12,103 research outputs found
Taste and the algorithm
Today, a consistent part of our everyday interaction with art and aesthetic artefacts occurs through digital media, and our preferences and choices are systematically tracked and analyzed by algorithms in ways that are far from transparent. Our consumption is constantly documented, and then, we are fed back through tailored information. We are therefore witnessing the emergence of a complex interrelation between our aesthetic choices, their digital elaboration, and also the production of content and the dynamics of creative processes. All are involved in a process of mutual influences, and are partially determined by the invisible guiding hand of algorithms.
With regard to this topic, this paper will introduce some key issues concerning the role of algorithms in aesthetic domains, such as taste detection and formation, cultural consumption and production, and showing how aesthetics can contribute to the ongoing debate about the impact of today’s “algorithmic culture”
NewsMe: A case study for adaptive news systems with open user model
Adaptive news systems have become important in recent years. A lot of work has been put into developing these adaptation processes. We describe here an adaptive news system application, which uses an open user model and allow users to manipulate their interest profiles. We also present a study of the system. Our results showed that user profile manipulation should be used with caution. © 2007 IEEE
Personalizable Service Discovery in Pervasive Systems
Today, telecom providers are facing changing challenges.
To stay ahead in the competition and provide market
leading offerings, carriers need to enable a global ecosystem of
third party independent application developers to deliver converged
services. This is the aim of leveraging a open standardsbased
service delivery platform. To identify and to cope with
those challenges is the main target of the EU funded project
IST DAIDALOS II. And a central point to satisfy the changing
user needs is the provision of a well working, user friendly and
personalized service discovery. This paper describes our work
in the project on a middleware in a framework for pervasive
service usage. We have designed an architecture for it, that
enables full transparency to the user, grants high compatibility
and extendability by a modular and pluggable conception and
allows for interoperability with most known service discovery
protocols. Our Multi-Protocol Service Discovery and the Four
Phases Service Filtering concept enabling personalization should
allow for the best possible results in service discovery
Assessing the Effectiveness and Usability of Personalized Internet Search through a Longitudinal Evaluation
This paper discusses a longitudinal user evaluation of Prospector, a personalized Internet meta-search engine capable of personalized re-ranking of search results. Twenty-one participants used Prospector as their primary search engine for 12 days, agreed to have their interaction with the system logged, and completed three questionnaires. The data logs show that the personalization provided by Prospector is successful: participants preferred re-ranked results that appeared higher up. However, the questionnaire results indicated that people would prefer to use Google instead (their search engine of choice). Users would, nevertheless, consider employing a personalized search engine to perform searches with terms that require disambiguation and/or contextualization. We conclude the paper with a discussion on the merit of combining system- and user-centered evaluation for the case of personalized systems
Enriching MPEG-7 user models with content metadata
MPEG-7 is an XML-based standard that provides tools for creating rich and structured multimedia content metadata. However, only an extremely limited range of preferences can be specified for user models and multimedia content metadata created by other parts of the standard cannot be fully exploited. This results in a very incomplete mapping of user models to content models. We present an approach to address the problem by representing user models by means of existing MPEG-7 content description tools
Where are your Manners? Sharing Best Community Practices in the Web 2.0
The Web 2.0 fosters the creation of communities by offering users a wide
array of social software tools. While the success of these tools is based on
their ability to support different interaction patterns among users by imposing
as few limitations as possible, the communities they support are not free of
rules (just think about the posting rules in a community forum or the editing
rules in a thematic wiki). In this paper we propose a framework for the sharing
of best community practices in the form of a (potentially rule-based)
annotation layer that can be integrated with existing Web 2.0 community tools
(with specific focus on wikis). This solution is characterized by minimal
intrusiveness and plays nicely within the open spirit of the Web 2.0 by
providing users with behavioral hints rather than by enforcing the strict
adherence to a set of rules.Comment: ACM symposium on Applied Computing, Honolulu : \'Etats-Unis
d'Am\'erique (2009
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