Communication-Efficient Stratified Stochastic Gradient Descent for Distributed Matrix Completion
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Updated
May 8, 2023 - C
Communication-Efficient Stratified Stochastic Gradient Descent for Distributed Matrix Completion
DST approach on Recommended Systems(RS).
An ontology proposed for annotates semantically the data of a Twitter user, for instance: tweets; profile.
Implementation of faster Bayesian Optimization method for Matrix Factorization models hyperparameters and experiments with it.
Implementation of the paper - Neural Collaborative Filtering
GitSum is a novel approach to the summarization of README.MD, it helps automatically fill the blank “About” field for GitHub repositories. It is built on top of BART and T5, fine-tuning on existing data to perform recommendations for repositories with a missing description.
A one-stop site for discovering and getting recommendations on Movies & TV Shows.
This repository is for study recommender systems.
A movie recommendation engine
Content-based filtering uses item features to recommend other items similar to what the user likes, based on their previous actions or explicit feedback. I have applied basic content-based recommendation system using python.
This repository explores the use of tensorrec library in python to make a recommendation system for anime.
Implementation of model-based and memory-based collaborative filtering to predict movie rating
Challenge for the "Recommender Systems" course at Politecnico di Milano - AY 2023/2024
All the coursera courses I did
CS422 - Introduction to data mining
A repository to practice with recommendation engines.
This contains various projects under data science domain .
Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation [TKDE 2021]
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