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recsys | ACM Conference on Recommender Systems (RecSys)

  • 主办方 / 出版社:ACM
  • 方向:推荐系统
  • CCF等级 / JCR分区:无类
Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning, RecSysTEL 2010, Barcelona, Spain, September 29-30, 2010.
注意,当前年度会议可能有其他论文集合,点击查看
Preface.

Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Olga C. Santos

Towards a recommender strategy for personal learning environments.

Felix Mödritscher

Recommending knowledgeable people in a work-integrated learning system.

Günter Beham, Barbara Kump, Tobias Ley, Stefanie N. Lindstaedt

Modeling recommendations for the educational domain.

Olga C. Santos, Jesus Boticario

Semantic ranking of lecture slides based on conceptual relationship and presentational structure.

Yuanyuan Wang, Kazutoshi Sumiya

Recommender system for predicting student performance.

Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimberghe, Lars Schmidt-Thieme

Exercises recommending for limited time learning.

Pavel Michlík, Mária Bieliková

Towards a user model for personalized recommendations in work-integrated learning: A report on an experimental study with a collaborative tagging system.

Karin Schoefegger, Paul Seitlinger, Tobias Ley

A personalized recommendation framework based on cam and document annotations.

Julien Broisin, Mihaela Brut, Valentin Butoianu, Florence Sèdes, Philippe Vidal

Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning.

Hendrik Drachsler, Toine Bogers, Riina Vuorikari, Katrien Verbert, Erik Duval, Nikos Manouselis, Günter Beham, Stefanie N. Lindstaedt, Hermann Stern, Martin Friedrich, Martin Wolpers

Exploring user-based recommender results in large learning object repositories: the case of MERLOT.

Miguel-Ángel Sicilia, Elena García Barriocanal, Salvador Sánchez Alonso, Cristian Cechinel

Linking open course wares and open education resources: creating an effective search and recommendation system.

Brett E. Shelton, Joel Duffin, Yuxuan Wang, Justin Ball

A competency - driven advisor system for multi-actor learning environments.

Olga Marino, Gilbert Paquette

Meta-Mender: A meta-rule based recommendation system for educational applications.

Vicente Arturo Romero Zaldivar, Daniel Burgos

A simulation for content-based and utility-based recommendation of candidate coalitions in virtual creativity teams.

Rory L. L. Sie, Marlies Bitter-Rijpkema, Peter B. Sloep

Social navigation for educational digital libraries.

Peter Brusilovsky, Lillian N. Cassel, Lois M. L. Delcambre, Edward A. Fox, Richard Furuta, Daniel D. Garcia, Frank M. Shipman III, Michael Yudelson


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