Purpose The purpose of this paper is to make the mobile e-commerce shopping more convenient and avoid information overload by a mobile e-commerce recommendation system using an improved Apriori algorithm. Design/methodology/approach Combined with the characteristics of the mobile e-commerce, an improved Apriori algorithm was proposed and applied to the recommendation system. This paper makes products that are recommended to consumers valuable by improving the data mining efficiency. Finally, a Taobao online dress shop is used as an example to prove the effectiveness of an improved Apriori algorithm in the mobile e-commerce recommendation system. Findings The results of the experimental study clearly show that the mobile e-commerce recommendation system based on an improved Apriori algorithm increases the efficiency of data mining to achieve the unity of real time and recommendation accuracy. Originality/value The improved Apriori algorithm is applied in the mobile e-commerce recommendation system solving the limitation of the visual interface in a mobile terminal and the mass data that are continuously generated. The proposed recommendation system provides greater prediction accuracy than conventional systems in data mining.

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Abstract:With the rapid development of e-commerce, the contradiction between the disorder of business information and customer demand is increasingly prominent. This study aims to make e-commerce shopping more convenient, and avoid information overload, by an interactive personalized recommendation system using the hybrid algorithm model. The proposed model first uses various recommendation algorithms to get a list of original recommendation results. Combined with the customer's feedback in an interactive manner, it then establishes the weights of corresponding recommendation algorithms. Finally, the synthetic formula of evidence theory is used to fuse the original results to obtain the final recommendation products. The recommendation performance of the proposed method is compared with that of traditional methods. The results of the experimental study through a Taobao online dress shop clearly show that the proposed method increases the efficiency of data mining in the consumer coverage, the consumer discovery accuracy and the recommendation recall. The hybrid recommendation algorithm complements the advantages of the existing recommendation algorithms in data mining. The interactive assigned-weight method meets consumer demand better and solves the problem of information overload. Meanwhile, our study offers important implications for e-commerce platform providers regarding the design of product recommendation systems.

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Abstract:Reducing carbon emissions is a major way to achieve green development and sustainability for China's future. This paper elaborates the detailed features of China's carbon flow for 2013 with the carbon flow chart and shows the changing characteristics of China's CO 2 flow from the viewpoint of specific sectors and energies from 2000 and 2013. The results show that (1) from 2000 to 2013, China's CO 2 emissions approximately grew by 9% annually, while the CO 2 intensity of China diminished at different rates. (2) The CO 2 emissions from the secondary industry are prominent from the perspective of four main sectors, accounting for 83.5% of emissions. Manufacturing plays an important part in the secondary industry with 45% of the emissions, in which the "smelting and pressing of metal" takes up a large percentage of about 50% of the emissions from manufacturing. (3) The CO 2 emissions produced by coal consumption are dominant in energy-related emissions with a contribution of 65%, which will decrease in the future. (4) From the aspect of different sectors, the CO 2 emissions mainly come from the "electricity and heating" sector and the "smelting, pressing and manufacturing of metals" sub-sector. It is essential and urgent to propose concrete recommendations for CO 2 emissions mitigation. Firstly, the progression of creative technology is inevitable and undeniable. Secondly, the government should make different CO 2 emissions reduction policies among different sectors. For example, the process emissions play an important role in "non-metallic minerals" while in "smelting and manufacturing of metals" it is energy emissions. Thirdly, the country can change the energy structure and promote renewable energy that is powered by wind or other low-carbon energy sources. Alternatively, coke oven gas can be a feasible substitution. Finally, policy makers should be aware that the emissions from residents have been growing at a fast rate. It is effective to involve the public in energy conservation and carbon emissions reduction, such as reducing the time of personal transportation.