Research on a Theatre Recommendation System

Yu Long Li; Ying Li; Wei Jiang; Zhi Zhou

doi:10.4028/www.scientific.net/AMR.989-994.4775

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Research on a Theatre Recommendation System

Research on a Theatre Recommendation System

Abstract:

Nowadays the recommendation system has been widely used, especially in the field of e-commerce, SNS, music, etc. On the basis of recommendation systems which are widely used, the paper puts forward a theatre recommendation algorithm which is more suitable in the field of theatre. In order to achieve the recommendation of theatre, the paper uses a series of steps, including weight, bipartite graph, data standardization, similarity calculation. After using this algorithm, some theatres will be recommended according to recommendation level. The results of recommendation are more reasonable, effective and satisfied.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4775-4779

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.4775

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Cite this paper

Online since:

July 2014

Authors:

Yu Long Li*, Ying Li, Wei Jiang, Zhi Zhou

Keywords:

Bipartite Graph, Recommendation System, Similarity, Standardization, Theatre

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* - Corresponding Author

References

[1] Guoxia Wang and Heping Liu: Computer Engineering and Applications, Vol. 48 (2012) No. 7, p.66. (In Chinese).

Google Scholar

[2] Yijin Wang and Yao Zhao: Software, Vol. 33 (2012) No. 11, p.198. (In Chinese).

Google Scholar

[3] Bing Liu: Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Springer, Germany 2011), p.155.

DOI: 10.1007/978-3-642-19460-3

Google Scholar

[4] Arthur M. Glenberg and Matthew E. Andrzejewski: Learning from Data: An Introduction to Statistical Reasoning (Lawrence Erlbaum Associates, America 2008), p.69.

Google Scholar

[5] Hongwei Ma, Guangwei Zhang and Peng Li: Journal of Chinese Computer Systems, Vol. 30 (2009) No. 7, p.1282. (In Chinese).

Google Scholar

[6] Yuxiao Zhu and Linyuan Lv: Journal of University of Electronic Science and Technology of China, Vol. 41 (2012) No. 2, p.163. (In Chinese).

Google Scholar