Recommender

Machine learning product recommendation service with Universal Recommender

There is a reason we call this recommender "universal" and it's because of the number of use cases it can be applied to.

Personalized Recommendations: "just for you", when you have user history
Similar Item Recommendations: "people who liked this also like these"
Shopping Cart or Complementary Items Recommendations: more generally item-set recommendations. These can be used with shopping carts, wishlists, watchlists,...

搜集汇总

背景与挑战

背景概述

该数据集提供通用推荐器服务，支持个性化推荐、相似物品推荐及购物车互补推荐等多种应用场景，适用于用户历史、物品关联及组合物品等不同需求。