A basic model of data illustrates the logical structure of a database including the relations and the constraints which determine how the data is stored and its accessibility. Individual database models are based upon...
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The product recommendation research has been focusing on modelling users' reviews to construct the relation of users and products. Thus, the recommended performance can be improved by obtaining virtual ratings fro...
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The rapid development of data analyze needs high data quality requirements. The data quality also determine the software quality. This paper proposes a test data deisgn method for evaluating data quality. The paper an...
The rapid development of data analyze needs high data quality requirements. The data quality also determine the software quality. This paper proposes a test data deisgn method for evaluating data quality. The paper analyzes the data quality requirement model of typical software applications, considering the typical data quilty problem or issus. According to different evaluation characteristics, the paper proposes a test data method for quality evalaution related to data requirement. The paper also gives detailed for data design to fulfill the evlauation requirements. The method is used to test some data set and found some data issues in actual application databases.
Nowadays, collaborative filtering has become a core technology of personalized recommender systems, but the data sparsity and scalability problems seriously affected the accuracy of similarity computation. To alleviat...
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ISBN:
(纸本)9781538675199
Nowadays, collaborative filtering has become a core technology of personalized recommender systems, but the data sparsity and scalability problems seriously affected the accuracy of similarity computation. To alleviate these problems, a novel effective similarity calculation algorithm combined with user features clustering was proposed in this paper. The newly users similarities calculation model integrated the improved user rating similarity and items category preference similarity. Then, considering the K-means clustering algorithm, we clustered the users based on the user attributes through Euclidean distance so as to the nearest neighbors could be obtained in proper clusters. Experiments on MovieLens dataset are implemented. The experiments show that, compared with other improved algorithms, the method can effectively improve the prediction accuracy and quality of recommendation system.
With the rapid development of mobile terminal, mobile applications are gradually penetrated into all aspects of people's life and work. Mobile games, mobile streaming media, location services, mobile Internet news...
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The rapid development of the Internet and ecommerce has brought a lot of convenience to people's life. Personalized recommendation technology provides users with services that they may be interested according to u...
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ISBN:
(纸本)9781538675199
The rapid development of the Internet and ecommerce has brought a lot of convenience to people's life. Personalized recommendation technology provides users with services that they may be interested according to users' information such as personal characteristics and historical behaviors. The research of personalized recommendation has been a hot point of data mining and social networks. In this paper, we focus on resolving the problem of data sparsity based on users' rating data and social network information, introduce a set of new measures for social trust and propose a novel personalized recommendation algorithm based on matrix factorization combining trust relevancy. Our experiments were performed on the Dianping datasets. The results show that our algorithm outperforms traditional approaches in terms of accuracy and stability.
The rapid development of mobile application, this paper gives a test method to find the security issues in the with mobile application software base on code analysis. The paper analyzes the code features of Android ap...
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ISBN:
(纸本)9781510845541
The rapid development of mobile application, this paper gives a test method to find the security issues in the with mobile application software base on code analysis. The paper analyzes the code features of Android application and proposes static test method for Android application. According to code and configuration characteristics, the paper gives the knowledge base and makes the code feature comparison using the existing knowledge base. The full test procedure also proposed and helps the tester to make test design and test execution. The method is used to test some mobile application and find possible security problem to avoid the security attack or personal information leak.
softwaretesting has become an essential activity to guarantee software quality. To reduce the overall cost of softwaretesting, model-based testing has been widely studied in the past two decades and Finite State Mac...
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Design for testability is one of the important research interests in software engineering. It becomes crucial in model-based testing because software behavioral models can be used to construct test sequences to perfor...
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Context-awareness has become one of the active topics in ubiquitous computing, cloud computing and so on, recently. In this paper, preliminaries of bigraph based context-aware calculus are presented for context-aware ...
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Context-awareness has become one of the active topics in ubiquitous computing, cloud computing and so on, recently. In this paper, preliminaries of bigraph based context-aware calculus are presented for context-aware system. We define the syntax and semantics of process, context and context expressions, as well as the semantics of operations in the bigraphical calculus of context-awareness.
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