Time Sensitive Item Based Recommendation System
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Updated
Sep 29, 2016 - Java
Time Sensitive Item Based Recommendation System
Use the Microsoft Cognitive Services Recommendations API with EPiServer Commerce
Improving User Recommendation by Extracting Social Topics and Interest Topics of Users in Uni-Directional Social Networks.
Tensorflow-based Recommendation systems
Pipeline to create features and upload them for Azure ML and the Cognitive Services recommendation engines
Factorization Machines with Newton's Method
Restaurant recommendations and review text-based quality predictions
Bachelor's Thesis "A Recommender Framework for Skills Management"
Python Recommender Lab
algorithms about recommender systems:probabilistic matrix factorization
All the coursera courses I did
Framework For Analyses in Recommender Systems
Will be used for analyzing xing db and suggest better recommendation systems evaluation
Pyreclab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, GRIMA Lab and SocVis…
A repo for implementing, understanding and analyzing recommender systems in Python.
Different recommendation algorithms based on CF, CBF and association analysis
Tune Model Hyperparameters Module for the Persa.jl framework
Repository for Spring 2017 semester project Music Recommendation in the City
Python scripts that use MovieLens dataset to give movie predictions.
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