Immanuel Bayer
Information Systems · 2016
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 15 citations into it; #4,220 of 8,771 by trust here, #4,518 by citations
- Artificial Intelligence — 9 citations into it; #20,291 of 35,345 by trust here, #21,316 by citations
- Management Science and Operations Research — 8 citations into it; #6,784 of 11,946 by trust here, #5,316 by citations
- Recommender Systems — 8 citations into it
Whom Immanuel Bayer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steffen Rendle
- Christoph Freudenthaler
- Zeno Gantner
- Yifan Hu
- Yehuda Koren
- Lars Schmidt-Thieme
- Yue Shi
- Lucas Drumond
Who trusts Immanuel Bayer overall
- Xiangnan He
- Xiang Wang
- Tat-seng Chua
- Weiyu Cheng
- Feng Xue
- Wenqiang Lei
- Yihong Chen
- Xiaoyu Du
- Xinyang Yi
- Zhankui He
Papers from Immanuel Bayer's perspective
Ordered by how strongly the researchers Immanuel Bayer trusts endorse each paper. Same corpus, a different order for every researcher.
- Collaborative Filtering for Implicit Feedback Datasets
- BPR: Bayesian Personalized Ranking from Implicit Feedback
- CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering
- ImageNet classification with deep convolutional neural networks
- Factorization Machines with libFM
- Factorizing personalized Markov chains for next-basket recommendation (The Web Conference)
- Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
- Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- A Generic Coordinate Descent Framework for Learning from Implicit Feedback (2016) — 233 citations