Fernando Diaz

Associate Professor
Language Technologies Institute, Carnegie Mellon University

Research Scientist
Google Research

diazf [at] acm [dot] org

                    

Introduction

My research focuses on the design and evaluation of information access systems, including information retrieval (e.g. web search) and recommender systems. This has included developing evaluation metrics, designing algorithms, and understanding the broader, societal implications of these technologies.

My recent projects include,

  • Evaluation
    • preference-based evaluation: improving the sensitivity of evaluation metrics by measuring pairwise preferences between systems.
    • fairness in ranking: designing evaluation metrics for ranked lists of items capturing different notions of fairness.
    • artificial intelligence and culture: understanding and measuring the impact of artificial intelligence on culture industries such as music, film, and literature.
  • Algorithm Design
    • retrieval-enhanced machine learning: designing algorithms to support machine learning systems.
    • tip of the tongue retrieval: designing algorithms to help people re-find previously consumed content.

My previous projects have included text summarization in crisis informatics contexts, inferring user intent from mouse cursor behavior, aggregated search, time-sensitive ranking, and core retrieval algorithms.

Detailed biographical information can be found on my curriculum vitae.

Publications

Organization

Conferences

ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), General Co-Chair

ACM Conference on Fairness, Accountability, and Transparency (FAccT 2019), Program Co-Chair

ACM International Conference on Web Search and Data Mining (WSDM 2014), General Co-Chair

Workshops

NeurIPS 2022 Workshop on Cultures in AI/AI in Culture
2022

NeurIPS 2020 Workshop on Algorithmic Fairness through the Lens of Causality and Interpretability
2020

CIFAR Workshop on AI, Recommendation, and the Curation of Culture
2019

Workshop on Fairness, Accountability, and Transparency on the World Wide Web (FATWEB)
2017

WSDM Workshop on the Ethics of Online Experimentation
2016

SIGIR Workshop on Reproducibility, Inexplicability, and Generalizability of Results (RIGOR)
2015

Social Web for Disaster Management (SWDM)
2015, 2016

SIGIR Workshop on Time-Aware Information Access
2012, 2013, 2014

ACM Workshop on Social Web Search and Mining: Analysis of User Generated Content Under Crisis
2011

TREC

Tip of The Tongue Retrieval
2023

Fair Ranking
2019, 2020

Real-Time Summarization
2016

Temporal Summarization
2013, 2014, 2015

Web
2013, 2014

Teaching

Web Search Engines
Department of Computer Science
Courant Institute of Mathematical Sciences
NYU
Spring 2013, Fall 2014, Fall 2016

Experimental Design for Information Systems
University of Trento
Summer 2012

Advanced Information Retrieval and Databases
Department of Computer Science
School of Engineering
NYU
Spring 2011

Code

pref_eval
Implementation of mulitiple preference-based evaluation for ranked lists and binary relevance.

notation
maintain notation across latex documents. also can generate a notation table.

ranking-meta-evaluation-data
Ranking metric meta-evaluation data across several retrieval and recommendation domains.

expeval
Code to compute expected exposure metrics.

indri
A clone of indri-5.12 with minor customizations.

trec-data
scripts to download and standardize trec query and document sets.

latex-dependencies.py
generate .tex dependencies for a root latex file.

latex-merge
merge collection of latex source into a single latex file.

kstem
stand alone Krovetz stemmer.

FAQ

Q: Why 841.io?
A: Because it is short.