1.

Record Nr.

UNISA996198517003316

Titolo

User Modeling, Adaptation and Personalization [[electronic resource] ] : 23rd International Conference, UMAP 2015, Dublin, Ireland, June 29 -- July 3, 2015. Proceedings / / edited by Francesco Ricci, Kalina Bontcheva, Owen Conlan, Séamus Lawless

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-20267-7

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (XVI, 404 p. 108 illus.)

Collana

Information Systems and Applications, incl. Internet/Web, and HCI ; ; 9146

Disciplina

004.019

Soggetti

User interfaces (Computer systems)

Information storage and retrieval

Artificial intelligence

Application software

E-commerce

User Interfaces and Human Computer Interaction

Information Storage and Retrieval

Artificial Intelligence

Information Systems Applications (incl. Internet)

e-Commerce/e-business

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

Intelligent learning Environments -- Recommender Systems -- E-commerce -- Advertising -- Personalized information retrieval and access -- Digital humanities -- E-government -- Cultural heritage -- Personalized health.

Sommario/riassunto

This book constitutes the refereed proceedings of the 23rd International Conference on User Modeling, Adaptation and Personalization, UMAP 2015, held in Dublin, Ireland, in June/July 2015. The 25 long and 7 short papers of the research paper track were carefully reviewed and selected from 112 submissions. The papers reflect the conference theme "Contextualizing the World", highlighting



the significance and impact of user modeling and adaptive technologies on a large number of everyday application areas such as: intelligent learning environments, recommender systems, e-commerce, advertising, personalized information retrieval and access, digital humanities, e-government, cultural heritage, and personalized health.