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A Book Recommendation System for Cloud Computing: A Survey

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Dharna Patel, Jitendra Dangra
10.5120/ijca2017914263

Dharna Patel and Jitendra Dangra. A Book Recommendation System for Cloud Computing: A Survey. International Journal of Computer Applications 167(5):33-36, June 2017. BibTeX

@article{10.5120/ijca2017914263,
	author = {Dharna Patel and Jitendra Dangra},
	title = {A Book Recommendation System for Cloud Computing: A Survey},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {167},
	number = {5},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {33-36},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume167/number5/27770-2017914263},
	doi = {10.5120/ijca2017914263},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Data mining is the approach to extract knowledge from raw data facts. Cloud computing is the emerging technique used to share resources and information among nodes. Recommender systems have made significant utility in daily routing life. Online shopping and Social networking sites are playing crucial role in routine life. Over 3.5 billion people uses internet for various purpose. Online shopping retail sales are predicted to grow steadily in upcoming years. Book recommendation is one of the major requirements of e-commerce portals for ease of reading and referencing purpose. This feature can help to increase shopping value with minimum shopping time. Logical recommendation not only helps to customer for purchasing but also increases total sales value. This research paper has attempted to explore the importance of book recommendation and existing solutions. It also investigates the existing solutions and scope of improvement to enhance the performance.

References

  1. Ms. Praveena Mathew, Ms. Bincy Kuriakose, Mr.Vinayak Hegde, “Book Recommendation System through Content Based and Collaborative Filtering Method” published in IEEE International Conference on Data Mining and Advanced Computing (SAPIENCE), 16-18 March 2016
  2. Pijitra Jomsri, “Book Recommendation System for Digital Library Based on User Profiles by Using Association Rule” published in IEEE Fourth International Conference on Innovative Computing Technology (INTECH), 2014
  3. Salil Kanetkar, Akshay Nayak, Sridhar Swamy, Gresha Bhatia, “Web-based Personalized Hybrid Book Recommendation System” IEEE International Conference on Advances in Engineering & Technology Research (ICAETR - 2014)
  4. Nursultan Kurmashov, “Online Book Recommendation System” Twelve International Conference on Electronics Computer and Computation (ICECCO), 2015
  5. T. Mather, S. Kumaraswamy and S. Latif, “Cloud Security and Privacy: An Enterprise Perspective on Risks and Compliance,” Sebastopol, CA: OReilly Media, Inc., 2009.
  6. Y. Park and K. Chang, “Individual and Group Behavior-based Customer Profile Model for Personalized Product Recommendation.,” Expert Syst. with Appli- cations, vol. 36, no. 2, pp. 1932–1939, 2009.

Keywords

Book Recommendation, collaborative Filtering, Classification, Cloud Computing, Amazon Dataset