eifuentes/awesome-embeddings
🪁A curated list of awesome resources around entity embeddings
This is a curated collection of resources for building recommendation engines that suggest products, content, or services to users. It provides articles, tools, and datasets to help you implement or improve systems that take user behavior data (like past purchases or views) and output personalized recommendations. It's designed for data scientists, machine learning engineers, and product managers involved in developing intelligent recommendation features for e-commerce, media, or other platforms.
No commits in the last 6 months.
Use this if you need to build or enhance a system that suggests items to users based on their preferences and interactions, such as recommending products on an e-commerce site or videos on a streaming platform.
Not ideal if you are looking for a ready-to-use, off-the-shelf recommendation system without any development work.
Stars
14
Forks
1
Language
—
License
CC0-1.0
Category
Last pushed
Jan 02, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/eifuentes/awesome-embeddings"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Featured in
Higher-rated alternatives
embeddings-benchmark/mteb
MTEB: Massive Text Embedding Benchmark
harmonydata/harmony
The Harmony Python library: a research tool for psychologists to harmonise data and...
yannvgn/laserembeddings
LASER multilingual sentence embeddings as a pip package
embeddings-benchmark/results
Data for the MTEB leaderboard
Hironsan/awesome-embedding-models
A curated list of awesome embedding models tutorials, projects and communities.