Survey on Recommendation Systems
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 1
Abstract
Recommendation systems are efficient measures to handle unstructured, raw and complex data in the big data environment. Big Data has the potential to ascertain valued insights for enhanced decision-making process. Recommender systems play an important role in our day-to-day life. A recommender system automatically suggests an item to a user interested in. The recommender system has to work parallelly to provide the recommendation to the user. This paper provides a study and analysis of quality parameters of recommendation systems.
Authors and Affiliations
Avadhut D. Wagavkar, Shubhangi S. Vairagar
Keywords
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