Search-result explanation systems and methods

A non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• generating an expanded search query by expanding a search query into a plurality of sub-queries, each sub-query comprising a query component of the search query;
• determining, from the expanded search query, a search result for a first sub-query of the plurality of sub-queries, the search result comprising a field value;
• generating, based on the search result from the expanded search query, a new in-memory index by re-indexing the search result in computer memory for refined searching;
• determining, utilizing a machine learning model or a rule-based model to process the new in-memory index, a match score for the field value and a corresponding query component of the first sub-query based at least on a match type between the field value and the corresponding query component;
• generating, utilizing a search-result explanation module based on the match score, a search-result explanation indicating why the search result matched the search query;
• and
• generating an explanation interface to be displayed for the search result, the explanation interface comprising the search-result explanation.

A computer system comprising:

• one or more processors;
• and
• one or more hardware storage devices having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computer system to:
• generate an expanded search query by expanding a search query into a plurality of sub-queries, each sub-query comprising a query component of the search query;
• determine, from the expanded search query, a search result for a first sub-query of the plurality of sub-queries, the search result comprising a field value;
• generate, based on the search result from the expanded search query, a new in-memory index by re-indexing the search result in computer memory for refined searching;
• determine, utilizing a machine learning model or a rule-based model to process the new in-memory index, a match score for the field value and a corresponding query component of the first sub-query based at least on a match type between the field value and the corresponding query component;
• generate, utilizing a search-result explanation module based on the match score, a search-result explanation indicating why the search result matched the search query;
• and
• generate an explanation interface to be displayed for the search result, the explanation interface comprising the search-result explanation.