Francesco Ricci

Information Systems · Recommender Systems Handbook · 2004–2016

A researcher in the Science corpus: 8 papers; trusts 48 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Ricci trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Robin D. Burke
  2. Yehuda Koren
  3. Gediminas Adomavicius
  4. J. Konstan
  5. Badrul Munir Sarwar
  6. John Riedl
  7. J. Schafer
  8. Alexander Tuzhilin
  9. Richard S. Sutton
  10. Jonathan L. Herlocker

Who trusts Francesco Ricci overall

  1. Hao Wang
  2. M. M. Afsar
  3. Yongfeng Zhang
  4. P. Li
  5. Shachar Mirkin
  6. Mehdi Elahi
  7. Damianos Gavalas
  8. Jamie Murphy
  9. John K. Tarus
  10. Ulrike Gretzel

Papers from Francesco Ricci's perspective

Ordered by how strongly the researchers Francesco Ricci trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Using collaborative filtering to weave an information tapestry
  2. Evaluating collaborative filtering recommender systems
  3. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
  4. Reinforcement Learning: An Introduction
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Empirical Analysis of Predictive Algorithms for Collaborative Filtering
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers