https://elib.vku.udn.vn/handle/123456789/2087 2026-04-20T21:56:31Z https://elib.vku.udn.vn/handle/123456789/3242 Title: Using Stochastic Gradient Descent On Parallel Recommender System with Stream Data Authors: Nguyen, Si Thin; Van, Hung Trong; Vo, Ngoc Dat; Ngo, Le Quan Abstract: Stochastic gradient descent (SGD) and Alternating least squares (ALS) are two popular algorithms applied on matrix factorization. Moreover recent researches pay attention to how to parallelize them on daily increading data. About large-scale datasets issue, however, SGD still suffers with low convergence by depending on the parameters. While ALS is not scalable due to the cubic complexity with the target time rank. The remaining issue, how to operate system, almost parallel algorithms conduct matrix factorization on a batch of training data while the system data is real-time. In this work, the authors proposed FSGD algorithm overcomes drawbacks in large-scale issue base on coordinate descent, a novel optimization approach. According to that, algorithm updates rank-one factors one by one to get faster and more stable convergence than SGD and ALS. In addition, FSGD is feasible to paralleize and operates on a stream of incoming data. The experimental results show that FSGD performs much better in solving the matrix factorization issue compared to existing state-of-the-art parallel models. Description: 2022 IEEE/ACIS, 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD); pp: 88-93 2022-08-01T00:00:00Z https://elib.vku.udn.vn/handle/123456789/3241 Title: A Study on Long Short Term Memory Algorithm in Sentiment Analysis with VietNamese Language Authors: Nguyen, Si Thin; Bui, Xuan Thien; Van, Hung Trong Abstract: The increase in the number and content of electronic information sites such as Facebook, Twitter, Instagram,… is not only a place to provide information in the form of events but also a place where users express their feelings and exchange information, feelings, experiences about life issues. Research in content mining comments to observe user reactions to make adjustments and improvements in organizations is being studied. However, how to build a good prediction algorithm on the Vietnamese data set is not simple because of Vietnamese polysemy and polymorphism. In this paper, the authors have developed the Long Short Term Memory algorithm - an extension of RNN to learn sequential data and long-term connections more accurately than RNNs standard. Using a dataset of Vietnamese comments from social networks collected by the research team together with a preprocessing, standardization, and labeling solution. The experimental results indicate the proposed model achieves an accuracy of 98.52%. From this experimental result, it is possible to further develop the research on the emotional analysis of Vietnamese sentences and can be applied in practice. Description: 2022 IEEE/ACIS, 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD); pp: 99-103. 2022-08-01T00:00:00Z https://elib.vku.udn.vn/handle/123456789/3240 Title: Toward Improving the Quality of Mutation Operator and Test Case Effectiveness in Higher-Order Mutation Testing Authors: Do, Van Nho; Nguyen, Quang Vu; Nguyen, Thanh Binh Abstract: Currently, there are many research studies that apply and improve mutation testing techniques including traditional mutation testing or first-order mutation testing, and higher-order mutation testing (HOMT) for evaluating the quality of the set of test data in particular, and the quality of test suites in general. The results of those studies have proven the effectiveness of mutation testing in the field of software testing. Mutation testing allows the quality of test cases to be automatically evaluated, thereby helping the testers to improve the quality in the design and execution of the software testing. Besides, these studies have also pointed out the main barriers in applying mutation testing techniques in practice. However, we are the first to introduce a method that can reduce the cost, but keep the quality of testing activity based on evaluating the quality of the mutation operator as well as the quality of the test cases. In this paper, we concentrate on two problems regarding higher-order mutation testing: Evaluating the quality of mutation operators as well as generated mutants and prioritizing test cases based upon its capability of killing mutants. This may help developers allocate suitably their resources during testing phase. The study of this paper is an extended version of our previous study titled “Evaluating Mutation Operator and Test Case Effectiveness by Means of Mutation Testing”, which is published in the proceedings of the 13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021 (V. N. Do, Q. V. Nguyen and T. B. Nguyen, Evaluating Mutation Operator and Test Case Effectiveness by Means of Mutation Testing, in Intelligent Information and Database Systems. ACIIDS 2021, eds. N. T. Nguyen, S. Chittayasothorn, D. Niyato and B. Trawiński. Lecture Notes in Computer Science, Vol. 12672 (Springer, Cham), https://doi.org/10.1007/978-3-030-73280-6_66) to confirm the usefulness of our proposed method. Description: Vietnam Journal of Computer Science; Vol. 09, No. 04; pp. 511-526. 2022-11-01T00:00:00Z https://elib.vku.udn.vn/handle/123456789/3239 Title: The Impact of Mass Consumption on the Economy in Postwar America and Southeast Asia Countries after the Covid -19 Pandemic Authors: Dang, Vinh Abstract: The United States (US) is a multicultural and racially diverse country. Therefore, American society is shaped by diversity in terms of ethnicity, religion, economic situation and even human outlook. That diversity has created a way of life that is quite different for Americans compared to other countries. Southeast Asia countries after the Covid-19 pandemic have also had significant changes in shopping habits. Americans spend three to four times as much time shopping, much more than people in Europe. Americans shop 53 times more products than someone in China. Meanwhile, Southeast Asia countries also spend most of their time shopping. This is also a sign of the influence of Mass Consumption culture. This article was written to provide information about the mass consumer culture of America in the post-war period and Southeast Asia Countries . In addition, it also provides an overview of its influence as well as its roles in promoting the US economy and Southeast Asia Countries. Description: International Journal of Business Management and Economic Research (IJBMER); Vol.13 (3); pp: 2046-2053. 2022-01-01T00:00:00Z