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Computer Science

D-Index
50
Citations
10683
World Ranking
5595
National Ranking
2554

Overview

Fernando Diaz is affiliated with Microsoft in the United States and focuses primarily on research within the field of computer science. Their work explores diverse subfields, including information systems, artificial intelligence, sociology and political science, safety research, and management science and operations research.

The main topics of Fernando Diaz's research encompass:

  • Recommender Systems and Techniques
  • Information Retrieval and Search Behavior
  • Ethics and Social Impacts of AI
  • Topic Modeling
  • Expert Finding and Q&A Systems
  • Mobile Crowdsensing and Crowdsourcing
  • Privacy, Security, and Data Protection

Fernando Diaz has published extensively in various academic venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • ACM Transactions on Recommender Systems
  • Proceedings of the ACM on Human-Computer Interaction
  • Journal of Hepatology

Some of their recent papers include:

  • "Fairness in Information Access Systems" (2022), published in Foundations and Trends® in Information Retrieval
  • "A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation" (2022), published in ACM Transactions on Information Systems
  • "Joint Multisided Exposure Fairness for Recommendation" (2022), published in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "Retrieval-Enhanced Machine Learning" (2022), published in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "When Are Search Completion Suggestions Problematic?" (2020), published in Proceedings of the ACM on Human-Computer Interaction

Frequent collaborators in their research include Bhaskar Mitra, Asia J. Biega, Michael D. Ekstrand, Chen Ma, and Haolun Wu. Collaboration with these coauthors spans multiple projects and publications, reflecting interdisciplinary and multi-perspective approaches.

Best Publications

  • Processing Social Media Messages in Mass Emergency: A Survey

    Muhammad Imran;Carlos Castillo;Fernando Diaz;Sarah Vieweg

  • Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries.

    Alexandra Olteanu;Carlos Castillo;Fernando Diaz;Emre Kıcıman

  • Extracting Information Nuggets from Disaster- Related Messages in Social Media

    Muhammad Imran;Shady Elbassuoni;Carlos Castillo;Fernando Diaz

  • Learning to Match using Local and Distributed Representations of Text for Web Search

    Bhaskar Mitra;Fernando Diaz;Nick Craswell

  • CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises

    Alexandra Olteanu;Carlos Castillo;Fernando Diaz;Sarah Vieweg

  • Practical extraction of disaster-relevant information from social media

    Muhammad Imran;Shady Elbassuoni;Carlos Castillo;Fernando Diaz

  • Query Expansion with Locally-Trained Word Embeddings

    Fernando Diaz;Bhaskar Mitra;Nick Craswell

  • UMass at TREC 2004: Novelty and HARD

    Nasreen Abdul-Jaleel;James Allan;W. Bruce Croft;Fernando Diaz

  • Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems

    Rishabh Mehrotra;James McInerney;Hugues Bouchard;Mounia Lalmas

  • Temporal profiles of queries

    Rosie Jones;Fernando Diaz

  • Time is of the essence: improving recency ranking using Twitter data

    Anlei Dong;Ruiqiang Zhang;Pranam Kolari;Jing Bai

  • Improving the estimation of relevance models using large external corpora

    Fernando Diaz;Donald Metzler

  • Sources of evidence for vertical selection

    Jaime Arguello;Fernando Diaz;Jamie Callan;Jean-Francois Crespo

  • Research Frontiers in Information Retrieval: Report from the Third Strategic Workshop on Information Retrieval in Lorne (SWIRL 2018)

    J. Shane Culpepper;Fernando Diaz;Mark D. Smucker

  • Towards recency ranking in web search

    Anlei Dong;Yi Chang;Zhaohui Zheng;Gilad Mishne

  • The Economic and Cognitive Costs of Annoying Display Advertisements

    Daniel G. Goldstein;Siddharth Suri;R. Preston McAfee;Matthew Ekstrand-Abueg

  • Integration of news content into web results

    Fernando Diaz

  • Evaluating Stochastic Rankings with Expected Exposure

    Fernando Diaz;Bhaskar Mitra;Michael D. Ekstrand;Asia J. Biega

  • Proceedings of the 7th ACM international conference on Web search and data mining

    Ben Carterette;Fernando Diaz;Carlos Castillo;Donald Metzler

  • Emergency-Relief Coordination on Social Media: Automatically Matching Resource Requests and Offers

    Hemant Purohit;Carlos Castillo;Fernando Diaz;Amit P. Sheth

  • TREC 2014 Web Track Overview

    Kevyn Collins-Thompson;Craig Macdonald;Paul N. Bennett;Fernando Diaz

Frequent Co-Authors

Carlos Castillo
Carlos Castillo Pompeu Fabra University
Nick Craswell
Nick Craswell Microsoft (United States)
James Allan
James Allan University of Massachusetts Amherst
Donald Metzler
Donald Metzler Google (United States)
Hanna Wallach
Hanna Wallach Microsoft (United States)
Ben Carterette
Ben Carterette Spotify, US
Paul N. Bennett
Paul N. Bennett Microsoft (United States)
Yi Chang
Yi Chang Jilin University
Elad Yom-Tov
Elad Yom-Tov Microsoft (United States)

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