Architecture of a Mobile App Recommender System for People with Special Needs
International initiatives promote the development of software applications and technologies which are suitable for people with disabilities or special needs. Although there are currently various apps to assist, facilitate and support different kinds of activities for these users, app repository sear...
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Published in | Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services pp. 288 - 291 |
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Main Authors | , , , , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
2014
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
ISBN | 9783319131016 331913101X |
ISSN | 0302-9743 1611-3349 |
DOI | 10.1007/978-3-319-13102-3_47 |
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Summary: | International initiatives promote the development of software applications and technologies which are suitable for people with disabilities or special needs. Although there are currently various apps to assist, facilitate and support different kinds of activities for these users, app repository search mechanisms are rigidly categorized and do not take into account the disabled user’s profile or context when recommending the most suitable apps available. The aim of this paper is to define an architecture of a new platform supporting an ontology-based recommender system on the features of the apps available in app stores. |
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ISBN: | 9783319131016 331913101X |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-319-13102-3_47 |