Presentation 2004/5/31
Proposition and Evaluation of Recommendation Method Using Context of Item Purchase
Tsuyoshi TAKAYAMA, Hiroshi OGUMA, Tetsuo IKEDA, Ryosuke MIURA,
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Abstract(in English) This paper proposes a recommendation method in E-Commerce using context' of item purchase, and shows its effectiveness with an evaluation experiment. Recently, lots of attention has been attracted to recommendation technique. It recommends some items which a customer may purchase at relatively high possibility, from a shop to him/her. However, collaborative filtering which is representative in conventional methods is only based on a single hypothesis: "similar customers purchase similar items", and does not sufficiently take into account context in item purchase. Proposition in this paper extends them by introducing the context, and can improve its preciseness of recommendation.
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Keyword(in English) E-Commerce / Web database / Recommendation / Collaborative Filtering
Paper # DE2004-5
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Committee DE
Conference Date 2004/5/31(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposition and Evaluation of Recommendation Method Using Context of Item Purchase
Sub Title (in English)
Keyword(1) E-Commerce
Keyword(2) Web database
Keyword(3) Recommendation
Keyword(4) Collaborative Filtering
1st Author's Name Tsuyoshi TAKAYAMA
1st Author's Affiliation Graduate School of Software & Information Science, Iwate Prefectural University()
2nd Author's Name Hiroshi OGUMA
2nd Author's Affiliation Mainichi Communications Inc.
3rd Author's Name Tetsuo IKEDA
3rd Author's Affiliation Graduate School of Software & Information Science, Iwate Prefectural University
4th Author's Name Ryosuke MIURA
4th Author's Affiliation Services Business Group, FUJITSU Broad Solution & Consulting Inc.
Date 2004/5/31
Paper # DE2004-5
Volume (vol) vol.104
Number (no) 102
Page pp.pp.-
#Pages 6
Date of Issue