Keyword

cold start

Description: A cold start is the difficulty a recommendation or prediction system faces when it lacks data about new users, items, or other entities.

Primary topic: Recommender Systems and Techniques (44%)

Wikidata ID: wiki/Q5142480

OpenAlex ID: keywords/cold-start

Methods and metrics for cold-start recommendations

2002 · Andrew I. Schein, Alexandrin Popescul, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 1,801

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Towards Total Recall in Industrial Anomaly Detection

2022 · Karsten Roth, Latha Pemula, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,782

A matrix factorization technique with trust propagation for recommendation in social networks

2010 · Mohsen Jamali, Martin Ester · ACM Conference on Recommender Systems (RecSys) · 1,660

Materials, technological status, and fundamentals of PEM fuel cells – A review

2019 · Yun Wang, Daniela Fernanda Ruiz Diaz, et al. · Materials Today · 1,414

RippleNet

2018 · Hongwei Wang, Fuzheng Zhang, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 1,250

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Heterogeneous Information Network Embedding for Recommendation

2018 · Chuan Shi, Binbin Hu, et al. · IEEE Transactions on Knowledge and Data Engineering · 1,207

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Knowledge Graph Convolutional Networks for Recommender Systems

2019 · Hongwei Wang, Miao Zhao, et al. · 1,194

Water transport in polymer electrolyte membrane fuel cells

2010 · Kui Jiao, Xianguo Li · Progress in Energy and Combustion Science · 1,083

VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback

2016 · Ruining He, Julian McAuley · Proceedings of the AAAI Conference on Artificial Intelligence · 1,027

Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts

2016 · Qiang Liu, Shu Wu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1,013

A Survey on Knowledge Graph-Based Recommender Systems

2020 · Qingyu Guo, Fuzhen Zhuang, et al. · IEEE Transactions on Knowledge and Data Engineering · 992

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Deep content-based music recommendation

2013 · Aäron van den Oord, Sander Dieleman, et al. · Ghent University Academic Bibliography (Ghent University) · 952

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Learning to recommend with social trust ensemble

2009 · Hao Ma, Irwin King, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 873

A review of the main parameters influencing long-term performance and durability of PEM fuel cells

2008 · Wolfgang Schmittinger, Ardalan Vahidi · Journal of Power Sources · 819

TrustWalker

2009 · Mohsen Jamali, Martin Ester · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 771

Degradation mechanisms of proton exchange membrane fuel cell under typical automotive operating conditions

2020 · Peng Ren, Pucheng Pei, et al. · Progress in Energy and Combustion Science · 732

A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting

2021 · Akshit Kurani, Pavan Doshi, et al. · Annals of Data Science · 729

Collaborative filtering and deep learning based recommendation system for cold start items

2016 · Jian Wei, Jianhua He, et al. · Expert Systems with Applications · 715

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2007 · Hyung Jun Ahn · Information Sciences · 712

Facing the cold start problem in recommender systems

2013 · Blerina Lika, Kostas Kolomvatsos, et al. · Expert Systems with Applications · 659

A systematic review and research perspective on recommender systems

2022 · Deepjyoti Roy, Mala Dutta · Journal Of Big Data · 628

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2013 · Haifeng Liu, Zheng Hu, et al. · Knowledge-Based Systems · 605

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TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings

2015 · Guibing Guo, Jie Zhang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 594

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Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

2019 · Hongwei Wang, Fuzheng Zhang, et al. · 557

Regression-based latent factor models

2009 · Deepak Agarwal, Bee-Chung Chen · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 520

Works count: 15,780

Citation count: 193,000