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2020 | OriginalPaper | Chapter

Movie Recommendation System Using Social Network Analysis and k-Nearest Neighbor

Authors : Khamphaphone Xinchang, Doo-Soon Park, Phonexay Vilakone

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

Many types of research have been conducted in recommendation system to develop approaches to solve the challenges for collaborative filtering problem such as cold start problem; in this paper, we proposed the approach to solving the problem of collaborative by using social network analysis and k-nearest neighbor (k-NN). We used the centrality of social network to detect the community or cluster group to the user, and then apply the k-NN method to find a group for new users with similar personal information such as age, gender, and occupation after that recommendation system will recommend items that users in the group were previously interested for the new.

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Literature
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Metadata
Title
Movie Recommendation System Using Social Network Analysis and k-Nearest Neighbor
Authors
Khamphaphone Xinchang
Doo-Soon Park
Phonexay Vilakone
Copyright Year
2020
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-13-9340-2

Electronic ISBN: 978-981-13-9341-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-13-9341-9_104