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  1. B200 工学部/工学研究科
  2. B200e 会議資料
  3. 国際会議

A Study on Improvement of Serendipity in Item-based Collaborative Filtering Using Association Rule

http://hdl.handle.net/2237/20715
http://hdl.handle.net/2237/20715
14ae20c2-81e0-4d2f-b87d-efcd87e6aa30
名前 / ファイル ライセンス アクション
11_A_Study_on_Improvement_of_Serendipity.pdf 11_A_Study_on_Improvement_of_Serendipity.pdf (283.3 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2014-11-06
タイトル
タイトル A Study on Improvement of Serendipity in Item-based Collaborative Filtering Using Association Rule
言語 en
著者 Ito, Hiroaki

× Ito, Hiroaki

WEKO 54128

en Ito, Hiroaki

Search repository
Yoshikawa, Tomohiro

× Yoshikawa, Tomohiro

WEKO 54129

en Yoshikawa, Tomohiro

Search repository
Furuhashi, Takeshi

× Furuhashi, Takeshi

WEKO 54130

en Furuhashi, Takeshi

Search repository
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
言語 en
権利情報 © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
抄録
内容記述 The number of available items in online shops are increasing by the spread of the Internet recently. Though users have a wide range of choices, they need to find their favorite items from a huge amount of information. Thus, a variety of recommendation systems are currently in use. "Accuracy" is the most important index in these recommendation systems. However, not only "Accuracy" but also "Serendipity" is said to be needed in terms of user satisfaction recent years. In this paper, we introduce a recommendation method of collaborative filtering based on association analysis which is one of the data mining techniques. We aim to improve Serendipity keeping Accuracy high by using the evaluation information that are rated differently from a target user. In addition, we show that Accuracy and Serendipity can be adaptable by a parameter in the proposed method. This paper compares the proposed method with a conventional method in terms of the performance of Accuracy and Serendipity.
言語 en
内容記述タイプ Abstract
内容記述
内容記述 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), July 6-11, 2014, Beijing International Convention Center, Beijing, China (WCCI 2014)
言語 en
内容記述タイプ Other
出版者
言語 en
出版者 IEEE
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/FUZZ-IEEE.2014.6891655
ISBN
関連タイプ isPartOf
識別子タイプ ISBN
関連識別子 978-1-4799-2073-0
書誌情報 en : 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

p. 977-981, 発行日 2014-07
著者版フラグ
値 author
URI
識別子 http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891655
識別子タイプ DOI
URI
識別子 http://hdl.handle.net/2237/20715
識別子タイプ HDL
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