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The design of recommendation method is the core of personalized recommendation, and the implementation of recommendation depends on the matching relation between user preference and resource object. This paper proposes a hybrid personalized recommendation method based on context-based collaborative filtering and knowledge recommendation, which is based on personalized recommendation knowledge model,...
Context is a fundamental tool humans use for understanding their environment, and it must be modelled in a way that accounts for the complexity faced in the real world. Current context modelling approaches mostly focus on a priori defined environments, while the majority of human life is in open, and hence complex and unpredictable, environments. We propose a context model where the context is organized...
Pervasive computing envisions environments where computers are blended into everyday objects in order to provide added-value services to people. Already today, there is a growing number of advanced embedded systems around us, extended with computing and communication capabilities. However, pervasive applications raise major challenges in term of software engineering and remain hard to develop, deploy,...
Are hybrid simulation models always beneficial? When should one modeling paradigm be used more than another? How does one know the right balance has been reached between different simulation techniques for the system under investigation? We illustrate selected insights into hybrid simulation through the use of a discrete event simulation (DES) model and a hybrid DES agent based model (ABM) of the...
In this paper, which describes a work in progress, we wish to propose context aware service delivery, and we focus on distributed human computer interface, in order to exploit the variety of interaction mode/capabilities according to current situation, users, and context. Our aim is providing new kind of more dynamic interaction modes. We particularly focus on the domain of smart-home (including digital...
Representation of cooperating systems in recent products and collecting organized engineering knowledge in organizational intellectual property are currently actual issues on the long way of engineering model integration. Engineering model with those representations inherently includes components from various discipline areas in a single structure and recently uses requirements, functional, logical,...
Requirements are usually categorized in functional requirements (FRs) and quality requirements (QR). FRs describe "things the product must do" while QRs describe "qualities the product must have". Besides the definition, classification, and representation problems identified by Glinz, there are two further problems with current definitions of quality requirements: (i) the definitions...
Traffic variation heavily impacts energy savings achieved by putting Line Cards (LCs) into Sleep Mode (SM) in core Internet Protocol (IP)-over-Wavelength Division Multiplexing (WDM) networks. We propose a simple traffic model covering temporal and spatial traffic variation and investigate the impact of (controlled) traffic variations on energy savings achieved with the Energy Watermark Algorithm (EWA)...
Data aggregation for VANETs is considered a vital building block for many applications due to its bandwidth saving potential. In this paper, we propose a novel context aware data aggregation technique for VANETs. The data aggregation is done by the cluster head based on the context i.e. vehicle speed and density to reduces the required bandwidth for periodic data dissemination. The proposed technique...
Pervasive applications raise major challenges in term of software engineering and remain hard to develop, deploy, execute and maintain. Context-awareness, in particular, is a salient and difficult property that must be met by pervasive applications. We have developed a service-based approach facilitating the design and execution of a context module on top of iPOJO/iCasa, our pervasive platform. This...
In this paper, we consider the effect of different order relations on the solutions of Multi-Objective Constraint Optimization Problems (MOCOP) with tradeoffs, where the tradeoffs are given in the form of elicited or observed preferences over alternatives. In MOCOP, alternatives are evaluated on a number of objectives (utility scales) and thus correspond to utility vectors, the set of optimal solutions...
We consider the problem of learning distributed representations for documents from their content and associated tags, and of distributed representations of users from documents and tags provided by users. The documents, words, and tags are represented as low-dimensional vectors and are jointly learned with a multi-layered neural language model. We propose a two stage method where in the first stage...
DCI (Data, Context and Interaction) comes from role-based programming and separates the system state from its behavior making it possible to preserve use cases in code to the great extent. In its Java implementation, DCI relies on the Qi4J (renamed to Apache Zest at the time of finalizing this paper) framework for role injection. This paper provides an assessment of DCI via its Qi4J implementation...
The BASAR project offers a repository of blended learning scenarios. This project aims to reuse and capitalize good teaching practices. A teacher-designer would have the ability to choose a scenario that matches his needs, to be modified, used and refined. Specializing the scenario to a given context often improves the learning quality. On the other hand, it increases the difficulty to reuse it in...
In order to leverage the benefits of the notion of situation at design time, proper support is required at the modeling level. In the past, this need has led to the development of a situation type specification language called SML. Although SML facilitates the definition of situation types by providing a graphical notation, designers could profit from additional support in order to assess the quality...
Workflows are an established IT concept to achieve business goals in a reliable and robust manner. However, the dynamic nature of modern information systems, the upcoming Industry 4.0, and the Internet of Things increase the complexity of modeling robust workflows significantly as various kinds of situations, such as the failure of a production system, have to be considered explicitly. Consequently,...
Increasing numbers of sensors are being deployed in environments to monitor our behaviours and environmental phenomena. Missing data is an inevitable problem in almost every sensorised environment, due to physical failure, poor connection, or dislodgement. This results in an incomplete view of the real-world, leading to poor prediction and consequently, degraded quality of system services. This paper...
Top down image semantics play a major role in predicting where people more attend in images. In the state of computational models of human visual attention incorporate high level object detections signifying top down image semantics in a separate channel along with other bottom up saliency channels. The different occurrences of objects in a scene also to attract our attention and this interaction...
In this paper contextual string grammar model is extended to a two dimensional array grammar model, called contextual iso-triangular array grammar. Membrane computing is a computational model and in which P system is its device. It is a cell like structure model. We continue the study of linking these two areas by introducing contextual iso triangular array P system and we investigate its power in...
The evolution of information retrieval is intimately linked to the evolution of the Web. Although the involvement of different context dimensions in the improvement of the search task was greatly studied, the abundant development of hardware and software opens ways to explore new contextual dimensions. This paper presents the different contextual dimensions studies in the literature and proposes a...
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