Presentation 2021-08-27
Effective Combinatorial Search Method for Identifying Products in Receipts and Its Evaluation
Rihito Iijima, Masaya Nakayama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) To analyze receipt data, there is a problem that product names on receipts are not always consistent from store to store, and it is unclear which product they represent. We propose an effective searching method of the master data to identify which product is represented by the product name on the receipt. In this paper, we point out the problems of the conventional methods, introduce several methods to improve them, and propose SCCS method that derives methods to be used in effective combinatorial searching method. The method improves the performance by about 13 points compared to the conventional methods for the receipt data of major convenience stores and product master data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Receipt Analysis / Entity Matching
Paper # SWIM2021-13,SC2021-11
Date of Issue 2021-08-20 (SWIM, SC)

Conference Information
Committee SWIM / SC
Conference Date 2021/8/27(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kenji Saotome(Hosei Univ.) / Shinji Kikuchi(NIMS)
Vice Chair Akihiro Hayashi(Shizuoka Inst. of Science and Tech.) / Yoji Yamato(NTT) / Kosaku Kimura(Fujitsu Lab.)
Secretary Akihiro Hayashi(Tokyo Univ. of Science) / Yoji Yamato(Osaka Sangyo Univ.) / Kosaku Kimura(Kobe Univ.)
Assistant Tsukasa Kudo(Shizuoka Inst. of Science and Tech.) / Kokichi Tsuji(Aichi Pref. Univ.) / Shin Tezuka(Hitachi) / Takao Nakaguchi(KCGI)

Paper Information
Registration To Technical Committee on Software Interprise Modeling / Technical Committee on Service Computing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Effective Combinatorial Search Method for Identifying Products in Receipts and Its Evaluation
Sub Title (in English)
Keyword(1) Receipt Analysis
Keyword(2) Entity Matching
1st Author's Name Rihito Iijima
1st Author's Affiliation The University of Tokyo(The Univ. of Tokyo)
2nd Author's Name Masaya Nakayama
2nd Author's Affiliation The University of Tokyo(The Univ. of Tokyo)
Date 2021-08-27
Paper # SWIM2021-13,SC2021-11
Volume (vol) vol.121
Number (no) SWIM-156,SC-157
Page pp.pp.1-6(SWIM), pp.1-6(SC),
#Pages 6
Date of Issue 2021-08-20 (SWIM, SC)