Products Recommender
![](../applications/niceshops_reco.png)
Details
In a collaborative project with niceshops, we designed various recommendation algorithms to
enhance revenue through diverse recommendation scenarios. We aimed to boost sales by
suggesting a wide range of products to customers, increasing the chances of purchase by
catering to different preferences and needs. Our approach included collaborative filtering,
content-based filtering, and hybrid methods, ensuring a balance between personalized
suggestions and product variety. By diversifying the recommended items, we successfully
captured a broader customer base, significantly improving overall revenue.