David E. Losada

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #33,191 of 35,345 by trust here, #32,362 by citations
• Information Systems — 6 citations into it
• Information Retrieval & Search — 5 citations into it; #957 of 1,022 by trust here, #966 by citations

Whom David E. Losada trusts overall

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

1. Ellen M. Voorhees
2. Richard S. Sutton
3. J. Aslam
4. Andrew Barto
5. Mark H. Montague
6. Justin Zobel
7. Yisong Yue
8. Mark Sanderson
9. Alistair Moffat

Who trusts David E. Losada overall

1. James Allan
2. Ellen M. Voorhees
3. Donna K. Harman

Papers from David E. Losada's perspective

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

1. Reinforcement Learning: An Introduction
2. Some aspects of the sequential design of experiments
3. Information retrieval system evaluation: effort, sensitivity, and reliability
4. Finite-time Analysis of the Multiarmed Bandit Problem
5. The Philosophy of Information Retrieval Evaluation
6. Bias and the limits of pooling for large collections
7. Rank-biased precision for measurement of retrieval effectiveness
8. Learning diverse rankings with multi-armed bandits
9. Interactively optimizing information retrieval systems as a dueling bandits problem
10. Models for metasearch (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)

Their papers

• Feeling lucky?: multi-armed bandits for ordering judgements in pooling-based evaluation (2016) — 76 citations