Browser Session Management Using AI Tab Semantics

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Solution Overview

Problem

Conventional tab management systems in web browsers rely on keyword searching, which limits the type of user queries and increases user interaction due to resource-intensive operations, failing to semantically understand displayed content.

Innovation Solution

A system utilizing a language model that supports natural language queries to manage browser tabs by conditioning the model with session state information, enabling efficient and resource-aware management of session items.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If keyword searching is used for tab management, then the system can locate tabs using simple search terms, but the system cannot semantically understand displayed content and requires increased user interaction

Engineering Contradiction:

Improveuser interactionVSAvoidsemantic understanding

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent replaces the mechanical keyword-matching system with an AI-based semantic understanding system. The AI model analyzes the actual content displayed in tabs to comprehend their meaning, enabling natural language queries like 'find the tab with the recipe' instead of requiring users to remember specific keywords or manually search through tabs.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If conventional tab management systems perform resource-intensive operations to locate tabs, then they can provide basic search functionality, but they increase user interaction and reduce efficiency

Engineering Contradiction:

Improvetab management efficiencyVSAvoiduser interaction

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The system performs preliminary actions by continuously monitoring and indexing tab content in the background before users need to search. The AI model pre-processes and understands the semantic content of all open tabs, so when a user asks to find a specific tab, the system can immediately retrieve it without requiring the user to initiate resource-intensive search operations or interact with complex search interfaces.

Inventive Principle:

Principle #10Preliminary action

3Measurement precision

If the system uses AI models to understand tab content, then it can provide accurate semantic search, but it increases resource consumption

Engineering Contradiction:

Improvequery accuracyVSAvoidresource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system applies partial action by using the AI model selectively rather than continuously. The AI model is activated only when users submit natural language queries about tabs. Between queries, the system uses lighter-weight mechanisms to maintain basic tab management functionality. This approach provides accurate semantic search when needed while avoiding constant high resource consumption during routine tab operations.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12591605B2Computer session management using a language model

Publication Date: 2026.03.31 GOOGLE LLC

AI summary

According to an aspect, a method includes receiving, by a language model, session state information, generated by a browser application, about a computer session of a user, receiving, by the language model, a user-generated query including a natural language description about a browser tab, generating, by the language model, a textual response about the browser tab using contextual data, the contextual data including the session state information, and providing the textual response on a user device.