Masoud Mansoury

Recommender Systems · 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 Masoud Mansoury trusts overall

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

  1. Paul Resnick
  2. F. Maxwell Harper
  3. Allison June-Barlow Chaney
  4. Steffen Rendle
  5. A. D'Amour
  6. Himan Abdollahpouri
  7. J. Konstan
  8. Brandon M Stewart
  9. Christoph Freudenthaler

Who trusts Masoud Mansoury overall

  1. Shashank Rajput

Papers from Masoud Mansoury's perspective

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

  1. An open architecture for collaborative filtering of netnews
  2. The MovieLens Datasets: History and Context
  3. Human Interaction with Recommendation Systems: On Bias and Exploration
  4. BPR: Bayesian Personalized Ranking from Implicit Feedback
  5. Beyond Parity: Fairness Objectives for Collaborative Filtering
  6. Challenging the Long Tail Recommendation (Proceedings of the VLDB Endowment)
  7. How algorithmic confounding in recommendation systems increases homogeneity and decreases utility
  8. Fairness is not static: deeper understanding of long term fairness via simulation studies
  9. Degenerate Feedback Loops in Recommender Systems
  10. Multistakeholder recommendation: Survey and research directions (User modeling and user-adapted interaction)

Their papers