AN IMPLEMENTATION OF RECOMMENDATION SYSTEM FOR HOTELS BASED ON MAP-REDUCE FOR BIG DATA APPLICATIONS

Neethesh N Shenoy, Vaisakhan A, M. Sudheep Elayidom

Abstract: The large data-sets called big-data provides new opportunities and challenges in service recommendation. To analyze huge dataset, traditional recommendation services suffer problems of efficiency and scalability. Information extracted from the former users reviews will be used for recommending appropriate services to the new user. This uses a method based on keyword aware for generating recommendations. Reviews from former users are used to retrieve new user choices. It calculates rating values for various services preferred by new user. Efficiency along with scalability of the recommendation system is attained in Big Data applications by implementing it in Hadoop which uses Map-reduce paradigm. Based on rating values, a recommendation list of hotels is produced and those with high ratings is suggested to the new user.

Keywords: BigData, Hadoop, Mapreduce, KSR,

DOI: https://doi.org/10.15623/ijret.2016.0505082