Abstract:
The volume of data is escalating enormously day by day. It is becoming hard and
complex to process such huge amount of data with usually used software tools. The
core challenges linked with the BIG DATA are storing, culling, transferring,
searching and analyzing etc. This project deals with the recommendation of products
using BIG DATA. Recommendation systems have turn into enormously common in
past years, and are functional in a variety of applications that hunt for predicting the
'preference' or 'rating' that user would give to an item. The core idea of the project is
product recommendations through item to item collaborative filtering on massive
scale of data by means of Hadoop, Hadoop Distributed File Systems (HDFS) used for
data storage and Java for development. This data is composed by crawling
Amazon.com contains product metadata and review information of several products.
Keywords: Recommendation, BIG DATA, Collaborative, Hadoop
