Lambda Dispatch for AWS Lambda - Avoid cold starts, save up to 80%!
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Updated
May 6, 2024 - C#
Lambda Dispatch for AWS Lambda - Avoid cold starts, save up to 80%!
A curated list of papers on cold-start recommendations.
(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"
Temporally and Distributionally Robust Optimization for Cold-start Recommendation (AAAI'24)
cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets
Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
Source codes and datasets for paper "Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives" (AAAI2024)
Pre-training and Transfer learning papers for recommendation
papers of universal user representation learning for recommendation
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
An application to help prevent cold starts in AWS Lambda functions.
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.
This repository contains a Python Implementation of AutoPV for automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Python, K-fold, RMSE, Pearson
Power Tools for AI Engineers With Deadlines
Python implementation of "Content-based recommendations with poisson factorization", with some extensions
[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach
迁移学习,预训练,表征学习,跨域推荐,冷启动,用户画像
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