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Pattern Group G. Advanced E-Commerce > Provide Different Levels of Recommendati...

Provide Different Levels of Recommendations

Often multiple data points on each customer's interests can yield useful personalization recommendations. Here are the basic schemes for personalizing recommendations and the information required to generate them:

  • Tracking the most popular purchases of customers who like the same things requires the following:

    • A database of product ratings by customers (this is different from just using product purchases because that approach assumes that customers really liked everything they purchased)

    • The current customer's product ratings

  • Tracking the best products, according to information provided by the customer, requires the following:

    • Specific information about customer needs, such as interest in new sports products or in kid's toys

    • Expert recommendations for targeting people with specific interests


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