item-based-recommendation

Here are 56 public repositories matching this topic...

mesudepolat / Hybrid-Recommender-System

Combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film characteristics.

recommendation-system hybrid-recommender-system user-based-recommendation item-based-recommendation

Updated Apr 1, 2024
Python

shaghayeghjalali96 / movie-recommender-system

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deep learning project

python machine-learning deep-learning keras collaborative-filtering recommender-system movielens-dataset content-based-recommendation colab-notebook user-based-recommendation item-based-recommendation

Updated Jul 24, 2019
Jupyter Notebook

artisan1218 / Recommendation-System

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Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity

spark collaborative-filtering xgboost cosine-similarity upsampling jaccard-similarity tfidf content-based-recommendation surprise-python pearson-correlation xgboost-regression tf-idf-score svd-matrix-factorisation user-based-recommendation item-based-recommendation similar-items feature-augmentation

Updated Jun 3, 2021
Python

hegongshan / neural_attentive_item_similarity

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TensorFlow2 Implementation of "Neural Attentive Item Similarity Model for Recommendation"

collaborative-filtering recommender-systems attention-mechanism top-n-recommendations item-based-recommendation

Updated Nov 6, 2020
Python

shubhamchouksey / Movie-Recommendation

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Recommedation of movies to a user based on user rating data.

python pandas cosine-similarity pearson-correlation knn-algorithm pivot-table item-based-recommendation

Updated Apr 5, 2020
Jupyter Notebook

pratiknabriya / Recommender-System-Collaborative-Filtering-MovieLens

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Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.

python collaborative-filtering recommendation-system user-based-recommendation item-based-recommendation recommendation-engines movielens-movie-recommendation

Updated Dec 21, 2020
Jupyter Notebook

atakankizilyuce / Recommendation-Systems

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Association Rule Learning, Content Based Recommendation, Item Based Collaborative, Filtering User Based Collaborative Filtering, Model Based Matrix Factorization projects i've done about

python matrix-factorization recommendation-system arl content-based-recommendation user-based-recommendation item-based-recommendation

Updated Jan 25, 2023
Python

IshtyM / Books-Recommender-System-

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Books recommendation system by collaborative filtering and certain visualization are done on data.

python data-science books collaborative-filtering recommender-system pearson-correlation pre-processing svd-matrix-factorisation user-based-recommendation item-based-recommendation coorelation

Updated Sep 18, 2021
Jupyter Notebook

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

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Created Recommender systems using TMDB movie dataset by leveraging the concepts of Content Based Systems and Collaborative Filtering.

collaborative-filtering recommendation-system recsys recommender-system content-based-recommendation user-item-utility-matrix user-based-recommendation svdpp item-based-recommendation surprise-library sbert-implementation

Updated Nov 28, 2022
Jupyter Notebook

1391819 / kdrama-dash

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A dashboard to discover and search for Korean TV series. Built using React, Flask, SCSS, Sklearn and Docker.

react heroku api docker flask sklearn scss eda item-based-recommendation

Updated Jun 12, 2023
JavaScript

riakotti / Netflix-Recommendation-System

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Personalised and popularity-based movie recommendations.

jupyter-notebook recommendation-system cold-start popularity-recommender user-based-recommendation item-based-recommendation

Updated Jun 14, 2020
Jupyter Notebook

Nikola-Popov / books-rating-prediction

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Training of machine learning algorithms in order to produce the best model for average rating predictions of a book.

machine-learning regression-models model-training jupiter-notebook item-based-recommendation

Updated Nov 3, 2019
Jupyter Notebook

Andrew-Cheung-bot / ItemCFrecommend

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基于ItemCF与Springboot的图书商城系统

spring-boot recommendation-system recommender-system item-collaborative-filtering item-based-recommendation

Updated Apr 1, 2024
Java

AshwiniDPrabhu / Music-Recommender-System

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python music data-science spark jupyter-notebook collaborative-filtering als knn million-song-dataset user-based-recommendation item-based-recommendation musicrecommendationsystem

Updated Jan 20, 2020
HTML

hasanur-rahman / Artificial-Intelligence-Projects

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This repo contains many real-world case-studies of machine learning

machine-learning deep-learning kaggle collaborative-filtering artificial-neural-networks recommender-system convolutional-neural-networks case-study spam-classification image-augmentation augmentation movie-recommendation-system real-world-project item-based-recommendation

Updated May 9, 2020
Jupyter Notebook

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

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This project aims to build a Book recommendation system using methods such as Model, Collaborative, and Content-based filtering.

collaborative-filtering recommender-system cosine-similarity similarity-metric content-based-recommendation item-based-recommendation book-recommendations

Updated Jan 4, 2022
Jupyter Notebook

ZahraDehghanian97 / Matrix-Factorization-recommender-System

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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…

matrix-factorization recommender-system svd funk-svd user-based-recommendation item-based-recommendation factorized-matrix