RecSys-Core-Algorithms: Recommender System Algorithms

Overview

RecSys-Core-Algorithms is a comprehensive repository that provides implementations of various recommender system algorithms. Whether you're interested in exploring Naive Methods, ALS, NCF, NeuMF, DSSM, or other recommendation techniques, this repository offers a diverse set of algorithms for building personalized user experiences.

Table of Contents

1. Naive Methods
2. ALS (Alternating Least Squares)
3. NCF (Neural Collaborative Filtering)
4. DSSM (Deep Structured Semantic Model)

Directory Structure

• assets: Images and visual assets for documentation.
• datasets: Sample datasets for testing and experimentation.
• papers: Relevant research papers for deeper understanding.
• src: Source code for specific components or modules (e.g., database interactions, DSSM layers).

Usage

Explore the notebooks in the root directory to dive into each recommender system algorithm. The datasets directory contains sample datasets for experimentation. Feel free to adapt and extend the code for your specific use case.