Lorenzo Porcaro
Information 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
- Information Systems — 10 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Lorenzo Porcaro trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lorenzo Porcaro's perspective
Ordered by how strongly the researchers Lorenzo Porcaro trusts endorse each paper. Same corpus, a different order for every researcher.
- Factor in the neighbors: Scalable and accurate collaborative filtering
- Bias on the web (CACM)
- Bias in algorithmic filtering and personalization (Ethics and Information Technology)
- The MovieLens Datasets: History and Context
- Music Recommendation and Discovery - The Long Tail, Long Fail, and Long Play in the Digital Music Space
- Evaluating recommender systems (International Conference on Digital Information Management)
- Invisible Women: Exposing Data Bias in a World Designed for Men
- Gender , Race , and Power in AI
- The long tail of recommender systems and how to leverage it
- An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems (IEEE Transactions on Industrial Informatics)
Their papers
- Exploring Artist Gender Bias in Music Recommendation (2020) — 46 citations