Utilizing Social Context for Providing Personalized Services to Mobile Users

We are currently witnessing a growing tendency for users to engage in social activities on the Internet. Consequently, social networks - tools that enable such activities - are increasingly used. This paper describes a system that uses information users share on these networks (personal context), to...

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Bibliographic Details
Published inSmart Sensing and Context pp. 28 - 41
Main Authors Karapantelakis, Athanasios, Maguire, Gerald Q.
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2010
SeriesLecture Notes in Computer Science
Subjects
active streams
Information technology
Informationsteknik
personalized services
recommender systems
social context
SRA - ICT
SRA - Informations- och kommunikationsteknik
TECHNOLOGY
TEKNIKVETENSKAP
user profile
web feeds
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ISBN9783642169816
3642169813
ISSN0302-9743
1611-3349
DOI10.1007/978-3-642-16982-3_3

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Summary:We are currently witnessing a growing tendency for users to engage in social activities on the Internet. Consequently, social networks - tools that enable such activities - are increasingly used. This paper describes a system that uses information users share on these networks (personal context), to recommend Web feeds of related content to users. The system mines data from popular social networks and combines it with information from third party websites to create user profiles. Subsequently, these profiles are matched with appropriately tagged Web feeds and are displayed to users through a mobile device application. We evaluate the system with a 6-month test run involving real users. We measure the system’s performance as well as user satisfaction and assessment of the accuracy of recommendations by including a feedback mechanism on the mobile application.
ISBN:9783642169816
3642169813
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-16982-3_3