The secret to an effective personalized recommendation system is continuity

[nurmohammadkhan]

A sophisticated AI-based personalized recommendation engine can therefore maximize the results produced by these recommendations in terms of increased sales and revenue. Companies can use the information they acquire in an increasingly detailed manner to show people those items they are most likely to want to buy, starting, for example, from a homepage that seems to be designed specifically for each of them.

The real novelty of the approach of which Amazon is an absolute master is hungary whatsapp resource not resolved in the "what" - providing users exactly what they want when they want it - but also in the "for how long": the personalized experience cannot be exhausted, once and for all, in a concluded series of interactions aimed at the purchase, but must happen continuously on a daily level and on the basis of the customer's real-time behavior on the platforms.

In other words: the thousand companies competing in the online market cannot afford to rest on a static vision of personalization, which instead, as a process, continues to evolve. From behavioral targeting to deep learning , from content personalization to conversion rate optimization , the imperative is to double efforts in an attempt to tune into a mobile and multi-faceted concept of personalization, in a careful fine tuning that allows the continuous updating of data on which personalized recommendations are based.