Combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film characteristics.
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Updated
Apr 1, 2024 - Python
Combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film characteristics.
Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
deep learning project
Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
Recommedation of movies to a user based on user rating data.
TensorFlow2 Implementation of "Neural Attentive Item Similarity Model for Recommendation"
Association Rule Learning, Content Based Recommendation, Item Based Collaborative, Filtering User Based Collaborative Filtering, Model Based Matrix Factorization projects i've done about
Books recommendation system by collaborative filtering and certain visualization are done on data.
Created Recommender systems using TMDB movie dataset by leveraging the concepts of Content Based Systems and Collaborative Filtering.
Personalised and popularity-based movie recommendations.
USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen
Training of machine learning algorithms in order to produce the best model for average rating predictions of a book.
基于ItemCF与Springboot的图书商城系统
Used User-based and Item-based Collaborative Filtering techniques to build a personalized Book Recommendation System
This project aims to build a Book recommendation system using methods such as Model, Collaborative, and Content-based filtering.
This repo contains many real-world case-studies of machine learning
Recommendation algorithms
In this repository, I implement a recommender system using matrix factorization. Here, two types of RS are implemented. First, use the factorized matrix for user and item. and second, rebuild the Adjacency matrix. both approaches are acceptable and implemented in this repo. To factorized the matrix, funk-svd Algorithm is used. you can find his i…
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