Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/1063
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSubhabaha Pal, Sampa Pal-
dc.date.accessioned2023-09-12T09:42:15Z-
dc.date.available2023-09-12T09:42:15Z-
dc.date.issued2019-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/1063-
dc.description.abstractThis is the era of internet which has given rise to multiple opportunities for online users to purchase from digital marketplaces. Understanding the consumer journey of users is important and it is also important to understand their behaviour in the online space. This is an attempt to analyze the behaviour of online users and to predict whether they will be purchasing or opting for a service based on the last touch-point they have accessed (whether it is a customer-initiated touchpoint or a company-initiated touchpoint).en_US
dc.language.isoen_USen_US
dc.publisherIndian Journal of Computer Scienceen_US
dc.subjectCustomer journeyen_US
dc.subjecte-commerceen_US
dc.subjectCICen_US
dc.subjectFICen_US
dc.subjectMachine learningen_US
dc.titleMachine Learning Application in Analyzing Online Customer Journeyen_US
dc.typeArticleen_US
Appears in Collections:Article Archives

Files in This Item:
File Description SizeFormat 
Machine Learning Application.pdf
  Restricted Access
Machine Learning Application1.84 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.