Creating a hybrid recommendation system to predict product recommendations based on consumer behavior.
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Updated
Feb 21, 2023 - Jupyter Notebook
Creating a hybrid recommendation system to predict product recommendations based on consumer behavior.
Created Recommender systems using TMDB movie dataset by leveraging the concepts of Content Based Systems and Collaborative Filtering.
Recommender system with Netflix database using matrix factorization
Recommendation systems: simple theory of collaborative filtering
Recommendation Engine for E-Grocery store
A book recommender system that recommends books based on book similarities using NLP
Recommendation Systems
Collaborative Filtering based Recommendation System: This repository contains the implementation of a collaborative filtering-based recommendation system for book recommendations. It utilizes user-item interactions to suggest books that users might be interested in, enhancing personalized user experiences in the domain of book recommendation.
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