S. Milano

Information Systems · with Floridi · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Milano trusts overall

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

  1. Nick Seaver
  2. Engin Bozdag
  3. Luciano Floridi
  4. Gediminas Adomavicius
  5. Nava Tintarev
  6. Mariarosaria Taddeo
  7. Sirui Yao

Who trusts S. Milano overall

  1. Jonathan Stray

Papers from S. Milano's perspective

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

  1. Explaining collaborative filtering recommendations
  2. Collaborative Filtering and the Missing at Random Assumption
  3. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
  4. Designing and Evaluating Explanations for Recommender Systems
  5. Beyond Parity: Fairness Objectives for Collaborative Filtering
  6. Bias in algorithmic filtering and personalization (Ethics and Information Technology)
  7. Breaking the filter bubble: democracy and design (Ethics and Information Technology)
  8. On the (im)possibility of fairness
  9. News recommender systems - Survey and roads ahead (Information Processing & Management)
  10. Captivating algorithms: Recommender systems as traps (Journal of material culture)

Their papers