Article

Analysis and design of e-supermarket shopping recommender system

Authors:

Yu Li,

Zuo Meiyun,

Bo YangAuthors Info & Claims

ICEC '05: Proceedings of the 7th international conference on Electronic commerce

Pages 777 - 779

https://doi.org/10.1145/1089551.1089695

Published: 15 August 2005 Publication History

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Abstract

In this paper we study the application of recommender systems to E-supermarket. The authors analyze personalized requirement for customer in E-supermarket, and design the model of E-supermarket shopping recommender system. A dynamic hybrid recommendation method is presented.

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Cited By

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Kanavos AIakovou SSioutas STampakas V(2018)Large Scale Product Recommendation of Supermarket Ware Based on Customer Behaviour AnalysisBig Data and Cognitive Computing10.3390/bdcc20200112:2(11)Online publication date: 9-May-2018
https://doi.org/10.3390/bdcc2020011
Kim JMoon HAn BChoi I(2018)A grocery recommendation for off-line shoppersOnline Information Review10.1108/OIR-04-2016-010442:4(468-481)Online publication date: 13-Aug-2018
https://doi.org/10.1108/OIR-04-2016-0104
Iakovou SKanavos ATsakalidis A(2016)Customer Behaviour Analysis for Recommendation of Supermarket WareArtificial Intelligence Applications and Innovations10.1007/978-3-319-44944-9_41(471-480)Online publication date: 2-Sep-2016
https://doi.org/10.1007/978-3-319-44944-9_41

Index Terms

Analysis and design of e-supermarket shopping recommender system
1. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language features

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Information

Published In

ICEC '05: Proceedings of the 7th international conference on Electronic commerce

August 2005

957 pages

ISBN:1595931120

DOI:10.1145/1089551

Conference Chairs:
Qi Li
Xi'an Jiaotong University, China
,
Ting-Peng Liang
Sun Yat-Sen University, Taiwan, China

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 August 2005

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Cited By

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Kanavos AIakovou SSioutas STampakas V(2018)Large Scale Product Recommendation of Supermarket Ware Based on Customer Behaviour AnalysisBig Data and Cognitive Computing10.3390/bdcc20200112:2(11)Online publication date: 9-May-2018
https://doi.org/10.3390/bdcc2020011
Kim JMoon HAn BChoi I(2018)A grocery recommendation for off-line shoppersOnline Information Review10.1108/OIR-04-2016-010442:4(468-481)Online publication date: 13-Aug-2018
https://doi.org/10.1108/OIR-04-2016-0104
Iakovou SKanavos ATsakalidis A(2016)Customer Behaviour Analysis for Recommendation of Supermarket WareArtificial Intelligence Applications and Innovations10.1007/978-3-319-44944-9_41(471-480)Online publication date: 2-Sep-2016
https://doi.org/10.1007/978-3-319-44944-9_41

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Recommendations

Improving Accuracy of Recommender System by Item Clustering

Optimal design of link structure for e-supermarket website

A New Approach for Recommender System