Next.js Recommendation System

Overview

This is a Next.js project integrated with Clerk for user authentication. The application allows users to search for articles and get personalized recommendations based on their interests. The backend utilizes SciBERT and FastText models for generating recommendations.

Features

• User authentication with Clerk
• Search articles by keywords
• Get personalized recommendations
• Toggle to show top 5 recommendations
• Load datasets for recommendation

Technologies Used

• Next.js
• Clerk
• React
• SciBERT
• FastText
• React Hot Toast

Getting Started

First, install the dependencies:

npm install

Second, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

Screenshots