Abstract

Managing a large number of active browser tabs often leads to excessive memory consumption, reduced responsiveness, and degraded user experience, especially during multitasking-intensive workflows. This paper presents the design, implementation, and deployment of the Adaptive User-Centric Tab Management System (AUCTMS), a browser extension that performs context-aware tab grouping and hybrid priority scoring based on access recency, usage frequency, semantic relevance, and memory footprint. The system is evaluated under realistic multitasking scenarios with 30–50 concurrent tabs, reflecting typical user browsing behavior in research, development, and content consumption. Experimental results demonstrate significant reductions in memory usage, improved browser responsiveness, and minimal tab restoration latency. These findings confirm that behavior-aware, context-driven tab management can be effectively deployed as a lightweight, client-side extension, providing practical improvements in multitasking efficiency and system stability.

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