User activity history experiences powered by a machine learning model
US12380155B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 29, 2023 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Jun 29, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/438
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning techniques are leveraged to provide personalized assistance on a computing device. In some configurations a timeline of a user's interactions with the computing device is generated. For example, screenshots and audio streams may be saved as entries in the timeline. Context—the state of the computing device when the entry is created, such as which documents and websites are open—is also stored. Entries in the timeline are processed by a model to generate embedding vectors. The timeline may be searched by finding the embedding vector that is closest to an embedding vector derived from a search query. The user may select a query result, causing the associated context to be restored. For example, if the query is “show me all documents related to my upcoming trip to Japan”, the query result may open documents and websites that were open when booking a flight to Japan.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.