Integrating User-Generated Content and Pervasive Communications.
ABSTRACT User-generated services (UGSs) are the next step in the user-generated content (UGC) trend. UGSs let end users create their own personalized services using simple graphical tools, such as Microsoft Popfly or Yahoo Pipes. This work aims to design a system to automate the requirement identification and service discovery task for UGSs. The system will analyze context, user profile, and user history to find suitable services, combining semantic characterization and metrics with AI and pattern recognition algorithms, such as neural networks, to identify user requirements in real time and match them with existing services.
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ABSTRACT: The last few years, we have witnessed an exponential growth in available content, much of which is user generated (e.g. pictures, videos, blogs, reviews, etc.). The downside of this overwhelming amount of content is that it becomes increasingly difficult for users to identify the content they really need, resulting into considerable research efforts concerning personalized search and content retrieval.On the other hand, this enormous amount of content raises new possibilities: existing services can be enriched using this content, provided that the content items used match the user's personal interests. Ideally, these interests should be obtained in an automatic, transparent way for an optimal user experience.In this paper two models representing user profiles are presented, both based on keywords and with the goal to enrich real-time communication services. The first model consists of a light-weight keyword tree which is very fast, while the second approach is based on a keyword ontology containing extra temporal relationships to capture more details of the user's behavior, however exhibiting lower performance. The profile models are supplemented with a set of algorithms, allowing to learn user interests and retrieving content from personal content repositories.In order to evaluate the performance, an enhanced instant messaging communication service was designed. Through simulations the two models are assessed in terms of real-time behavior and extensibility. User evaluations allow to estimate the added value of the approach taken. The experiments conducted indicate that the algorithms succeed in retrieving content matching the user's interests and both models exhibit a linear scaling behavior. The algorithms perform clearly better in finding content matching several user interests when benefiting from the extra temporal information in the ontology based model.Journal of Network and Computer Applications. 01/2010;
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ABSTRACT: Collective intelligence is the key asset behind Web 2.0. Nowadays, users can share contents and information, but they are also able to compose services thanks to new user-oriented service platforms. In this article a distributed orchestration service execution environment for converged service platforms running over next-generation networks is presented, together with its main support function, the Dispatcher, an element which carries out load balancing and policy enforcement. Taking advantage of the intelligence and support operations offered by NGNs, this kind of SEE is specifically useful for telecommunication operators entering the value added service market, because it simplifies the implementation of their service-specific security and billing policies, and additionally allows easy service execution management for non-expert end users by offering service start and stop functionalities at the push of a button.IEEE Communications Magazine 09/2010; · 3.66 Impact Factor
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ABSTRACT: The information processing of user situation (or user's context) is one of the most significant paradigms in end user telecommunication services development. There are many actors that will play a role, from context providers, acquiring context, to context consumers, context-aware services. Telco operators are the most adequate player to take the role of context aggregators and processors. That is based on the convergence and interoperability of the Next Generation Networks (NGN). Based on NGN capabilities, different domains can interoperate in order to acquire and consume user's context information of different nature. In this paper a global analysis of the technological situation is provided, followed by the architecture of the whole user's context management system proposed. Such system is based on the deployment of a hosted entity, the Convergent Context Enabler (CCE). Specific details are provided about the user's context processing and the interfaces designed to support the elements interworking. Finally, some examples of context-aware services are presented and its signaling flows are analyzed in detail.01/2011;