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Movie Recommendation based on Users' Tweets

by G. Hemantha Kumar, Seyedmahmoud Talebi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 141 - Number 14
Year of Publication: 2016
Authors: G. Hemantha Kumar, Seyedmahmoud Talebi
10.5120/ijca2016909992

G. Hemantha Kumar, Seyedmahmoud Talebi . Movie Recommendation based on Users' Tweets. International Journal of Computer Applications. 141, 14 ( May 2016), 34-36. DOI=10.5120/ijca2016909992

@article{ 10.5120/ijca2016909992,
author = { G. Hemantha Kumar, 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 = {9},
url = { https://ijcaonline.org/archives/volume141/number14/24854-2016909992/ },
doi = { 10.5120/ijca2016909992 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:43:38.525515+05:30
%A G. Hemantha Kumar
%A Seyedmahmoud Talebi
%T Movie Recommendation based on Users' Tweets
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 14
%P 34-36
%D 2016
%I Foundation of Computer Science (FCS), NY, 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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Index Terms

Computer Science
Information Sciences

Keywords

Movie Recommendation recommender System Text Similarity

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