Topic: cold-start Goto Github
Some thing interesting about cold-start
Some thing interesting about cold-start
cold-start,Visitor monitoring web app for my homepage aabbtree77.hithub.io. This repo is the server side. It uses MongoDB, hosted on render.com.
User: aabbtree77
Home Page: https://aabbtree77.github.io/miniguestlog/loadGuestsSpinner.html
cold-start,Source code for GIFT (CIKM 22)
User: bayi-hu
cold-start,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)
Organization: bigdata-ustc
cold-start,Master Thesis @ Charles University - "Probabilistic Models for Recommender Systems"
User: buzzer4mornin
cold-start,Project recommendation system for DonorsChoose.org in R based on RFM analysis and K-Means Clustering
User: ck-ghub
cold-start,Scaffolding for Cloud Functions deployed with the Firebase CLI that minimize cold starts by using TypeScript async imports
User: codingdoug
cold-start,This repository includes some papers that I have read or which I think may be very interesting.
User: daicoolb
cold-start,(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
User: david-cortes
Home Page: http://cmfrec.readthedocs.io
cold-start,Python implementation of "Content-based recommendations with poisson factorization", with some extensions
User: david-cortes
cold-start,A service which creates a user preferences profile in order to solve the cold start issue for the recommending systems
User: diogo-ferreira
cold-start,Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
User: evfro
cold-start,cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets
User: fajieyuan
cold-start,迁移学习,预训练,表征学习,跨域推荐,冷启动,用户画像
User: fajieyuan
cold-start,DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
User: fajieyuan
cold-start,Pre-training and Transfer learning papers for recommendation
User: fajieyuan
cold-start,Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
User: fajieyuan
cold-start,papers of universal user representation learning for recommendation
User: fajieyuan
cold-start,深度学习与推荐系统学习,理论结合代码更香。
User: gavince
cold-start,Power Tools for AI Engineers With Deadlines
Organization: h1st-ai
Home Page: https://h1st.ai
cold-start,[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
User: iiedm
Home Page: https://arxiv.org/abs/2103.06137
cold-start,Social network link prediction using graph mining and machine learning
User: imamitsingh
cold-start,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.
User: jennytang1224
cold-start,Code for ColdNAS: Search to Modulate for User Cold-Start Recommendation. WebConf 2023
Organization: lars-research
cold-start,Our solution for Recsys Challenge 2017.
User: leavingseason
cold-start,Implementation of paper: Equivariant Learning for Out-of-Distribution Cold-start Recommendation. (backbone model CLCRec) (MM'23)
User: linxyhaha
cold-start,Temporally and Distributionally Robust Optimization for Cold-start Recommendation (AAAI'24)
User: linxyhaha
Home Page: https://arxiv.org/pdf/2312.09901.pdf
cold-start,Data generation, model training and evaluation pipelines for the cold-start setting.
Organization: mi-911
cold-start,An application to help prevent cold starts in AWS Lambda functions.
Organization: oslabs-beta
Home Page: http://www.hearthlambda.io/
cold-start,Prebaking technique paper artifacts for the ACM/IFIP Middleware 2020 conference.
User: paulofelipefeitosa
Home Page: https://dl.acm.org/doi/10.1145/3423211.3425682
cold-start,Lambda Dispatch for AWS Lambda - Avoid cold starts, save up to 80%!
Organization: pwrdrvr
cold-start,Proving Recommendations in case of Cold-start situations
Organization: recohut
Home Page: https://recohut-projects.github.io/coldstart-recsys
cold-start,Personalised and popularity-based movie recommendations.
User: riakotti
cold-start,AWS Lambda custom runtime with GraalVM native-image binary
User: rjozefowicz
cold-start,Example lightweight DynamoDB integration that limits AWS Lambda cold starts for Java
User: rjozefowicz
cold-start,Java library for building native AWS Lambda runtimes
User: rjozefowicz
cold-start,[ACL2018] Cold-Start Aware User and Product Attention for Sentiment Classification
User: rktamplayo
cold-start,keep lambdas warm and monitor cold starts with a simple decorator
User: robhowley
cold-start,Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
User: rootlu
cold-start,Collaborating Filtering Project
User: sayhitosandy
cold-start,This repository contains a Python Implementation of AutoPV for automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.
User: smeisen
cold-start,Deep-learning-based service recommendation in a cold-start scenario of mashup development
Organization: ssea-lab
cold-start,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.
User: tangxyw
Home Page: https://tangxyw.github.io/
cold-start,Implementation of z-scoREC and ImposeSVD for top-N recommendations
User: yilmazerhakan
Home Page: https://academic.oup.com/comjnl/advance-article-abstract/doi/10.1093/comjnl/bxac106/6653218
cold-start,A curated list of papers on cold-start recommendations.
User: yuanchenbei
cold-start,[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
User: yueyu1030
cold-start,This is the official code of GAR.
User: zfnwong
cold-start,[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"
User: zhengxiangshi
Home Page: https://link.springer.com/chapter/10.1007/978-3-031-56027-9_1
cold-start,Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.
Organization: zju-daily
Home Page: https://arxiv.org/abs/2202.03851
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