on the processor, the partial query input against the associated information for probable matching query data;
• and
• performing, on the processor, classification processing to infer query information based on the probable matching query data for completing the partial query input.