Systems and methods for optimizing reengagement with a content item by leveraging advanced memory-related techniques

The reengagement system uses neural networks and search algorithms to create personalized content reminders, addressing the challenge of users forgetting where they left off, optimizing resource usage and enhancing reengagement efficiency.

WO2026128904A1 Publication Date: 2026-06-18ADEIA GUIDES INC
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
ADEIA GUIDES INC
Filing Date
2025-12-15
Publication Date
2026-06-18

AI Technical Summary

⚠Technical Problem

Content systems struggle to effectively assist users in recalling where they left off after a period of disengagement, often requiring users to re-watch large portions of content to jog their memory, wasting computing resources and time.

⚗Method used

A reengagement system uses advanced memory-related techniques, including neural networks and search algorithms, to identify the most memorable parts of content and generate personalized reengagement cues, such as thumbnails or video segments, tailored to individual user preferences and device capabilities.

🎯Benefits of technology

Enhances user reengagement by providing relevant content reminders, optimizing resource usage, and personalizing the reengagement experience based on individual memory patterns and device characteristics.

✦ Generated by Eureka AI based on patent content.

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Abstract

Systems and methods are provided for optimizing reengagement with a content item by leveraging advanced memory-related techniques. At a first time, a user is determined to be disengaged from consuming a content item at a first position within the content item. A reengagement cue is determined by selecting a plurality of portions of the content item, wherein the plurality of portions of the content item are positioned in the content item prior to the first position within the content item. A respective memorability score is determined for each of the plurality of portions. A subset of the plurality of portions is identified based on the respective memorability scores. The reengagement cue is generated based at least part of each of the portions in the subset. At a second time, based at least in part on receiving a request to reengage with the content item, the reengagement cue is presented.
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