This book constitutes the refereed proceedings of the 11th International Conference on User Modeling, UM 2007, held in Corfu, Greece in July 2007.
The 30 revised full papers and 32 poster papers presented together with papers of 5 selected doctoral consortium articles and the abstracts of 3 invited lectures were carefully reviewed and selected from 169 submissions. The papers are organized in topical sections on evaluating user/student modeling techniques, data mining and machine learning for user modeling, collaborative filtering and recommender systems, cognitive modeling, user adaptation and usability, modeling affect and meta-cognition, mobile, ubiquitous and context aware user modeling, as well as intelligent information retrieval, information filtering and content personalization.
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This book constitutes the refereed proceedings of the 11th International Conference on User Modeling, UM 2007, held in Corfu, Greece in July 2007.
The 30 revised full papers and 32 poster papers presented together with papers of 5 selected doctoral consortium articles and the abstracts of 3 invited lectures were carefully reviewed and selected from 169 submissions. The papers are organized in topical sections on evaluating user/student modeling techniques, data mining and machine learning for user modeling, collaborative filtering and recommender systems, cognitive modeling, user adaptation and usability, modeling affect and meta-cognition, mobile, ubiquitous and context aware user modeling, as well as intelligent information retrieval, information filtering and content personalization.
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Lecture Notes in Computer Science, 4511 |
Release date | June 2007 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2007 |
Editors | Cristina Conati, Kathleen McCoy, Georgios Paliouras |
Dimensions | 235 x 155 x 26mm (L x W x T) |
Format | Paperback |
Pages | 496 |
Edition | 2007 ed. |
ISBN-13 | 978-3-540-73077-4 |
Barcode | 9783540730774 |
Categories | |
LSN | 3-540-73077-X |