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Movie Recommendation based on Users' Tweets

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
G. Hemantha Kumar, Seyedmahmoud Talebi
10.5120/ijca2016909992

Hemantha G Kumar and Seyedmahmoud Talebi. Movie Recommendation based on Users' Tweets. International Journal of Computer Applications 141(14):34-36, May 2016. BibTeX

@article{10.5120/ijca2016909992,
	author = {G. Hemantha Kumar and Seyedmahmoud Talebi},
	title = {Movie Recommendation based on Users' Tweets},
	journal = {International Journal of Computer Applications},
	issue_date = {May 2016},
	volume = {141},
	number = {14},
	month = {May},
	year = {2016},
	issn = {0975-8887},
	pages = {34-36},
	numpages = {3},
	url = {http://www.ijcaonline.org/archives/volume141/number14/24854-2016909992},
	doi = {10.5120/ijca2016909992},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

In this paper new idea for recommending movies has been designed. This system is based on machine learning algorithm which calculate similarity between user's tweets and scenario of the movies. This method could recommend movies which are more similar to users' interest.

References

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Keywords

Movie Recommendation, recommender System,Text Similarity