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Author's profile photo Jenngang Shih

Product Recommendation using HANA DB and Predictive Analysis Library (PAL)


Up sell and cross sell are important for a business to increase revenue. Given what a customer has bought in the past, a recommendation system can be brought to bear for achieving the goal. In particular, a recommendation system that uses the association analysis technique can be used to analyze what the customer want in terms of what they have already purchased (up-sell) or something they might want to get (cross sell).

A prototype has been created for such a purpose.

Problem Solved

  • Help business increase sales by associating
    related products

Main Features

  • Group related products
  • Facilitate gap analysis

Analysis Techniques

  • Association (Link) analysis

As an example, the information of purchased products by a customer can be used to analyze potential future purchases [1]. Given such product purchase history, a product recommendation system can be used to generate recommendations ranked by the relevance to purchase history [2]. In an iterative analysis process, a user can adjust certain analytical parameter to fit the need of a particular situation [3]. Finally, recommendation can be visualized to gain insight in a quick glance [4].



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