recommendation system

Hybrid Recommendation System Using User-based and Item-based Collaborative Filtering 4 hybrid methods to combine user-user and item-item collaborative filtering

Hybrid Recommendation System Using User-based and Item-based Collaborative Filtering

Recommendation systems have become integral to industries ranging from online retail to digital media. Two popular recommendation techniques are user-based and item-based collaborative filtering. But why limit ourselves to one when we can reap the benefits of both? This article explores how to build a robust hybrid recommendation system leveraging both of these strategies. Resources …

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The Ultimate Guide to Evaluating Your Recommendation System Understand the key metrics to measure the performance of your recommender engine

The Ultimate Guide to Evaluating Your Recommendation System

Recommendation systems have become an integral part of our daily lives, shaping our experiences on e-commerce platforms, content streaming services, and social media networks. They help users navigate vast catalogs, find relevant items, and discover new products or content that they might enjoy. But how do we know if a recommendation system is doing a …

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Recommendation System: Item-Based Collaborative Filtering

Recommendation System: Item-Based Collaborative Filtering

Item-based collaborative filtering is also called item-item collaborative filtering. It is a type of recommendation system algorithm that uses item similarity to make product recommendations. In this tutorial, we will talk about Resources for this post: If you prefer the video version of the tutorial, please check out this video on YouTube Step 0: Item-Based Collaborative …

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