movie-recommender
LT-OCF
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| movie-recommender | LT-OCF | |
|---|---|---|
| 1 | 1 | |
| 6 | 20 | |
| - | - | |
| 6.1 | 10.0 | |
| over 3 years ago | over 1 year 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.
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.
LT-OCF
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[R] Blurring-Sharpening Process Models for Collaborative Filtering (TLDR: graph filtering-based methods + inspired by SGMs = SOTA models for recommender systems)
We have more exciting works on recommender systems; please check our LT-OCF (code) and HMLET (code)!
What are some alternatives?
recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
Federated-Recommendation-Neural-Collaborative-Filtering - Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
BSPM - Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23
psych-verbs - Research experiment design and classification of Romanian emotion verbs
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
HMLET - Linear, or Non-Linear, That is the Question!, WSDM'22
speech-emotion-recognition - A program that uses neural networks to detect emotions from pre-recorded and real-time speech
neural_collaborative_filtering - Neural Collaborative Filtering
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
matrix-factorization - Library for matrix factorization for recommender systems using collaborative filtering