Paul Resnick

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Paul Resnick
Paul Resnick at Cornell (438990179).jpg
Paul Resnick at Cornell/Microsoft Research International Symposium on Self-Organizing Online Communities
Born
Paul Resnick

Michigan, U.S.
Alma mater
Known for
  • Recommender systems
Awards
  • 2010 ACM Software Systems Award
  • 2016 University of Michigan Distinguished Faculty Achievement Award
  • ACM Special Interest Group on E-commerce Test of Time Award for the paper titled "The Social Cost of Cheap Pseudonyms."
Scientific career
Fields
Institutions
Thesis Hypervoice: Groupware by Telephone [1]  (1992)
Doctoral advisor Thomas W. Malone
Doctoral students Cliff Lampe

Paul Resnick is Michael D. Cohen Collegiate Professor of Information at the School of Information at the University of Michigan.

Contents

Education

Paul Resnick was born in New York and attended the University of Michigan for his undergraduate studies. He received a Ph.D. at the Massachusetts Institute of Technology (MIT) in 1992 in Computer Science. After graduating from MIT, Resnick worked at AT&T Labs and AT&T Bell Labs and was an assistant Professor at the MIT Sloan School of Management. Resnick became an assistant professor at the University of Michigan in 1997, and subsequently became Associate Professor, Professor, and then Associate Dean.

Awards

Resnick was elected to the CHI Academy in 2017. [2] He received the 2010 ACM Software Systems Award for his work on the GroupLens Collaborative Filtering Recommender System [3] which showed how distributed users could personalize recommendations via ratings. He also received the ACM Special Interest Group on E-commerce Test of Time Award for the paper titled "The Social Cost of Cheap Pseudonyms". [4] He received the 2016 University of Michigan Distinguished Faculty Achievement Award. [5] In 2020, he was selected as Fellow of the Association for Computing Machinery (ACM) for contributions to recommender systems, economics and computation, and online communities. [6]

Selected works

Related Research Articles

A recommender system (RecSys), or a recommendation system (sometimes replacing system with terms such as platform, engine, or algorithm), is a subclass of information filtering system that provides suggestions for items that are most pertinent to a particular user. Recommender systems are particularly useful when an individual needs to choose an item from a potentially overwhelming number of items that a service may offer.

George William Furnas is an American academic, Professor and Associate Dean for Academic Strategy at the School of Information of the University of Michigan, known for his work on semantic analysis and on human-system communication.

<span class="mw-page-title-main">Paul Dourish</span> British-American computer scientist

Paul Dourish is a computer scientist best known for his work and research at the intersection of computer science and social science. Born in Scotland, he holds the Steckler Endowed Chair of Information and Computer Science at the University of California, Irvine, where he joined the faculty in 2000, and where he directs the Steckler Center for Responsible, Ethical, and Accessible Technology. He is a Fellow of the AAAS, the ACM, and the BCS, and is a two-time winner of the ACM CSCW "Lasting Impact" award, in 2016 and 2021.

James David Foley is an American computer scientist and computer graphics researcher. He is a Professor Emeritus and held the Stephen Fleming Chair in Telecommunications in the School of Interactive Computing at Georgia Institute of Technology. He was Interim Dean of Georgia Tech's College of Computing from 2008–2010. He is perhaps best known as the co-author of several widely used textbooks in the field of computer graphics, of which over 400,000 copies are in print and translated in ten languages. Foley most recently conducted research in instructional technologies and distance education.

<span class="mw-page-title-main">Amy S. Bruckman</span> American professor (born 1965)

Amy Susan Bruckman is a professor at the Georgia Institute of Technology affiliated with the School of Interactive Computing and the GVU Center. She is best known for her pioneering research in the fields of online communities and the learning sciences. In 1999, she was selected as one of MIT Technology Review's TR100 awardees, honoring 100 remarkable innovators under the age of 35.

Michael Paul Wellman is an American computer scientist and Lynn A. Conway Collegiate Professor of Computer Science and Engineering at the University of Michigan, Ann Arbor. He formerly led his department as Richard H. Orenstein Division Chair of Computer Science and Engineering.

<span class="mw-page-title-main">Akinori Yonezawa</span> Japanese computer scientist

Akinori Yonezawa(born June 17, 1947) is a Japanese computer scientist. Professor Emeritus of the University of Tokyo. Received Ph.D. from the Massachusetts Institute of Technology (MIT). Currently, a senior fellow at the Chiba Institute of Technology, Software Technology and Artificial Intelligence Research Center. Former member of the Science Council of Japan. Specializes in object-oriented programming languages, distributed computing and information security. From its beginning, he contributed to the promotion and development of object-oriented programming, which is the basis of programming languages most commonly used today, and served as a program committee member and chairman of the main international conferences OOPSLA and ECOOP. At the same time, he is internationally known as a pioneer of the concepts and models of “concurrent/parallel objects". In software systems constructed based on concurrent/parallel objects, information processing and computation proceed by concurrent/parallel message passing among a large number of objects. Yonezawa's concurrent (parallel) objects are influenced by Actors, the concept of which was proposed by Carl Hewitt at MIT's AI Lab in the early 1970s and later rigorously formulated by Gul Agha. However, concurrent objects and actors are fundamentally different. An actor is an object that does not have a "state," whereas Yonezawa's concurrent (parallel) object can have a persistent state. For this reason, concurrent (parallel) objects are often used in implementing large parallel processing software systems. Large-scale software systems built and put into practical use based on concurrent (parallel) objects include an online virtual world system Second Life, social networking services such as Facebook and X (Twitter), and large-scale molecular dynamics simulation systems such as NAMD.

<span class="mw-page-title-main">GroupLens Research</span> Computer science research lab

GroupLens Research is a human–computer interaction research lab in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities specializing in recommender systems and online communities. GroupLens also works with mobile and ubiquitous technologies, digital libraries, and local geographic information systems.

Steve Whittaker is a Professor in human-computer interaction at the University of California Santa Cruz. He is best known for his research at the intersection of computer science and social science in particular on computer mediated communication and personal information management. He is a Fellow of the Association for Computing Machinery (ACM), and winner of the CSCW 2018 "Lasting Impact" award. He also received a Lifetime Research Achievement Award from SIGCHI, is a Member of the SIGCHI Academy. He is Editor of the journal Human-Computer Interaction.

<span class="mw-page-title-main">Robert E. Kraut</span> American social psychologist

Robert E. Kraut is an American social psychologist who studies human-computer interaction, online communities, internet use, group coordination, computers in organizations, and the role of visual elements in interpersonal communication. He is a Herbert Simon University Professor Emeritus of Human-computer Interaction at the Human-Computer Interaction Institute at Carnegie Mellon University.

MovieLens is a web-based recommender system and virtual community that recommends movies for its users to watch, based on their film preferences using collaborative filtering of members' movie ratings and movie reviews. It contains about 11 million ratings for about 8500 movies. MovieLens was created in 1997 by GroupLens Research, a research lab in the Department of Computer Science and Engineering at the University of Minnesota, in order to gather research data on personalized recommendations.

<span class="mw-page-title-main">John T. Riedl</span> American computer scientist

John Thomas Riedl was an American computer scientist and the McKnight Distinguished Professor at the University of Minnesota. His published works include highly influential research on the social web, recommendation systems, and collaborative systems.

<span class="mw-page-title-main">Loren Terveen</span> American computer scientist

Loren Terveen is an American computer scientist and was the president of the Association for Computing Machinery's SIGCHI professional group from 2015 to 2018. Terveen is a professor of computer science and engineering and studies human-computer interaction at GroupLens Research at the University of Minnesota.

Joseph A. Konstan is an American computer scientist and the Distinguished McKnight University Professor and Distinguished University Teaching Professor at the University of Minnesota. His research interests are human computer interaction, social computing, collaborative information filtering, online communities and medical and health applications of Internet technology. He is best known for his work in collaborative filtering recommenders, and for his work in online HIV prevention.

<span class="mw-page-title-main">Cliff Lampe</span> Information Scientist

Clifford Lampe is a Professor in the School of Information at the University of Michigan. He is best known for his research in the fields of human-computer interaction, social computing, and computer supported cooperative work. Since 2018 he has been Executive Vice President for ACM SIGCHI. Lampe made foundational contributions in the areas of social networking sites, social capital, and online communities, work that has been cited over 34,000 times according to Google Scholar.

Gary M. Olson is an American professor and researcher, specializing in the fields of human-computer interaction and computer supported cooperative work. He has published over 120 research articles and book chapters, and is one of the authors of Working Together Apart: Collaboration over the Internet.

Emily Mower Provost is a professor of computer science at the University of Michigan. She directs the Computational Human-Centered Artificial Intelligence (CHAI) Laboratory.

Eric Gilbert is an American computer scientist and the John Derby Evans Associate Professor in the University of Michigan School of Information, with a courtesy appointment in CSE. He is known for his work designing and analyzing social media.

Jiliang Tang is a Chinese-born computer scientist and associate professor at Michigan State University in the Computer Science and Engineering Department, where he is the director of the Data Science and Engineering (DSE) Lab. His research expertise is in data mining and machine learning.

Sarita Yardi Schoenebeck is an American computer scientist at the University of Michigan, where she serves as Director of the Living Online Lab. Her research considers human–computer interactions, social media and social computing. She was awarded the University of Michigan School of Information Diversity, Equity and Inclusion Award in 2017 for her work on LGBTQ+ families and online communities.

References

  1. Resnick, Paul (1992). Hypervoice: Groupware by Telephone (PhD thesis). MIT.
  2. "2017 SIGCHI Awards".
  3. "ACM touts Resnick's recommender system | University of Michigan School of Information". www.si.umich.edu.
  4. "Paul Resnick paper withstands the "Test of Time" to win new award | University of Michigan School of Information". www.si.umich.edu.
  5. "Distinguished Faculty Achievement Awards".
  6. "2020 ACM Fellows Recognized for Work that Underpins Today's Computing Innovations".

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