公开(公告)号：US20250148364A1

公开(公告)日：2025-05-08

申请号：US18815781

申请日：2024-08-26

Applicant: Google LLC

Inventor： Joshua Brian Braverman ,  Camille Wormser ,  César Augusto Naranjo ,  Alexey Vaysburd ,  Dorothea Wiesmann Rothuizen ,  Brian Michael Burdick ,  Jason Sean Krueger ,  Xiaoxuan Zhang ,  Sergiu Ion Goschin

IPC: G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enabling artificial intelligence to display responses in a conversational user interface that are tailored to a user of the interface, to predicted future states, and/or to predicted trajectories that include transitions between multiple states. In one aspect, a method includes initiating a user session with a conversational user interface of an artificial intelligence system that displays, within the conversational user interface, responses to user interactions received during the user session, the responses being generated using one or more machine learning models of the artificial intelligence system. During the user session, the system receives data indicating one or more user interactions within the conversational user interface by a user. The system updates a state record that represents a first state. The system processes the state record to determine potential trajectories for the user session.

公开(公告)号：US20250086434A1

公开(公告)日：2025-03-13

申请号：US18824530

申请日：2024-09-04

Applicant: Google LLC

Inventor： Dorothea Wiesmann Rothuizen ,  Vincent Leroy ,  Sai Meher Karthik Duddu ,  Raphael Dominik Hoffmann ,  Dan Beat Kluser ,  Iftekhar Naim

IPC: G06N3/0455

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enabling artificial intelligence (AI) to evaluate attributes of items and use the results of the evaluation to provide relevant content. In one aspect, a method includes receiving, by an AI system and from a client device of a user, a first query of a user session. For each additional query, the AI system generates input data based on the additional query and data related to one or more previous queries received during the user session. The AI system provides the input data as an input to a machine learning model trained to output attributes of items and importance data indicating a relative importance of the attributes based on received inputs. The AI system selects one or more digital components based on the set of attributes and the importance data output by the model.