90 Open source projects that are alternatives of or similar to Deepconn

kNN-based next-basket recommendation

Pytorch implementation of BERT4Rec and Netflix VAE.

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

knowledge graph recommendation

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.

深度学习在推荐系统中的应用及论文小结。

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

This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.

ECNU ICA seminar materials

RecDB is a recommendation engine built entirely inside PostgreSQL

Deep Recommenders

🛍️RetailBox - eCommerce Recommender System using Machine Learning

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

推荐算法个人学习笔记以及代码实战

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

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

Reinforced Recommendation toolkit built around pytorch 1.7

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

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

项亮的《推荐系统实践》的代码实现

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

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

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

A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF

Hybrid Recommender System

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

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

Prototype recommendation engine built to accompany an article on Toptal Blog

Yelper recommendation system

A unified, comprehensive and efficient recommendation library

Prototype recommendation engine built to accompany an article on Toptal Blog

Best Practices on Recommendation Systems

A package for interleaving / multileaving ranking generation in go

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

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

A TensorFlow recommendation algorithm and framework in Python.

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

An Attention-Based User Behavior Modeling Framework for Recommendation

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

TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

Some common recommendation system baseline, with description and link.

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

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

Personalized real-time movie recommendation system

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

A Comparative Framework for Multimodal Recommender Systems

recommender system tutorial with Python

基于tensorflow的个性化电影推荐系统实战(有前端)

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.

recommendation system with python

a data science blog

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

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

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

🍃 Recommender System in JavaScript for the MovieLens Database

A Toolkit for Neural Review-based Recommendation models with Pytorch.

《推荐系统实践》代码与读书笔记，在线阅读地址：https://relph1119.github.io/recommendation-system-practice-notes

A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervisor