US 2026/0228412 A1 · CONVERSATION-BASED VIRTUAL ASSISTANT

Abstract

Examples may be related to developing a conversation-based virtual assistant. An example may involve: obtaining, from a user, a query selecting one or more items from at least one list of items; determining context information associated with the at least one list of items; obtaining at least one template including a position reference placeholder; generating at least one prompt, based at least in part, by replacing the position reference placeholder with a plurality of position reference terms such that each position reference term corresponds to a different manner of referring to an item position; training a natural language model by using the at least one prompt; inputting the query and the context information to the trained natural language model to identify the one or more items selected by the query and generate a response referring to the identified one or more items; and presenting the response to the user.

Claims20

Dependent claims

A system, comprising:

a processor;
and
a non-transitory memory storing instructions, that when executed, cause the processor to:
provide at least one list of items to a user,
obtain, from the user, a query selecting one or more items from the at least one list,
determine context information associated with the at least one list of items,
obtain at least one template that includes a position reference placeholder,
generate at least one prompt, based at least in part, by replacing the position reference placeholder with a plurality of position reference terms such that each position reference term corresponds to a different manner of referring to an item position,
train a natural language model by using the at least one prompt,
input the query and the context information to the trained natural language model to identify the one or more items selected by the query and generate a response referring to the identified one or more items, and
present the response to the user via a user interface.

8 more elements

A computer-implemented method, comprising:

providing at least one list of items to a user;
obtaining, from the user, a query selecting one or more items from the at least one list;
determining context information associated with the at least one list of items;
obtaining at least one template that includes a position reference placeholder;
generating at least one prompt, based at least in part, by replacing the position reference placeholder with a plurality of position reference terms such that each position reference term corresponds to a different manner of referring to an item position;
training a natural language model by using the at least one prompt;
inputting the query and the context information to the trained natural language model to identify the one or more items selected by the query and generate a response referring to the identified one or more items;
and
presenting the response to the user via a user interface.

6 more elements

Dependencies are inferred from the claim text.

Conversation-based virtual assistant

Life of this patent

Conversation-based virtual assistant

Life of this patent

Abstract

Claims20