RAHEEM12344/content-recommendation-engine

A modern, responsive web application that delivers personalized content recommendations based on user preferences and behavior. This interactive recommendation system allows users to discover content tailored to their interests through category selection, tag filtering, and customizable content parameters.

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Subrat1920/Course-Recommendation

An end-to-end Course Recommendation System that uses deep learning for personalized suggestions. It combines popularity filtering, frequently bought-together logic, and top educator rankings. The system is built with Python and TensorFlow and deployed using Flask for real-time interaction.

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Subrat1920/Book-Recommendation-System

The Book Recommendation System is designed to provide personalized book suggestions to users based on their preferences and past interactions. Using popular-based filtering and collaborative filtering, the system helps users discover books they may enjoy. The project follows a modular coding approach, making it scalable and maintainable.

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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.

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STAR-Laboratory/Accelerating-RecSys-Training

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

Language: Python - Size: 274 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 30 - Forks: 4

LaxmiChaudhary/Amzon-Product-Recommendation

Building Recommendation Model for the electronics products of Amazon

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tgchacko/Movie-Recommender

Movie Recommender

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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.

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shivam15112003/Amazon_Product_Recommendation

Building Recommendation Model for the electronics products of Amazon

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LuluW8071/Collaborative-Filtering

Book Recommendation | Collaborative Filtering

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

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

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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

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parthrangarajan/SongRecommenderSystem

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

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Akash1070/Recommendation-Systems

Recommendation System & it's types

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SaijyotiTripathy/Book-Recommendation-System

Book Recommendation System - Popularity Based and Collaborative Filtering Based

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tharangachaminda/content_based_recommender_system

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

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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.

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RochaErik/X-Recommendation-Systems

Popularity based, Content based recommender & Colaborative Filtering systems

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GAUTAMSINGH102/Movie-Recommendation-Flask

Movie Recommendation Anytime Anywhere

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SajalSinha/ProductRecommendationEngine

Deployed Product Recommendation Model using collaborative filtering.

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mehreentahir16/Recommendation-systems-using-python

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

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divya-rai-42/BookRecoomendationSystem

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

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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.

Language: Python - Size: 675 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 8

TiagoCoelhoFCUP/Data-Mining-II

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

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Shivang-Shrivastav/Recommendation-Systems

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

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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.

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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.

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lychengrex/Movie-Recommender-Systems

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