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Affinity-Based Recommendations

For online retailers with large product catalogs, or publishers with large content feeds, affinity-based recommendation is a powerful method to make compelling product recommendations when and to whom they matter most. Affinity-based algorithms gather behavioral data on consumers which are used to develop rich, multi-dimensional affinity profiles for every individual site user. The site then recommends based on the user’s unique preferences and meaningful actions taken on the site.

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