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"customers behaviour"

Personal Recommendation Services And Engines For Magento

- Magento tips & tricks

Recommender or recommendation systems form a subclass of information filtering systems. Their main purpose is to produce lists of recommendations for individual users. There are two methods used at the heart of the process: collaborative and content-based filtering. The first one relies on user’s past behavior and similar decisions made by other customers. The second one uses a series of discrete characteristics of an item in order to create a list of additional items with similar properties. Both approaches are often combined to create more complex system. Thanks to personal recommendation services and engines, e-commerce is now based on individual approach to every customer: products are marketed to individuals based on their unique needs.

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A/B Testing for Magento

 A/B testing is a randomized experiment with A and B variants, which are the control and the treatment in the testing. Variant A (the control) is the currently used version, while Variant B (the treatment) is modified. The goal of Magento A/B testing is to identify changes to an online store that increase an outcome of interest. More and more e-commerce merchants use A/B testing to get the most out of their traffic and improve sales. You can use it to test almost everything in your e-commerce business.

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