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An elaborated model of social search

Information processing & management, 2010-11, Vol.46 (6), p.656-678

2010

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Information Seeking Can Be Social

Computer (Long Beach, Calif.), 2009-03, Vol.42 (3), p.42-46

Chi, E.H.

2009

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The Social Web: Research and Opportunities

Computer (Long Beach, Calif.), 2008-09, Vol.41 (9), p.88-91

Chi, E.H.

2008

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Latent Cross: Making Use of Context in Recurrent Recommender Systems

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018, p.46-54

2018

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Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019, p.453-459

2019

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Advancing the Design of Technology-Mediated Social Participation Systems

Computer (Long Beach, Calif.), 2010-11, Vol.43 (11), p.29-35

2010

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The Case for Learned Index Structures

Proceedings of the 2018 International Conference on Management of Data, 2018, p.489-504

2018

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Fairness in Recommendation Ranking through Pairwise Comparisons

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019, p.2212-2220

2019

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Off-policy Learning in Two-stage Recommender Systems

Proceedings of The Web Conference 2020, 2020, p.463-473

2020

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Towards Neural Mixture Recommender for Long Range Dependent User Sequences

The World Wide Web Conference, 2019, p.1782-1793

2019

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The predictive skill of convolutional neural networks models for disease forecasting

PloS one, 2021-07, Vol.16 (7), p.e0254319

2021

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Short and tweet: experiments on recommending content from information streams

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2010, p.1185-1194

2010

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Improving Web usability through visualization

IEEE internet computing, 2002-03, Vol.6 (2), p.64-71

Chi, E.H.

2002

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Stopping criteria for ending autonomous, single detector radiological source searches

PloS one, 2021-06, Vol.16 (6), p.e0253211-e0253211

2021

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And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015, p.628-638

2015

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Improving User Topic Interest Profiles by Behavior Factorization

Proceedings of the 24th International Conference on World Wide Web, 2015, p.1406-1416

2015

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From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation

Proceedings of the 13th International Conference on Web Search and Data Mining, 2020, p.1-2

Chi, Ed H.

2020

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Talking in circles: selective sharing in google

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2012, p.1065-1074

2012

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ScentTrails: Integrating browsing and searching on the Web

ACM transactions on computer-human interaction, 2003-09, Vol.10 (3), p.177-197

2003

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What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel

2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023, p.365-376

2023

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He says, she says: conflict and coordination in Wikipedia

Conference on Human Factors in Computing Systems: Proceedings of the SIGCHI conference on Human factors in computing systems; 28 Apr.-03 May 2007, 2007, p.453-462

2007

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Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities

Proceedings of the Web Conference 2021, 2021, p.3872-3883

2021

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DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

Proceedings of the Web Conference 2021, 2021, p.1785-1797

2021

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Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018, p.1930-1939

2018

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Efficient Data Representation Learning in Google-scale Systems

Proceedings of the 17th ACM Conference on Recommender Systems, 2023, p.267-271

2023

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An elaborated model of social search

Information Seeking Can Be Social

The Social Web: Research and Opportunities

Latent Cross: Making Use of Context in Recurrent Recommender Systems

Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements

Advancing the Design of Technology-Mediated Social Participation Systems

The Case for Learned Index Structures

Fairness in Recommendation Ranking through Pairwise Comparisons

Off-policy Learning in Two-stage Recommender Systems

Towards Neural Mixture Recommender for Long Range Dependent User Sequences

The predictive skill of convolutional neural networks models for disease forecasting

Short and tweet: experiments on recommending content from information streams

Improving Web usability through visualization

Stopping criteria for ending autonomous, single detector radiological source searches

And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions

Improving User Topic Interest Profiles by Behavior Factorization

From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation

Talking in circles: selective sharing in google

ScentTrails: Integrating browsing and searching on the Web

What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel

He says, she says: conflict and coordination in Wikipedia

Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Efficient Data Representation Learning in Google-scale Systems

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