文章基本信息

标题：Reverse Engineering Static Content and Dynamic Behaviour of E-Commerce Websites: A Survey
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作者：Sudhanshu Chourey ; Prof .Prashant Kumar Koshta
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：11
页码：16778
DOI：10.15680/IJIRCCE.2017.0511085
出版社：S&S Publications
摘要：E-commerce websites rely heavily on summarizing and analysing the behaviour of customers, makingan effort to influence user actions towards the optimisation of success metrics such as CTR (Click through Rate), CPC(Cost per Conversion), Basket and Lifetime Value and User Engagement. Knowledge extraction from the existingecommerce websites datasets, using data mining and machine learning techniques, has been greatly influencing theInternet marketing activities. When faced with a new e-commerce website, the machine learning practitioner starts aweb mining process by collecting historical and real-time data of the website and analysing/transforming this data inorder to be capable of extracting information about the website structure and content and its users’ behaviour. Onlyafter this process the data scientists are able to build relevant models and algorithms to enhance marketing activities.This is an expensive process in resources and time since it will always depend on the condition. We may not know apriori that a visit to a Delivery Conditions page is relevant to the prediction of a user’s willingness to buy and thereforewould not enable tracking on those pages.