User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642022463, 9783642022470

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Sensors Model Student Self Concept in the Classroom

User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02247-0_6 ◽

2009 ◽

pp. 30-41 ◽

Cited By ~ 28

Author(s):

David G. Cooper ◽

Ivon Arroyo ◽

Beverly Park Woolf ◽

Kasia Muldner ◽

Winslow Burleson ◽

...

Keyword(s):

Self Concept

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Adaptive Clustering of Search Results

User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02247-0_51 ◽

2009 ◽

pp. 447-453 ◽

Cited By ~ 1

Author(s):

Xuehua Shen ◽

ChengXiang Zhai ◽

Nicholas J. Belkin

Keyword(s):

Adaptive Clustering ◽

Search Results

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Filtering Fitness Trail Content Generated by Mobile Users

User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02247-0_50 ◽

2009 ◽

pp. 441-446 ◽

Cited By ~ 1

Author(s):

Fabio Buttussi ◽

Luca Chittaro ◽

Daniele Nadalutti

Keyword(s):

Mobile Users

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Adaptive Tips for Helping Domain Experts

User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02247-0_43 ◽

2009 ◽

pp. 397-402 ◽

Cited By ~ 1

Author(s):

Alana Cordick ◽

Judi McCuaig

Keyword(s):

Domain Experts

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Collaborative Semantic Tagging of Web Resources on the Basis of Individual Knowledge Networks

User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02247-0_40 ◽

2009 ◽

pp. 379-384 ◽

Cited By ~ 5

Author(s):

Doreen Böhnstedt ◽

Philipp Scholl ◽

Christoph Rensing ◽

Ralf Steinmetz

Keyword(s):

Knowledge Networks ◽

Web Resources ◽

Semantic Tagging ◽

Individual Knowledge

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Evaluating Web Based Instructional Models Using Association Rule Mining

User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02247-0_5 ◽

2009 ◽

pp. 16-29 ◽

Cited By ~ 3

Author(s):

Enrique García ◽

Cristóbal Romero ◽

Sebastián Ventura ◽

Carlos de Castro

Keyword(s):

Association Rule ◽

Association Rule Mining ◽

Instructional Models ◽

Rule Mining ◽

Web Based

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Context-Aware Preference Model Based on a Study of Difference between Real and Supposed Situation Data

User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02247-0_12 ◽

2009 ◽

pp. 102-113 ◽

Cited By ~ 36

Author(s):

Chihiro Ono ◽

Yasuhiro Takishima ◽

Yoichi Motomura ◽

Hideki Asoh

Keyword(s):

Context Aware ◽

Preference Model ◽

Model Based

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Thinking Outside the (Search) Box

User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02247-0_2 ◽

2009 ◽

pp. 2-2 ◽

Cited By ~ 2

Author(s):

Susan Dumais

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Personalised Web Experiences: Seamless Adaptivity across Web Service Composition and Web Content

User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02247-0_56 ◽

2009 ◽

pp. 480-485 ◽

Cited By ~ 6

Author(s):

Ian O’Keeffe ◽

Vincent Wade

Keyword(s):

Web Service ◽

Service Composition ◽

Web Service Composition ◽

Web Content

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Google Shared. A Case-Study in Social Search

User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02247-0_27 ◽

2009 ◽

pp. 283-294 ◽

Cited By ~ 33

Author(s):

Barry Smyth ◽

Peter Briggs ◽

Maurice Coyle ◽

Michael O’Mahony

Keyword(s):

Social Search

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User Modeling, Adaptation, and Personalization - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Sensors Model Student Self Concept in the Classroom

Adaptive Clustering of Search Results

Filtering Fitness Trail Content Generated by Mobile Users

Adaptive Tips for Helping Domain Experts

Collaborative Semantic Tagging of Web Resources on the Basis of Individual Knowledge Networks

Evaluating Web Based Instructional Models Using Association Rule Mining

Context-Aware Preference Model Based on a Study of Difference between Real and Supposed Situation Data

Thinking Outside the (Search) Box

Personalised Web Experiences: Seamless Adaptivity across Web Service Composition and Web Content

Google Shared. A Case-Study in Social Search

User Modeling, Adaptation, and Personalization - Lecture Notes in Computer Science
Latest Publications