Ed H. Chi

Orcid: 0000-0003-3230-5338

Affiliations:
  • Google, Mountain View, CA, USA
  • Palo Alto Research Center (PARC), CA, USA
  • University of Minnesota, Computer Science Department, Minneapolis, MN, USA (PhD 1999)


According to our database1, Ed H. Chi authored at least 259 papers between 1995 and 2024.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2022, "For contributions to machine learning and data mining techniques for social computing and recommender systems ".

Timeline

Legend:

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Online presence:

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Bibliography

2024
Scaling Instruction-Finetuned Language Models.
J. Mach. Learn. Res., 2024

STAR: A Simple Training-free Approach for Recommendations using Large Language Models.
CoRR, 2024

EVOLvE: Evaluating and Optimizing LLMs For Exploration.
CoRR, 2024

Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries.
CoRR, 2024

NATURAL PLAN: Benchmarking LLMs on Natural Language Planning.
CoRR, 2024

LLMs for User Interest Exploration: A Hybrid Approach.
CoRR, 2024

Diversifying by Intent in Recommender Systems.
CoRR, 2024

Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model.
CoRR, 2024

How to Train Data-Efficient LLMs.
CoRR, 2024

Self-Discover: Large Language Models Self-Compose Reasoning Structures.
CoRR, 2024

Large Language Models as Data Augmenters for Cold-Start Item Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Long-Term Value of Exploration: Measurements, Findings and Algorithms.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

LLMs for User Interest Exploration in Large-scale Recommendation Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Improving Data Efficiency for Recommenders and LLMs.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Aligning Large Language Models with Recommendation Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Multi-Task Neural Linear Bandit for Exploration in Recommender Systems.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models as Analogical Reasoners.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

Leveraging LLM Reasoning Enhances Personalized Recommender Systems.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems.
CoRR, 2023

Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication.
CoRR, 2023

Density Weighting for Multi-Interest Personalized Recommendation.
CoRR, 2023

Better Generalization with Semantic IDs: A case study in Ranking for Recommendations.
CoRR, 2023

Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems.
CoRR, 2023

Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations.
CoRR, 2023

Large Language Models for User Interest Journeys.
CoRR, 2023

Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals.
CoRR, 2023

Value of Exploration: Measurements, Findings and Algorithms.
CoRR, 2023

Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction.
CoRR, 2023

Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Latent User Intent Modeling for Sequential Recommenders.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel.
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Online Matching: A Real-time Bandit System for Large-scale Recommendations.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Efficient Data Representation Learning in Google-scale Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Recommender Systems with Generative Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving Training Stability for Multitask Ranking Models in Recommender Systems.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Large Language Models Can Be Easily Distracted by Irrelevant Context.
Proceedings of the International Conference on Machine Learning, 2023

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Consistency Improves Chain of Thought Reasoning in Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Emergent Abilities of Large Language Models.
Trans. Mach. Learn. Res., 2022

Scaling Instruction-Finetuned Language Models.
CoRR, 2022

Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations.
CoRR, 2022

Reward Shaping for User Satisfaction in a REINFORCE Recommender.
CoRR, 2022

Rationale-Augmented Ensembles in Language Models.
CoRR, 2022

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.
CoRR, 2022

Self-Consistency Improves Chain of Thought Reasoning in Language Models.
CoRR, 2022

Algorithms for Efficiently Learning Low-Rank Neural Networks.
CoRR, 2022

Chain of Thought Prompting Elicits Reasoning in Large Language Models.
CoRR, 2022

Recency Dropout for Recurrent Recommender Systems.
CoRR, 2022

LaMDA: Language Models for Dialog Applications.
CoRR, 2022

Distributionally-robust Recommendations for Improving Worst-case User Experience.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Can Small Heads Help? Understanding and Improving Multi-Task Generalization.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning to Augment for Casual User Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Multi-Resolution Attention for Personalized Item Search.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Off-Policy Actor-critic for Recommender Systems.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Multi-Task Generalization via Regularizing Spurious Correlation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Surrogate for Long-Term User Experience in Recommender Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

HyperPrompt: Prompt-based Task-Conditioning of Transformers.
Proceedings of the International Conference on Machine Learning, 2022

2021
Measuring Recommender System Effects with Simulated Users.
CoRR, 2021

A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities.
Proceedings of the WWW '21: The Web Conference 2021, 2021

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems.
Proceedings of the WSDM '21, 2021

User Response Models to Improve a REINFORCE Recommender System.
Proceedings of the WSDM '21, 2021

Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems.
Proceedings of the WSDM '21, 2021

Values of User Exploration in Recommender Systems.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Improving Calibration through the Relationship with Adversarial Robustness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning to Embed Categorical Features without Embedding Tables for Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Batch Reinforcement Learning Through Continuation Method.
Proceedings of the 9th International Conference on Learning Representations, 2021

Can We Improve Model Robustness through Secondary Attribute Counterfactuals?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Self-supervised Learning for Large-scale Item Recommendations.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Learned Indexes for a Google-scale Disk-based Database.
CoRR, 2020

Deep Hash Embedding for Large-Vocab Categorical Feature Representations.
CoRR, 2020

DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems.
CoRR, 2020

Small Towers Make Big Differences.
CoRR, 2020

Self-supervised Learning for Deep Models in Recommendations.
CoRR, 2020

Improving Uncertainty Estimates through the Relationship with Adversarial Robustness.
CoRR, 2020

Developing a Recommendation Benchmark for MLPerf Training and Inference.
CoRR, 2020

Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing.
CoRR, 2020

Understanding and Improving Knowledge Distillation.
CoRR, 2020

Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Off-policy Learning in Two-stage Recommender Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Deconfounding User Satisfaction Estimation from Response Rate Bias.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Fairness without Demographics through Adversarially Reweighted Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

BRPO: Batch Residual Policy Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems.
CoRR, 2019

Toward a better trade-off between performance and fairness with kernel-based distribution matching.
CoRR, 2019

Transfer of Machine Learning Fairness across Domains.
CoRR, 2019

Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs.
CoRR, 2019

Towards Neural Mixture Recommender for Long Range Dependent User Sequences.
Proceedings of the World Wide Web Conference, 2019

Top-K Off-Policy Correction for a REINFORCE Recommender System.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Recommending what video to watch next: a multitask ranking system.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Sampling-bias-corrected neural modeling for large corpus item recommendations.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Fairness in Recommendation Ranking through Pairwise Comparisons.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Quantifying Long Range Dependence in Language and User Behavior to improve RNNs.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Efficient Training on Very Large Corpora via Gramian Estimation.
Proceedings of the 7th International Conference on Learning Representations, 2019

AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

SageDB: A Learned Database System.
Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

Counterfactual Fairness in Text Classification through Robustness.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Evaluation and Refinement of Clustered Search Results with the Crowd.
ACM Trans. Interact. Intell. Syst., 2018

Seq2Slate: Re-ranking and Slate Optimization with RNNs.
CoRR, 2018

Latent Cross: Making Use of Context in Recurrent Recommender Systems.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

The Case for Learned Index Structures.
Proceedings of the 2018 International Conference on Management of Data, 2018

Categorical-attributes-based item classification for recommender systems.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

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

Q&R: A Two-Stage Approach toward Interactive Recommendation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Practical Diversified Recommendations on YouTube with Determinantal Point Processes.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Factorized Recurrent Neural Architectures for Longer Range Dependence.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations.
CoRR, 2017

Technical perspective: Humans and computers working together on hard tasks.
Commun. ACM, 2017

Beyond Globally Optimal: Focused Learning for Improved Recommendations.
Proceedings of the 26th International Conference on World Wide Web, 2017

2016
AppGrouper: Knowledge-based Interactive Clustering Tool for App Search Results.
Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

Video Watch Time and Comment Sentiment: Experiences from YouTube.
Proceedings of the Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies, 2016

Window Shopping: A Study of Desktop Window Switching.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
1st International Workshop on Multilingual Web Access (MWA 2015).
SIGIR Forum, 2015

Improving User Topic Interest Profiles by Behavior Factorization.
Proceedings of the 24th International Conference on World Wide Web, 2015

Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Blurring of the Boundary Between Interactive Search and Recommendation.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

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

Design for Searching & Finding.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

Google+ Communities as Plazas and Topic Boards.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014
RepliCHI: the workshop II.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Location and Language Use in Social Media.
Proceedings of the Workshop on Language Technologies and Computational Social Science@ACL 2014, 2014

Looking Back: Retrospective Study Methods for HCI.
Proceedings of the Ways of Knowing in HCI, 2014

Crowdsourcing in HCI Research.
Proceedings of the Ways of Knowing in HCI, 2014

2013
Already up? using mobile phones to track & share sleep behavior.
Int. J. Hum. Comput. Stud., 2013

Perception and understanding of social annotations in web search.
Proceedings of the 22nd International World Wide Web Conference, 2013

The false dichotomy between accessibility and usability.
Proceedings of the International Cross-Disciplinary Conference on Web Accessibility, 2013

Inserting Micro-Breaks into Crowdsourcing Workflows.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

The Science of Social Interactions on the Web.
Proceedings of the 2013 International Conference on Cyberworlds, 2013

Instant foodie: predicting expert ratings from grassroots.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

RepliCHI: the workshop.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

Swipe vs. scroll: web page switching on mobile browsers.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

All the news that's fit to read: a study of social annotations for news reading.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

Re-testing the Perception of Social Annotations in Web Search.
Proceedings of the CHI 2013 Workshop on the Replication of HCI Research, 2013

2012
Leveraging Online Populations for Crowdsourcing [Guest editors' introduction].
IEEE Internet Comput., 2012

Who is Authoritative? Understanding Reputation Mechanisms in Quora
CoRR, 2012

Online privacy; replicating research results.
Commun. ACM, 2012

Who knows?: searching for expertise on the social web: technical perspective.
Commun. ACM, 2012

2nd Workshop on context-awareness in retrieval and recommendation: (CaRR 2012).
Proceedings of the 17th International Conference on Intelligent User Interfaces, 2012

RepliCHI SIG: from a panel to a new submission venue for replication.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

Social annotations in web search.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

Talking in circles: selective sharing in google+.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

2011
Reviewing peer review.
Commun. ACM, 2011

Apples to oranges?: comparing across studies of open collaboration/peer production.
Proceedings of the 7th International Symposium on Wikis and Open Collaboration, 2011

VisualWikiCurator: human and machine intelligencefor organizing wiki content.
Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Mail2Wiki: posting and curating Wiki content from email.
Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Is Twitter a Good Place for Asking Questions? A Characterization Study.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Language Matters In Twitter: A Large Scale Study.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Studying the Adoption of Mail2Tag: an Enterprise2.0 Tool for Sharing.
Proceedings of the Twelfth European Conference on Computer Supported Cooperative Work, 2011

Mail2Tag: Augmenting email for sharing with implicit tag-based categorization.
Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, 2011

RepliCHI - CHI should be replicating and validating results more: discuss.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

From slacktivism to activism: participatory culture in the age of social media.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

VisualWikiCurator: a corporate Wiki plugin.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

Transferability of research findings: context-dependent or model-driven.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

Speak little and well: recommending conversations in online social streams.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

Crowdsourcing and human computation: systems, studies and platforms.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

The trouble with social computing systems research.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

Mail2Wiki: low-cost sharing and early curation from email to wikis.
Proceedings of the Fifth International Conference on Communities and Technologies, 2011

2010
An elaborated model of social search.
Inf. Process. Manag., 2010

Advancing the Design of Technology-Mediated Social Participation Systems.
Computer, 2010

The chaos of the internet as an external brain; and more.
Commun. ACM, 2010

Expanding CS education; improving software development.
Commun. ACM, 2010

Model-Driven Research in Human-Centric Computing.
Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2010

Eddi: interactive topic-based browsing of social status streams.
Proceedings of the 23rd Annual ACM Symposium on User Interface Software and Technology, 2010

Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Keynote: Model-Driven Research in Human-Computer Interaction.
Proceedings of the Mensch & Computer 2010: Interaktive Kulturen, 2010

A Comparison of Generated Wikipedia Profiles Using Social Labeling and Automatic Keyword Extraction.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

Clorg: collective intelligence in organizations.
Proceedings of the 2010 International ACM SIGGROUP Conference on Supporting Group Work, 2010

FeedWinnower: layering structures over collections of information streams.
Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

Short and tweet: experiments on recommending content from information streams.
Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

Designing a cross-channel information management tool for workers in enterprise task forces.
Proceedings of the International Conference on Advanced Visual Interfaces, 2010

2009
Information Seeking Can Be Social.
Computer, 2009

The singularity is not near: slowing growth of Wikipedia.
Proceedings of the 2009 International Symposium on Wikis, 2009

Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure Activities.
Proceedings of the User Modeling, 2009

Augmented social cognition: using social web technology to enhance the ability of groups to remember, think, and reason.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Impact on Performance and Process by a Social Annotation System: A Social Reading Experiment.
Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009

Activity Awareness and Social Sensemaking 2.0: Design of a Task Force Workspace.
Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009

A Position Paper on 'Living Laboratories': Rethinking Ecological Designs and Experimentation in Human-Computer Interaction.
Proceedings of the Human-Computer Interaction. New Trends, 13th International Conference, 2009

With a little help from my friends: examining the impact of social annotations in sensemaking tasks.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

What's in Wikipedia?: mapping topics and conflict using socially annotated category structure.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

Signpost from the masses: learning effects in an exploratory social tag search browser.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

Annotate once, appear anywhere: collective foraging for snippets of interest using paragraph fingerprinting.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2008
The Social Web: Research and Opportunities.
Computer, 2008

Understanding the Efficiency of Social Tagging Systems using Information Theory.
Proceedings of the Second International Conference on Weblogs and Social Media, 2008

Can you ever trust a wiki?: impacting perceived trustworthiness in wikipedia.
Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work, 2008

The social (open) workspace.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Towards a model of understanding social search.
Proceedings of the Proceeding of the 2008 ACM Workshop on Search in Social Media, 2008

Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard.
Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

Crowdsourcing user studies with Mechanical Turk.
Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

Activity-based serendipitous recommendations with the Magitti mobile leisure guide.
Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

SparTag.us: a low cost tagging system for foraging of web content.
Proceedings of the working conference on Advanced Visual Interfaces, 2008

Augmented Social Cognition.
Proceedings of the Social Information Processing, 2008

2007
ScentIndex and ScentHighlights: productive reading techniques for conceptually reorganizing subject indexes and highlighting passages.
Inf. Vis., 2007

Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations.
Proceedings of the 2nd IEEE Symposium on Visual Analytics Science and Technology, 2007

Aspects of Augmented Social Cognition: Social Information Foraging and Social Search.
Proceedings of the Online Communities and Social Computing, 2007

Visual Foraging of Highlighted Text: An Eye-Tracking Study.
Proceedings of the Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments, 2007

He says, she says: conflict and coordination in Wikipedia.
Proceedings of the 2007 Conference on Human Factors in Computing Systems, 2007

2006
Entity Workspace: An Evidence File That Aids Memory, Inference, and Reading.
Proceedings of the Intelligence and Security Informatics, 2006

Scentindex: Conceptually Reorganizing Subject Indexes for Reading.
Proceedings of the 1st IEEE Symposium On Visual Analytics Science And Technology, 2006

Entity quick click: rapid text copying based on automatic entity extraction.
Proceedings of the Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006

2005
Guest Editors' Introduction: Pervasive Computing in Sports Technologies.
IEEE Pervasive Comput., 2005

Introducing wearable force sensors in martial arts.
IEEE Pervasive Comput., 2005

ScentHighlights: highlighting conceptually-related sentences during reading.
Proceedings of the 10th International Conference on Intelligent User Interfaces, 2005

Annotating 3D electronic books.
Proceedings of the Extended Abstracts Proceedings of the 2005 Conference on Human Factors in Computing Systems, 2005

2004
"Killer App" of wearable computing: wireless force sensing body protectors for martial arts.
Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology, 2004

eBooks with indexes that reorganize conceptually.
Proceedings of the Extended abstracts of the 2004 Conference on Human Factors in Computing Systems, 2004

3Book: a scalable 3D virtual book.
Proceedings of the Extended abstracts of the 2004 Conference on Human Factors in Computing Systems, 2004

3Book: a 3D electronic smart book.
Proceedings of the working conference on Advanced visual interfaces, 2004

2003
ScentTrails: integrating browsing and searching on the Web.
Interactions, 2003

The bloodhound project: automating discovery of web usability issues using the InfoScent simulator.
Proceedings of the 2003 Conference on Human Factors in Computing Systems, 2003

2002
Improving Web Usability Through Visualization.
IEEE Internet Comput., 2002

LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition.
Proceedings of the WEBKDD 2002, 2002

Separating the swarm: categorization methods for user sessions on the web.
Proceedings of the CHI 2002 Conference on Human Factors in Computing Systems: Changing our World, 2002

Expressiveness of the data flow and data state models in visualization systems.
Proceedings of the Working Conference on Advanced Visual Interfaces, 2002

2001
Using information scent to model user information needs and actions and the Web.
Proceedings of the CHI 2001 Conference on Human Factors in Computing Systems, Seattle, WA, USA, March 31, 2001

2000
Novel visualization method for biological sequence similarity reports.
J. Electronic Imaging, 2000

Case Study: Resource Steering in a Visualization System.
Proceedings of the 2nd Joint Eurographics - IEEE TCVG Symposium on Visualization, 2000

A Taxonomy of Visualization Techniques Using the Data State Reference Model.
Proceedings of the IEEE Symposium on Information Visualization 2000 (INFOVIS'00), 2000

Enhancing a digital book with a reading recommender.
Proceedings of the CHI 2000 Conference on Human factors in computing systems, 2000

The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a Web site.
Proceedings of the CHI 2000 Conference on Human factors in computing systems, 2000

1999
Sensemaking of Evolving Web Sites Using Visualization Spreadsheets.
Proceedings of the IEEE Symposium on Information Visualization 1999 (INFOVIS'99), 1999

Web Analysis Visualization Spreadsheet.
Proceedings of the 1999 ACM Digital Library Workshop on Organizing Web Space (WOWS), 1999

1998
Principles for Information Visualization Spreadsheets.
IEEE Computer Graphics and Applications, 1998

An Operator Interaction Framework for Visualization Systems.
Proceedings of the 1998 IEEE Symposium on Information Visualization (InfoVis '98), 1998

Visualizing the Evolution of Web Ecologies.
Proceedings of the Proceeding of the CHI '98 Conference on Human Factors in Computing Systems, 1998

1997
A spreadsheet approach to information visualization.
Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97), 1997

1996
Flexible Information Visualization of Multivariate Data from Biological Sequence Similarity Searches.
Proceedings of the 7th IEEE Visualization Conference, 1996

1995
Visualization of Biological Sequence Similarity Search Results.
Proceedings of the 6th IEEE Visualization Conference, 1995

Implementation and testing of an automated EST processing and similarity analysis system.
Proceedings of the 28th Annual Hawaii International Conference on System Sciences (HICSS-28), 1995


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