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Is doing knn on the output of a music artist classifier a good way to build a system that suggests new music?
1 project | reddit.com/r/learnmachinelearning | 9 Mar 2022
Approximate Nearest Neighbors is what Spotify uses for music recommendations: https://github.com/spotify/annoy
Anatomy of a txtai index
4 projects | dev.to | 2 Mar 2022
embeddings - The embeddings index file. This is an Approximate Nearest Neighbor (ANN) index with either Faiss (default), Hnswlib or Annoy, depending on the settings.
Should we begin Linear Algebra with Matrices, or start with Vector Spaces?
1 project | reddit.com/r/math | 18 Jan 2022
Take for example Spotifies implementation of ANN https://github.com/spotify/annoy.
Faiss: Facebook's open source vector search library
8 projects | news.ycombinator.com | 14 Dec 2021
I built an Image Search Engine using OpenAI CLIP and Images from Wikimedia
3 projects | reddit.com/r/learnmachinelearning | 30 Nov 2021
I used for this project Flask and OpenAI CLIP. For the vector search I used approximate nearest neighbors provided by spotify/annoy. I used Flask-SQLAlchemy with GeoAlchemy2 to query GPS coordinates. The embedding was done using UMAP.
Facebook AI Similarity Search (Faiss)
3 projects | news.ycombinator.com | 20 Nov 2021
I’ve used annoy  for vector-similarity search before. Does anyone know the differences between Faiss and annoy? Thanks!
txtai - Semantic search backed by machine-learning powered workflows
8 projects | reddit.com/r/opensource | 3 Sep 2021
🔎 Large-scale similarity search with multiple index backends (Faiss, Annoy, Hnswlib)
NLP Method(s) for Finding Commonalities?
2 projects | reddit.com/r/LanguageTechnology | 13 Aug 2021
Create a ANN search index using Annoy or FAISS
Announcing Hora 0.1.0, an approximate nearest neighbor search algorithm library in rust
4 projects | reddit.com/r/rust | 30 Jul 2021
How does this compare to something like annoy, it's used and written by Spotify.
[D] can you use a decision tree for clustering?
1 project | reddit.com/r/statistics | 28 Jun 2021
Recommendation system integration
1 project | reddit.com/r/django | 31 Mar 2022
Content-based Recommender System with Python
1 project | dev.to | 4 Jan 2022
Although CF methods also have some explainability available. CF library https://github.com/benfred/implicit which I used a lot in my past projects, e.g. has the method model.explain available for that.
Tensorflow Recommender (TFRS) or Scikit-Surprise?
1 project | reddit.com/r/deeplearning | 24 Jan 2021
In that case, you are doing some form of collaborative filtering, though you can also add content-based filtering as additional features later. You can use either implicit or explicit feedback. I would suggest checking this package, and this tutorial. Let me know if you have any other questions.
What are some alternatives?
faiss - A library for efficient similarity search and clustering of dense vectors.
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
hnswlib - Header-only C++/python library for fast approximate nearest neighbors
fastFM - fastFM: A Library for Factorization Machines
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
spotlight - Deep recommender models using PyTorch.
RecBole - A unified, comprehensive and efficient recommendation library
hora - 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
libffm - A Library for Field-aware Factorization Machines