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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,...
With the rapid development of science, the academic community requires higher and higher quality of the published articles. This great responsibility is placed on editorial boards of journals, on program committees of conferences and their members. In addition, with a large number of scientific conferences held each year, searching for experts that would be invited to join the program committees is...
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...
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 position paper, we present our interdisciplinary research into a unified account of profiling attackers for software-intensive systems. Our work draws on the principles from requirements engineering and criminology. Specifically, we show how a unified crime theory can be adapted to model the attackers and their degree of knowledge about the environment in which the software operates. We illustrate...
Human activity is almost always intentional. By understanding why user-generated events are happening and what purposes they serve, a system can offer a significantly improved and more engaging experience. Analyzing user actions such as clicks can reveal patterns and behaviors. However, understanding the goals behind these actions is a more challenging issue since goals cannot be easily captured....
Convex scenario optimization is a well-recognized approach to data-based optimization where the solution comes accompanied by precise generalization guarantees. It has been used in system identification as a driving methodology to construct interval prediction models. With this paper, scenario optimization breaks into the realm of non-convex optimization. In non-convex optimization, the number of...
Finding appropriate adslots to display ads is an important step to achieve high conversion rates in online display advertising. Previous work on ad recommendation and conversion prediction often focuses on matching between adslots, users and ads simultaneously for each impression at micro level. Such methods require rich attributes of users, ads and adslots, which might not always be available, especially...
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...
Capturing and storing learners' data is the first step to implement a learning analytics architecture. The Experience API (xAPI) specification is a de facto standard that describes (i) a REST-based API to store and retrieve the learners' activity data, and (ii) an RDF-based data model where the restrictions among data are specified in natural language. In this paper, we present an ontology that formally...
Today's Enterprises exist in highly dynamic environment. While enterprise-architecture (EA) based models help in holistic treatment of enterprise aspects, they are static in nature and do not represent the complex dynamic behavior of enterprise as it evolves over time. Instead of relying on guideline for simulating EA models as in other approaches, we propose a comprehensive metamodel of system dynamics...
Research data sharing is one of the key challenges in the e-science era. IT technologies facilitate an enhanced management and sharing of research data. It is crucial to understand the current status of research data sharing in order to facilitate enhanced data sharing in the future. In this study, a conceptual model has been developed to characterize the process of data sharing and the factors which...
Formal methods can be useful in developing distributed systems, in particular when critical applications are being developed. In this context, the purpose of this work is to define an automatic translation from an abstract formal specification using TemporalZ into an operational specification using CSP-Z in order to address the gap between the abstract design languages and their implementation. Our...
Optimisation of resource selection in hybrid cloud data centres depends on the control of resource usage. The primary criterion for this resource selection is economic efficiency. The presented approach considers operational efficiency aspects in service providing and therefore focuses on technical criteria, such as resource load, as well as economic criteria, such as the costs of resource usage....
As the importance of metadata in resource discovery cannot be over-emphasized, the paper tries to analyze the potential of learning metadata in learning management systems. It examines a learning initiative in the Indian Context while highlighting desirable features especially to aide resource discovery. The present work proposes an approach of integrating LOM based learning management system with...
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