popularity-recommender

STAR-Laboratory/Accelerating-RecSys-Training

Accelerating Recommender model training by leveraging popular choices -- VLDB 2022

Divyanshu169/IT556_Worthless_without_coffee_DA-IICT_Final_Project

This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix.

mehreentahir16/Recommendation-systems-using-python

This repository will explain the basic implementation of different types of Recommendation systems using python.

EsratMaria/Improved-Movie-Recommendation-System-with-KNN-and-Cosine-Similarity

Movie recommendation system based on popularity and also using KNN and Cosine similarity. 🎥🍿

shshwtsrkr/Book-Recommender-System

This project essentially recommends books. The 'Top 50' page uses popularity based recommender, while the 'Recommendation' page uses collaborative based recommender to recommend 5 most similar books based on user input.

riakotti/Netflix-Recommendation-System

Personalised and popularity-based movie recommendations.

SajalSinha/ProductRecommendationEngine

Deployed Product Recommendation Model using collaborative filtering.

parulsharma098/Book-Recommendation-System

This project is about Building a reliable Book Recommendation system through datasets provided,

Pranav388/Image-To-Food

Deep Learning is a technology used in machine learning and is applied to a number of signal and image applications. The main purpose of the work presented is to apply the concept of a Deep Learning algorithm namely, Convolutional Neural Networks (CNN) in image classification. A recommendation engine filters the data using different algorithms and recommends the most relevant items to users.

Akash1070/Recommendation-Systems

Recommendation System & it's types

arifuddinatif/Product-Recommendation-Engine

Building a recommender engine that reviews customer ratings and purchase history to recommend items and improve sales.

disha2sinha/Movie-Recommendation-System

A recommendation model which finds popular movies according to votes and ratings given to each movie, recommends movies to the user according to the user's previous interactions using K-means Clustering and cosine similarity and also suggests movies to the user based on the likes of similar other users in the dataset using Pearson similarity index.

GAUTAMSINGH102/Movie-Recommendation-Flask

Movie Recommendation Anytime Anywhere

HariShanmugavelu/RecommendationSystems_Ecommerce

Recommendation systems for e-commerce sites

LuluW8071/Collaborative-Filtering

Book Recommendation | Collaborative Filtering

parthrangarajan/SongRecommenderSystem

Another interesting use-case of TuriCreate in Machine Learning i.e. Song Recommender System.

SaijyotiTripathy/Book-Recommendation-System

Book Recommendation System - Popularity Based and Collaborative Filtering Based

Shivang-Shrivastav/Recommendation-Systems

Popularity based Recommendation System, Content Based Recommendation System, Cosine Similarity

ajithvernekar/recommender-system-e-commerce

This repository contains a recommendation model for content-based, collaborative filtering and hybrid model approaches. It also exhibits popularity model for new-users to address cold-start problem. It evaluates the model using metrics like coverage, diversity and novelty

anirudhs123/Neural-Recommender-system

This work involved building a pipeline of recommender systems comprising of Popularity based recommender, KNN similarity based Clustering recommender, Item-Item association based recommender, Bi-Partite graph based association recommender, Neural Graph based Collaborative Filtering and Neural Embedding based Collaborative filtering.

ArmandoGaGo/Music-Recommendation-System

Build a recommendation system to propose the top 10 songs for a user based on the likelihood of listening to those songs.

Max-Sanii/Recommendation-System-Books

My Capstone project in the applied Artificial Intelligence program at the University of San Diego in 2022. The objective is to build and investigate the two recommender systems, popularity-based and content-based, with the goal of generating good recommendations for the book dataset.

Niranjan-stat/Recommendation-Systems-Electronic-Dataset-from-Amazon

Popularity based systems for popular items which are in trend right now, Collaberative Filtering (Item-Item) is used for the above customer based on the purchase history of other customers in the website.

Riteshchawla10/Recommendation-Systems

tharangachaminda/content_based_recommender_system

This Python project shows how to build a content based recommendation system. Data is related to movies.

TiagoCoelhoFCUP/Data-Mining-II

Projects developed under the Data Mining II college chair during the 2019/2020 school year

tysonjohn015/P09_AI_recommendation_system

A Mobile App for books and articles recommendation system

Ankit01Mishra/Recommendation-Engine-for-Sales-Products

In this project I tried to make recommendations for users based on their purchasing history with a shop.

divya-rai-42/BookRecoomendationSystem

A book recommender web app which uses popularity based technique and collaborative filtering based technique for making the recommendations.

lychengrex/Movie-Recommender-Systems

Pranavd0828/PopularityBased_RecommendationSystem

As the name suggests Popularity based recommendation system works with the trend. It basically uses the items which are in trend right now.

RochaErik/X-Recommendation-Systems

Popularity based, Content based recommender & Colaborative Filtering systems

sabrinaahmad101/hybrid_recommender

A book recommendation system which efficiently handles data for better recommendations to user. Along with considering user's personal preferences as well as other instances. An hybrid system that integrated with most efficiant algorithms collaborative and content based.

shivam15112003/Amazon_Product_Recommendation

Building Recommendation Model for the electronics products of Amazon