implicit
recommendation-algorithm
Our great sponsors
| implicit | recommendation-algorithm | |
|---|---|---|
| 3 | 2 | |
| 3,420 | 71 | |
| - | - | |
| 6.2 | 0.0 | |
| 30 days ago | almost 2 years ago | |
| Python | PHP | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
implicit
- Recommendation system integration
-
Content-based Recommender System with Python
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?
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.
recommendation-algorithm
-
Open source PHP package: recommendation algorithm (recommend movies, books and among other products)
Github source code
-
Recommendation algorithms: collaborative filtering
recommendation algorithm
What are some alternatives?
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
RecBole - A unified, comprehensive and efficient recommendation library
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
movie-recommender - Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface
fastFM - fastFM: A Library for Factorization Machines
Laravel - Laravel is a web application framework with expressive, elegant syntax. We’ve already laid the foundation for your next big idea — freeing you to create without sweating the small things.
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
pcbr-demo - Github Action powered repository that automatically converts raw tables into neat Markdown and YFM pages for PCBR algorithm demo purposes
Laravel - The Laravel Framework.
spotlight - Deep recommender models using PyTorch.
libffm - A Library for Field-aware Factorization Machines