rajaharsha / Amazon-Product-Recommendation-CF-ALS-Spark
We have chosen Amazon product sales data set comprising of sales activity and user ratings for each product. The idea is to create a product suggestion/recommendation system for each user based on his previous purchases and his rating for each one. A Collaborative Filtering model is built to predict the virtual ratings for the product that the u…
☆11Updated 7 years ago
Alternatives and similar repositories for Amazon-Product-Recommendation-CF-ALS-Spark:
Users that are interested in Amazon-Product-Recommendation-CF-ALS-Spark are comparing it to the libraries listed below
- A simple movie recommendation engine☆73Updated 3 years ago
- Music Recommendation using Python + Spark☆23Updated 4 years ago
- Movie Recommendation System using Apache Spark and Python implementing User based Collaborative Filtering and Item Based Collaborative Fi…☆12Updated 9 years ago
- Film recommendations with Apache Spark and Python☆61Updated 9 years ago
- ☆17Updated 8 years ago
- building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe t…☆63Updated 8 years ago
- Flask-based application using MySQL, MongoDB and Neo4j for storing video data and provides interface to search video and show related vid…☆10Updated 7 years ago
- SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset☆51Updated 6 years ago
- This example uses the lightfm recommender system library to train a hybrid content-based + collaborative algorithm that uses the WARP los…☆9Updated 8 years ago
- Implementation of Collabrative Filtering way of recommendation engine☆83Updated 2 years ago
- ☆15Updated 8 years ago
- Content based Recommender System which implements sentiment analysis(Naive Bayes,SVMs) on Amazon product reviews. Built in Python(Beautif…☆10Updated 10 years ago
- User-based and Item-based Collaborative Filtering algorithms written in Python☆71Updated 7 years ago
- recommendation system with python☆311Updated 6 years ago
- Recommender Systems in Depth: An introduction to Recommender Systems using Python and Crab☆44Updated 11 years ago
- A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF☆45Updated 4 years ago
- A recommendation system using tensorflow☆73Updated 6 years ago
- Implemented Item, User and Hybrid based Collaborative Filtering☆158Updated 9 years ago
- Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial☆22Updated 7 years ago
- A pure Python implement of Collaborative Filtering based on MovieLens' dataset.☆188Updated 5 years ago
- Recommendation Models in TensorFlow☆46Updated 6 years ago
- Survey of collaborative filtering techniques and their effectiveness as a movie recommendation system☆15Updated 7 years ago
- uses collaborative and content based filtering techniques☆14Updated 8 years ago
- Build a News Recommendation Engine Using Apache Mahout and the Google News Personalization Paper☆23Updated 12 years ago
- ACM RecSys Challenge 2016: Job recommender system for XING☆8Updated 8 years ago
- scalable Recommeder System for e-commerece using LightFM package in python☆47Updated 5 years ago
- This project aims to predict how helpful a review on amazon is by using the previously available data. Most of the reviews shown on Amazo…☆7Updated 8 years ago
- amazon-scraper is a command line application to collect reviews and questions/answers from amazon products.☆32Updated 5 years ago
- Item and User-based KNN recommendation algorithms using PySpark☆126Updated 7 years ago
- Collaborative Deep Learning for Recommender Systems.☆72Updated 8 years ago