文章基本信息

标题：BIG DATA RECOMMENDATION PROBLEMS IN E-COMMERCE SOLUTIONS FOR SMALL BUSINESS
其他标题：ZAGADNIENIA REKOMENDACJI WYKORZYSTUJĄCE BIG DATA DEDYKOWANE DLA MAŁYCH PRZEDSIĘBIORSTW E-COMMERCE
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作者：Michał Bernardelli ; Michał Bernardelli
期刊名称：Research on Enterprise in Modern Economy Theory and Practice
印刷版ISSN：2084-6495
出版年度：2017
期号：3
页码：65-76
DOI：10.19253/reme.2017.03.005
语种：English
出版社：Gdańsk University of Technology
摘要：The dynamic development of e-commerce has increased the demand for efficient algorithms and systems based on statistical analysis.The simplest of them use the web traffic statistics,other use sales parameters.Because of the amazing simplicity,transparency and enhanced features,much popularity was gained by the Google Analytics tool.None of the methods,however,without the appropriate algorithms that automate operations,is suitable for use in real time.Intelligent recommendation systems,such as the mechanism of Collaborative Filtering,significantly contribute to an increase in sales but are generally characterized by poor scalability.Of course with proper computer infrastructure and specialist knowledge,it is possible to gather big volumes of data and analyze them.All sophisticated solutions,however,are rather reserved for large companies,whose activity is based on the Internet.In this article,Big Data recommendation problems are described.Advantages and disadvantages of several used in practice algorithms are considered in particular emphasis on the suitability for the small e-commerce business.The main point of the article is the proposition of the simple in implementation recommendation algorithm and thereby achievable for small business.What is more,the online test was performed and its results presented as a good performance proof.The actual data were used thanks to the courtesy of Run4Fun.pl.In the test,the aspects of a large amount of data but also their volatility and diversity was taken into consideration.
其他摘要：Dynamiczny rozwój rynku e-commerce spowodował wzrost zapotrzebowania na skuteczne algorytmy i systemy wykorzystujące analizę statystyczną.Najprostsze z nich używają statystyk ruchu internetowego,inne statystyk sprzedaży.Ze względu na niezwykłą prostotę,pr
关键词：Big Data;e-commerce;recommendation algorithm
其他关键词：Big Data;e-commerce;algorytm rekomendacji