2025
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation.
CoRR, February, 2025
Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
2024
Scaling Instruction-Finetuned Language Models.
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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.
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CoRR, 2024
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning.
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CoRR, 2024
LLMs for User Interest Exploration: A Hybrid Approach.
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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
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.
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Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Long-Term Value of Exploration: Measurements, Findings and Algorithms.
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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.
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Proceedings of the 18th ACM Conference on Recommender Systems, 2024
LLMs for User Interest Exploration in Large-scale Recommendation Systems.
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Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations.
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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.
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Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems.
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Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders.
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Proceedings of the 18th ACM Conference on Recommender Systems, 2024
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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.
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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.
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CoRR, 2023
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals.
CoRR, 2023
Value of Exploration: Measurements, Findings and Algorithms.
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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.
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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.
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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.
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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.
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Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Emergent Abilities of Large Language Models.
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Trans. Mach. Learn. Res., 2022
Scaling Instruction-Finetuned Language Models.
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CoRR, 2022
Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations.
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CoRR, 2022
Reward Shaping for User Satisfaction in a REINFORCE Recommender.
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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.
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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.
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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.
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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.
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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.
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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
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
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.
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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