Method and server for generating an enriched query

A method of generating an enriched query for a user of an electronic device, the method being performed by at least one server communicatively coupled to the electronic device, the at least one server hosting a search engine, the method executable by the at least one server, the method comprising:

• acquiring, by the at least one server, query data associated with a query submitted by the user;
• generating, by the at least one server employing a model, a first candidate string and a second candidate string based on the query data and being respective candidates for the enriched query;
• determining, by the at least one server, a first plurality of search results based on the first candidate string;
• determining, by the at least one server, a second plurality of search results based on the second candidate string;
• in response to the first plurality of search results and the second plurality of search results sharing at least a pre-determined number of search results,
• determining, by the at least one server, that the first candidate string and the second candidate string are a pair of similar strings;
• and
• causing, by the at least one server, display of only one of the pair of candidate strings as the enriched query on the electronic device.

A system for generating an enriched query for a user of an electronic device, the system communicatively coupled to the electronic device, the system hosting a search engine, the system comprising at least one processor and memory comprising executable instructions, which, when executed by the at least one processor, cause the system to:

• acquire an indication of a user query from the electronic device, the user query associated with query data;
• generate, by a first machine learning algorithm, a first candidate string and a second candidate string based on the query data, the first candidate string and the second candidate string being respective candidates for the enriched query;
• determine, by inputting the first candidate string and the second candidate string into a second machine learning algorithm, that the first candidate string and the second candidate string are a pair of similar candidate strings, wherein the second machine learning algorithm was trained to predict a likelihood that a first string is similar to a second string, and wherein the second machine learning algorithm was trained in a pair-wise configuration based on a training set,
• the training set including a first training string representative of a first training query, a second training string representative of a second training query, and a label,
• the label being indicative of a similarity between the first training string with the second training string, the label having been determined based on a comparison of a first training document relevant to the first training query against a second training document relevant to the second training query;
• and
• cause display of only one of the pair of similar candidate strings as the enriched query on the electronic device.