thiagomarquesrocha/tenebris

Um sistema de recomendação híbrido de trabalhos acadêmicos para apoio a pesquisa científica, baseado em componentes de filtragem de informação, foi desenvolvido para Web, utilizando frameworks, tais como, Lucene, Mahout e Angular JS.

10
/ 100
Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 1 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

1

Forks

—

Language

Java

License

Apache-2.0

Category

book-recommendation-systems

Last pushed

Apr 17, 2023

Commits (30d)

0

GitHub
Book Recommendation Systems · 57 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/thiagomarquesrocha/tenebris"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

benfred/implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

69

NicolasHug/Surprise

A Python scikit for building and analyzing recommender systems

51

MengtingWan/goodreads

code samples for the goodreads datasets

49

GHamrouni/Recommender

A C library for product recommendations/suggestions using collaborative filtering (CF)

48

pyemma/Argo

A ML playground for education purpose

45

Explore ML Frameworks

All categories Trending ML Framework directory Insights