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Collaborative filtering, which predicts unknown ratings by analyzing the known ratings, is regarded as one of the most successful recommender systems within the last decade. In the process of collaborative filtering, clustering methods can recognize similar users and items. Then different methods can be applied to process different clusters. By these means, the accuracy and scalability of algorithms...
In recent years, collaborative filtering becomes one of the most successful recommender systems. Its key technique is to predict new ratings from the known ratings. Unfortunately, in the previous research, the temporal information was rarely applied. That is to say, the ratings at different time were considered the same. However, from our point of view, not only the mean values of ratings in different...
In this paper, we present a novel method for clustering web objects. Most of existing methods aren't sufficient to explore similar objects, because the basic data, which include attributes of objects, click-through data, and link data, are often sparse, scarce or difficult to obtain. In contrast, the information we exploit is transaction log, which is more common, denser as well as noisier. To reduce...
It's one of the important approaches to measure and assess software credibility by testing in trustworthy software study. From the perspective of effective management and credibility analysis supporting the test process, this article describes a basic framework for its management and discusses the assessment techniques and methods of credible test process and software product.
FSP (foundation software platform) is the shoring of foundation for application system. The integration testing is the important method to ensure the quality of FSP. The integration testing of FSP would involve not only foundation software vendors, such as the vendor of operating system, the vendors of database management system and the vendors of middleware etc.; but also the users of FSP, such as...
One of the most difficult jobs for requirements analysis engineers is to select the appropriate requirements analysis knowledge for the project at hand. Once the selected requirement analysis knowledge does not fit the current project situation, it is doomed that some requirements problems will be emergent and the final system canpsilat fit in with the enterprise needs at a great extent. Requirements...
The interface specification of components usually lacks behavioral semantics information. Behavioral semantics information specify component interaction constraints on the usage of interface methods, including the order in which these methods should be called and the constraints on the method arguments and returns of methods. Based on dynamic analysis technique, a method which abstracts interaction...
This paper analyzes the requirement of a practical job-shop scheduling, which is different from the classical job-shop scheduling problems (JSP), more focus on strict resource constraints. First is formulated a mathematical model. Then described a new method, combined the time Petri net and the hybrid genetic algorithm, to solution of the practical JSP. The time Petri net was used to model discrete...
The behavioral semantics of component interfaces plays a significant role in the reuse, integration, validation and maintenance of components. However, the interface description specification of COTS component usually only contains syntax information, and lacks behavioral semantics information. This paper presents a method, called EKBehavior, for incrementally inferring a behavior model that represents...
Project situation is one critical key foundation of requirements engineering (RE) knowledge share and reuse. RE knowledge can be shared and reused under similar project situation. A new knowledge retrieve technology based on project situation similarity is proposed in this paper. Firstly, the tree models or hierarchy models of RE knowledge situation are presented. Secondly, three situation match schemes...
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