Alessandro Checco

Information Systems · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 14 citations into it
• Artificial Intelligence — 7 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Information Retrieval & Search — 6 citations into it
• Computer Science Applications — 5 citations into it
• Social Psychology — 5 citations into it

Whom Alessandro Checco trusts overall

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

1. Peter Emerson
2. J. Aslam
3. Eddy Maddalena
4. Kalervo Järvelin
5. Yla R. Tausczik
6. Kevin Roitero
7. Gordon V. Cormack
8. Ziying Yang

Papers from Alessandro Checco's perspective

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

1. Cumulated gain-based evaluation of IR techniques
2. On Crowdsourcing Relevance Magnitudes for Information Retrieval Evaluation
3. Pairwise ranking aggregation in a crowdsourced setting (Web Search and Data Mining)
4. A new rank correlation coefficient for information retrieval (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
5. A simple and efficient sampling method for estimating AP and NDCG
6. Evaluation measures for preference judgments
7. Good Evaluation Measures based on Document Preferences
8. On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation
9. The simple scalability of documents
10. Pairwise Crowd Judgments: Preference, Absolute, and Ratio

Their papers

• Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments (2022) — 8 citations
• Investigating User Perception of Gender Bias in Image Search: The Role of Sexism (2018) — 57 citations