recommendation-algorithm

Best Practices on Recommendation Systems

A TensorFlow recommendation algorithm and framework in Python.

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

⚡ A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize

A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.

This is a new deep learning model for recommender system, which we called PHD

🔱 Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.

Finding recommendations between them all. Work in progress.

Code for RecSys'19 paper: Leveraging Post-click Feedback for Content Recommendations

Board game recommendation engine

A book recommendations application that works on the Dash framework and implements content based filtering using TF-IDF and cosine similarity.

A real-time news scraping and recommendation system

[PY]thon [R]ec[O]mmender [S]ystems library

[Pytorch] Official Implementation of "RoTE: Coarse-to-Fine Multi-Level Rotary Time Embedding for Sequential Recommendation" (SIGIR'26)

A lightweight recommendation algorithm framework based on LycorisNet.

MIT xPRO Data Science Course Movie Recommendations Case Study

RLProp — results-level proportional selection for multi-objective recommender systems: pick top-k items so relevance, diversity, novelty & fairness appear in the ratios you set, via mandate-allocation / fuzzy-D'Hondt. Pure-NumPy, pip-installable Python library. Re-ranking · MOO · SIGIR'22.

a personalized, offline, imaginary social media feed

Movie Recommendation Engine based on a K-Means clustering algorithm of IMDB public data. Node server for user interface.