Abstract
Recommendation System helps people in decision making regarding an item/person. Growth of World Wide Web and E-commerce are the catalyst for recommendation system. Due to large size of data, recommendation system suffers from scalability problem. Hadoop is one of the solutions for this problem. Collaborative filtering is a machine learning algorithm and Mahout is an open source java library which favors collaborative filtering on Hadoop environment. The paper discusses on how recommendation system using collaborative filtering is possible using Mahout environment. The performance of the approach has been presented using Speedup and efficiency.
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Kumar, T.S., Pandey, S. (2015). Customization of Recommendation System Using Collaborative Filtering Algorithm on Cloud Using Mahout. In: Buyya, R., Thampi, S. (eds) Intelligent Distributed Computing. Advances in Intelligent Systems and Computing, vol 321. Springer, Cham. https://doi.org/10.1007/978-3-319-11227-5_1
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DOI: https://doi.org/10.1007/978-3-319-11227-5_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11226-8
Online ISBN: 978-3-319-11227-5
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