AI 2006: AI 2006: Advances in Artificial Intelligence pp 1042-1047 | Cite as
Product Recommendations for Cross-Selling in Electronic Business
Conference paper
Abstract
A system applicable in electronic commerce environments that combines the strengths of both collaborative filtering and data mining for providing better recommendations is presented. It captures the item-to-item relationship through association rule mining and then uses purchase behaviour of collaborative users for generating the recommendations. It was implemented and evaluated on a set of real datasets. Our methodology results in improved quality of recommendations measured in terms of recall and coverage metrics.
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