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Post by account_disabled on Oct 25, 2023 3:45:35 GMT
Global product recommendations This model means recommending the same products to all users or a selected segment of users. Therefore, it does not take into account the individual profile of a given client. it does not use any advanced mechanisms or algorithms to generate them. We have 2 types of such recommendations: generic (general) – recommendations based only on product performance. Examples include: the most popular products or the best-rated products. contextual - taking into account the context in which the user is located. a subpage on the website. For a category page, these phone number list may be the most popular in that category. In the case of a product card: similar or complementary products, purchased together as accessories matched to the main product. These recommendation methods do not require the involvement of predictive algorithms. They are not personalized in any way and are based on simple calculations the number of views or transactions of a given product. They can also be set manually when matching accessories on the product card. Therefore, you do not need any specialized recommendation software to run them. Often, standard functionalities of the store platform are sufficient. Personalized product recommendations “Real recommendations” are based on individual user preferences and behavior.
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