item-based-recommendation

There are 1 repository 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.
user-based-recommendation item-based-recommendation hybrid-recommender-system recommendation-system
Language:Python 12
pratiknabriya / Recommender-System-Collaborative-Filtering-MovieLens
Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
recommendation-system collaborative-filtering python user-based-recommendation item-based-recommendation movielens-movie-recommendation recommendation-engines
Language:Jupyter Notebook 12
shaghayeghjalali96 / movie-recommender-system
deep learning project
recommender-system colab-notebook content-based-recommendation python keras user-based-recommendation item-based-recommendation collaborative-filtering deep-learning machine-learning movielens-dataset
Language:Jupyter Notebook 10
artisan1218 / Recommendation-System
Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
jaccard-similarity cosine-similarity tfidf collaborative-filtering content-based-recommendation user-based-recommendation item-based-recommendation spark pearson-correlation tf-idf-score similar-items svd-matrix-factorisation xgboost xgboost-regression surprise-python feature-augmentation upsampling
Language:Python 7
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
arl content-based-recommendation item-based-recommendation matrix-factorization python recommendation-system user-based-recommendation
Language:Python 5
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.
collaborative-filtering content-based-recommendation item-based-recommendation recommendation-system recommender-system recsys sbert-implementation surprise-library svdpp user-based-recommendation user-item-utility-matrix
Language:Jupyter Notebook 4
hegongshan / neural_attentive_item_similarity
TensorFlow2 Implementation of "Neural Attentive Item Similarity Model for Recommendation"
recommender-systems collaborative-filtering attention-mechanism item-based-recommendation top-n-recommendations
Language:Python 4
IshtyM / Books-Recommender-System-
Books recommendation system by collaborative filtering and certain visualization are done on data.
recommender-system books data-science python svd-matrix-factorisation coorelation pearson-correlation pre-processing collaborative-filtering user-based-recommendation item-based-recommendation
Language:Jupyter Notebook 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.
item-based-recommendation jupiter-notebook machine-learning model-training regression-models
Language:Jupyter Notebook 4
richengo / Board-Games-Recommender
Recommender system for board games built on data collected from major board game forum, BoardGameGeek.
content-based-recommendation user-based-recommendation item-based-recommendation deep-neural-networks dimensionality-reduction embedded-systems topic-modeling latent-dirichlet-allocation matrix-factorization exploratory-data-analysis deployment
Language:Jupyter Notebook 4
shubhamchouksey / Movie-Recommendation
Recommedation of movies to a user based on user rating data.
python cosine-similarity pearson-correlation pandas item-based-recommendation knn-algorithm pivot-table
Language:Jupyter Notebook 4
1391819 / kdrama-dash
A dashboard to discover and search for Korean TV series. Built using React, Flask, SCSS, Sklearn and Docker.
api docker flask heroku item-based-recommendation react scss sklearn
Language:JavaScript 3
riakotti / Netflix-Recommendation-System
Personalised and popularity-based movie recommendations.
recommendation-system user-based-recommendation item-based-recommendation popularity-recommender cold-start jupyter-notebook
Language:Jupyter Notebook 3
Andrew-Cheung-bot / ItemCFrecommend
基于ItemCF与Springboot的图书商城系统
item-based-recommendation item-collaborative-filtering recommendation-system recommender-system spring-boot
Language:Java 2
AshwiniDPrabhu / Music-Recommender-System
million-song-dataset music musicrecommendationsystem knn als spark python jupyter-notebook collaborative-filtering user-based-recommendation item-based-recommendation data-science
Language:HTML 2
cch230 / Recommendation-Algorithm
Recommendation algorithms
algorithm annoy collaborative-filtering google-translate item-based-recommendation knn konlpy recommendation-system recommender-system user-based-recommendation word2vec mean-based-recommendation bert-model huggingface-transformers python pytorch tensorflow
Language:Python 2
hasanur-rahman / Artificial-Intelligence-Projects
This repo contains many real-world case-studies of machine learning
machine-learning deep-learning artificial-neural-networks convolutional-neural-networks spam-classification augmentation kaggle case-study real-world-project collaborative-filtering item-based-recommendation recommender-system movie-recommendation-system image-augmentation
Language:Jupyter Notebook 2
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.
recommender-system book-recommendations item-based-recommendation content-based-recommendation collaborative-filtering similarity-metric cosine-similarity
Language:Jupyter Notebook 2
PrajaktaGhumatkar99 / Book-Recommendation-System
Used User-based and Item-based Collaborative Filtering techniques to build a personalized Book Recommendation System
book-recommendation-system collaborative-filtering item-based-recommendation user-based-recommendation
Language:Jupyter Notebook 2
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
matrix-factorization factorized-matrix svd recommender-system funk-svd item-based-recommendation user-based-recommendation
Language:Python 2
ArazShilabin / movie-recommender-system
collaborative-filtering content-based-recommendation item-based-recommendation knn movie movie-lens-dataset rating recommender-system user-based-recommendation
Language:Python 1
Ashutosh27ind / Ecommerce-Recommendation-System-
Recommendation System for an Online Beer Company
correlation cosine-similarity item-based-recommendation recommender-system user-based-recommendation
Language:Jupyter Notebook 1
Mehrab-Kalantari / Book-Recommender-System
Building a collaborative filtering recommender systems on books dataset
collaborative-filtering item-based-recommendation machine-learning recomender-system user-based-recommendation
Language:Jupyter Notebook 1
pngo1997 / New-York-City-Airbnb-Recommender-System
Collaborative project of Content-based recommender system development of NYC Airbnb.
clustering item-based-recommendation python ranking-algorithm recommender-system text-classification clustering-algorithm roberta-model sentiment-analysis vader-sentiment-analysis
Language:Jupyter Notebook 1
tohid-yousefi / Item_Based_Recommender_Collaborative_Filtering
in this section will be item based recommender on movies and ratings dataset
item-based-recommendation python-recommendation recommendation-algorithms recommendation-system recommendations recommender-system
Language:Jupyter Notebook 1
tohid-yousefi / Item_Based_Recommender_Movie_Dataset
In this section, I will create a item-based recommender on the movie dataset
data-science item-based-recommendation recommendation-system recommender-system
Language:Jupyter Notebook 1
witekha3 / MoviesAdvisor
An application that uses the algorithm of user-based collaborative filtering and item-based collaborative filtering to recommend new movies
movie recommender-system user-based-recommendation item-based-recommendation pearson-correlation
Language:Python 1
akvalv / Smart_Retailer-InformationProduct
A customer segmentation and product recommendation system using RFM Analysis, Market Basket Analysis & Item Based Collaborative Filter
item-based-recommendation market-basket-analysis python rfm-analysis tableau
Language:Jupyter Notebook 0
Andrew-Cheung-bot / ItemCFrecommend_vue
基于ItemCF与Springboot的图书商城系统-前端页面
item-based-recommendation item-collaborative-filtering vue2 vuejs element-ui
Language:Vue 0
ankdeshm / recommendation-systems
A collection of diverse recommendation system projects, spanning collaborative filtering, content-based methods, and hybrid approaches.
collaborative-filtering cosine-distance cosine-similarity fashion-recommendation image-similarity-learning item-based-recommendation movie-recommendation neural-collaborative-filtering pinterest spotify-annoy image-classification opencv resnet-50 transfer-learning vgg19
Language:Jupyter Notebook 0
DanielDaCosta / recommendation-system
The project's goal is to create diverse recommendation systems that predict user-item ratings
item-based-recommendation model-based-recommendation recommendation-system
Language:Python 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.
cosine-similarity item-based-recommendation jaccard-similarity k-nearest-neighbours movielens-dataset page-rank recommender-system user-based-recommendation
Language:Jupyter Notebook 0
FoggySmile / RecSys
RecSys
collaborative-filtering cornac item-based-recommendation matrix-factorization recsys surprise svd user-based-recommendation
Language:Jupyter Notebook 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.
collaborative-filtering hybrid-recommendation item-based-recommendation model-based-recommendation
Language:Python 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.
collaborative-filtering hybrid-recommendation item-based-recommendation lsh-algorithm model-based-recommendation spark
Language:Python 0
Solfty2 / Item_Based_Recommender_System
in this section will be item based recommender on movielans dataset
item-based-recommendation python python-recommendation python3 recommendation-system recommender-system
Language:Jupyter Notebook 0

item-based-recommendation

mesudepolat / Hybrid-Recommender-System

pratiknabriya / Recommender-System-Collaborative-Filtering-MovieLens

shaghayeghjalali96 / movie-recommender-system

artisan1218 / Recommendation-System

atakankizilyuce / Recommendation-Systems

Balajirvp / Recommender-Systems---Content-Based-Systems-and-Collaborative-Filtering

hegongshan / neural_attentive_item_similarity

IshtyM / Books-Recommender-System-

Nikola-Popov / books-rating-prediction

richengo / Board-Games-Recommender

shubhamchouksey / Movie-Recommendation

1391819 / kdrama-dash

riakotti / Netflix-Recommendation-System

Andrew-Cheung-bot / ItemCFrecommend

AshwiniDPrabhu / Music-Recommender-System

cch230 / Recommendation-Algorithm

hasanur-rahman / Artificial-Intelligence-Projects

Pradnya1208 / Book-Recommendation-System--Traditional-approach

PrajaktaGhumatkar99 / Book-Recommendation-System

ZahraDehghanian97 / Matrix-Factorization-recommender-System

ArazShilabin / movie-recommender-system

Ashutosh27ind / Ecommerce-Recommendation-System-

Mehrab-Kalantari / Book-Recommender-System

pngo1997 / New-York-City-Airbnb-Recommender-System

tohid-yousefi / Item_Based_Recommender_Collaborative_Filtering

tohid-yousefi / Item_Based_Recommender_Movie_Dataset

witekha3 / MoviesAdvisor

akvalv / Smart_Retailer-InformationProduct

Andrew-Cheung-bot / ItemCFrecommend_vue

ankdeshm / recommendation-systems

DanielDaCosta / recommendation-system

dominic-sagers / MovieLens-20M-Recommender-System

FoggySmile / RecSys

leiyunin / Hybrid-Recommendation-System

leiyunin / Locality-Sensitive-Hashing-and-Collaborative-Filtering-on-Yelp-Data

Solfty2 / Item_Based_Recommender_System