Collaborative Filtering and ISAdvisor
Reading Time: 7 minutes Companies all over the world are increasingly utilizing recommender systems. These systems can be used by online stores, streaming services, or social networks to recommend items to users, based on their previous behavior on a certain platform (either consumed items or searched items), in order to greatly improve the value of the resource. There are several […]