Awsome Embeddings

A curated list of awesome resources around entity embeddings.

Contents

• Recommendation
  • Articles & Papers
  • Tools
  • Datasets
  • Videos
  • Lists

Recommendation

Recommendations engines based on entity embeddings.

Articles

• Applying Deep Learning to Related Pins
• Applying word2vec to Recommenders and Advertising
• Instagram’s Explore recommender system
• Home Embeddings for Similar Home Recommendations
• Building a Recommender System Using Embeddings
• Deep neural networks for YouTube recommendations
• The Illustrated Word2vec
• Real-time Personalization using Embeddings for Search Ranking at Airbnb
• Listing Embeddings in Search Ranking
• Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
• Machine learning @ Spotify
• Using Word2vec for Music Recommendations
• Embedding Everything for Anything2Anything Recommendations
• Learning Embeddings for Music Recommendation with MXNet’s Sparse API
• How GOAT Taught a Machine to Love Sneakers
• Wide & Deep Learning for Recommender Systems
• Deep Learning with Emojis Not Math
• Collaborative Filtering for Implicit Feedback Datasets
• Applications of the conjugate gradient method for implicit feedback collaborative filtering
• BPR: Bayesian Personalized Ranking from Implicit Feedback
• WSABIE: Scaling Up To Large Vocabulary Image Annotation aka WARP
• Logistic Matrix Factorization for Implicit Feedback Data
• Revisiting the Performance of iALS on Item Recommendation Benchmarks
• Neural Collaborative Filtering
• BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
• Self-Attentive Hawkes Process
• Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
• Variational Autoencoders for Collaborative Filtering
• Towards Large Scale Training Of Autoencoders For Collaborative Filtering
• Degenerate Feedback Loops in Recommender Systems
• Deconvolving Feedback Loops in Recommender Systems
• Collaborative Filtering with Temporal Dynamics
• Learning Representations of Hierarchical Slates in Collaborative Filtering
• Tuning Word2vec for Large Scale Recommendation Systems
• Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
• Embarrassingly Shallow Autoencoders for Sparse Data
• Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)
• RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
• On the Difficulty of Evaluating Baselines: A Study on Recommender Systems
• Hybrid Recommender System based on Autoencoders
• AutoRec: Autoencoders Meet Collaborative Filtering
• Self-Attentive Sequential Recommendation
• Scaling Factorization Machines to Relational Data
• Bayesian Factorization Machines
• Challenging the Long Tail Recommendation
• Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model
• Deep Interest Network for Click-Through Rate Prediction aka GAUC

Tools

• Spotlight
• LightFM
• Implicit
• Microsoft Recommenders
• Tensorflow Recommenders
• Facebook DLRM
• NVIDIA HugeCTR
• NVIDIA Transformers4Rec
• NVIDIA DeepRecommender
• RecNN
• OpenRec
• Flurs
• DeepMatch
• Recoder

Datasets

• Criteo 1TB Click Logs
  • Kaggle Version

Videos

• How NVIDIA Supports Recommender Systems
• RecSys 2020 Tutorial: Feature Engineering for Recommender Systems
• Grandmaster Series – How to Build a Winning Deep Learning Recommender System

Lists

• Papers with Code - Recsys

Contribute

Contributions welcome! Read the contribution guidelines first.