cold-start
There are 57 repositories under cold-start topic.
tangxyw/RecSysPapers
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.
h1st-ai/h1st
Power Tools for AI Engineers With Deadlines
daicoolb/RecommenderSystem-Paper
This repository includes some papers that I have read or which I think may be very interesting.
fajieyuan/SIGIR2020_peterrec
Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
rootlu/MetaHIN
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
david-cortes/cmfrec
(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
CodingDoug/min-functions-cold-start
Scaffolding for Cloud Functions deployed with the Firebase CLI that minimize cold starts by using TypeScript async imports
Gavince/Recommend-System
深度学习与推荐系统学习，理论结合代码更香。
oslabs-beta/Hearth
An application to help prevent cold starts in AWS Lambda functions.
robhowley/lambda-warmer-py
keep lambdas warm and monitor cold starts with a simple decorator
fajieyuan/cross-domain-recommendation
cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets
ZJU-DAILY/MetaKG
Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.
IIEdm/TaNP
[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
david-cortes/ctpfrec
Python implementation of "Content-based recommendations with poisson factorization", with some extensions
Jennytang1224/Need_a_Date
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.
evfro/recsys19_hybridsvd
Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
pwrdrvr/lambda-dispatch
Lambda Dispatch for AWS Lambda - Avoid cold starts, save up to 80%!
fajieyuan/universal_user_representation
papers of universal user representation learning for recommendation
rktamplayo/HCSC
[ACL2018] Cold-Start Aware User and Product Attention for Sentiment Classification
Leavingseason/RecsysChallenge2017
Our solution for Recsys Challenge 2017.
yueyu1030/Patron
[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
zfnWong/GAR
This is the official code of GAR.
fajieyuan/recommendation_transfer_learning_pretraining
Pre-training and Transfer learning papers for recommendation
ZhengxiangShi/SelfContrastiveLearningRecSys
[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"
fajieyuan/recommendation_dataset_pretraining
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
YuanchenBei/Awesome-Cold-Start-Recommendation
A curated list of papers on cold-start recommendations.
Bayi-Hu/GIFT-Graph-guided-Feature-Transfer-Network
Source code for GIFT (CIKM 22)
LARS-research/ColdNAS
Code for ColdNAS: Search to Modulate for User Cold-Start Recommendation. WebConf 2023
fajieyuan/pretrain_recommend_transfer
迁移学习，预训练，表征学习，跨域推荐，冷启动，用户画像
ssea-lab/MISR
Deep-learning-based service recommendation in a cold-start scenario of mashup development
recohut/coldstart-recsys
Proving Recommendations in case of Cold-start situations
Linxyhaha/TDRO
Temporally and Distributionally Robust Optimization for Cold-start Recommendation (AAAI'24)
MI-911/cold-start-framework
Data generation, model training and evaluation pipelines for the cold-start setting.
rjozefowicz/aws-lambda-graalvm-runtime
AWS Lambda custom runtime with GraalVM native-image binary
rjozefowicz/rapid-dynamodb
Example lightweight DynamoDB integration that limits AWS Lambda cold starts for Java
bigdata-ustc/Zero-1-to-3
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)