Presentation 2013-09-12
Recipe Ingredients Recommendation using Additional Recommendation Algorithm based on Basket Analysis
Tsubasa MAYUMIDA, Mutsuo SANO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose an algorithm of recipe ingredients recommendation using Basket analysis based on Apriori algorithm as a general-purpose method that can recommend new additional ingredients. First, the proposed method gives category sets a rank based on historical database and extracts basic category sets. Next it calculates certification degree from the basic category sets and frequent category sets, and determines the additional elements. The effectiveness of proposed approach was verified by recommendation experiments about additional ingredients in daily life.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Recipe Recommendation / Food Log / Association Rule
Paper # DE2013-34
Date of Issue

Conference Information
Committee DE
Conference Date 2013/9/5(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Recipe Ingredients Recommendation using Additional Recommendation Algorithm based on Basket Analysis
Sub Title (in English)
Keyword(1) Recipe Recommendation
Keyword(2) Food Log
Keyword(3) Association Rule
1st Author's Name Tsubasa MAYUMIDA
1st Author's Affiliation Graduate School of Information Science and Technology Osaka Institute of Technology()
2nd Author's Name Mutsuo SANO
2nd Author's Affiliation Faculty of Information Scienceand Technology, Osaka Institute of Technology
Date 2013-09-12
Paper # DE2013-34
Volume (vol) vol.113
Number (no) 214
Page pp.pp.-
#Pages 6
Date of Issue