Survey on Recommendation Systems

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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  • EP ID EP23045
  • DOI -
  • Views 249
  • Downloads 4

How To Cite

Avadhut D. Wagavkar, Shubhangi S. Vairagar (2017). Survey on Recommendation Systems. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(1), -. https://europub.co.uk/articles/-A-23045