Ed Chi
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Computer Science
Why Is Ed Chi Influential?
(Suggest an Edit or Addition)According to Wikipedia, Ed Huai-Hsin Chi is a Taiwanese American computer scientist and research scientist at Google, known for his early work in applying the theory of information scent to predict usability of websites. Biography Born and raised in Taipei, Taiwan, Chi moved to Minnesota in the 9th grade. He obtained his BA in 1994, his MA in 1996 and his PhD in 1999, all at the University of Minnesota.
Ed Chi's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Crowdsourcing user studies with Mechanical Turk (2008) (2053)
- Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network (2010) (1206)
- The Case for Learned Index Structures (2017) (696)
- He says, she says: conflict and coordination in Wikipedia (2007) (628)
- A taxonomy of visualization techniques using the data state reference model (2000) (627)
- Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles (2011) (549)
- Using information scent to model user information needs and actions and the Web (2001) (492)
- Short and tweet: experiments on recommending content from information streams (2010) (471)
- Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts (2018) (445)
- Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations (2017) (330)
- Top-K Off-Policy Correction for a REINFORCE Recommender System (2018) (310)
- Latent Cross: Making Use of Context in Recurrent Recommender Systems (2018) (270)
- The singularity is not near: slowing growth of Wikipedia (2009) (268)
- An operator interaction framework for visualization systems (1998) (264)
- Fairness in Recommendation Ranking through Pairwise Comparisons (2019) (248)
- ScentTrails: Integrating browsing and searching on the Web (2003) (235)
- Language Matters In Twitter: A Large Scale Study (2011) (233)
- The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a Web site (2000) (227)
- Activity-based serendipitous recommendations with the Magitti mobile leisure guide (2008) (227)
- Visualizing the evolution of Web ecologies (1998) (223)
- Recommending what video to watch next: a multitask ranking system (2019) (215)
- Eddi: interactive topic-based browsing of social status streams (2010) (195)
- Talking in circles: selective sharing in google+ (2012) (189)
- Counterfactual Fairness in Text Classification through Robustness (2018) (174)
- Fairness without Demographics through Adversarially Reweighted Learning (2020) (166)
- What's in Wikipedia?: mapping topics and conflict using socially annotated category structure (2009) (162)
- Towards a model of understanding social search (2008) (158)
- The bloodhound project: automating discovery of web usability issues using the InfoScentπ simulator (2003) (155)
- SageDB: A Learned Database System (2019) (155)
- From slacktivism to activism: participatory culture in the age of social media (2011) (150)
- Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard (2008) (149)
- Is Twitter a Good Place for Asking Questions? A Characterization Study (2011) (148)
- AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks (2019) (145)
- Can you ever trust a wiki?: impacting perceived trustworthiness in wikipedia (2008) (134)
- An elaborated model of social search (2010) (133)
- A spreadsheet approach to information visualization (1997) (125)
- Signpost from the masses: learning effects in an exploratory social tag search browser (2009) (124)
- Improving User Topic Interest Profiles by Behavior Factorization (2015) (124)
- DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems (2020) (113)
- Understanding the efficiency of social tagging systems using information theory (2008) (113)
- Separating the swarm: categorization methods for user sessions on the web (2002) (103)
- Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements (2019) (101)
- Sampling-bias-corrected neural modeling for large corpus item recommendations (2019) (100)
- Speak little and well: recommending conversations in online social streams (2011) (97)
- Practical Diversified Recommendations on YouTube with Determinantal Point Processes (2018) (96)
- Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations (2007) (94)
- ScentTrails: integrating browsing and searching on the Web (2003) (92)
- Information Seeking Can Be Social (2009) (92)
- And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions (2015) (90)
- Q&R: A Two-Stage Approach toward Interactive Recommendation (2018) (90)
- Who is Authoritative? Understanding Reputation Mechanisms in Quora (2012) (89)
- Towards a model of understanding social search (2008) (85)
- The Social Web: Research and Opportunities (2008) (82)
- Improving Web Usability Through Visualization (2002) (81)
- With a little help from my friends: examining the impact of social annotations in sensemaking tasks (2009) (81)
- "Killer App" of wearable computing: wireless force sensing body protectors for martial arts (2004) (80)
- Enhancing a digital book with a reading recommender (2000) (80)
- Understanding and Improving Knowledge Distillation (2020) (78)
- Self-supervised Learning for Large-scale Item Recommendations (2020) (77)
- Identification of Web User Traffic Composition using Multi-Modal Clustering and Information Scent (2000) (77)
- SparTag.us: a low cost tagging system for foraging of web content (2008) (73)
- Towards Neural Mixture Recommender for Long Range Dependent User Sequences (2019) (71)
- SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning (2019) (70)
- Introducing wearable force sensors in martial arts (2005) (70)
- RepliCHI: the workshop (2013) (70)
- Beyond Globally Optimal: Focused Learning for Improved Recommendations (2017) (63)
- Seq2Slate: Re-ranking and Slate Optimization with RNNs (2018) (62)
- LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition (2002) (59)
- Entity Workspace: An Evidence File That Aids Memory, Inference, and Reading (2006) (58)
- Validation of Model (2002) (58)
- Inserting Micro-Breaks into Crowdsourcing Workflows (2013) (57)
- RepliCHI - CHI should be replicating and validating results more: discuss (2011) (56)
- Mining the Structure of User Activity using Cluster Stability (2002) (54)
- Guest Editors' Introduction: Pervasive Computing in Sports Technologies (2005) (53)
- Off-policy Learning in Two-stage Recommender Systems (2020) (52)
- Already up? using mobile phones to track & share sleep behavior (2013) (51)
- Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations (2020) (51)
- 3Book: a scalable 3D virtual book (2004) (51)
- Visual Foraging of Highlighted Text: An Eye-Tracking Study (2007) (48)
- Sensemaking of evolving Web sites using visualization spreadsheets (1999) (48)
- ScentHighlights: highlighting conceptually-related sentences during reading (2005) (47)
- Understanding Navigability of Social Tagging Systems (2006) (44)
- Transfer of Machine Learning Fairness across Domains (2019) (44)
- A framework for information visualization spreadsheets (1999) (43)
- CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation (2020) (42)
- Efficient Training on Very Large Corpora via Gramian Estimation (2018) (41)
- RepliCHI: the workshop II (2014) (40)
- The trouble with social computing systems research (2011) (40)
- Efficiency of shared-memory multiprocessors for a genetic sequence similarity search algorithm (1996) (37)
- What is a Question? Crowdsourcing Tweet Categorization (2011) (37)
- DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning (2021) (36)
- A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation (2020) (35)
- Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs (2019) (34)
- Expressiveness of the data flow and data state models in visualization systems (2002) (33)
- Self-supervised Learning for Deep Models in Recommendations (2020) (31)
- Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure Activities (2009) (30)
- Augmented social cognition: using social web technology to enhance the ability of groups to remember, think, and reason (2009) (29)
- Flexible information visualization of multivariate data from biological sequence similarity searches (1996) (29)
- RepliCHI SIG: from a panel to a new submission venue for replication (2012) (28)
- Measuring Recommender System Effects with Simulated Users (2021) (28)
- A Framework for Visualizing Information (2002) (28)
- Visualization of biological sequence similarity search results (1995) (28)
- Learning to Embed Categorical Features without Embedding Tables for Recommendation (2020) (27)
- A Position Paper on 'Living Laboratories': Rethinking Ecological Designs and Experimentation in Human-Computer Interaction (2009) (26)
- Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems (2020) (26)
- AppGrouper: Knowledge-based Interactive Clustering Tool for App Search Results (2016) (25)
- Crowdsourcing and human computation: systems, studies and platforms (2011) (25)
- Toward a better trade-off between performance and fairness with kernel-based distribution matching (2019) (24)
- Developing a Recommendation Benchmark for MLPerf Training and Inference (2020) (24)
- Categorical-attributes-based item classification for recommender systems (2018) (22)
- Entity quick click: rapid text copying based on automatic entity extraction (2006) (22)
- HyperPrompt: Prompt-based Task-Conditioning of Transformers (2022) (22)
- Augmented Social Cognition (2008) (21)
- Aspects of Augmented Social Cognition: Social Information Foraging and Social Search (2007) (21)
- Factorized Recurrent Neural Architectures for Longer Range Dependence (2018) (21)
- Sensors And Ubiquitous ComputingTechnologies In Sports (2008) (21)
- Who knows? (2012) (21)
- 3Book: a 3D electronic smart book (2004) (21)
- Learned Indexes for a Google-scale Disk-based Database (2020) (20)
- Crowdsourcing in HCI Research (2014) (20)
- Scentindex: Conceptually Reorganizing Subject Indexes for Reading (2006) (20)
- Annotate once, appear anywhere: collective foraging for snippets of interest using paragraph fingerprinting (2009) (19)
- A Framework for Visualizing Information (Human–Computer Interaction Series) (2002) (18)
- FeedWinnower: layering structures over collections of information streams (2010) (18)
- Perception and understanding of social annotations in web search (2013) (18)
- eBooks with indexes that reorganize conceptually (2004) (18)
- VisualWikiCurator: human and machine intelligencefor organizing wiki content (2011) (18)
- Collective Intelligence In Organizations: Toward a Research Agenda (2010) (18)
- Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems (2020) (17)
- Looking Back: Retrospective Study Methods for HCI (2014) (17)
- Advancing the Design of Technology-Mediated Social Participation Systems (2010) (17)
- Transient User Profiling (2004) (16)
- ScentIndex and ScentHighlights: Productive Reading Techniques for Conceptually Reorganizing Subject Indexes and Highlighting Passages∗ (2007) (16)
- Annotating 3D electronic books (2005) (15)
- Quantifying Long Range Dependence in Language and User Behavior to improve RNNs (2019) (15)
- Values of User Exploration in Recommender Systems (2021) (15)
- Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems (2021) (15)
- Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning (2015) (14)
- DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems (2020) (14)
- Leveraging Online Populations for Crowdsourcing [Guest editors' introduction] (2012) (13)
- Factorized Deep Retrieval and Distributed TensorFlow Serving (2018) (13)
- Building Healthy Recommendation Sequences for Everyone:A Safe Reinforcement Learning Approach (2021) (13)
- Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning (2021) (13)
- Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval (2020) (13)
- Improving Calibration through the Relationship with Adversarial Robustness (2020) (12)
- Surrogate for Long-Term User Experience in Recommender Systems (2022) (12)
- Deconfounding User Satisfaction Estimation from Response Rate Bias (2020) (12)
- Instant foodie: predicting expert ratings from grassroots (2013) (12)
- Apples to oranges?: comparing across studies of open collaboration/peer production (2011) (12)
- Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities (2021) (11)
- Mail2Wiki: low-cost sharing and early curation from email to wikis (2011) (11)
- Improving Uncertainty Estimates through the Relationship with Adversarial Robustness (2020) (11)
- Lifting the Curse of Multidimensional Data with Learned Existence Indexes (2018) (11)
- Activity Awareness and Social Sensemaking 2.0: Design of a Task Force Workspace (2009) (10)
- Google+ Communities as Plazas and Topic Boards (2015) (10)
- Blurring of the Boundary Between Interactive Search and Recommendation (2015) (10)
- Implementation and testing of an automated EST processing and analysis system (1995) (9)
- Swipe vs. scroll: web page switching on mobile browsers (2013) (9)
- Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model (2020) (8)
- Designing a cross-channel information management tool for workers in enterprise task forces (2010) (8)
- Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective (2021) (7)
- Deep Hash Embedding for Large-Vocab Categorical Feature Representations (2020) (7)
- Batch Reinforcement Learning Through Continuation Method (2021) (7)
- Clorg: collective intelligence in organizations (2010) (7)
- Window Shopping: A Study of Desktop Window Switching (2016) (7)
- Mail2Tag: Efficient Targeting of News in an Organization (2010) (6)
- Distributionally-robust Recommendations for Improving Worst-case User Experience (2022) (6)
- Mail2Tag: Augmenting email for sharing with implicit tag-based categorization (2011) (6)
- AppGrouper: Knowledge-graph-based Interactive Clustering Tool for Mobile App Search Results (2016) (6)
- Implementation and testing of an automated EST processing and similarity analysis system (1995) (6)
- Information Seeking with Social Signals: Anatomy of a Social Tag-based Exploratory Search Browser (2010) (6)
- Technical perspective: Humans and computers working together on hard tasks (2017) (6)
- Web Analysis Visualization Spreadsheet (1999) (6)
- End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms (2020) (6)
- Improving Relevance Prediction with Transfer Learning in Large-scale Retrieval Systems (2019) (5)
- Designing for Learning Communities in a Large Enterprise (2010) (5)
- BRPO: Batch Residual Policy Optimization (2020) (5)
- ScentTrails: Integrating Browsing and Searching on the World Wide Web (2000) (5)
- Can We Improve Model Robustness through Secondary Attribute Counterfactuals? (2021) (5)
- Small Towers Make Big Differences (2020) (5)
- Mail2Wiki: posting and curating Wiki content from email (2011) (4)
- Evaluation and Refinement of Clustered Search Results with the Crowd (2018) (4)
- Off-Policy Actor-critic for Recommender Systems (2022) (4)
- Transferability of research findings: context-dependent or model-driven (2011) (4)
- Visual perception for data visualization (2000) (3)
- Categorical-Attributes-Based Multi-Level Classification for Recommender Systems (2018) (3)
- Improving Multi-Task Generalization via Regularizing Spurious Correlation (2022) (3)
- Can Small Heads Help? Understanding and Improving Multi-Task Generalization (2022) (2)
- Reviewing peer review (2011) (2)
- The false dichotomy between accessibility and usability (2013) (2)
- Online privacy; replicating research results (2012) (2)
- VisualWikiCurator: a corporate Wiki plugin (2011) (2)
- The chaos of the internet as an external brain; and more (2010) (2)
- Algorithms for Efficiently Learning Low-Rank Neural Networks (2022) (2)
- Studying the Adoption of Mail2Tag: an Enterprise2.0 Tool for Sharing (2011) (2)
- Sensemaking with Tweeting: Exploiting Microblogging for Knowledge Workers (2010) (2)
- Learning to Augment for Casual User Recommendation (2022) (2)
- Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing (2020) (1)
- Case Study: Resource Steering in a Visualization System (2000) (1)
- The Dynamics of Signal Propagation in Gated Recurrent Neural Networks (2019) (1)
- Mobile Recommendations for Leisure Activities (2008) (1)
- Reward Shaping for User Satisfaction in a REINFORCE Recommender (2022) (1)
- Expanding CS education; improving software development (2010) (1)
- Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations (2022) (1)
- 1st International Workshop on Multilingual Web Access (MWA 2015) (2016) (1)
- Towards Content Provider Aware Recommender Systems (2021) (1)
- Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN) (2022) (1)
- System and Method for Multi-Modal Clustering (1999) (1)
- A Comparison of Generated Wikipedia Profiles Using Social Labeling and Automatic Keyword Extraction (2010) (1)
- From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation (2020) (1)
- Novel visualization method for biological sequence similarity reports (2000) (1)
- Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems (2019) (1)
- Systems and methods for the combined, on Informr collection of documents (2002) (0)
- Session details: Understanding comments (2010) (0)
- Detailed Case Study: Web Analysis Visualization Spreadsheet (2002) (0)
- Expressiveness of Data State Model (2002) (0)
- The Visualization Spreadsheet Illustrated (2002) (0)
- Chapter 7: Web Analysis Tools Based on InfoScent™: How Cognitive Modelling Explain Reader Navigational Decisions (2006) (0)
- 42 Cover Fe Ature the Need for Social Search Information Seeking Can Be Social (2009) (0)
- Understanding Social Annotations in Social Search and Recommendations (2014) (0)
- A Composite of Heterogeneous Sources Recommenders (CHR) (2020) (0)
- Elastic multi-resolution model-serving to compute inferences (2017) (0)
- Latent User Intent Modeling for Sequential Recommenders (2022) (0)
- Quantifying Long Range Dependence in User Behavior to improve RNNs (2019) (0)
- Keynote: Model-Driven Research in Human-Computer Interaction (2010) (0)
- A method for automatically conceptual highlighting in electronic text American (2006) (0)
- Improving Training Stability for Multitask Ranking Models in Recommender Systems (2023) (0)
- ADVANCING DESIGN OF TECHNOLOGY-SOCIAL PARTICIPATION (2010) (0)
- Wikis, Blogs, Bookmarking Tools Mining the Web 2.0 (2008) (0)
- What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel (2023) (0)
- Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems (2023) (0)
- Model-Driven Research in Human-Centric Computing (2010) (0)
- Re-testing the Perception of Social Annotations in Web Search (2013) (0)
- Improving Web Usability Through Visualization Predictive Web usage visualizations can help analysts uncover traffic patterns and usability problems (2002) (0)
- Study : Resource Steering in a Visualization System (0)
- Design for Searching & Finding (2015) (0)
- The social (open) workspace (2008) (0)
- Zero-Shot Transfer Learning for Query-Item Cold Start in Search Retrieval and Recommendations (2020) (0)
- The science of social interactions on the web (2013) (0)
- Nonlinear Initialization Methods for Low-Rank Neural Networks (2022) (0)
- Supplementary to “DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning” (2021) (0)
- Procédé de mise en surbrillance conceptuelle automatique dans un texte électronique (2006) (0)
- Multimodal Information Access (2000) (0)
- Système et procédé pour prédire le flux d'utilisateurs web en déterminant la force de connection des liens entre des documents hypermedia (2001) (0)
- Model-Driven Research in Human-Computer Interaction (2010) (0)
- Multi-Resolution Attention for Personalized Item Search (2022) (0)
- Systèmes et méthodes d'identification du type des utilisateurs à l'aide de groupements multi-modes et d'empreintes informatives (2002) (0)
- Impact on Performance and Process by a Social Annotation System: A Social Reading Experiment (2009) (0)
- Data State Reference Model (2002) (0)
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What Schools Are Affiliated With Ed Chi?
Ed Chi is affiliated with the following schools:
