A website for recommending books
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Updated
Dec 17, 2019 - Python
A website for recommending books
Global optimization for mixed membership matrix factorization for omics data. Code for Zhang, et al, 2019
Applied linear Algebra Projects -Spring 2022
Recommender System
Autoencoding Topographic Factors
Finds the L factor for a given mxn matrix.
Recommender System 2019 Challenge PoliMi
Coursework to create a recommender system using a variant of matrix factorisation
Competition for the Recommender Systems course @ PoliMi. The objective is to recommend relevant TV shows to users. Models were evaluated on their MAP@10.
Recommender System project that uses Weighted Matrix Factorisation to learn user and items embeddings from a (sparse) feedbacks matrix, and uses them to perform user-specific suggestions
This repo contains code for restuarant recommendation system for users based upon business rating value.
Programming Assignment of IR2020 at NTU (Lectured by PJ Cheng)
Build a recommender system for articles read online in a website. There are many methods in the modern machine learning era which could be deployed to make models for this recommendation system.
Linear kernel and non-linear kernel can mutually reinforce each other to learn complex user-item activities based on reliability score and view score for predicting rating more accurately
Neural matrix factorization movie recommender paired with image similarity in poster design
Matrix Factorization Implementation with Python
A knowledge/rank based recommendation system, a similarity based collaborative filtering algorithms and a matrix factorisation based collaborative filtering system. Still a work in progress.
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