Google patents system that predicts when your interests shift
This filing describes a method for recommending content by tracking how a user's focus moves from one topic to another over time. It uses historical data to identify common patterns of interest change and estimates how long it takes for a user to transition between related topics.
In the filing’s own words
Disclosed implementations for content recommendation. In an example implementation, a current entity of interest is determined based on interaction data associated with a period of time. A next entity of interest and a transition timeframe is determined based on the current entity, the period of time, and a plurality of interest movement patterns. Each interest movement pattern of the plurality of interest movement patterns is associated with a respective entity pair and a respective transition time. The respective transition time and the respective entity pair being identified from user interaction histories. A recommended content item is identified based on the current entity of interest and the next entity of interest, The recommended content item is provided based on the transition timeframe.
What exactly they claim (claim 1)
1. A method comprising: determining a current entity of interest based on interaction data associated with a period of time; determining a next entity of interest and a transition timeframe based on the current entity, the period of time, and a plurality of interest movement patterns, wherein each interest movement pattern of the plurality of interest movement patterns is associated with a respective entity pair and a respective transition time, the respective transition time and the respective entity pair being identified from user interaction histories; identifying a recommended content item based on the current entity of interest and the next entity of interest; and providing the recommended content item based on the transition timeframe.
Facts
- Company
- Google (Google LLC)
- Official title
- INTEREST DECAY AND MIGRATION ANALYSIS FOR CONTENT RECOMMENDATION
- Publication number
- US20260301043A1
- Application number
- 19089532
- Filed
- Mar 25, 2025
- Published
- Oct 1, 2026
- Inventors
- 1
- Claims
- 20
Classified under
G06Q 30/0631 Physics & computingMore from Google in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.