There are 2 repositories under cold-start topic.
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.
This repository includes some papers that I have read or which I think may be very interesting.
Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
Scaffolding for Cloud Functions deployed with the Firebase CLI that minimize cold starts by using TypeScript async imports
深度学习与推荐系统学习,理论结合代码更香。
An application to help prevent cold starts in AWS Lambda functions.
keep lambdas warm and monitor cold starts with a simple decorator
cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets
Python implementation of "Content-based recommendations with poisson factorization", with some extensions
A recommender engine built for a Bay Area online dating website to maximize the successful matches by introducing hybrid recommender system and reverse match technique.
Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
Lambda Dispatch for AWS Lambda - Avoid cold starts, save up to 80%!
papers of universal user representation learning for recommendation
[ACL2018] Cold-Start Aware User and Product Attention for Sentiment Classification
Pre-training and Transfer learning papers for recommendation
Our solution for Recsys Challenge 2017.
[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
Source code for GIFT (CIKM 22)
A curated list of papers on cold-start recommendations.
Code for ColdNAS: Search to Modulate for User Cold-Start Recommendation. WebConf 2023
迁移学习,预训练,表征学习,跨域推荐,冷启动,用户画像
Proving Recommendations in case of Cold-start situations
Data generation, model training and evaluation pipelines for the cold-start setting.
AWS Lambda custom runtime with GraalVM native-image binary
Example lightweight DynamoDB integration that limits AWS Lambda cold starts for Java
Master Thesis @ Charles University - "Probabilistic Models for Recommender Systems"