Panagiotis Symeonidis
Information Systems · 2008–2012
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 20 citations into it; #1,338 of 8,771 by trust here, #2,471 by citations
- Artificial Intelligence — 17 citations into it; #8,717 of 35,345 by trust here, #14,438 by citations
- Computer Vision and Pattern Recognition — 10 citations into it; #14,482 of 21,575 by trust here, #16,787 by citations
- Signal Processing — 6 citations into it
- Recommender Systems — 5 citations into it
Whom Panagiotis Symeonidis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Raymond J. Mooney
- Jon M. Kleinberg
- Mustafa Bilgic
- Prem Melville
- Nava Tintarev
- Jonathan L. Herlocker
- Lieven De Lathauwer
- Loriene Roy
- Andreas Hotho
- Zhichen Xu
Who trusts Panagiotis Symeonidis overall
- Steffen Rendle
- Yue Shi
- Xu Chen
- Jesús Bobadilla
- Ralf Krestel
- Alexis Papadimitriou
- Chen He
- Nick Vannieuwenhoven
- Lars Schmidt-Thieme
- Vito Bellini
Papers from Panagiotis Symeonidis's perspective
Ordered by how strongly the researchers Panagiotis Symeonidis trusts endorse each paper. Same corpus, a different order for every researcher.
- Fab: content-based, collaborative recommendation
- Explaining collaborative filtering recommendations
- Evaluating collaborative filtering recommender systems
- ImageNet classification with deep convolutional neural networks
- Empirical Analysis of Predictive Algorithms for Collaborative Filtering
- Hybrid Recommender Systems: Survey and Experiments
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Content-based book recommending using learning for text categorization
Their papers
- A generalized taxonomy of explanations styles for traditional and social recommender systems (2012) — 126 citations
- MoviExplain: a recommender system with explanations (2009) — 132 citations
- Tag recommendations based on tensor dimensionality reduction (2008) — 344 citations