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2013 | OriginalPaper | Chapter

Ranking Book Reviews Based on User Influence

Authors : Unil Yun, Heungmo Ryang

Published in: Multimedia and Ubiquitous Engineering

Publisher: Springer Netherlands

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Abstract

As the number of people who buy books online increases, it is becoming a way of life for people. Recently, algorithms to retrieve book reviews have been proposed for searching meaningful information since ranking algorithms for general purpose are not suitable. Although the previous algorithms consider features of book review, they calculate ranking scores without reflecting user influence. In this paper, thus, we propose a novel algorithm for ranking book reviews based on user influence. To apply user influence, the proposed algorithm uses recommendations by other users. For performance evaluation, we perform precision and recall tests. The experimental results show that the proposed algorithm outperforms previous algorithms for searching book reviews.

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Metadata
Title
Ranking Book Reviews Based on User Influence
Authors
Unil Yun
Heungmo Ryang
Copyright Year
2013
Publisher
Springer Netherlands
Book
Multimedia and Ubiquitous Engineering

Print ISBN: 978-94-007-6737-9

Electronic ISBN: 978-94-007-6738-6

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-94-007-6738-6_17