Best Practices on Recommendation Systems
-
Updated
May 16, 2024 - Python
Best Practices on Recommendation Systems
a personalized, offline, imaginary social media feed
Board game recommendation engine
Source code for Twitter's Recommendation Algorithm.
An easy and efficient tool to build sequential recommendation system utilizing SASRec
A TensorFlow recommendation algorithm and framework in Python.
Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Contextual Movie Recommender System built on mobile with the aim of showing interest based movies from the huge amount of data based on rating of user and critics which would be crawled from the specified website. Recommender System are primarily directed towards individuals who lack sufficient personal experience or competence to evaluate the po…
Recommendation frameworks for research
Book recommendation algorithm using K-Nearest Neighbors
A book recommendations application that works on the Dash framework and implements content based filtering using TF-IDF and cosine similarity.
Recommendation System for question / requirement and recommended answer from knowledge base
Research on User Profile and Resource Recommendation of Online Learning Platform Based on Collaborative Filtering Algorithm
An algorithm performance report on the itemKNN algorithm using collaborative filtering paradigm as the learning method. I created this report during my summer internship at B2BPlanet.com
A collection of scientific projects in C++ and Python
Add a description, image, and links to the recommendation-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the recommendation-algorithm topic, visit your repo's landing page and select "manage topics."