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
A curated list of resources on cold-start recommendations.
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
(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
An application to help prevent cold starts in AWS Lambda functions.
Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.
keep lambdas warm and monitor cold starts with a simple decorator
Lambda Dispatch for AWS Lambda - Avoid cold starts, save up to 80%!
cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets
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.
ColdRec: An Open-Source Benchmark Toolbox for Cold-Start Recommendation.
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.
papers of universal user representation learning for recommendation
[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
[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
Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)
Code for Blog Post: Can Better Cold-Start Strategies Improve RL Training for LLMs?
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)
Deep-learning-based service recommendation in a cold-start scenario of mashup development
Temporally and Distributionally Robust Optimization for Cold-start Recommendation (AAAI'24)
Proving Recommendations in case of Cold-start situations