Volume : V, Issue : I, January - 2016
HADOOP BASED COLLABORATIVE RECOMMENDATION SYSTEM
Harsh S. Varudkar
Abstract :
Crumb 21st century is an age of internet and information. Growth of internet in world increases the traffic almost 3 times more. Ecommerce market, social media and online educations are some field which leads rapid growth of online presence in past few years. These lead huge amounts of information growth also Users’ tendency towards market is changing rapidly. Hence the competitions between industries are on a peak in current situation. Hence Customer has been induced. It is difficult to find a desired interest on internet by just surfing. Information filtering system is a system that removes dispensable or unnecessary information before presenting it to the human user. It is a way of sifting through the overabundance of data on the web. These information filtering system have a subclass called recommender systems or recommendation systems that predict the ‘rating‘ or ‘preference‘ that user would give to an item
Keywords :
Article:
Download PDF
DOI : https://www.doi.org/10.36106/gjra
Cite This Article:
Harsh S. Varudkar Hadoop Based Collaborative Recommendation System Global Journal For Research Analysis, Vol: 5, Issue: 1 January 2016
Number of Downloads : 548
References :
Harsh S. Varudkar Hadoop Based Collaborative Recommendation System Global Journal For Research Analysis, Vol: 5, Issue: 1 January 2016