Browser Extension for Live Tab Data Sharing

The patent introduces a browser extension as an intermediary component that runs within the user's browser to capture live browser data from open tabs. This intermediary bridges the gap between the user's browser environment and the remote server, enabling data collection without requiring complex changes to the server architecture itself. The extension acts as a local agent that gathers information and transmits it to the server, thus resolving the contradiction by adding a moderate complexity element (the extension) to achieve the goal of capturing live data without fundamentally redesigning the entire system.

The system performs preliminary actions by capturing and transmitting live browser data from open tabs before the user completes a transaction or closes the browser. This advance data collection ensures that user interest information is preserved and available for processing, preventing the loss of valuable live data. The browser extension continuously monitors open tabs and prepares data for transmission, so when a transaction occurs or the session ends, the data is already captured and can be immediately processed by the server.

The browser extension serves as an intermediary that handles the complexity of live data monitoring locally within the user's browser environment. By offloading the data collection functionality to this intermediary component, the main server system avoids the burden of implementing complex monitoring logic, thus improving user interest detection accuracy without proportionally increasing overall system complexity. The extension manages the intricate tasks of tab monitoring, data extraction, and transmission, while the server focuses on data processing and analysis.

The browser extension operates as a self-service component that autonomously monitors open tabs, captures relevant data, and transmits it to the server without requiring continuous server intervention or complex centralized control mechanisms. This self-service approach enables precise user interest detection through continuous live monitoring while keeping the system architecture relatively simple, as the extension handles its own operation and data management independently.

The system implements periodic action by monitoring and processing live browser data at scheduled intervals rather than continuously in real-time. The browser extension and server check for product updates, price changes, and inventory fluctuations at predetermined time intervals, which maintains productivity by regularly updating user alerts while significantly reducing energy consumption compared to continuous monitoring. This periodic approach balances the need for responsive data processing with resource conservation, as the system remains active at regular intervals to detect changes without the constant energy expenditure of uninterrupted real-time processing.

The system applies skipping by rapidly processing and transmitting critical data changes when detected, rather than maintaining constant processing throughput. When product updates or price changes are identified during periodic checks, the system rushes through the data transmission and alert generation processes quickly, achieving high productivity for time-sensitive operations while minimizing overall energy consumption by remaining in a lower-power state between these rapid processing events. This approach allows the system to maintain responsiveness for important updates without the sustained energy cost of continuous high-speed processing.