Fernando Diaz

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 93

Top Venues

Publications

Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi
Fairness Through Domain Awareness: Mitigating Popularity Bias for Music Discovery. ECIR (4) (2024)
Michael D. Ekstrand, Ben Carterette, Fernando Diaz
Distributionally-Informed Recommender System Evaluation. Trans. Recomm. Syst. 2 (1) (2024)
Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani
The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking. SIGIR (2024)
Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born
Measuring Commonality in Recommendation of Cultural Content to Strengthen Cultural Citizenship. Trans. Recomm. Syst. 2 (1) (2024)
Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. ACM Trans. Inf. Syst. 41 (2) (2023)
Fernando Diaz, Bhaskar Mitra
Recall as a Measure of Ranking Robustness. CoRR (2023)
Michael D. Ekstrand, Ben Carterette, Fernando Diaz
Distributionally-Informed Recommender System Evaluation. CoRR (2023)
Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani
Group Membership Bias. CoRR (2023)
Michael Bendersky, Danqi Chen, Fernando Diaz, Hamed Zamani
SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023). SIGIR (2023)
Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship. CoRR (2023)
Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan
Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval. CoRR (2023)
Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery. CoRR (2023)
Lauren Wilcox, Robin Brewer, Fernando Diaz
AI Consent Futures: A Case Study on Voice Data Collection with Clinicians. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Charles L. A. Clarke, Fernando Diaz, Negar Arabzadeh
Preference-Based Offline Evaluation. WSDM (2023)
Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz
Fairness in Information Access Systems. Found. Trends Inf. Retr. 16 (1-2) (2022)
Divya Shanmugam, Fernando Diaz, Samira Shabanian, Michele Finck, Asia Biega
Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization. FAccT (2022)
Fernando Diaz, Andres Ferraro
Offline Retrieval Evaluation Without Evaluation Metrics. SIGIR (2022)
Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu
Joint Multisided Exposure Fairness for Recommendation. SIGIR (2022)
Fernando Diaz, Andres Ferraro
Offline Retrieval Evaluation Without Evaluation Metrics. CoRR (2022)
Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu
Joint Multisided Exposure Fairness for Recommendation. CoRR (2022)
Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin
On Natural Language User Profiles for Transparent and Scrutable Recommendation. CoRR (2022)
Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship. RecSys (2022)
Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega
Exposing Query Identification for Search Transparency. WWW (2022)
Esther Rolf, Ben Packer, Alex Beutel, Fernando Diaz
Striving for data-model efficiency: Identifying data externalities on group performance. CoRR (2022)
Christian Detweiler, Beth Coleman, Fernando Diaz, Lieke Dom, Chris Donahue, Jesse H. Engel, Cheng-Zhi Anna Huang, Larry James, Ethan Manilow, Amanda McCroskery, Kyle Pedersen, Pamela Peter-Agbia, Negar Rostamzadeh, Robert Thomas, Marco Zamarato, Ben Zevenbergen
Redefining Relationships in Music. CoRR (2022)
Timothy J. Hazen, Alexandra Olteanu, Gabriella Kazai, Fernando Diaz, Michael Golebiewski
On the social and technical challenges of Web search autosuggestion moderation. First Monday 27 (2) (2022)
Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship. CoRR (2022)
Kai Hui, Tao Chen, Zhen Qin, Honglei Zhuang, Fernando Diaz, Mike Bendersky, Don Metzler
Retrieval Augmentation for T5 Re-ranker using External Sources. CoRR (2022)
Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky
Retrieval-Enhanced Machine Learning. CoRR (2022)
Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin
On Natural Language User Profiles for Transparent and Scrutable Recommendation. SIGIR (2022)
Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky
Retrieval-Enhanced Machine Learning. SIGIR (2022)
Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu
A Survey of Diversification Techniques in Search and Recommendation. CoRR (2022)
Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sergey Feldman, Sebastian Kohlmeier
Overview of the TREC 2020 Fair Ranking Track. CoRR (2021)
Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, Fernando Diaz
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. CHIIR (2021)
Brian St. Thomas, Praveen Chandar, Christine Hosey, Fernando Diaz
Mixed Method Development of Evaluation Metrics. KDD (2021)
Ronald E. Robertson, Alexandra Olteanu, Fernando Diaz, Milad Shokouhi, Peter Bailey
"I Can't Reply with That": Characterizing Problematic Email Reply Suggestions. CHI (2021)
Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, Fernando Diaz
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. CoRR (2021)
Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler, Oriol Vinyals
The Benchmark Lottery. CoRR (2021)
Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz
Estimation of Fair Ranking Metrics with Incomplete Judgments. WWW (2021)
Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega
Exposing Query Identification for Search Transparency. CoRR (2021)
Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz
Fairness and Discrimination in Information Access Systems. CoRR (2021)
Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation. CoRR (2021)
Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz
Estimation of Fair Ranking Metrics with Incomplete Judgments. CoRR (2021)
Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, Beth Coleman
Artsheets for Art Datasets. NeurIPS Datasets and Benchmarks (2021)
Chirag Shah, Torsten Suel, Fernando Diaz, Bhaskar Mitra, Bárbara Poblete, Hussein Suleman, Suzan Verberne
Report on the 44th international ACM SIGIR conference on research and development in information retrieval (SIGIR 2021). SIGIR Forum 55 (2) (2021)
Divya Shanmugam, Samira Shabanian, Fernando Diaz, Michèle Finck, Asia Biega
Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice. CoRR (2021)
Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette
Evaluating Stochastic Rankings with Expected Exposure. CIKM (2020)
Alexandra Olteanu, Fernando Diaz, Gabriella Kazai
When Are Search Completion Suggestions Problematic? Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Timothy J. Hazen, Alexandra Olteanu, Gabriella Kazai, Fernando Diaz, Michael Golebiewski
On the Social and Technical Challenges of Web Search Autosuggestion Moderation. CoRR (2020)
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
Operationalizing the Legal Principle of Data Minimization for Personalization. SIGIR (2020)
Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sebastian Kohlmeier
Overview of the TREC 2019 Fair Ranking Track. CoRR (2020)
Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette
Evaluating Stochastic Rankings with Expected Exposure. CoRR (2020)
Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais
Analyzing and Learning from User Interactions for Search Clarification. CoRR (2020)
Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais
Analyzing and Learning from User Interactions for Search Clarification. SIGIR (2020)
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
Operationalizing the Legal Principle of Data Minimization for Personalization. CoRR (2020)
Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks. CoRR (2019)
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. Frontiers Big Data 2 (2019)
Michael D. Ekstrand, Robin Burke, Fernando Diaz
Fairness and Discrimination in Retrieval and Recommendation. SIGIR (2019)
Michael D. Ekstrand, Robin Burke, Fernando Diaz
Fairness and discrimination in recommendation and retrieval. RecSys (2019)
Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg
Processing Social Media Messages in Mass Emergency: Survey Summary. WWW (Companion Volume) (2018)
Paul Trichelair, Ali Emami, Jackie Chi Kit Cheung, Adam Trischler, Kaheer Suleman, Fernando Diaz
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding. CoRR (2018)
Rishabh Mehrotra, James McInerney, Hugues Bouchard, Mounia Lalmas, Fernando Diaz
Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems. CIKM (2018)
Hamed Zamani, Mostafa Dehghani, Fernando Diaz, Hang Li, Nick Craswell
SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval. SIGIR (2018)
Jean Garcia-Gathright, Brian St. Thomas, Christine Hosey, Zahra Nazari, Fernando Diaz
Understanding and Evaluating User Satisfaction with Music Discovery. SIGIR (2018)
J. Shane Culpepper, Fernando Diaz, Mark D. Smucker
Research Frontiers in Information Retrieval: Report from the Third Strategic Workshop on Information Retrieval in Lorne (SWIRL 2018). SIGIR Forum 52 (1) (2018)
Jean Garcia-Gathright, Christine Hosey, Brian St. Thomas, Ben Carterette, Fernando Diaz
Mixed methods for evaluating user satisfaction. RecSys (2018)
Jaime Arguello, Sandeep Avula, Fernando Diaz
Using Query Performance Predictors to Reduce Spoken Queries. ECIR (2017)
Ryen W. White, Fernando Diaz, Qi Guo
Search Result Prefetching on Desktop and Mobile. ACM Trans. Inf. Syst. 35 (3) (2017)
Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz
Auditing Search Engines for Differential Satisfaction Across Demographics. WWW (Companion Volume) (2017)
James Allan, Nicholas J. Belkin, Paul N. Bennett, Jamie Callan, Charles L. A. Clarke, Fernando Diaz, Susan T. Dumais, Nicola Ferro, Donna Harman, Djoerd Hiemstra, Ian Ruthven, Tetsuya Sakai, Mark D. Smucker, Justin Zobel
Overview of Special Issue. SIGIR Forum 51 (2) (2017)
Bhaskar Mitra, Fernando Diaz, Nick Craswell
Luandri: A Clean Lua Interface to the Indri Search Engine. SIGIR (2017)
Bhaskar Mitra, Fernando Diaz, Nick Craswell
Learning to Match using Local and Distributed Representations of Text for Web Search. WWW (2017)
Fernando Diaz
Spotify: Music Access At Scale. SIGIR (2017)
Omar Alonso, Serge-Eric Tremblay, Fernando Diaz
Automatic Generation of Event Timelines from Social Data. WebSci (2017)
Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz
Auditing Search Engines for Differential Satisfaction Across Demographics. CoRR (2017)
Bhaskar Mitra, Fernando Diaz, Nick Craswell
Luandri: a Clean Lua Interface to the Indri Search Engine. CoRR (2017)
Fernando Diaz
Worst Practices for Designing Production Information Access Systems. SIGIR Forum 50 (1) (2016)
Fernando Diaz
Learning to Rank with Labeled Features. ICTIR (2016)
Chris Kedzie, Fernando Diaz, Kathleen R. McKeown
Real-Time Web Scale Event Summarization Using Sequential Decision Making. CoRR (2016)
Bhaskar Mitra, Fernando Diaz, Nick Craswell
Learning to Match Using Local and Distributed Representations of Text for Web Search. CoRR (2016)
Fernando Diaz, Bhaskar Mitra, Nick Craswell
Query Expansion with Locally-Trained Word Embeddings. ACL (1) (2016)
David Abel, Alekh Agarwal, Fernando Diaz, Akshay Krishnamurthy, Robert E. Schapire
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains. CoRR (2016)
Carlos Castillo, Fernando Diaz, Yu-Ru Lin, Jie Yin
The Fourth International Workshop on Social Web for Disaster Management (SWDM 2016). CIKM (2016)
Jimmy Lin, Adam Roegiest, Luchen Tan, Richard McCreadie, Ellen M. Voorhees, Fernando Diaz
Overview of the TREC 2016 Real-Time Summarization Track. TREC (2016)
Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein
The Social Dynamics of Language Change in Online Networks. CoRR (2016)
Fernando Diaz
Pseudo-Query Reformulation. ECIR (2016)
Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, Fernando Diaz
A Study of Realtime Summarization Metrics. CIKM (2016)
Fernando Diaz, Qi Guo, Ryen W. White
Search Result Prefetching Using Cursor Movement. SIGIR (2016)
Chris Kedzie, Fernando Diaz, Kathleen R. McKeown
Real-Time Web Scale Event Summarization Using Sequential Decision Making. IJCAI (2016)
Jaime Arguello, Sandeep Avula, Fernando Diaz
Using Query Performance Predictors to Improve Spoken Queries. ECIR (2016)
Fernando Diaz, Solon Barocas
WSDM 2016 Workshop on the Ethics of Online Experimentation. WSDM (2016)
Fernando Diaz, Bhaskar Mitra, Nick Craswell
Query Expansion with Locally-Trained Word Embeddings. CoRR (2016)
Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna M. Wallach, Fernando Diaz, Jacob Eisenstein
The Social Dynamics of Language Change in Online Networks. SocInfo (1) (2016)
Fernando Diaz, Diane Kelly
SIGIR 2015 Workshop Program Overview. SIGIR Forum 49 (2) (2015)
Fernando Diaz
Pseudo-Query Reformulation. CoRR (2015)
Jaime Arguello, Fernando Diaz, Jimmy Lin, Andrew Trotman
SIGIR 2015 Workshop on Reproducibility, Inexplicability, and Generalizability of Results (RIGOR). SIGIR (2015)
Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg
Processing Social Media Messages in Mass Emergency: A Survey. ACM Comput. Surv. 47 (4) (2015)
Fernando Diaz
Condensed List Relevance Models. ICTIR (2015)
Javed A. Aslam, Fernando Diaz, Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, Tetsuya Sakai
TREC 2015 Temporal Summarization Track Overview. TREC (2015)
Jaime Arguello, Matt Crane, Fernando Diaz, Jimmy Lin, Andrew Trotman
Report on the SIGIR 2015 Workshop on Reproducibility, Inexplicability, and Generalizability of Results (RIGOR). SIGIR Forum 49 (2) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fernando Diaz