| 2020 | CIKM | Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. | Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao |
| 2020 | ICASSP | Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging. | Qingqing Huang, Aren Jansen, Li Zhang, Daniel P. W. Ellis, Rif A. Saurous, John R. Anderson |
| 2020 | RecSys | Neural Collaborative Filtering vs. Matrix Factorization Revisited. | Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson |
| 2019 | CogSci | Skill Acquisition in a Dynamic Collaborative Task. | Cvetomir Dimov, John R. Anderson, Shawn A. Betts, Daniel Bothell |
| 2019 | ICLR | Efficient Training on Very Large Corpora via Gramian Estimation. | Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson |
| 2019 | SC | High performance Monte Carlo simulation of ising model on TPU clusters. | Kun Yang, Yi-Fan Chen, Georgios Roumpos, Chris Colby, John R. Anderson |
| 2017 | CogSci | The impact of practice frequency on learning and retention. | Caitlin Tenison, John R. Anderson |
| 2017 | CogSci | A Spatial-Temporal Analysis of a Visual Working Memory Task with EEG and ECoG. | Qiong Zhang, Marieke K. van Vugt, Jelmer P. Borst, John R. Anderson |
| 2017 | RecSys | Folding: Why Good Models Sometimes Make Spurious Recommendations. | Doris Xin, Nicolas Mayoraz, Hubert Pham, Karthik Lakshmanan, John R. Anderson |
| 2017 | WWW | Beyond Globally Optimal: Focused Learning for Improved Recommendations. | Alex Beutel, Ed Huai-hsin Chi, Zhiyuan Cheng, Hubert Pham, John R. Anderson |
| 2016 | CogSci | From computation to automization: How practice alters initial neural response to familiar arithmetic problems. | Caitlin Tenison, John R. Anderson |
| 2015 | CogSci | An ACT-R Model of the Choose-Short Effect in Time and Length. | Jung Aa Moon, John R. Anderson |
| 2015 | CogSci | Consistency in Brain Activation Predicts Success in Transfer. | Qiong Zhang, John R. Anderson, Robert E. Kass |
| 2014 | CogSci | Detecting Changes in Math Strategy Use During Learning. | Caitlin Tenison, John R. Anderson |
| 2013 | CogSci | Discovering Processing Stages by combining EEG with Hidden Markov Models. | Jelmer P. Borst, John R. Anderson |
| 2013 | CogSci | Acquiring Basic Skills in Changing Task Environments: Transfer of Working Memory Updating. | Trudy Buwalda, Aryn Pyke, Shawn A. Betts, Niels Taatgen, John R. Anderson |
| 2013 | EDM | Discovering the Structure of Mathematical Problem Solving. | John R. Anderson |
| 2012 | CogSci | Modeling Millisecond Time Interval Estimation in Space Fortress Game. | Jung Aa Moon, John R. Anderson |
| 2011 | CogSci | When does provision of instruction promote learning? | Hee Seung Lee, Abraham R. Anderson, Shawn A. Betts, John R. Anderson |
| 2011 | CogSci | Using a Cognitive Model to Provide Instruction for a Dynamic Task. | Jung Aa Moon, Daniel Bothell, John R. Anderson |
| 2010 | EDM | Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System. | Jon M. Fincham, John R. Anderson, Shawn A. Betts, Jennifer L. Ferris |
| 2001 | CHI | What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing. | Mon-Chu Chen, John R. Anderson, Myeong-Ho Sohn |
| 2001 | CHI | Locus of feedback control in computer-based tutoring: impact on learning rate, achievement and attitudes. | Albert T. Corbett, John R. Anderson |
| 2000 | CHI | Intelligent gaze-added interfaces. | Dario D. Salvucci, John R. Anderson |
| 2000 | ICML | Achieving Efficient and Cognitively Plausible Learning in Backgammon. | Scott Sanner, John R. Anderson, Christian Lebiere, Marsha C. Lovett |
| 2000 | ITS | Broader Bandwidth in Student Modeling: What if ITS were "Eye"TS? | Kevin A. Gluck, John R. Anderson, Scott Douglass |
| 1999 | CHI | Eye Tracking the Visual Search of Click-Down Menus. | Michael D. Byrne, John R. Anderson, Scott Douglass, Michael Matessa |
| 1999 | CHI | Third generation computer tutors: learn from or ignore human tutors? | Albert T. Corbett, John R. Anderson, Arthur C. Graesser, Kenneth R. Koedinger, Kurt VanLehn |
| 1998 | ITS | Instructional Applications of ACT: Past, Present, and Future. | John R. Anderson |
| 1998 | ITS | Deconstructing a Computer-Based Tutor: Striving for Better Learning Efficiency in Stat Lady. | Kevin A. Gluck, Valerie J. Shute, John R. Anderson, Marsha C. Lovett |
| 1997 | SIGGRAPH | digital Smoke. | John R. Anderson |
| 1992 | ITS | Intelligent Tutoring and High School Mathematics. | John R. Anderson |
| 1992 | ITS | The Advantages of Data Flow Diagrams for Beginning Programming. | K. S. R. Anjaneyulu, John R. Anderson |
| 1992 | ITS | Student Modeling and Mastery Learning in a Computer-Based Proramming Tutor. | Albert T. Corbett, John R. Anderson |
| 1990 | ICML | A Rational Analysis of Categorization. | John R. Anderson, Michael Matessa |
| 1985 | IJCAI | The Geometry Tutor. | John R. Anderson, C. Franklin Boyle, Gregg Yost |
| 1985 | IJCAI | Dynamic Student Modelling in an Intelligent Tutor for LISP Programming. | Brian J. Reiser, John R. Anderson, Robert G. Farrell |
| 1984 | AAAI | An Interactive Computer-Based Tutor for LISP. | Robert G. Farrell, John R. Anderson, Brian J. Reiser |
| 1983 | IJCAI | Learning to Program. | John R. Anderson |
| 1981 | IJCAI | A Theory of Language Acquisition Based on General Learning Principles. | John R. Anderson |
| 1981 | IJCAI | Tuning of Search of the Problem Space for Geometry Proofs. | John R. Anderson |
| 1979 | IJCAI | A Learning System and Its Psychological Implications. | John R. Anderson, Paul J. Kline |
| 1979 | IJCAI | Use of Thematic Information to Speed Search of Semantic Nets. | Lynne M. Reder, John R. Anderson |