Data Science · One build, frame by frame
NLP Book Recommendation
Embeddings that actually recommend.
A semantic book recommendation engine using Hugging Face embeddings to surface suggestions by meaning rather than keywords.
Data SciencePythonHugging FaceJupyterNLP
01 — The problem
Keyword search misses books that are conceptually similar but worded differently.
02 — What I built
Embedded titles/descriptions with Hugging Face models and ranked recommendations by semantic similarity.
03 — What changed
A recommender that suggests by meaning, surfacing relevant books keyword search would miss.
See it for yourself