Topic: "item-based-recommendation"
mesudepolat/Hybrid-Recommender-System
This project combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film characteristics.
Language: Python - Size: 570 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 1
shaghayeghjalali96/movie-recommender-system
deep learning project
Language: Jupyter Notebook - Size: 206 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 4
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
Language: Python - Size: 25.4 KB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0
shubhamchouksey/Movie-Recommendation
Recommedation of movies to a user based on user rating data.
Language: Jupyter Notebook - Size: 2.53 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 4
IshtyM/Books-Recommender-System-
Books recommendation system by collaborative filtering and certain visualization are done on data.
Language: Jupyter Notebook - Size: 2.88 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
artisan1218/Recommendation-System
Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
Language: Python - Size: 63 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1
pratiknabriya/Recommender-System-Collaborative-Filtering-MovieLens
Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
Language: Jupyter Notebook - Size: 835 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 4
1391819/kdrama-dash
A dashboard to discover and search for Korean TV series. Built using React, Flask, SCSS, Sklearn and Docker.
Language: JavaScript - Size: 31.6 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0
hegongshan/neural_attentive_item_similarity
TensorFlow2 Implementation of "Neural Attentive Item Similarity Model for Recommendation"
Language: Python - Size: 25.1 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 4
Nikola-Popov/books-rating-prediction
Training of machine learning algorithms in order to produce the best model for average rating predictions of a book.
Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1
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.
Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
hasanur-rahman/Artificial-Intelligence-Projects
This repo contains many real-world case-studies of machine learning
Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1
AshwiniDPrabhu/Music-Recommender-System
Language: HTML - Size: 1.15 MB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2
CYY-CYY-CYY/Hybrid-Recommendation-System
A hybrid recommendation system combining Item-Based Collaborative Filtering and Content-Based Filtering to suggest skincare products based on user preferences, product ingredients, and ratings. Features a Flask API and an interactive Streamlit Web App for personalized recommendations.
Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
KayvanShah1/usc-dsci553-data-mining-sp24
USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen
Language: Python - Size: 29.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
tohid-yousefi/Item_Based_Recommender_Collaborative_Filtering
in this section will be item based recommender on movies and ratings dataset
Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
cch230/Recommendation-Algorithm
Recommendation algorithms
Language: Python - Size: 1.75 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
Mehrab-Kalantari/Book-Recommender-System
Building a collaborative filtering recommender systems on books dataset
Language: Jupyter Notebook - Size: 2.39 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 74.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
ArazShilabin/movie-recommender-system
Language: Python - Size: 222 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
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
Language: Python - Size: 18.2 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
eylulozatman/bookRecSystemSurprise
collaborative filtering project was developed using surprise library. It provides user based and item based search. It calculates similarity score and offers suggestions.
Language: Python - Size: 4.03 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
pngo1997/New-York-City-Airbnb-Recommender-System
Collaborative project of Content-based recommender system development of NYC Airbnb.
Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
pngo1997/Joke-Recommender-System-Image-Segmentation-Clustering
Create an Item based collaborative filtering Recommender System and Image Segmentation Clustering.
Language: Jupyter Notebook - Size: 396 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
FoggySmile/RecSys
RecSys
Language: Jupyter Notebook - Size: 199 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
akvalv/Smart_Retailer-InformationProduct
A customer segmentation and product recommendation system using RFM Analysis, Market Basket Analysis & Item Based Collaborative Filter
Language: Jupyter Notebook - Size: 7.59 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
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.
Language: Python - Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
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.
Language: Python - Size: 6.84 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
NityaVerma19/Book-Recommendation-System
A book recommendation system made using item-based collaborative filtering
Language: Jupyter Notebook - Size: 29.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Solfty2/Item_Based_Recommender_System
in this section will be item based recommender on movielans dataset
Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ankdeshm/recommendation-systems
A collection of diverse recommendation system projects, spanning collaborative filtering, content-based methods, and hybrid approaches.
Language: Jupyter Notebook - Size: 26.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
DanielDaCosta/recommendation-system
The project's goal is to create diverse recommendation systems that predict user-item ratings
Language: Python - Size: 12.7 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Ashutosh27ind/Ecommerce-Recommendation-System-
Recommendation System for an Online Beer Company
Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
senanurbalcioglu/hybrid_recommender_system
Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
DiningDSR/Hotel-Rekomendasi-Yogyakarta
Item-Based collaborative filtering with KNN algorithm about hotel recommendations
Language: Jupyter Notebook - Size: 4.04 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
ZhiyuZhang803/Yelp_Recommender_System_No1_Solution
This repo contains all files needed for building a recommender system based on 2019 Yelp Challenge Datasets. This is the No.1 solution in USC Viterbi Data Mining Competition.
Language: Python - Size: 22.5 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
risitadas/Recommendation-System-on-MovieLens-Dataset
Project Overview: Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings.
Language: Jupyter Notebook - Size: 538 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
tohid-yousefi/Item_Based_Recommender_Movie_Dataset
In this section, I will create a item-based recommender on the movie dataset
Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
oguzerdo/recommender-systems
Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
y656/Movie-Recommender-Systems
Recommender systems
Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1
skaty5678/Book-recommendation-system
Recommend books using various machine learning algorithms.
Language: Jupyter Notebook - Size: 3.06 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
KelvinLam05/item-based_collaborative_filtering
Implemented an item-based collaborative filtering recommender system for a given user using Pearson’s R.
Language: Jupyter Notebook - Size: 122 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
Arsham1024/music_recommender
A web application to recommend music to users based on machine learning algorithms such as item-based & user-based collaborative filtering and kNN.
Language: Python - Size: 8.88 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
Rahulraj31/Movie-Recommendation-System
Item Based movie Recommendation System.
Language: Jupyter Notebook - Size: 2.8 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
ritik872000/Recommendation-Systems
This repo has an implementation of popular recommendation techniques like user-based and item-based collaborative filtering techniques for recommending books and music.
Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
ddamddi/bigdata
Game Recommendation using Collaborative filtering with K-Nearest Neighbor
Language: Jupyter Notebook - Size: 22 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 2
shalakasaraogi/book-recommendation-system
Built a Book Recommendation System by using the Item-based collaborative technique.
Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1
guptasoumya26/Basic-Movie-Recommender-System
Basic movie recommender system using item based collaborative filtering
Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
