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The amount of information on the Internet is getting larger and larger, and the energy of the consumer and the ability to deal with information is limited. Electricity supplier enterprises in the development process to do are to use big data for personalized shopping guide. This paper analyzes the situation of the development of e-commerce industry in the background of big data, and puts forward the...
This paper focus on building recommender system with weighted parallel hybrid method for e-commerce in Indonesia. The dataset was derived from one of the largest ecommerce company in Indonesia. The experiments used three sampling techniques, namely bootstrapping validation, timing series and systematic sampling. The best result of these experiments yields F1-measure of 9.99% which is achieved by the...
This paper measures marketing ability and financial performance and examines what cause the overall operations inefficiency based on the operational process decomposition. The empirical research on e-portal and e-commerce company show that e-portal company has better marketing ability while e-commerce firm has better financial performance. For e-commerce company, it is marketing ability conversion...
With the advent of big data phenomenon in the world of data and its related technologies, the developments on the NoSQL databases are highly regarded. It has been claimed that these databases outperform their SQL counterparts. The aim of this study is to investigate the claim by evaluating the document-oriented MongoDB database with SQL in terms of the performance of common aggregated and non-aggregate...
This paper compares the early-warning model of financial crisis home and abroad, using multiple logistic regression method to build an early warning model for enterprise financial crisis in e-commerce environment. Test results show that the model can accurately estimate the samples, and help control the samples. The accuracy rate of discriminate analysis of the model shows that the model has a good...
The development of computer science and network technology, and the rapid emergence of e-commerce bring limitless business opportunity to trade company. For the trade company, any consumer-related information is very valuable, but searching for the enormous amount of data restricts the development of e-commerce. The combination of data mining technology with multi-Agent technology can decrease the...
Based on the analysis of the defects of the two popular E -business models currently used, and the study of the needs of current Chinese companies, the paper proposed a new B2B E -business model based onP2P. This paper discussed the architecture, information flow and key technologies of the new model, together with the structure of the market constructed on this model. It states that, given the incomplete...
This paper is dedicated to the quantitative analysis and description of the adoption and assimilation phases of e-sales. The focus is placed on quantitative models of e-sales adoption relying upon Diffusion Of Innovation (DOI) mathematical models. Various models have been compared in order to determine that better describing e-sales adoption evolution, in terms of the number of adopting companies,...
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