All Projects → hjr265 → toptal-recommengine

hjr265 / toptal-recommengine

Licence: other
Prototype recommendation engine built to accompany an article on Toptal Blog

Programming Languages

coffeescript
4710 projects

Projects that are alternatives of or similar to toptal-recommengine

GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (+363.3%)
Mutual labels:  recommendation-system
awesome-graph-self-supervised-learning-based-recommendation
A curated list of awesome graph & self-supervised-learning-based recommendation.
Stars: ✭ 37 (-66.06%)
Mutual labels:  recommendation-system
Recommendation-system
推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品/Demo
Stars: ✭ 169 (+55.05%)
Mutual labels:  recommendation-system
data-science-popular-algorithms
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.
Stars: ✭ 65 (-40.37%)
Mutual labels:  recommendation-system
seminar
ECNU ICA seminar materials
Stars: ✭ 14 (-87.16%)
Mutual labels:  recommendation-system
BERT4Rec-VAE-Pytorch
Pytorch implementation of BERT4Rec and Netflix VAE.
Stars: ✭ 212 (+94.5%)
Mutual labels:  recommendation-system
retailbox
🛍️RetailBox - eCommerce Recommender System using Machine Learning
Stars: ✭ 32 (-70.64%)
Mutual labels:  recommendation-system
intergo
A package for interleaving / multileaving ranking generation in go
Stars: ✭ 30 (-72.48%)
Mutual labels:  recommendation-system
WSDM2022-PTUPCDR
This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
Stars: ✭ 65 (-40.37%)
Mutual labels:  recommendation-system
Long-Tail-GAN
Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering
Stars: ✭ 19 (-82.57%)
Mutual labels:  recommendation-system
recommender system with Python
recommender system tutorial with Python
Stars: ✭ 106 (-2.75%)
Mutual labels:  recommendation-system
cs6101
The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.
Stars: ✭ 17 (-84.4%)
Mutual labels:  recommendation-system
mildnet
Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
Stars: ✭ 76 (-30.28%)
Mutual labels:  recommendation-system
NVTabular
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.
Stars: ✭ 797 (+631.19%)
Mutual labels:  recommendation-system
listenbrainz-labs
A collection tools/scripts to explore the ListenBrainz data using Apache Spark.
Stars: ✭ 16 (-85.32%)
Mutual labels:  recommendation-system
datatheque.com
a data science blog
Stars: ✭ 12 (-88.99%)
Mutual labels:  recommendation-system
Recommendation-System-Baseline
Some common recommendation system baseline, with description and link.
Stars: ✭ 34 (-68.81%)
Mutual labels:  recommendation-system
TIFUKNN
kNN-based next-basket recommendation
Stars: ✭ 38 (-65.14%)
Mutual labels:  recommendation-system
JD2Skills-BERT-XMLC
Code and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework
Stars: ✭ 33 (-69.72%)
Mutual labels:  recommendation-system
Tf-Rec
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.
Stars: ✭ 18 (-83.49%)
Mutual labels:  recommendation-system

Toptal-Recommengine

Toptal-Recommengine is a prototype recommendation engine built to accompany an article on Toptal Blog.

Usage

To use this, you need to have the latest version of Node.js and NPM installed.

git clone https://github.com/hjr265/toptal-recommengine.git
cd toptal-recommengine
npm install
npm start
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].