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Suggestify-RecommendationSystems is a dedicated repository for implementing and experimenting with traditional recommendation system techniques. It covers collaborative filtering, content-based methods, and hybrid approaches, focusing on practical and scalable solutions for personalised recommendations across various domains.

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Suggestify - Recommendation Systems

Smart Recommendations, Simplified.

This is a dedicated repository for implementing and experimenting with traditional recommendation system techniques. It covers collaborative filtering, content-based methods, and hybrid approaches, focusing on practical and scalable solutions for personalised recommendations across various domains.

1. Collaborative Filtering

Electronics Ratings
Book Recommendations

2. Content-Based Filtering

Movie Recommendations
Article Recommendation

3. Hybrid Recommendation Systems

Movie Recommendations

4. Association Rule-Based Recommendations

4.1 Market Basket Analysis

Online Retail Store - France
Super Store Analysis

5. Popularity & Heuristic-Based Recommendations

Electronics Ratings
Book Recommendations

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Suggestify-RecommendationSystems is a dedicated repository for implementing and experimenting with traditional recommendation system techniques. It covers collaborative filtering, content-based methods, and hybrid approaches, focusing on practical and scalable solutions for personalised recommendations across various domains.

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