US 12,711,540 B1Granted

Generative artificial intelligence (AI) driven similarity search

AssigneeBby Solutions, Inc.

InventorsRambabu Raipati, Kannan Swaminathan

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Abstract

Artificial intelligence (AI) techniques are applied for information retrieval and filtering, including with AI-driven search results and interactions that identify similar or related products within e-commerce environments. A method for performing a similarity search assisted by a generative AI model includes: receiving a request for a similarity search that is provided in response to a user interaction received in a user interface, and that includes a product identifier of a selected product; generating a search query to perform the similarity search, using at least one AI model that generates the search query based on attributes associated with the selected product; performing the similarity search with the generated search query on a product catalog; selecting similarity search results in response to performing the similarity search on the product catalog; and presenting the similarity search results in the user interface.

Claims20

Dependent claims

A method for performing a similarity search assisted by a generative artificial intelligence (AI) model, the method comprising operations executed using at least one processor of a computing device, and the operations comprising:

receiving a request for a similarity search, wherein the request for the similarity search is provided in response to a user interaction received in a user interface, and wherein the request for the similarity search includes a product identifier of a selected product already displayed in the user interface;
generating a search query to perform the similarity search, using at least one AI model, wherein the at least one AI model generates the search query based on multiple attributes associated with the selected product, wherein the multiple attributes are identified by the at least one AI model with operations including:
providing the product identifier as input to a first application programming interface (API);
invoking the at least one AI model via the first API, to analyze product data associated with the product identifier and generate multiple attributes of the selected product;
and
receiving a generated search query, via the first APL produced from the multiple attributes:
performing the similarity search with the generated search query on a product catalog, without a user provided command to invoke the generated search query with operations including;
providing the generated search query as input to a second API;
invoking the second API to automatically perform searches on the product catalog using the generated search query;
and
receiving similarity search results, via the second API based on use of the generated search query;
sorting the similarity search results in response to performing the similarity search on the product catalog;
and
presenting the similarity search results in the user interface, wherein the similarity search results include one or more products identified as similar to the selected product.

11 more elements

A non-transitory computer-readable storage medium, the computer-readable storage medium comprising instructions that, when executed by processor circuitry and memory of a computing device, causes the computing device to provide similarity search results via a user interface, with operations that:

receive a request for a similarity search, wherein the request for the similarity search is provided in response to a user interaction received in a user interface, and wherein the request for the similarity search includes a product identifier of a selected product already displayed in the user interface;
generate a search query to perform the similarity search, using at least one AI model, wherein the at least one AI model generates the search query based on multiple attributes associated with the selected product, wherein the multiple attributes are identified by the at least one AI model with operations that:
provide the product identifier as input to a first application programming interface (API);
invoke the at least one AI model via the first API, to analyze product data associated with the product identifier and generate multiple attributes of the selected product;
and
receive a generated search query, via the first API, produced from the multiple attributes;
perform the similarity search with the generated search query on a product catalog, without a user-provided command to invoke the generated search query, with operations that:
provide the generated search query as input to a second API;
invoke the second API to automatically perform searches on the product catalog using the generated search query;
and
receive similarity search results, via the second API, based on use of the generated search query;
sort the similarity search results in response to performing the similarity search on the product catalog;
and
present the similarity search results in the user interface, wherein the similarity search results include one or more products identified as similar to the selected product.

11 more elements

Dependencies are inferred from the claim text.

Facts

Application: 19/358,264Filed 14 Oct 2025
Granted: 18 Aug 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification4 codes

G06Q 30/0643
Utilising user interfaces specially adapted for shopping: graphically representing goods, e.g. 3D product representation
G06Q 30/0625
By investigating goods or services: by formulating product or service queries, e.g. using keywords or predefined options
G06Q 30/06313
Recommending goods or services: based on similarity of goods or services, e.g. substitute or alternate goods or services
G06Q
Information and communication technology [ict] specially adapted for administrative, commercial, financial, managerial