item-based-recommendation
There are 57 repositories under item-based-recommendation topic.
mesudepolat/Hybrid-Recommender-System
Combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film characteristics.
shaghayeghjalali96/movie-recommender-system
deep learning project
artisan1218/Recommendation-System
Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
pratiknabriya/Recommender-System-Collaborative-Filtering-MovieLens
Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
atakankizilyuce/Recommendation-Systems
Association Rule Learning, Content Based Recommendation, Item Based Collaborative, Filtering User Based Collaborative Filtering, Model Based Matrix Factorization projects i've done about
hegongshan/neural_attentive_item_similarity
TensorFlow2 Implementation of "Neural Attentive Item Similarity Model for Recommendation"
shubhamchouksey/Movie-Recommendation
Recommedation of movies to a user based on user rating data.
1391819/kdrama-dash
A dashboard to discover and search for Korean TV series. Built using React, Flask, SCSS, Sklearn and Docker.
Balajirvp/Recommender-Systems---Content-Based-Systems-and-Collaborative-Filtering
Created Recommender systems using TMDB movie dataset by leveraging the concepts of Content Based Systems and Collaborative Filtering.
IshtyM/Books-Recommender-System-
Books recommendation system by collaborative filtering and certain visualization are done on data.
Nikola-Popov/books-rating-prediction
Training of machine learning algorithms in order to produce the best model for average rating predictions of a book.
riakotti/Netflix-Recommendation-System
Personalised and popularity-based movie recommendations.
Andrew-Cheung-bot/ItemCFrecommend
基于ItemCF与Springboot的图书商城系统
cch230/Recommendation-Algorithm
Recommendation algorithms
hasanur-rahman/Artificial-Intelligence-Projects
This repo contains many real-world case-studies of machine learning
Pradnya1208/Book-Recommendation-System--Traditional-approach
This project aims to build a Book recommendation system using methods such as Model, Collaborative, and Content-based filtering.
PrajaktaGhumatkar99/Book-Recommendation-System
Used User-based and Item-based Collaborative Filtering techniques to build a personalized Book Recommendation System
ZahraDehghanian97/Matrix-Factorization-recommender-System
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 implementation on this link: https://github.com/gbolmier/funk-svd
Ashutosh27ind/Ecommerce-Recommendation-System-
Recommendation System for an Online Beer Company
KayvanShah1/usc-dsci553-data-mining-sp24
USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen
MehrabKalantary/Book-Recommender-System
Building a collaborative filtering recommender systems on books dataset
pngo1997/Project-Rec-System-NYC-Airbnb-Open-Data
Collaborative project on Content-based Recommendation System Development of NYC Airbnb Open Data.
richengo/Board-Games-Recommender
Recommender system for board games built on data collected from major board game forum, BoardGameGeek.
tohid-yousefi/Item_Based_Recommender_Collaborative_Filtering
in this section will be item based recommender on movies and ratings dataset
tohid-yousefi/Item_Based_Recommender_Movie_Dataset
In this section, I will create a item-based recommender on the movie dataset
witekha3/MoviesAdvisor
An application that uses the algorithm of user-based collaborative filtering and item-based collaborative filtering to recommend new movies
akvalv/Smart_Retailer-InformationProduct
A customer segmentation and product recommendation system using RFM Analysis, Market Basket Analysis & Item Based Collaborative Filter
Andrew-Cheung-bot/ItemCFrecommend_vue
基于ItemCF与Springboot的图书商城系统-前端页面
ankdeshm/recommendation-systems
A collection of diverse recommendation system projects, spanning collaborative filtering, content-based methods, and hybrid approaches.
dominic-sagers/MovieLens-20M-Recommender-System
Using the MovieLens 20 Million review dataset, this project aims to explore different ways to design, evaluate, and explain recommender systems algorithms. Different item-based and user-based recommender systems are showcased as well as a hybrid algorithm using a modified page-rank algorithm.
leiyunin/Hybrid-Recommendation-System
This project developed and optimized a hybrid recommendation system that processes over 450,000 training data points and 142,000 validation data points. The system combines user ratings, merchant details, and user reviews to predict users' ratings for restaurants they have not visited.
leiyunin/Locality-Sensitive-Hashing-and-Collaborative-Filtering-on-Yelp-Data
The assignment comprises two main tasks: implementing LSH to identify similar businesses based on user ratings and developing various collaborative filtering recommendation systems to predict user ratings for businesses.
NityaVerma19/Book-Recommendation-System
A book recommendation system made using item-based collaborative filtering
Solfty2/Item_Based_Recommender_System
in this section will be item based recommender on movielans dataset