Systems and methods for contextual retrieval and contextual display of records

Abstract

Provided are systems and methods for the contextual retrieval and contextual display of records. A search query and/or search results may be contextually enhanced based on (i) natural language processing (NLP) models, (ii) user behavior, and/or (iii) relationships between various entities involved in a search, such as between users, records, and/or fields of expertise. Contextually enhanced search results may be delivered and displayed to a user on a user interface in a contextually relevant order.

1 . A computer system for contextual enhancement of search queries, comprising:
 one or more processors; and   a memory, communicatively coupled to the one or more processors, including instructions executable by the one or more processors, individually or collectively, to implement a method for enhancing search queries, the method comprising:
 a) receiving from a user, via the user interface, a search query; 
 b) performing a taxonomy extraction on the search query to determine a taxonomy filter; 
 c) enhancing the search query by appending the taxonomy filter, to generate an enhanced search query; and 
 d) executing the enhanced search query. 
   
     
     
         2 . The computer system of  claim 1  wherein (b) comprises using a natural language processing (NLP) model definition to perform the taxonomy extraction on the search query to determine the taxonomy filter. 
     
     
         3 . The computer system of  claim 2 , wherein the NLP model definition is based at least in part on a pattern of part-of-speech. 
     
     
         4 . The computer system of  claim 2 , wherein the NLP model definition is based at least in part on a pattern of regular expression. 
     
     
         5 . The computer system of  claim 1 , wherein in (b) the taxonomy filter is determined in absence of additional user input. 
     
     
         6 . The computer system of  claim 1 , wherein in (c) the taxonomy filter is appended to the search query to generate the enhanced search query in absence of additional user input. 
     
     
         7 . A computer-implemented method for contextual enhancement of search queries, comprising:
 a) receiving from a user, via the user interface, a search query;   b) performing a taxonomy extraction on the search query to determine a taxonomy filter;   c) enhancing the search query by appending the taxonomy filter, to generate an enhanced search query; and   d) executing the enhanced search query.   
     
     
         8 . The computer-implemented method of  claim 7 , wherein (b) comprises using a natural language processing (NLP) model definition to perform the taxonomy extraction on the search query to determine the taxonomy filter. 
     
     
         9 . The computer-implemented method of  claim 8 , wherein the NLP model definition is based at least in part on a pattern of part-of-speech. 
     
     
         10 . The computer-implemented method of  claim 8 , wherein the NLP model definition is based at least in part on a pattern of regular expression. 
     
     
         11 . The computer-implemented method of  claim 7 , wherein in (b) the taxonomy filter is determined in absence of additional user input. 
     
     
         12 . The computer-implemented method of  claim 7 , wherein in (c) the taxonomy filter is appended to the search query to generate the enhanced search query in absence of additional user input. 
     
     
         13 . A non-transitory computer-readable medium comprising machine-executable code that, upon execution by one or more computer processors, implements a method for contextual enhancement of search queries, comprising:
 a) receiving from a user, via the user interface, a search query;   b) performing a taxonomy extraction on the search query to determine a taxonomy filter;   c) enhancing the search query by appending the taxonomy filter, to generate an enhanced search query; and   d) executing the enhanced search query.   
     
     
         14 . The non-transitory computer-readable medium of  claim 13 , wherein (b) comprises using a natural language processing (NLP) model definition to perform the taxonomy extraction on the search query to determine the taxonomy filter. 
     
     
         15 . The non-transitory computer-readable medium of  claim 14 , wherein the NLP model definition is based at least in part on a pattern of part-of-speech. 
     
     
         16 . The non-transitory computer-readable medium of  claim 14 , wherein the NLP model definition is based at least in part on a pattern of regular expression. 
     
     
         17 . The non-transitory computer-readable medium of  claim 13 , wherein in (b) the taxonomy filter is determined in absence of additional user input. 
     
     
         18 . The non-transitory computer-readable medium of  claim 13 , wherein in (c) the taxonomy filter is appended to the search query to generate the enhanced search query in absence of additional user input.