Pearl Pu

Head of Group
School of Computer and Communication Sciences
Ecole Polytechnique Fédérale de Lausanne (EPFL)

Postal Address
BC 107 (Bâtiment BC)
Station 14, CH-1015 Lausanne, Switzerland

Tel: +41 21 69 36081
Email: pearl dot pu at epfl dot ch

Area of Interest

My research is multi-disciplinary and focuses on issues at the intersection of human-computer interaction, artificial intelligence, and behavioral science. I am especially interested in user modeling and building personalized decision support tools, including recommender systems. Recently I became also interested in sentiment analysis in social media.

Education

  • Ph.D. in Computer and Information Sciences. University of Pennsylvania, Philadelphia, U.S.A.
  • M.S.E. in Computer and Information Sciences. University of Pennsylvania, Philadelphia, U.S.A.
  • B.S. in Computer Science and Mathematics. Queens College, The City University of New York, U.S.A.
  • ZheJiang University, China, September 1979.
  • Beijiao High School, Shanghai, China, 1974 – 1979.

Employment

  • Maître d’enseignement et de recherche (MER), School of Computer and Communication Sciences, EPFL, Switzerland. 2008 – present
  • Visiting Scholar, Department of Computer Science and Engineering, Hong Kong University of Science and Technology. January – June 2010
  • Research Scientist and lecturer (chargée de cours), School of Computer and Communication Sciences, EPFL, Switzerland. 2000 – 2007
  • Visiting Scholar, Stanford University, California, USA. January 2001 – June 2001
  • Research Scientist and lecturer (chargée de cours), Microengineering Department, EPFL, Switzerland. 1993 – 2000
  • Visiting Professor, Artificial Intelligence Laboratory, Computer Science Department, EPFL, Switzerland. January 1992 – August 1992
  • Assistant Professor, University of Connecticut, Computer Science Department, September 1988 – August 1993

Major Roles in Scientific Communities

  • Member of the Steering Committee for ACM International Conference on Recommender Systems.
  • Track Chair on Behavioral Analysis and Personalization, WWW 2014, April 7-11, 2014, Seoul, South Korea.
  • Program Co-Chair of the 2013 ACM Conference on Recommender Systems, Oct 12 -16, 2013, Hong Kong, China.
  • Track Chair on Behavioral Analysis and Personalization, WWW 2012, April 16-20, 2012, Lyon, France.
  • Area Chair for the International Joint Conference on Artificial Intelligence, July 16-22, 2011, Barcelona, Spain.
  • General Chair for the ACM Conference on Intelligent User Interfaces, February 13-16, 2011, Palo Alto, California.
  • Program Co-Chair for the 10th ACM Conference on Electronic Commerce, July 6-10, 2009, Stanford, California.
  • General Chair for the 2008 ACM International Conference on Recommender Systems, October 23-26, 2008, Lausanne, Switzerland.
  • Program Co-Chair for the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems 2008 (AH 2008), July 28- August 1, 2008, Hanover, Germany.
  • Associate Chair for Short papers at the ACM Conference on Computer/Human Interaction 2007 (CHI07), April 28 – May 3, 2007, San Jose, California.
  • Program Chair for Short Papers at the ACM Conference on Recommender Systems (RecSys07), October 19-20, 2007, Minneapolis, Minnesota.
  • Tutorial Chair for the ACM International Conference on Intelligent User Interfaces (IUI07), 2007.
  • Publicity Chair for the ACM International Conference on Intelligent User Interfaces (IUI07), 2007.
  • Conference program chair for the IFIP TC2/WG2.6 Sixth Working Conference on Visual Database Systems, 2002.

Editorial and Panel Activities

  • Served as a member of the Panel for the ERC Starting Grant in PE6 (computer science) for two years, as well as being a regular evaluator for the Swiss National Science Foundation and National Science Foundation in the US.
  • Editorial board of the UMUAI journal (user modeling and user-adapted interaction), which received 3.1 from Thomson in 2011, from 2009 until present
  • Editorial board of The AI Magazine, which circulates among all members of the AAAI (Association for the Advancement of Artificial Intelligence), from 2012 until present
  • Editorial board of the ACM Transactions on Interactive Intelligent Systems (TIIS), a premier and unique venue for research results that combines HCI and AI, from 2012 until present
  • Editorial board of IEEE Multimedia (two years)

Prizes and Academic Honors

  • Four ACM awards for contribution to the scientific communities
  • Three best paper awards
  • One best video award
  • Research Initiation Award from National Science Foundation in US, which is comparable to the ERC starting grants
  • 13 Research Awards from Swiss National Science Foundation (sole PI in 11)
  • 3 Technology Transfer Awards from the Swiss Commission of Technology and Innovation Agency

Diploma and Doctoral Students

Ph.D. Students

  • Onur Yuruten, Recommender Systems for Preventive Health Care, started in 2012.
  • Lionel Martin, Group Influence in Group Recommender Systems, started in 2013.
  • Valentina Sintsova, Emotion Recognition and Sentiment Analysis in Text, started in 2011.
  • Marina Boia, Context Aware Recommender Systems, started in 2011.
    Chen Yu, Novel Interfaces and Interaction Methods for Social Media Systems, started 2010.
  • (2011) Rong Hu, Design and User Perception Issues for Personality-Engaged Recommender Systems.
  • (2010) Nicolas Jones, User Perceived Qualities and Acceptance of Recommender Systems: The Role of Diversity.
  • (2008) Jiyong Zhang, Design and Evaluation Issues for User-Centric Online Product Search.
  • (2008) Li Chen, User Decision Improvement and Trust Building in Product Recommender Systems.
  • (2007) Paolo Viappiani (co-advisor), Preference-based Search with Suggestions.
  • (2004) Paul Janecek, Semantic Fisheye View for Accessing and Retrieving Multimedia Information.
  • (2002) Zoran Pecenovic (co-advisor), Multimedia Retrieval: indexing, user interaction, and communication issues.
  • (2000) George Melissargos. Interactive Visualization for Resource Allocation Tasks, Computer Science Department.
  • (1998) Denis Lalanne. Comind: Computer-aided Creativity for Multi-criteria Search in Design, Microengineering Department, Swiss Federal Institute of Technology in Lausanne, Switzerland.
  • (1995) Lisa Purvis. Intelligent Design Problem Solving using Case-based and Constraint-based Reasoning, Department of Computer Science and Engineering, Storrs, Connecticut.

Master Thesis Students

  • 2014 Alexandre Margot, Visualisation Of User Engagement In Mobile/ Online Applications In Three-Dimensional Space Using HTML5 Technologies
  • 2014 Oriane Rodriguez, Developpement de l’Ardoise de Garde Medical
  • 2013 Elodie Nilane Triponez, Realite Hybride a l’Echelle de la Planete
  • 2013 Mathieu Habegger, MediaAlert: Automated Data Collection, Aggregation and Analysis for Music Scheduling in Radio
  • 2012 Lionel Martin, Intelligent Filtering for Graph Visualization
  • 2009 Maoan Zhou, A Comparitive Study of Clustering Methods in Recommender Systems
  • 2006 David Poirier Quesnel, Master Thesis, Human Machine Interface for Equipment Control Devices, in collaboration with Secheron, SA
  • 2005 Grégory Delajoux, Master Thesis, User Interface Designer /Human Factors, Siemens Corporate Research, USA and EPFL
  • 2004 Yves Dubugnon, Master Thesis, Evaluation of Exploratory Data Analysis Tools with and without Semantic Fisheye View, EPFL
  • 2003 Simon Goumaz, Annotation d’Images dans les Collections Personnelles Digitales, EPFL
  • 2002 Punit Kumar Gupta, Master Thesis, Social Navigation of Information Space of Scientific Literature, EPFL and India Institute of Technology Guwahati, India
  • 2000 Patrick Hertzog. Interface using Multimodal Agents for a Recommendation System, EPFL
  • 2000 Andres Dubi, Master Thesis, Design and Implementation of Electronic Catalogs, EPFL
  • 2000 Thierry Jayet, Master Thesis, Catalogues de Solutions pour Conception de Produits Multiples, EPFL
  • 1996 Reto Kohlas, Master Thesis, A Cooperative System in Assembly Sequence Problem Solving, University of Fribourg
  • 1995 Frank Schnyder. Une Architexture Multi-Agents Pour l’Aide a la Definition d’une Conception, EPFL

Teaching Activities

Taught 5 Courses at EPFL

  • Introduction to Artificial Intelligence (40-60 students per year), a bachelor level course in French, 1994 – 1998. Microtechnique department, EPFL
  • Introduction to Human Computer Interaction (19-70 students per year), 1998 – present
  • USABLE: USability Analysis through Blended Learning (online, 300- 500 students per year), 2006 – 2008
  • Advanced Topics in HCI, 2011
  • Consumer decision making in online environments: theory and applications, 2005

Created 4 Courses at EPFL and Swiss Virtual Campus

  • My main contribution is the creation of the HCI course. I taught it since 1997.
  • I developed and taught two Ph.D. level courses: advanced HCI and consumer decision making in online environments.
  • In 2005, I created an online HCI course for Swiss Virtual Campus with two other universities in Switzerland

Taught 5 Courses in other universities

  • Introduction to Programming (> 50 students), 1983 – 1985, University of Pennsylvania (as a teacher)
  • Discrete Mathematics (30-40 students), 1988 – 1993, University of Connecticut
  • Symbolic Programming (30-40 students), 1988 – 1993, University of Connecticut
  • Knowledge Representation in Artificial Intelligence, 1989-1993, University of Connecticut
  • Constraint Satisfaction Problem Solving, 1992-1993, University of Connecticut

Technology Transfer

  • Between 1997 – 2000, I co-founded a start up company, Iconomic systems and served as the chairwoman until its sale to i:FAO, the number one business travel provider in Europe.
  • I am a board member of Eayun, Inc., a Chinese startup company created by my former student. Eayun provides cloud products and services to help enterprise customers build their cloud infrastructures.
  • Located next to Tshinghua University (the top university in China), it just finished its second round of investment with 15 million RMB.
    Example critiquing, a type of recommender technology, was incorporated into MovieLens, the first movie recommender system and the software technology that won the prestigious ACM Software System Award.
  • Example critiquing is being commercialized by Preddigo, a startup company providing recommender solutions with an average of 10 to 1 ROI every month. It has more than 40 business customers, all of them are online e-commerce website, including well-known retailers such as MediaMart, Richardo, Movenpick, and Payot.
  • I have co-advised and graduated four students who are founders and executives of startup companies specialized in recommender technology, information visualization, and personalized cloud services.

Publications

Journal articles

  • Zerrin Yumak and Pearl Pu. Survey of Sensor-Based Personal Wellness Management Systems. BioNanoScience, September 2013, Volume 3, Issue 3, pp 254-269.
  • Li Chen and Pearl Pu. Experiments on User Experiences with Recommender Interfaces. Behaviour & Information Technology. 2013.
  • Pearl Pu, Li Chen and Rong Hu. Evaluating Recommender Systems from the Users’ Perspective: Survey of the State of the Art. User Modeling and User-Adapted Interaction Journal (UMUAI), Vol.22, Issue 4, pages 317-355, 2012.
  • Li Chen and Pearl Pu. Critiquing-based recommenders: survey and emerging trends. User Modeling and User-Adapted Interaction Journal (UMUAI), Vol.22, Issue 1-2, pages 125-150, April 2012.
  • Li Chen and Pearl Pu. Experiments on the preference-based organization interface in recommender systems. ACM Transactions on Computer-Human Interaction (TOCHI), Vol. 17 Issue 1, pages 1-33, March 2010.
  • Li Chen and Pearl Pu. Interaction Design Guidelines on Critiquing-based Recommender Systems. User Modeling and User-Adapted Interaction Journal (UMUAI), vol. 19 (3), pages 167-206, 2009.
  • Paolo Viappiani, Pearl Pu, and Boi Faltings. Preference-based Search with Adaptive Recommendations. AI Communications, 21(2-3), pages 155-175, 2008.
  • Pearl Pu and Li Chen. User-Involved Preference Elicitation for Product Search and Recommender Systems. AI Magazine 29(4), pp. 93-103, Winter 2008.
  • Pearl Pu, Li Chen and Pratyush Kumar. Evaluating Product Search and Recommender Systems for E-Commerce Environments. Electronic Commerce Research Journal, 8(1-2), June, pages 1-27, 2008.
  • Pearl Pu and Li Chen. Trust-Inspiring Explanation Interfaces for Recommender Systems. Journal of Knowledge Based Systems, Elsevier Publishers, May 2007.
  • Paolo Viappiani, Boi Faltings, and Pearl Pu. Preference-based search using example-critiquing with suggestions. Journal of Artificial Intelligence Research(JAIR), 27, pages 465-503, 2006.
  • Jiyong Zhang and Pearl Pu. Performance Evaluation of Consumer Decision Support Systems. The International Journal of E-Business Research, Idea Group Publishing, 2(3), pages 28-45, 2006.
  • Paul Janecek and Pearl Pu. An Evaluation of Semantic Fisheye Views for Opportunistic Search in an Annotated Image Collection. Journal of Digital Libraries. Springer-Verlag. 5(1), pages 42-56, 2005.
  • Pearl Pu and Boi Faltings. Decision Tradeoff Using Example Critiquing and Constraint Programming. CONSTRAINTS: an International Journal. Kluwer Academic Publishers. 9 (4), pages 289-310, 2004.
  • Boi Faltings, Marc Torrens, and Pearl Pu. Solution Generation with Qualitative Models of Preferences. International Journal of Computational Intelligence and Applications. Blackwell publishing. Volume 20, Number 2, pages 246-264, May, 2004.
  • Marc Torrens, Boi Faltings and Pearl Pu. SmartClients: Constraint Satisfaction as a Paradigm for Scalable Intelligent Information Systems. CONSTRAINTS: an International Journal. Kluwer Academic Publishers. 7 (1), pages 49-69, 2002.
  • P. Pu and G. Melissargos. Visualizing Resource Allocation Tasks. IEEE Computer Graphics and Applications. IEEE Computer Society Press. 17 (4), pages 6-9, July/August 1997.
  • Boi Faltings and Pearl Pu. Imagery for open-world spatial problems. Computational Intelligence, special issue on Computational Imagery, 9 (4), pages 372-376, November 1993.
  • Pearl Pu. Simulating Both Dynamic and Kinematic Behaviors of Mechanisms. The International Journal for Artificial Intelligence in Engineering. 6 (3), pages 136-155, July, 1991.
  • Pearl Pu and Markus Reschberger. Assembly Sequence Planning using Case-Based Reasoning Techniques. Knowledge-Based Systems, Volume 4 No.3, pages 171-187, September 1991.
  • Pearl Pu. Intelligent CAD Systems: A Synergical Approach of Artificial Intelligence and Engineering. Computational Intelligence: An International Journal. Blackwell publishing. 6 (2), pages 81-90, May 1990.
  • Alberto Izaguirre, Pearl Pu, and John Summers. A New Development in Camera Calibration: Calibrating a Pair of Mobile Cameras. The International Journal of Robotics Research 6: 104-116, 1987.

Edited Books, Book Chapters, Guest Editor to Special Issues

  • Alexander Fulfaring, Robin Burke, and Pearl Pu (editors), Special Issue on Recommender Systems , User Modeling and User-Adapted Interaction (UMUAI), October 2012, Volume 22, Issue 4-5, pp 313-316.
  • Pearl Pu, Boi Faltings, Li Chen, Jiyong Zhang and Paolo Viappiani. Usability Guidelines for Product Recommenders based on Example Critiquing Research. In Recommender Systems Handbook, F. Ricci, L. Rokach, B. Shapira, P.B. Kantor, Eds. Springer, Chapter 16, pages 511-546, November 2010.
  • P. Pu, Q. Li, and Xiaofang Zhou (editors). Selected Papers from the Sixth IFIP 2.6 Working Conference on Visual Database Systems. The Journal of the World Wide Web, Kluwer Academic Publishers, May 2003.
  • Xiaofang Zhou and Pearl Pu (editors). Visual and Multimedia Information Management. Kluwer Academic Publishers, May 2002.
  • Mary Lou Maher and Pearl Pu (editors). Issues and Applications of Case-based Reasoning for Design, Lawrence Erlbaum Associates, Hillsdale, New Jersey, 1997.
  • P. Pu and L. Purvis. Formalizing the adaptation Process for Case-based Design. A chapter in Issues and Applications of Case-based Reasoning in Design. Lawrence Erlbaum Associates, New Jersey. Pages 221-240, 1997.
  • Pearl Pu (guest editor). Issues in Case-Based Design Systems. Artificial Intelligence in Engineering Design, Analysis and Manufacturing (AI EDAM), May 1993.
  • P. Pu and N.I. Badler. Design Knowledge Capture and Causal Simulation. A chapter in Intelligent CAD Systems, edited by Hiroyuki Yoshikawa and David Gossard, North-Holland, February 1989.
  • Pearl Pu and Norman I. Badler. Design Knowledge Capturing for Device Behavior Reasoning. A chapter in Artificial Intelligence in Engineering: Design, Computational Mechanics Publications, Southampton, Stanford, CA, pages 37-56, August 1988.

Peer-Reviewed Conference Papers

  • Renato Kempter, Valentina Sintsova, Claudiu Musat, and Pearl Pu. Discover Emotions in Tweets & Weibos during the 2012 Olympic Games. In Video Track of the 23rd International Joint Conference on Articifial Intelligence (IJCAI). Beijing, China, 2013. Best Video Award.
  • Valentina Sintsova, Claudiu Musat, and Pearl Pu. Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation. In Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), 12–20. Atlanta, Georgia: Association for Computational Linguistics, 2013.
  • George Popescu and Pearl Pu. What’s the Best Music You Have? Designing Music Recommendation for Group Enjoyment in GroupFun. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’12), Austin, TX, USA, May 05-10, 2012.
  • Pearl Pu, Li Chen and Rong Hu. A User-Centric Evaluation Framework for Recommender Systems. In Proceedings of the 5th ACM Conference on Recommender Systems (RecSys’11), pages 157 – 164, Chicago, IL, USA, October 23 – 27, 2011. (acceptance rate: 20%)
  • Rong Hu and Pearl Pu. Enhancing Collaborative Filtering Systems with Personality Information. In Proceedings of the 5th ACM Conference on Recommender Systems (RecSys’11), pages 197 – 204, Chicago, IL, USA, October 23 – 27, 2011.(acceptance rate: 27%)
  • Rong Hu and Pearl Pu. Helping Users Perceive Recommendation Diversity. In Proceedings of the 1st International Workshop on Novelty and Diversity in Recommender Systems (DiveRS’11), in conjunction with the 5th ACM Conference on Recommender Systems (RecSys’11), Chicago, IL, USA, October 23 – 27, 2011.
  • Li Chen and Pearl Pu. Users’ Eye Gaze Pattern in Organization-based Recommender Interfaces. In Proceedings of the 15th international conference on Intelligent user interfaces (IUI’11), pages 311-314, Palo Alto, California, USA, February 13 – 16, 2011.
  • Rong Hu and Pearl Pu. Enhancing Recommendation Diversity with Organization Interfaces. In Proceedings of the 15th international conference on Intelligent user interfaces (IUI’11), pages 347-350, Palo Alto, California, USA, February 13 – 16, 2011.
  • Castagnos, S., Jones, N., and Pu, P. Eye-tracking product recommenders’ usage. In Proceedings of the Fourth ACM Conference on Recommender Systems (RecSys’10), pages 29-36, Barcelona, Spain, Sept.26 – 30, 2010.(acceptance rate: 19.4%)
  • Rong Hu and Pearl Pu. Using Personality Information in Collaborative Filtering for New Users. In the 3rd ACM Conference on Recommender Systems (RecSys’10), the 2nd Workshop on Recommender Systems and the Social Web (RSWEB’10), Barcelona, Spain, Sept. 26-30, 2010.
  • Li Chen and Pearl Pu. Eye-Tracking Study of User Behavior in Recommender Interfaces. In: P. De Bra, A. Kobsa, and D. Chin (Eds.): UMAP 2010, LNCS 6075, pp. 375-380, Hawaii, USA, June 20-24, 2010. (acceptance rate: 20%)
  • Rong Hu and Pearl Pu. A Study on User Perception of Personality-Based Recommender Systems. In: P. De Bra, A. Kobsa, and D. Chin (Eds.): UMAP 2010, LNCS 6075, pp. 291-302, Hawaii, USA, June 20-24, 2010. (acceptance rate: 20%)
  • Sylvain Castagnos and Pearl Pu. Consumer Decision Patterns Through Eye Gaze Analysis. In proc. of the International Workshop on Eye Gaze in Intelligent Human Machine Interaction, in conjunction with the 2010 International Conference on Intelligent User Interfaces (IUI 2010), Hong Kong, February 2010.
  • Sylvain Castagnos, Nicolas Jones and Pearl Pu. Recommenders’ Influence on Buyers’ Decision Process. In proceedings of the 3rd ACM Conference on Recommender Systems (RecSys 2009), pages 361-364, New-York City, NY, USA, October 2009. (acceptance rate: 34%)
  • Rong Hu and Pearl Pu. Potential Acceptance Issues of Personality-based Recommender Systems. In proceedings of the 3rd ACM Conference on Recommender Systems (RecSys 2009), pages 221-224, New-York City, NY, USA, October 2009. (acceptance rate: 34%)
  • Pearl Pu, Maoan Zhou and Sylvain Castagnos. Critiquing Recommenders for Public Taste Products. In proceedings of the 3rd ACM Conference on Recommender Systems (RecSys 2009), pages 249-252, New-York City, NY, USA, October 2009. (acceptance rate: 34%)
  • Nicolas Jones, Pearl Pu and Li Chen. How Users Perceive and Appraise Personalized Recommendations. In proceedings of User Modeling, Adaptation, and Personalization Conference (UMAP 2009), Trento, Italy, 2009. LNCS 5535, pp. 461-466 (acceptance rate: 16.2%)
  • Rong Hu and Pearl Pu. A comparative user study on rating vs. personality quiz based preference elicitation methods. In Proceedings of the 13th international conference on Intelligent user interfaces (IUI2009), pages 367-372, Sanibel Island, Florida, USA, February 08 – 11, 2009.
  • Li Chen and Pearl Pu. A Cross-Cultural User Evaluation of Product Recommender Interfaces. Proceedings of ACM Recommender Systems Conference, Lausanne, Switzerland, October 23-25, 2008.
  • Jiyong Zhang, Nicolas Jones and Pearl Pu. A Visual Interface for Critiquing-based Recommender Systems. In Proceedings of ACM Conference on Electronic Commerce (EC’08), Chicago, Illinois, 2008.
  • Jiyong Zhang and Pearl Pu. Refining Preference-Based Search Results Through Bayesian Filtering. In Proceedings of the International Conference on Intelligent User Interfaces (IUI2007), pages 294-297, Hawaii, USA, January 28-31, 2007.
  • James Reilly, Jiyong Zhang, Lorraine McGinty, Pearl Pu and Barry Smyth. A Comparison of Two Compound Critiquing Systems. In Proceedings of the International Conference on Intelligent User Interfaces(IUI2007) , pages 317-320, Hawaii, USA, January 28-31, 2007.
  • Li Chen and Pearl Pu. The Evaluation of a Hybrid Critiquing System with Preference-based Recommendations Organization. In Proceedings of ACM Conference on Recommender Systems (RecSys’07), pages 169-172, Minneapolis, USA, October 19-20, 2007.
  • Paolo Viappiani, Pearl Pu and Boi Faltings. Conversational Recommenders with Adaptive Suggestions. In Proceedings of ACM Conference on Recommender Systems (RecSys’07), pages 89-96, Minneapolis, USA, October 19-20, 2007.
  • Jiyong Zhang and Pearl Pu. A Recursive Prediction Algorithm for Collaborative Filtering Recommender Systems. In Proceedings of ACM Conference on Recommender Systems (RecSys’07), pages 57-64, Minneapolis, USA, October 19-20, 2007.
  • Nicolas Jones and Pearl Pu. User Technology Adoption Issues in Recommender Systems. In Proceedings of Networking and Electronic Commerce Research Conference (NAEC2007), Lake Garda, Italy, October 18-21, 2007.
  • Barry O’Sullivan, Alexandre Papadopoulos, Boi Faltings and Pearl Pu. Representative Explanations for Over-Constrained Problems. In Proceedings of AAAI-2007, July 2007. (Acceptance rate 27%.)
  • Li Chen and Pearl Pu. Preference-Based Organization Interface: Aiding User Critiques in Recommender Systems. In Proceedings of International Conference on User Modeling (UM2007), Corfu, Greece, June 25-29, 2007. (Acceptance rate 19.6%.) Best Paper Award.
  • James Reilly, Jiyong Zhang, Lorraine McGinty, Pearl Pu and Barry Smyth. Evaluating Compound Critiquing Recommenders: A Real-User Study. In Proceedings of ACM Conference on Electronic Commerce (EC’07), pages 114-123, San Diego, USA, June 11-15, 2007. (Acceptance rate 27%.)
  • Li Chen and Pearl Pu. Hybrid Critiquing-based Recommender Systems. In Proceedings of International Conference on Intelligent User Interfaces (IUI2007), pages 22-31, Hawaii, USA, January 28-31, 2007. (Acceptance rate 22%.)
  • Li Chen and Pearl Pu. Evaluating Critiquing-based Recommender Agents. In Proceedings of Twenty-first National Conference on Artificial Intelligence (AAAI-06), pages 157-162, Boston, USA, July 16-20, 2006. (Acceptance rate 21%).
  • Paolo Viappiani, Boi Faltings and Pearl Pu. Evaluating Preference-based Search Tools: a Tale of Two Approaches. In Proceedings of the Twenty-first National Conference on Artificial Intelligence (AAAI-06), pages 205-210, Boston USA, July 16-20, 2006. (Acceptance rate 21%.)
  • Jiyong Zhang, Pearl Pu, and Boi Faltings. Agile Decision Agent for Service-Oriented E-Commerce Systems. In Proceedings of The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE’06), pages 182-189, IEEE Computer Society, June 2006. (Acceptance rate 26%.)
  • Jiyong Zhang and Pearl Pu. A Comparative Study of Compound Critique Generation in Conversational Recommender Systems. In Proceedings of the 4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH2006), volume 4018 of Lecture Notes in Computer Science, pages 234-243, Dublin, Ireland, June 2006. Springer. (Acceptance rate 18%.) Best Paper Award.
  • Pearl Pu, Paolo Viappiani and Boi Faltings. Increasing User Decision Accuracy Using Suggestions. In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI’06), Montreal, Canada, pages 121-130, April 22-27, 2006. (Acceptance rate 23%.)
  • Pearl Pu and Li Chen. Trust Building with Explanation Interfaces. In Proceedings of the 11 the International Conference on Intelligent User Interface (IUI’06), Sydney, Australia, page 93-100, January 29-February 1, 2006. (Acceptance rate 24%.)
  • Pearl Pu and Li Chen. Integrating Tradeoff Support in Product Search Tools for E-Commerce Sites. In Proceedings of the ACM Conference on Electronic Commerce (EC’05), Vancouver, Canada, pages 269-278, June 5-8, 2005. (Acceptance rate 28%.)
  • Paul Janecek and Pearl Pu. Opportunistic Search with Semantic Fisheye Views. In Proceedings of The Fifth International Conference on Web Information Systems Engineering (WISE2004), Brisbane, Australia, pages 668–680, November 22-24, 2004. (Acceptance rate 22.7%.).
  • Pearl Pu, Boi Faltings, and Marc Torrens. Effective Interaction Principles for Online Product Search Environments. In Proceedings of The IEEE/WIC/ACM International Joint Conference on Intelligent Agent Technology and Web Intelligence, pages 724-727, September 20-24, 2004. (Acceptance rate 16%.)
  • Pearl Pu and Pratyush Kumar. Evaluating Example-based Search Tools. In Proceedings of the ACM Conference on Electronic Commerce (EC’04), pages 208-217, May 17-20, 2004, New York, USA (acceptance rate 16%).
  • Boi Faltings, Pearl Pu, Marc Torrens, and Paolo Viappiani. Design Example-Critiquing Interaction. In Proceedings of the International Conference on Intelligent User Interface (IUI-2004), ACM Press, pages 22-29, Funchal, Madeira, Portugal, January 2004. (Acceptance rate 28%.)
  • Pearl Pu and Punit Gupta, Visualizing Reputation and Recommendation in Scientific Literature, In Proceedings of the 10th International Conference on Human – Computer Interaction (HCII ’03), Crete, Greece, Lawrence Erlbaum Associates, pages 1126-1130, June 2003.
  • Pearl Pu and Paul Janecek. Visual Interfaces for Opportunistic Information Seeking. In Proceedings of the 10th International Conference on Human – Computer Interaction ( HCII ’03 ), Crete, Greece, Lawrence Erlbaum Associates, pages 1131-1135, June 2003.
  • Punit Gupta and Pearl Pu. Social Cues and Awareness for Recommendation Systems. In Proceedings of the International Conference on Intelligent User Interfaces, ACM Press, pages 245-247, January 2003.
  • Paul Janecek and Pearl Pu. A Framework for Designing Fisheye Views to Support Multiple Semantic Contexts. In Proceedings of the International Conference on Advanced Visual Interfaces (AVI ’02), ACM Press, pages 51-58, 2002. (Acceptance rate 30%.)
  • Pu, P. and Faltings, B. Personalized Navigation of Heterogeneous Product Spaces using SmartClient. In Proceedings of the International Conference on Intelligent User Interfaces, ACM Press, pages 212-213, 2002.
  • Pearl Pu and Denis Lalanne. Design Visual Thinking Tools for Mixed Initiative Systems. In Proceedings of the International Conference on Intelligent User Interfaces, ACM Press, pages 119-126, 2002. (Acceptance rate 30%.)
  • Pearl Pu and Denis Lalanne. Interactive Problem Solving Via Algorithm Visualization. In Proceedings of the IEEE Symposium on Information Visualization 2000 (InfoVis 2000), pages 145-154, Salt Lake City, Utah, October 9-10, 2000. (Acceptance rate 26%.)
  • Zoren Pecenovic, Ming Do, Martin Vetterli and Pearl Pu. Integrated Browsing and Searching of Large Image Collections. In Proceedings of the Forth International Conference on Visual Information Systems, Springer Verlag series, pages 279-289, Lyon, France, November 2000.
  • Pearl Pu and Boi Faltings. Enriching Buyers’ experiences: the SmartClient Approach. In Proceedings of the ACM SIGCHI conference on Human Factors in Computing Systems, pages 289-296, The Hagues, April 2000 (acceptance rate 21%).
  • Gill Bornet dit Vorgea, Pearl Pu, Raymond Clavel, A. Csabai, F. Sprumont, P. Xirouchakis, and M.-T. Ivora. MicroCE: Computer-Aided Support for DFMA Conceptual Design Phase (CE2000). In Proceedings of the 7th ISPE international conference on concurrent engineering, Lyon, France, July 2000
  • Pearl Pu and Denis Lalanne. Human and Machine Collaboration in Creative Design. In Proceedings of the European Conference of Artificial Intelligence, Budapest, pages 276-282, August 1996. (Acceptance rate 29%.)
  • Lisa Purvis and Pearl Pu. Adaptation Using Constraint Satisfaction Techniques. In Proceedings of the International Conference on Case-based Reasoning, Sesimbra, Portugal, pages 289-300, October 1995.
  • Pearl Pu and Lisa Purvis. Assembly Planning Using Case Adaptation Methods. In Proceedings of the IEEE International Conference on Robotics and Automation, vol 1, pages 982-987, Nagoya, Japan, May 1995.
  • Pearl Pu and James D. Hughes. Integrating AGV Schedules in a Scheduling System for Flexible Manufacturing Environment. In Proceedings of the 1994 IEEE International Conference on Robotics and Automation, pages 3149-3154, May 8-3, 1994, San Diego, California.
  • Pearl Pu and Lisa Purvis. Formalizing Case Adaptation in a Case-based Design System. In Proceedings of the Third International Conference on Artificial Intelligence in Design (AID94), pages 77-91, August 15-18, 1994, Lausanne, Switzerland.
  • Pearl Pu and Ye Huang. Crossroads Diagnosis. In Proceedings of the European Conference of Artificial Intelligence, pages 704-708, August 1992, Vienna, Austria.
  • Pearl Pu. An Assembly Sequence Generation Algorithm using Case-based Search Techniques. In Proceedings of the 1992 IEEE International Conference on Robotics and Automation, pages 2425-2430, May 1992, Nice, France.
  • Boi Faltings and Pearl Pu. Applying Means-Ends Analysis to Spatial Planning. In Proceedings of the Intelligent Robotics and Systems’91, Osaka, Japan, pages 80-85, November 3-5, 1991.
  • Pearl Pu and Markus Reschberger. Assembly Sequence Planning Using Case-based Reasoning Techniques. In Proceedings of the First International Conference on Artificial Intelligence in Design, Edinburgh, United Kingdom, June 24-27, 1991. Best Paper Award.
  • Pearl Pu and Markus Reschberger. Case-based Assembly Planning. In Proceedings of the DARPA Workshop on Case-based Reasoning, Washington, D.C., pages 245-254, May 8-10, 1991. (This venue was considered a peer-reviewed conference.)
  • Pearl Pu. Extending the Device-Oriented Qualitative Simulation Method to Mechanical Devices. In Proceedings of the Fifth IEEE Conference on Artificial Intelligence Applications, Miami, Florida, pages 29-36, March 1989.
  • Alberto Izaguirre, Pearl Pu, and John Summers. A New Development in Camera Calibration: Calibrating a pair of Mobile Cameras. In Proceedings of the IEEE International Conference on Robotics and Automation, 2: 34-38, March 1985.

Peer reviewed workshop and Symposia papers

  • Rong Hu and Pearl Pu. Exploring Relations between Personality and User Rating Behaviors. In Proceedings of the 1st Workshop on Emotions and Personality in Personalized Services (EMPIRE’13), in conjunction with the 21st Conference on User Modeling, Adaptation and Personalization (UMAP’13), Rome, Italy, June 10, 2013.
  • Yu Chen and Pearl Pu. CoFeel: Emotional Social Interface in Group Recommender Systems. In Proceeding of RecSys’12 Workshop on Interfaces for Recommender Systems, in conjunction with the 6th ACM Conference on Recommender Systems (RecSys’12), Dublin, Ireland, Sept. 9 – 13, 2012.
  • Zerrin Yumak-Kasap, Yu Chen and Pearl Pu. EmoSoNet: An Emotion-aware Social Network for Emotional Wellbeing. In Proceedings of ACM SIGCHI 2012 Workshop on Interaction Design and Emotional Wellbeing, Austin, TX, USA, May 05-10, 2012.
  • George Popescu and Pearl Pu. Probabilistic Game Theoretic Algorithms for Group Recommender Systems. In Proceeding of the Workshop on Workshop on Music Recommendation and Discovery (WOMRAD’11), in conjunction with the 5th ACM Conference on Recommender Systems (RecSys’11), Chicago, USA, Oct. 23 – 27, 2011.
  • Yu Chen and Pearl Pu. Do You Feel How We Feel? An Affective Interface in Social Group Recommender Systems. In Procedding of the 3rd Workshop on Recommender Systems and the Social Web (RSWEB’11), in conjunction with the 5th ACM Conference on Recommender Systems (RecSys’11), Chicago, USA, Oct. 23 – 27, 2011.
  • Pearl Pu and Li Chen. A User-Centric Evaluation Framework of Recommender Systems. In the 3rd ACM Conference on Recommender Systems (RecSys’10), Workshop on User-Centric Evaluation of Recommender Systems and Their Interfaces (UCERSTI’10), Barcelona, Spain, Sept. 26-30, 2010.
  • Li Chen and Pearl Pu. Trust Building in Recommender Agents. In Proceedings of the Workshop on Web Personalization, Recommender Systems and Intelligent User Interfaces at the 2nd International Conference on E-Business and Telecommunication Networks (ICETE’05), pp.135-145, Reading, UK, October 3-7, 2005.
  • Paolo Viappiani, Boi Faltings, and Pearl Pu. Stimulating Preferences Expression using Suggestions. In Proceedings of the AAAI Fall Symposia, pages 128-133, November 3-6, Arlington, Virginia, 2005.
  • Jiyong Zhang and Pearl Pu. Effort and Accuracy Analysis of Choice Strategies for Electronic Product Catalogs. In proceedings of the 20th ACM Symposium on Applied Computing (SAC-2005), track on E-Commerce Technologies, Santa Fe, New Mexico, pages 808-814, March 13 -17, 2005.
  • Paolo Viappiani, Boi Faltings, Vincent Schikel Zuber and Pearl Pu. Stimulating Preference Expression Using Suggestions. In workshop notes of the IJCAI-05 Multidisciplinary Workshop on Advances in Preference Handling, Edinburgh, Scotland, pages 186-191, Aug, 2005.
  • Patrick Hertzog, Marc Torrens, Pearl Pu and Boi Faltings. Context-aware Computing for Business Traveler Care. In Proceedings of the IADIS International Conference on Applied Computing, Lisbon, Portugal. March 23-26, 2004.
  • Marc Torrens, Patrick Hertzog, Pearl Pu and Boi Faltings. Towards an Intelligent Mobile Travel Assistant. In Proceedings of the Nineteenth ACM Symposium on Applied Computing (SAC-2004), Nicosia, Cyprus, pages 1208-1209, March 14-17, 2004 (acceptance rate 36%).
  • Paul Janecek and Pearl Pu. Searching with Semantics: An Interactive Visualization Technique for Exploring an Annotated Image Collection. In Proceedings of the Workshop on Human Computer Interfaces for Semantic Web and Web Applications (HCI-SWWA ’03), Springer-Verlag, pages 185-196, November 2003.
  • Pearl Pu, Pratyush Kumar and Boi Faltings. User-Involved Tradeoff Analysis in Configuration Tasks. In workshop notes, Third International Workshop on User-Interaction in Constraint Satisfaction, Ninth International Conference on Principles and Practice of Constraint Programming, pages 85-102, 2003.
  • Pearl Pu, Boi Faltings, and Marc Torrens. User-Involved Preferences Elicitation. In workshop notes, Workshop on Configuration, the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI’03), August 2003.
  • Paolo Viappiani, Pearl Pu and Boi Faltings. Acquiring User Preferences for Personal Agents. In Proceedings of the AAAI Fall Symposium, North Falmouth, MA, FS-02-04, pages 53-59, AAAI Press, Menlo Park, California, 2002.
  • Pearl Pu and Boi Faltings. Effective Interaction Principles for User-Involved Constraint Problem Solving. In workshop notes of the Second International Workshop on User-Interaction in Constraint Satisfaction, the Eighth International Conference on Principles and Practice of Constraint Programming, pages 77-91, September 2002.
  • Pearl Pu and Zoren Pecenovic. Dynamic Overview Techniques for Image Retrieval. In Proceedings of the Joint Eurographics – IEEE TCVG Symposium on Visualization, Amsterdam, May 2000.
  • Christian Frei, Boi Faltings, George Melissargos, and Pearl Pu. IconoNET: a tool for automated bandwidth allocation planning. In Proceedings of the NOMS 2000, IEEE/IFIP Network Operations and Management Symposium, pages 321-334, Hawaii, April 2000.
  • George Melissargos and Peal Pu. Conceptualizing Bandwidth Allocation in Network Management. In Proceedings of the 1999 workshop on New Paradigms in Information Visualization and Manipulation (NPIVM’99), ACM Conference on Information and Knowledge Management (CIKM’99), page 62-69, Kansas City, USA, November 1999.
  • George Melissargos and Pearl Pu. Interactive Visualization for Resource Allocation Systems. In Proceedings of the Visual Data Exploration and Analysis IV Conference at the IS&T-SPIE Symposium on Electronic Imaging ’97, San Jose, California, February 13, 1997.
  • G. Melissargos, D. Lalanne and P. Pu. Visualization as Interfacing Tools. In workshop notes of the Swiss Workshop on Collaborative and Distributed Systems, May 2, 1997.
  • G. Melissargos and P. Pu. Employing interactivity and visualization to augment the process of machine-based rescheduling. In Proceedings of the First International Workshop on Approximate Reasoning in Scheduling (ARS’97) of the International ICSC Symposium on Fuzzy Logic and Applications (ISFL’97), Zurich, February 11, 1997.
  • P. Pu and B. Faltings. Multimedia Systems for Design. In workshop notes of the Workshop on Intelligent Multimedia Information Retrieval, the International Joint Conference on Artificial Intelligence, Montreal, August 1995.
  • Pearl Pu. Sigmund: Would you please stop worrying about the cost? On the interactions between creative designers and intelligent machines. In workshop notes of the second workshop on case-based design systems, the Third International Conference on Artificial Intelligence in Design (AID94), pages 39-48, August 1994, Lausanne, Switzerland.
  • Pearl Pu and James D. Hughes. Solving Scheduling Problems in a Flexible Manufacturing Environment. In workshop notes of the SIGMAN Workshop on Intelligent Manufacturing Technology, Eleventh National Conference on Artificial Intelligence (AAAI 93).
  • Pearl Pu and Chris Pepin. A Design Methodology for Case-based Design Systems. In Proceedings of the IFIP WG5.2 Workshop on Formal Design Methods for CAD, June 16-19, 1993, Tallinn, Estonia.
  • Pearl Pu and Ye Huang. Crossroads Diagnosis. In Proceedings of the Third International Workshop on Principles of Diagnosis (DX-92), October 12-15, 1992, Orcas, Island, Washington.
  • Boi Faltings and Pearl Pu. Applying Means-Ends Analysis to Spatial Planning. In Proceedings of the Spring Symposium of the American Association of Artificial Intelligence, pages 213-218, March 1992, Stanford, California.
  • Pearl Pu. Simulating Both Dynamic and Kinematic Behaviors of Mechanisms. In Proceedings of the Third Workshop on Qualitative Reasoning, Stanford, CA, August 1989.
  • Peter Denno and Pearl Pu. A Model for Conceptual Mechanical Design. A chapter in the Preprints of the third IFIP WG 5.2 workshop on intelligent CAD, edited by H. Yoshikawa and F. Arbab, pages 26-29, 1989.
  • Pearl Pu and Norman I. Badler. The Implementation of a Design Knowledge Capturing System. In Proceedings of the Second IFIP W.G. 5.2 Workshop on Intelligent CAD, Cambridge, England, pages 410-415, September 1988.
  • Pearl Pu and N. Badler. Design Knowledge Capture and Causal Simulation. In Proceedings of the First IFIP W.G. 5.2 Workshop on Intelligent CAD, Cambridge, MA, October 1987.