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A Product Retrieval System Robust to Subjective Queries
http://hdl.handle.net/2237/15088
http://hdl.handle.net/2237/150883bc35456-6dc1-4b80-9146-efe003cb202f
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
sugiki_ICDIM2007.pdf (270.5 kB)
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| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2011-07-20 | |||||
| タイトル | ||||||
| タイトル | A Product Retrieval System Robust to Subjective Queries | |||||
| 言語 | en | |||||
| 著者 |
Sugiki, Kenji
× Sugiki, Kenji× Matsubara, Shigeki |
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| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 権利 | ||||||
| 権利情報 | (C) 2007 IEEE. Reprinted, with permission, from [Sugiki, Kenji; Matsubara, Shigeki, A Product Retrieval System Robust to Subjective Queries, 2nd International Conference on Digital Information Management in Lyon France on December 11-13. 2007]. | |||||
| 言語 | en | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | In recent years, electronic markets are increasing rapidly and attracting the attention of customers. In these sites, people search for products using retrieval systems. They, however, often cannot translate their subjective needs into keyword-based queries or adapt to the interfaces. In this paper, we describe a product retrieval system robust to subjective queries. Using a large amount of consumer reviews, the system allows users to input natural language queries and retrieves appropriate products even if the queries are highly subjective. To estimate the correspondence between a query and a review text, the system extracts 3-tuples consisting of a product name/category, its features, and the value from each text using rules based on syntactic patterns. It calculates each product scores based on correspondence rate of 3-tuples and presents ranked relevant products. In experimental results for a accommodation domain, it obtained higher average and total precision for 10 queries compared with a baseline that uses keyword based tf-idf method. Thus, we confirmed the effectiveness for subjective queries. | |||||
| 言語 | en | |||||
| 出版者 | ||||||
| 出版者 | IEEE | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
| タイプ | journal article | |||||
| 出版タイプ | ||||||
| 出版タイプ | AM | |||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1109/ICDIM.2007.4444248 | |||||
| ISBN | ||||||
| 関連タイプ | isPartOf | |||||
| 識別子タイプ | ISBN | |||||
| 関連識別子 | 978-1-4244-1475-8 | |||||
| 書誌情報 |
en : IEEE ICDIM2007 : 2nd International Conference on Digital Information Management p. 351-356, 発行日 2007-12-11 |
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| 著者版フラグ | ||||||
| 値 | author | |||||
| URI | ||||||
| 識別子 | http://dx.doi.org/10.1109/ICDIM.2007.4444248 | |||||
| 識別子タイプ | DOI | |||||
| URI | ||||||
| 識別子 | http://hdl.handle.net/2237/15088 | |||||
| 識別子タイプ | HDL | |||||
