Empower Your Business With The Magic Of Machine Learning!
Adding Related Products to the product page for guest users is another great way to increase customer engagement and drive sales on your e-commerce website. When a guest user is viewing a specific product, the Related Products section can provide additional product recommendations that are related to the product they are currently viewing.
The recommendations are based on the content recommendation architecture, which uses advanced machine learning techniques like word2vec and image embedding technologies to generate recommendations. These techniques analyze the textual and visual content of the products to identify similarities and differences between them. This allows the system to cluster products into groups based on their features, which can then be used to recommend similar products.
The Related Products recommendations are typically from the same category or a closely related category to the product being viewed. This helps to provide the user with additional options that are relevant to their interests and preferences. By presenting these recommendations on the product page, you can keep the user engaged and increase the likelihood that they will make a purchase.
Overall, adding Related Products to the product page for guest users is a powerful way to increase customer engagement and drive sales on your e-commerce website. By providing personalized recommendations that are relevant to the user's interests, you can create a more personalized shopping experience that will keep your customers coming back for more.
It is well known that human behavior, and in particular consumer behavior, can be predicted. At present computers posses significant computing power and gather huge amount of data from our digital transactions.
As a result, banks, financial institutions, retailers, political campaigns, hospitals, judges, companies and organizations, have been able to predict the behavior of people.
These efforts, helped win clients, elections and battles against various diseases.
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