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Personalized Content Delivery on Mobile Phones
Vinod Hegde, Manfred Hauswirth
Digital Enterprise Research Institute, National University of Ireland, Galway
Firstname.lastname@deri.org
Abstract
Mobile phones have become one of the largest used
media today. They can act as a single source of large
amount of information about the user. Also, the current
capabilities of the phone in terms of sensors present,
applications supported make them very exciting
platform for personalized digital content delivery .We
are currently researching on the representation of the
content, information retrieval for personalizing the
content and delivery mechanisms of the content.
1. Introduction
The mobile phones have sophisticated hardware
components such as camera, sensors available on them.
Also, the users heavily use applications like email,
social networks, blogs etc on the phones. Phones also
act as unique platform to communicate with other
people through calls, messages.
These make the phone a unique source of lot of data
about the user of the phone. The data that is explicitly
generated by the user using the applications on the
phone can be utilized to analyse the characteristics of
the user and the preferences he/she has. The data from
the sensors can be used to infer about the activities and
the environment of the user, the geo location of the
user. These data can be combined together to infer
about the context of the user at any time. The context
of the user thus inferred can be utilized to deliver
content that is personalized for the user. The content
can be advertisements, friend suggestions, activity
suggestions etc. The content can be delivered on
various platforms supporting virtual reality, augmented
reality etc.
2. Current Research
The current research includes extensive study of
data on social networks, sensor data on the phone,
information retrieval from these data, representation of
the content to be delivered on the phone, the location
based services possible based on the information
retrieved.
Smart Phones with sophisticated set of sensors
enable the user to interact with the real world. The
Mobile Augmented Reality, which is an emerging field
addresses this issue and requires standardization. It’s a
content delivery and interaction mechanism on the
mobile phone. We have worked on the representation
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of the digital content as Linked Data analyzing the
advantages and disadvantages of it in [1] and [2]. We
have also emphasized the advantages of representing
content as Linked Data so that sophisticated queries
from the user can be answered.
In [1], we have proposed that using Linked Data
principles can be beneficial for personalization of
Points of Interests (POIs). We have worked on
generating presence information in Linked Data format
using the QR codes [3]. This shows the usage of
Marker Based Systems for explicit information
generation from mobile phones. In this, we have also
shown how accurate localization of the mobile phone
users can be achieved.
We are currently working on suggesting friends on
mobile phones based on the personal preferences set on
social networks by the users and the geo-location of the
users.
3. References
[1] Hegde, Reynolds, Parreira, Hauswirth. “Utilizing Linked
Data for Personalized Recommendation of POI’s”. In
Proceedings of the Workshop at the International AR
Standards Meeting, Barcelona 2011.
[2] Reynolds, Hausenblas, Polleres, Hauswirth, Hegde.
“Exploiting Linked Open Data for Mobile Augmented
Reality”. In Proceedings of the W3C Workshop on
Augmented Reality, Barcelona 2010.
[3] http://where.deri.ie