Privacy in cross-system personalization

Yang Wang, Alfred Kobsa

Research output: Chapter in Book/Entry/PoemConference contribution

Abstract

Cross-system personalization (CSP), an innovative technology that enables consistent personalized user experience across different applications, platforms and even devices, is gaining substantial momentum both in academia and industry. Despite the potential benefits to both service providers and end users, CSP raises thorny privacy issues. This paper discusses these potential privacy issues in CSP and suggests directions for future research.

Original languageEnglish (US)
Title of host publicationIntelligent Privacy Management - Papers from the AAAI Spring Symposium, Technical Report
PublisherAI Access Foundation
Pages184-186
Number of pages3
ISBN (Print)9781577354598
StatePublished - 2010
Externally publishedYes
Event2010 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 22 2010Mar 24 2010

Publication series

NameAAAI Spring Symposium - Technical Report
VolumeSS-10-05

Other

Other2010 AAAI Spring Symposium
Country/TerritoryUnited States
CityStanford, CA
Period3/22/103/24/10

ASJC Scopus subject areas

  • Artificial Intelligence

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