Post by account_disabled on Oct 25, 2023 3:45:52 GMT
Recommendation engines - differences and operation Source: towardsdatascience.com Hybrid recommendations – this is a recommendation technique that combines the above-mentioned ones. It uses the "wisdom of the crowd", taking into account the user's individual preferences. By combining both techniques, it is able to deliver the most tailored results.
Hybrid recommendation engines - how do they work? Source: Additional rules for recommendation settings Advanced software providing recommendations allows you to take into account additional conditions phone number list set manually, thanks to which you can further adapt the recommendations to your goals. Examples of rules you can use to implement specific strategies: use a price filter that recommends products from the top price range for users.
With the highest average basket value; including specific products or subcategories implementing up and cross-selling strategies ; use information about the user's location, taking into account weather conditions, and thus recommend an appropriate product category; limit recommendations only to, non-discounted products; exclude items with low stock from the recommendations; set priority for seasonal products.
Hybrid recommendation engines - how do they work? Source: Additional rules for recommendation settings Advanced software providing recommendations allows you to take into account additional conditions phone number list set manually, thanks to which you can further adapt the recommendations to your goals. Examples of rules you can use to implement specific strategies: use a price filter that recommends products from the top price range for users.
With the highest average basket value; including specific products or subcategories implementing up and cross-selling strategies ; use information about the user's location, taking into account weather conditions, and thus recommend an appropriate product category; limit recommendations only to, non-discounted products; exclude items with low stock from the recommendations; set priority for seasonal products.