# US 2026/0093511 A1 · Enhanced user interface experiences generated using machine learning > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0093511 A1 - Document ID: US20260093511A1 - Status: Published application - Kind: A1 - Application number: 19/413,232 - Filed: 2025-12-09 - Published: 2026-04-02 - Earliest claimed: 2024-01-30 - Assignees: Netflix, Inc. - Applicants: Netflix, Inc. - Inventors: Cheng Ju - Web page: https://patentgrep.com/patent/US20260093511A1 ## CPC - G06F 9/453: {Help systems} - H04N 21/472: End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content {(end-user interfaces for retrieving video data from a database G06F16/739; network services for supporting unicast streaming H04L65/612)} - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION ## Abstract A computer-implemented method for predicting a user's help intent in relation to a digital streaming system and dynamically customizing a help display based on the predicted help intent. For example, embodiments discussed herein train a help intent machine learning model to generate help intent predictions based on various types of inputs. The embodiments discussed herein further leverage the generated help intent predictions to dynamically update a help display such that when a user lands on that display, predicted solutions that are customized to the user's most likely problem are immediately presented. Various other methods, systems, and computer-readable media are also disclosed. ## Claims ### Claim 1 A computer-implemented method comprising: receiving a request for rendering instructions for a help display of a digital streaming system on a client device; determining one or more navigation events associated with the digital streaming system; applying a machine learning model to the navigation events to generate a help intent prediction; and transmitting rendering instructions that include content based on the help intent prediction to the client device. ### Claim 2 (depends on 1) The computer-implemented method of claim 1, further comprising: determining the one or more navigation events associated with the digital streaming system over a previous predetermined amount of time; determining additional digital streaming system features associated with a digital streaming system user; replacing at least one portion of the rendering instructions with a portion of alternate rendering instructions based on the help intent prediction; and transmitting the rendering instructions including the portion of alternate rendering instructions to the client device for rendering on the client device. ### Claim 3 (depends on 2) The computer-implemented method of claim 2, wherein the previous predetermined amount of time is 24 hours. ### Claim 4 (depends on 2) The computer-implemented method of claim 2, wherein the additional digital streaming system features associated with the digital streaming system user comprise account features and streaming features. ### Claim 5 (depends on 4) The computer-implemented method of claim 4, wherein the account features comprise one or more of: a digital streaming system plan type associated with the digital streaming system user; a digital streaming system account age associated with the digital streaming system user; geographic information for a digital streaming system account associated with the digital streaming system user; or historical information indicated by the digital streaming system account associated with the digital streaming system user. ### Claim 6 (depends on 4) The computer-implemented method of claim 4, wherein the streaming features comprise one or more of: an amount of streaming time associated with a digital streaming system account of the digital streaming system user; a streaming frequency associated with the digital streaming system account of the digital streaming system user; a number of profiles associated with the digital streaming system account of the digital streaming system user; or a streaming history associated with the digital streaming system account of the digital streaming system user. ### Claim 7 (depends on 1) The computer-implemented method of claim 1, further comprising replacing at least one portion of the rendering instructions with additional rendering instructions for displaying selectable content associated with the help intent prediction. ### Claim 8 (depends on 1) The computer-implemented method of claim 1, wherein receiving the request for rendering instructions is via a digital streaming system application installed on the client device. ### Claim 9 (depends on 8) The computer-implemented method of claim 8, wherein the one or more navigation events associated with the digital streaming system comprise navigation events within the digital streaming system application. ### Claim 10 (depends on 1) The computer-implemented method of claim 1, further comprising generating rendering instructions for displaying selectable content associated with the help intent prediction. ### Claim 11 A system comprising: at least one physical processor; and physical memory comprising computer-executable instructions that, when executed by the at least one physical processor, cause the at least one physical processor to perform acts comprising: receiving a request for rendering instructions for a help display of a digital streaming system on a client device; determining one or more navigation events associated with the digital streaming system; applying a machine learning model to the navigation events to generate a help intent prediction; and transmitting rendering instructions that include content based on the help intent prediction to the client device. ### Claim 12 (depends on 11) The system of claim 11, wherein the computer-executable instructions, when executed by the at least one physical processor, further cause the at least one physical processor to: determine the one or more navigation events associated with the digital streaming system over a previous predetermined amount of time; determine additional digital streaming system features associated with a digital streaming system user; replace at least one portion of the rendering instructions with a portion of alternate rendering instructions based on the help intent prediction; and transmit the rendering instructions including the portion of alternate rendering instructions to the client device for rendering on the client device. ### Claim 13 (depends on 12) The system of claim 12, wherein the previous predetermined amount of time is 24 hours. ### Claim 14 (depends on 12) The system of claim 12, wherein the additional digital streaming system features associated with the digital streaming system user comprise account features and streaming features. ### Claim 15 (depends on 14) The system of claim 14, wherein the account features comprise one or more of: a digital streaming system plan type associated with the digital streaming system user; a digital streaming system account age associated with the digital streaming system user; geographic information for a digital streaming system account associated with the digital streaming system user; or historical information indicated by the digital streaming system account associated with the digital streaming system user. ### Claim 16 (depends on 14) The system of claim 14, wherein the streaming features comprise one or more of: an amount of streaming time associated with a digital streaming system account of the digital streaming system user; a streaming frequency associated with the digital streaming system account of the digital streaming system user; a number of profiles associated with the digital streaming system account of the digital streaming system user; or a streaming history associated with the digital streaming system account of the digital streaming system user. ### Claim 17 (depends on 11) The system of claim 11, wherein receiving the request for rendering instructions is via a digital streaming system application installed on the client device. ### Claim 18 (depends on 13) The system of claim 13, wherein the one or more navigation events associated with the digital streaming system comprise navigation events within a digital streaming system application. ### Claim 19 (depends on 11) The system of claim 11, wherein the computer-executable instructions, when executed by the at least one physical processor, further cause the at least one physical processor to replace at least one portion of the rendering instructions with additional rendering instructions for displaying selectable content associated with the help intent prediction. ### Claim 20 A non-transitory computer-readable medium comprising one or more computer-executable instructions that, when executed by at least one processor of a computing device, cause the computing device to: receive a request for rendering instructions for a help display of a digital streaming system on a client device; determine one or more navigation events associated with the digital streaming system; apply a machine learning model to the navigation events to generate a help intent prediction; and transmit rendering instructions that include content based on the help intent prediction to the client device.