Inducing Effective Pedagogical Strategies Using Learning Context Features
by Min Chi, Kurt Van Lehn, Diane Litman and Pamela Jordan, CMU and University of Pittsburg, USA
Social Navigation Support for Information Seeking: If You Build It, Will They Come?
by Rosta Farzan and Peter Brusilovsky, University of Pittsburg, USA
Non-Intrusive Personalisation of the Museum Experience
by Fabian Bohnert and Ingrid Zukerman, Monash University, Australia
The Effectiveness of Personalized Movie Explanations: An Experiment Using Commercial Meta-data
by Nava Tintarev and Judith Masthoff, University of Aberdeen, Scotland
User-Centric Profiling on the Basis of Cognitive and Emotional Characteristics: An Empirical Study
by Nikos Tsianos, Zacharias Lekkas, Panagiotis Germanakos, Costas Mourlas, and George Samaras
Preference-based Organization Interfaces: Aiding User Critiques in Recommender Systems
by Li Chen, Ecole Polytechnique Federale de Lausanne, Switzerland
A User Modeling Server for Contemporary Adaptive Hypermedia: an Evaluation of Push Approach to Evidence Propagation
by Michael Yudelson, University of Pittsburg, USA
Social navigation support in a course recommendation system
by Rosta Farzan and Peter Brusilovsky, University of Pittsburgh
A Comparative Study of Compound Critique Generation in Conversational Recommender Systems
by Jiyong Zhang and Pearl Pu, Ecole Polytechnique Federale de Lausanne
Assessing Cognitive Load in Adaptive Hypermedia Systems: Physiological and Behavioral Methods
by Holger Schultheis and Anthony Jameson (DFKI, Germany)
Using SiteRank for Decentralized Computation of Web Document Ranking
by Jie Wu and Karl Aberer (EPFL, Switzerland)
Exploiting Probabilistic Latent Information for the Construction of Community Web Directories
by Dimitrios Pierrakos and Georgios Paliouras, Institute of Informatics & Telecommunications, NCSR "Demokritos”
The impact of link suggestion on user navigation and user perception
by Ion Juvina (University of Utrecht, the Netherlands) and Eelco Herder (University of Twente, the Netherlands)
Dr. James Rong Chen, a research computer scientist in Computational Sciences Division for eight years, has been working in the area of personalized information retrieval and published two highly quoted papers in UMUAI. He died May 1st, 2001 in an automobile accident on his way home from work. He is survived by his wife, Lily Chang, his sisters Yiko, Ida, Eva, Gina and Nina, and his mother and father, Grace and Y.K. Jim was 45.
Jim was born on September 11th, 1955, in Taipei, Taiwan. He received a B.S. in Physics from the National Tsing Hua University, 1977, a M.S. in Industrial Engineering from the University of Wisconsin in 1981 and a Ph.D in Computer Science from the University of California at San Diego in 1993. He had received awards for both his teaching and research in Computer Science.
Jim worked at Signetics, FMC Ordnance, Apple Computer and IBM before joining NASA in 1993. At Ames, he conducted research on machine learning, digital libraries, and information management, most recently as part of the ScienceDesk Project. He was also the principal investigator for the DIAMS system, an agent-based collaborative information management system. Outside of work, Jim was an active member of the Bay Area Yan Xin Qigong Society.
The Chen family has donated funds to establish three awards in commemoration of James R. Chen:
The James Chen Award for the best annual UMUAI journal article. The prize carries a cash reward of $1000.
The James Chen Award for for the best student paper at the UM conference and at the AH conference (each carries a cash reward of $1000).