End to End Product Recommendation system with improvements in Apriori Algorithm

Sangeeth Sajan Baby, Singadi Likhit Reddy
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引用次数: 4

Abstract

Product Recommendation plays a major role in the revenue of an E-commerce application. But the chance of the wrong recommendation is very high and the cost of such recommendations are also very high. Why a birthday cap is always required along with the Christmas cake? - This is a kind of question that has to be considered while using the Apriori algorithm for product recommendation purpose. There might be a chance to recommend unrelated items. This paper proposes a system, which uses an improved apriori algorithm for a product recommendation, which takes the context of purchase into account.
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基于Apriori算法改进的端到端产品推荐系统
产品推荐在电子商务应用程序的收入中起着重要作用。但是,错误推荐的可能性非常高,这种推荐的成本也非常高。为什么生日帽总是和圣诞蛋糕一起被要求?——这是使用Apriori算法进行产品推荐时必须考虑的一类问题。可能会有机会推荐不相关的项目。本文提出了一种利用改进的先验算法进行产品推荐的系统,该系统考虑了购买背景。
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