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By analyzing the common sparse problems of the score data in the collaborative filtering recommendation system, this paper presents a recommendation method for mobile networks based on user characteristics and user trust relationship. In this method, the similarity of user characteristic attributes is used to modify the similarity calculating of the original score. Then, according to the communication...
As the Web continues to grow, the pornographic texts in varied forms run rampant on Internet, despite repeated prohibitionsm. It severely does harms to the development of people's mental health and the stability of sociality. In this paper, We propose a novel and effective feature weight-value calculating method named FEFP for such objectionable information, and design a scheme to auto-build system...
Due to the exponential growth of documents on the Internet and the emergent need to organize them, the automated categorization of documents into predefined labels has received an ever-increased attention in the recent years. Among all these classifiers, k-nearest neighbors (KNNC) is a widely used classifier in text categorization community because of its simplicity and efficiency. However, KNNC still...
With the wide application of modern electrical technique to weapon systems, weapons become more and more complicated, integrated, high-speed and intellectualized. To insure weapons in their good conditions, the function of fault diagnosis gets more important than before in the process of repairing. Now, it cannot give fault diagnosis quickly and correctly only by conventional means. So developing...
This paper presents an adaptive information grid-architecture for recommendation systems, which consists of the features of the recommendation rule and a co-citation algorithm. The algorithm addresses some challenges that are essential for further searching and recommendation algorithms. It does not require users to provide a lot of interactive communication. Furthermore, it supports other queries,...
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