Design and Implementation of MapReduce-Based Book Recommendation System by Analysis of Large-Scale Book-Rental Data-Reference-Cited by-同舟云学术

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Design and Implementation of MapReduce-Based Book Recommendation System by Analysis of Large-Scale Book-Rental Data

Published:2016 Issue: Volume: Page:713-719
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Gil Joon-Min,Lim JongBum,Seo Dong-Mahn

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-1536-6_93

Reference4 articles.

1. Chen CLP, Zhang C-Y (2014) Data-intensive applications, challenges, techniques and technologies: a survey on big data, information. Science 275:314–347

2. White T (2015) Hadoop: the definitive guide, 4th edn. O’Reilly Media, Sebastopol

3. Dean J, Ghemawat S (2004) MapReduce: simplified data processing on large clusters. In: Proceedings of the 6th conference on symposium on operating systems design & implementation, p 10

4. Lee KH, Lee YJ, Choi H, Chung YD, Moon B (2011) Parallel data processing with MapReduce: a survey. SIGMOD Rec 40:11–20

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Book recommendation system: reviewing different techniques and approaches;International Journal on Digital Libraries;2024-05-14

2. A Context-Aware Personalized Hybrid Book Recommender System;Journal of Web Engineering;2020-07-17

3. Toward Effective Planning and Management Using Predictive Analytics Based on Rental Book Data of Academic Libraries;IEEE Access;2020

4. Personalized Hybrid Book Recommender;International Journal of Information Systems in the Service Sector;2019-07

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