Developing a GUIDE Using Object-Oriented Programming. - Joseph A. Konstan; Lawrence A. Rowe (OOPSLA, 1991)

The PICASSO applications framework. - Lawrence A. Rowe; Joseph A. Konstan; Brian C. Smith; Steve Seitz; Chung Liu (UIST, 1991)

Commands as Media: Design and Implementation of a Command Stream. - Jonathan L. Herlocker; Joseph A. Konstan (ACM Multimedia, 1995)

TclProp: A Data-Propagation Formula Manager for Tcl and Tk. - Sunanda Iyengar; Joseph A. Konstan (Tcl/Tk Workshop, 1995)

Integrating Personal and Community Recommendations in Collaborative Filtering (workshop). - Joseph A. Konstan; Krishna Bharat (CSCW, 1996)

Lessons from the Neighborhood Viewer: Building Innovative Collaborative Applications in Tcl and Tk. - Alex Safonov; Douglas P. Perrin; Joseph A. Konstan; John V. Carlis; Robert Elde (Tcl/Tk Workshop, 1996)

Communication in Information Space. - Joe Konstan (J. Comput. Mediat. Commun., 1996)

Doing FLIPS: Flexible Interactive Presentation Synchronization. - James A. Schnepf; Joseph A. Konstan; David Hung-Chang Du (IEEE J. Sel. Areas Commun., 1996)

The Neighborhood Viewer: A Paradigm for Exploring Image Databases. - John V. Carlis; Alex Safonov; Douglas P. Perrin; Joseph A. Konstan (CHI Extended Abstracts, 1997)

A spreadsheet approach to information visualization. - Ed Huai-hsin Chi; Phillip Barry; John Riedl; Joseph A. Konstan (INFOVIS, 1997)

Nsync-A Constraint Based Toolkit for Multimedia. - Brian P. Bailey; Joseph A. Konstan (Tcl/Tk Workshop, 1997)

GroupLens: Applying Collaborative Filtering to Usenet News. - Joseph A. Konstan; Bradley N. Miller; David A. Maltz; Jonathan L. Herlocker; Lee R. Gordon; John Riedl (Commun. ACM, 1997)

Internet Self-Assessment in Pharmacology: A model for internet medical education. - Joseph A. Konstan; Paul Sturm; John McLeod; Leonard Lichtblau (Comput. Educ., 1997)

CHI 98 basic research symposium. - Joseph A. Konstan; Jane Siegel (CHI Conference Summary, 1998)

Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System. - Badrul Munir Sarwar; Joseph A. Konstan; Al Borchers; Jonathan L. Herlocker; Brad Miller 001; John Riedl (CSCW, 1998)

Agents in Their Midst: Evaluating User Adaptation to Agent-assisted Interfaces. - Tara Gustafson; J. Ben Schafer; Joseph A. Konstan (IUI, 1998)

Nsync - A Toolkit for Building Interactive Multimedia Presentations. - Brian P. Bailey; Joseph A. Konstan; Robert Cooley; Moses Dejong (ACM Multimedia, 1998)

Creating a Multimedia Extension for Tcl Using the Java Media Framework. - Moses Dejong; Brian P. Bailey; Joseph A. Konstan (Tcl/Tk Conference, 1998)

Interactive Visualization of Serial Periodic Data. - John V. Carlis; Joseph A. Konstan (ACM Symposium on User Interface Software and Technology, 1998)

Principles for Information Visualization Spreadsheets. - Ed Huai-hsin Chi; John Riedl; Phillip Barry; Joseph A. Konstan (IEEE Computer Graphics and Applications, 1998)

Unifying HCI: the impossible possibility. - Joseph A. Konstan; Jane Siegel (ACM SIGCHI Bull., 1998)

Combining Collaborative Filtering with Personal Agents for Better Recommendations. - Nathaniel Good; J. Ben Schafer; Joseph A. Konstan; Al Borchers; Badrul Munir Sarwar; Jonathan L. Herlocker; John Riedl (AAAI/IAAI, 1999)

Recommender systems in e-commerce. - J. Ben Schafer; Joseph A. Konstan; John Riedl (EC, 1999)

Explaining collaborative filtering recommendations. - Jonathan L. Herlocker; Joseph A. Konstan; John Riedl (CSCW, 2000)

Analysis of recommendation algorithms for e-commerce. - Badrul Munir Sarwar; George Karypis; Joseph A. Konstan; John Riedl (EC, 2000)

Measuring the effects of interruptions on task performance in the user interface. - Brian P. Bailey; Joseph A. Konstan; John V. Carlis (SMC, 2000)

JaViz: A client/server Java profiling tool. - Iffat H. Kazi; Davis P. Jose; Badis Ben-Hamida; Christian J. Hescott; Chris Kwok; Joseph A. Konstan; David J. Lilja; Pen-Chung Yew (IBM Syst. J., 2000)

Ph.D. vs. startup. - Alan Wexelblat; Quentin Jones; Howard Abrams; Joseph A. Konstan; Michael Vernick (CHI Extended Abstracts, 2001)

PolyLens: A recommender system for groups of user. - Mark O'Connor; Dan Cosley; Joseph A. Konstan; John Riedl (ECSCW, 2001)

The Effects of Interruptions on Task Performance, Annoyance, and Anxiety in the User Interface. - Brian P. Bailey; Joseph A. Konstan; John V. Carlis (INTERACT, 2001)

DEMAIS: designing multimedia applications with interactive storyboards. - Brian P. Bailey; Joseph A. Konstan; John V. Carlis (ACM Multimedia, 2001)

Heavyweight Applications of Lightweight User Models: A Look at Collaborative Filtering, Recommender Systems, and Real-Time Personalization. - Joseph A. Konstan (User Modeling, 2001)

End-user Web Automation: Challenges, Experiences, Recommendations. - Alex Safonov; Joseph A. Konstan; John V. Carlis (WebNet, 2001)

WebMacros - a Proxy-based System for Recording and Replaying User Interactions with the Web. - Alex Safonov; Joseph A. Konstan; John V. Carlis (WWW Posters, 2001)

Item-based collaborative filtering recommendation algorithms. - Badrul Munir Sarwar; George Karypis; Joseph A. Konstan; John Riedl (WWW, 2001)

E-Commerce Recommendation Applications. - J. Ben Schafer; Joseph A. Konstan; John Riedl (Data Min. Knowl. Discov., 2001)

Turn off the cameras-I'll take a traditional classroom. - Joseph A. Konstan (eLearn Mag., 2001)

Content-Independent Task-Focused Recommendation. - Jonathan L. Herlocker; Joseph A. Konstan (IEEE Internet Comput., 2001)

Word of Mouse - The Marketing Power of Collaborative Filtering. - John Thomas Riedl; Joseph A. Konstan; Eric Vrooman (Warner Books, 2002)

Recommender Systems for the Web. - Joseph A. Konstan; John Riedl (Visualizing the Semantic Web, 2002)

Meta-recommendation systems: user-controlled integration of diverse recommendations. - J. Ben Schafer; Joseph A. Konstan; John Riedl (CIKM, 2002)

On the recommending of citations for research papers. - Sean M. McNee; István Albert; Dan Cosley; Prateep Gopalkrishnan; Shyong K. Lam; Al Mamunur Rashid; Joseph A. Konstan; John Riedl (CSCW, 2002)

Getting to know you: learning new user preferences in recommender systems. - Al Mamunur Rashid; István Albert; Dan Cosley; Shyong K. Lam; Sean M. McNee; Joseph A. Konstan; John Riedl (IUI, 2002)

An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms. - Jonathan L. Herlocker; Joseph A. Konstan; John Riedl (Inf. Retr., 2002)

GroupLens for Usenet: Experiences in Applying Collaborative Filtering to a Social Information System. - Bradley N. Miller; John T. Ried; Joseph A. Konstan (From Usenet to CoWebs, 2003)

Are informal tools better?: comparing DEMAIS, pencil and paper, and authorware for early multimedia design. - Brian P. Bailey; Joseph A. Konstan (CHI, 2003)

Is seeing believing?: how recommender system interfaces affect users' opinions. - Dan Cosley; Shyong K. Lam; István Albert; Joseph A. Konstan; John Riedl (CHI, 2003)

Spam, spam, spam, spam: how can we stop it. - Jenny Preece; Jonathan Lazar; Elizabeth F. Churchill; Hans J. J. de Graaff; Batya Friedman; Joseph A. Konstan (CHI Extended Abstracts, 2003)

Confidence Displays and Training in Recommender Systems. - Sean M. McNee; Shyong K. Lam; Catherine Guetzlaff; Joseph A. Konstan; John Riedl (INTERACT, 2003)

MovieLens unplugged: experiences with an occasionally connected recommender system. - Bradley N. Miller; István Albert; Shyong K. Lam; Joseph A. Konstan; John Riedl (IUI, 2003)

Interfaces for Eliciting New User Preferences in Recommender Systems. - Sean M. McNee; Shyong K. Lam; Joseph A. Konstan; John Riedl (User Modeling, 2003)

Collaborative Filtering: Supporting Social Navigation in Large, Crowded Infospaces. - Joseph A. Konstan; John Riedl (Designing Information Spaces, 2003)

Enhancing digital libraries with TechLens+. - Roberto Torres; Sean M. McNee; Mara Abel; Joseph A. Konstan; John Riedl (JCDL, 2004)

View through MetaLens: usage patterns for a meta-recommendation system. - J. Ben Schafer; Joseph A. Konstan; John Riedl (IEE Proc. Softw., 2004)

Evaluating collaborative filtering recommender systems. - Jonathan L. Herlocker; Joseph A. Konstan; Loren G. Terveen; John Riedl (ACM Trans. Inf. Syst., 2004)

Introduction to recommender systems: Algorithms and Evaluation. - Joseph A. Konstan (ACM Trans. Inf. Syst., 2004)

PocketLens: Toward a personal recommender system. - Bradley N. Miller; Joseph A. Konstan; John Riedl (ACM Trans. Inf. Syst., 2004)

Distributed Recommender Systems for Internet Commerce. - Badrul Munir Sarwar; Joseph A. Konstan; John Riedl (Encyclopedia of Information Science and Technology (II), 2005)

How peer photos influence member participation in online communities. - Nishikant Kapoor; Joseph A. Konstan; Loren G. Terveen (CHI Extended Abstracts, 2005)

Beyond personalization: the next stage of recommender systems research. - Mark van Setten; Sean M. McNee; Joseph A. Konstan (IUI, 2005)

Stopping spyware at the gate: a user study of privacy, notice and spyware. - Nathaniel Good; Rachna Dhamija; Jens Grossklags; David Thaw; Steven Aronowitz; Deirdre K. Mulligan; Joseph A. Konstan (SOUPS, 2005)

An Economic Model of User Rating in an Online Recommender System. - F. Maxwell Harper; Sherry Xin Li; Yan Chen 014; Joseph A. Konstan (User Modeling, 2005)

Improving recommendation lists through topic diversification. - Cai-Nicolas Ziegler; Sean M. McNee; Joseph A. Konstan; Georg Lausen (WWW, 2005)

The Story of Subject Naught: A Cautionary but Optimistic Tale of Internet Survey Research. - Joseph A. Konstan; B. R. Simon Rosser; Michael W. Ross; Jeffrey Stanton; Weston M. Edwards (J. Comput. Mediat. Commun., 2005)

Recommender Systems for the Web. - J. Ben Schafer; Joseph A. Konstan; John Riedl (Visualizing the Semantic Web, 2nd Edition, 2006)

Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks. - Joseph A. Konstan; Sean M. McNee; Cai-Nicolas Ziegler; Roberto Torres; Nishikant Kapoor; John Riedl (AAAI, 2006)

Being accurate is not enough: how accuracy metrics have hurt recommender systems. - Sean M. McNee; John Riedl; Joseph A. Konstan (CHI Extended Abstracts, 2006)

Making recommendations better: an analytic model for human-recommender interaction. - Sean M. McNee; John Riedl; Joseph A. Konstan (CHI Extended Abstracts, 2006)

Don't look stupid: avoiding pitfalls when recommending research papers. - Sean M. McNee; Nishikant Kapoor; Joseph A. Konstan (CSCW, 2006)

On the need for attention-aware systems: Measuring effects of interruption on task performance, error rate, and affective state. - Brian P. Bailey; Joseph A. Konstan (Comput. Hum. Behav., 2006)

Noticing notice: a large-scale experiment on the timing of software license agreements. - Nathaniel Good; Jens Grossklags; Deirdre K. Mulligan; Joseph A. Konstan (CHI, 2007)

Watching together: integrating text chat with video. - Justin D. Weisz; Sara B. Kiesler; Hui Zhang 001; Yuqing Ren; Robert E. Kraut; Joseph A. Konstan (CHI, 2007)

Social Comparisons and Contributions to Online Communities: A Field Experiment on MovieLens. - Yan Chen 014; F. Maxwell Harper; Joseph A. Konstan; Sherry Xin Li (Computational Social Systems and the Internet, 2007)

A Study of Citations in Users' Online Personal Collections. - Nishikant Kapoor; John T. Butler; Sean M. McNee; Gary C. Fouty; James A. Stemper; Joseph A. Konstan (ECDL, 2007)

Social Comparisons to Motivate Contributions to an Online Community. - F. Maxwell Harper; Sherry Xin Li; Yan Chen 014; Joseph A. Konstan (PERSUASIVE, 2007)

Techlens: a researcher's desktop. - Nishikant Kapoor; Jilin Chen; John T. Butler; Gary C. Fouty; James A. Stemper; John Riedl; Joseph A. Konstan (RecSys, 2007)

Resolvability of references in users' personal collections. - Nishikant Kapoor; John T. Butler; Gary C. Fouty; James A. Stemper; Joseph A. Konstan (Inf. Res., 2007)

Predictors of answer quality in online Q&A sites. - F. Maxwell Harper; Daphne R. Raban; Sheizaf Rafaeli; Joseph A. Konstan (CHI, 2008)

Who predicts better?: results from an online study comparing humans and an online recommender system. - Vinod Krishnan; Pradeep Kumar Narayanashetty; Mukesh Nathan; Richard T. Davies; Joseph A. Konstan (RecSys, 2008)

Introduction to recommender systems. - Joseph A. Konstan (SIGMOD Conference, 2008)

Special issue on Recommender Systems. - Dietmar Jannach; Markus Zanker; Joseph A. Konstan (AI Commun., 2008)

On exploiting classification taxonomies in recommender systems. - Cai-Nicolas Ziegler; Georg Lausen; Joseph A. Konstan (AI Commun., 2008)

Facts or friends?: distinguishing informational and conversational questions in social Q&A sites. - F. Maxwell Harper; Daniel Moy; Joseph A. Konstan (CHI, 2009)

The Challenges of Ensuring Participant Consent in Internet-based Sex Studies: A Case Study of the Men's INTernet Sex (MINTS-I and II) Studies. - B. R. Simon Rosser; Laura J. Gurak; Keith J. Horvath; J. Michael Oakes; Joseph A. Konstan; Gene P. Danilenko (J. Comput. Mediat. Commun., 2009)

Expert identification in community question answering: exploring question selection bias. - Aditya Pal; Joseph A. Konstan (CIKM, 2010)

Automatically building research reading lists. - Michael D. Ekstrand; Praveen Kannan; James A. Stemper; John T. Butler; Joseph A. Konstan; John Riedl (RecSys, 2010)

Contests: way forward or detour? - Paul Resnick; Joseph A. Konstan; Andreas Hotho; Jesus Pindado (RecSys, 2010)

AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead. - Eric Horvitz; Lise Getoor; Carlos Guestrin; James A. Hendler; Joseph A. Konstan; Devika Subramanian; Michael P. Wellman; Henry A. Kautz (AI Mag., 2010)

Conference paper selectivity and impact. - Jilin Chen; Joseph A. Konstan (Commun. ACM, 2010)

Question types in social Q&A sites. - F. Maxwell Harper; Joseph Weinberg; John Logie; Joseph A. Konstan (First Monday, 2010)

Entity-linking interfaces in user-contributed content: preference and performance. - Xiao Dong; F. Maxwell Harper; Joseph A. Konstan (CHI, 2011)

Asked and Answered: On Qualities and Quantities of Answers in Online Q&A Sites. - John Logie; Joseph Weinberg; F. Maxwell Harper; Joseph A. Konstan (The Social Mobile Web, 2011)

Tutorial / HCI for recommender systems: a tutorial. - Joseph A. Konstan (IUI, 2011)

Rethinking the recommender research ecosystem: reproducibility, openness, and LensKit. - Michael D. Ekstrand; Michael Ludwig; Joseph A. Konstan; John Riedl (RecSys, 2011)

Early Detection of Potential Experts in Question Answering Communities. - Aditya Pal; Rosta Farzan; Joseph A. Konstan; Robert E. Kraut (UMAP, 2011)

Collaborative Filtering Recommender Systems. - Michael D. Ekstrand; John Riedl; Joseph A. Konstan (Found. Trends Hum. Comput. Interact., 2011)

Design and evaluation of a command recommendation system for software applications. - Wei Li 002; Justin Matejka; Tovi Grossman; Joseph A. Konstan; George W. Fitzmaurice (ACM Trans. Comput. Hum. Interact., 2011)

Creating great user experience: facing the challenges ahead. - Joseph A. Konstan; Aaron Marcus; Karen Holtzblatt; Eric Schaffer (CHI Extended Abstracts, 2012)

Socializing volunteers in an online community: a field experiment. - Rosta Farzan; Robert E. Kraut; Aditya Pal; Joseph A. Konstan (CSCW, 2012)

Question temporality: identification and uses. - Aditya Pal; James Margatan; Joseph A. Konstan (CSCW, 2012)

Evolution of Experts in Question Answering Communities. - Aditya Pal; Shuo Chang; Joseph A. Konstan (ICWSM, 2012)

Customer Service 2.0: Where Social Computing Meets Customer Relations. - Frank Bi; Joseph A. Konstan (Computer, 2012)

The Answer Is Out There: Online Q&A Sites. - Anuradha Uduwage; Joseph A. Konstan (Computer, 2012)

Exploring Question Selection Bias to Identify Experts and Potential Experts in Community Question Answering. - Aditya Pal; F. Maxwell Harper; Joseph A. Konstan (ACM Trans. Inf. Syst., 2012)

Recommender systems: from algorithms to user experience. - Joseph A. Konstan; John Riedl (User Model. User Adapt. Interact., 2012)

Toward identification and adoption of best practices in algorithmic recommender systems research. - Joseph A. Konstan; Gediminas Adomavicius (RepSys@RecSys, 2013)

Exploiting non-content preference attributes through hybrid recommendation method. - Fernando Mourão; Leonardo Rocha 001; Joseph A. Konstan; Wagner Meira Jr. (RecSys, 2013)

Study, Build, Repeat: Using Online Communities as a Research Platform. - Loren G. Terveen; Joseph A. Konstan; Cliff Lampe (Ways of Knowing in HCI, 2014)

CTS 2014 panel sessions. - Obinna Anya; John V. Carlis; Brent J. Hecht; Daniel F. Keefe; Neale R. Chumbler; Saif S. Khairat; Joseph A. Konstan; Danilo Pani; Jason Evgenides; Janet Girton; Arlene King; Joseph Zahn; et al. (CTS, 2014)

CTS 2014 keynotes. - Judith S. Olson; Joseph A. Konstan; Mark D. Gross; Lucy Fortson (CTS, 2014)

User perception of differences in recommender algorithms. - Michael D. Ekstrand; F. Maxwell Harper; Martijn C. Willemsen; Joseph A. Konstan (RecSys, 2014)

Evaluating recommender behavior for new users. - Daniel Kluver; Joseph A. Konstan (RecSys, 2014)

Exploring the filter bubble: the effect of using recommender systems on content diversity. - Tien T. Nguyen; Pik-Mai Hui; F. Maxwell Harper; Loren G. Terveen; Joseph A. Konstan (WWW, 2014)

Letting Users Choose Recommender Algorithms: An Experimental Study. - Michael D. Ekstrand; Daniel Kluver; F. Maxwell Harper; Joseph A. Konstan (RecSys, 2015)

"I like to explore sometimes": Adapting to Dynamic User Novelty Preferences. - Komal Kapoor; Vikas Kumar; Loren G. Terveen; Joseph A. Konstan; Paul R. Schrater (RecSys, 2015)

"Where Far Can Be Close": Finding Distant Neighbors In Recommender Systems. - Vikas Kumar; Daniel C. Jarratt; Rahul Anand; Joseph A. Konstan; Brent J. Hecht (LocalRec@RecSys, 2015)

Charting the future: scholarly publishing in CS. - Joseph A. Konstan; Jack W. Davidson (Commun. ACM, 2015)

Should conferences meet journals and where?: a proposal for 'PACM'. - Joseph A. Konstan; Jack W. Davidson (Commun. ACM, 2015)

Teaching Recommender Systems at Large Scale: Evaluation and Lessons Learned from a Hybrid MOOC. - Joseph A. Konstan; J. D. Walker; D. Christopher Brooks; Keith Brown; Michael D. Ekstrand (ACM Trans. Comput. Hum. Interact., 2015)

Early Activity Diversity: Assessing Newcomer Retention from First-Session Activity. - Raghav Pavan Karumur; Tien T. Nguyen; Joseph A. Konstan (CSCW, 2016)

Precision CrowdSourcing: Closing the Loop to Turn Information Consumers into Information Contributors. - Qian Zhao; Zihong Huang; F. Maxwell Harper; Loren G. Terveen; Joseph A. Konstan (CSCW, 2016)

Exploring the Value of Personality in Predicting Rating Behaviors: A Study of Category Preferences on MovieLens. - Raghav Pavan Karumur; Tien T. Nguyen; Joseph A. Konstan (RecSys, 2016)

Gaze Prediction for Recommender Systems. - Qian Zhao; Shuo Chang; F. Maxwell Harper; Joseph A. Konstan (RecSys, 2016)

Relating Newcomer Personality to Survival and Activity in Recommender Systems. - Raghav Pavan Karumur; Joseph A. Konstan (UMAP, 2016)

The MovieLens Datasets: History and Context. - F. Maxwell Harper; Joseph A. Konstan (ACM Trans. Interact. Intell. Syst., 2016)

A Community Rather Than A Union: Understanding Self-Organization Phenomenon on MTurk and How It Impacts Turkers and Requesters. - Xinyi Wang; Haiyi Zhu; Yangyun Li; Yu Cui; Joseph A. Konstan (CHI Extended Abstracts, 2017)

Toward Better Interactions in Recommender Systems: Cycling and Serpentining Approaches for Top-N Item Lists. - Qian Zhao; Gediminas Adomavicius; F. Maxwell Harper; Martijn C. Willemsen; Joseph A. Konstan (CSCW, 2017)

In-Video Reuse of Discussion Threads in MOOCs. - Qian Zhao; Sashank Varma; Joseph A. Konstan (L@S, 2017)

Understanding How People Use Natural Language to Ask for Recommendations. - Jie Kang; Kyle Condiff; Shuo Chang; Joseph A. Konstan; Loren G. Terveen; F. Maxwell Harper (RecSys, 2017)

Towards Performance Modeling and Performance Prediction across IR/RecSys/NLP (Dagstuhl Perspectives Workshop 17442). - Nicola Ferro 001; Norbert Fuhr; Gregory Grefenstette; Joseph A. Konstan (Dagstuhl Reports, 2017)

What surprises does your past have for you? - Fernando Mourão; Leonardo Rocha 001; Camila Souza Araujo; Wagner Meira Jr.; Joseph A. Konstan (Inf. Syst., 2017)

The Effect of Emotional Cues from the NFL on Wikipedia Contributions. - Weiwen Leung; Haiyi Zhu; Joseph A. Konstan (Proc. ACM Hum. Comput. Interact., 2017)

Simulation Experiments on (the Absence of) Ratings Bias in Reputation Systems. - Jacob Thebault-Spieker; Daniel Kluver; Maximilian A. Klein; Aaron Halfaker; Brent J. Hecht; Loren G. Terveen; Joseph A. Konstan (Proc. ACM Hum. Comput. Interact., 2017)

An Algorithmic Framework for Performing Collaborative Filtering. - Jonathan L. Herlocker; Joseph A. Konstan; Al Borchers; John Riedl (SIGIR Forum, 2017)

Content is King, Leadership Lags: Effects of Prior Experience on Newcomer Retention and Productivity in Online Production Groups. - Raghav Pavan Karumur; Bowen Yu 001; Haiyi Zhu; Joseph A. Konstan (CHI, 2018)

Risk "Attention" or "Adventure": A Qualitative Study of Novelty and Familiarity in Music Listening. - Vikas Kumar; Sabirat Rubya; Joseph A. Konstan; Loren Terveen (IntRS@RecSys, 2018)

Interpreting user inaction in recommender systems. - Qian Zhao; Martijn C. Willemsen; Gediminas Adomavicius; F. Maxwell Harper; Joseph A. Konstan (RecSys, 2018)

Investigating serendipity in recommender systems based on real user feedback. - Denis Kotkov; Joseph A. Konstan; Qian Zhao; Jari Veijalainen (SAC, 2018)

Movieexplorer: building an interactive exploration tool from ratings and latent taste spaces. - Taavi T. Taijala; Martijn C. Willemsen; Joseph A. Konstan (SAC, 2018)

Explicit or implicit feedback? engagement or satisfaction?: a field experiment on machine-learning-based recommender systems. - Qian Zhao; F. Maxwell Harper; Gediminas Adomavicius; Joseph A. Konstan (SAC, 2018)

Toward sustainable access: where are we now? - Jack W. Davidson; Joseph A. Konstan; Andrew A. Chien; Scott E. Delman (Commun. ACM, 2018)

From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442). - Nicola Ferro 001; Norbert Fuhr; Gregory Grefenstette; Joseph A. Konstan; Pablo Castells; Elizabeth M. Daly; Thierry Declerck; Michael D. Ekstrand; Werner Geyer; Julio Gonzalo; Tsvi Kuflik; Krister Lindén; et al. (Dagstuhl Manifestos, 2018)

Personality, User Preferences and Behavior in Recommender systems. - Raghav Pavan Karumur; Tien T. Nguyen; Joseph A. Konstan (Inf. Syst. Frontiers, 2018)

User Personality and User Satisfaction with Recommender Systems. - Tien T. Nguyen; F. Maxwell Harper; Loren Terveen; Joseph A. Konstan (Inf. Syst. Frontiers, 2018)

How self-disclosure in Twitter profiles relate to anonymity consciousness and usage objectives: a cross-cultural study. - Tomu Tominaga; Yoshinori Hijikata; Joseph A. Konstan (J. Comput. Soc. Sci., 2018)

The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. - Nicola Ferro 001; Norbert Fuhr; Gregory Grefenstette; Joseph A. Konstan; Pablo Castells; Elizabeth M. Daly; Thierry Declerck; Michael D. Ekstrand; Werner Geyer; Julio Gonzalo; Tsvi Kuflik; Krister Lindén; et al. (SIGIR Forum, 2018)

Rating-Based Collaborative Filtering: Algorithms and Evaluation. - Daniel Kluver; Michael D. Ekstrand; Joseph A. Konstan (Social Information Access, 2018)

Teaching UI Design at Global Scales: A Case Study of the Design of Collaborative Capstone Projects for MOOCs. - Hao Fei Cheng; Bowen Yu 001; Siwei Fu; Jian Zhao 010; Brent J. Hecht; Joseph A. Konstan; Loren Terveen; Svetlana Yarosh; Haiyi Zhu (L@S, 2019)

Towards More Impactful Recommender Systems Research. - Dietmar Jannach; Oren Sar Shalom; Joseph A. Konstan (ImpactRS@RecSys, 2019)

From preference into decision making: modeling user interactions in recommender systems. - Qian Zhao; Martijn C. Willemsen; Gediminas Adomavicius; F. Maxwell Harper; Joseph A. Konstan (RecSys, 2019)

Recommender Systems Notation: Proposed Common Notation for Teaching and Research. - Michael D. Ekstrand; Joseph A. Konstan (CoRR, 2019)

Second Workshop on the Impact of Recommender Systems at ACM RecSys '20. - Oren Sar Shalom; Dietmar Jannach; Joseph A. Konstan (RecSys, 2020)

ACM publications finances. - Jack W. Davidson; Joseph A. Konstan; Scott E. Delman (Commun. ACM, 2020)

Developing a Recommendation Benchmark for MLPerf Training and Inference. - Carole-Jean Wu; Robin Burke; Ed H. Chi; Joseph A. Konstan; Julian J. McAuley; Yves Raimond; Hao Zhang (CoRR, 2020)

Towards an Experimental News User Community as Infrastructure for Recommendation Research (abstract). - Joseph A. Konstan; Robin Burke; Edward C. Malthouse (INRA@RecSys, 2021)

Toward the Next Generation of News Recommender Systems. - Himan Abdollahpouri; Edward C. Malthouse; Joseph A. Konstan; Bamshad Mobasher; Jeremy Gilbert (WWW (Companion Volume), 2021)

Human-Centered Recommender Systems: Origins, Advances, Challenges, and Opportunities. - Joseph A. Konstan; Loren G. Terveen (AI Mag., 2021)

ACM publications finances for 2020. - Jack W. Davidson; Joseph A. Konstan; Scott E. Delman (Commun. ACM, 2021)

Learning to Ignore: A Case Study of Organization-Wide Bulk Email Effectiveness. - Ruoyan Kong; Haiyi Zhu; Joseph A. Konstan (Proc. ACM Hum. Comput. Interact., 2021)

Re-envisioning a K-12 Early Warning System with School Climate Factors. - Mengchen Su; Lukas A. Olson; Daniel C. Jarratt; Sashank Varma; Joseph A. Konstan; Rebecca J. L. Keller; Bodong Chen (L@S, 2022)

RecWork: Workshop on Recommender Systems for the Future of Work. - Joseph A. Konstan; Ajith Muralidharan; Ankan Saha; Shilad Sen; Mengting Wan; Longqi Yang (RecSys, 2022)

A chronology of SIGCHI conferences: 1983 to 2022. - Neha Kumar 001; Julie A. Adams; Bill Buxton; Linda Candy; Pablo César; Leigh Clark; Benjamin R. Cowan; Anind K. Dey; Phoebe O. Toups Dugas; Ernest A. Edmonds; Michael A. Goodrich; Mark Green 001; et al. (Interactions, 2022)

Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment. - Ruoyan Kong; Charles Chuankai Zhang; Ruixuan Sun; Vishnu Chhabra; Tanushsrisai Nadimpalli; Joseph A. Konstan (Proc. ACM Hum. Comput. Interact., 2022)

Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models. - Ruoyan Kong; Ruixuan Sun; Charles Chuankai Zhang; Chen Chen 109; Sneha Patri; Gayathri Gajjela; Joseph A. Konstan (ETRA, 2023)

The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens. - Guy Aridor; Duarte Gonçalves; Daniel Kluver; Ruoyan Kong; Joseph A. Konstan (EC, 2023)

Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems. - Ruixuan Sun; Ruoyan Kong; Qiao Jin 002; Joseph A. Konstan (UMAP (Adjunct Publication), 2023)

Organizational Bulk Email Systems: Their Role and Performance in Remote Work. - Ruoyan Kong; Haiyi Zhu; Joseph A. Konstan (CoRR, 2023)

Six Human-Centered Artificial Intelligence Grand Challenges. - Özlem Özmen Garibay; Brent Winslow; Salvatore Andolina; Margherita Antona; Anja Bodenschatz; Constantinos K. Coursaris; Gregory Falco; Stephen M. Fiore; Ivan Garibay; Keri Grieman; John C. Havens; Marina Jirotka; et al. (Int. J. Hum. Comput. Interact., 2023)

After the Complaint: What Should ACM Disclose? - Marty J. Wolf; Joseph A. Konstan; Helena M. Mentis; Jane Prey; Harald Störrle (Commun. ACM, 2023)

Introduction to the Special Issue on AI, Decision-Making, and the Impact on Humans. - Salvatore Andolina; Joseph A. Konstan (Int. J. Hum. Comput. Interact., 2023)

What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders. - Ruixuan Sun; Xinyi Wu; Avinash Akella; Ruoyan Kong; Bart P. Knijnenburg; Joseph A. Konstan (IntRS@RecSys, 2024)

The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems. - Guy Aridor; Duarte Gonçalves; Ruoyan Kong; Daniel Kluver; Joseph A. Konstan (RecSys, 2024)

Conducting Recommender Systems User Studies Using POPROX. - Robin Burke; Joseph A. Konstan; Michael D. Ekstrand (RecSys, 2024)

COVID-19 as Reflected in University President Bulk Email. - Ruoyan Kong; Charles Chuankai Zhang; Jin Kang; Haiyi Zhu; Joseph A. Konstan (CoRR, 2024)

What Are We Optimizing For? A Human-centric Evaluation Of Deep Learning-based Recommender Systems. - Ruixuan Sun; Avinash Akella; Xinyi Wu; Ruoyan Kong; Joseph A. Konstan (CoRR, 2024)

Large Language Models as Conversational Movie Recommenders: A User Study. - Ruixuan Sun; Xinyi Li; Avinash Akella; Joseph A. Konstan (CoRR, 2024)

Supporting Organizations in Improving Employee Bulk E-mail - A Tool Design and Evaluation Study. - Ruoyan Kong; Ruixuan Sun; Charles Chuankai Zhang; Ye Yuan 010; Joseph A. Konstan (Proc. ACM Hum. Comput. Interact., 2024)

Do Know Harm: Considering the Ethics of Online Community Research. - Stevie Chancellor; Joseph A. Konstan; Loren Terveen; Svetlana Yarosh (Commun. ACM, 2024)

Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment. - Ruixuan Sun; Avinash Akella; Ruoyan Kong; Moyan Zhou; Joseph A. Konstan (Int. J. Hum. Comput. Interact., 2024)

Multi-Prompting Scenario-based Movie Recommendation with Large Language Models: Real User Case Study. - Ruixuan Sun; Xinyi Li; Avinash Akella; Joseph A. Konstan (CHI Extended Abstracts, 2025)

Why They Come And Go: A Case Study of Productive Flyby Users and Their Rating Integrity Challenge in Movie Recommenders. - Ruixuan Sun; Ruoyan Kong; Ashlee Milton; Daniel Kluver; Ian Paterson; Joseph A. Konstan (CHIIR, 2025)

Beyond the Individual: A Community-Engaged Framework for Ethical Online Community Research. - Matthew Zent; Seraphina Yong; Dhruv Bala; Stevie Chancellor; Joseph A. Konstan; Loren Terveen; Svetlana Yarosh (CoRR, 2025)