Semantic Similarity Content Tracking for Electronic Devices
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Solution Overview
Problem
Users of electronic devices must frequently visit websites to check for updates in content, such as news or images, even if no new information is available, which is inefficient.
Innovation Solution
An electronic device with a communication circuit and processor configures to identify a tracking target item, search for related content, and notify the user of updates based on semantic similarity, allowing users to receive notifications without individually visiting websites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users frequently visit websites to check for content updates, then users can obtain new information, but users waste time and effort even when no new information is available
Solution Approach 1:
The patent introduces a server as an intermediary between content providers and users. The server automatically monitors content updates and pushes notifications to users, eliminating the need for users to repeatedly visit websites. The server acts as a mediator that handles the information acquisition task, resolving the contradiction between timely information access and time consumption.
Solution Approach 2:
The system performs preliminary actions by having users register their interests in advance and having the server proactively monitor for updates. Instead of users reacting by visiting websites, the server takes preliminary monitoring actions and notifies users only when relevant updates occur, reducing unnecessary time expenditure while maintaining information timeliness.
2Loss of information
If users manually visit websites to check for updates, then users can access new content, but the process requires active user participation and frequent manual operations
Solution Approach 1:
The system implements self-service by enabling users to register their content interests once, after which the server autonomously monitors and manages update detection. Users no longer need to manually visit websites or perform repeated checks; the system serves itself by automatically handling content monitoring and notification delivery, greatly simplifying user operations while ensuring new content availability.
Solution Approach 2:
The server acts as an intermediary that handles the complex task of monitoring multiple content sources, comparing updates, and determining relevance. This mediates between content providers and users, performing the operational work that would otherwise require frequent manual user intervention, thus reducing operation complexity while maintaining content availability.
3Loss of information
If the system monitors all content updates, then users receive comprehensive information, but the system consumes excessive computational resources and processing power
Solution Approach 1:
The patent applies local quality by customizing content monitoring according to individual user interests and preferences. Instead of uniformly monitoring all content updates for all users, the system selectively monitors only relevant content areas for each user. This localized approach ensures comprehensive coverage of user-specific interests while reducing overall computational resource consumption by avoiding unnecessary monitoring of irrelevant content.
Solution Approach 2:
The system changes parameters by dynamically adjusting monitoring based on user-defined criteria, content relevance thresholds, and update frequencies. By modifying these parameters according to user profiles and content types, the system achieves comprehensive information coverage for relevant topics while optimizing resource consumption by reducing monitoring intensity for less important content areas.
4Loss of information
If the system sends notifications for all content changes, then users receive complete update information, but users experience information overload and distraction from irrelevant updates
Solution Approach 1:
The system applies local quality by customizing notification content and delivery based on individual user preferences, historical behavior, and relevance criteria. Instead of sending uniform notifications for all content changes, the system selectively notifies users about updates that are locally optimized for their specific interests and context. This ensures complete notification of relevant updates while filtering out irrelevant ones, preventing information overload and user distraction.
Solution Approach 2:
The system implements feedback mechanisms by analyzing user responses to notifications, such as reading behavior, interaction patterns, and explicit preferences. This feedback is used to continuously refine notification filtering and relevance determination, improving the balance between complete update notification and preventing information overload. The feedback loop enables the system to learn from user behavior and adjust notification strategies accordingly.
Data Source
AI summary
An apparatus and method for tracking content are provided. The apparatus is an electronic device that includes a communication circuit and a processor electrically connected to the communication circuit. The processor may be configured to receive information about a tracking target item from an external electronic device, to receive content from a content provider, determine a degree of semantic similarity between the tracking target item and the content, generate at least one update related to the tracking target item, based on the degree of semantic similarity, and send the at least one update to the external electronic device.