112 Open source projects that are alternatives of or similar to Deep-Learning-Model-for-Hybrid-Recommendation-Engine

Examples of all Machine Learning Algorithm in Apache Spark

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

Best Practices on Recommendation Systems

Machine learning for beginner(Data Science enthusiast)

recommender system tutorial with Python

RecDB is a recommendation engine built entirely inside PostgreSQL

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

A Comparative Framework for Multimodal Recommender Systems

A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

📊 A Recombee integration for Laravel

Basic Movie Recommendation Web Application using user-item collaborative filtering.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

A github repository suggestion system

Deep learning based image similarity search for product recommendations

Using efficientnet to provide embeddings for retrieval

Yum-me is a nutrient based food recommendation system

kNN-based next-basket recommendation

Some common recommendation system baseline, with description and link.

Collection of diverse recommendation papers

A curated list of awesome graph & self-supervised-learning-based recommendation.

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

Papers on recommendation system / search ranking.

Recommendation system for Stack Overflow unanswered questions

knowledge graph recommendation

Code and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework

The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.

🗞news scraping and recommendation system

(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Oh-My-Papers: a Hybrid Context-aware Paper Recommendation System

Prototype recommendation engine built to accompany an article on Toptal Blog

Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access, online demo: https://mudrod.jpl.nasa.gov/#/

Pytorch implementation of BERT4Rec and Netflix VAE.

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

Compatibility Family Learning for Item Recommendation and Generation

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

This repository contains some datasets that I have collected in Recommender Systems.

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM W…

A package for interleaving / multileaving ranking generation in go

ECNU ICA seminar materials

Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

A collection tools/scripts to explore the ListenBrainz data using Apache Spark.

Book recommender system using collaborative filtering based on Spark

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Yelper recommendation system

Applying Data Science and Machine Learning to Solve Real World Business Problems

推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品/Demo

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

An index of recommendation algorithms that are based on Graph Neural Networks.

A django app that builds item-based suggestions for users.

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

a data science blog

Graph Neural Network

Hybrid Recommender System