29. A machine-readable non-transitory medium having information recorded thereon for information search and retrieval, when read by the machine, causes the machine to perform the following: obtaining a query via a communication platform; processing the query to generate a feature-based vector characterizing the query; generating a semantic-based representation of the query based on the feature-based vector, wherein the semantic-based representation has a reduced dimension; constructing a reconstructed feature-based vector based on the semantic-based representation of the query, by mapping the semantic-based representation to a feature space of the feature-based vector; comparing the feature-based vector with the reconstructed feature-based vector to identify a difference between the feature-based vector and the reconstructed feature-based vector; forming a residual feature-based representation of the query based on the difference between the feature-based vector and the reconstructed feature-based vector; generating a unified representation of the query based on the semantic-based representation and the residual feature-based representation, wherein the unified representation integrates semantic and residual feature based characterizations of the query; retrieving information relevant to the query from an information archive based on the unified representation of the query; generating a query response based on the information relevant to the query retrieved from the information archive; and transmitting the query response to respond to the query.
29. A machine-readable non-transitory medium having information recorded thereon for information search and retrieval, when read by the machine, causes the machine to perform the following: obtaining a query via a communication platform; processing the query to generate a feature-based vector characterizing the query; generating a semantic-based representation of the query based on the feature-based vector, wherein the semantic-based representation has a reduced dimension; constructing a reconstructed feature-based vector based on the semantic-based representation of the query, by mapping the semantic-based representation to a feature space of the feature-based vector; comparing the feature-based vector with the reconstructed feature-based vector to identify a difference between the feature-based vector and the reconstructed feature-based vector; forming a residual feature-based representation of the query based on the difference between the feature-based vector and the reconstructed feature-based vector; generating a unified representation of the query based on the semantic-based representation and the residual feature-based representation, wherein the unified representation integrates semantic and residual feature based characterizations of the query; retrieving information relevant to the query from an information archive based on the unified representation of the query; generating a query response based on the information relevant to the query retrieved from the information archive; and transmitting the query response to respond to the query. 30. The medium of claim 29 , wherein the unified representation of the query further includes a blurred feature-based representation generated by modifying the feature-based vector based on the reconstructed feature-based vector.