Abstract: User information for a particular user is accessed. Application information for applications that are available in an organization of the particular user is accessed. One or more pattern matches between the user information and the application information are determined. One or more application recommendations are generated based on the determined one or more pattern matches. The one or more application recommendations are provided.

Abstract: User information for a particular user is accessed. Application information for applications that are available in an organization of the particular user is accessed. One or more pattern matches between the user information and the application information are determined. One or more application recommendations are generated based on the determined one or more pattern matches. The one or more application recommendations are provided.

Abstract: A request for recommending an item is received from a clients server, wherein the request comprises baskets data, and the basket data are associated with multiple baskets and multiple items. At least one recommendation model is built based on an Optimized Recommendations based Basket Size (ORBS) algorithm. The baskets data is processed using the recommendation model to generate a recommendation result, and the recommendation result comprises a recommended item. The recommendation result is sent to the client server to render the recommended item to be displayed on a user interface of a user device.