XMPP and iDTV or how to make television a social medium

Instant Messaging (IM) has the potential to become one of the killer applications for interactive Digital Television (iDTV) [12]. However, several factors make it difficult to provide a good implementation of IM services, among which the limited resources of a set-top box and the different user experience compared to computer environments. This paper proposes the XMPP (Extensible Messaging and Presence Protocol) standard as a solution for implementing IM. When we compare XMPP with other technologies, it reveals itself to be very well adapted to the specific needs of iDTV middleware platforms like the Multimedia Home Platform (MHP) [5]. Moreover, the use of XMPP doesn't limit itself to IM The flexible architecture of XMPP opens a window of opportunities like the ease of adding new interactive services. To demonstrate the possibilities of XMPP on MHP, an IM client -IM4MHP- is presented in this paper

Bringing troubled water: quality of experience in a mobile media context

The ICT environment went through notable changes, which have had an irreversible and strong influence on both ICT innovation processes and the role of end-users. In this context, technology developers are increasingly expected to take users’ experiences with technology into account during the process of developing applications or frameworks. As technology is more and more embedded in users’ daily lives, they seek out those personalized values to satisfy their own, situational needs. As a result, a thorough insight in users’ expectations and experiences at various levels (both explicit and more latent) and in different contexts (eg. mobile) has become a crucial determinant for the successful development, introduction and adoption of new ICTs. To this end, our paper focuses on the increased importance of Quality of Experience (QoE). It provides a conceptual model for QoE and furthermore discusses the prevalent gap that still exists between QoE and Quality of Service (QoS). Our main objective is to present a new methodology for correlating user experience to QoS parameters. This methodology was tested in the context of an exploratory interdisciplinary study on QoE-measurement. This new approach goes beyond QoS-parameters and aims to also grasp the social and contextual dimensions of users’ experiences

Asymmetric somatic plant hybridization : status and applications

To create asymmetric somatic hybrids, the genome of the so-called donor protoplast is fragmented prior to protoplast fusion. As a result, only a limited amount of the donor genome is transferred to the fusion product. This technique can circumvent some commonly observed problems related to symmetric fusion and offers a practical breeding tool for asexual hybridization. Genomes are typically fragmented by irradiation, microprotoplast production or application of metabolic inhibitors such as iodoacetamide. Irradiation and microprotoplast production fragment the nuclear genome, whereas iodoacetamide inactivates the cytoplasmic genome. It can therefore be used to introduce cytoplasmic male ste- rility, an important practical application. For hybrid verification and genome characterization, molecular markers and cytogenetic techniques are applied. This review highlights and discusses progress made during the last decade in sper- matophytes asymmetric protoplast fusion

Extending the Bayesian classifier to a context-aware recommender system for mobile devices

Mobile devices that are capable of playing Internet videos have become wide-spread in recent years. Because of the enormous offer of video content, the lack of sufficient presentation space on the screen, and the laborious navigation on mobile devices, the video consumption process becomes more complicated for the end-user. To handle this problem, people need new instruments to assist with the hunting, filtering and selection process. We developed a methodology for mobile devices that makes the huge content sources more manageable by creating a user profile and personalizing the offer. This paper reports the structure of the user profile, the user interaction mechanism, and the recommendation algorithm, an improved version of the Bayesian classifier that incorporates aspects of the consumption context (like time, location, and mood of the user) to make the suggestions more accurate

Extending user profiles in collaborative filtering algorithms to alleviate the sparsity problem

The overabundance of information and the related difficulty to discover interesting content has complicated the selection process for end-users. Recommender systems try to assist in this content-selection process by using intelligent personalisation techniques which filter the information. Most commonly-used recommendation algorithms are based on Collaborative Filtering (CF). However, present-day CF techniques are optimized for suggesting provider-generated content and partially lose their effectiveness when recommending user-generated content. Therefore, we propose an advanced CF algorithm which considers the specific characteristics of user-generated content (like the sparsity of the data matrix). To alleviate this sparsity problem, profiles are extended with probable future consumptions. These extended profiles increase the profile overlap probability, thereby increasing the number of neighbours used for calculating the recommendations. This way, the recommendations become more precise and diverse compared to traditional CF recommendations. This paper explains the proposed algorithm in detail and demonstrates the improvements on standard CF