US 2026/0087240 A1Published application

Systems and methods for updating textual item descriptions using an embedding space

AssigneeCapital One Services, LLC

InventorsSamuel Sharpe, Galen Rafferty, Brian Barr, Jeremy Goodsitt, Michael Davis, Taylor Turner, Owen Reinert

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Abstract

Systems and methods are disclosed herein for generating updated descriptions of items based on analyzing candidate embeddings of semantic representations of item descriptions. The system may obtain a text file describing an item. The system may provide the text file to a generative language model to generate semantic representations of the text file. The system may generate, based on the text file, candidate embeddings in an embedding space. The system may obtain embeddings associated with existing items. The system may determine subsets of the embeddings within a threshold distance. The system may compare the subsets. The system may determine attributes associated with a candidate embedding based on the comparison. The system may generate an updated text file based on the attributes.

Claims20

Dependent claims

A system for updating textual descriptions of items based on existing descriptions within an embedding space, the system comprising:

one or more processors;
and
one or more non-transitory, computer-readable medium storing instructions that, when executed by the one or more processors, cause operations comprising:
in connection with receiving a text file comprising one or more semantic tokens for a textual description of an item, providing the text file to a generative model to cause the generative model to generate a first semantic representation of the textual description and a second semantic representation of the textual description different from the first semantic representation;
generating, in an embedding space, a first embedding of the first semantic representation and a second embedding of the second semantic representation;
determining a first subset and a second subset of a plurality of embeddings of semantic representations of text associated with a set of existing items, the first subset comprising embeddings that are within a threshold distance from the first embedding within the embedding space and the second subset comprising embeddings that are within the threshold distance from the second embedding within the embedding space;
in response to determining that the first subset is smaller than the second subset, determining one or more attributes associated with the first embedding;
and
generating, based on the text file and the one or more attributes, an updated text file comprising an updated textual description.

6 more elements

A method comprising:

causing a generative model to generate a first representation of a textual description provided to the generative model and a second representation of the textual description different from the first representation;
generating, in an embedding space, a first embedding of the first representation and a second embedding of the second representation;
determining a first subset of a plurality of embeddings of representations of text associated with a set of existing items that are within a threshold distance from the first embedding within the embedding space and a second subset of the plurality of embeddings that are within the threshold distance from the second embedding within the embedding space;
based on comparing the first subset with the second subset, determining one or more attributes associated with the first embedding;
and
generating, based on the textual description and the one or more attributes, an updated textual description.

3 more elements

One or more non-transitory, computer-readable media comprising instructions that, when executed by one or more processors, cause operations comprising:

causing a model to generate a first representation of a textual description provided to the model and a second representation of the textual description different from the first representation;
determining a first subset of a plurality of embeddings of representations of text associated with a set of existing items that are within a threshold distance from a first embedding of the first representation within an embedding space and a second subset of the plurality of embeddings that are within the threshold distance from a second embedding of the second representation within the embedding space;
based on comparing the first subset with the second subset, determining one or more attributes associated with the first embedding;
and
generating, based on the textual description and the one or more attributes, an updated textual description.

2 more elements

Dependencies are inferred from the claim text.

Facts

Application: 19/404,833Filed 1 Dec 2025
Priority: 10 Jan 2024
Published: 26 Mar 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification10 codes

G06F 40/166
Text processing: editing, e.g. inserting or deleting
G06F 40/284
Recognition of textual entities: lexical analysis, e.g. tokenisation or collocates
G06F 40/30
Handling natural language data: semantic analysis
G06F 40/56
Rule-based translation: natural language generation

Family

Application18/409,494Continuation · filed 10 Jan 2024
Application19/404,833Continuation
US 12,505,281 B2Related patent
US 2025/0225314 A1Published application
US 2026/0087240 A1This patent

From the US filing history. Foreign family members aren’t listed.

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