Chrome extension filters feeds using LLMs to align recommendations with user preferences
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RecAlign is a Chrome extension designed to combat attention-hijacking recommendation algorithms by filtering content based on user-defined preferences using Large Language Models (LLMs). It targets users seeking greater control over their online content consumption and aims to provide a transparent, editable mechanism for aligning feeds with personal well-being.
How It Works
RecAlign leverages LLMs to analyze and filter recommendations within platforms like Twitter. Users explicitly state their preferences, which the LLM then uses to evaluate and remove content deemed misaligned. This approach offers transparency and user control over the filtering process, directly addressing the misaligned objectives of traditional recommendation systems.
Quick Start & Requirements
chrome-extension
folder as an unpacked extension in Chrome.npm install
, then npm run build
.Highlighted Details
Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
The extension requires an OpenAI API key, incurring potential costs. The README does not specify the license or provide details on community support or project maintenance beyond the initial development setup.
1 year ago
Inactive