Visitor monitoring web app for my homepage aabbtree77.github.io. This repo is the server side. It uses vanilla Js, node, MongoDB, hosted on render.com.
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Updated
Jan 27, 2024 - JavaScript
Visitor monitoring web app for my homepage aabbtree77.github.io. This repo is the server side. It uses vanilla Js, node, MongoDB, hosted on render.com.
Node Duplication Improves Cold-start Link Prediction
Collaborating Filtering Project
Social network link prediction using graph mining and machine learning
Proving Recommendations in case of Cold-start situations
Implementation of paper: Equivariant Learning for Out-of-Distribution Cold-start Recommendation. (backbone model CLCRec) (MM'23)
Case study project for recommending movies to users.
Project recommendation system for DonorsChoose.org in R based on RFM analysis and K-Means Clustering
Data generation, model training and evaluation pipelines for the cold-start setting.
Pre-training and Transfer learning papers for recommendation
Implementation of z-scoREC and ImposeSVD for top-N recommendations
Temporally and Distributionally Robust Optimization for Cold-start Recommendation (AAAI'24)
AWS low-level API client
Python, K-fold, RMSE, Pearson
Notes I made on Azure Functions cold-start behavior
using stargz snapshotter on k3s
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
Apps used in serverless experiments
Master Thesis @ Charles University - "Probabilistic Models for Recommender Systems"
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