241 Open source projects that are alternatives of or similar to Sdm

An implementation of locality sensitive hashing with Hadoop

Large scale training of factorization models for Collaborative Filtering with PyTorch

Audio Fingerprinting & Retrieval for .NET

If you use globs, this will make your code faster. Returns `true` if the given string looks like a glob pattern or an extglob pattern. This makes it easy to create code that only uses external modules like node-glob when necessary, resulting in much faster code execution and initialization time, and a better user experience. 55+ million downloads.

fastFM: A Library for Factorization Machines

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Messaging middleware topic matching implementations.

Towards A Standardized Tag Recommender Benchmarking Framework

Recursive matching

rnn based model for recommendations

An open source recommender system service written in Go

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.

Pass two numbers, get a regex-compatible source string for matching ranges. Fast compiler, optimized regex, and validated against more than 2.78 million test assertions. Useful for creating regular expressions to validate numbers, ranges, years, etc.

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

KDD17_FMG

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Deep reinforcement learning for recommendation system

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

Building recommenders with Elastic Graph!

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

🎨 A complete Pattern Matching library for TypeScript, with smart type inference.

⚡ Pattern Matching in Typescript

A Deep Learning Recommender System

Recommender System Using Parallel Matrix Factorization

图像识别与推荐系统两类

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

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 TensorFlow recommendation algorithm and framework in Python.

6th Solution for 2020-KDDCUP Debiasing Challenge

Recursive, data driven pattern matching for Clojure

🌊 FluRS: A Python library for streaming recommendation algorithms

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

ElasticCTR，即飞桨弹性计算推荐系统，是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务，帮助用户在Kubernetes环境中一键完成推荐系统部署，具备高性能、工业级部署、端到端体验的特点，并且作为开源套件，满足二次深度开发的需求。

Flexible and extendable recommender system based on an abstract User-Product-Tag schema

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

A Clojure library for querying large data-sets on similarity

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Match faces on id cards with OCR capabilities.

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

User-friendly glob matching

Attention,Factorization Machine, Deep Learning, Recommender System

Neural Collaborative Filtering

🍊 👎 Add-on for Orange3 to support recommender systems.

Machine Learning Platform and Recommendation Engine built on Kubernetes

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

Exposure Matrix Factorization: modeling user exposure in recommendation

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

🎬instant recommending or finding or downloading movies via the command line

An index of algorithms for learning causality with data

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

🍃 Recommender System in JavaScript for the MovieLens Database

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Java-Based Context-aware Recommendation Library

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)