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Business Ethics as Personal Ethics Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Exploiting Guest Preferences with Aspect-Based Sentiment Analysis for Hotel Recommendation

Authors : Fumiyo Fukumoto, Hiroki Sugiyama, Yoshimi Suzuki, Suguru Matsuyoshi

Published in: Knowledge Discovery, Knowledge Engineering and Knowledge Management

Publisher: Springer International Publishing

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Abstract

This paper presents a collaborative filtering method for hotel recommendation incorporating guest preferences. We used the results of aspect-based sentiment analysis to recommend hotels because whether or not the hotel can be recommended depends on the guest preferences related to the aspects of a hotel. For each aspect of a hotel, we identified the guest preference by using dependency triples extracted from the guest reviews. The triples represent the relationship between aspect and its preference. We calculated transitive association between hotels by using the positive/negative preference on some aspect. Finally, we scored hotels by Markov Random Walk model to explore transitive associations between the hotels. The empirical evaluation showed that aspect-based sentiment analysis improves overall performance. Moreover, we found that it is effective for finding hotels that have never been stayed at but share the same neighborhoods.

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Footnotes
2
We used the clusters that the number of positive and negative words is not equal.
 
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Metadata
Title
Exploiting Guest Preferences with Aspect-Based Sentiment Analysis for Hotel Recommendation
Authors
Fumiyo Fukumoto
Hiroki Sugiyama
Yoshimi Suzuki
Suguru Matsuyoshi
Copyright Year
2016
Book
Knowledge Discovery, Knowledge Engineering and Knowledge Management

Print ISBN: 978-3-319-52757-4

Electronic ISBN: 978-3-319-52758-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-52758-1_3