Skip to main content

Architecture of a Mobile App Recommender System for People with Special Needs

  • Conference paper
Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services (UCAmI 2014)

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Shaomei, L., Adamic, L.: Visually impaired users on an online social network. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 3133–3142 (2014)

    Google Scholar 

  2. Resnick, P., Varian, H.: Recommender Systems. Communications of the ACM 40(3), 56–58 (1997)

    Article  Google Scholar 

  3. Bing, F., Shaoyi, L., Kaiquan, X., Hao, C., Chen, Z., Huaping, C.: A novel mobile recommender system for indoor shopping. Expert Systems with Applications 39(15), 11992–12000 (2012)

    Article  Google Scholar 

  4. AEGIS Project, http://www.aegis-project.eu/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Torres-Carazo, M.I., Rodríguez-Fórtiz, M.J., Hurtado, M.V., Samos, J., Espín, V. (2014). Architecture of a Mobile App Recommender System for People with Special Needs. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham. https://doi.org/10.1007/978-3-319-13102-3_47

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13102-3_47

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13101-6

  • Online ISBN: 978-3-319-13102-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics