Customer Behaviour Prediction Using Web Usage Mining

    Technology    Java,Advance Java ,My SQL

    Category      Web Application

    Description

Web usage mining involves first recording behavior and flow
 of customers on a website and then mining through this data
 for behavioural patterns. It is an important part of ecommerce
 world that allows websites to go through previously recorded
web traffic data. Ecommerce sites analyse this data in order
to provide better performance and also suggest better products
 and services to customers by identifying them next time. The
system is tuned to record web shopping/buying patterns and
track various analytics data that tend to provide future prediction
 statistics. The system scans for user budget tracking, tallying to
 previous years, user bounce rates- number of users returning from
 payment page and other site usage factors. Factors like returning
users allow site owners to make appropriate changes and give the
customer exactly what is needed. This allows for more customer
 acquisition and thus more profitability. Ecommerce sites need to
survey and mine for previously recorded data to check their website
 performance and constantly optimize it as per customer needs.


  IEEE Paper Yes

  IEEE Paper 

  Year 2017