Techniques for associating domain-specific terms for information discovery

A device for information discovery using domain-specific term matching, comprising:

• a memory storing instructions;
• and
• at least one processor coupled to the memory and configured to execute the instructions to:
• obtain, for a search session related to a domain, a set of search strings used for searching the domain for information discovery during the search session;
• identify, for the search session, a string of the set of search strings as a search string hit, based on selection of a search result returned for the string to end the search session, and remaining strings in the set of search strings as search string misses;
• correlate, into a set of domain-specific search string misses, the remaining strings in the set of search strings with additional remaining search strings from one or more other search session related to the domain that have a same string identified as the search string hit;
• and
• provide the set of domain-specific search string misses along with the search string hit to a machine learning (ML) model that provides the search string hit as output given an input of at least one search string miss of the set of domain-specific search string misses or an input string having a certain distance from the at least one search string miss that is computed using a string similarity algorithm.

A non-transitory computer-readable medium storing instructions thereon that, when executed by at least one computing device, causes the at least one computing device to perform operations for information discovery using domain-specific term matching, comprising:

• obtaining, for a search session related to a domain, a set of search strings used for searching the domain for information discovery during the search session;
• identifying, for the search session, a string of the set of search strings as a search string hit, based on selection of a search result returned for the string to end the search session, and remaining strings in the set of search strings as search string misses;
• correlating, into a set of domain-specific search string misses, the remaining strings in the set of search strings with additional remaining search strings from one or more other search session related to the domain that have a same string identified as the search string hit;
• and
• providing the set of domain-specific search string misses along with the search string hit to a machine learning (ML) model that provides the search string hit as output given an input of at least one search string miss of the set of domain-specific search string misses or an input string having a certain distance from the at least one search string miss that is computed using a string similarity algorithm.