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)
深度学习与推荐系统学习,理论结合代码更香。
Scaffolding for Cloud Functions deployed with the Firebase CLI that minimize cold starts by using TypeScript async imports
A curated list of papers on cold-start recommendations.
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
Lambda Dispatch for AWS Lambda - Avoid cold starts, save up to 80%!
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.
Python implementation of "Content-based recommendations with poisson factorization", with some extensions
Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
ColdRec: An Open-Source Benchmark Toolbox for Cold-Start Recommendation.
papers of universal user representation learning for recommendation
[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"
Our solution for Recsys Challenge 2017.
[ACL2018] Cold-Start Aware User and Product Attention for Sentiment Classification
Pre-training and Transfer learning papers for 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)
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
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)
Proving Recommendations in case of Cold-start situations
AWS Lambda custom runtime with GraalVM native-image binary
From Zero to Hero: Cold-Start Anomaly Detection (ACL 2024)