Recommendation of Item Category Based on Random Walk Model

Shi, Yilong; Li, Jin; Chen, Jianfeng; Zeng, Ke

doi:10.1109/icbda.2019.8713258

2019 IEEE 4th International Conference on Big Data Analytics (ICBDA) 2019

DOI: 10.1109/icbda.2019.8713258

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Recommendation of Item Category Based on Random Walk Model

Yilong Shi

Jin Li

Jianfeng Chen³

et al.

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2020

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Business Analytics in E-Commerce: A Literature Review

2020

J. Ind. Intg. Mgmt.

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This paper attempts to identify the value and the use of business analytics (BA) in E-commerce, and challenges and trends associated with BA in E-commerce. It systematically examines the literature about BA, with a particular focus on E-commerce. BA has critical value in E-commerce. BA has been used in customer analysis and website usage analysis. The most important factor for the value of E-commerce BA is customer. This paper also suggests an E-commerce BA research model which describes the BA iterative process from data to analysis, to decision, to estimation, and separates BA analysis results as functional-level and competitive-level results. Challenges identified in this paper hold theoretical and practical implications. Future studies could seek an enhanced understanding of BA through quantitative analysis.

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Business Analytics in E-Commerce: A Literature Review

2020

J. Ind. Intg. Mgmt.

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Recommendation of Item Category Based on Random Walk Model

Cited by 1 publication

References 11 publications

Business Analytics in E-Commerce: A Literature Review

Business Analytics in E-Commerce: A Literature Review

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