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ORCIDFernando Diaz 0001
Person information
- affiliation: Carnegie Mellon University, Pittsburgh, USA
- affiliation: Google, Pittsburgh, USA
- affiliation (former): Microsoft Research, New York, USA
- affiliation (former): Yahoo Research, New York, USA
- affiliation (former): University of Massachusetts Amherst, Center for Intelligent Information Retrieval
Other persons with the same name
- Fernando Diaz — disambiguation page
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2020 – today
- 2024
[j24]Michael D. Ekstrand
, Ben Carterette, Fernando Diaz:
Distributionally-Informed Recommender System Evaluation. Trans. Recomm. Syst. 2(1): 6:1-6:27 (2024)- [j23]Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born:
Measuring Commonality in Recommendation of Cultural Content to Strengthen Cultural Citizenship. Trans. Recomm. Syst. 2(1): 10:1-10:32 (2024) - [c93]Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi:
Fairness Through Domain Awareness: Mitigating Popularity Bias for Music Discovery. ECIR (4) 2024: 351-368 - [c92]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: 1514-1524 - 2023
- [j22]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): 1-30 (2023) - [j21]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): 47:1-47:29 (2023) - [c91]Michael Bendersky, Danqi Chen, Fernando Diaz, Hamed Zamani:
SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023). SIGIR 2023: 3468-3471 - [c90]Jaime Arguello, Samarth Bhargav, Fernando Diaz, Evangelos Kanoulas, Bhaskar Mitra:
Overview of the TREC 2023 Tip-of-the-Tongue Track. TREC 2023 - [c89]Charles L. A. Clarke, Fernando Diaz, Negar Arabzadeh:
Preference-Based Offline Evaluation. WSDM 2023: 1248-1251 - [i40]Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born:
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship. CoRR abs/2302.11360 (2023) - [i39]Fernando Diaz, Bhaskar Mitra:
Recall as a Measure of Ranking Robustness. CoRR abs/2302.11370 (2023) - [i38]Ali Vardasbi, Maarten de Rijke, Fernando Diaz, Mostafa Dehghani:
Group Membership Bias. CoRR abs/2308.02887 (2023) - [i37]Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi:
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery. CoRR abs/2308.14601 (2023) - [i36]Michael D. Ekstrand, Ben Carterette, Fernando Diaz:
Distributionally-Informed Recommender System Evaluation. CoRR abs/2309.05892 (2023) - [i35]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 abs/2310.20091 (2023) - 2022
- [j20]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) - [j19]Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz:
Fairness in Information Access Systems. Found. Trends Inf. Retr. 16(1-2): 1-177 (2022) - [c88]Divya Shanmugam, Fernando Diaz, Samira Shabanian, Michèle Finck, Asia Biega:
Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization. FAccT 2022: 839-849 - [c87]Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born:
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship. RecSys 2022: 567-572 - [c86]Fernando Diaz, Andres Ferraro:
Offline Retrieval Evaluation Without Evaluation Metrics. SIGIR 2022: 599-609 - [c85]Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. SIGIR 2022: 703-714 - [c84]Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin:
On Natural Language User Profiles for Transparent and Scrutable Recommendation. SIGIR 2022: 2863-2874 - [c83]Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky:
Retrieval-Enhanced Machine Learning. SIGIR 2022: 2875-2886 - [c82]Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega:
Exposing Query Identification for Search Transparency. WWW 2022: 3662-3672 - [r1]Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz:
Fairness in Recommender Systems. Recommender Systems Handbook 2022: 679-707 - [i34]Fernando Diaz, Andres Ferraro:
Offline Retrieval Evaluation Without Evaluation Metrics. CoRR abs/2204.11400 (2022) - [i33]Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. CoRR abs/2205.00048 (2022) - [i32]Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky:
Retrieval-Enhanced Machine Learning. CoRR abs/2205.01230 (2022) - [i31]Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin:
On Natural Language User Profiles for Transparent and Scrutable Recommendation. CoRR abs/2205.09403 (2022) - [i30]Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born:
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship. CoRR abs/2208.01696 (2022) - [i29]Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi:
Analyzing the Effect of Sampling in GNNs on Individual Fairness. CoRR abs/2209.03904 (2022) - [i28]Kai Hui, Tao Chen, Zhen Qin, Honglei Zhuang, Fernando Diaz, Mike Bendersky, Don Metzler:
Retrieval Augmentation for T5 Re-ranker using External Sources. CoRR abs/2210.05145 (2022) - [i27]Esther Rolf, Ben Packer, Alex Beutel, Fernando Diaz:
Striving for data-model efficiency: Identifying data externalities on group performance. CoRR abs/2211.06348 (2022) - [i26]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 abs/2212.08038 (2022) - [i25]Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu:
A Survey of Diversification Techniques in Search and Recommendation. CoRR abs/2212.14464 (2022) - 2021
- [j18]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): 8:1-8:14 (2021) - [c81]Ronald E. Robertson, Alexandra Olteanu, Fernando Diaz, Milad Shokouhi, Peter Bailey:
"I Can't Reply with That": Characterizing Problematic Email Reply Suggestions. CHI 2021: 724:1-724:18 - [c80]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: 5-14 - [c79]Brian St. Thomas, Praveen Chandar, Christine Hosey, Fernando Diaz:
Mixed Method Development of Evaluation Metrics. KDD 2021: 4070-4071 - [c78]Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, Beth Coleman:
Artsheets for Art Datasets. NeurIPS Datasets and Benchmarks 2021 - [c77]Fernando Diaz:
On Evaluating Session-Based Recommendation with Implicit Feedback. Perspectives@RecSys 2021 - [c76]Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz:
Estimation of Fair Ranking Metrics with Incomplete Judgments. WWW 2021: 1065-1075 - [e2]Fernando Diaz, Chirag Shah, Torsten Suel, Pablo Castells, Rosie Jones, Tetsuya Sakai:
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021. ACM 2021, ISBN 978-1-4503-8037-9 [contents] - [i24]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 abs/2101.07124 (2021) - [i23]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 abs/2105.02951 (2021) - [i22]Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz:
Fairness and Discrimination in Information Access Systems. CoRR abs/2105.05779 (2021) - [i21]Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler, Oriol Vinyals:
The Benchmark Lottery. CoRR abs/2107.07002 (2021) - [i20]Divya Shanmugam, Samira Shabanian, Fernando Diaz, Michèle Finck, Asia Biega:
Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice. CoRR abs/2107.08096 (2021) - [i19]Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sergey Feldman, Sebastian Kohlmeier:
Overview of the TREC 2020 Fair Ranking Track. CoRR abs/2108.05135 (2021) - [i18]Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz:
Estimation of Fair Ranking Metrics with Incomplete Judgments. CoRR abs/2108.05152 (2021) - [i17]Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega:
Exposing Query Identification for Search Transparency. CoRR abs/2110.07701 (2021) - 2020
- [j17]Alexandra Olteanu, Fernando Diaz, Gabriella Kazai:
When Are Search Completion Suggestions Problematic? Proc. ACM Hum. Comput. Interact. 4(CSCW2): 171:1-171:25 (2020) - [c75]Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette:
Evaluating Stochastic Rankings with Expected Exposure. CIKM 2020: 275-284 - [c74]Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck:
Operationalizing the Legal Principle of Data Minimization for Personalization. SIGIR 2020: 399-408 - [c73]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: 1181-1190 - [i16]Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sebastian Kohlmeier:
Overview of the TREC 2019 Fair Ranking Track. CoRR abs/2003.11650 (2020) - [i15]Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette:
Evaluating Stochastic Rankings with Expected Exposure. CoRR abs/2004.13157 (2020) - [i14]Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck:
Operationalizing the Legal Principle of Data Minimization for Personalization. CoRR abs/2005.13718 (2020) - [i13]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 abs/2006.00166 (2020) - [i12]Timothy J. Hazen, Alexandra Olteanu, Gabriella Kazai, Fernando Diaz, Michael Golebiewski:
On the Social and Technical Challenges of Web Search Autosuggestion Moderation. CoRR abs/2007.05039 (2020)
2010 – 2019
- 2019
- [j16]Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman:
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. Frontiers Big Data 2: 13 (2019) - [c72]Michael D. Ekstrand, Robin Burke, Fernando Diaz:
Fairness and discrimination in recommendation and retrieval. RecSys 2019: 576-577 - [c71]Michael D. Ekstrand, Robin Burke, Fernando Diaz:
Fairness and Discrimination in Retrieval and Recommendation. SIGIR 2019: 1403-1404 - [i11]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 abs/1907.03693 (2019) - 2018
- [j15]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): 34-90 (2018) - [c70]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: 2243-2251 - [c69]Jean Garcia-Gathright, Christine Hosey, Brian St. Thomas, Ben Carterette, Fernando Diaz:
Mixed methods for evaluating user satisfaction. RecSys 2018: 541-542 - [c68]Jean Garcia-Gathright, Brian St. Thomas, Christine Hosey, Zahra Nazari, Fernando Diaz:
Understanding and Evaluating User Satisfaction with Music Discovery. SIGIR 2018: 55-64 - [c67]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: 1439-1440 - [c66]Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg:
Processing Social Media Messages in Mass Emergency: Survey Summary. WWW (Companion Volume) 2018: 507-511 - [i10]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 abs/1811.01778 (2018) - 2017
- [j14]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): 1-25 (2017) - [j13]Ryen W. White, Fernando Diaz, Qi Guo:
Search Result Prefetching on Desktop and Mobile. ACM Trans. Inf. Syst. 35(3): 23:1-23:34 (2017) - [c65]Jaime Arguello, Sandeep Avula, Fernando Diaz:
Using Query Performance Predictors to Reduce Spoken Queries. ECIR 2017: 27-39 - [c64]Bhaskar Mitra, Fernando Diaz, Nick Craswell:
Luandri: A Clean Lua Interface to the Indri Search Engine. SIGIR 2017: 1221-1223 - [c63]Fernando Diaz:
Spotify: Music Access At Scale. SIGIR 2017: 1349 - [c62]Omar Alonso, Serge-Eric Tremblay, Fernando Diaz:
Automatic Generation of Event Timelines from Social Data. WebSci 2017: 207-211 - [c61]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: 626-633 - [c60]Bhaskar Mitra, Fernando Diaz, Nick Craswell:
Learning to Match using Local and Distributed Representations of Text for Web Search. WWW 2017: 1291-1299 - [i9]Bhaskar Mitra, Fernando Diaz, Nick Craswell:
Luandri: a Clean Lua Interface to the Indri Search Engine. CoRR abs/1702.05042 (2017) - [i8]Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma, Hanna M. Wallach, Emine Yilmaz:
Auditing Search Engines for Differential Satisfaction Across Demographics. CoRR abs/1705.10689 (2017) - 2016
- [j12]Fernando Diaz:
Worst Practices for Designing Production Information Access Systems. SIGIR Forum 50(1): 2-11 (2016) - [c59]Fernando Diaz, Bhaskar Mitra, Nick Craswell:
Query Expansion with Locally-Trained Word Embeddings. ACL (1) 2016 - [c58]Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, Fernando Diaz:
A Study of Realtime Summarization Metrics. CIKM 2016: 2125-2130 - [c57]Carlos Castillo, Fernando Diaz, Yu-Ru Lin, Jie Yin:
The Fourth International Workshop on Social Web for Disaster Management (SWDM 2016). CIKM 2016: 2503-2504 - [c56]Jaime Arguello, Sandeep Avula, Fernando Diaz:
Using Query Performance Predictors to Improve Spoken Queries. ECIR 2016: 309-321 - [c55]Fernando Diaz:
Pseudo-Query Reformulation. ECIR 2016: 521-532 - [c54]Fernando Diaz:
Learning to Rank with Labeled Features. ICTIR 2016: 41-44 - [c53]Chris Kedzie, Fernando Diaz, Kathleen R. McKeown:
Real-Time Web Scale Event Summarization Using Sequential Decision Making. IJCAI 2016: 3754-3760 - [c52]Fernando Diaz, Qi Guo, Ryen W. White:
Search Result Prefetching Using Cursor Movement. SIGIR 2016: 609-618 - [c51]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: 41-57 - [c50]Jimmy Lin, Adam Roegiest, Luchen Tan, Richard McCreadie, Ellen M. Voorhees, Fernando Diaz:
Overview of the TREC 2016 Real-Time Summarization Track. TREC 2016 - [c49]Fernando Diaz, Solon Barocas:
WSDM 2016 Workshop on the Ethics of Online Experimentation. WSDM 2016: 695-696 - [i7]David Abel, Alekh Agarwal, Fernando Diaz, Akshay Krishnamurthy, Robert E. Schapire:
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains. CoRR abs/1603.04119 (2016) - [i6]Chris Kedzie, Fernando Diaz, Kathleen R. McKeown:
Real-Time Web Scale Event Summarization Using Sequential Decision Making. CoRR abs/1605.03664 (2016) - [i5]Fernando Diaz, Bhaskar Mitra, Nick Craswell:
Query Expansion with Locally-Trained Word Embeddings. CoRR abs/1605.07891 (2016) - [i4]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 abs/1609.02075 (2016) - [i3]Bhaskar Mitra, Fernando Diaz, Nick Craswell:
Learning to Match Using Local and Distributed Representations of Text for Web Search. CoRR abs/1610.08136 (2016) - 2015
- [j11]Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg:
Processing Social Media Messages in Mass Emergency: A Survey. ACM Comput. Surv. 47(4): 67:1-67:38 (2015) - [j10]Fernando Diaz, Diane Kelly:
SIGIR 2015 Workshop Program Overview. SIGIR Forum 49(2): 80-82 (2015) - [j9]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): 107-116 (2015) - [c48]Chris Kedzie, Kathleen R. McKeown, Fernando Diaz:
Predicting Salient Updates for Disaster Summarization. ACL (1) 2015: 1608-1617 - [c47]Fernando Diaz:
Condensed List Relevance Models. ICTIR 2015: 313-316 - [c46]Jaime Arguello, Fernando Diaz, Jimmy Lin, Andrew Trotman:
SIGIR 2015 Workshop on Reproducibility, Inexplicability, and Generalizability of Results (RIGOR). SIGIR 2015: 1147-1148 - [c45]Javed A. Aslam, Fernando Diaz, Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, Tetsuya Sakai:
TREC 2015 Temporal Summarization Track Overview. TREC 2015 - [i2]Fernando Diaz:
Pseudo-Query Reformulation. CoRR abs/1507.03928 (2015) - 2014
- [j8]Hemant Purohit, Carlos Castillo, Fernando Diaz, Amit P. Sheth, Patrick Meier:
Emergency-relief coordination on social media: Automatically matching resource requests and offers. First Monday 19(1) (2014) - [j7]Fernando Diaz:
Experimentation Standards for Crisis Informatics. SIGIR Forum 48(2): 22-30 (2014) - [c44]Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Sarah Vieweg:
CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises. ICWSM 2014 - [c43]Michiko Yasukawa, Fernando Diaz, Gregory Druck, Nobu Tsukada:
Overview of the NTCIR-11 Cooking Recipe Search Task. NTCIR 2014 - [c42]Pavel Metrikov, Fernando Diaz, Sébastien Lahaie, Justin Rao:
Whole page optimization: how page elements interact with the position auction. EC 2014: 583-600 - [c41]Milad Shokouhi, Rosie Jones, Umut Ozertem, Karthik Raghunathan, Fernando Diaz:
Mobile query reformulations. SIGIR 2014: 1011-1014 - [c40]Fernando Diaz, Claudia Hauff, Vanessa Murdock, Maarten de Rijke, Milad Shokouhi:
SIGIR 2014 workshop on temporal, social and spatially-aware information access (#TAIA2014). SIGIR 2014: 1298 - [c39]Javed A. Aslam, Matthew Ekstrand-Abueg, Virgil Pavlu, Fernando Diaz, Richard McCreadie, Tetsuya Sakai:
TREC 2014 Temporal Summarization Track Overview. TREC 2014 - [c38]Kevyn Collins-Thompson, Craig Macdonald, Paul N. Bennett, Fernando Diaz, Ellen M. Voorhees:
TREC 2014 Web Track Overview. TREC 2014 - [c37]Peter B. Golbus, Imed Zitouni, Jin Young Kim, Ahmed Hassan Awadallah, Fernando Diaz:
Contextual and dimensional relevance judgments for reusable SERP-level evaluation. WWW 2014: 131-142 - [e1]