Efficient Book Recommendation System Based on a MapReduce Model

Chan Shik Lim; Jung Hoon Shin; Sang Jun Lee

doi:10.4028/www.scientific.net/AMM.284-287.3405

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 284-287Efficient Book Recommendation System Based on a...

Efficient Book Recommendation System Based on a MapReduce Model

Abstract:

Today it's been getting hard to find books suitable for the purpose among a lot of books published every day. There are so many kinds of books which are more than one hundred million and huge amounts of books are published every day. Therefore, readers are getting hard to find the suitable books for them. In this paper, we propose a book recommendation system that recommends the suitable books for readers. In addition, we introduce finding relation between books in a way of looking for other titles of books mentioned in a book. The titles of books are regarded as relation data. It is used for building relation database using the MapReduce model and it will be served to readers.

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Periodical:

Applied Mechanics and Materials (Volumes 284-287)

Pages:

3405-3408

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.284-287.3405

Citation:

Cite this paper

Online since:

January 2013

Authors:

Chan Shik Lim, Jung Hoon Shin, Sang Jun Lee

Keywords:

Book Recommendation, Hadoop, MapReduce

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References

[1] Amazon.com on http://amazon.com

Google Scholar

[2] R. J. Mooney, L. Roy: Content-Based Book Recommending Using Learning for Text Categorization. Proc. of the fifth ACM conference on Digital libraries(2000), pp.195-204

DOI: 10.1145/336597.336662

Google Scholar

[3] C. Lim, J. Shin, S. Lee, K. Oh: Design and Implementation of a Book Recommendation System based on a MapReduce Model, Proc. of International Conference on Machine Learning and Computing (2011), pp.170-172

Google Scholar

[4] S. Ghemawat, H. Gobioff, Shun-Tak: The Google File System, Proc. of the nineteenth ACM Symposium on Operating systems principles (2003), pp.29-43

DOI: 10.1145/945445.945450

Google Scholar

[5] B. Cui, X. Chen: An Online Book Recommendation System Based on Web Service, Proc. of the 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, Vol. 7 (2009), pp.520-524

DOI: 10.1109/fskd.2009.328

Google Scholar

[6] C. Wang, F. Wei, P. Chao, G. Chen: Extending e-Books with Contextual Knowledge Recommenders by Analyzing Personal Portfolio and Annotation to Help Learners Solve Problems in Time, Proceedings of the IEEE International Conference on Advanced Learning Technologies (2004), pp.306-310

DOI: 10.1109/icalt.2004.1357425

Google Scholar

[7] Amazon Product Advertising API on http://docs.amazonwebservices.com/ AWSECommerceService/latest/DG/ index.html?rest-signature.html

Google Scholar

[8] J. Dean, S. Ghemawat: MapReduce: simplified data processing on large cluster, Proc. of The 6th Conference on Symposium on Operating Systems Design & Implementation, (OSDI 04), Usenix Assoc. (2004), pp.137-150

Google Scholar

[9] Hadoop on http://hadoop.apache.org/core/

Google Scholar

[10] F. Chang, J. Dean, S. Ghemawat, W. C. Hsieh, D. A. Wallach, M. Burrows, A. Fikes, R. E. Gruber: Bigtable: A Distributed Storage System for Structured Data, Proc. of the 7th Symposium on Operating Systems Design and Implementation(2006), pp.205-218

DOI: 10.1145/1365815.1365816

Google Scholar

[11] HDFS on http://hadoop.apache.org/hdfs/

Google Scholar

[12] Hbase on http://hadoop.apache.org/hbase/

Google Scholar

[13] Lucene on http://lucene.apache.org/

Google Scholar