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. Ed(S): Dimitrova, Vania; Kuflik, Tsvi; Ricci, Francesco; Dolog, Peter; Houben, Geert-Jan - User Modeling, Adaptation, and Personalization - 9783319087856 - V9783319087856
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User Modeling, Adaptation, and Personalization

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Description for User Modeling, Adaptation, and Personalization Paperback. Editor(s): Dimitrova, Vania; Kuflik, Tsvi; Ricci, Francesco; Dolog, Peter; Houben, Geert-Jan. Series: Lecture Notes in Computer Science / Information Systems and Applications, Incl. Internet/Web, and HCI. Num Pages: 536 pages, 144 black & white illustrations, biography. BIC Classification: UF; UNH; UYQ; UYZG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 28. Weight in Grams: 813.
This book constitutes the thoroughly refereed proceedings of the 22nd International Conference on User Modeling, Adaption and Personalization, held in Aalborg, Denmark, in July 2014. The 23 long and 19 short papers of the research paper track were carefully reviewed and selected from 146 submissions. The papers cover the following topics: large scale personalization, adaptation and recommendation; Personalization for individuals, groups and populations; modeling individuals, groups and communities; Web dynamics and personalization; adaptive web-based systems; context awareness; social recommendations; user experience; user awareness and control; Affective aspects; UMAP underpinning by psychology models; privacy; perceived security and trust; behavior change and ... Read more

Product Details

Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
536
Condition
New
Series
Lecture Notes in Computer Science / Information Systems and Applications, Incl. Internet/Web, and H
Number of Pages
510
Place of Publication
Cham, Switzerland
ISBN
9783319087856
SKU
V9783319087856
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About . Ed(S): Dimitrova, Vania; Kuflik, Tsvi; Ricci, Francesco; Dolog, Peter; Houben, Geert-Jan
Large scale personalization, adaptation and recommendation.- Personalization for individuals, groups and populations.- Modeling individuals, groups and communities.- Web dynamics and personalization.- Adaptive Web-based systems.- Context awareness.- Social recommendations.- User experience.- User awareness and control.- Affective aspects.- UMAP underpinning by psychology models.- Privacy.- Perceived security and trust.- Behavior change and persuasion.

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