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Authors: Fumiyo Fukumoto ; Hiroki Sugiyama ; Yoshimi Suzuki and Suguru Matsuyoshi

Affiliation: Univ. of Yamanashi, Japan

ISBN: 978-989-758-048-2

Keyword(s): Collaborative Filtering, Latent Dirichlet Allocation, Recommendation System, Transition Probability.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaborative Filtering ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems ; User Profiling and Recommender Systems

Abstract: Collaborative filtering (CF) has been widely used as a filtering technique because it is not necessary to apply more complicated content analysis. However, it is difficult to take users’ preferences/criteria related to the aspects of a product/hotel into account. This paper presents a method of hotel recommendation that incorporates different aspects of a product/hotel to improve quality of the score. We used the results of aspect-based sentiment analysis for guest preferences. The empirical evaluation using Rakuten Japanese travel data 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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Paper citation in several formats:
Fukumoto, F.; Sugiyama, H.; Suzuki, Y. and Matsuyoshi, S. (2014). Incorporating Guest Preferences into Collaborative Filtering for Hotel Recommendation.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014) ISBN 978-989-758-048-2, pages 22-30. DOI: 10.5220/0005034000220030

@conference{kdir14,
author={Fumiyo Fukumoto. and Hiroki Sugiyama. and Yoshimi Suzuki. and Suguru Matsuyoshi.},
title={Incorporating Guest Preferences into Collaborative Filtering for Hotel Recommendation},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)},
year={2014},
pages={22-30},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005034000220030},
isbn={978-989-758-048-2},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)
TI - Incorporating Guest Preferences into Collaborative Filtering for Hotel Recommendation
SN - 978-989-758-048-2
AU - Fukumoto, F.
AU - Sugiyama, H.
AU - Suzuki, Y.
AU - Matsuyoshi, S.
PY - 2014
SP - 22
EP - 30
DO - 10.5220/0005034000220030

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