Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Beyond Market Baskets: Generalizing Association Rules to Dependence Rules
Data Mining and Knowledge Discovery
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Market basket analysis in a multiple store environment
Decision Support Systems
Personalized Recommendation over a Customer Network for Ubiquitous Shopping
IEEE Transactions on Services Computing
Modeling a Store's Product Space as a Social Network
ASONAM '09 Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining
Extending market basket analysis with graph mining techniques: A real case
Expert Systems with Applications: An International Journal
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In this study, we propose a product network analysis, a network-based analysis to analyze a network-leveled relation among all products. Compared to market basket analysis, which focuses on the transaction-leveled relation between products, the suggested product network analysis focuses on extended network-leveled point of view of the relation between all products. For such a purpose, we suggest two kinds of product networks, market basket networks and co-purchased product networks. Two networks are comparatively evaluated to analyze the topological characteristics and the structure of those networks. The extended use of market basket analysis, network-leveled analysis are expected to be more effectively and efficiently used in personalized services, such as cross selling, up selling, and personalized product display utilizing the deep relation between products.