Building a Recommendation System in Spring Boot
Building a Recommendation System in Spring Boot Recommendation systems are widely used in platforms like Netflix, Amazon, and Spotify to suggest relevant content to users. In this post, we will learn how to build a simple **content-based recommendation system** using **Spring Boot** and **Hugging Face API**. 💡 What is a Content-Based Recommendation System? Content-based filtering recommends items based on their features and the preferences of users. For example, it might recommend movies similar to a user's watched movie based on genre, director, or actors. **User preferences**: What the user likes (e.g., genres, artists, topics, etc.) **Item features**: Information about items (e.g., movie plots, product descriptions, etc.) 📦 Step 1: Setup Spring Boot Project Let’s start by adding necessary dependencies in our pom.xml : <dependencies> <dependency> <groupId>org.springframework.boot</groupId> ...