In this paper we examine the use of a matrix factorization technique called singular value decomposition (SVD) in item-based collaborative filtering. After a brief introduction to SVD and some of its previous applicat...
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In this paper we examine the use of a matrix factorization technique called singular value decomposition (SVD) in item-based collaborative filtering. After a brief introduction to SVD and some of its previous applications in recommender systems, we proceed with a full description of our algorithm, which uses SVD in order to reduce the dimension of the active item's neighborhood. The experimental part of this work first locates the ideal parameter settings for the algorithm, and concludes by contrasting it with plain item-based filtering which utilizes the original, high dimensional neighborhood. The results show that a reduction in the dimension of the item neighborhood is promising, since it does not only tackle some of the recorded problems of recommender systems, but also assists in increasing the accuracy of systems employing it.
The low-cost and availability of network of workstations have made them attractive solution for high performance computing. Striking progress of network technology is enabling high-performance global computing, with t...
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In this paper, we present our Grid-based decision tree architecture, with the intention of applying it to both parallel and sequential algorithms. Also, we show that, based on the scope and model of data mining applie...
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In this paper, a parallel loop self-scheduling scheme for heterogeneous PC cluster systems is proposed. Though the proposed scheme does allow users to choose parameters before the execution initialization phase, there...
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Internet computing and grid technologies promise to change the way we tackle complex problems. They will enable large-scale aggregation and sharing of computational, data and other resources across institutional bound...
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SLABS is a formal specification language designed for modular and composable specification of multi-agent systems. This paper reports our attempts to support SLABS at the level of programming languages. A programming ...
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SLABS is a formal specification language designed for modular and composable specification of multi-agent systems. This paper reports our attempts to support SLABS at the level of programming languages. A programming language, SLABSp, is presented to support two distinguished mechanisms, namely caste and scenario, in caste-centric methodology of agent-oriented software development. Based on Java platform, the SLABSp has been implemented by compiling the programs into Java with the multi-agent runtime environment.
The paper presents a caste-centric approach to agent-oriented programming by introducing SLABSp language. The fundamental concepts of caste-centric methodology, caste and scenario, as well as environment descriptions,...
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The paper presents a caste-centric approach to agent-oriented programming by introducing SLABSp language. The fundamental concepts of caste-centric methodology, caste and scenario, as well as environment descriptions, are available as language facilities in SLABSp in a coherent way. In SLABSp programming, agents are organized into castes to represent their structure and behavior characteristics, and their behaviors are defined by scenarios and rules in the context of their environment. The relations between agents and castes are bound at runtime, and the perceptions and interactions between agents are supported with scenarios and behavior rules. Two selected SLABSp programs are demonstrated to illustrate the programming style.
The low cost and wide availability of PC-based clusters have made them an excellent alternative to access supercomputing. However, while network of workstations may be readily available, there is an increasing need fo...
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In this paper, we present Visuel tool for performance measurement and analysis of MPI parallel program in cluster environments. Most of tools available today for cluster systems show solely system performance data (e....
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The computing power provided by high performance and low cost PC-based clusters and Grid computing platforms are attractive and they are equal or superior to supercomputers and mainframes. In parallel, discussions on ...
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