implicit
movie-recommender
| implicit | movie-recommender | |
|---|---|---|
| 3 | 1 | |
| 3,427 | 6 | |
| - | - | |
| 6.2 | 6.1 | |
| about 2 months ago | over 3 years ago | |
| Python | Python | |
| 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
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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.
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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.
movie-recommender
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4 tips for creating an impressive data science portfolio on GitHub
For example, for my research project on psych-verbs I wrote a paper-like README targeted at academics/fellow linguists, whereas for my movie recommender system I wrote an informal short description and included a screencast, aimed at a general audience.
What are some alternatives?
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
psych-verbs - Research experiment design and classification of Romanian emotion verbs
fastFM - fastFM: A Library for Factorization Machines
letterboxd_recommendations - Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
RecBole - A unified, comprehensive and efficient recommendation library
speech-emotion-recognition - A program that uses neural networks to detect emotions from pre-recorded and real-time speech
spotlight - Deep recommender models using PyTorch.
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.