IP Library Patent Application 17244704
Patent Application
App. No. 17/244,704

SYSTEMS AND METHODS FOR CONTEXTUAL RETRIEVAL AND CONTEXTUAL DISPLAY OF RECORDS

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Quick Facts
Patent No.
US None
App. No.
17/244,704
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.

Claims (32)

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.

Assignments (2)
SECURITY INTEREST Recorded Feb 14, 2025
From: RIPCORD INC.
To: PARTNERS FOR GROWTH VII, L.P.
Reel/Frame 070222/0746 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 29, 2021
From: MOSKWINSKI, MICHAEL; FIELDING, ALEX; HALL, KEVIN C.; LEMBO, KIMBERLY
To: RIPCORD INC.
Reel/Frame 056708/0373 →