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Personalise your digital product offering with a recommender system

Whitepaper

Job Deibel

Job Deibel
Job Deibel
Data Scientist

Finding a product that fully meets the personal needs of every consumer is difficult – not to mention misplaced targeting that haunts customers for weeks after an online search. This is not exactly pleasant for consumers, but also not good for webshops, which miss out on a close connection and bond with both existing and potential customers. This can be fixed by providing personalised recommendations, both for products that are very similar to the initial search and for additional and complementary products. The solution? A recommender system.

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