Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-embeddings
🪁A curated list of awesome resources around entity embeddings
https://github.com/eifuentes/awesome-embeddings
- 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
- 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
- Spotlight
- LightFM
- Implicit
- Microsoft Recommenders
- Tensorflow Recommenders
- Facebook DLRM
- NVIDIA HugeCTR
- NVIDIA Transformers4Rec
- NVIDIA DeepRecommender
- RecNN
- OpenRec
- Flurs
- DeepMatch
- Recoder
- Criteo 1TB Click Logs
- Kaggle Version
- How NVIDIA Supports Recommender Systems
- RecSys 2020 Tutorial: Feature Engineering for Recommender Systems
- Grandmaster Series – How to Build a Winning Deep Learning Recommender System
- Papers with Code - Recsys
Keywords
recommender-system
9
machine-learning
6
deep-learning
5
matrix-factorization
5
recommendation-system
4
collaborative-filtering
4
pytorch
4
python
3
recommendation
3
factorization-machines
2
recommender
2
learning-to-rank
2
seq2seq
1
recsys
1
nlp
1
language-model
1
huggingface
1
gtp
1
bert
1
gpu-acceleration
1
cpp
1
tensorflow-recommenders
1
tensorflow
1
autoencoder
1
youtubednn
1
mind
1
matching
1
dssm
1
comirec
1
data-science
1
recommendation-algorithm
1
ml
1
deep-neural-networks
1
toolkit
1
reinforcement-learning
1
pytorch-rl
1
news-recommendation
1
library
1
recommendation-engine
1
gpu
1
deep-autoencoders
1
xlnet
1
transformer
1
tabular-data
1
session-based-recommendation
1